Top

BMC Public Health

Published in:

Open Access 01-12-2018 | Research article

The process by which perceived autonomy support predicts motivation, intention, and behavior for seasonal influenza prevention in Hong Kong older adults

Authors: Pak-Kwong Chung, Chun-Qing Zhang, Jing-Dong Liu, Derwin King-Chung Chan, Gangyan Si, Martin S. Hagger

Published in: BMC Public Health | Issue 1/2018

Abstract

Background

This study examined the effectiveness of a theoretical framework that integrates self-determination theory (SDT) and the theory of planned behavior (TPB) in explaining the use of facemasks to prevent seasonal influenza among Hong Kong older adults.

Methods

Data were collected at two time points in the winter in Hong Kong, during which influenza is most prevalent. At Time 1, older adults (N = 141) completed self-report measures of SDT (perceived autonomy support from senior center staff, autonomous motivation for influenza prevention) and TPB (attitude, subjective norm, perceived behavioral control, and intention for influenza prevention) constructs with respect to facemask used to prevent infection. Two weeks later, at Time 2, participants’ acceptance of a facemask to prevent influenza in the presence of an experimenter with flu-like symptoms was recorded.

Results

Path analysis found that perceived autonomy support of senior center staff was positively and significantly linked to autonomous motivation for facemask use, which, in turn, was positively related to intentions to wear facemasks through the mediation of attitude, subjective norm, and perceived behavioral control. However, the effect of intention on facemask use was not significant.

Conclusions

Results generally support the proposed framework and the findings of previous studies with respect to intention, but the non-significant intention-behavior relationship may warrant future research to examine the reasons for older adults not to wear facemasks to prevent seasonal influenza despite having positive intentions to do so.

World Health Organization. Influenza (Seasonal). 2014. Retrieved from http://www.who.int/mediacentre/factsheets/fs211/en/.

Harper SA, Bradley JS, Englund JA, File TM, Gravenstein S, Hayden FG, et al. Seasonal influenza in adults and children-diagnosis, treatment, chemoprophylaxis, and institutional outbreak management: clinical practice guidelines of the Infectious Diseases Society of America. Clin Infect Dis. 2009;48:1003–32. doi:10.1086/598513.CrossRefPubMed

Süß T, Remschmidt C, Schink S, Luchtenberg M, Haas W, Krause G, Buchholz U. Facemasks and intensified hand hygiene in a German household trial during the 2009/2010 influenza a (H1N1) pandemic: adherence and tolerability in children and adults. Epidemiol Infect. 2011;139(12):1895–901. doi:10.1017/S0950268810003006.CrossRef

Tracht SM, Del Valle SY, Hyman JM. Mathematical modeling of the effectiveness of facemasks in reducing the spread of novel influenza a (H1N1). PLoS One. 2010;5(2):e9018. doi:10.1371/journal.pone.0009018.CrossRefPubMedPubMedCentral

World Health Organization. Advice on the use of masks in the community setting in Influenza A(H1N1) outbreaks. 2009. Retrieved from http://www.who.int/csr/resources/publications/Adviceusemaskscommunityrevised.pdf

Tang CSK, Wong CY. Psychosocial factors influencing the practice of preventive behaviors against the severe acute respiratory syndrome among older Chinese in Hong Kong. J Aging Health. 2005;17:490–506. doi:10.1177/0898264305277966.CrossRefPubMed

Nexøe J, Kragstrup J, Søgaard J. Decision on influenza vaccination among the elderly: a questionnaire study based on the health belief model and the multidimensional locus of control theory. Scand J Prim Health Care. 1999;17:105–10.CrossRefPubMed

Biddle SJH, Hagger MS, Chatzisarantis NLD, Lippke S. Theoretical frameworks in exercise psychology. In: Tenenbaum G, Eklund RC, editors. Handbook of sport psychology. 3rd ed. New York, NY: Wiley; 2007. p. 537–59.

Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 2007;26:136–45. doi:10.1037/0278-6133.26.2.136.CrossRefPubMed

10.

Godin G, Vézina-Im LA, Naccache H. Determinants of influenza vaccination among healthcare workers. Infect Control Hosp Epidemiol. 2010;31:689–93. doi:10.1086/653614.CrossRefPubMed

11.

Ajzen I. From intentions to actions: a theory of planned behavior. In: Kuhl J, Beckmann J, editors. From intentions to actions: a theory of planned behavior. Berlin: Springer; 1985. p. 11–39.

12.

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;5:97–144. doi:10.1080/17437199.2010.521684.CrossRef

13.

Rich A, Brandes K, Mullan BA, Hagger MS. Theory of planned behavior and adherence in chronic illness: a meta-analysis. J Behav Med. 2015;38:673–88. doi:10.1007/s10865-015-9644-3.CrossRefPubMed

14.

Gallagher S, Povey R. Determinants of older adults’ intentions to vaccinate against influenza: a theoretical application. J Public Health. 2006;28:139–44. doi:10.1093/pubmed/fdl008.CrossRef

15.

Liao Q, Cowling BJ, Lam WWT, Fielding R. Factors affecting intention to receive and self-reported receipt of 2009 pandemic (H1N1) vaccine in Hong Kong: a longitudinal study. PLoS One. 2011;6(3):e17713. doi:10.1371/journal.pone.0017713.CrossRefPubMedPubMedCentral

16.

Deci EL, Ryan RM. Intrinsic motivation and self-determination in human behavior. New York: Plenum; 1985.CrossRef

17.

Deci EL, Ryan RM. The “what” and “why” of goal pursuits: human needs and the self-determination of behavior. Psychol Inq. 2000;11:227–68. doi:10.1207/S15327965PLI1104_01.CrossRef

18.

Williams GC, Grow VM, Freedman ZR, Ryan RM, Deci EL. Motivational predictors of weight loss and weight-loss maintenance. J Pers Soc Psychol. 1996;70:115–26.CrossRefPubMed

19.

Su YL, Reeve J. A meta-analysis of the effectiveness of intervention programs designed to support autonomy. Educ Psychol Rev. 2011;23:159–88. doi:10.1007/s10648-010-9142-7.CrossRef

20.

Chan DKC, Yang SX, Mullan B, Du X, Zhang X, Chatzisarantis NL, Hagger MS. Preventing the spread of H1N1 influenza infection during a pandemic: autonomy-supportive advice versus controlling instruction. J Behav Med. 2015;38:416–26. doi:10.1007/s10865-014-9616-z.CrossRefPubMed

21.

Turner KW. Senior citizens centers: what they offer, who participates, and what they gain. J Gerontol Soc Work. 2004;43:37–47. doi:10.1300/J083v43n01_04.CrossRef

22.

Hagger MS, Chatzisarantis NLD. Integrating the theory of planned behaviour and self-determination theory in health behaviour: a meta-analysis. Br J Health Psychol. 2009;14:275–302.CrossRefPubMed

23.

Hagger MS, Chatzisarantis NLD. An integrated behavior-change model for physical activity. Exerc Sport Sci Rev. 2014;42:62–9. doi:10.1249/JES.0000000000000008.CrossRefPubMed

24.

Chan DKC, Fung YK, Xing S, Hagger MS. Myopia prevention, near work, and visual acuity of college students: integrating the theory of planned behavior and self-determination theory. J Behav Med. 2014;73(3):369–80. doi:10.1007/s10865-013-9494-9.CrossRef

25.

Chan DKC, Hagger MS. Autonomous forms of motivation underpinning injury prevention and rehabilitation among police officers: an application of the trans-contextual model. Motiv Emot. 2012;36(3):349–64. doi:10.1007/s11031-011-9247-4.CrossRef

26.

Chan DKC, Hagger MS. Theoretical integration and the psychology of sport injury prevention. Sport Med. 2012;42:725–32. doi:10.1007/BF03262291.

27.

Hagger MS, Trost N, Keech J, Chan DK, Hamilton K. Predicting sugar consumption: application of an integrated dual-process, dual-phase model. Appetite. 2017;116(1):147–56. doi:10.1016/j.appet.2017.04.032.CrossRefPubMed

28.

Hagger MS, Chatzisarantis NLD, Barkoukis V, Wang CKJ, Baranowski J. Perceived autonomy support in physical education and leisure-time physical activity: a cross-cultural evaluation of the trans-contextual model. J Educ Psychol. 2005;97:376–90. doi:10.1037/0022-0663.97.3.376.CrossRef

29.

Hagger MS, Lonsdale AJ, Hein V, Koka A, Lintunen T, Pasi H, et al. Predicting alcohol consumption and binge drinking in company employees: an application of planned behaviour and self-determination theories. Br J Health Psychol. 2012;17:379–407. doi:10.1111/j.2044-8287.2011.02043.x.CrossRefPubMed

30.

Rhodes RE, de Bruijn GJ. How big is the physical activity intention-behaviour gap? A meta-analysis using the action control framework. Br J Health Psychol. 2013;18:296–309. doi:10.1111/bjhp.12032.CrossRefPubMed

31.

Sniehotta FF, Presseau J, Araújo-Soares V. Time to retire the theory of planned behaviour. Health Psychol Rev. 2014;8:1–7. doi:10.1080/17437199.2013.869710.CrossRefPubMed

32.

Sniehotta FF, Scholz U, Schwarzer R. Bridging the intention-behaviour gap: planning, self-efficacy, and action control in the adoption and maintenance of physical exercise. Psychol Health. 2005;20:143–60. doi:10.1080/08870440512331317670.CrossRef

33.

Levesque CS, Williams GC, Elliot D, Pickering MA, Bodenhamer B, Finley PJ. Validating the theoretical structure of the treatment self-regulation questionnaire (TSRQ) across three different health behaviors. Health Educ Res. 2007;22:691–702. doi:10.1093/Her/Cyl148.CrossRefPubMed

34.

Ajzen I. Constructing a TPB questionnaire: conceptual and methodological considerations. 2002. Retrieved from http://people.umass.edu/aizen/tpb.html

35.

Muthén LK, Muthén BO. Mplus user’s guide. 7th ed. Los Angeles, CA: Muthén & Muthén; 1998–2012.

36.

Marsh HW, Hau KT, Grayson D. Goodness of fit evaluation in structural equation modeling. In: Maydeu-Olivares A, McArdle J, editors, Psychometrics. A Festschrift for Roderick P. McDonald. Hillsdale, NJ: Erlbaum, 2005. p. 275–340.

37.

Yu CY. Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. University of California, Los Angeles: Unpublished doctoral dissertation; 2002.

38.

Ng JY, Ntoumanis N, Thøgersen-Ntoumani C, Deci EL, Ryan RM, Duda JL, Williams GC. Self-determination theory applied to health contexts a meta-analysis. Perspect Psychol Sci. 2012;7:325–40. doi:10.1177/1745691612447309.CrossRefPubMed

39.

Fishbein M, Ajzen I. Predicting and changing behavior: the reasoned action approach. New York, NY: Psychology Press; 2009.

40.

Noar SM, Head KJ. Mind the gap: bringing our theories in line with the empirical data – a response to commentaries. Health Psychol Rev. 2014;8:65–9. doi:10.1080/17437199.2013.855593.CrossRefPubMed

41.

Bandura A. Social foundations of thought and action: a social-cognitive theory. Englewood Cliffs, NJ: Prentice-Hall; 1986.

42.

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

43.

Hagger MS, Chatzisarantis NLD. The trans-contextual model of autonomous motivation in education: conceptual and empirical issues and meta-analysis. Rev Educ Res. 2016;86:360–407. doi:10.3102/0034654315585005.CrossRefPubMed

44.

Orbell S, Sheeran P. ‘Inclined abstainers’: a problem for predicting health related behaviour. Br J Soc Psychol. 1998;37:151–65. doi:10.1111/j.2044-8309.1998.tb01162.x.CrossRefPubMed

45.

Conner M, Sheeran P, Norman P, Armitage C. Temporal stability as a moderator of relationships in the theory of planned behaviour. Br J Soc Psychol. 2000;39:469–93. doi:10.1348/014466600164598.CrossRefPubMed

46.

Li KK, Chan DKS. Goal conflict and the moderating effects of intention stability in intention-behavior relations: physical activity among Hong Kong Chinese. J Sport Exerc Psychol. 2008;30:39–55.CrossRefPubMed

47.

Sheeran P, Abraham C. Mediator Of moderators: temporal stability of intention and the intention-behavior relation. Personal Soc Psychol Bull. 2003;29:205–15. doi:10.1177/0146167202239046.CrossRef

48.

Heckhausen H, Gollwitzer PM. Thought contents and cognitive functioning in motivational and volitional states of mind. Motiv Emot. 1987;11:101–20. doi:10.1007/BF00992338.CrossRef

49.

Gardner B. A review and analysis of the use of ‘habit’ in understanding, predicting and influencing health-related behaviour. Health Psychol Rev. 2015;9:277–95. doi:10.1080/17437199.2013.876238.CrossRefPubMed

50.

Keatley DA, Clarke DD, Hagger MS. Investigating the predictive validity of implicit and explicit measures of motivation on condom use, physical activity, and healthy eating. Psychol Health. 2012;27:550–69. doi:10.1080/08870446.2011.605451.CrossRefPubMed

51.

Rebar AL, Loftus AM, Hagger MS. Cognitive control and the non-conscious regulation of health behavior. Front Hum Neurosci. 2015;9:122. doi:10.3389/fnhum.2015.00122.CrossRefPubMedPubMedCentral

52.

Labrecque J, Wood W. What measures of habit strength to use? Comment on Gardner (2015). Health Psychol Rev. 2015;9:303–10. doi:10.1080/17437199.2014.992030.CrossRefPubMed

53.

Hagger MS, Chan DKC, Protogerou C, Chatzisarantis NLD. Using meta-analytic path analysis to test theoretical predictions in health behavior: an illustration based on meta-analyses of the theory of planned behavior. Prev Med. 2016;89:154–61. doi:10.1016/j.ypmed.2016.05.020.CrossRefPubMed

54.

Cole DA, Preacher KJ. Manifest variable path analysis: potentially serious and misleading consequences due to uncorrected measurement error. Psychol Methods. 2014;19:300–15. doi:10.1037/a0033805.CrossRefPubMed

Title: The process by which perceived autonomy support predicts motivation, intention, and behavior for seasonal influenza prevention in Hong Kong older adults
Authors: Pak-Kwong Chung
Chun-Qing Zhang
Jing-Dong Liu
Derwin King-Chung Chan
Gangyan Si
Martin S. Hagger
Publication date: 01-12-2018
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-017-4608-x

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

The process by which perceived autonomy support predicts motivation, intention, and behavior for seasonal influenza prevention in Hong Kong older adults

Abstract

Background

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 1/2018

Prevalence and factors associated with type 2 diabetes mellitus and hypertension among the hill tribe elderly populations in northern Thailand

Sound pressure levels generated at risk volume steps of portable listening devices: types of smartphone and genres of music

“Everything else comes first”: a mixed-methods analysis of barriers to health behaviors among military spouses

Emerging adults not in education, employment or training (NEET): socio-demographic characteristics, mental health and reasons for being NEET

Production diversification, dietary diversity and consumption seasonality: panel data evidence from Nigeria

Outcomes of community-based differentiated models of multi-month dispensing of antiretroviral medication among stable HIV-infected patients in Lesotho: a cluster randomised non-inferiority trial protocol