Many charities rely on donations to support their work addressing some of the world’s most pressing problems. We conducted a meta-review to determine what interventions work to increase charitable donations. We found 21 systematic reviews incorporating 1339 primary studies and over 2,139,938 participants. Our meta-meta-analysis estimated the average effect of an intervention on charitable donation size and incidence: r = 0.08 (95% CI [0.03, 0.12]). Due to limitations in the included systematic reviews, we are not certain this estimate reflects the true overall effect size. The most robust evidence found suggests charities could increase donations by (1) emphasising individual beneficiaries, (2) increasing the visibility of donations, (3) describing the impact of the donation, and (4) enacting or promoting tax-deductibility of the charity. We make recommendations for improving primary research and reviews about charitable donations, and how to apply the meta-review findings to increase charitable donations.

Individuals with severe mental illness face a significantly reduced life expectancy compared to the general population. Addressing key modifiable risk factors is essential to reduce these alarming rates of mortality in this population. Nutritional psychiatry has emerged as an important field of research, highlighting the important role of nutrition on mental health outcomes. However, individuals with severe mental illness often encounter barriers to healthy eating, including poor diet quality, medication-related side effects such as increased appetite and weight gain, food insecurity, and limited autonomy over food choices.

While nutrition interventions play a key role in improving health outcomes and should be a standard part of care, their implementation remains challenging. Digital technology presents a promising alternative support model, with the potential to address many of the structural and attitudinal barriers experienced by this population. Nonetheless, issues such as digital exclusion and low digital literacy persist. Integrating public and patient involvement, along with behavioural science frameworks, into the design and delivery of digital nutrition interventions can improve their relevance, acceptability, and impact. This review discusses the current and potential role of digital nutrition interventions for individuals with severe mental illness, examining insights, challenges, and future directions to inform research and practice.

Cancer-related fatigue is a common problem among colorectal cancer (CRC) survivors even after completion of treatment. In a randomised trial, we assessed the effect of a person-centred lifestyle programme on cancer-related fatigue among CRC survivors who completed treatment. Survivors who completed treatment at least 6 months but no longer than 5 years ago and who were experiencing cancer-related fatigue were randomised to intervention or control group. The intervention group worked with a lifestyle coach for 6 months during twelve sessions to stepwise increase adherence to the World Cancer Research Fund/American Institute of Cancer Research cancer prevention guidelines on healthy diet and physical activity. The control group did not receive lifestyle coaching. Changes in cancer-related fatigue from baseline to 6 months were assessed with the FACIT (Functional Assessment of Chronic Illness Therapy) – Fatigue Scale. As a secondary outcome, we assessed changes in health-related quality of life (HRQoL). Higher scores indicate less fatigue and better HRQoL. Eighty participants were randomised to the intervention group; eighty-one to the control group. Baseline characteristics were similar: mean age 64·1 (sd 10·9) years; 55·3 % were women; and 72 % had colon cancer. There were favourable changes in dietary behaviours and physical activity in the intervention group; the control group did not show changes to the same extent. The programme did not result in statistically significant differential changes over time between intervention and control group in cancer-related fatigue (0·8; 95 % CI −1·6, 3·2) or HRQoL (1·3; 95 % CI −2·2, 4·8). A person-centred lifestyle programme improved the lifestyle of CRC survivors, but the programme was not effective in reducing cancer-related fatigue or in improving HRQoL.

In different parts of the world the claim is increasingly being made that continuous confinement of pet cats (Felis catus) is beneficial for both wildlife conservation and cat welfare. The first part of the claim is almost incontrovertible, but the second is misleading. The assertion that confined animals have superior welfare is rooted in thinking pre-dating the 1960s that equates welfare with physical health. By contemporary accounts of animal welfare, confinement of animals presents major welfare risks, and this recognition has been a major driver of refinement in livestock industries, e.g. moves towards free-range systems. Yet, these risks have not been widely acknowledged in debates over pet cat management. We argue that the current pervasive rhetoric from conservationists and some regulators that cat confinement is beneficial for wildlife and cats is, at best, confusing health with welfare. At worst, it is a deliberate attempt to mislead the public through portraying a win-win scenario where, instead, a trade-off must be navigated. Failure to recognise this trade-off undermines conservation goals three-fold. First, it limits the efficacy of behaviour change interventions to increase confinement. Second, it erodes public trust in organisations perceived as knowingly misleading the public. Finally, it reduces the incentive to make the one decision yielding long-term benefits for both cats and ecosystems; ceasing to own cats at all. Policy-makers should be wary of the allure of false win-win narratives when tackling contentious issues that require trade-offs to be made.

There is a growing attention towards personalised digital health interventions such as health apps. These often depend on the collection of sensitive personal data, which users generally have limited control over. This work explores perspectives on data sharing and health apps in two different policy contexts, London and Hong Kong. Through this study, our goal is to generate insight about what digital health futures should look like and what needs to be done to achieve them. Using a survey based on a hypothetical health app, we considered a range of behavioural influences on personal health data sharing with the Capability, Opportunity, Motivation model of Behaviour (COM-B) to explore some of the key factors affecting the acceptability of data sharing. Results indicate that willingness to use health apps is influenced by users’ data literacy and control, comfort with sharing health and location data, existing health concerns, access to personalised health advice from a trusted source, and willingness to provide data access to specific parties. Gender is a statistically significant factor, as men are more willing to use health apps. Survey respondents in London are statistically more willing to use health apps than respondents in Hong Kong. Finally, we propose several policy approaches to address these factors, which include the co-creation of standards for using artificial intelligence (AI) to generate health advice, innovating app design and governance models that allow users to carefully control their data, and addressing concerns of gender-specific privacy risks and public trust in institutions dealing with data.

This paper introduces Setting-Driven Design (SDD) and supporting tool – the Behaviour Setting Canvas (BSC) – which together address a critical gap in behavioural design by shifting the focus from individual behaviour to the broader context in which behaviour occurs. Rooted in behaviour setting theory, SDD is a powerful approach to behavioural design that offers an end-to-end structure for understanding and intervening in a behavioural design challenge. The process comprises three iterative phases: scoping the behavioural challenge, understanding the setting and intervention development. The process structure revolves around the BSC, a tool for mapping key contextual elements such as roles, motives, norms and routines. While SDD is particularly effective for behaviour change interventions, its utility extends to other design challenges, including introducing new products, shifting social norms and enhancing existing systems where behaviour remains constant. The approach integrates a theory of change to guide intervention development, prototyping and evaluation, ensuring alignment with behavioural objectives and contextual realities. A case study on handwashing in low-income Tanzanian households illustrates the method’s utility, culminating in the creation of Tab Soap, a single-use, biodegradable soap designed to improve hygiene behaviours. The study demonstrates how SDD facilitates insight generation and iterative refinement and complements user-centred design. SDD advances behavioural design by combining theoretical rigour with practical application, offering a scalable and adaptable framework for addressing complex design challenges across diverse fields.

Overconsumption of unhealthy, discretionary, foods and beverages are associated with an increased risk of weight gain and non-communicable diseases, including diabetes, heart disease, and cancer. This cross-sectional study explored preferences for setting goals to reduce discretionary food and beverage consumption. The online survey included items about discretionary food and beverage intake, goal setting preferences to reduce intake, habit strength, personality traits, and demographic characteristics. A total of 2664 Australian adults completed the survey. The sample was mostly female (65.9%), half (52.8%) were aged between 30–49 years, and the median intake of discretionary food and beverages was 4.9 (IQR: 3.6 to 7.2) serves per day. Multinomial logistic regression and ordinal logistic regression models were used to explore demographic and psychological predictors of the helpfulness of long-term and short-term goals, elimination and gradual goals, specific food goals, specific eating occasion and food goals, self-set goals, collaboratively set goals, and assigned goals. The results showed participants with higher habit strength had greater odds of finding short-term (OR 1.40, 95% CI 1.06–1.86), gradual (OR 1.14, 95% CI 1.01–1.29), specific (OR 1.35, 95% CI 0.84–1.76), assigned (OR 1.38, 95% CI 1.14–1.66) and collaborative goals (OR 1.24, 95% CI 1.01–1.53) helpful. The results also indicated that age and gender were important predictors of goal setting preferences, particularly for long-term goals, elimination goals, broad goals, and collaborative goals. Interventions to reduce discretionary food and beverage intake are needed and consideration of goal setting preferences could be a novel way to developing more tailored and effective dietary interventions.

The COVID-19 pandemic provided a stark reminder that societies will struggle to address global challenges unless they are able to change behaviour at scale. The widely adopted ‘nudge’ approach epitomizes an individualistic, deficit model of human cognition and motivation that leverages or overcomes people’s weaknesses and biases to get them to do things they would otherwise not. By contrast, we argue that tackling the challenges facing humanity requires a collective, capacity-building approach – one that boosts the competences, opportunities, and motivations of individuals to act together.

Littering involves throwing away waste in places not designated for it, harming the environment. This study introduces a strategy to encourage more use of Littergram, an app designed to fight littering. Littergram allows users to photograph litter and share these images publicly, alerting local councils to clean up the waste. The study aimed to increase user engagement with Littergram by implementing an intervention designed using the Behaviour Change Wheel (BCW), a comprehensive framework for developing behaviour change interventions. We developed and applied a digital campaign through emails, following BCW guidelines. The process began with identifying the behaviour we wanted to change. We conducted a survey to understand what influences this behaviour and selected techniques for changing behaviour based on these insights. The campaign involved sending targeted emails to Littergram users. There was an increase in the use of Littergram during the campaign, and growth returned to initial levels after the campaign ended. This outcome shows that the approach can effectively increase engagement temporarily. Future research should focus on challenges in maintaining long-term behaviour change.