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Potthoff S, Kwasnicka D, Avery L, Finch T, Gardner B, Hankonen N, Johnston D, Johnston M, Kok G, Lally P, Maniatopoulos G, Marques MM, McCleary N, Presseau J, Rapley T, Sanders T, Ten Hoor G, Vale L, Verplanken B, Grimshaw JM. Changing healthcare professionals' non-reflective processes to improve the quality of care. Soc Sci Med 2022; 298:114840. [PMID: 35287065 DOI: 10.1016/j.socscimed.2022.114840] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/19/2022] [Accepted: 02/20/2022] [Indexed: 11/18/2022]
Abstract
RATIONALE Translating research evidence into clinical practice to improve care involves healthcare professionals adopting new behaviours and changing or stopping their existing behaviours. However, changing healthcare professional behaviour can be difficult, particularly when it involves changing repetitive, ingrained ways of providing care. There is an increasing focus on understanding healthcare professional behaviour in terms of non-reflective processes, such as habits and routines, in addition to the more often studied deliberative processes. Theories of habit and routine provide two complementary lenses for understanding healthcare professional behaviour, although to date, each perspective has only been applied in isolation. OBJECTIVES To combine theories of habit and routine to generate a broader understanding of healthcare professional behaviour and how it might be changed. METHODS Sixteen experts met for a two-day multidisciplinary workshop on how to advance implementation science by developing greater understanding of non-reflective processes. RESULTS From a psychological perspective 'habit' is understood as a process that maintains ingrained behaviour through a learned link between contextual cues and behaviours that have become associated with those cues. Theories of habit are useful for understanding the individual's role in developing and maintaining specific ways of working. Theories of routine add to this perspective by describing how clinical practices are formed, adapted, reinforced and discontinued in and through interactions with colleagues, systems and organisational procedures. We suggest a selection of theory-based strategies to advance understanding of healthcare professionals' habits and routines and how to change them. CONCLUSION Combining theories of habit and routines has the potential to advance implementation science by providing a fuller understanding of the range of factors, operating at multiple levels of analysis, which can impact on the behaviours of healthcare professionals, and so quality of care provision.
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Affiliation(s)
- Sebastian Potthoff
- Department of Social Work, Education and Community Wellbeing, Northumbria University, Newcastle Upon Tyne, NE7 7XA, UK; Population and Health Science Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.
| | - Dominika Kwasnicka
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, 53-238, Wroclaw, Poland; NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne School of Population and Global Health, University of Melbourne, 333 Exhibition Street, 3000, Melbourne, Australia.
| | - Leah Avery
- School of Health & Life Sciences, Teesside University, Tees Valley, TS1 3BA, UK; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
| | - Tracy Finch
- Department of Nursing, Midwifery & Health, Northumbria University, Newcastle upon Tyne, NE7 7XA, UK.
| | | | - Nelli Hankonen
- Faculty of Social Sciences, Tampere University, Tampere, Finland; Faculty of Social Sciences, University of Helsinki, Unioninkatu 37, 00014, Finland.
| | - Derek Johnston
- Health Psychology Group, University of Aberdeen, Aberdeen, AB25 2ZD, Scotland, UK.
| | - Marie Johnston
- Health Psychology Group, University of Aberdeen, Aberdeen, AB25 2ZD, Scotland, UK.
| | - Gerjo Kok
- Department of Work and Social Psychology, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Phillippa Lally
- Research Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK.
| | - Gregory Maniatopoulos
- Population and Health Science Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK; Faculty of Business and Law, Northumbria University, Newcastle upon Tyne, UK.
| | - Marta M Marques
- Comprehensive Health Research Centre (CHRC), NOVA Medical School, Universidade Nova de Lisboa, Portugal.
| | - Nicola McCleary
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, K1H 8L6, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, K1G 5Z3, Canada.
| | - Justin Presseau
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, K1H 8L6, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, K1G 5Z3, Canada; School of Psychology, University of Ottawa, Ottawa, K1N 6N5, Canada.
| | - Tim Rapley
- Department of Social Work, Education and Community Wellbeing, Northumbria University, Newcastle Upon Tyne, NE7 7XA, UK.
| | - Tom Sanders
- Department of Social Work, Education and Community Wellbeing, Northumbria University, Newcastle Upon Tyne, NE7 7XA, UK.
| | - Gill Ten Hoor
- Department of Work and Social Psychology, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Luke Vale
- Population and Health Science Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.
| | - Bas Verplanken
- Department of Psychology, University of Bath, Bath, BA2 7AY, UK.
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, K1H 8L6, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, K1G 5Z3, Canada; Department of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada.
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Beard E, Lorencatto F, Gardner B, Michie S, Owen L, Shahab L. Behavioral Intervention Components Associated With Cost-effectiveness: A Comparison of Six Domains. Ann Behav Med 2021; 56:176-192. [PMID: 34114597 PMCID: PMC8832109 DOI: 10.1093/abm/kaab036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background To help implement behavior change interventions (BCIs) it is important to be able to characterize their key components and determine their effectiveness. Purpose This study assessed and compared the components of BCIs in terms of intervention functions identified using the Behaviour Change Wheel Framework (BCW) and in terms of their specific behavior change techniques (BCTs) identified using the BCT TaxonomyV1, across six behavioral domains and the association of these with cost-effectiveness. Methods BCIs in 251 studies targeting smoking, diet, exercise, sexual health, alcohol and multiple health behaviors, were specified in terms of their intervention functions and their BCTs, grouped into 16 categories. Associations with cost-effectiveness measured in terms of incremental cost-effectiveness ratio (ICER) upper and lower estimates were determined using regression analysis. Results The most prevalent functions were increasing knowledge through education (72.1%) and imparting skills through training (74.9%). The most prevalent BCT groupings were shaping knowledge (86.5%), changing behavioral antecedents (53.0%), supporting self-regulation (47.7%), and providing social support (44.6%). Intervention functions associated with better cost-effectiveness were those based on training (βlow = −15044.3; p = .002), persuasion (βlow = −19384.9; p = .001; βupp = −25947.6; p < .001) and restriction (βupp = −32286.1; p = .019), and with lower cost-effectiveness were those based on environmental restructuring (β = 15023.9low; p = .033). BCT groupings associated with better cost-effectiveness were goals and planning (βlow = −8537.3; p = .019 and βupp = −12416.9; p = .037) and comparison of behavior (βlow = −13561.9, p = .047 and βupp = −30650.2; p = .006). Those associated with lower cost-effectiveness were natural consequences (βlow = 7729.4; p = .033) and reward and threat (βlow = 20106.7; p = .004). Conclusions BCIs that focused on training, persuasion and restriction may be more cost-effective, as may those that encourage goal setting and comparison of behaviors with others.
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Affiliation(s)
- E Beard
- Research Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK
| | - F Lorencatto
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, UK
| | - B Gardner
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - S Michie
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, UK
| | - L Owen
- National Institute for Health and Care Excellence, NICE, UK
| | - L Shahab
- Research Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK
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Armstrong T, Rockloff M, Browne M, Blaszczynski A. Encouraging Gamblers to Think Critically Using Generalised Analytical Priming is Ineffective at Reducing Gambling Biases. J Gambl Stud 2020; 36:851-869. [PMID: 31728742 DOI: 10.1007/s10899-019-09910-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Gambling has been associated with an array of fallacious beliefs that foster risky gambling decisions. Research into other belief systems suggests that the endorsement of non-evidence based beliefs, such as the paranormal or conspiracy theories, can be reduced when people think more analytically. The purpose of this study was to explore whether an intervention designed to elicit analytical thinking was effective in altering the gambling beliefs and simulated gambling behaviour of 178 regular electronic gaming machine (EGM) gamblers (102 males, 76 female). Participants were randomly allocated to complete either an analytic or a neutral priming task, followed by completion of belief measures (erroneous and protective) and play on a simulated EGM game. Results failed to show that priming for analytical thinking changed betting on an EGM; including features of bet size, bet change, persistence and theoretical losses. Contrary to expectations, results suggest that priming analytical thinking using generalised interventions does not appear to be effective in altering peoples' simulated gambling involvement or gambling beliefs. In fact, priming people to think more critically might be counterproductive by contributing to greater positive expectations about gambling outcomes. The results further suggested that the number of times a player alters their bet is a good indicator of theoretical gambling losses and is associated with irrational gambling cognitions. Interventions designed to promote safer thinking in gamblers should be implemented with care, as results from our study suggest that encouraging critical thinking in at-risk or problem gamblers may not be effective in reducing risky gambling.
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Affiliation(s)
- Tess Armstrong
- School of Human, Medical, and Applied Sciences, Central Queensland University, 44 Greenhill Road, Wayville, SA, 5034, Australia
| | - Matthew Rockloff
- School of Human, Medical, and Applied Sciences, Central Queensland University, University Drive, Bundaberg, QLD, 4670, Australia
| | - Matthew Browne
- School of Human, Medical, and Applied Sciences, Central Queensland University, University Drive, Bundaberg, QLD, 4670, Australia
| | - Alexander Blaszczynski
- School of Psychology, The University of Sydney, M02F Mallett Street Campus, Sydney, NSW, 2006, Australia.
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Armstrong T, Rockloff M, Browne M, Blaszczynski A. Beliefs About Gambling Mediate the Effect of Cognitive Style on Gambling Problems. J Gambl Stud 2020; 36:871-886. [PMID: 32215774 DOI: 10.1007/s10899-020-09942-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Problem gambling is often accompanied by a range of irrational cognitions that promote excessive gambling. The cognitive basis for these beliefs has been largely overlooked in the gambling literature. Dual process theory suggests there are two parallel cognitive processing systems, an intuitive and an analytic system, and that there are potential individual differences in preference for one or the other cognitive style. The current study explored whether people's cognitive styles are an important factor in the development of specific beliefs about gambling that in-turn contribute to gambling problems. The sample consisted of 1168 regular gamblers (539 female, ranging from 18 to 78 years of age; M = 35.47, SD = 10.78) recruited via Mechanical Turk. Participants completed a survey assessing cognitive style, problem gambling severity, and measures of protective and erroneous beliefs. In a path model, greater analytical thinking and lower intuitive thinking was associated with fewer erroneous gambling beliefs, which in turn were related to fewer gambling problems. A second model showed that protective beliefs also mediated the relationship between cognitive style and gambling, demonstrating that greater analytical thinking and lower intuitive thinking was associated with protective beliefs that similarly reduced problem gambling severity. Results suggest that a person's cognitive style influences peoples gambling by contributing to the endorsement of irrational or unsafe beliefs about gambling. Encouraging people to think more analytically may be useful in reducing erroneous beliefs about gambling that promote problematic gambling behaviour.
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Affiliation(s)
- Tess Armstrong
- School of Human, Medical, and Applied Sciences, CQUniversity, 44 Greenhill Road, Wayville, SA, 5034, Australia.
| | - Matthew Rockloff
- School of Human, Medical, and Applied Sciences, CQUniversity, University Drive, Bundaberg, QLD, 4670, Australia
| | - Matthew Browne
- School of Human, Medical, and Applied Sciences, CQUniversity, University Drive, Bundaberg, QLD, 4670, Australia
| | - Alexander Blaszczynski
- Brain and Mind Centre, School of Psychology, The University of Sydney, M02F Mallett Street Campus, Sydney, NSW, 2006, Australia
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Armstrong T, Rockloff M, Browne M. Gamble with Your Head and Not Your Heart: A Conceptual Model for How Thinking-Style Promotes Irrational Gambling Beliefs. J Gambl Stud 2020; 36:183-206. [PMID: 31912382 DOI: 10.1007/s10899-019-09927-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Dual process theory suggests that people use two processing systems to filter information and form judgments that direct a course of action: an intuitive and an analytic system. While the intuitive system is necessary for efficient and effective daily functioning, reliance on fast, intuitive thinking when gambling is likely to result in biased or flawed decision-making. Those who gamble tend to endorse an array of fallacious or irrational beliefs that contribute to risky decision-making and excessive gambling. This paper argues that gambling beliefs may be developed and reinforced through underlying cognitive mechanisms described by dual process theory. More specifically, gamblers tend to apply assumptions and theories developed based on their understanding of the natural world to artificial gambling contexts where such rules do not apply. As a result, gamblers develop biased interpretations and understandings for how gambling works, which tend to align with personal schemas, experiences and gambling motivations. These beliefs are used in future gambling contexts to inform decision-making. Gamblers are often unlikely or unwilling to reflect on the veracity of beliefs as they are often used to justify gambling behaviours. Educating gamblers on how they make decisions and encouraging them to think more analytically may help to reduce the strength with which erroneous beliefs about gambling are endorsed, resulting in safer gambling decisions.
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Affiliation(s)
- Tess Armstrong
- School of Human, Medical, and Applied Sciences, CQUniversity, 44 Greenhill Road, Wayville, SA, 5034, Australia.
| | - Matthew Rockloff
- School of Human, Medical, and Applied Sciences, CQUniversity, University Drive, Bundaberg, QLD, 4670, Australia
| | - Matthew Browne
- School of Human, Medical, and Applied Sciences, CQUniversity, University Drive, Bundaberg, QLD, 4670, Australia
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Variable Magnitude and Frequency Financial Reinforcement is Effective at Increasing Adults' Free-Living Physical Activity. Perspect Behav Sci 2020; 43:515-538. [PMID: 33029578 DOI: 10.1007/s40614-019-00241-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Financial rewards can increase health behaviors, but little research has quantified the effects of different reinforcement schedules on this process. This analysis compares the average moderate-to-vigorous physical activity (MVPA) associated with six distinct positive reinforcement schedules implemented within a physical activity promotion clinical trial. In this trial, participants (N = 512) wore an accelerometer for 1 year and were prescribed one of two types of MVPA goals: a static 30-min goal or an adaptive goal based on the MVPA produced over the previous 9 days. As participants met goals, they transitioned through a sequence of reinforcement stages, beginning with a continuous-fixed magnitude (CRF-FM), then CRF-variable magnitude (CRF-VM), followed by a series of variable ratio-VM (VR-VM) schedules. The average accumulation of MVPA bouts over the last 24 days of each stage was compared to each other. Average MVPA during stage transitions was also examined. The results indicated that immediate reinforcement resulted in more MVPA relative to a comparison group and that the relative effectiveness of adaptive versus static goals was dependent on the magnitude of daily MVPA goals. Schedule effects were qualitatively different for individuals who frequently met their daily goals (Large Intervention Effect subgroup) versus those who did not (Small Intervention Effect subgroup). For the Large Intervention Effect group, the CRF-VM schedule produced the most MVPA, in particular within the adaptive goal condition, with increases observed immediately upon encountering this schedule. In contrast, the CRF-FM schedule produced small amounts of MVPA. This pattern was reversed for the Small Intervention Effect subgroup, where the most MVPA was associated with the CRF-FM stage. Future interventions should focus on discriminating small versus large intervention effects as quickly as possible so that the optimal reinforcement schedule can be used.
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Hunter RF, Gough A, Murray JM, Tang J, Brennan SF, Chrzanowski-Smith OJ, Carlin A, Patterson C, Longo A, Hutchinson G, Prior L, Tully MA, French DP, Adams J, McIntosh E, Xin Y, Kee F. A loyalty scheme to encourage physical activity in office workers: a cluster RCT. PUBLIC HEALTH RESEARCH 2019. [DOI: 10.3310/phr07150] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background
Increasing physical activity in the workplace can provide physical and mental health benefits for employees and economic benefits for the employer through reduced absenteeism and increased productivity. However, there is limited evidence on effective behaviour change interventions in workplace settings that led to maintained physical activity. This study aimed to address this gap and contribute to the evidence base for effective and cost-effective workplace interventions.
Objectives
To determine the effectiveness and cost-effectiveness of the Physical Activity Loyalty scheme, a multicomponent intervention based on concepts similar to those that underpin a high-street loyalty card, which was aimed at encouraging habitual physical activity behaviour and maintaining increases in mean number of steps per day.
Design
A cluster randomised controlled trial with an embedded economic evaluation, behavioural economic experiments, mediation analyses and process evaluation.
Setting
Office-based employees from public sector organisations in Belfast and Lisburn city centres in Northern Ireland.
Participants
A total of 853 participants [mean age 43.6 years (standard deviation 9.6 years); 71% of participants were female] were randomly allocated by cluster to either the intervention group or the (waiting list) control group.
Intervention
The 6-month intervention consisted of financial incentives (retail vouchers), feedback and other evidence-based behaviour change techniques. Sensors situated in the vicinity of the workplaces allowed participants to monitor their accumulated minutes of physical activity.
Main outcome measures
The primary outcome was mean number of steps per day recorded using a sealed pedometer (Yamax Digiwalker CW-701; Yamax, Tasley, UK) worn on the waist for 7 consecutive days and at 6 and 12 months post intervention. Secondary outcomes included health, mental well-being, quality of life, work absenteeism and presenteeism, and the use of health-care resources.
Results
The mean number of steps per day were significantly lower for the intervention group than the control group [6990 mean number of steps per day (standard deviation 3078) vs. 7576 mean number of steps per day (standard deviation 3345), respectively], with an adjusted mean difference of –336 steps (95% confidence interval –612 to –60 steps; p = 0.02) at 6 months post baseline, but not significantly lower at 12 months post baseline. There was a small but significant enhancement of mental well-being in the intervention group (difference between groups for the Warwick–Edinburgh Mental Wellbeing Scale of 1.34 points, 95% confidence interval 0.48 to 2.20 points), but not for the other secondary outcomes. An economic evaluation suggested that, overall, the scheme was not cost-effective compared with no intervention. The intervention was £25.85 (95% confidence interval –£29.89 to £81.60) more costly per participant than no intervention and had no effect on quality-adjusted life-years (incremental quality-adjusted life-years –0.0000891, 95% confidence interval –0.008 to 0.008).
Limitations
Significant restructuring of participating organisations during the study resulted in lower than anticipated recruitment and retention rates. Technical issues affected intervention fidelity.
Conclusions
Overall, assignment to the intervention group resulted in a small but significant decline in the mean pedometer-measured steps per day at 6 months relative to baseline, compared with the waiting list control group. The Physical Activity Loyalty scheme was deemed not to be cost-effective compared with no intervention, primarily because no additional quality-adjusted life-years were gained through the intervention. Research to better understand the mechanisms of physical activity behaviour change maintenance will help the design of future interventions.
Trial registration
Current Controlled Trials ISRCTN17975376.
Funding
This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 7, No. 15. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Ruth F Hunter
- Centre for Public Health, Queen’s University Belfast, Belfast, UK
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
| | - Aisling Gough
- Centre for Public Health, Queen’s University Belfast, Belfast, UK
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
| | - Jennifer M Murray
- Centre for Public Health, Queen’s University Belfast, Belfast, UK
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
| | - Jianjun Tang
- Centre for Public Health, Queen’s University Belfast, Belfast, UK
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing, China
| | - Sarah F Brennan
- Centre for Public Health, Queen’s University Belfast, Belfast, UK
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
| | | | | | - Chris Patterson
- Centre for Public Health, Queen’s University Belfast, Belfast, UK
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
| | - Alberto Longo
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
- School of Biological Sciences, Queen’s University Belfast, Belfast, UK
| | - George Hutchinson
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
- School of Biological Sciences, Queen’s University Belfast, Belfast, UK
| | - Lindsay Prior
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
| | - Mark A Tully
- Institute of Mental Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, UK
| | - David P French
- School of Psychological Sciences, University of Manchester, Manchester, UK
| | - Jean Adams
- Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Emma McIntosh
- Health Economics and Health Technology Assessment, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Yiqiao Xin
- Health Economics and Health Technology Assessment, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Frank Kee
- Centre for Public Health, Queen’s University Belfast, Belfast, UK
- UKCRC Centre of Excellence for Public Health Research, Queen’s University Belfast, Belfast, UK
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Which Behaviour Change Techniques are Effective in Promoting Physical Activity Among Older People With Dementia? A Call For Research Into Three Underexplored Avenues. J Aging Phys Act 2019; 27:441-445. [PMID: 30676205 DOI: 10.1123/japa.2018-0301] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Beard E, West R, Lorencatto F, Gardner B, Michie S, Owens L, Shahab L. What do cost-effective health behaviour-change interventions contain? A comparison of six domains. PLoS One 2019; 14:e0213983. [PMID: 30995224 PMCID: PMC6469762 DOI: 10.1371/journal.pone.0213983] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 03/05/2019] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVES To help implement behaviour change interventions (BCIs) in practice it is important to be able to characterize their key components. This study compared broad features of cost-effective BCIs that addressed smoking, diet, physical activity, alcohol and sexual health. It also assessed the association of these with the magnitude of the cost-effectiveness estimates. METHODS A content analysis of 79 interventions based on 338 intervention descriptions was conducted, using the Behaviour Change Wheel (BCW) to classify intervention content in terms of intervention functions, and the BCT taxonomy to identify and categorise component Behaviour Change Techniques (BCT). Regression analysis identified the association of these with upper (pessimistic) and lower (optimistic) cost-effectiveness estimates. RESULTS The most and least common functions and BCT clusters were education (82.3%) and shaping knowledge (79.7%), and coercion (3.8%) and covert learning (2.5%). Smoking interventions contained the largest ([Formula: see text] = 12) number of BCTs and were most cost-effective. Several other factors were associated with worse (coercionfunction βupper = 36551.24; shaping knowledgeBCT βlower = 2427.78; comparison of outcomesBCT βupper = 9067.32; repetition and substitutionBCT βupper = 7172.47) and better (modellingfunction βlower = -2905.3; environmental restructuringfunction βupper = -8646.28; reward and threatBCT βupper = -5577.59) cost-effectiveness (p<0.05). DISCUSSION Cost-effective BCIs rely heavily on education with smoking interventions exhibiting the most comprehensive range of BCTs. Providing an example to aspire to, restructuring the environment and rewarding positive behaviour may be associated with greater cost-effectiveness.
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Affiliation(s)
- Emma Beard
- Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Robert West
- Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Fabiana Lorencatto
- Department of Clinical, Educational and Health Psychology, Centre for Outcomes Research and Effectiveness, University College London, London, United Kingdom
| | - Ben Gardner
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Susan Michie
- Department of Clinical, Educational and Health Psychology, Centre for Outcomes Research and Effectiveness, University College London, London, United Kingdom
| | - Lesley Owens
- National Institute for Health and Care Excellence, NICE, London, United Kingdom
| | - Lion Shahab
- Department of Behavioural Science and Health, University College London, London, United Kingdom
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Ginja S. Commentary: What more can we learn from early learning theory? The contemporary relevance for behaviour change interventions. Front Psychol 2018; 9:23. [PMID: 29445347 PMCID: PMC5797800 DOI: 10.3389/fpsyg.2018.00023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 01/09/2018] [Indexed: 11/30/2022] Open
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Ginja S, Arnott B, Namdeo A, McColl E. Understanding active school travel through the Behavioural Ecological Model. Health Psychol Rev 2017; 12:58-74. [PMID: 29098932 DOI: 10.1080/17437199.2017.1400394] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Active school travel (AST) is an important source of physical activity for children and a conceptual understanding of AST is necessary to inform promotion efforts. The aim of this article is to provide a conceptual analysis of AST. All currently identified AST formulations include intra-individual variables which are often recommended as intervention targets. However, existing literature lacks clarity on precisely how these intra-individual variables might shape specific AST interventions. Moreover, evaluative studies of AST interventions typically fail to specify an underpinning theory or model. To address this limitation, the Behavioural Ecological Model (BEM), not previously addressed in AST, is presented to guide this area of research. Based on specific examples, we draw attention to the role of potential antecedents and potential reinforcers of AST, as well as potential reinforcers of motorised travel. Antecedents and reinforcers may help to explain choices of school travel mode, and to inform and increase intervention options to promote AST. Consistent with the BEM, the provision of more immediate consequences, such as fun and material prizes, is an evidence-based strategy for increasing AST which is likely to be low-cost and easier to deliver than alternative interventions. This approach to the study of AST is expected to contribute to similar analyses in this and other areas of behaviour change research, and to a more useful discussion and treatment of theoretical and conceptual behavioural models.
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Affiliation(s)
- Samuel Ginja
- a Institute of Health & Society , Newcastle University , Newcastle upon Tyne , UK
| | - Bronia Arnott
- a Institute of Health & Society , Newcastle University , Newcastle upon Tyne , UK
| | - Anil Namdeo
- b School of Engineering , Newcastle University , Newcastle upon Tyne , UK
| | - Elaine McColl
- a Institute of Health & Society , Newcastle University , Newcastle upon Tyne , UK
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Murray JM, Brennan SF, French DP, Patterson CC, Kee F, Hunter RF. Effectiveness of physical activity interventions in achieving behaviour change maintenance in young and middle aged adults: A systematic review and meta-analysis. Soc Sci Med 2017; 192:125-133. [PMID: 28965003 DOI: 10.1016/j.socscimed.2017.09.021] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 08/31/2017] [Accepted: 09/14/2017] [Indexed: 01/03/2023]
Abstract
BACKGROUND Physical activity (PA) interventions are generally effective in supporting short-term behaviour change, but increases are not always maintained. This review examined the effectiveness of PA interventions for behaviour change maintenance in young and middle-aged adults, and investigated which Behaviour Change Techniques (BCTs) and other intervention features were associated with maintenance. METHODS Six databases (Medline, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, CINAHL, Web of Science) were systematically searched. Eligibility criteria were controlled trials investigating the effectiveness of PA interventions with adult (mean age 18-64 years) non-clinical populations using validated measures of PA behaviour at baseline and ≥six months' post-baseline. Results were pooled in meta-analyses using standardised mean differences (SMD) at five time intervals (6-9, 9-15, 15-21, 21-24, >24 months). Moderator analyses investigated the influence of sample and intervention characteristics on PA maintenance at 6-9 months. RESULTS Sixty-two studies were included. PA interventions had a significant effect on behaviour maintenance 6-15 months post-baseline relative to controls. Interventions had a larger effect on maintenance at 6-9 months (SMD = 0.28; 95% CI: 0.20, 0.35; I2 = 73%) compared to 9-15 months (SMD = 0.20; 95% CI: 0.13, 0.26; I2 = 70%). Beyond 15 months, PA measurements were infrequent with little evidence supporting maintenance. Moderator analyses showed some BCTs and intervention settings moderated PA outcomes at 6-9 months. A multivariable meta-regression model showed interventions using the BCTs 'Prompt self-monitoring of behavioural outcome' (b = 1.46, p < 0.01) and 'Use of follow-up prompts' (b = 0.38, p < 0.01) demonstrated greater effectiveness at promoting PA maintenance at 6-9 months. Interventions implemented in primary care (versus community or workplace/university) settings (b = -0.13, p = 0.10) tended to demonstrate less effectiveness. CONCLUSIONS This review provides evidence of some effective BCTs for maintaining behaviour to 15 months. Greater consideration must be given to how future interventions encourage and measure maintenance of changes, and investigate broader psychological, social and environmental influences of PA behaviour. PROSPERO REGISTRATION PROSPERO 2015:CRD42015025462.
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Affiliation(s)
- Jennifer M Murray
- UKCRC Centre of Excellence for Public Health/Centre for Public Health Queen's University Belfast, School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science B, Royal Victoria Hospital, Grosvenor Road, Belfast, BT 12 6BJ, UK.
| | - Sarah F Brennan
- UKCRC Centre of Excellence for Public Health/Centre for Public Health Queen's University Belfast, School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science B, Royal Victoria Hospital, Grosvenor Road, Belfast, BT 12 6BJ, UK.
| | - David P French
- Manchester Centre of Health Psychology, School of Health Sciences, University of Manchester, UK.
| | - Christopher C Patterson
- UKCRC Centre of Excellence for Public Health/Centre for Public Health Queen's University Belfast, School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science B, Royal Victoria Hospital, Grosvenor Road, Belfast, BT 12 6BJ, UK.
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health/Centre for Public Health Queen's University Belfast, School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science B, Royal Victoria Hospital, Grosvenor Road, Belfast, BT 12 6BJ, UK.
| | - Ruth F Hunter
- UKCRC Centre of Excellence for Public Health/Centre for Public Health Queen's University Belfast, School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science B, Royal Victoria Hospital, Grosvenor Road, Belfast, BT 12 6BJ, UK.
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Abstract
We argue that the active ingredients of behaviour change interventions, often called behaviour change methods (BCMs) or techniques (BCTs), can usefully be placed on a dimension of psychological aggregation. We introduce evolutionary learning processes (ELPs) as fundamental building blocks that are on a lower level of psychological aggregation than BCMs/BCTs. A better understanding of ELPs is useful to select the appropriate BCMs/BCTs to target determinants of behaviour, or vice versa, to identify potential determinants targeted by a given BCM/BCT, and to optimally translate them into practical applications. Using these insights during intervention development may increase the likelihood of developing effective interventions - both in terms of behaviour change as well as maintenance of behaviour change.
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Affiliation(s)
- Rik Crutzen
- a Department of Health Promotion , Maastricht University/CAPHRI , Maastricht , Netherlands
| | - Gjalt-Jorn Ygram Peters
- b Faculty of Psychology and Education Science , Open University of the Netherlands , Heerlen , Netherlands.,c Department of Work and Social Psychology, Faculty of Psychology and Neuroscience , Maastricht University , Maastricht , Netherlands
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Ball K, Hunter RF, Maple JL, Moodie M, Salmon J, Ong KL, Stephens LD, Jackson M, Crawford D. Can an incentive-based intervention increase physical activity and reduce sitting among adults? the ACHIEVE (Active Choices IncEntiVE) feasibility study. Int J Behav Nutr Phys Act 2017; 14:35. [PMID: 28320409 PMCID: PMC5359829 DOI: 10.1186/s12966-017-0490-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 03/08/2017] [Indexed: 11/10/2022] Open
Abstract
Background Despite recent interest in the potential of incentivisation as a strategy for motivating healthier behaviors, little remains known about the effectiveness of incentives in promoting physical activity and reducing sedentary behavior, and improving associated health outcomes. This pre-post-test design study investigated the feasibility, appeal and effects of providing non-financial incentives for promoting increased physical activity, reduced sedentary time, and reduced body mass index (BMI) and blood pressure among inactive middle-aged adults. Methods Inactive men (n = 36) and women (n = 46) aged 40–65 years were recruited via a not-for-profit insurance fund and participated in a 4 month pre-post design intervention. Baseline and post-intervention data were collected on self-reported physical activity and sitting time (IPAQ-Long), BMI and blood pressure. Participants were encouraged to increase physical activity to 150 mins/week and reduce sedentary behavior by 150 mins/week in progressive increments. Incentives included clothing, recipe books, store gift vouchers, and a chance to win one of four Apple iPad Mini devices. The incentive component of the intervention was supported by an initial motivational interview and text messaging to encourage participants and provide strategies to increase physical activity and reduce sedentary behaviors. Results Only two participants withdrew during the program, demonstrating the feasibility of recruiting and retaining inactive middle-aged participants. While two-thirds of the sample qualified for the easiest physical activity incentive (by demonstrating 100 mins physical activity/week or 100 mins reduced sitting time/week), only one third qualified for the most challenging incentive. Goals to reduce sitting appeared more challenging, with 43% of participants qualifying for the first incentive, but only 20% for the last incentive. More men than women qualified for most incentives. Mean leisure-time physical activity increased by 252 mins/week (leisure-time), with 65% of the sample achieving at least 150 mins/week; and sitting time decreased by 3.1 h/day (both p < 0.001) between baseline and follow-up. BMI, systolic and diastolic (men only) blood pressure all significantly decreased. Most participants (50–85%) reported finding the incentives and other program components helpful/motivating. Conclusions Acknowledging the uncontrolled design, the large pre-post changes in behavioral and health-related outcomes suggest that the ACHIEVE incentives-based behavior change program represents a promising approach for promoting physical activity and reducing sitting, and should be tested in a randomized controlled trial. Trial registration Australian New Zealand Clinical Trials Registry IDACTRN12616000158460, registered 10/2/16.
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Affiliation(s)
- Kylie Ball
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia. .,Institute for Physical Activity and Nutrition, Deakin University, 221 Burwood Highway, Burwood, 3125, VIC, Australia.
| | - Ruth F Hunter
- UKCRC Centre of Excellence for Public Health Research Northern Ireland, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Jaimie-Lee Maple
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
| | - Marj Moodie
- Deakin Health Economics, Centre for Population Health Research, Faculty of Health, Deakin University, Geelong, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
| | - Kok-Leong Ong
- La Trobe Business School, La Trobe University, Bundoora, VIC, Australia
| | - Lena D Stephens
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
| | - Michelle Jackson
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
| | - David Crawford
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
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Dombrowski SU, O'Carroll RE, Williams B. Form of delivery as a key 'active ingredient' in behaviour change interventions. Br J Health Psychol 2017; 21:733-740. [PMID: 27709824 DOI: 10.1111/bjhp.12203] [Citation(s) in RCA: 115] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | - Ronan E O'Carroll
- Division of Psychology, School of Natural Sciences, University of Stirling, UK
| | - Brian Williams
- Nursing, Midwifery and Allied Health Professions Research Unit, University of Stirling, UK
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Lin RM, Xie SS, Yan YW, Chen YH, Yan WJ. Perfectionism and adolescent sleep quality: The mediating role of repetitive negative thinking. J Health Psychol 2017; 24:1626-1636. [DOI: 10.1177/1359105317693914] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
This study explores the mediating effects of repetitive negative thinking in the relationship between perfectionism and adolescent sleep quality. A sample of 1664 Chinese adolescents with a mean age of 15.0 years was recruited, and they completed four measures relating to perfectionism, sleep quality, worry, and rumination. The results showed that maladaptive perfectionism was positively correlated with poor sleep quality in adolescents, which was mediated by both worry and rumination. However, adaptive perfectionism was not significantly associated with adolescent sleep quality, and this relationship was suppressed by rumination (but not worry). The implications of these results are also discussed.
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Lovell CM. 5-2-1-0 Activity and Nutrition Challenge for Elementary Students: New, Evidence-Based, Promising. J Sch Nurs 2017; 34:98-107. [PMID: 28128034 DOI: 10.1177/1059840517689893] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Obesity prevention in youth is a health priority, and teaching healthy habits toward this end is one of a school nurse's many responsibilities. A school nurse developed and implemented a school-wide, 2-week-long Activity and Nutrition Challenge (ANC) using the evidence-based 5-2-1-0 initiative to prevent and fight childhood obesity. Despite minimal promotion, nearly half of the students at two elementary schools participated and earned points by following the guidelines in the ANC. The amount of chocolate milk consumed by students dropped significantly during the ANC, showing that the healthy behavior of choosing beverages without added sugar had been positively impacted. Anecdotal evidence suggested positive changes in other healthy behaviors as well. This ANC was a new way for a school nurse to teach healthy habits to a large group of children in a short period of time, with limited extra work, and with promising results.
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Hunter RF, Brennan SF, Tang J, Smith OJ, Murray J, Tully MA, Patterson C, Longo A, Hutchinson G, Prior L, French DP, Adams J, McIntosh E, Kee F. Effectiveness and cost-effectiveness of a physical activity loyalty scheme for behaviour change maintenance: a cluster randomised controlled trial. BMC Public Health 2016; 16:618. [PMID: 27448663 PMCID: PMC4957294 DOI: 10.1186/s12889-016-3244-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Accepted: 06/29/2016] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Increasing physical activity in the workplace can provide employee physical and mental health benefits, and employer economic benefits through reduced absenteeism and increased productivity. The workplace is an opportune setting to encourage habitual activity. However, there is limited evidence on effective behaviour change interventions that lead to maintained physical activity. This study aims to address this gap and help build the necessary evidence base for effective, and cost-effective, workplace interventions. METHODS/DESIGN This cluster randomised control trial will recruit 776 office-based employees from public sector organisations in Belfast and Lisburn city centres, Northern Ireland. Participants will be randomly allocated by cluster to either the Intervention Group or Control Group (waiting list control). The 6-month intervention consists of rewards (retail vouchers, based on similar principles to high street loyalty cards), feedback and other evidence-based behaviour change techniques. Sensors situated in the vicinity of participating workplaces will promote and monitor minutes of physical activity undertaken by participants. Both groups will complete all outcome measures. The primary outcome is steps per day recorded using a pedometer (Yamax Digiwalker CW-701) for 7 consecutive days at baseline, 6, 12 and 18 months. Secondary outcomes include health, mental wellbeing, quality of life, work absenteeism and presenteeism, and use of healthcare resources. Process measures will assess intervention "dose", website usage, and intervention fidelity. An economic evaluation will be conducted from the National Health Service, employer and retailer perspective using both a cost-utility and cost-effectiveness framework. The inclusion of a discrete choice experiment will further generate values for a cost-benefit analysis. Participant focus groups will explore who the intervention worked for and why, and interviews with retailers will elucidate their views on the sustainability of a public health focused loyalty card scheme. DISCUSSION The study is designed to maximise the potential for roll-out in similar settings, by engaging the public sector and business community in designing and delivering the intervention. We have developed a sustainable business model using a 'points' based loyalty platform, whereby local businesses 'sponsor' the incentive (retail vouchers) in return for increased footfall to their business. TRIAL REGISTRATION ISRCTN17975376 (Registered 19/09/2014).
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Affiliation(s)
- Ruth F. Hunter
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Institute of Clinical Sciences B, Royal Victoria Hospital, Queen’s University Belfast, Grosvenor Road, Belfast, BT12 6BJ Northern Ireland
| | - Sarah F. Brennan
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
| | - Jianjun Tang
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
| | - Oliver J. Smith
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
| | - Jennifer Murray
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
| | - Mark A. Tully
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
| | - Chris Patterson
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
| | - Alberto Longo
- />School of Biological Sciences/UKCRC Centre of Excellence for Public Health Research (NI), Queen’s University Belfast, Belfast, Northern Ireland
| | - George Hutchinson
- />School of Biological Sciences/UKCRC Centre of Excellence for Public Health Research (NI), Queen’s University Belfast, Belfast, Northern Ireland
| | - Lindsay Prior
- />School of Sociology, Social Policy and Social Work/UKCRC Centre of Excellence for Public Health Research (NI), Queen’s University Belfast, Belfast, Northern Ireland
| | - David P. French
- />School of Psychological Sciences, University of Manchester, Manchester, England
| | - Jean Adams
- />Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, England
| | - Emma McIntosh
- />Health Economics and Health Technology Assessment, University of Glasgow, Glasgow, Scotland
| | - Frank Kee
- />UKCRC Centre of Excellence for Public Health Research (NI)/Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
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