BACKGROUND: Despite the availability of physical activity (PA) interventions, many older adults are still not active enough. This might be partially explained by the often-limited effects of PA interventions. In general, health behavior change interventions often do not focus on contextual and time-varying determinants, which may limit their effectiveness. However, before the dynamic tailoring of interventions can be developed, one should know which time-dependent determinants are associated with PA and how strong these associations are. OBJECTIVE: The aim of this study was to examine within-person associations between multiple determinants of the capability, opportunity, motivation, and behavior framework assessed using Ecological Momentary Assessment (EMA) and accelerometer-assessed light PA, moderate to vigorous PA, and total PA performed at 15, 30, 60, and 120 minutes after the EMA trigger. METHODS: Observational data were collected from 64 healthy older adults (36/64, 56% men; mean age 72.1, SD 5.6 y). Participants were asked to answer a time-based EMA questionnaire 6 times per day that assessed emotions (ie, relaxation, satisfaction, irritation, and feeling down), the physical complaint fatigue, intention, intention, and self-efficacy. An Axivity AX3 was wrist worn to capture the participants' PA. Multilevel regression analyses in R were performed to examine these within-person associations. RESULTS: Irritation, feeling down, intention, and self-efficacy were positively associated with subsequent light PA or moderate to vigorous PA at 15, 30, 60, or 120 minutes after the trigger, whereas relaxation, satisfaction, and fatigue were negatively associated. CONCLUSIONS: Multiple associations were observed in this study. This knowledge in combination with the time dependency of the determinants is valuable information for future interventions so that suggestions to be active can be provided when the older adult is most receptive.

Department of Epidemiology of Infectious Diseases Belgian Institute for Health Brussels Belgium

Department of Experimental Clinical and Health Psychology Ghent University Ghent Belgium

Department of Information Technology Ghent University Ghent Belgium

Department of Movement and Sports Sciences Ghent University Ghent Belgium

Department of Public Health and Primary Care Ghent University Ghent Belgium

Faculty of Physical Education and Sport Charles University Prague Czech Republic

Fund for Scientific Research Flanders Brussels Belgium

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Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, Carty C, Chaput J, Chastin S, Chou R, Dempsey PC, DiPietro L, Ekelund U, Firth J, Friedenreich CM, Garcia L, Gichu M, Jago R, Katzmarzyk PT, Lambert E, Leitzmann M, Milton K, Ortega FB, Ranasinghe C, Stamatakis E, Tiedemann A, Troiano RP, van der Ploeg HP, Wari V, Willumsen JF. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020 Dec;54(24):1451–62. doi: 10.1136/bjsports-2020-102955.bjsports-2020-102955 PubMed DOI PMC

Milanović Z, Pantelić S, Trajković N, Sporiš G, Kostić R, James N. Age-related decrease in physical activity and functional fitness among elderly men and women. Clin Interv Aging. 2013;8:549–56. doi: 10.2147/CIA.S44112. cia-8-549 PubMed DOI PMC

Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, Lancet Physical Activity Series Working Group Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012 Jul 21;380(9838):247–57. doi: 10.1016/S0140-6736(12)60646-1.S0140-6736(12)60646-1 PubMed DOI

Special Eurobarometer 472 report - sport and physical activity. European Commission. 2018. [2021-09-21]. https://sport.ec.europa.eu/sites/default/files/special-eurobarometer-472_en.pdf .

Shrestha N, Grgic J, Wiesner G, Parker A, Podnar H, Bennie JA, Biddle SJ, Pedisic Z. Effectiveness of interventions for reducing non-occupational sedentary behaviour in adults and older adults: a systematic review and meta-analysis. Br J Sports Med. 2019 Oct;53(19):1206–13. doi: 10.1136/bjsports-2017-098270.bjsports-2017-098270 PubMed DOI

Spence JC, Lee RE. Toward a comprehensive model of physical activity. Psychol Sport Exerc. 2003 Jan;4(1):7–24. doi: 10.1016/S1469-0292(02)00014-6. DOI

Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008 Apr;4(1):1–32. doi: 10.1146/annurev.clinpsy.3.022806.091415. PubMed DOI

Conroy DE, Elavsky S, Hyde AL, Doerksen SE. The dynamic nature of physical activity intentions: a within-person perspective on intention-behavior coupling. J Sport Exerc Psychol. 2011 Dec;33(6):807–27. doi: 10.1123/jsep.33.6.807. PubMed DOI PMC

Pickering TA, Huh J, Intille S, Liao Y, Pentz MA, Dunton GF. Physical activity and variation in momentary behavioral cognitions: an ecological momentary assessment study. J Phys Act Health. 2016 Mar;13(3):344–51. doi: 10.1123/jpah.2014-0547.2014-0547 PubMed DOI

Dunton GF. Ecological momentary assessment in physical activity research. Exerc Sport Sci Rev. 2017 Jan;45(1):48–54. doi: 10.1249/JES.0000000000000092. PubMed DOI PMC

Moss RJ, Süle A, Kohl S. eHealth and mHealth. Eur J Hosp Pharm. 2019 Jan 21;26(1):57–8. doi: 10.1136/ejhpharm-2018-001819. ejhpharm-2018-001819 PubMed DOI PMC

Rothman AJ, Sheeran P. The operating conditions framework: integrating mechanisms and moderators in health behavior interventions. Health Psychol. 2021 Dec;40(12):845–57. doi: 10.1037/hea0001026.2020-67416-001 PubMed DOI

Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011 Apr 23;6:42. doi: 10.1186/1748-5908-6-42. 1748-5908-6-42 PubMed DOI PMC

Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-Time Adaptive Interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med. 2018 May 18;52(6):446–62. doi: 10.1007/s12160-016-9830-8. 10.1007/s12160-016-9830-8 PubMed DOI PMC

Do B, Mason TB, Yi L, Yang CH, Dunton GF. Momentary associations between stress and physical activity among children using ecological momentary assessment. Psychol Sport Exerc. 2021 Jul;55:101935. doi: 10.1016/j.psychsport.2021.101935. 101935 PubMed DOI PMC

Conroy DE, Elavsky S, Doerksen SE, Maher JP. A daily process analysis of intentions and physical activity in college students. J Sport Exerc Psychol. 2013 Oct;35(5):493–502. doi: 10.1123/jsep.35.5.493. PubMed DOI PMC

Costigan SA, Lubans DR, Lonsdale C, Sanders T, Del Pozo Cruz B. Associations between physical activity intensity and well-being in adolescents. Prev Med. 2019 Aug;125:55–61. doi: 10.1016/j.ypmed.2019.05.009.S0091-7435(19)30183-5 PubMed DOI

Jones M, Taylor A, Liao Y, Intille SS, Dunton GF. Real-time subjective assessment of psychological stress: associations with objectively-measured physical activity levels. Psychol Sport Exerc. 2017 Jul;31:79–87. doi: 10.1016/j.psychsport.2017.03.013. PubMed DOI PMC

Liao Y, Chou CP, Huh J, Leventhal A, Dunton G. Examining acute bi-directional relationships between affect, physical feeling states, and physical activity in free-living situations using electronic ecological momentary assessment. J Behav Med. 2017 Jun;40(3):445–57. doi: 10.1007/s10865-016-9808-9. 10.1007/s10865-016-9808-9 PubMed DOI PMC

Maher JP, Dzubur E, Huh J, Intille S, Dunton GF. Within-day time-varying associations between behavioral cognitions and physical activity in adults. J Sport Exerc Psychol. 2016 Aug;38(4):423–34. doi: 10.1123/jsep.2016-0058. PubMed DOI PMC

Schultchen D, Reichenberger J, Mittl T, Weh TR, Smyth JM, Blechert J, Pollatos O. Bidirectional relationship of stress and affect with physical activity and healthy eating. Br J Health Psychol. 2019 May;24(2):315–33. doi: 10.1111/bjhp.12355. PubMed DOI PMC

Maher JP, Dunton GF. Within-day time-varying associations between motivation and movement-related behaviors in older adults. Psychol Sport Exerc. 2020 Mar;47:101522. doi: 10.1016/j.psychsport.2019.04.012. DOI

Hevel DJ, Dunton GF, Maher JP. Acute bidirectional relations between affect, physical feeling states, and activity-related behaviors among older adults: an ecological momentary assessment study. Ann Behav Med. 2021 Feb 12;55(1):41–54. doi: 10.1093/abm/kaaa027.5842051 PubMed DOI

Dunton GF, Atienza AA, Castro CM, King AC. Using ecological momentary assessment to examine antecedents and correlates of physical activity bouts in adults age 50+ years: a pilot study. Ann Behav Med. 2009 Dec;38(3):249–55. doi: 10.1007/s12160-009-9141-4. PubMed DOI PMC

Baert V, Gorus E, Mets T, Geerts C, Bautmans I. Motivators and barriers for physical activity in the oldest old: a systematic review. Ageing Res Rev. 2011 Sep;10(4):464–74. doi: 10.1016/j.arr.2011.04.001.S1568-1637(11)00026-2 PubMed DOI

Windsor TD, Anstey KJ. Age differences in psychosocial predictors of positive and negative affect: a longitudinal investigation of young, midlife, and older adults. Psychol Aging. 2010 Sep;25(3):641–52. doi: 10.1037/a0019431.2010-18944-009 PubMed DOI

Maes I, Van Dyck D, Van Cauwenberg J, Mertens L. Age-related differences in the associations of physical environmental factors and psychosocial factors with accelerometer-assessed physical activity. Health Place. 2021 Jan;67:102492. doi: 10.1016/j.healthplace.2020.102492.S1353-8292(20)31886-4 PubMed DOI

Steltenpohl CN, Shuster M, Peist E, Pham A, Mikels JA. Me time, or we time? Age differences in motivation for exercise. Gerontologist. 2019 Jul 16;59(4):709–17. doi: 10.1093/geront/gny038. 4982585 PubMed DOI PMC

Liao Y, Skelton K, Dunton G, Bruening M. A systematic review of methods and procedures used in ecological momentary assessments of diet and physical activity research in youth: an adapted STROBE checklist for reporting EMA studies (CREMAS) J Med Internet Res. 2016 Jun 21;18(6):e151. doi: 10.2196/jmir.4954. v18i6e151 PubMed DOI PMC

Koval P, Hinton J, Dozo N, Gleeson J, Alvarez M, Harrison A, Vu D, Sustano R, Jayaputera G, Sinnott R. SEMA3: smartphone ecological momentary assessment, version 3. Melbourne eResearch Group. [2021-10-05]. http://www.sema3.com .

Delespaul PA. Assessing schizophrenia in daily life: the experience sampling method. Maastricht University. 1995. [2021-10-05]. https://cris.maastrichtuniversity.nl/en/publications/assessing-schizophrenia-in-daily-life-the-experience-sampling-met .

Kroenke K, Spitzer RL, Williams JB. The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms. Psychosom Med. 2002 Mar;64(2):258–66. doi: 10.1097/00006842-200203000-00008. PubMed DOI

Schroé H, Van der Mispel C, De Bourdeaudhuij I, Verloigne M, Poppe L, Crombez G. A factorial randomised controlled trial to identify efficacious self-regulation techniques in an e- and m-health intervention to target an active lifestyle: study protocol. Trials. 2019 Jun 10;20(1):340. doi: 10.1186/s13063-019-3456-7. 10.1186/s13063-019-3456-7 PubMed DOI PMC

Maes I, Mertens L, Poppe L, Crombez G, Vetrovsky T, Van Dyck D. The variability of emotions, physical complaints, intention, and self-efficacy: an ecological momentary assessment study in older adults. PeerJ. 2022 May 19;10:e13234. doi: 10.7717/peerj.13234. 13234 PubMed DOI PMC

Feng Y, Wong CK, Janeja V, Kuber R, Mentis HM. Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions. Gait Posture. 2017 Mar;53:11–6. doi: 10.1016/j.gaitpost.2016.12.014.S0966-6362(16)30702-0 PubMed DOI

Jackson D. OMGUI. Psychol Men Masc. 2018. [2021-10-05]. https://github.com/digitalinteraction/openmovement/wiki/AX3-GUI .

R Core Team R: a language and environment for statistical computing. The R Foundation. 2020. [2021-10-05]. https://www.r-project.org/

Sanders GJ, Boddy LM, Sparks SA, Curry WB, Roe B, Kaehne A, Fairclough SJ. Evaluation of wrist and hip sedentary behaviour and moderate-to-vigorous physical activity raw acceleration cutpoints in older adults. J Sports Sci. 2019 Jun;37(11):1270–9. doi: 10.1080/02640414.2018.1555904. PubMed DOI

Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015;67(1):1–48. doi: 10.18637/jss.v067.i01. DOI

Mullahy J. Specification and testing of some modified count data models. J Econom. 1986 Dec;33(3):341–65. doi: 10.1016/0304-4076(86)90002-3. DOI

Feng CX. A comparison of zero-inflated and hurdle models for modeling zero-inflated count data. J Stat Distrib Appl. 2021;8(1):8. doi: 10.1186/s40488-021-00121-4. 121 PubMed DOI PMC

Bandura A. Health promotion from the perspective of social cognitive theory. Psychol Health. 1998;13(4):623–49. doi: 10.1080/08870449808407422. DOI

Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991 Dec;50(2):179–211. doi: 10.1016/0749-5978(91)90020-T. DOI

Ajzen I, Fishbein M. Understanding Attitudes and Predicting Social Behavior. Upper Saddle River, NJ: Prentice-Hall; 1980.

Dunton GF, Atienza AA. The need for time-intensive information in healthful eating and physical activity research: a timely topic. J Am Diet Assoc. 2009 Jan;109(1):30–5. doi: 10.1016/j.jada.2008.10.019.S0002-8223(08)01896-8 PubMed DOI

Schwerdtfeger A, Eberhardt R, Chmitorz A, Schaller E. Momentary affect predicts bodily movement in daily life: an ambulatory monitoring study. J Sport Exerc Psychol. 2010 Oct;32(5):674–93. doi: 10.1123/jsep.32.5.674. PubMed DOI

Kanning M, Schlicht W. Be active and become happy: an ecological momentary assessment of physical activity and mood. J Sport Exerc Psychol. 2010 Apr;32(2):253–61. doi: 10.1123/jsep.32.2.253. PubMed DOI

Peluso MA, Guerra de Andrade LH. Physical activity and mental health: the association between exercise and mood. Clinics (Sao Paulo) 2005 Feb;60(1):61–70. doi: 10.1590/s1807-59322005000100012. S1807-5932(22)03217-3 PubMed DOI

Vagetti GC, Barbosa Filho VC, Moreira NB, Oliveira VD, Mazzardo O, Campos WD. Association between physical activity and quality of life in the elderly: a systematic review, 2000-2012. Braz J Psychiatry. 2014 Jan;36(1):76–88. doi: 10.1590/1516-4446-2012-0895. S1516-44462014005020895 PubMed DOI

Schuch FB, Vancampfort D. Physical activity, exercise, and mental disorders: it is time to move on. Trends Psychiatry Psychother. 2021 Jul;43(3):177–84. doi: 10.47626/2237-6089-2021-0237. PubMed DOI PMC

Clark MS, Isen AM. Toward understanding the relationship between feeling states and social behavior. In: Hastorf AH, Isen AM, editors. Cognitive Social Psychology. North Holland, Netherlands: Elsevier; 1982. pp. 73–108.

McDermott MS, Oliver M, Iverson D, Sharma R. Effective techniques for changing physical activity and healthy eating intentions and behaviour: a systematic review and meta-analysis. Br J Health Psychol. 2016 Nov;21(4):827–41. doi: 10.1111/bjhp.12199. PubMed DOI

Williams SL, French DP. What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour--and are they the same? Health Educ Res. 2011 Apr;26(2):308–22. doi: 10.1093/her/cyr005.cyr005 PubMed DOI

Rowlands AV, Mirkes EM, Yates T, Clemes S, Davies M, Khunti K, Edwardson CL. Accelerometer-assessed physical activity in epidemiology: are monitors equivalent? Med Sci Sports Exerc. 2018 Feb;50(2):257–65. doi: 10.1249/MSS.0000000000001435. PubMed DOI

Contexts, affective and physical states and their variations during physical activity in older adults: an intensive longitudinal study with sensor-triggered event-based ecological momentary assessments

Ecological momentary assessment of physical and eating behaviours: The WEALTH feasibility and optimisation study with recommendations for large-scale data collection

Older adults' compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research