Developing Behavior Change Interventions Research Articles

A multi-methods, multi-actor exploration of the benefits and barriers to milk recording on Irish farms using the COM-B model

Milk recording is a critical tool in dairy farming, providing individual cow information. When used effectively, this data contributes to on-farm productivity, herd health management decisions and supports prudent veterinary prescribing of antimicrobials. Although an industry and government priority, uptake has been relatively slow in Ireland. This multi-methods, three-part study aimed to gain a comprehensive understanding of the benefits to farm performance, and factors driving uptake of milk recording on Irish dairy farms. It involved an economic analysis of N=516 farms from 2008–2019, a workshop with N=26 stakeholders and an online survey of N=197 non-milk-recording farmers. Quantitative and qualitative data were analysed using econometric models and thematic analysis respectively. Results were synthesised using the COM-B model to gain a deeper understanding of what drives the target behaviour. The study revealed that agricultural education, farm location, farm specialisation in dairy and membership of a farmer discussion group were the main factors influencing uptake of milk recording. Milk recording was associated with a €39.04/cow increase in gross margin, a 177.58 litres/cow increase in milk yield and a reduction of 13,450 cells/ml in bulk milk tank somatic cell count readings. Infrastructural constraints, cost, lack of benefits and workload were the most reported perceived barriers to milk recording by farmers. The Behaviour Change Wheel illustrates how to utilise findings and systematically develop future interventions to increase milk recording uptake. This study highlights the importance of a multi-methods approach to agricultural technology adoption and the need for evidence-based methodology when developing behaviour change interventions.

Fetal Monitoring mHealth Apps: A Mixed-Methods Study of Users' Perceptions of App Effects [ID: 1377502]

INTRODUCTION: Little is known about users' perceptions of fetal monitoring mHealth apps (FMAs). mHealth guidelines for developing behavior change interventions, like FMAs, recommend consistent evaluation of these apps to examine users' perceptions of app effects and to identify unintended consequences or harms to app users. The objective of this secondary, mixed-methods study was to explore app users' perceptions of the interventions' effects. METHODS: A convenience sample of 806 pregnant individuals aged 18+ who voluntarily downloaded a free, proprietary FMA completed a survey, including open- and closed-ended items in four survey sections: app engagement, perceived efficacy of the app raising awareness of fetal movements, health behaviors and diagnoses, and pregnancy and birth outcomes. We conducted a thematic analysis of the responses of the 299 participants who answered open-ended questions and triangulated themes with app user data (DMU IRB-2021-17). RESULTS: Four major app effects were reported by users: reduced prenatal anxiety and increased parent/family–fetal bonding, awareness of fetal movement, and health-seeking behavior in the presence of decreased fetal movement. Moreover, app user data suggested that these benefits were amplified by more consistent app use. CONCLUSION: Collectively, FMA users in this study associated app use with clinically significant prenatal outcomes and did not report that app use led to consequences or harm. From an institutional perspective, these findings may support health systems and prenatal providers who are investigating whether and how to integrate digital patient support modalities into prenatal care and are seeking evidence to support decision-making.

Physical Activity and Quality of Life in Persons Newly Diagnosed With Multiple Sclerosis: A Cross-sectional Study

ObjectiveTo examine the association between physical activity (PA) and quality of life (QOL) in persons newly diagnosed with multiple sclerosis (MS) who have been under-represented in MS research. DesignCross-sectional study with secondary data analysis. SettingGeneral community. ParticipantsThe study included 152 persons newly diagnosed with MS (ie, diagnosed with MS within the past 2 years) aged 18 and older (N=152). Main Outcome MeasuresParticipants completed the Godin Leisure-Time Exercise Questionnaire to measure PA. QOL, disability status, fatigue, mood, and comorbidity were assessed using the 12-Item Short Form Survey (SF-12), Patient Determined Disease Steps, Hamburg Quality of Life Questionnaire Multiple Sclerosis, and comorbidity questionnaire. ResultsThe bivariate correlations indicated that PA was significantly and positively associated with the physical component of QOL (ie, SF-12 PCS) (r=0.46). The stepwise multiple linear regression analysis indicated PA as associated with SF-12 PCS (β=0.43, R2=0.17) when solely included in the model. After controlling for fatigue, mood, disability status, and comorbidity as covariates (R2=0.63), the association between PA and SF-12 PCS was still statistically significant, but attenuated in magnitude (β=0.11). ConclusionsThis study observed that PA was significantly associated with the physical component of QOL in persons newly diagnosed with MS, even after controlling for covariates. The findings underscore the importance of developing behavior change interventions targeting PA while addressing the roles of fatigue and disability status for enhancing the physical component of QOL of this MS subpopulation.

A lean method for selecting determinants when developing behavior change interventions

ABSTRACT When developing behavior change interventions in a systematic way, it is important to select determinants relevant to the target behavior. Data is needed to gain insight into the determinant structures (the relative strengths of associations between determinants and behavior) and their univariate distributions. This insight is crucial to select the most relevant determinants, but at the same time institutions tasked with behavior change (e.g. prevention organizations, municipal health services) often operate under prohibitive resource constraints, which also extend to how easily they can collect data from a sample. This paper introduces CIBERlite – an approach that furnishes the intervention developer with an idea of the relevance of a limited number of determinants using short measurements informed by theory. The first study (N = 401) in a series of three explores the convergent validity of short and full measurements of determinants derived from the Reasoned Action Approach. The short measurements are used in the main study (N = 415) that serves as a proof-of-concept for the CIBERlite plot, an efficient visualization combining data of determinant structures and their univariate distributions for eight behaviors. The unexpected patterns detected in the main study led to an expert estimation study (N = 45), which shows that individual experts have difficulty in predicting how people score on determinants. This stresses the importance of conducting determinant studies and CIBERlite is a valuable alternative to do so if resources are limited.

#LetsUnlitterUK: A demonstration and evaluation of the Behavior Change Wheel methodology.

The Behavior Change Wheel is the most comprehensive and practically useful methodology available for developing behavior change interventions. The current article demonstrates how it can be applied to optimize pro-environmental behaviors and, in so doing, give interventionists access to a rigorous set of theories and techniques for systematically developing pro-environmental interventions. Section 1 describes the development of an intervention to increase people's intentions to post anti-littering messages on social media. Study 2 describes the development and evaluation of an intervention to increase people's actual anti-littering posts. Both evaluations are randomized controlled trials that compare the effectiveness of the developed intervention with interventions less informed by the Wheel. We found interventions completely informed by the Wheel to be more effective than interventions less (or not at all) informed by the Wheel. The discussion explores how the Behavior Change Wheel methodology can be used to design future pro-environment interventions.

Enhancing the Behaviour Change Wheel with synthesis, stakeholder involvement and decision-making: a case example using the \u2018Enhancing the Quality of Psychological Interventions Delivered by Telephone\u2019\xa0(EQUITy) research programme

BackgroundUsing frameworks such as the Behaviour Change Wheel to develop behaviour change interventions can be challenging because judgement is needed at various points in the process and it is not always clear how uncertainties can be resolved. We propose a transparent and systematic three-phase process to transition from a research evidence base to a behaviour change intervention. The three phases entail evidence synthesis, stakeholder involvement and decision-making. We present the systematic development of an intervention to enhance the quality of psychological treatment delivered by telephone, as a worked example of this process.MethodIn phase 1 (evidence synthesis), we propose that the capabilities (C), opportunities (O) and motivations (M) model of behaviour change (COM-B) can be used to support the synthesis of a varied corpus of empirical evidence and to identify domains to be included in a proposed behaviour change intervention. In phase 2 (stakeholder involvement), we propose that formal consensus procedures (e.g. the RAND Health/University of California-Los Angeles Appropriateness Methodology) can be used to facilitate discussions of proposed domains with stakeholder groups. In phase 3 (decision-making), we propose that behavioural scientists identify (with public/patient input) intervention functions and behaviour change techniques using the acceptability, practicability, effectiveness/cost-effectiveness, affordability, safety/side-effects and equity (APEASE) criteria.ResultsThe COM-B model was a useful tool that allowed a multidisciplinary research team, many of whom had no prior knowledge of behavioural science, to synthesise effectively a varied corpus of evidence (phase 1: evidence synthesis). The RAND Health/University of California-Los Angeles Appropriateness Methodology provided a transparent means of involving stakeholders (patients, practitioners and key informants in the present example), a structured way in which they could identify which of 93 domains identified in phase 1 were essential for inclusion in the intervention (phase 2: stakeholder involvement). Phase 3 (decision-making) was able to draw on existing Behaviour Change Wheel resources to revisit phases 1 and 2 and facilitate agreement among behavioural scientists on the final intervention modules. Behaviour changes were required at service, practitioner, patient and community levels.ConclusionFrameworks offer a foundation for intervention development but require additional elucidation at each stage of the process. The decisions adopted in this study are designed to provide an example on how to resolve challenges while designing a behaviour change intervention. We propose a three-phase process, which represents a transparent and systematic framework for developing behaviour change interventions in any setting.

Psychosocial beliefs related to intention to use HIV testing and counselling services among suspected tuberculosis patients in Kassala state, Sudan

BackgroundThere is limited information about the psychosocial sub-determinants regarding the use of HIV Testing and Counselling (HTC) services among suspected Tuberculosis (TB) patients in Sudan. This study aimed to assess the association between psychosocial beliefs and the intention to use HTC services and to establish the relevance of these beliefs for developing behaviour change interventions among suspected TB patients.MethodsSuspected TB patients (N = 383) from four separate TB facilities completed a cross-sectional questionnaire which was based on the Reasoned Action Approach theory. Eligibility criteria included attending Tuberculosis Management Units in Kassala State as suspected TB patients and aged 18–64 years. A Confidence Interval Based Estimation of Relevance (CIBER) analysis approach was employed to investigate the association of the beliefs with the intention to use HTC services and to establish their relevance to be targeted in behaviour change interventions.ResultsThe CIBER results showed the beliefs included in the study accounted for 59 to 70% of the variance in intention to use HTC services. The belief “My friends think I have to use HTC services” was positively associated with the intent to use HTC, and it is highly relevant for intervention development. The belief “I would fear to be stigmatized if I get a HIV positive result” was negatively related to the intention to use HTC services and was considered a highly relevant belief. The belief “If I use HTC services, health care providers will keep my HIV test result confidential” was strongly associated with the intention to use HTC services. However, the relevance of this belief as a target for future interventions development was relatively low. Past experience with HTC services was weakly associated with the intention to use HTC services.ConclusionThe intention to use HTC was a function of psychosocial beliefs. The beliefs investigated varied in their relevance for interventions designed to encourage the use of HTC services. Interventions to promote intention to use HIV testing and counselling services should address the most relevant beliefs (sub-determinants). Further study is needed to establish the relevance of sub-determinants of the intention to use HTC services for interventions development.

A collaborative approach to developing sustainable behaviour change interventions for childhood obesity prevention: Development of the Choosing Healthy Eating for Infant Health (CHErIsH) intervention and implementation strategy.

There is growing recognition of the need for effective behaviour change interventions to prevent chronic diseases that are feasible and sustainable and can be implemented within routine health care systems. Focusing on implementation from the outset of intervention development, and incorporating multiple stakeholder perspectives to achieve this, is therefore essential. This study explores the development of the Choosing Healthy Eating for Infant Health (CHErIsH) childhood obesity prevention intervention and implementation strategy to improve infant feeding behaviours. Five qualitative and quantitative evidence syntheses, two primary qualitative studies, and formal/informal consultations were conducted with practice, policy, research, and parent stakeholders. The Behaviour Change Wheel was used to guide the integration of findings. The CHErIsH intervention targets parent-level behaviour change and comprises (1) brief verbal messages and (2) trustworthy resources, to be delivered by health care professionals (HCPs) during routine infant vaccination visits. The implementation strategy targets HCP-level behaviour change and comprises (1) a local opinion leader, (2) incentivized training, (3) HCP resources and educational materials, (4) electronic delivery prompts, (5) awareness-raising across all primary care HCPs, and (6) local technical support. This study provides a rigorous example of the development of an evidence-based intervention aimed at improving parental infant feeding behaviours, alongside an evidence-based behaviour change strategy to facilitate implementation and sustainability in primary care. This approach demonstrates how to systematically incorporate multiple stakeholder perspectives with existing literature and move from multiple evidence sources to clearly specified intervention components for both the intervention and implementation strategy. Statement of Contribution What is already known? Incorporating insights from practice, policy, and public/patient stakeholders plays a key role in developing behaviour change interventions that are feasible and sustainable and can be implemented within routine health care systems. However, there are limited examples that provide in-depth guidance of how to do this using a systematic approach. What this study adds? This study describes an innovative use of the Behaviour Change Wheel to integrate multiple sources of evidence collected from practice, policy, research, and parent stakeholders to concurrently develop an evidence-based intervention to improve parental infant feeding behaviours and an implementation strategy to facilitate sustainable delivery by health care professionals in routine primary care.

Developing Behaviour Change Interventions for Improving Access to Health and Hygiene for People with Disabilities: Two Case Studies from Nepal and Malawi.

Limited evidence exists about how to design interventions to improve access to health care for people with disabilities in low and middle-income countries (LMICs). This paper documents the development of two behaviour change interventions. Case study one outlines the design of an intervention to improve uptake of referral for ear and hearing services for children in Malawi. Case study two describes the design of an intervention to improve menstrual hygiene management for people with intellectual impairments in Nepal. Both followed existing approaches—Medical Research Council Guidance for developing and evaluating complex interventions and Behaviour Centred Design. The purpose is to demonstrate how these frameworks can be applied, to document the interventions developed, and encourage further initiatives to advance health services targeting people with disabilities. Important components of the intervention design process were: (1) systematic reviews and formative research ensure that interventions designed are relevant to current discourse, practice and context; (2) people with disabilities and their family/carers must be at the heart of the process; (3) applying the theory of change approach and testing it helps understand links between inputs and required behaviour change, as well as ensuring that the interventions are relevant to local contexts; (4) involving creative experts may lead to the development of more engaging and appealing interventions. Further evidence is needed on the effectiveness of these types of interventions for people with disabilities to ensure that no one is left behind.

Developing Behavior Change Interventions for Self-Management in Chronic Illness: An Integrative Overview.

. More people than ever are living longer with chronic conditions such as obesity, type 2 diabetes, and heart disease. Behavior change for effective self-management can improve health outcomes and quality of life in people living with such chronic illnesses. The science of developing behavior change interventions with impact for patients aims to optimize the reach, effectiveness, adoption, implementation, and maintenance of interventions and rigorous evaluation of outcomes and processes of behavior change. The development of new services and technologies offers opportunities to enhance the scope of delivery of interventions to support behavior change and self-management at scale. Herein, we review key contemporary approaches to intervention development, provide a critical overview, and integrate these approaches into a pragmatic, user-friendly framework to rigorously guide decision-making in behavior change intervention development. Moreover, we highlight novel emerging methods for rapid and agile intervention development. On-going progress in the science of intervention development is needed to remain in step with such new developments and to continue to leverage behavioral science’s capacity to contribute to optimizing interventions, modify behavior, and facilitate self-management in individuals living with chronic illness.

Factors affecting the achievement of fertility intentions in urban Nigeria: analysis of longitudinal data

BackgroundMaternal mortality ratio in Nigeria is among the highest in the world with an estimated 160 women dying every day of complications related to pregnancy and childbirth. In addition to appropriate management of complications related to pregnancy and childbirth, preventing unwanted pregnancies is an effective way to reduce maternal deaths. Identifying potentially modifiable factors associated with the achievement of fertility intentions is critical for developing behavior change interventions that will contribute to reducing maternal mortality.MethodsThe data analyzed came from a longitudinal design with data collected in 2010/2011 and 2014 from the same group of women of reproductive age in six Nigerian cities. The data were collected as part of efforts to evaluate the effects of the Nigerian Urban Reproductive Health Initiative (NURHI). A total of 10,672 women were interviewed at the two points in time but the analyses in this manuscript were limited to 1921 in-union women who reported that they desired no more children at baseline in 2010/2011. The principal analytic method was multivariable regression adjusted for clustering at the enumeration area level. The analysis controlled for socio-demographic and household variables, ideational characteristics, and contraceptive use at baseline.ResultsAbout two thirds of the women who desired no more children at baseline have neither had any children nor were pregnant at endline. The strongest predictors of the achievement of fertility intentions include parity, age, religion, residence, spousal communication about family size, perceived severity of another pregnancy, and spousal agreement about family size.ConclusionA comprehensive strategy to help women avoid unwanted pregnancies should include efforts to increase women’s understanding about effective ways to prevent unplanned pregnancies and strengthen self-efficacy for contraceptive use. Promoting spousal communication about reproductive issues, engaging men, promoting smaller family sizes and changing pronatalist attitudes should also be part of such a strategy.

Use of Intervention Mapping to Enhance Health Care Professional Practice: A Systematic Review.

Intervention Mapping is a planning protocol for developing behavior change interventions, the first three steps of which are intended to establish the foundations and rationales of such interventions. This systematic review aimed to identify programs that used Intervention Mapping to plan changes in health care professional practice. Specifically, it provides an analysis of the information provided by the programs in the first three steps of the protocol to determine their foundations and rationales of change. A literature search was undertaken in PubMed, Scopus, SciELO, and DOAJ using "Intervention Mapping" as keyword. Key information was gathered, including theories used, determinants of practice, research methodologies, theory-based methods, and practical applications. Seventeen programs aimed at changing a range of health care practices were included. The social cognitive theory and the theory of planned behavior were the most frequently used frameworks in driving change within health care practices. Programs used a large variety of research methodologies to identify determinants of practice. Specific theory-based methods (e.g., modelling and active learning) and practical applications (e.g., health care professional training and facilitation) were reported to inform the development of practice change interventions and programs. In practice, Intervention Mapping delineates a three-step systematic, theory- and evidence-driven process for establishing the theoretical foundations and rationales underpinning change in health care professional practice. The use of Intervention Mapping can provide health care planners with useful guidelines for the theoretical development of practice change interventions and programs.

‘When you are homeless, you are not thinking about your medication, but your food, shelter or heat for the night’: behavioural determinants of homeless patients' adherence to prescribed medicines

ObjectivesThis study aimed to explore behavioural determinants of homeless patients' adherence to prescribed medicines using Theoretical Domains Framework (TDF). Study designA qualitative study using semi-structured, face-to-face interviews. MethodsParticipants were recruited from a homelessness primary healthcare centre in Aberdeen, United Kingdom (UK). Face-to-face interviews were audio-recorded and transcribed verbatim. Thematic analysis of the interview data was conducted using the Framework Approach based on the Theoretical Domains Framework. National Health Service ethical and Research and Development (R&D) approval was obtained. ResultsTwenty-five patients were interviewed, at which point data saturation was achieved. A total of 13 out of 14 Theoretical Domains Framework domains were identified that explained the determinants of adherence or non-adherence to prescribed medicines. These included: ‘beliefs about consequences’ (e.g. non-adherence leading to poor health); ‘goals’ of therapy (e.g. being a ‘normal’ person with particular reference to methadone adherence); and ‘environmental context and resources’ (e.g. stolen medicines and the lack of secure storage). Obtaining food and shelter was higher priority than access and adherence to prescribed medicines while being homeless. ConclusionsBehavioural determinants of non-adherence identified in this study were mostly related to participants' homelessness and associated lifestyle. Results are relevant to developing behaviour change interventions targeting non-adherent homeless patients and to the education of healthcare professionals serving this vulnerable population.

Making the case for change: What researchers need to consider when designing behavior change interventions aimed at improving medication dispensing.

There is a growing emphasis on behavior change in intervention development programmes aimed at improving public health and healthcare professionals' practice. A number of frameworks and methodological tools have been established to assist researchers in developing interventions seeking to change healthcare professionals' behaviors. The key features of behavior change intervention design involve specifying the target group (i.e. healthcare professional or patient cohort), the target behavior and identifying mediators (i.e. barriers and facilitators) of behavior change. Once the target behavior is clearly specified and understood, specific behavior change techniques can then be used as the basis of the intervention to target identified mediators of behavior change. This commentary outlines the challenges for pharmacy practice-based researchers in targeting dispensing as a behavior when developing behavior change interventions aimed at pharmacists and proposes a definition of dispensing to consider in future research.

Sustainable Change Sequence: A framework for developing behavior change interventions for patients with long-term conditions

ObjectiveInteractive interventions are increasingly advocated to support behavior change for patients who have long-term conditions. Such interventions are most likely to achieve behavior change when they are based on appropriate theoretical frameworks. Developers of interventions are faced with a diverse set of behavioral theories that do not specifically address intervention development. The aim of our work was to develop a framework to guide the developers of interactive healthcare interventions that was derived from relevant theory, and which guided developers towards appropriate behavior change techniques.MethodsWe reviewed theories that inform behavior change interventions, where relevant to the management of long-term conditions. Theoretical constructs and behavior change techniques were grouped according to similarity in aims.ResultsWe developed a logic model that operationalizes behavior change theories and techniques into five steps likely to lead to sustained behavior change. The steps are: 1) create awareness of need; 2) facilitate learning; 3) enhance motivation; 4) prompt behaviour change; and 5) ensure sustainability of behaviour change.Conclusion and Practice implicationsA framework that sequences behavioural change techniques along a sustainability model provides a practical template for the developers of interactive healthcare applications and interventions.

Disparities in Health Risk Behavior and Psychological Distress Among Gay Versus Heterosexual Male Cancer Survivors

Gay men have been found to have higher rates of cancer diagnoses than heterosexual men and poorer outcomes postcancer diagnosis. The two aims of this study were to examine rates of cancer diagnosis in a national sample of gay and heterosexual men, and to examine disparities in health risk behavior between gay and heterosexual men and gay and heterosexual cancer survivors. The current study utilized data from a total sample of 14,354 men, including 373 gay men, collected as part of the Behavioral Risk Factor Surveillance System survey conducted in 2009 in the states of Arizona, California, Massachusetts, Ohio, and Wisconsin. This study replicated the finding that prevalence of self-reported cancer diagnoses differed significantly between gay and heterosexual men, with gay men 82% more likely to report a lifetime history of cancer diagnosis (p<0.05); however, this disparity became nonsignificant after controlling for a weakened immune system proxy variable (p=0.06). Gay men were more likely than heterosexual men to report health risk behaviors, including less time spent exercising, more psychological distress, more current alcohol use, more current smoking, and a lifetime history of smoking. Some of these disparities in health risk behavior persisted for gay cancer survivors postcancer diagnosis. This study offers a perspective on behavioral risk factors previously shown to be higher among gay men that may continue postcancer diagnosis. Future research should test the degree to which these disparities are caused by minority stress, as previous studies have indicated that increased health risk behaviors among sexual minority populations may result from exposure to chronic stress and discrimination. Developing behavior change interventions to address these risk behaviors is vital for improving cancer outcomes among gay men.

Testing the capacity within an extended theory of planned behaviour to reduce the commission of driving violations

The capacity within an extended theory of planned behaviour (TPB) to change young drivers’ intentions and reduce their commission of driving violations was tested using regression-based statistical simulations. Participants (N = 198) completed questionnaire measures of TPB variables, plus moral norm and anticipated regret, each with respect to 11 different driving violations. One month later, subsequent behavioural performance was measured, again using self-completion questionnaires. Statistical simulations indicated substantial capacity within the extended TPB to reduce driving violations, with maximum changes to all of the cognitive predictors generating large degrees of intention and behaviour change (i.e. d > 0.80). However, the degree of intention change that was generated was greater than the degree of behaviour change, and sensitivity analyses demonstrated that behavioural interventions need to successfully change multiple cognitive variables in order to achieve meaningful reductions in driving violations. Implications of the findings for developing behaviour change interventions are discussed.

Perceived Behavioral Control in Reasoned Action Theory

The inclusion of perceptions of control over behavioral performance has importantly advanced the ability of reasoned action theory to explain behavioral intentions and predict behavior. In consequence, the theory has usefulness as a tool for developing behavior change interventions. Despite the theoretical and practical importance of a perceived behavioral control construct, there remains ambiguity regarding the precise meaning and measurement of items. A central issue is that items used to measure perceived behavioral control often load on two factors, one composed of confidence-framed items and the other of control-framed items. According to reasoned action theory, these two factors represent capacity and autonomy aspects of perceived behavioral control. In this article I review the usefulness of the current dual-aspect conceptualization of perceived behavioral control, present illustrative perceived capacity and autonomy data, and discuss new areas of inquiry that can further advance the conceptualization of perceived behavioral control.

The contribution of behavioural science to primary care research: development and evaluation of behaviour change interventions

Behavioural science is concerned with predicting, explaining and changing behaviour. Taking a personal perspective, this article aims to show how behavioural science can contribute to primary care research, specifically in relation to the development and evaluation of interventions to change behaviour. After discussing the definition and measurement of behaviour, the principle of compatibility and theories of behaviour change, the article outlines two examples of behaviour change trials (one on medication adherence and the other on physical activity), which were part of a research programme on prevention of chronic disease and its consequences. The examples demonstrate how, in a multidisciplinary context, behavioural science can contribute to primary care research in several important ways, including posing relevant research questions, defining the target behaviour, understanding the psychological determinants of behaviour, developing behaviour change interventions and selection or development of measures. The article concludes with a number of recommendations: (i) whether the aim is prediction, explanation or change, defining the target behaviour is a crucial first step; (ii) interventions should be explicitly based on theories that specify the factors that need to be changed in order to produce the desired change in behaviour; (iii) intervention developers need to be aware of the differences between different theories and select a theory only after careful consideration of the alternatives assessed against relevant criteria; and (iv) developers need to be aware that interventions can never be entirely theory based.

Clustering of risk behaviours among African American adults

Objectives: Individuals may engage in more than one risk behaviour at any given time. The extent to which risk behaviours cluster among African American adults has been largely unexplored. This study examined the prevalence and clustering of three risk behaviours among African American church members: smoking; low moderate-to-vigorous intensity leisure time physical activity (leisure MVPA); and low fruit and vegetable consumption. Design: Cross-sectional study. Setting: African Methodist Episcopal churches in South Carolina. Method: Participants self-reported leisure MVPA, fruit and vegetable consumption and smoking. The prevalence of single and multiple risk behaviours was computed. To examine whether risk behaviours clustered, a series of hierarchical log-linear models (SAS CATMOD) were fitted to the observed counts. Results: Of the 1123 participants, 7.0% smoked, 56.0% engaged in &lt;150 minutes/week of leisure MVPA and 76.8% consumed &lt;5 servings/day of fruit and vegetables; 11.8% of the sample had no risk behaviours, 39.5% had one, 45.7% had two and 2.9% had all three. The most common risk behaviour cluster was low leisure MVPA and low fruit and vegetable consumption (42.1%). Results from the log-linear models showed dependence among low fruit and vegetable consumption and low leisure MVPA, independent of smoking status. Conclusions: Church members who engaged in low levels of leisure MVPA were more likely to have low fruit and vegetable consumption, regardless of smoking status. These findings suggest that these two behaviours should not be considered in isolation from one another when developing behaviour change interventions; interventions targeting both behaviours may be more effective.