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International Journal of Public Health

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01-06-2019 | Original article

Associations between psychological factors and accelerometer-measured physical activity in urban Asian adults

Authors: Andre Matthias Müller, Chuen Seng Tan, Anne H. Y. Chu, Rob Martinus van Dam, Falk Müller-Riemenschneider

Published in: International Journal of Public Health | Issue 5/2019

Abstract

Objectives

Examine the association between psychological variables and accelerometer-measured moderate-to-vigorous physical activity (MVPA) in urban Asians.

Methods

A population-based cross-sectional study was conducted in Singapore. Participants wore an accelerometer for 7 days to measure physical activity (PA). Demographic, anthropometric and psychological data were also collected. Psychological variables included PA guideline knowledge, motivational profile for PA self-regulation (5 subscales), perceived barriers to PA (4 subscales) and perceived social support for PA. Regression models with adjustment for socio-demographic variables were fitted.

Results

External regulation (b = − 13.03, 95% CI − 34.55; − 1.50) and perceived daily life barriers (b = − 12.63, 95% CI − 24.95; − 0.32) were significantly associated with fewer weekly MVPA minutes. A significant interaction between perceived social support and age (p = 0.046) was found. Social support was significantly negative associated with MVPA minutes in younger (< 28 years), but not in older participants.

Conclusions

Considering levels of self-determination to engage in PA and perceived daily life barriers may be important for planning PA interventions in urban Asian populations. Caution is required when promoting social support for PA as it was associated with lower MVPA in younger people.

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Arai Y, Hisamichi S (1998) Self-reported exercise frequency and personality: a population-based study in Japan. Percept Mot Skills 87:1371–1375. https://doi.org/10.2466/pms.1998.87.3f.1371 CrossRefPubMed

Armon G, Melamed S, Shirom A, Berliner S, Shapira I (2013) The associations of the Five Factor Model of personality with inflammatory biomarkers: a four-year prospective study. Personal Individ Differ 54:750–755. https://doi.org/10.1016/j.paid.2012.11.035 CrossRef

Bandura A (2001) Social cognitive theory: an agentic perspective. Annu Rev Psychol 52:1–26. https://doi.org/10.1146/annurev.psych.52.1.1 CrossRefPubMed

Bauman A, Ma G, Cuevas F, Omar Z, Waqanivalu T, Phongsavan P, Keke K, Bhushan A (2011) Cross-national comparisons of socioeconomic differences in the prevalence of leisure-time and occupational physical activity, and active commuting in six Asia-Pacific countries. J Epidemiol Community Health 65:35–43. https://doi.org/10.1136/jech.2008.086710 CrossRefPubMed

Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJF, Martin BW (2012) Correlates of physical activity: why are some people physically active and others not? Lancet 380:258–271. https://doi.org/10.1016/S0140-6736(12)60735-1 CrossRefPubMed

Booth ML, Bauman A, Owen N, Gore CJ (1997) Physical activity preferences, preferred sources of assistance, and perceived barriers to increased activity among physically inactive Australians. Prev Med 26:131–137. https://doi.org/10.1006/pmed.1996.9982 CrossRefPubMed

Carlin A, Perchoux C, Puggina A, Aleksovska K, Buck C, Burns C, Cardon G, Chantal S, Ciarapica D, Condello G, Coppinger T, Cortis C, D’Haese S, de Craemer M, Di Blasio A, Hansen S, Iacoviello L, Issartel J, Izzicupo P, Jaeschke L, Kanning M, Kennedy A, Lakerveld J, Chun Man Ling F, Luzak A, Napolitano G, Nazare J-A, Pischon T, Polito A, Sannella A, Schulz H, Sohun R, Steinbrecher A, Schlicht W, Ricciardi W, MacDonncha C, Capranica L, Boccia S (2017) A life course examination of the physical environmental determinants of physical activity behaviour: a “Determinants of Diet and Physical Activity” (DEDIPAC) umbrella systematic literature review. PLoS ONE 12:e0182083. https://doi.org/10.1371/journal.pone.0182083 CrossRefPubMedPubMedCentral

Carver CS, Scheier MF (2002) Control processes and self-organization as complementary principles underlying behavior. Pers Soc Psychol Rev 6(4):304–315CrossRef

Choi L, Liu Z, Matthews CE, Buchowski MS (2011) Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc 43:357–364. https://doi.org/10.1249/MSS.0b013e3181ed61a3 CrossRefPubMedPubMedCentral

Choi J, Lee M, Lee J-K, Kang D, Choi J-Y (2017) Correlates associated with participation in physical activity among adults: a systematic review of reviews and update. BMC Public Health 17:356. https://doi.org/10.1186/s12889-017-4255-2 CrossRefPubMedPubMedCentral

Chu AHY, van Dam RM, Biddle SJH, Tan CS, Koh D, Müller-Riemenschneider F (2018) Self-reported domain-specific and accelerometer-based physical activity and sedentary behaviour in relation to psychological distress among an urban Asian population. Int J Behav Nutr Phys Act 15:36. https://doi.org/10.1186/s12966-018-0669-1 CrossRefPubMedPubMedCentral

Cortis C, Puggina A, Pesce C, Aleksovska K, Buck C, Burns C, Cardon G, Carlin A, Simon C, Ciarapica D, Condello G, Coppinger T, D’Haese S, de Craemer M, Di Blasio A, Hansen S, Iacoviello L, Issartel J, Izzicupo P, Jaeschke L, Kanning M, Kennedy A, Ling FCM, Luzak A, Napolitano G, Nazare J-A, O’Donoghue G, Perchoux C, Pischon T, Polito A, Sannella A, Schulz H, Sohun R, Steinbrecher A, Schlicht W, Ricciardi W, Castellani L, MacDonncha C, Capranica L, Boccia S (2017) Psychological determinants of physical activity across the life course: a “DEterminants of DIet and Physical ACtivity” (DEDIPAC) umbrella systematic literature review. PLoS ONE 12:e0182709. https://doi.org/10.1371/journal.pone.0182709 CrossRefPubMedPubMedCentral

Dahl AK, Hassing LB, Fransson EI, Pedersen NL (2010) Agreement between self-reported and measured height, weight and body mass index in old age: a longitudinal study with 20 years of follow-up. Age Ageing 39:445–451. https://doi.org/10.1093/ageing/afq038 CrossRefPubMedPubMedCentral

Deci EL, Ryan RM (2010) Self-Determination. In: Weiner IB, Craighead WE (eds) The Corsini encyclopedia of psychology, vol 44, 4th edn. Wiley, Hoboken, NJ, p 1175

Dishman RK, Motl RW, Sallis JF, Dunn AL, Birnbaum AS, Welk GJ, Bedimo-Rung AL, Voorhees CC, Jobe JB (2005) Self-management strategies mediate self-efficacy and physical activity. Am J Prev Med 29:10–18. https://doi.org/10.1016/j.amepre.2005.03.012 CrossRefPubMedPubMedCentral

Dowda M, Ainsworth BE, Addy CL, Saunders R, Riner W (2003) Correlates of physical activity among U.S. young adults, 18 to 30 years of age, from NHANES III. Ann Behav Med 26:15–23. https://doi.org/10.1207/S15324796ABM2601_03 CrossRefPubMed

Dyrstad SM, Hansen BH, Holme IM, Anderssen SA (2014) Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc 46:99–106. https://doi.org/10.1249/MSS.0b013e3182a0595f CrossRefPubMed

Finkelstein EA, Haaland BA, Bilger M, Sahasranaman A, Sloan RA, Nang EEK, Evenson KR (2016) Effectiveness of activity trackers with and without incentives to increase physical activity (TRIPPA): a randomised controlled trial. Lancet Diabetes Endocrinol 4:983–995. https://doi.org/10.1016/S2213-8587(16)30284-4 CrossRefPubMed

Füzéki E, Engeroff T, Banzer W (2017) Health benefits of light-intensity physical activity: a systematic review of accelerometer data of the national health and nutrition examination Survey (NHANES). Sports Med. https://doi.org/10.1007/s40279-017-0724-0 CrossRefPubMed

Gleason MEJ, Iida M, Shrout PE, Bolger N (2008) Receiving support as a mixed blessing: evidence for dual effects of support on psychological outcomes. J Pers Soc Psychol 94:824–838. https://doi.org/10.1037/0022-3514.94.5.824 CrossRefPubMedPubMedCentral

Hagger MS, Chatzisarantis NLD (2014) An integrated behavior change model for physical activity. Exerc Sport Sci Rev 42:62–69. https://doi.org/10.1249/JES.0000000000000008 CrossRefPubMed

Hagger MS, Chatzisarantis NLD, Barkoukis V, Wang CKJ, Baranowski J (2005) Perceived autonomy support in physical education and leisure-time physical activity: a cross-cultural evaluation of the trans-contextual model. J Educ Psychol 97:376–390. https://doi.org/10.1037/0022-0663.97.3.376 CrossRef

Hansen BH, Ommundsen Y, Holme I, Kolle E, Anderssen SA (2014) Correlates of objectively measured physical activity in adults and older people: a cross-sectional study of population-based sample of adults and older people living in Norway. Int J Public Health 59:221–230. https://doi.org/10.1007/s00038-013-0472-3 CrossRefPubMed

Hunter RF, Tully MA, Donnelly P, Stevenson M, Kee F (2014) Knowledge of UK physical activity guidelines: implications for better targeted health promotion. Prev Med 65:33–39. https://doi.org/10.1016/j.ypmed.2014.04.016 CrossRefPubMed

Hutcheson G, Sofroniou N (1999) The multivariate social scientist. Sage, LondonCrossRef

Kapteyn A, Banks J, Hamer M, Smith JP, Steptoe A, van Soest A, Koster A, Htay Wah S (2018) What they say and what they do: comparing physical activity across the USA, England and the Netherlands. J Epidemiol Community Health 72:471–476. https://doi.org/10.1136/jech-2017-209703 CrossRefPubMedPubMedCentral

Knox ECL, Musson H, Adams EJ (2015) Knowledge of physical activity recommendations in adults employed in England: associations with individual and workplace-related predictors. Int J Behav Nutr Phys Act 12:69. https://doi.org/10.1186/s12966-015-0231-3 CrossRefPubMedPubMedCentral

Lakerveld J, van der Ploeg HP, Kroeze W, Ahrens W, Allais O, Andersen LF, Cardon G, Capranica L, Chastin S, Donnelly A, Ekelund U, Finglas P, Flechtner-Mors M, Hebestreit A, Hendriksen I, Kubiak T, Lanza M, Loyen A, MacDonncha C, Mazzocchi M, Monsivais P, Murphy M, Nöthlings U, O’Gorman DJ, Renner B, Roos G, Schuit AJ, Schulze M, Steinacker J, Stronks K, Volkert D, Van’t Veer P, Lien N, de Bourdeaudhuij I, Brug J (2014) Towards the integration and development of a cross-European research network and infrastructure: the DEterminants of DIet and Physical ACtivity (DEDIPAC) Knowledge Hub. Int J Behav Nutr Phys Act 11:143. https://doi.org/10.1186/s12966-014-0143-7 CrossRefPubMedPubMedCentral

Lear SA, Hu W, Rangarajan S, Gasevic D, Leong D, Iqbal R, Casanova A, Swaminathan S, Anjana RM, Kumar R, Rosengren A, Wei L, Yang W, Chuangshi W, Huaxing L, Nair S, Diaz R, Swidon H, Gupta R, Mohammadifard N, Lopez-Jaramillo P, Oguz A, Zatonska K, Seron P, Avezum A, Poirier P, Teo K, Yusuf S (2017) The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. Lancet 390:2643–2654. https://doi.org/10.1016/S0140-6736(17)31634-3 CrossRefPubMed

Lee KS, Loprinzi PD, Trost SG (2010) Determinants of physical activity in Singaporean adolescents. Int J Behav Med 17:279–286. https://doi.org/10.1007/s12529-009-9060-6 CrossRefPubMed

Lee I-M, Shiroma EJ, Evenson KR, Kamada M, LaCroix AZ, Buring JE (2018) Accelerometer-measured physical activity and sedentary behavior in relation to all-cause mortality: the women’s health study. Circulation 137:203–205. https://doi.org/10.1161/CIRCULATIONAHA.117.031300 CrossRefPubMed

Lindsay Smith G, Banting L, Eime R, O’Sullivan G, van Uffelen JGZ (2017) The association between social support and physical activity in older adults: a systematic review. Int J Behav Nutr Phys Act 14:56. https://doi.org/10.1186/s12966-017-0509-8 CrossRefPubMedPubMedCentral

Maher JP, Dzubur E, Huh J, Intille S, Dunton GF (2016) Within-day time-varying associations between behavioral cognitions and physical activity in adults. J Sport Exerc Psychol 38:423–434. https://doi.org/10.1123/jsep.2016-0058 CrossRefPubMed

Markland D, Tobin V (2004) A modification to the behavioural regulation in exercise questionnaire to include an assessment of amotivation. J Sport Exerc Psychol 26:191–196. https://doi.org/10.1123/jsep.26.2.191 CrossRef

Moschny A, Platen P, Klaassen-Mielke R, Trampisch U, Hinrichs T (2011) Barriers to physical activity in older adults in Germany: a cross-sectional study. Int J Behav Nutr Phys Act 8:121. https://doi.org/10.1186/1479-5868-8-121 CrossRefPubMedPubMedCentral

Reiner M, Niermann C, Jekauc D, Woll A (2013) Long-term health benefits of physical activity: a systematic review of longitudinal studies. BMC Public Health 13:813. https://doi.org/10.1186/1471-2458-13-813 CrossRefPubMedPubMedCentral

Roberts BW, Mroczek D (2008) Personality trait change in adulthood. Curr Dir Psychol Sci 17:31–35. https://doi.org/10.1111/j.1467-8721.2008.00543.x CrossRefPubMedPubMedCentral

Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR (1987) The development of scales to measure social support for diet and exercise behaviors. Prev Med 16:825–836. https://doi.org/10.1016/0091-7435(87)90022-3 CrossRefPubMed

Sallis JF, Bull F, Guthold R, Heath GW, Inoue S, Kelly P, Oyeyemi AL, Perez LG, Richards J, Hallal PC (2016) Progress in physical activity over the Olympic quadrennium. Lancet 388:1325–1336. https://doi.org/10.1016/S0140-6736(16)30581-5 CrossRefPubMed

Salmon J, Owen N, Crawford D, Bauman A, Sallis JF (2003) Physical activity and sedentary behavior: a population-based study of barriers, enjoyment, and preference. Health Psychol 22:178–188. https://doi.org/10.1037/0278-6133.22.2.178 CrossRefPubMed

Sasaki JE, John D, Freedson PS (2011) Validation and comparison of ActiGraph activity monitors. J Sci Med Sport 14:411–416. https://doi.org/10.1016/j.jsams.2011.04.003 CrossRefPubMed

Scarapicchia TMF, Amireault S, Faulkner G, Sabiston CM (2016) Social support and physical activity participation among healthy adults: a systematic review of prospective studies. Int Rev Sport Exerc Psychol 10:50–83. https://doi.org/10.1080/1750984X.2016.1183222 CrossRef

Schwarzer R (2008) Modeling health behavior change: how to predict and modify the adoption and maintenance of health behaviors. Appl Psychol 57:1–29. https://doi.org/10.1111/j.1464-0597.2007.00325.x CrossRef

Silva MN, Marques MM, Teixeira PJ (2014) Testing theory in practice: the example of self-determination theory-based interventions. Eur Health Psychol 16:171–180

Sun F, Norman IJ, While AE (2013) Physical activity in older people: a systematic review. BMC Public Health 13:449. https://doi.org/10.1186/1471-2458-13-449 CrossRefPubMedPubMedCentral

Tavakol M, Dennick R (2011) Making sense of Cronbach’s alpha. Int J Med Educ 2:53–55. https://doi.org/10.5116/ijme.4dfb.8dfd CrossRefPubMedPubMedCentral

Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM (2012) Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act 9:78. https://doi.org/10.1186/1479-5868-9-78 CrossRefPubMedPubMedCentral

Thein HH, Austen S, Currie J, Lewin E (2010) The impact of cultural context on the perception of work/family balance by professional women in Singapore and Hong Kong. Int J Cross Cult Manag 10:303–320. https://doi.org/10.1177/1470595810384585 CrossRef

White RL, Babic MJ, Parker PD, Lubans DR, Astell-Burt T, Lonsdale C (2017) Domain-specific physical activity and mental health: a meta-analysis. Am J Prev Med 52:653–666. https://doi.org/10.1016/j.amepre.2016.12.008 CrossRefPubMed

World Health Organization (2010) Global recommendation of physical activity for health. World Health Organization, Geneva

WHO Expert Consultation (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157–163. https://doi.org/10.1016/s0140-6736(03)15268-3 CrossRef

Win AM, Yen LW, Tan KHX, Lim RBT, Chia KS, Mueller-Riemenschneider F (2015) Patterns of physical activity and sedentary behavior in a representative sample of a multi-ethnic South-East Asian population: a cross-sectional study. BMC Public Health 15:318. https://doi.org/10.1186/s12889-015-1668-7 CrossRefPubMedPubMedCentral

Ziebland S, Thorogood M, Yudkin P, Jones L, Coulter A (1998) Lack of willpower or lack of wherewithal? “Internal” and “external” barriers to changing diet and exercise in a three year follow-up of participants in a health check. Soc Sci Med 46:461–465. https://doi.org/10.1016/S0140-6736(16)00618-8 CrossRefPubMed

Title: Associations between psychological factors and accelerometer-measured physical activity in urban Asian adults
Authors: Andre Matthias Müller
Chuen Seng Tan
Anne H. Y. Chu
Rob Martinus van Dam
Falk Müller-Riemenschneider
Publication date: 01-06-2019
Publisher: Springer International Publishing
Published in: International Journal of Public Health / Issue 5/2019
Print ISSN: 1661-8556
Electronic ISSN: 1661-8564
DOI: https://doi.org/10.1007/s00038-019-01203-6

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Associations between psychological factors and accelerometer-measured physical activity in urban Asian adults

Abstract

Objectives

Methods

Results

Conclusions

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusions

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