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Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh

Published online by Cambridge University Press:  14 November 2025

Kamrun Nahar Koly*
Affiliation:
Health System and Population Studies Division, ICDDR, Dhaka, Bangladesh
Sanjida Sultana
Affiliation:
School of General Education, BRAC University , Dhaka, Bangladesh
Jobaida Saba
Affiliation:
Health System and Population Studies Division, ICDDR, Dhaka, Bangladesh
Maliha Khan Majlish
Affiliation:
Department of Public Health and Hospital Administration, National Institute of Preventive and Social Medicine, Dhaka, Bangladesh
Md. Arif Billah
Affiliation:
Health System and Population Studies Division, ICDDR, Dhaka, Bangladesh
Juliet Watson
Affiliation:
Social Equity Research Centre, School of Global, Urban and Social Sciences, RMIT University , Melbourne, VIC, Australia
Barbara Barbosa Neves
Affiliation:
Sydney Centre for Healthy Societies, School of Social and Political Sciences, Faculty of Arts and Social Sciences, The University of Sydney, Camperdown, NSW, Australia
*
Corresponding author: Kamrun Nahar Koly; Email: koly@icddrb.org
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Abstract

Despite high rates of intimate partner violence (IPV) among women, research on its mental health consequences, particularly PTSD in slum settings, remains scarce. This study assessed PTSD prevalence and determinants among slum-dwelling women in Bangladesh who experienced IPV during the COVID-19 pandemic. A cross-sectional study was conducted between July and October 2022 among 291 women from 5 urban slums in Dhaka, who reported IPV using the World Health Organisation questionnaire. Face-to-face interviews collected sociodemographic data, pandemic-related challenges, gender roles, health information and PTSD symptoms using the validated Post-Traumatic Stress Disorder Checklist-5. Logistic regression identified PTSD predictors. Most women were married before the age of 18 years (87.9%), unemployed (69.3%), had no formal schooling (38.6%) and lived in overcrowded households (38.6%). Over half of their husbands were daily wage earners (57.9%) and had a history of substance misuse (65.9%). PTSD prevalence was 21.16% and was higher among women with non-communicable diseases (adjusted odds ratio [AOR]: 3.29; 95% confidence interval [CI]: 1.6–6.7), concern about COVID-19 infection (AOR: 3.87; 95% CI: 1.12–13.22) and increased marital arguments (AOR: 3.00; 95% CI: 1.57–5.74). IPV in slum settings imposes a significant PTSD burden, highlighting the need for community-based mental health services to support marginalised women.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

Impact statement

This study provides critical insights into the mental health consequences of intimate partner violence (IPV) on women living in urban slums, a marginalised setting where mental health conditions are neglected. In Bangladesh, over 3.4 million people live in slums, and this study addresses the emotional challenges of women whose daily lives are shaped by poverty, overcrowding, early marriage and limited healthcare access. In such a precarious state, the scars of IPV deepen, leaving women especially vulnerable to post-traumatic stress disorder (PTSD). Our findings reveal a stark reality: nearly one in four women, exposed to IPV in slum settings, experienced PTSD. The burden was even greater among women living with chronic health conditions, fearing coronavirus disease 2019 infection or facing heightened conflict with partners during the pandemic, illustrating the syndemic nature of IPV where structural inequities, illness and crisis intersect to magnify psychological harm. This research has the potential to inform public health policies and programs for promoting and safeguarding women’s mental health through integrating accessible trauma-informed care into community health services and raising community awareness about gender-based violence. Additionally, stronger legal protections, expanded social safety nets and gender-inclusive community engagement are essential to break cycles of violence and silence about both IPV and mental health. Furthermore, it recommends incorporating interdisciplinary action to strengthen women’s protection of their human rights. By scientifically endorsing the hidden psychological toll of IPV in one of the most disadvantaged urban populations, this study contributes evidence that is both locally grounded and globally relevant, underscoring the recognition and response to the mental health consequences of violence for advancing gender equity and resilient health systems.

Introduction

Intimate partner violence (IPV), according to the World Health Organisation (WHO), is the act of physical aggression, sexual coercion, psychological abuse and controlling behaviours that cause physical, sexual or psychological harm (Garbarino et al., Reference Garbarino, Lanteri, Bragazzi, Magnavita and Scoditti2021; WHO, 2024). IPV is a breach of human rights and occurs within international and local contexts of gender inequality, structural disadvantage and oppression. Globally, physical and/or sexual violence perpetrated by men against women’s intimate partners is highly prevalent, predominantly among women from developing countries (WHO, 2005; Ellsberg and Emmelin, Reference Ellsberg and Emmelin2014; Sardinha et al., Reference Sardinha, Maheu-Giroux, Stöckl, Meyer and García-Moreno2022).

In Bangladesh, IPV cases are common (42–76%) among women living in urban areas, especially those who are rural migrants living in slums (Naved and Persson, Reference Naved and Persson2005; Sambisa et al., Reference Sambisa, Angeles, Lance, Naved and Curtis2010; Sambisa et al., Reference Sambisa, Angeles, Lance, Naved and Thornton2011; Parvin et al., Reference Parvin, Sultana and Naved2016; Stake et al., Reference Stake, Ahmed, Tol, Ahmed, Begum, Khanam, Harrison and Baqui2020). According to the World Bank, ~52% of Bangladesh’s urban population, about 1.8 million people live in slums, having migrated from rural to urban areas. This demographic shift eventually makes underprivileged individuals more prone to increased stress and social challenges, such as unemployment and housing scarcity, leading to altered family dynamics, social structures, behaviour and relationship patterns. Additionally, these migratory challenges influence the poor mental health and socio-cultural negligence of women from low-income communities, such as slums (Amjad, Reference Amjad2019; Agarwal et al., Reference Agarwal, Jain, Garg, Singh and Mittal2020). Furthermore, low socio-economic status and decision-making power, early marriage, limited access to healthcare and educational resources, financial insecurities and patriarchal culture contribute to the mistreatment of women by their own partners, leaving them 15% more vulnerable to IPV than those who are not living in similar marginalised settings (Sharmin and Luna, Reference Sharmin and Luna2015; Al Helal et al., Reference Al Helal, Islam and Rahman2017; Sharma et al., Reference Sharma, Amobi, Tewolde, Deyessa and Scott2020; Ralli et al., Reference Ralli, Urbano, Gobbi, Shkodina, Mariani, Morrone, Arcangeli and Ercoli2021). The recent coronavirus disease 2019 (COVID-19) pandemic deepened these chronic vulnerabilities, causing a dramatic rise in IPV cases in Bangladesh (Buttell and Ferreira, Reference Buttell and Ferreira2020; John et al., Reference John, Casey, Carino and McGovern2020; Abir et al., Reference Abir, Kalimullah, Osuagwu, Yazdani, Husain, Goson, Basak, Rahman, Al Mamun and Permarupan2021; Agüero, Reference Agüero2021; Koly Islam et al., Reference Islam, Rahman, Banik, Emran, Saiara, Hossain, Hasan, Sikder, Smith and Potenza2021; Koly et al., Reference Koly, Islam, Reidpath, Saba, Shafique, Chowdhury and Begum2021; Wake and Kandula, Reference Wake and Kandula2022; Yunitri et al., Reference Yunitri, Chu, Kang, Jen, Pien, Tsai, Kamil and Chou2022). Also, global studies documented that extended isolation, household economic challenges and limited access to support services resulted in increasing mental health disorders such as PTSD for victims of IPV (Bradbury-Jones and Isham, Reference Bradbury-Jones and Isham2020; John et al., Reference John, Casey, Carino and McGovern2020; Mazza et al., Reference Mazza, Marano, Lai, Janiri and Sani2020; Thibaut and van Wijngaarden C, Reference Thibaut and van Wijngaarden C2020).

PTSD is a complex and long-term mental health condition and has been associated with IPV in different studies (Kemp et al., Reference Kemp, Rawlings and Green1991; Dutton, Reference Dutton1995; SILVA et al., Reference Silva, McFarlane, Soeken, Parker and Reel1997). PTSD is brought on by going through traumatic life events and includes symptoms such as reliving and recollecting the event, depressive thoughts, self-destructive behaviour and prolonged psychological distress (DSM, 1994; Dutton, Reference Dutton1995). Women exposed to IPV are twice as likely to develop PTSD, with prevalence estimates among IPV survivors ranging from 30 to 50% with factors such as psychological abuse, chronic fear and limited coping mechanisms increasing vulnerability (Nathanson et al., Reference Nathanson, Shorey, Tirone and Rhatigan2012; Fernández-Fillol et al., Reference Fernández-Fillol, Pitsiakou, Perez-Garcia, Teva and Hidalgo-Ruzzante2021; Dai et al., Reference Dai, Chu, Qi, Yuan, Zhou, Xiang and Shi2023; White et al., Reference White, Sin, Sweeney, Salisbury, Wahlich, Montesinos Guevara, Gillard, Brett, Allwright, Iqbal, Khan, Perot, Marks and Mantovani2024). Although mental health conditions among women with IPV experiences were investigated across pregnant, rural and urban populations, there is no empirical evidence of PTSD in female slum residents during the COVID-19 pandemic in Bangladesh (SILVA et al., Reference Silva, McFarlane, Soeken, Parker and Reel1997; Nasreen et al., Reference Nasreen, Kabir, Forsell and Edhborg2011; Ziaei et al., Reference Ziaei, Frith, E-C and Naved2016; Islam et al., Reference Islam, Broidy, Baird and Mazerolle2017; De and Murshid, Reference De and Murshid2018; Jain et al., Reference Jain, Davey-Rothwell, Crossnohere and Latkin2018; Esie et al., Reference Esie, Osypuk, Schuler and Bates2019; Rashid Soron et al., Reference Rashid Soron, Ashiq, Al-Hakeem, Chowdhury, Uddin Ahmed and Afrooz Chowdhury2021; Tasnim et al., Reference Tasnim, Abedin and Rahman2023). Therefore, there was a scope for exploring the interaction of COVID-19-related stressors with IPV and PTSD in urban slum settings, which is already defined by unstable living conditions and chronic insecurity. Moreover, no prior Bangladeshi study has applied a validated PTSD assessment tool, such as the PCL-5, in this population, limiting comparability with international research. Thus, this study is the first ever to aim to determine the prevalence of PTSD and the associated factors among women who have experienced IPV and live in urban slums in Dhaka, Bangladesh. Findings show a significant prevalence of PTSD among women living in precarious circumstances, such as urban slums (Chowdhury et al., Reference Chowdhury, Rahman, Morium, Hasan, Bhuiyan and Arifeen2018). It is, therefore, essential to design community-based interventions for PTSD targeting women who have unstable living circumstances and incorporate interdisciplinary action aimed at strengthening women’s protection of their human rights.

Methods

Study setting

The study focused on the slum population in Dhaka City Corporation, where ~4 million people inhabit more than 5,000 slums. People living in slums face risks of crime, violence, limited health benefits and psychological distress due to densely populated settings, poverty and lack of formalised support. This study utilised the sample frame from the Urban Health and Demographic Surveillance Systems (Urban HDSS) of the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), which was conducted in 13 large and stable slums across 5 locations in Dhaka city. The urban HDSS covers Korail, Mirpur (Dhaka North City Corporation), Shyampur, Dholpur (Dhaka South City Corporation) and Tongi (Gazipur City Corporation), where ~1,56,000 individuals reside in nearly 40,000 households. Most dwellings (81.6% of households) have only one room, and 90% of them share a single toilet and a piped water source. About half (50%) of residents dispose of their daily garbage in an open space just outside their homes (Razzaque et al., Reference Razzaque, Chowdhury, Mustafa, Mahmood, Iqbal, Hanifi, Islam, Chin, Adams, Bhuiya and Reidpath2023).

Study design and population

This cross-sectional study was conducted between July and October 2022. The study participants were selected by employing the following inclusion criteria: (i) enrolled in Urban HDSS, (ii) aged between 18 and 60 years old, (iii) married, (iv) lived with husband for the last 2 years before data collection (during the entire period of the pandemic) and (v) lived in the respective slum for the years preceding the study. Critically ill and pregnant women were excluded from the study due to added ethical issues, potential health risks and the need for specialised care that could affect the study outcomes. Also, pregnancy is a special period of time with several hormonal and physiological changes, and this population is vulnerable and prone to antenatal depression. This study adhered to the criteria of Strengthening the Reporting of Observational studies in Epidemiology (STROBE) (Supplementary 1).

The sample size was calculated by using the following standard formula (1), where n is the required sample size, z is the z-value for the desired confidence level, p is the estimated population proportion (0.5 for maximum variability), q = 1 – p and d is the margin of error.

(1) $$ n=\frac{z^2 pq}{d^2} $$

Considering the 40% prevalence of depressive symptoms among IPV survivors who were garment workers living in urban slums from a previous study (Parvin et al., Reference Parvin, Mamun, Gibbs, Jewkes and Naved2018), a sample size of 369 was required with a 95% level of significance and a .05 margin of error. We assumed a 10% non-response rate, given the high mobility of the slum population and the fact that data were collected from prior sampling frames of urban HDSS sites; thus, the final sample size was 405.

To separate the population with IPV experiences from the sample population, we preliminarily analysed and identified that 71.6% of women had experienced any form of IPV (physical, emotional and sexual violence) among the 405 women; therefore, we only included 290 women as the analytical sample for this study. However, it is worth noting that the observed 71.6% prevalence of IPV in the recruited HDSS sample should not be interpreted as a general prevalence estimate for all slum populations. Identifying women who experienced IPV is detailed in the data collection tools and procedures section.

Data collection tools and procedures

A semi-structured questionnaire was used to collect response from each participant. The questionnaire was pretested on 50 women from non-selected slums in Dhaka city and modified based on participants’ feedback. The questionnaire was developed with open and closed-ended questions related to sociodemographic characteristics, COVID-19 pandemic-related challenges, having non-communicable diseases (NCDs) and perceptions and attitudes about gender roles and household stress (Miller et al., Reference Miller, Decker, Raj, Reed, Marable and Silverman2010; Chien et al., Reference Chien, Fitch, Yu, Karim and Alamgir2018; De and Murshid, Reference De and Murshid2018; Chen and Harris, Reference Chen and Harris2019; Gautam and H-S, Reference Gautam and H-S2019; Vilaplana-Pérez et al., Reference Vilaplana-Pérez, Sidorchuk, Pérez-Vigil, Brander, Isoumura, Hesselmark, Sevilla-Cermeño, Valdimarsdóttir, Song, Jangmo, Kuja-Halkola, D’Onofrio, Larsson, Garcia-Soriano, Mataix-Cols and Fernández de la Cruz2020; Islam et al., Reference Islam, Rahman, Banik, Emran, Saiara, Hossain, Hasan, Sikder, Smith and Potenza2021; Saud et al., Reference Saud, Ashfaq and Mas’ udah2021; Folayan et al., Reference Folayan, Ibigbami, ElTantawi, Abeldaño, Ara, Ayanore, Ellakany, Gaffar, Al-Khanati, Idigbe, Ishabiyi, Jafer, Khan, Khalid, Lawal, Lusher, Nzimande, Osamika, Popoola, Quadri, Roque, Shamala, Al-Tammemi, Yousaf, Virtanen, Zuñiga, Okeibunor and Nguyen2022; Koly et al., Reference Koly, Tasnim, Ahmed, Saba, Mahmood, Farin, Choudhury, Ashraf, Hasan, Oloniniyi, Modasser and Reidpath2022; Sujan et al., Reference Sujan, Tasnim, Haghighathoseini, Hasan and Islam2023; Padmanabhanunni and Pretorius, Reference Padmanabhanunni and Pretorius2024). The questionnaire also included two sections of the standardised WHO questionnaire on IPV and Post-Traumatic Stress Disorder checklist-5 (PCL-5). The WHO standardised questionnaire on IPV was used to identify the women with a history of IPV in the sample. The Bangla adaptation of the questionnaire included questions on physical, sexual and emotional violence inflicted by an intimate partner or husband. The participants were asked questions about their personal experiences with each episode of violence, as well as frequency. A five-point Likert scale (once, a few times, monthly, weekly or daily) was used to group individuals who answered “yes” to all IPV-related questions, thereby reducing the likelihood of recall bias (Palinkas et al., Reference Palinkas, Horwitz, Green, Wisdom, Duan and Hoagwood2015) during data analysis.

The PCL-5 scale was utilised to screen PTSD symptoms in the sample population. The PCL-5, guided by the Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5), is a self-report measure consisting of 20 questions, previously validated and used in the Bangladeshi population (Islam et al., Reference Islam, Ferdous, Sujan, Tasnim, Masud, Kundu, Mosaddek, Choudhuri, Kira and Gozal2022). This helped determine the extent to which an individual was affected by trauma in the most recent month. The scores range from 0 (meaning “not at all”) to 4 (meaning “very much”). The total number of elements is added to determine the severity of the subscale. The participants who scored higher than 31 were considered to have PTSD symptoms (Islam et al., Reference Islam, Ferdous, Sujan, Tasnim, Masud, Kundu, Mosaddek, Choudhuri, Kira and Gozal2022). In this study, the internal consistency reliability of the PCL-5 was 0.95, indicating excellent reliability.

Data collection and participant identification procedure

For the data collection, female research assistants (RAs) received intensive training in conducting one-to-one interviews and collecting sensitive information about IPV and mental health. A detailed list of participants, including names, addresses and cell phone numbers, was provided to the RAs, which helped them locate the participants within the slum households. Following the consent procedures of previous IPV-related research and the ethical recommendations for studying violence against women (VAW) by the WHO (Naved et al., Reference Naved, Mamun, Mourin and Parvin2018), the RAs obtained oral consent from participants before data collection. The study objective and nature of the questions were shared with the participants, and their consent process was audio-recorded. RAs read the Bengali consent form and informed the participants about their right to withdraw from the study at any point without consequence, which can help them feel more at ease, reducing fear, subconscious resistance and concealment and ensuring participants feel more comfortable with their research involvement. The one-to-one interviews were conducted face-to-face in a private space preferred by the participant, at a time convenient to them. After completing the data collection phase, open responses were given post-codes.

Data analysis

The results for participants’ characteristics were evaluated by first categorising them according to their exposure to PTSD (yes/no) and then using descriptive statistics for continuous variables and percentage distribution for the categorical variables.

Explanatory variables were selected by a comprehensive literature search and matched with the available variables and proxies (Miller et al., Reference Miller, Decker, Raj, Reed, Marable and Silverman2010; Chien et al., Reference Chien, Fitch, Yu, Karim and Alamgir2018; De and Murshid, Reference De and Murshid2018; Chen and Harris, Reference Chen and Harris2019; Gautam and H-S, Reference Gautam and H-S2019; Vilaplana-Pérez et al., Reference Vilaplana-Pérez, Sidorchuk, Pérez-Vigil, Brander, Isoumura, Hesselmark, Sevilla-Cermeño, Valdimarsdóttir, Song, Jangmo, Kuja-Halkola, D’Onofrio, Larsson, Garcia-Soriano, Mataix-Cols and Fernández de la Cruz2020; Islam et al., Reference Islam, Rahman, Banik, Emran, Saiara, Hossain, Hasan, Sikder, Smith and Potenza2021; Saud et al., Reference Saud, Ashfaq and Mas’ udah2021; Folayan et al., Reference Folayan, Ibigbami, ElTantawi, Abeldaño, Ara, Ayanore, Ellakany, Gaffar, Al-Khanati, Idigbe, Ishabiyi, Jafer, Khan, Khalid, Lawal, Lusher, Nzimande, Osamika, Popoola, Quadri, Roque, Shamala, Al-Tammemi, Yousaf, Virtanen, Zuñiga, Okeibunor and Nguyen2022; Koly et al., Reference Koly, Tasnim, Ahmed, Saba, Mahmood, Farin, Choudhury, Ashraf, Hasan, Oloniniyi, Modasser and Reidpath2022; Sujan et al., Reference Sujan, Tasnim, Haghighathoseini, Hasan and Islam2023; Padmanabhanunni and Pretorius, Reference Padmanabhanunni and Pretorius2024). Then, we tested those variables at a 10% significance level and incorporated them into the final model. The explanatory variables were

The level of PTSD was reported with a 95% confidence interval (CI) for all forms of IPV. We performed a crude logistic regression analysis as the primary method for selecting explanatory variables for the final model. Variables that became significant at a 15% significance level were considered in the multivariate logistic regression model. This relaxed threshold was chosen according to the purposeful selection approach and reduces the risk of prematurely losing potentially important associated factors, including confounders (Bursac et al., Reference Bursac, Gauss, Williams and Hosmer2008). However, several variables, that is, women’s age, education and husband’s substance use, were emphasised in the multivariate model as these variables were found to be associated factors for mental health conditions in previous literature (Chien et al., Reference Chien, Fitch, Yu, Karim and Alamgir2018; Islam et al., Reference Islam, Rahman, Banik, Emran, Saiara, Hossain, Hasan, Sikder, Smith and Potenza2021; Sujan et al., Reference Sujan, Tasnim, Haghighathoseini, Hasan and Islam2023). Variables that significantly contributed to PTSD in the multivariate model at different levels of significance (<0.1, <0.05, <0.01 and <0.001) were presented, and their adjusted odds ratios with 95% CIs were reported. The multivariate model included participant’s age, education, husband’s substance use and all variables with p < .15 from the bivariate analysis, including participant’s working status, husband’s age, husband’s earning type, participants having NCDs, participant worried about COVID-19 infection, having argument with husband, attitude towards wife beating, participant’s opinion in family decision-making and requirement of husband’s permission to visit healthcare. All the analyses were conducted in STATA Windows version (15.1).

Patient and public involvement

The study was conducted in accordance with the WHO ethical recommendations for the study of VAW (Naved et al., Reference Naved, Mamun, Mourin and Parvin2018), upholding participants’ anonymity and privacy. The participants were informed about the study objectives, the voluntary nature of their participation and their full independence to discontinue participation in the research at any time. Moreover, the study team assured them of their privacy and the confidentiality of their information, noting that materials would be accessible only to the team and would be kept in a secure location. The data collection team scored the psychometric scale and shared information on free and low-cost psychosocial support services to those who scored high in PTSD. The research team involved in data collection and analysis received training on ethical conduct for research involving humans, as well as applicable personal and health privacy legislation.

Author reflexivity statement

This study identified the prevalence and associated factors of PTSD among women who had experienced IPV during the COVID-19 pandemic, living in the slums of Dhaka city, Bangladesh. Since the study areas were part of an urban HDSS, the RA conducted door-to-door recruitment. KNK is a global mental health researcher based in Bangladesh and has prior experience conducting studies among women from slum communities. All study data were fully anonymised and are available at reasonable request from the Institutional Review Board secretariat of icddr,b.

Results

Participant’s characteristics

A total of 290 (71.06%) women who experienced IPV during the COVID-19 pandemic were included for analysis. The average age was 30 years (95% CI: 29.5, 31.2), and nearly two-thirds (66.5%) attended school (see Table 1). Approximately 31% of women were daily earners working in clerical, administrative and managerial positions, as well as the ready-made garment sector. The majority of participants (87.9%) were married at an early age (before 18 years), with the average age of their husbands being 37.1 years (95% CI: 35.9, 38.2). More than half of the husbands (58%) were daily earners, followed by those who were monthly wage earners (36.2%). Around 66% of women reported that their husbands used substances such as jorda (boiled tobacco traditionally eaten with betel leaf), cannabis and other narcotics or drugs.

Table 1. Participants characteristics

Note: NCDs, non-communicable diseases; PTSD, post-traumatic stress disorder.

* Mean with 95% CI was reported.

The average household size was 4.4, and more than 61% of women lived in families with <5 household members. About 58% of them reported having NCD(s), such as cardiovascular diseases (CVDs), diabetes and kidney diseases.

Prevalence of PTSD among IPV survivors

Among the 290 participants who reported experiencing any form of IPV, about 21.16% (n = 40) had developed PTSD symptoms. In total, 25.74% (n = 26) of women who experienced all forms of IPV had developed PTSD (Figure 1). However, among the overall sample, 9.57% (n = 11) of women had PTSD while having no experience of IPV.

Figure 1. Prevalence of PTSD by IPV exposure status among women in urban slums. PTSD prevalence was 9.57% among women without IPV exposure, 21.16% among women exposed to any form of IPV and 25.74% among those exposed to all forms of IPV. Error bars represent 95% confidence intervals.

Associated factors of PTSD

We conducted a bivariate logistic regression model with the possible explanatory variable, as presented in Table 2. Results show that participants who were working (1.81, 95% CI: 1.02, 3.20, p < .05), reported NCDs (3.05, 95% CI: 1.62, 5.75, p < .01); had older husbands (1.03, 95% CI: 1.00, 1.06, p < .05); husbands who were daily earners (1.91, 95% CI: 1.01, 3.61, p < .05) or were unemployed (3.89, 95% CI: 1.29, 11.73, p < .05) had increased arguments with their husbands (3.09, 95% CI: 1.75, 5.47, p < .001) and were found to be significant compared to counterparts (Table 3). Moreover, participants who reported that their opinion was not considered in family decisions (2.05, 95% CI: 1.11, 3.76, p < .05) were also more likely to have PTSD symptoms.

Table 2. Associated factors of PTSD among the women exposed to intimate partner violence (IPV) using the bivariate logistic regression

Note: CI, confidence interval; COR, crude odd ratio; SE, standard error.

Variables were considered statistically significant at p < 0.05 (95% CI). Statistically significant values are indicated with an asterisk (*). Reference categories are explicitly stated in each variable group.

Table 3. Associated factors of PTSD among the women exposed to IPV using the multivariate logistic regression (n = 290)

Note: Model fit-χ 2: 52.708, p < .001, pseudo-r 2: 0.169.

AOR, adjusted odds ratio; CI, confidence interval; SE, standard error.

Variables were considered statistically significant at p < .05 (95% CI). Statistically significant values are indicated with an asterisk (*). Reference categories are explicitly stated.

A multivariate logistic regression analysed the associated factors of PTSD among women who were exposed to IPV (Table 3). Women who reported having NCDs had 3.29 (p < .05) times more likelihood of having PTSD symptoms compared to those who did not have NCDs. In comparison to women who were not worried about COVID-19 infection, women who were worried were 3.87 (p < .05) times more likely to suffer from PTSD symptoms. Participants who had increased arguments with their husbands during the pandemic were three times (p < .001) more likely to have PTSD symptoms than those who did not.

Discussion

PTSD is one of the leading causes of psychosocial disability, impaired social functioning and low health-related quality of life (Miethe et al., Reference Miethe, Wigger, Wartemann, Fuchs and Trautmann2023). Additionally, IPV is identified as one of the emerging risk factors of PTSD worldwide, being a significant public health and human rights issue (Miethe et al., Reference Miethe, Wigger, Wartemann, Fuchs and Trautmann2023). Research has shown that women are more susceptible to both PTSD and IPV, pointing towards a bidirectional relationship between the two factors (Kemp et al., Reference Kemp, Rawlings and Green1991; Miller et al., Reference Miller, Decker, Raj, Reed, Marable and Silverman2010; Chien et al., Reference Chien, Fitch, Yu, Karim and Alamgir2018; De and Murshid, Reference De and Murshid2018; Fernández-Fillol et al., Reference Fernández-Fillol, Pitsiakou, Perez-Garcia, Teva and Hidalgo-Ruzzante2021; Sekoni et al., Reference Sekoni, Mall and Christofides2021; Langhinrichsen-Rohling et al., Reference Langhinrichsen-Rohling, Schroeder, Langhinrichsen-Rohling, Mennicke, Harris, Sullivan, Gray and Cramer2022; Lyons and Brewer, Reference Lyons and Brewer2022). Furthermore, increased incidence of IPV during the COVID-19 pandemic might lead to significant psychological impacts, such as PTSD in women globally, including low and middle income countries (LMICs), and also in Bangladesh (Whittle et al., Reference Whittle, Sheira, Wolfe, Frongillo, Palar, Merenstein, Wilson, Adedimeji, Weber, Adimora, Ofotokun, Metsch, Turan, Wentz, Tien and Weiser2019; Islam et al., Reference Islam, Rahman, Banik, Emran, Saiara, Hossain, Hasan, Sikder, Smith and Potenza2021; Rashid Soron et al., Reference Rashid Soron, Ashiq, Al-Hakeem, Chowdhury, Uddin Ahmed and Afrooz Chowdhury2021; Folayan et al., Reference Folayan, Ibigbami, ElTantawi, Abeldaño, Ara, Ayanore, Ellakany, Gaffar, Al-Khanati, Idigbe, Ishabiyi, Jafer, Khan, Khalid, Lawal, Lusher, Nzimande, Osamika, Popoola, Quadri, Roque, Shamala, Al-Tammemi, Yousaf, Virtanen, Zuñiga, Okeibunor and Nguyen2022; Uzoho et al., Reference Uzoho, Baptiste-Roberts, Animasahun and Bronner2023).

Historically, the rate of IPV is higher in low-income communities, such as rural–urban migrants living in slums, and its mental health impact is well-documented in international studies (Dutton, Reference Dutton1995; Brewin et al., Reference Brewin, Andrews and Valentine2000; Maercker and Müller, Reference Maercker and Müller2004; Fernández-Fillol et al., Reference Fernández-Fillol, Pitsiakou, Perez-Garcia, Teva and Hidalgo-Ruzzante2021). In terms of Bangladesh, the laws for preventing VAW give special attention to dowry-related violence, rape, murders, and so forth. However, it does not recognise all forms of violence, including IPV, and ignores the prime influential factors such as the influence of in-laws, husbands, socio-economic contexts and religious sanctions. Despite such vulnerabilities, people living in Bangladesh have low mental healthcare-seeking tendencies and a high level of stigma, with no community-based mental health services, especially for underprivileged communities (Nuri et al., Reference Nuri, Sarker, Ahmed, Hossain, Beiersmann and Jahn2018; Hasan et al., Reference Hasan, Anwar, Christopher, Hossain, Hossain, Koly, Saif-Ur-Rahman, Ahmed, Arman and Hossain2021). Although 96.3% of the domestic violence survivors in Bangladesh believe mental health support is necessary, only 25% are aware of the available services and know how or where to access them (Rashid Soron et al., Reference Rashid Soron, Ashiq, Al-Hakeem, Chowdhury, Uddin Ahmed and Afrooz Chowdhury2021). As a result, IPV and its mental health consequences remain unaddressed. Therefore, our study is the first of its kind to explore the prevalence of PTSD and its determinants in a vulnerable population, such as women living in urban slums who were exposed to IPV (Dutton, Reference Dutton1995; Brewin et al., Reference Brewin, Andrews and Valentine2000; Maercker and Müller, Reference Maercker and Müller2004; Fernández-Fillol et al., Reference Fernández-Fillol, Pitsiakou, Perez-Garcia, Teva and Hidalgo-Ruzzante2021). In Bangladesh and the Global South, women living in slums are excellent drivers of the informal sector, contributing to their households, communities and the country’s economy. Thus, safeguarding their well-being is not only critical for their human rights and personal health but also essential for the overall socio-economic stability and development of these regions (Adams et al., Reference Adams, Islam and Ahmed2015; Al Helal et al., Reference Al Helal, Islam and Rahman2017).

Our study reported that about 21.16% of women who experienced IPV had developed PTSD symptoms in the selected urban slums of Dhaka. The relatively high rate of PTSD might be due to poor living situations, low socio-economic status, lack of accessibility to basic resources, vulnerability to infectious diseases and lack of social support (Fatemeh et al., Reference Fatemeh, Fatemeh, Parisa, Fatemeh and Zohreh2021). Additionally, a systematic review has indicated that the majority of the (31–84.4%) women with exposure to IPV suffered from PTSD (Woods et al., Reference Woods, Hall, Campbell and Angott2008). Research has also shown that women with a history of IPV reported a significantly higher rate of PTSD symptoms as compared to women who were not exposed to IPV (Pico-Alfonso, Reference Pico-Alfonso2005). Living with an abusive partner can exacerbate symptoms associated with PTSD, as they can experience a chronic feeling of fear and stress (Pico-Alfonso, Reference Pico-Alfonso2005). Such cases are highly prevalent in LMICs like Bangladesh, where accessibility to mental health services is low, and where women living in slums face low education, early marriage, poor wealth indices and patriarchal gender norms (Gunarathne et al., Reference Gunarathne, Bhowmik, Apputhurai and Nedeljkovic2023).

Worldwide, different studies supported the association between the presence of NCDs, such as CVDs, diabetes mellitus (DM), hypertension, kidney disease and PTSD (Mulugeta et al., Reference Mulugeta, Xue, Glick, Min, Noe and Wang2019; Stein et al., Reference Stein, Benjet, Gureje, Lund, Scott, Poznyak and van Ommeren2019). This is consistent with our findings, where the women who self-reported having any form of NCDs were found to be 3.29 times as likely to have PTSD symptoms, which might be due to their limited ability to manage complex health issues. Furthermore, for people living in slums, accessing healthcare is more challenging in urban areas than in rural areas due to the lack of primary healthcare infrastructure (Adams et al., Reference Adams, Islam and Ahmed2015). The slum community-based urban satellite clinics found in some urban areas are typically temporary, project-based and do not prioritise mental health care, leaving public tertiary care facilities as the only option for people living in urban slums. These facilities are seldom accessed due to long distances and high traffic, which deters people from low-income communities from seeking timely care. They often neglect their conditions out of fear of catastrophic out-of-pocket expenses associated with private care (Afsana and Wahid, Reference Afsana and Wahid2013; Mannan, Reference Mannan2013; Adams et al., Reference Adams, Islam and Ahmed2015; Al Helal et al., Reference Al Helal, Islam and Rahman2017; Ahamad, Reference Ahamad2020). In addition to already being susceptible to common mental health problems such as stress and anxiety due to living in precarious conditions, the management of long-term chronic NCD conditions may intensify distress among women. Exposure to IPV may exacerbate psychological distress, resulting in elevated PTSD symptoms (Stein et al., Reference Stein, Benjet, Gureje, Lund, Scott, Poznyak and van Ommeren2019; Jones and Gwenin, Reference Jones and Gwenin2021), as elucidated by the WHO five-by-five approach that explains the bidirectional relationship between NCD and PTSD (Stein et al., Reference Stein, Benjet, Gureje, Lund, Scott, Poznyak and van Ommeren2019). Prolonged periods of stress can lead to elevated cortisol levels in the bloodstream and hypothalamic–pituitary–adrenal axis dysregulation, leading to a wide range of NCDs like DM, CVD and autoimmune diseases (Jones and Gwenin, Reference Jones and Gwenin2021). Therefore, in developing settings like Bangladesh with a dearth of mental health specialists, collaborative care models have the potential to combat the double burden of chronic NCDs and mental health conditions.

Interestingly, during the COVID-19 pandemic, mental health conditions, including PTSD, were exacerbated globally as a result of stressors like fear of infection, food unavailability, income loss and social distancing measures, particularly for people in the lower-income group (Buttell and Ferreira, Reference Buttell and Ferreira2020; Agüero, Reference Agüero2021; Zhu et al., Reference Zhu, Niu, Freudenheim, Zhang, Lei, Homish, Cao, Zorich, Yue, Liu and Mu2021; Langhinrichsen-Rohling et al., Reference Langhinrichsen-Rohling, Schroeder, Langhinrichsen-Rohling, Mennicke, Harris, Sullivan, Gray and Cramer2022). These challenges also increased the incidence of IPV during the pandemic (Buttell and Ferreira, Reference Buttell and Ferreira2020; John et al., Reference John, Casey, Carino and McGovern2020; Agüero, Reference Agüero2021; Zhu et al., Reference Zhu, Niu, Freudenheim, Zhang, Lei, Homish, Cao, Zorich, Yue, Liu and Mu2021; Lyons and Brewer, Reference Lyons and Brewer2022; Affairs UDoV PTSD, 2024). Evidence supports an association between pandemic-related worry and PTSD due to recurring negative thoughts and helplessness in a compromised situation (Jones and Gwenin, Reference Jones and Gwenin2021; Zhu et al., Reference Zhu, Niu, Freudenheim, Zhang, Lei, Homish, Cao, Zorich, Yue, Liu and Mu2021; Lyons and Brewer, Reference Lyons and Brewer2022). Furthermore, worrying about COVID-19 may lead to insomnia (Koly et al., Reference Koly, Khanam, Islam, Mahmood, Hanifi, Reidpath, Khatun and Rasheed2021; Lyons and Brewer, Reference Lyons and Brewer2022). According to DSM-5, insomnia is one of the predisposing, precipitating and perpetuating factors of PTSD (Besedovsky et al., Reference Besedovsky, Lange and Haack2019; Garbarino et al., Reference Garbarino, Lanteri, Bragazzi, Magnavita and Scoditti2021), which could be linked to lower productivity, making the underprivileged women more susceptible to health conditions and related traumatic experiences (Besedovsky et al., Reference Besedovsky, Lange and Haack2019; Garbarino et al., Reference Garbarino, Lanteri, Bragazzi, Magnavita and Scoditti2021). This is consistent with our findings that women worrying about COVID-19 infection were about 3.87 times more likely to be displaying symptoms of PTSD.

Our study also reported that women who had increased arguments with their husbands during the pandemic were three times more likely to display PTSD symptoms than those who had their usual arguments with their partners. Several studies showed an increase in conflict between partners during a health emergency, which could lead to IPV and was further linked to economic insecurities and difficulties in accessing basic needs and social support (Langhinrichsen-Rohling et al., Reference Langhinrichsen-Rohling, Schroeder, Langhinrichsen-Rohling, Mennicke, Harris, Sullivan, Gray and Cramer2022; Ozad et al., Reference Ozad, Jamo and Uygarer2022). Increased arguments between spouses may add to stress, sleep difficulties and loneliness, leading to the development of PTSD symptoms (Langhinrichsen-Rohling et al., Reference Langhinrichsen-Rohling, Schroeder, Langhinrichsen-Rohling, Mennicke, Harris, Sullivan, Gray and Cramer2022; Ozad et al., Reference Ozad, Jamo and Uygarer2022).

This study highlights the syndemicity of PTSD and IPV among Bangladeshi urban women from low-income settings. The vulnerability of these women to IPV interplayed with the poor health and environmental conditions of slums and pandemic-related issues, triggering the symptoms of PTSD and exposure to IPV. To prevent IPV-related PTSD, policymakers should prioritise screening services for IPV and mental health conditions in primary health care facilities, along with relevant psychosocial support for the survivors, which was found promising elsewhere (Iskandar et al., Reference Iskandar, Braun and Katz2014). These findings have the potential to inform the development of policies to train the lay health workforce in addressing IPV-related mental health impacts, and to make necessary amendments and implement related laws. Additionally, they can help increase community-based awareness activities in low-income areas, such as slums.

Furthermore, it can inform our understanding of factors associated with PTSD in women exposed to IPV, as well as the impact of the slum environment on the mental health of residents, helping formulate appropriate strategies to prevent IPV and other traumatic experiences in such marginalised groups. Based on our findings, it is also crucial to understand the factors that lead to spousal arguments and implement community-based interventions that involve both males and females to raise awareness of IPV and its negative impacts. Local authorities and policymakers can mitigate interspousal conflicts during health crises by promoting resilience and coping mechanisms through awareness campaigns, particularly those tailored to slum communities. Despite strong associations found in past studies of factors like occupational status and substance use, these were not significant contributors to PTSD in our sample population (Carbone et al., Reference Carbone, Holzer and Vaughn2019; Radcliffe et al., Reference Radcliffe, Gadd, Henderson, Love, Stephens-Lewis, Johnson, Gilchrist and Gilchrist2021), which could be due to multiple factors, such as participants possibly sharing more socially acceptable answers rather than accurate descriptions, leading to reporting bias. Since this study examined a socially stigmatised topic among a vulnerable population, it may have contributed to social desirability bias. Considering that this was a cross-sectional study, we cannot make causal inferences. The small sample size may not have been sufficient to detect a difference between the two groups, limiting generalisability to all Dhaka slums.

Additionally, as both IPV and PTSD are highly sensitive topics in the Bangladeshi socio-cultural context, there is a possibility of reporting bias. Participants may have under-reported their experiences of violence or psychological symptoms due to fear, stigma or social desirability, which could have led to underestimation of the true prevalence. Future studies should employ a larger sample size and select participants from women who have already been medically screened for IPV to reduce social desirability and subjective bias.

Despite these limitations, our study has some significant strengths. To the best of our knowledge, this study generated baseline evidence of PTSD and its determinants in women living in slums who experienced IPV in Bangladesh and expanded the scarce body of literature related to IPV and mental health conditions. In particular, the study engaged a hard-to-reach population, ensuring that their risks and challenges were represented in research. Drawing attention to the high prevalence of PTSD among IPV victim-survivors, and the potential association can support policymakers to endorse related interventions for this marginalised population. Findings further indicated the need to conduct large-scale studies to identify risk factors of PTSD in women with a history of IPV in Bangladesh. Since the population is part of a surveillance system, interventional studies can be conducted to explore the behavioural changes of this population. Finally, this study can serve as a reference for devising strategies and policies to improve the living conditions and mental health of slum dwellers.

Conclusion

The study is the first of its kind to be based on a marginalised population of Bangladesh that aimed to identify associated factors of PTSD in IPV-exposed women. The study recommends systematic early PTSD screening, which might facilitate the detection of those who need urgent and continuous support. Findings could guide policymakers in achieving Sustainable Development Goal 3 by reforming the existing urban healthcare system to include mental health support, thereby promoting the well-being of vulnerable groups in Bangladesh.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/gmh.2025.10092.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/gmh.2025.10092.

Data availability statement

The full data for this study are not available in a public repository due to ethical restrictions. Also, it is not permissible under the Institutional Review Board of icddr,b to share data in public repositories, as this could result in a serious breach of the ethical rights of the study participants. During the consenting process, the participants were informed that their data would be managed only by the research team, stored in a secure place accessible only to the research team and destroyed after publication. We ensured participants about the confidentiality and protection of their personal information. Therefore, any requests regarding data availability can be sent to M. A. Salam Khan, Institutional Review Board (IRB) Coordinator of icddr,b (Address: IRB Secretariat, Research Administration, icddr,b, Mohakhali, Dhaka-1212).

Acknowledgements

The authors would like to express their deepest gratitude to all respondents who participated in this study. The authors would like to give special thanks to Dr. Sabrina Rasheed, Scientist at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), for her valuable insights while conceptualising this project. icddr,b is grateful to the Governments of Bangladesh and Canada for providing core/unrestricted support.

Author contribution

K.N.K. and J.S. conceptualised the study. K.N.K. and J.S. designed the study. K.N.K. and M.A.B. led the recruitment and formal analysis. S.S., M.K.M., J.S. and M.A.B. prepared the manuscript, and K.N.K. supervised the study, analysis and writing process. The draft manuscript was reviewed and edited by K.N.K., J.W. and B.B.N. All authors contributed to the intellectual content of the manuscript and read and approved the final version of the manuscript.

Financial support

This project is funded and supported by the Mujib 100 Research Grants for Women (Mujib 100 RGfW) by icddr,b.

Competing interests

The authors declare none.

Patient and public involvement

Patients and/or the public were involved in the design or conduct or reporting, or dissemination plans of this research. Refer to the Methods section for further details.

Patient consent for publication

Consent obtained directly from patient(s).

Ethics approval

Both the Research Review Committee (RRC) and Ethics Review Committee (ERC) of the Institutional Review Board (IRB) of the icddr,b approved this study [PR-22001].

Provenance and peer review

Not commissioned; externally peer reviewed.

References

Abir, T, Kalimullah, NA, Osuagwu, UL, Yazdani, DMNA, Husain, T, Goson, PC, Basak, P, Rahman, MA, Al Mamun, A and Permarupan, PY (2021) Prevalence and factors associated with mental health impact of COVID-19 pandemic in Bangladesh: A survey-based cross-sectional study. Annals of Global Health 87(1), 123. https://doi.org/10.5334/aogh.3269.Google Scholar
Adams, AM, Islam, R and Ahmed, T (2015) Who serves the urban poor? A geospatial and descriptive analysis of health services in slum settlements in Dhaka, Bangladesh. Health Policy and Planning 30(suppl_1), i32i45.Google Scholar
Affairs UDoV PTSD (2024) National Center for PTSD. Available at https://www.ptsd.va.gov/covid/COVID_effects_ptsd.asp (accessed 9 May 2024).Google Scholar
Afsana, K and Wahid, SS (2013) Health care for poor people in the urban slums of Bangladesh. The Lancet 382(9910), 20492051. https://doi.org/10.1016/S0140-6736(13)62295-3.Google Scholar
Agarwal, V, Jain, S, Garg, S, Singh, G and Mittal, C (2020) Mental health in relation to autonomy amongst women of reproductive age in slums of Meerut. International Journal of Scientific Research 9(6). https://doi.org/10.36106/ijsr.Google Scholar
Agüero, JM (2021) COVID-19 and the rise of intimate partner violence. World Development 137, 105217.Google Scholar
Ahamad, R (2020) Slum people in Bangladesh capital in a fix as NGOs suspend health services New Age Bangladesh. Available at https://www.newagebd.net/article/104081/slum-people-in-bangladesh-capital-in-a-fix-as-ngos-suspend-health-services.Google Scholar
Al Helal, MA, Islam, S and Rahman, MM (2017) Slum women and their socio-economic characteristics: A study in Dhaka city. International Journal of Humanities and Social Science 12(3), 115.Google Scholar
Amjad, K (2019) Mental stress of climate migrant’s poor women living in slums of Dhaka city. International Journal of Multidisciplinary Research and Development 6(8), 131138. https://doi.org/10.22271/IJMRD.Google Scholar
Besedovsky, L, Lange, T and Haack, M (2019) The sleep-immune crosstalk in health and disease. Physiological Reviews 99(3), 13251380. https://doi.org/10.1152/physrev.00010.2018.Google Scholar
Bradbury-Jones, C and Isham, L (2020) The pandemic paradox: The consequences of COVID-19 on domestic violence. Journal of Clinical Nursing 29(13–14), 2047.Google Scholar
Brewin, CR, Andrews, B and Valentine, JD (2000) Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. Journal of Consulting and Clinical Psychology 68(5), 748766. https://doi.org/10.1037/0022-006X.68.5.748.Google Scholar
Bursac, Z, Gauss, CH, Williams, DK and Hosmer, DW (2008) Purposeful selection of variables in logistic regression. Source Code for Biology and Medicine 3(1), 17. https://doi.org/10.1186/1751-0473-3-17.Google Scholar
Buttell, F and Ferreira, RJ (2020) The hidden disaster of COVID-19: Intimate partner violence. Psychological Trauma: Theory, Research, Practice, and Policy 12(S1), S197.Google Scholar
Carbone, JT, Holzer, KJ and Vaughn, MG (2019) Posttraumatic stress disorder among low-income adolescents experiencing family–neighborhood income disparities. Journal of Traumatic Stress 32(6), 899907. https://doi.org/10.1002/jts.22452.Google Scholar
Chen, P and Harris, KM (2019) Association of positive family relationships with mental health trajectories from adolescence to midlife. JAMA Pediatrics 173(12), e193336. https://doi.org/10.1001/jamapediatrics.2019.3336.Google Scholar
Chien, L-C, Fitch, TJ, Yu, X, Karim, MM and Alamgir, H (2018) PTSD among working women in a developing country. Research Briefs 5. https://oasis.library.unlv.edu/wrin_briefs/5/Google Scholar
Chowdhury, MAK, Rahman, AE, Morium, S, Hasan, MM, Bhuiyan, A and Arifeen, SE (2018) Domestic violence against women in urban slums of Bangladesh: A cross-sectional survey. Journal of Interpersonal Violence 36(9–10), NP4728NP4742. https://doi.org/10.1177/0886260518791235.Google Scholar
Dai, X, Chu, X, Qi, G, Yuan, P, Zhou, Y, Xiang, H and Shi, X (2023) Worldwide perinatal intimate partner violence prevalence and risk factors for post-traumatic stress disorder in women: A systematic review and meta-analysis. Trauma, Violence, & Abuse 25(3), 23632376. https://doi.org/10.1177/1524838023121195015248380231211950.Google Scholar
De, PK and Murshid, NS (2018) Associations of intimate partner violence with screening for mental health disorders among women in urban Bangladesh. International Journal of Public Health 63(8), 913921. https://doi.org/10.1007/s00038-018-1139-x.Google Scholar
DSM (1994) Diagnostic and Statistical Manual of Mental Disorders-IV. Washington, DC: American Psychiatric Association.Google Scholar
Dutton, DG (1995) Trauma symptoms and PTSD-like profiles in perpetrators of intimate abuse. Journal of Traumatic Stress 8(2), 299316.Google Scholar
Ellsberg, M and Emmelin, M (2014) Intimate partner violence and mental health. Global Health Action 7(1), 25658. https://doi.org/10.3402/gha.v7.25658.Google Scholar
Esie, P, Osypuk, TL, Schuler, SR and Bates, LM (2019) Intimate partner violence and depression in rural Bangladesh: Accounting for violence severity in a high prevalence setting. SSM - Population Health 7, 100368. https://doi.org/10.1016/j.ssmph.2019.100368.Google Scholar
Fatemeh, A, Fatemeh, AR, Parisa, S, Fatemeh, A and Zohreh, M (2021) Social determinants of mental health of women living in slum: A systematic review. Obstetrics & Gynecology Science 64(2), 143155. https://doi.org/10.5468/ogs.20264.Google Scholar
Fernández-Fillol, C, Pitsiakou, C, Perez-Garcia, M, Teva, I and Hidalgo-Ruzzante, N (2021) Complex PTSD in survivors of intimate partner violence: Risk factors related to symptoms and diagnoses. European Journal of Psychotraumatology 12(1), 2003616.Google Scholar
Folayan, MO, Ibigbami, O, ElTantawi, M, Abeldaño, GF, Ara, E, Ayanore, MA, Ellakany, P, Gaffar, B, Al-Khanati, NM, Idigbe, I, Ishabiyi, AO, Jafer, M, Khan, AT, Khalid, Z, Lawal, FB, Lusher, J, Nzimande, NP, Osamika, BE, Popoola, BO, Quadri, MFA, Roque, M, Shamala, A, Al-Tammemi, AB, Yousaf, MA, Virtanen, JI, Zuñiga, RAA, Okeibunor, JC and Nguyen, AL (2022) Factors associated with COVID-19 pandemic induced post-traumatic stress symptoms among adults living with and without HIV in Nigeria: A cross-sectional study. BMC Psychiatry 22(1), 48. https://doi.org/10.1186/s12888-021-03617-0.Google Scholar
Garbarino, S, Lanteri, P, Bragazzi, NL, Magnavita, N and Scoditti, E (2021) Role of sleep deprivation in immune-related disease risk and outcomes. Communications Biology 4(1), 1304. https://doi.org/10.1038/s42003-021-02825-4.Google Scholar
Gautam, S and H-S, J (2019) Intimate partner violence in relation to husband characteristics and women empowerment: Evidence from Nepal. International Journal of Environmental Research and Public Health 16(5), 709.Google Scholar
Gunarathne, L, Bhowmik, J, Apputhurai, P and Nedeljkovic, M (2023) Factors and consequences associated with intimate partner violence against women in low- and middle-income countries: A systematic review. PLoS One 18(11), e0293295. https://doi.org/10.1371/journal.pone.0293295.Google Scholar
Hasan, MT, Anwar, T, Christopher, E, Hossain, S, Hossain, MM, Koly, KN, Saif-Ur-Rahman, K, Ahmed, HU, Arman, N and Hossain, SW (2021) The current state of mental healthcare in Bangladesh: Part 1–an updated country profile. BJPsych International 18(4), 78–82. doi:10.1192/bji.2021.41.Google Scholar
Iskandar, L, Braun, K and Katz, A (2014) Testing the woman abuse screening tool to identify intimate partner violence in Indonesia. Journal of Interpersonal Violence 30. https://doi.org/10.1177/0886260514539844.Google Scholar
Islam, MJ, Broidy, L, Baird, K and Mazerolle, P (2017) Intimate partner violence around the time of pregnancy and postpartum depression: The experience of women of Bangladesh. PLoS One 12(5), e0176211. https://doi.org/10.1371/journal.pone.0176211.Google Scholar
Islam, MS, Ferdous, MZ, Sujan, MSH, Tasnim, R, Masud, JHB, Kundu, S, Mosaddek, ASM, Choudhuri, MSK, Kira, IA and Gozal, D (2022) The psychometric properties of the Bangla posttraumatic stress disorder checklist for DSM-5 (PCL-5): Preliminary reports from a large-scale validation study. BMC Psychiatry 22(1), 280. https://doi.org/10.1186/s12888-022-03920-4.Google Scholar
Islam, MS, Rahman, ME, Banik, R, Emran, MGI, Saiara, N, Hossain, S, Hasan, MT, Sikder, MT, Smith, L and Potenza, MN (2021) Financial and mental health concerns of impoverished urban-dwelling Bangladeshi people during COVID-19. Frontiers in Psychology 12, 663687. https://doi.org/10.3389/fpsyg.2021.663687.Google Scholar
Jain, KM, Davey-Rothwell, M, Crossnohere, NL and Latkin, CA (2018) Post-traumatic stress disorder, neighborhood residency and satisfaction, and social network characteristics among underserved women in Baltimore, Maryland. Women’s Health Issues 28(3), 273280.Google Scholar
John, N, Casey, SE, Carino, G and McGovern, T (2020) Lessons never learned: Crisis and gender-based violence. Developing World Bioethics 20(2), 6568.Google Scholar
Jones, C and Gwenin, C (2021) Cortisol level dysregulation and its prevalence-is it nature’s alarm clock? Physiological Reports 8(24), e14644. https://doi.org/10.14814/phy2.14644.Google Scholar
Kemp, A, Rawlings, EI and Green, BL (1991) Post-traumatic stress disorder (PTSD) in battered women: A shelter sample. Journal of Traumatic Stress 4(1), 137148.Google Scholar
Koly, KN, Islam, MS, Reidpath, DD, Saba, J, Shafique, S, Chowdhury, M and Begum, F (2021a) Health-related quality of life among rural-urban migrants living in Dhaka slums: A cross-sectional survey in Bangladesh. International Journal of Environmental Research and Public Health 18(19), 10507.Google Scholar
Koly, KN, Khanam, MI, Islam, MS, Mahmood, SS, Hanifi, SMA, Reidpath, DD, Khatun, F and Rasheed, S (2021b) Anxiety and insomnia among urban slum dwellers in Bangladesh: The role of COVID-19 and its associated factors. Frontiers in Psychiatry 12. https://doi.org/10.3389/fpsyt.2021.769048.Google Scholar
Koly, KN, Tasnim, Z, Ahmed, S, Saba, J, Mahmood, R, Farin, FT, Choudhury, S, Ashraf, MN, Hasan, MT, Oloniniyi, I, Modasser, RB and Reidpath, DD (2022) Mental healthcare-seeking behavior of women in Bangladesh: Content analysis of a social media platform. BMC Psychiatry 22(1), 797. https://doi.org/10.1186/s12888-022-04414-z.Google Scholar
Langhinrichsen-Rohling, J, Schroeder, GE, Langhinrichsen-Rohling, RA, Mennicke, A, Harris, Y-J, Sullivan, S, Gray, G and Cramer, RJ (2022) Couple conflict and intimate partner violence during the early lockdown of the pandemic: The good, the bad, or is it just the same in a North Carolina, low-resource population? International Journal of Environmental Research and Public Health 19(5). https://doi.org/10.3390/ijerph19052608.Google Scholar
Lyons, M and Brewer, G (2022) Experiences of intimate partner violence during lockdown and the COVID-19 pandemic. Journal of Family Violence 37(6), 969977. https://doi.org/10.1007/s10896-021-00260-x.Google Scholar
Maercker, A and Müller, J (2004) Social acknowledgment as a victim or survivor: A scale to measure a recovery factor of PTSD. Journal of Traumaic Stress 17(4), 345351. https://doi.org/10.1023/B:JOTS.0000038484.15488.3d.Google Scholar
Mannan, MA (2013) Access to public health facilities in Bangladesh: A study on facility utilisation and burden of treatment. The Bangladesh Development Studies 36(4), 2580.Google Scholar
Mazza, M, Marano, G, Lai, C, Janiri, L and Sani, G (2020) Danger in danger: Interpersonal violence during COVID-19 quarantine. Psychiatry Research 289, 113046.Google Scholar
Miethe, S, Wigger, J, Wartemann, A, Fuchs, FO and Trautmann, S (2023) Posttraumatic stress symptoms and its association with rumination, thought suppression and experiential avoidance: A systematic review and meta-analysis. Journal of Psychopathology and Behavioral Assessment 45(2), 480495. https://doi.org/10.1007/s10862-023-10022-2.Google Scholar
Miller, E, Decker, MR, Raj, A, Reed, E, Marable, D and Silverman, JG (2010) Intimate partner violence and health care-seeking patterns among female users of urban adolescent clinics. Maternal and Child Health Journal 14(6), 910917. https://doi.org/10.1007/s10995-009-0520-z.Google Scholar
Mulugeta, W, Xue, H, Glick, M, Min, J, Noe, MF and Wang, Y (2019) Burden of mental illness and non-communicable diseases and risk factors for mental illness among refugees in Buffalo, NY, 2004–2014. Journal of Racial and Ethnic Health Disparities 6, 5663.Google Scholar
Nasreen, HE, Kabir, ZN, Forsell, Y and Edhborg, M (2011) Prevalence and associated factors of depressive and anxiety symptoms during pregnancy: A population based study in rural Bangladesh. BMC Women’s Health 11(1), 22. https://doi.org/10.1186/1472-6874-11-22.Google Scholar
Nathanson, AM, Shorey, RC, Tirone, V and Rhatigan, DL (2012) The prevalence of mental health disorders in a community sample of female victims of intimate partner violence. Partner Abuse 3(1), 5975.Google Scholar
Naved, RT, Mamun, MA, Mourin, SA and Parvin, K (2018) A cluster randomized controlled trial to assess the impact of SAFE on spousal violence against women and girls in slums of Dhaka, Bangladesh. PLoS One 13(6), e0198926.Google Scholar
Naved, RT and Persson, (2005) Factors associated with spousal physical violence against women in Bangladesh. Studies in Family Planning 36(4), 289300.Google Scholar
Nuri, NN, Sarker, M, Ahmed, HU, Hossain, MD, Beiersmann, C and Jahn, A (2018) Pathways to care of patients with mental health problems in Bangladesh. International Journal of Mental Health Systems 12(1), 112.Google Scholar
Ozad, B, Jamo, M and Uygarer, G (2022) COVID-19 restrictions, lifestyles, and marital conflicts: An empirical analysis of marital sustainability. Sustainability 14, 11249. https://doi.org/10.3390/su141811249.Google Scholar
Padmanabhanunni, A and Pretorius, TB (2024) Fear of COVID-19 and PTSD: The protective function of problem-solving appraisals in mental health. International Journal of Environmental Research and Public Health 21(2). https://doi.org/10.3390/ijerph21020220.Google Scholar
Palinkas, LA, Horwitz, SM, Green, CA, Wisdom, JP, Duan, N and Hoagwood, K (2015) Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research 42(5), 533544.Google Scholar
Parvin, K, Mamun, MA, Gibbs, A, Jewkes, R and Naved, RT (2018) The pathways between female garment workers’ experience of violence and development of depressive symptoms. PLoS One 13(11), e0207485.Google Scholar
Parvin, K, Sultana, N and Naved, RT (2016) Disclosure and help seeking behavior of women exposed to physical spousal violence in Dhaka slums. BMC Public Health 16, 18.Google Scholar
Pico-Alfonso, MA (2005) Psychological intimate partner violence: The major predictor of posttraumatic stress disorder in abused women. Neuroscience & Biobehavioral Reviews 29(1), 181193. https://doi.org/10.1016/j.neubiorev.2004.08.010.Google Scholar
Radcliffe, P, Gadd, D, Henderson, J, Love, B, Stephens-Lewis, D, Johnson, A, Gilchrist, E and Gilchrist, G (2021) What role does substance use play in intimate partner violence? A narrative analysis of in-depth interviews with men in substance use treatment and their current or former female partner. Journal of Interpersonal Violence 36(21–22), 1028510313. https://doi.org/10.1177/0886260519879259.Google Scholar
Ralli, M, Urbano, S, Gobbi, E, Shkodina, N, Mariani, S, Morrone, A, Arcangeli, A and Ercoli, L (2021) Health and social inequalities in women living in disadvantaged conditions: A focus on gynecologic and obstetric health and intimate partner violence. Health Equity 5(1), 408413. https://doi.org/10.1089/heq.2020.0133.Google Scholar
Rashid Soron, T, Ashiq, MAR, Al-Hakeem, M, Chowdhury, ZF, Uddin Ahmed, H and Afrooz Chowdhury, C (2021) Domestic violence and mental health during the COVID-19 pandemic in Bangladesh. JMIR Formative Research 5(9), e24624. https://doi.org/10.2196/24624.Google Scholar
Razzaque, A, Chowdhury, MR, Mustafa, AHMG, Mahmood, SS, Iqbal, M, Hanifi, SMA, Islam, MZ, Chin, B, Adams, AM, Bhuiya, A and Reidpath, DD (2023) Cohort profile: Urban health and demographic surveillance system in slums of Dhaka (north and south) and Gazipur City corporations, Bangladesh. International Journal of Epidemiology 52(5), e283e291. https://doi.org/10.1093/ije/dyad080.Google Scholar
Sambisa, W, Angeles, G, Lance, PM, Naved, RT and Curtis, SL (2010) Physical and sexual abuse of wives in urban Bangladesh: Husbands’ reports. Studies in Family Planning 41(3), 165178.Google Scholar
Sambisa, W, Angeles, G, Lance, PM, Naved, RT and Thornton, J (2011) Prevalence and correlates of physical spousal violence against women in slum and nonslum areas of urban Bangladesh. Journal of Interpersonal Violence 26(13), 25922618.Google Scholar
Sardinha, L, Maheu-Giroux, M, Stöckl, H, Meyer, SR and García-Moreno, C (2022) Global, regional, and national prevalence estimates of physical or sexual, or both, intimate partner violence against women in 2018. The Lancet 399(10327), 803813. https://doi.org/10.1016/S0140-6736(21)02664-7.Google Scholar
Saud, M, Ashfaq, A and Mas’ udah, S (2021) Women’s attitudes towards wife beating and its connection with lntimate partner violence (lPV): An empirical analysis of a National Demographic and health survey conducted in Pakistan. Journal of lnternational Women’s Studies 22(5), 149160.Google Scholar
Sekoni, O, Mall, S and Christofides, N (2021) Prevalence and factors associated with PTSD among female urban slum dwellers in Ibadan, Nigeria: A cross-sectional study. BMC Public Health 21(1), 1546. https://doi.org/10.1186/s12889-021-11508-y.Google Scholar
Sharma, V, Amobi, A, Tewolde, S, Deyessa, N and Scott, J (2020) Displacement-related factors influencing marital practices and associated intimate partner violence risk among Somali refugees in Dollo ado, Ethiopia: A qualitative study. Conflict and Health 14, 115. https://doi.org/10.1186/s13031-020-00267-z.Google Scholar
Sharmin, S and Luna, F (2015) The socio-economic condition of female slum dwellers: A study on slums in Dhaka. IOSR Journal of Humanities And Social Science (IOSR - JHSS) 20, 26. https://doi.org/10.9790/0837-20352632.Google Scholar
Silva, C, McFarlane, J, Soeken, K, Parker, B and Reel, S (1997) Symptoms of post-traumatic stress disorder in abused women in a primary care setting. Journal of Women’s Health 6(5), 543552.Google Scholar
Stake, S, Ahmed, S, Tol, W, Ahmed, S, Begum, N, Khanam, R, Harrison, M and Baqui, AH (2020) Prevalence, associated factors, and disclosure of intimate partner violence among mothers in rural Bangladesh. Journal of Health, Population and Nutrition 39, 111.Google Scholar
Stein, DJ, Benjet, C, Gureje, O, Lund, C, Scott, KM, Poznyak, V and van Ommeren, M (2019) Integrating mental health with other non-communicable diseases. BMJ 364, l295. https://doi.org/10.1136/bmj.l295.Google Scholar
Sujan, MSH, Tasnim, R, Haghighathoseini, A, Hasan, MM and Islam, MS (2023) Investigating posttraumatic stress disorder among COVID-19 recovered patients: A cross-sectional study. Heliyon 9(3), e14499. https://doi.org/10.1016/j.heliyon.2023.e14499.Google Scholar
Tasnim, F, Abedin, S and Rahman, MM (2023) Mediating role of perceived stress on the association between domestic violence and postpartum depression: Cross-sectional study in Bangladesh. BJPsych Open 9(1), e16. https://doi.org/10.1192/bjo.2022.633.Google Scholar
Thibaut, F and van Wijngaarden C, PJM (2020) Women’s mental health in the time of Covid-19 pandemic. Frontiers in Global Women’s Health 1, 588372.Google Scholar
Uzoho, IC, Baptiste-Roberts, K, Animasahun, A and Bronner, Y (2023) The impact of COVID-19 pandemic on intimate partner violence (IPV) against women. International Journal of Social Determinants of Health and Health Services 53(4), 494507. https://doi.org/10.1177/27551938231185968.Google Scholar
Vilaplana-Pérez, A, Sidorchuk, A, Pérez-Vigil, A, Brander, G, Isoumura, K, Hesselmark, E, Sevilla-Cermeño, L, Valdimarsdóttir, UA, Song, H, Jangmo, A, Kuja-Halkola, R, D’Onofrio, BM, Larsson, H, Garcia-Soriano, G, Mataix-Cols, D and Fernández de la Cruz, L (2020) Assessment of posttraumatic stress disorder and educational achievement in Sweden. JAMA Network Open 3(12), e2028477. https://doi.org/10.1001/jamanetworkopen.2020.28477.Google Scholar
Wake, AD and Kandula, UR (2022) The global prevalence and its associated factors toward domestic violence against women and children during COVID-19 pandemic—“the shadow pandemic”: A review of cross-sectional studies. Women’s Health 18, 17455057221095536. https://doi.org/10.1177/17455057221095536.Google Scholar
White, SJ, Sin, J, Sweeney, A, Salisbury, T, Wahlich, C, Montesinos Guevara, CM, Gillard, S, Brett, E, Allwright, L, Iqbal, N, Khan, A, Perot, C, Marks, J and Mantovani, N (2024) Global prevalence and mental health outcomes of intimate partner violence among women: A systematic review and meta-analysis. Trauma Violence Abuse 25(1), 494511. https://doi.org/10.1177/15248380231155529.Google Scholar
Whittle, HJ, Sheira, LA, Wolfe, WR, Frongillo, EA, Palar, K, Merenstein, D, Wilson, TE, Adedimeji, A, Weber, KM, Adimora, AA, Ofotokun, I, Metsch, L, Turan, JM, Wentz, EL, Tien, PC and Weiser, SD (2019) Food insecurity is associated with anxiety, stress, and symptoms of posttraumatic stress disorder in a cohort of women with or at risk of HIV in the United States. Journal of Nutrition 149(8), 13931403. https://doi.org/10.1093/jn/nxz093.Google Scholar
WHO (2005) WHO Multi-Country Study on Women’s Health and Domestic Violence against Women: Initial Results on Prevalence, Health Outcomes and Women’s Responses. Geneva, Switzerland: World Health Organization.Google Scholar
WHO (2024) Violence against women. Available at https://www.who.int/news-room/fact-sheets/detail/violence-against-women (accessed 7 May 2024).Google Scholar
Woods, SJ, Hall, RJ, Campbell, JC and Angott, DM (2008) Physical health and posttraumatic stress disorder symptoms in women experiencing intimate partner violence. Journal of Midwifery & Women’s Health 53(6), 538546. https://doi.org/10.1016/j.jmwh.2008.07.004.Google Scholar
Yunitri, N, Chu, H, Kang, XL, Jen, H-J, Pien, L-C, Tsai, H-T, Kamil, AR and Chou, K-R (2022) Global prevalence and associated risk factors of posttraumatic stress disorder during COVID-19 pandemic: A meta-analysis. International Journal of Nursing Studies 126, 104136.Google Scholar
Zhu, K, Niu, Z, Freudenheim, JL, Zhang, Z-F, Lei, L, Homish, GG, Cao, Y, Zorich, SC, Yue, Y, Liu, R and Mu, L (2021) COVID-19 related symptoms of anxiety, depression, and PTSD among US adults. Psychiatry Research 301, 113959. https://doi.org/10.1016/j.psychres.2021.113959.Google Scholar
Ziaei, S, Frith, AL, E-C, E and Naved, RT (2016) Experiencing lifetime domestic violence: Associations with mental health and stress among pregnant women in rural Bangladesh: The MINIMat randomized trial. PLoS One 11(12), e0168103. https://doi.org/10.1371/journal.pone.0168103.Google Scholar
Figure 0

Table 1. Participants characteristics

Figure 1

Figure 1. Prevalence of PTSD by IPV exposure status among women in urban slums. PTSD prevalence was 9.57% among women without IPV exposure, 21.16% among women exposed to any form of IPV and 25.74% among those exposed to all forms of IPV. Error bars represent 95% confidence intervals.

Figure 2

Table 2. Associated factors of PTSD among the women exposed to intimate partner violence (IPV) using the bivariate logistic regression

Figure 3

Table 3. Associated factors of PTSD among the women exposed to IPV using the multivariate logistic regression (n = 290)

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Author comment: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R0/PR1

Comments

26 July 2025

Professor Dixon Chibanda, Professor Judy Bass

Co-Editors-in-Chief

Cambridge Prisms: Global Mental Health

RE: Submission of “Prevalence of post-traumatic stress disorder and its associated factors among women experiencing intimate partner violence (IPV): Experience from urban slums of Bangladesh”

Dear Editor-in-Chief,

I am pleased to submit an original research article entitled “Prevalence of post-traumatic stress disorder and its associated factors among women experiencing intimate partner violence (IPV): Experience from urban slums of Bangladesh” for consideration for publication in “Cambridge Prisms: Global Mental Health.

This study explores the prevalence and determinants of post-traumatic stress disorder (PTSD) among women residing in urban slums of Bangladesh who experienced intimate partner violence (IPV) during the COVID-19 pandemic. Our findings highlight a significant mental health burden among marginalized women, emphasizing the urgent need for community-based mental health interventions in low-resource settings.

We believe this manuscript aligns with the journal’s focus on advancing global mental health, particularly in under-researched populations, and contributes valuable evidence to inform mental health policy and service delivery for vulnerable communities.

We confirm that this manuscript has not been published and is not under consideration elsewhere, and we have no conflicts of interest to disclose.

Thank you for considering our work. We look forward to your response.

Dr. Kamrun Nahar Koly

………………………………………………………

Kamrun Nahar Koly

Associate Scientist

Health System and Population Studies Division, icddr,b

MSc. Global Mental Health, London School of Hygiene and Tropical Medicine

Email: koly@icddrb.org

26 July 2025

Professor Dixon Chibanda, Professor Judy Bass

Co-Editors-in-Chief

Cambridge Prisms: Global Mental Health

RE: Submission of “Prevalence of post-traumatic stress disorder and its associated factors among women experiencing intimate partner violence (IPV): Experience from urban slums of Bangladesh”

Dear Editor-in-Chief,

I am pleased to submit an original research article entitled “Prevalence of post-traumatic stress disorder and its associated factors among women experiencing intimate partner violence (IPV): Experience from urban slums of Bangladesh” for consideration for publication in “Cambridge Prisms: Global Mental Health.

This study explores the prevalence and determinants of post-traumatic stress disorder (PTSD) among women residing in urban slums of Bangladesh who experienced intimate partner violence (IPV) during the COVID-19 pandemic. Our findings highlight a significant mental health burden among marginalized women, emphasizing the urgent need for community-based mental health interventions in low-resource settings.

We believe this manuscript aligns with the journal’s focus on advancing global mental health, particularly in under-researched populations, and contributes valuable evidence to inform mental health policy and service delivery for vulnerable communities.

We confirm that this manuscript has not been published and is not under consideration elsewhere, and we have no conflicts of interest to disclose.

Thank you for considering our work. We look forward to your response.

Dr. Kamrun Nahar Koly

………………………………………………………

Kamrun Nahar Koly

Assistant Scientist

Health System and Population Studies Division, icddr,b

Email: koly@icddrb.org

Review: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

Title: In title PTSD can be abbreviated.

Abstract: The Abstract is clear.

Introduction: The Introduction builds a solid background, but some modifications will make the novelty and rationale more prominent and directly link the study to an identifiable evidence gap. To strengthen the research gap related section, I recommend:

• Consider shortening background details to focus on the study gap and rationale.

• Moving this statement earlier in the final paragraph and expanding it to specify that prior Bangladeshi studies on IPV have focused mainly on prevalence, depression, or anxiety, with PTSD largely overlooked.

• Highlighting that there is no evidence on how COVID-19-related stressors interact with IPV to influence PTSD in urban slums, despite these being high-risk environments.

• Explicitly noting the absence of studies using validated PTSD assessment tools (e.g., PCL-5) in this population.

Methods: The methodology is described in detail. However, the explanation of the sample reduction from 405 to 290 IPV-exposed participants should be clarified. Please also clarify that the reported 71.6% IPV prevalence was observed in the recruited HDSS sample and is not a general prevalence estimate for all slum populations, to avoid misinterpretation of representativeness. In the Patient and Public Involvement section, please provide a formal citation to the WHO ethical and safety recommendations for research on violence against women consistent with the referencing style used elsewhere in the manuscript.

Issues with the explanatory variable section include:

• Mixed variable types without grouping – Sociodemographic variables (age, education, working status, early marriage, NCD status, husband’s age, etc.) are listed alongside COVID-19 stress variables, behavioural variables and women independence related, without clear grouping or subheadings, making it hard to see which are demographics, which are COVID-related, and which are IPV-related attitudes/behaviours.

• Inconsistent coding explanation – Some variables have coding explained (e.g., “0=No, 1=Yes”), others do not (e.g., “husband’s age”), and some reference categories are not explicitly stated.

• Crowding index definition placed mid-list – This disrupts flow; consider defining it separately or in the Measures section.

• Additionally, consider defining the Crowding Index separately for clarity. Additionally, please provide a brief justification or methodological reference for using p < 0.15 as the threshold for selecting variables from the bivariate to the multivariate analysis. This will enhance transparency and allow readers to better understand the rationale behind your modelling approach.

Results: The results are clearly presented, but –

• Tables 2 and 3 require consistent p-value formatting and explicit indication of reference categories. Figure 1 could be made more self-explanatory. Figure 1 labels could be made more self-explanatory for readers without referring to the text. Additionally, this figure should identify which part is for IPV-exposed and which part is non-exposed.

• Additionally, there is an inconsistency in how education is described. In the Data Analysis section, it is coded as ‘attended school (0=No, 1=Yes)’, while in Table 2 it is presented as ‘educated’ vs ‘non-educated’. Please ensure terminology is consistent and define the exact criteria used for categorisation.

• For Table 3, please explicitly state in the table legend or footnote which variables were included in the adjustment for the AORs. Currently, readers have to infer from the Methods that the model included age, education, husband’s substance use, and variables with p < 0.15 from the bivariate analysis; listing them directly in the table would improve clarity.

Discussion: The discussion appropriately interprets findings in the context of global literature, but some organisational pattern can be considered that is separating prevalence interpretation, determinants discussion, and policy implications into distinct paragraphs for better flow. Moreover, some sentences imply causality between IPV and PTSD despite the cross-sectional design The statement “Living with an abusive partner can exacerbate trauma, leading to PTSD” is supported by reference, but that study was also observational. As your own study is cross-sectional, it would be more accurate to frame this as “associated with PTSD” or “linked to higher PTSD symptoms,” and attribute the causal phrasing to prior research rather than implying causality from your findings.

Typographical corrections:

• Replace ‘at at’ with ‘at a’ in the Methods section.

• Correct ‘utlised’ to ‘utilised’ in the Study setting description.

• Change ‘husband that often quarrels’ to ‘husband who often quarrels’ for grammatical accuracy.

• Ensure consistent hyphenation for ‘non-exposed’.

• Standardise percentage formatting (e.g., ‘21.2% (n=40)’ rather than ‘21.2 % (n=40)’).

• In the discussion, “slumsFuture” should be corrected to “slums. Future”.

• Review reference formatting for consistency, ensuring all DOIs are preceded by ‘https://doi.org/’.

Review: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

Dear Authors,

Thank you for the opportunity to review this manuscript. The study makes a timely and important contribution by addressing a clear gap in global mental health research: the prevalence and determinants of PTSD among women experiencing intimate partner violence in Dhaka’s urban slums during the COVID-19 pandemic. The manuscript is well-organized, methodologically sound, and provides a comprehensive examination of a highly vulnerable population.

Major Strengths:

1. Relevance and originality – The focus on urban slum women in Bangladesh fills an important evidence gap. This is the first study of its kind in this context, and the findings have practical policy implications.

2. Methodological rigor – The use of a validated Bangla version of PCL-5 and WHO IPV questionnaire adds robustness. Clear inclusion/exclusion criteria and detailed description of ethical safeguards strengthen the credibility of the study.

3. Policy and practice implications – The discussion connects well with the broader literature and highlights how findings could inform community-based interventions and health system responses.

I believe the manuscript is suitable for publication after minor revisions. Below are my detailed comments and suggestions:

Suggestions for Minor Revision

1. Methods: The methods are solid overall. The authors use validated tools (WHO IPV questionnaire, Bangla PCL-5), and the ethical considerations are well thought out, which is critical for such a sensitive topic. The analysis is appropriate, but I’d like a bit more clarification on the sample size issue — they calculated for 405 participants but the analysis included 290 IPV survivors. This doesn’t undermine the study but should be discussed more explicitly as a limitation.

2. Presentation: The paper is generally well written and structured. That said, there are a few areas where clarity could be improved:

- PTSD prevalence is reported slightly differently in places (22.6% vs. 21.2% among survivors), so the numbers should be made consistent.

- Figure 1 is helpful but the labels are a bit confusing (“any form of IPV” vs. “all forms of IPV” could be explained more clearly).

- The discussion is thorough but at times leans heavily on global literature. I’d encourage the authors to balance this with more references from South Asia or LMICs to ground the findings in similar contexts.

- The limitations are covered well, but I’d suggest adding a note about possible reporting bias given the sensitive nature of IPV and PTSD.

- A light language edit would help tidy up some redundancies (e.g., repeated phrasing about “vulnerable populations” in discussion).

Recommendation: Overall, I think this is a strong paper that deserves publication. My recommendation is accept with minor revisions. The revisions are mostly about consistency in reporting, clarifying some details, and improving presentation, not about the core science, which is already solid.

Recommendation: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R0/PR4

Comments

No accompanying comment.

Decision: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R0/PR5

Comments

No accompanying comment.

Author comment: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R1/PR6

Comments

Manuscript ID: GMH-2025-0223

Title: Prevalence of post-traumatic stress disorder and its associated factors among women experiencing intimate partner violence (IPV): Experience from urban slums of Bangladesh

Journal: Cambridge Prisms: Global Mental Health

Dear Editor,

We would like to sincerely thank the Academic Editor and Reviewers for their careful reading of our manuscript and for providing valuable feedback that has significantly improved the quality and clarity of our paper. Below, we offer a detailed point-by-point response to each comment, with a description of the revisions made to all sections. We indicated all the modifications through “track changes” and “highlights”. In the rest of this letter, we have addressed each of the reviewer’s comments point by point. For convenience,

-The comments of each reviewer have been formatted into bold style

-The responses of authors have been formatted into a regular style

-Any direct phrase or statement quoted from the manuscript has been formatted into Italics.

We found the reviewers’ comments incredibly valuable and highly appreciate their feedback on our original manuscript. After addressing the comments, we believe the manuscript’s quality has improved compared to its previous state.

Regards,

Dr. Kamrun Nahar Koly

Corresponding author

Review: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R1/PR7

Conflict of interest statement

No

Comments

This research article is important to add in literature of mental health research.

Recommendation: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R1/PR8

Comments

No accompanying comment.

Decision: Prevalence and associated factors of post-traumatic stress disorder among women with an experience of intimate partner violence (IPV): Insights from urban slums of Bangladesh — R1/PR9

Comments

No accompanying comment.