Capability, opportunity, and motivation: an across contexts empirical examination of the COM-B model
Open accessAbstract
Background: There is limited evidence for successful weight gain prevention interventions targeting young adults. Developing effective interventions necessitates a theoretical model that can identify barriers and enablers for healthy eating and physical activity among young adults to support weight management. This study empirically examines the utility of the COM-B model as a framework for intervention planning across two behavioural contexts: eating and physical activity. Methods: A cross-sectional survey research design was employed to empirically test the COM-B model in the contexts of young adult’s eating and physical activity behaviours. Informed by the Theoretical Domains Framework, pre-validated measures appropriate for capturing the latency of the COM (Capability, Opportunity, and Motivation) constructs were sourced. Both surveys (eating and physical activity) were administered online to two independent samples of young adults aged 18–35 years. Models were specified and tested using structural equation modelling. Results: A total of 582 (mean age = 22.8 years; 80.3% female) and 455 (mean age = 24.9 years; 80.8% female) participants were included in the physical activity and eating analyses, respectively. The COM-B model explained 31% of variance in physical activity behaviour and 23% of variance in eating behaviour. In the physical activity model ( N = 582), capability and opportunity were found to be associated with behaviour through the mediating effect of motivation. In the eating model ( N = 455), capability was found to be associated with behaviour through the mediating effect of motivation. Capability was also found to mediate the association between opportunity and motivation. Consistencies and variations were observed across both models in terms of COM indicators. Conclusions: Findings support the COM-B model’s explanatory potential in the context of young adult’s physical activity and eating behaviours. Barriers and enablers underlying young adult’s physical activity and eating behaviours were identified that represent potential targets for future intervention design. Further research is needed to validate present study findings across different populations and settings.
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Literature suggests using BCTT with behaviour change theories and frameworks, such as goal setting theory, TTM, TRA, and COM-B framework, for more effective and sustainable behaviour change.
“Literature suggests using BCTT with behaviour change theories and frameworks, such as goal setting theory, TTM, TRA, and Capability, Opportunity, Motivation-Behaviour (COM-B) framework, for more effective and sustainable behaviour change [64–67].”
From School-based healthy eating interventions for adolescents aged 10–19 years: an umbrella review (2024) · cites this paper as [67]
The Background and Discussion > Implications for practice (pages unavailable) support using theory to design interventions and suggest mapping behavioural strategies to COM-B constructs. The paper does not specifically recommend using the Behaviour Change Technique Taxonomy (BCTT) with these frameworks or establish that doing so produces more effective and sustainable behaviour change; it says the effectiveness of an intervention based on its findings cannot yet be guaranteed. (LLM, conf=0.85)
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior
Deci, E. L., & Ryan, R. M. (2000) · Psychological Inquiry · doi:10.1207/s15327965pli1104_01 · Cited by 34,210 · see citing works
Michie, S., van Stralen, M. M., & West, R. (2011) · Implementation Science · doi:10.1186/1748-5908-6-42 · Cited by 13,697 · see citing works
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970 · see citing works
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003) · Department of Psychology - University of Koblenz-Landau · doi:10.23668/psycharchives.12784 · Cited by 8,975 · see citing works
Cane, J., O’Connor, D., & Michie, S. (2012) · Implementation Science · doi:10.1186/1748-5908-7-37 · Cited by 4,888 · cited 4× · see citing works
“Measures were informed by the Theoretical Domains Framework (TDF) [78], with domains mapped onto COM constructs (see Additional File 1).”
MethodInfluentialLee, P. H., Macfarlane, D. J., Lam, T., & Stewart, S. M. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-115 · Cited by 3,370 · see citing works
Global burden of disease in young people aged 10–24 years: a systematic analysis
Gore, F. M., Bloem, P. J., Patton, G. C., Ferguson, J., Joseph, V., Coffey, C., Sawyer, S. M., & Mathers, C. D. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60512-6 · Cited by 2,301 · cited 1× · see citing works
“Young adults are typically less concerned with their future health and wellbeing, and as a result, engage in more risky health behaviours [34].”
BackgroundObesity and the Environment: Where Do We Go from Here?
Hill, J. O., Wyatt, H. R., Reed, G. W., & Peters, J. C. (2003) · Science · doi:10.1126/science.1079857 · Cited by 2,180 · see citing works
How can I deal with missing data in my study?
Bennett, D. A. (2001) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.2001.tb00294.x · Cited by 1,656 · see citing works
A Meta-Analysis of the Effectiveness of Health Belief Model Variables in Predicting Behavior
Carpenter, C. J. (2010) · Health Communication · doi:10.1080/10410236.2010.521906 · Cited by 1,604 · see citing works
Davis, R., Campbell, R., Hildon, Z., Hobbs, L., & Michie, S. (2015) · Health Psychology Review · doi:10.1080/17437199.2014.941722 · Cited by 1,411 · see citing works
Sniehotta, F. F., Scholz, U., & Schwarzer, R. (2005) · Psychology & Health · doi:10.1080/08870440512331317670 · Cited by 1,350 · see citing works
Emerging adulthood and college-aged youth: An overlooked age for weight-related behavior change
Nelson, M. C., Story, M., Larson, N. I., Neumark‐Sztainer, D., & Lytle, L. A. (2008) · Obesity · doi:10.1038/oby.2008.365 · Cited by 1,314 · see citing works
Are interventions theory-based? Development of a theory coding scheme.
Michie, S., & Prestwich, A. (2010) · Health Psychology · doi:10.1037/a0016939 · Cited by 855 · see citing works
West, R., & Brown, J. (2013) · doi:10.1002/9781118484890 · Cited by 816 · see citing works
Physical Activity and Other Health-Risk Behaviors During the Transition Into Early Adulthood
Kwan, M. Y., Cairney, J., Faulkner, G. E., & Pullenayegum, E. E. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.08.026 · Cited by 429 · see citing works
The importance of habits in eating behaviour. An overview and recommendations for future research
Riet, J. V., Sijtsema, S. J., Dagevos, H., & De Bruijn, G.-J. (2011) · Appetite · doi:10.1016/j.appet.2011.07.010 · Cited by 399 · see citing works
Kamath, C. C., Vickers, K. S., Ehrlich, A., McGovern, L., Johnson, J., Singhal, V., Paulo, R., Hettinger, A., Erwin, P. J., & Montori, V. M. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-2411 · Cited by 395 · see citing works
Rothman, A. J. (2004) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-1-11 · Cited by 322 · see citing works
Oosterveen, E., Tzelepis, F., Ashton, L., & Hutchesson, M. J. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.01.009 · Cited by 156 · see citing works
Flagged first, then by citations
Research works printed but not linked: 96
- [1]Flegal KM Kruszon-Moran D Carroll MD Fryar CD Ogden CL Trends in obesity among adults in the United States, 2005 to 2014 JAMA. 2016 315 21 2284 2291 10.1001/jama.2016.6458 27272580 PMC11197437 · DOI · Paper page
- [2]Zheng Y Manson JE Yuan C Liang MH Grodstein F Stampfer MJ Associations of weight gain from early to middle adulthood with major health outcomes later in life JAMA. 2017 318 3 255 269 10.1001/jama.2017.7092 28719691 PMC5817436 · DOI
- [3]Adams KF Leitzmann MF Ballard-Barbash R Albanes D Harris TB Hollenbeck A Kipnis V Body mass and weight change in adults in relation to mortality risk Am J Epidemiol 2014 179 2 135 144 10.1093/aje/kwt254 24173550 PMC3873112 · DOI
- [4]De Mutsert R Sun Q Willett WC Hu FB Van Dam RM Overweight in early adulthood, adult weight change, and risk of type 2 diabetes, cardiovascular diseases, and certain cancers in men: a cohort study Am J Epidemiol 2014 179 11 1353 1365 10.1093/aje/kwu052 24786797 PMC4036209 · DOI
- [7]Hankinson AL Daviglus ML Bouchard C Carnethon M Lewis CE Schreiner PJ Liu K Sidney S Maintaining a high physical activity level over 20 years and weight gain JAMA. 2010 304 23 2603 2610 10.1001/jama.2010.1843 21156948 PMC3864556 · DOI
- [8]Whatnall MC, Patterson AJ, Brookman S, Convery P, Swan C, Pease S, et al. Lifestyle behaviors and related health risk factors in a sample of Australian university students. J Am Coll Heal. 2019:1–8. 31140957
- [10]De Cocker KA van Uffelen JGZ Brown WJ Associations between sitting time and weight in young adult Australian women Prev Med 2010 51 5 361 367 10.1016/j.ypmed.2010.07.009 20638408 · DOI
- [11]McVeigh JA Winkler EAH Howie EK Tremblay MS Smith A Abbott RA Objectively measured patterns of sedentary time and physical activity in young adults of the Raine study cohort Int J Behav Nutr Phys Act 2016 13 1 41 10.1186/s12966-016-0363-0 27009327 PMC4806520 · DOI
- [12]Larson N Neumark-Sztainer D Laska MN Story M Young adults and eating away from home: associations with dietary intake patterns and weight status differ by choice of restaurant J Am Diet Assoc 2011 111 11 1696 1703 10.1016/j.jada.2011.08.007 22027052 PMC3230226 · DOI
- [13]Duffey KJ Gordon-Larsen P Steffen L Jacobs DR Popkin BM Drinking caloric beverages increases the risk of adverse cardiometabolic outcomes in the coronary artery risk development in young adults (CARDIA) study Am J Clin Nutr 2010 92 4 954 959 10.3945/ajcn.2010.29478 20702604 PMC2937591 · DOI
- [14]Sherwood NE Jeffery RW French SA Hannan PJ Murray DM Predictors of weight gain in the pound of prevention study Int J Obes 2000 24 4 395 403 10.1038/sj.ijo.0801169 10805494 · DOI · Paper page
- [15]Kimmons J Gillespie C Seymour J Serdula M Blanck HM Fruit and vegetable intake among adolescents and adults in the United States: percentage meeting individualized recommendations Medscape J Med 2009 11 1 26 19295947 PMC2654704
- [16]Imamura F Micha R Khatibzadeh S Fahimi S Shi P Powles J Mozaffarian D Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE) Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment Lancet Glob Health 2015 3 3 e132 ee42 10.1016/S2214-109X(14)70381-X 25701991 PMC4342410 · DOI · Paper page
- [17]Winpenny EM van Sluijs EMF White M Klepp K Wold B Lien N Changes in diet through adolescence and early adulthood: longitudinal trajectories and association with key life transitions Int J Behav Nutr Phys Act 2018 15 1 86 89 10.1186/s12966-018-0719-8 30200990 PMC6131755 · DOI
- [18]Winpenny EM Smith M Penney T Foubister C Guagliano JM Love R Changes in physical activity, diet, and body weight across the education and employment transitions of early adulthood: A systematic review and meta-analysis Obes Rev 2020 21 4 e12962 10.1111/obr.12962 31955496 PMC7079102 · DOI
- [19]Winpenny EM Penney TL Corder K White M van Sluijs EMF Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies Int J Behav Nutr Phys Act 2017 14 1 1 16 10.1186/s12966-017-0518-7 28472992 PMC5418762 · DOI
- [20]Deforche B Van Dyck D Deliens T De Bourdeaudhuij I Changes in weight, physical activity, sedentary behaviour and dietary intake during the transition to higher education: A prospective study Int J Behav Nutr Phys Act 2015 12 1 16 10.1186/s12966-015-0173-9 25881147 PMC4332914 · DOI
- [21]Thompson NR Asare M Millan C Umstattd Meyer MR Theory of planned behavior and perceived role model as predictors of nutrition and physical activity behaviors among college students in health-related disciplines J Community Health 2020 45 5 965 972 10.1007/s10900-020-00814-y 32306182 · DOI
- [22]Spring B Moller AC Colangelo LA Siddique J Roehrig M Daviglus ML Polak JF Reis JP Sidney S Liu K Healthy lifestyle change and subclinical atherosclerosis in young adults: coronary artery risk development in young adults (CARDIA) study Circulation. 2014 130 1 10 17 10.1161/CIRCULATIONAHA.113.005445 24982115 PMC4615574 · DOI
- [23]Partridge SR Juan SJH McGeechan K Bauman A Allman-Farinelli M Poor quality of external validity reporting limits generalizability of overweight and/or obesity lifestyle prevention interventions in young adults: a systematic review Obes Rev 2015 16 1 13 31 10.1111/obr.12233 25407633 · DOI
- [24]Hutchesson MJ Hulst J Collins CE Weight management interventions targeting young women: a systematic review J Acad Nutr Diet 2013 113 6 795 802 10.1016/j.jand.2013.01.015 23473986 · DOI
- [25]Hebden L Chey T Allman-Farinelli M Lifestyle intervention for preventing weight gain in young adults: a systematic review and meta-analysis of RCTs Obes Rev 2012 13 8 692 710 10.1111/j.1467-789X.2012.00990.x 22413804 · DOI
- [26]Laska MN Pelletier JE Larson NI Story M Interventions for weight gain prevention during the transition to young adulthood: a review of the literature J Adolesc Health 2012 50 4 324 333 10.1016/j.jadohealth.2012.01.016 22443834 PMC3406485 · DOI
- [27]Poobalan AS Aucott LS Precious E Crombie IK Smith WCS Weight loss interventions in young people (18 to 25 year olds): a systematic review Obes Rev 2010 11 8 580 592 10.1111/j.1467-789X.2009.00673.x 19874531 · DOI
- [29]Willmott TJ Pang B Rundle-Thiele S Badejo A Weight management in young adults: systematic review of electronic health intervention components and outcomes J Med Internet Res 2019 21 2 e10265 10.2196/10265 30724736 PMC6381405 · DOI
- [30]Willmott T Pang B Rundle-Thiele S Badejo A Reported theory use in electronic weight management interventions targeting young adults: a systematic review Health Psychol Rev 2019 13 3 295 317 10.1080/17437199.2019.1625280 31161877 · DOI
- [31]Ashton LM Sharkey T Whatnall MC Haslam RL Bezzina A Aguiar EJ Which behaviour change techniques within interventions to prevent weight gain and/or initiate weight loss improve adiposity outcomes in young adults? A systematic review and meta-analysis of randomized controlled trials Obes Rev 2020 21 6 e13009 10.1111/obr.13009 32064761 · DOI
- [32]Greaney ML Less FD White AA Dayton SF Riebe D Blissmer B Shoff S Walsh JR Greene GW College students' barriers and enablers for healthful weight management: a qualitative study J Nutr Educ Behav 2009 41 4 281 286 10.1016/j.jneb.2008.04.354 19508934 · DOI
- [33]Strong KA Parks SL Anderson E Winett R Davy BM Weight gain prevention: identifying theory-based targets for change in young adults health behavior J Am Diet Assoc 2008 108 10 1708 1715 10.1016/j.jada.2008.07.007 18926139 PMC2614557 · DOI
- [35]Andajani-Sutjahjo S Ball K Warren N Inglis V Crawford D Perceived personal, social and environmental barriers to weight maintenance among young women: A community survey Int J Behav Nutr Phys Act 2004 1 1 15 10.1186/1479-5868-1-15 15462679 PMC524367 · DOI · Paper page
- [36]Sand AS Emaus N Lian OS Motivation and obstacles for weight management among young women - a qualitative study with a public health focus - the tromso study: fit futures BMC Public Health 2017 17 1 417 411 10.1186/s12889-017-4321-9 28482855 PMC5422962 · DOI
- [37]Calamidas EG Crowell TL A content analysis of college students’ health behaviors Am J Health Educ 2018 49 3 133 146 10.1080/19325037.2018.1428699 · DOI
- [38]Gruber KJ Social support for exercise and dietary habits among college students Adolescence. 2008 43 171 557 575 19086670
- [41]Willmott T, Rundle-Thiele S. Are we speaking the same language? Call for action to improve theory application and reporting in behaviour change research. BMC Public Health. 2021;21(1):1–8. 10.1186/s12889-021-10541-1. PMC7944470 33691658 · DOI
- [43]Hardeman W Sutton S Griffin S Johnston M White A Wareham NJ Kinmonth AL A causal modelling approach to the development of theory-based behaviour change programmes for trial evaluation Health Educ Res 2005 20 6 676 687 10.1093/her/cyh022 15781446 · DOI · Paper page
- [44]Bandura A Social foundations of thought and action: A social cognitive theory 1986 Englewood Cliffs Prentice Hall
- [47]Fishbein M Ajzen I Belief, attitude, intention, and behaviour: an introduction to theory and research 1975 Reading Addison-Wesley
- [49]McEachan RRC Conner M Taylor NJ Lawton RJ Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis Health Psychol Rev 2011 5 2 97 144 10.1080/17437199.2010.521684 · DOI · Paper page
- [51]Rothman AJ Capitalizing on opportunities to refine health behavior theories Health Educ Behav 2009 36 5_suppl 150S 155S 10.1177/1090198109340514 19830884 · DOI · Paper page
- [52]Weinstein ND Rothman AJ Commentary: revitalizing research on health behavior theories Health Educ Res 2005 20 3 294 297 10.1093/her/cyg125 15632097 · DOI
- [55]Bettiga D Lamberti L Noci G Investigating social motivations, opportunity and ability to participate in communities of virtual co-creation Int J Consum Stud 2018 42 1 155 163 10.1111/ijcs.12409 · DOI
- [56]Bigné E Hernández B Ruiz C Andreu L How motivation, opportunity and ability can drive online airline ticket purchases J Air Transp Manag 2010 16 6 346 349 10.1016/j.jairtraman.2010.05.004 · DOI
- [57]Gruen TW Osmonbekov T Czaplewski AJ eWOM: the impact of customer-to-customer online know-how exchange on customer value and loyalty J Bus Res 2006 59 4 449 456 10.1016/j.jbusres.2005.10.004 · DOI
- [58]Howlett N, Schulz J, Trivedi D, Troop N, Chater A. Determinants of weekly sitting time: construct validation of an initial COM-B model and comparison of its predictive validity with the theory of planned behaviour. Psychol Health. 2020:1–19. 32403945
- [59]Howlett N Schulz J Trivedi D Troop N Chater A A prospective study exploring the construct and predictive validity of the COM-B model for physical activity J Health Psychol 2019 24 10 1378 1391 10.1177/1359105317739098 29172808 · DOI
- [60]Li D Xu XJ Chen CF Menassa C Understanding energy-saving behaviors in the American workplace: a unified theory of motivation, opportunity, and ability Energy Res Soc Sci 2019 51 198 209 10.1016/j.erss.2019.01.020 · DOI
- [61]Willmott T Parkinson J Motivation, opportunity, and ability: understanding new habits and changes adopted for weight management Int J Consum Stud 2017 41 3 291 298 10.1111/ijcs.12340 · DOI
- [62]Moorman C Matulich E A model of consumers' preventive health behaviors: the role of health motivation and health ability J Consum Res 1993 20 2 208 228 10.1086/209344 · DOI
- [65]Ng M Fleming T Robinson M Thomson B Graetz N Margono C Mullany EC Biryukov S Abbafati C Abera SF Abraham JP Abu-Rmeileh NME Achoki T AlBuhairan FS Alemu ZA Alfonso R Ali MK Ali R Guzman NA Ammar W Anwari P Banerjee A Barquera S Basu S Bennett DA Bhutta Z Blore J Cabral N Nonato IC Chang JC Chowdhury R Courville KJ Criqui MH Cundiff DK Dabhadkar KC Dandona L Davis A Dayama A Dharmaratne SD Ding EL Durrani AM Esteghamati A Farzadfar F Fay DFJ Feigin VL Flaxman A Forouzanfar MH Goto A Green MA Gupta R Hafezi-Nejad N Hankey GJ Harewood HC Havmoeller R Hay S Hernandez L Husseini A Idrisov BT Ikeda N Islami F Jahangir E Jassal SK Jee SH Jeffreys M Jonas JB Kabagambe EK Khalifa SEAH Kengne AP Khader YS Khang YH Kim D Kimokoti RW Kinge JM Kokubo Y Kosen S Kwan G Lai T Leinsalu M Li Y Liang X Liu S Logroscino G Lotufo PA Lu Y Ma J Mainoo NK Mensah GA Merriman TR Mokdad AH Moschandreas J Naghavi M Naheed A Nand D Narayan KMV Nelson EL Neuhouser ML Nisar MI Ohkubo T Oti SO Pedroza A Prabhakaran D Roy N Sampson U Seo H Sepanlou SG Shibuya K Shiri R Shiue I Singh GM Singh JA Skirbekk V Stapelberg NJC Sturua L Sykes BL Tobias M Tran BX Trasande L Toyoshima H van de Vijver S Vasankari TJ Veerman JL Velasquez-Melendez G Vlassov VV Vollset SE Vos T Wang C Wang XR Weiderpass E Werdecker A Wright JL Yang YC Yatsuya H Yoon J Yoon SJ Zhao Y Zhou M Zhu S Lopez AD Murray CJL Gakidou E Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the global burden of disease study 2013 Lancet 2014 384 9945 766 781 10.1016/S0140-6736(14)60460-8 24880830 PMC4624264 · DOI · Paper page
- [66]Ng R Sutradhar R Yao Z Wodchis WP Rosella LC Smoking, drinking, diet and physical activity—modifiable lifestyle risk factors and their associations with age to first chronic disease Int J Epidemiol 2020 49 1 113 130 10.1093/ije/dyz078 31329872 PMC7124486 · DOI
- [67]Gill T King L Caterson I Obesity prevention: necessary and possible. A structured approach for effective planning Proc Nutr Soc 2005 64 2 255 261 10.1079/PNS2005425 15960870 · DOI
- [70]Kitzmann KM Dalton WT Stanley CM Beech BM Reeves TP Buscemi J Egli CJ Gamble HL Midgett EL Lifestyle interventions for youth who are overweight: a meta-analytic review Health Psychol 2010 29 1 91 101 10.1037/a0017437 20063940 · DOI
- [71]van Hoek E Feskens EJM Bouwman LI Janse AJ Effective interventions in overweight or obese young children: systematic review and meta-analysis Child Obes 2014 10 6 448 460 10.1089/chi.2013.0149 25333421 · DOI
- [72]Cho YI Johnson TP VanGeest JB Enhancing surveys of health care professionals: a meta-analysis of techniques to improve response Eval Health Prof 2013 36 3 382 407 10.1177/0163278713496425 23975761 · DOI
- [73]Singer E Ye C The use and effects of incentives in surveys Ann Am Acad Polit Soc Sci 2013 645 1 112 141 10.1177/0002716212458082 · DOI
- [74]Singer E Couper MP Do incentives exert undue influence on survey participation? Experimental evidence J Emp Res Hum Res Ethics 2008 3 3 49 56 10.1525/jer.2008.3.3.49 PMC2600442 19385770 · DOI
- [75]Kelley K Clark B Brown V Sitzia J Good practice in the conduct and reporting of survey research Int J Qual Health Care 2003 15 3 261 266 10.1093/intqhc/mzg031 12803354 · DOI
- [79]Craig CL Marshall AL Sjöström M Bauman AE Booth ML Ainsworth BE International physical activity questionnaire: 12-country reliability and validity Med Sci Sports Exerc 2003 35 8 1381 1395 10.1249/01.MSS.0000078924.61453.FB 12900694 · DOI · Paper page
- [80]van Poppel MNM Chin A Paw MJM Mokkink LB van Mechelen W Terwee CB Physical activity questionnaires for adults: a systematic review of measurement properties Sports Med 2010 40 7 565 600 10.2165/11531930-000000000-00000 20545381 · DOI
- [82]Duncan MJ Kline CE Vandelanotte C Sargent C Rogers NL Di Milia L Cross-sectional associations between multiple lifestyle behaviors and health-related quality of life in the 10,000 steps cohort PLoS One 2014 9 4 e94184 10.1371/journal.pone.0094184 24714564 PMC3979761 · DOI
- [83]Haapasalo V de Vries H Vandelanotte C Rosenkranz RR Duncan MJ Cross-sectional associations between multiple lifestyle behaviours and excellent well-being in Australian adults Prev Med 2018 116 119 125 10.1016/j.ypmed.2018.09.003 30218725 · DOI
- [84]O'Reilly SL McCann LR Development and validation of the diet quality tool for use in cardiovascular disease prevention settings Austr J Prim Health 2012 18 2 138 147 10.1071/PY11005 22551836 · DOI
- [85]Anderson JC Gerbing DW Structural equation modeling in practice: a review and recommended two-step approach Psychol Bull 1988 103 3 411 423 10.1037/0033-2909.103.3.411 · DOI · Paper page
- [87]Browne MW Cudeck R Bollen KA Long JS Alternative ways of assessing model fit Testing structural equation models 1ed 1993 Newbury Park SAGE Publications 136 162
- [88]Hu L Bentler PM Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives Struct Equ Model Multidiscip J 1999 6 1 1 55 10.1080/10705519909540118 · DOI · Paper page
- [90]Hair JF Multivariate data analysis: a global perspective 2010 7 Upper Saddle River Pearson
- [91]Fornell C Larcker DF Evaluating structural equation models with unobservable variables and measurement error J Mark Res 1981 18 1 39 50 10.1177/002224378101800104 · DOI · Paper page
- [93]Hagger MS Chatzisarantis NLD Biddle SJH A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: predictive validity and the contribution of additional variables J Sport Exer Psychol 2002 24 1 3 32 10.1123/jsep.24.1.3 · DOI
- [94]Plotnikoff RC Costigan SA Karunamuni N Lubans DR Social cognitive theories used to explain physical activity behavior in adolescents: a systematic review and meta-analysis Prev Med 2013 56 5 245 253 10.1016/j.ypmed.2013.01.013 23370047 · DOI
- [95]Tate DF Lytle LA Sherwood NE Haire-Joshu D Matheson D Moore SM Loria CM Pratt C Ward DS Belle SH Michie S Deconstructing interventions: approaches to studying behavior change techniques across obesity interventions Transl Behav Med 2016 6 2 236 243 10.1007/s13142-015-0369-1 27356994 PMC4927444 · DOI
- [97]de Bruijn G Verkooijen K de Vries NK van den Putte B Antecedents of self identity and consequences for action control: an application of the theory of planned behaviour in the exercise domain Psychol Sport Exerc 2012 13 6 771 778 10.1016/j.psychsport.2012.05.008 · DOI
- [99]Hagger MS Habit and physical activity: theoretical advances, practical implications, and agenda for future research Psychol Sport Exerc 2018 42 118 129 10.1016/j.psychsport.2018.12.007 · DOI
- [100]Gardner B Lally P Does intrinsic motivation strengthen physical activity habit? Modeling relationships between self-determination, past behaviour, and habit strength J Behav Med 2013 36 5 488 497 10.1007/s10865-012-9442-0 22760451 · DOI
- [101]Ball K Jeffery RW Abbott G McNaughton SA Crawford D Is healthy behavior contagious: Associations of social norms with physical activity and healthy eating Int J Behav Nutr Phys Act 2010 7 1 86 10.1186/1479-5868-7-86 21138550 PMC3018448 · DOI
- [102]Anderson ES Wojcik JR Winett RA Williams DM Social-cognitive determinants of physical activity: the influence of social support, self-efficacy, outcome expectations, and self-regulation among participants in a church-based health promotion study Health Psychol 2006 25 4 510 520 10.1037/0278-6133.25.4.510 16846326 · DOI
- [103]Courneya KS Plotnikoff RC Hotz SB Birkett NJ Social support and the theory of planned behavior in the exercise domain Am J Health Behav 2000 24 4 300 308 10.5993/AJHB.24.4.6 · DOI
- [104]Rhodes RE Jones LW Courneya KS Extending the theory of planned behavior in the exercise domain: a comparison of social support and subjective norm Res Q Exerc Sport 2002 73 2 193 199 10.1080/02701367.2002.10609008 12092894 · DOI
- [105]Halonen JI Stenholm S Kivimäki M Pentti J Subramanian SV Kawachi I Vahtera J Is change in availability of sports facilities associated with change in physical activity? A prospective cohort study Prev Med 2015 73 10 14 10.1016/j.ypmed.2015.01.012 25602907 · DOI
- [106]Hagger MS Chatzisarantis NLD Self-identity and the theory of planned behaviour: between-and within-participants analyses Br J Soc Psychol 2006 45 4 731 757 10.1348/014466605X85654 17393878 · DOI
- [107]Rise J Sheeran P Hukkelberg S The role of self-identity in the theory of planned behavior: a meta-analysis J Appl Soc Psychol 2010 40 5 1085 1105 10.1111/j.1559-1816.2010.00611.x · DOI · Paper page
- [108]Stryker S Burke PJ The past, present, and future of an identity theory Soc Psychol Q 2000 63 4 284 297 10.2307/2695840 · DOI · Paper page
- [109]Yun D Silk KJ Social norms, self-identity, and attention to social comparison information in the context of exercise and healthy diet behavior Health Commun 2011 26 3 275 285 10.1080/10410236.2010.549814 21400325 · DOI
- [110]Stets JE Burke PJ Identity theory and social identity theory Soc Psychol Q 2000 63 3 224 237 10.2307/2695870 · DOI · Paper page
- [111]Strachan SM Brawley LR Woodgate J Tse A The relationship of self-efficacy and self-identity to long-term maintenance of vigorous physical activity J Appl Biobehav Res 2005 10 2 98 112 10.1111/j.1751-9861.2005.tb00006.x · DOI
- [112]Strachan SM Perras MGM Brawley LR Spink KS Exercise in challenging times: the predictive utility of identity, self-efficacy, and past exercise Sport Exerc Perform Psychol 2016 5 3 247 258 10.1037/spy0000064 · DOI
- [113]Strachan SM Brawley LR Healthy-eater identity and self-efficacy predict healthy eating behavior: a prospective view J Health Psychol 2009 14 5 684 695 10.1177/1359105309104915 19515684 · DOI
- [114]Bauman AE Reis RS Sallis JF Wells JC Ruth JFL Martin BW Physical activity 2: correlates of physical activity: why are some people physically active and others not? Lancet 2012 380 9838 258 271 10.1016/S0140-6736(12)60735-1 22818938 · DOI · Paper page
- [115]Parkinson J David P Rundle-Thiele S Self-efficacy or perceived behavioural control: which influences consumers' physical activity and healthful eating behaviour maintenance? J Consum Behav 2017 16 5 413 423 10.1002/cb.1641 · DOI
- [116]Reyes Fernández B Warner LM Knoll N Montenegro Montenegro E Schwarzer R Synergistic effects of social support and self-efficacy on dietary motivation predicting fruit and vegetable intake Appetite. 2015 87 330 335 10.1016/j.appet.2014.12.223 25576023 · DOI
- [117]Zhou G Gan Y Hamilton K Schwarzer R The role of social support and self-efficacy for planning fruit and vegetable intake J Nutr Educ Behav 2016 49 2 100 106 10.1016/j.jneb.2016.09.005 27780668 · DOI
- [118]Clarke P O'Malley PM Johnston LD Schulenberg JE Social disparities in BMI trajectories across adulthood by gender, race/ethnicity and lifetime socio-economic position: 1986-2004 Int J Epidemiol 2009 38 2 499 509 10.1093/ije/dyn214 18835869 PMC2663716 · DOI
- [119]Hernandez DC Pressler E Accumulation of childhood poverty on young adult overweight or obese status: race/ethnicity and gender disparities J Epidemiol Community Health 2014 68 5 478 484 10.1136/jech-2013-203062 24391207 · DOI
- [122]Maher CA Lewis LK Ferrar K Marshall S De Bourdeaudhuij I Vandelanotte C Are health behavior change interventions that use online social networks effective? A systematic review Diab Technol Ther 2015 17 S61 SS2 PMC3936265 24550083
- [123]Robertson LM Douglas F Ludbrook A Reid G Van Teijlingen E What works with men? A systematic review of health promoting interventions targeting men BMC Health Serv Res 2008 8 1 141 10.1186/1472-6963-8-141 18598339 PMC2483970 · DOI
- [124]Robson C Robson C Surveys and questionnaires Real world research: A resource for users of social research methods in applied settings 2011 Hoboken Wiley 235 245
- [125]Jahedi S Méndez F On the advantages and disadvantages of subjective measures J Econ Behav Organ 2014 98 97 114 10.1016/j.jebo.2013.12.016 · DOI
Cited by
Sorted by citations
Meredith, S. J., Cox, N. J., Ibrahim, K., Higson, J., McNiff, J., Mitchell, S., Rutherford, M., Wijayendran, A., Shenkin, S. D., Kilgour, A. H. M., et al. (2023) · Age and Ageing · doi:10.1093/ageing/afad145 · Cited by 267 · see citing works
Behavioral and Psychological Factors Affecting Weight Loss Success
Pigsborg, K., Kalea, A. Z., De Dominicis, S., & Magkos, F. (2023) · Current Obesity Reports · doi:10.1007/s13679-023-00511-6 · Cited by 43 · see citing works
School-based healthy eating interventions for adolescents aged 10–19 years: an umbrella review
Samad, N., Bearne, L., Noor, F. M., Akter, F., & Parmar, D. (2024) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-024-01668-6 · Cited by 41 · see citing works
“Literature suggests using BCTT with behaviour change theories and frameworks, such as goal setting theory, TTM, TRA, and Capability, Opportunity, Motivation-Behaviour (COM-B) framework, for more effective and sustainable behaviour change [64–67].”
Method
- Authors
- Willmott, T. J., Pang, B., & Rundle-Thiele, S.
- Affiliations
- Griffith University (AU)
- Corresponding author
- Willmott, Taylor Jade
- Venue
- BMC Public Health
- Published
- 2021-05-29
- Volume
- 21
- Issue
- 1
- Pages
- 1014-1014
- ISSN
- 1471-2458 (ISSN-L)
- PMC
- PMC8164288
- OpenAlex
- W3165610121
- Cited by
- 249
- References
- 21
- Citations by year
- 2026: 65 · 2025: 64 · 2024: 65 · 2023: 35 · 2022: 17 · 2021: 3
- FWCI
- 26.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Griffith Research Online (submittedVersion, cc-by)
- Funders
- Australian Government
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- COM-B model, young adults, eating behaviour, physical activity, weight gain prevention, motivation, capabilities, opportunity, Theoretical Domains Framework, barriers and facilitators, intervention design, healthy eating
- MeSH terms
- Diet, Healthy, Adult, Cross-Sectional Studies, Female, Humans, Male, Motivation, Health Behavior, Exercise, Young Adult
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