期刊论文详细信息
International Journal of Behavioral Nutrition and Physical Activity
Development and initial validation of the determinants of physical activity questionnaire
Mark Conner1  Rebecca Lawton1  Natalie Taylor1 
[1] Institute of Psychological Sciences, University of Leeds, Leeds LS2 9JT, UK
关键词: Intervention development;    Theoretical domains framework;    Behaviour change;    Barriers;    Determinants;   
Others  :  806880
DOI  :  10.1186/1479-5868-10-74
 received in 2012-10-29, accepted in 2013-05-17,  发布年份 2013
PDF
【 摘 要 】

Background

Physical activity interventions are more likely to be effective if they target causal determinants of behaviour change. Targeting requires accurate identification of specific theoretical determinants of physical activity. Two studies were undertaken to develop and validate the Determinants of Physical Activity Questionnaire.

Methods

In Study 1, 832 male and female university staff and students were recruited from 49 universities across the UK and completed the 66-item measure, which is based on the Theoretical Domains Framework. Confirmatory factor analysis was undertaken on a calibration sample to generate the model, which resulted in a loss of 31 items. A validation sample was used to cross-validate the model. 20 new items were added and Study 2 tested the revised model in a sample of 466 male and female university students together with a physical activity measure.

Results

The final model consisted of 11 factors and 34 items, and CFA produced a reasonable fit χ2 (472) = 852.3, p < .001, CFI = .933, SRMR = .105, RMSEA = .042 (CI = .037-.046), as well as generally acceptable levels of discriminant validity, internal consistency, and test-retest reliability. Eight subscales significantly differentiated between high and low exercisers, indicating that those who exercise less report more barriers for physical activity.

Conclusions

A theoretically underpinned measure of determinants of physical activity has been developed with reasonable reliability and validity. Further work is required to test the measure amongst a more representative sample. This study provides an innovative approach to identifying potential barriers to physical activity. This approach illustrates a method for moving from diagnosing implementation difficulties to designing and evaluating interventions.

【 授权许可】

   
2013 Taylor et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140708101200394.pdf 272KB PDF download
【 参考文献 】
  • [1]Abraham C, Graham-Rowe E: Are worksite interventions effective in increasing physical activity? A systematic review and meta-analysis. Health Psychol Rev 2009, 3(1):108-144.
  • [2]Webb DJ, Eves FF: Effects of environmental changes in a stair climbing intervention: generalisation to stair descent. Health Prom Comm Design 2007, 22(1):38-44.
  • [3]Yap TL: The systematic development of a tailored E-mail intervention for health behavior change toward increasing intentional physical activity. West J Nurs Res 2009, 31(3):330-346.
  • [4]Fahernwald NL, et al.: Results from “Moms on the Move,” a physical activity intervention for WIC mothers. Ann Behav Med 2004, 27(2):82-90.
  • [5]Kreuter MW, Wray RJ: Tailored and targeted health communication: strategies for enhancing information relevance. Am J Health Behav 2003, 27:S227-S232.
  • [6]Noar SM, Benac C, Harris M: Does tailoring matter? Meta-analytic review of tailored print health behabiour change interventions. Psychol Bull 2007, 133(4):673-693.
  • [7]Michie S, et al.: From theory to intervention: mapping theoretically derived determinants to behaviour change techniques. Appl Psychol Int Rev 2008, 57(4):660-680.
  • [8]Michie S, Abraham C: Interventions to change health behaviours: evidence based or evidence inspired? Psychol Health 2004, 19(1):29-49.
  • [9]Michie S, et al.: Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care 2005, 14(1):26-33.
  • [10]Taylor NJ, Conner M, Lawton R: The impact of theory on the effectiveness of worksite physical activity interventions: a meta-analysis and meta-regression. Health Psychol Rev 2012, 6(1):33-73.
  • [11]Foster C, Hillsdon M, Thorogood M: Interventions for promoting physical activity. Cochrane Database Syst Rev 2005, 2:1-90.
  • [12]Dishman RK, et al.: Worksite physical activity intervention. Am J Prevent Med 1998, 15(4):344-361.
  • [13]Dombrowski SU, et al.: Towards a cumulative science of behaviour change: do current conduct and reporting of behavioural interventions fall short of best practice? Psychol Health 2007, 22:869-874.
  • [14]Rosenstock I: Why people use health services. Milbank Mem Fund Q 1966, 44(suppl):94-127.
  • [15]Ajzen I, Fishbein M: Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall; 1980.
  • [16]Fishbein M, Ajzen I: Belief, attitude, intention, and behaviour: an introduction to theory and research. Reading, MA: Addison-Wesley; 1975.
  • [17]Ajzen I: The theory of planned behaviour. Organ Behav Hum Decis Process 1991, 50:179-211.
  • [18]Ajzen I: From intentions to actions: a theory of planned behavior. In Action control: from cognition to behaviour. Edited by Khul J, Beckman J. Heidelberg: Springer; 1985.
  • [19]Bandura A: Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall; 1986.
  • [20]Kok G, et al.: Intervention mapping: a protocol for applying health psychology theory to prevention programmes. J Health Psychol 2004, 9:85-98.
  • [21]Brug J, Oenema A, Ferreria I: Theory, evidence and intervention mapping to improve behavior nutrition and physical activity interventions. Int J Nutr Physic Act 2005, 2(2):1-7.
  • [22]Schwarzer R: Self-efficacy in the adoption and maintenance of health behaviors: theoretcial approaches and a new mode. In Self-efficacy: Thought Control of Action. Edited by Schwarzer R. Washington DC: Hemisphere; 1992:217-242.
  • [23]Fishbein M, et al.: Factors influencing behavior and behavior change. In Handbook of Health Psychology. Edited by Baum A, Revenson TA, Singer JE. Mahwah: Lawrence Erlbaum Associates; 2001:3-17.
  • [24]Prochaska J, DiClemente CC: Stages of change and the modification of problem health behaviours. In Progress in behaviour modification. Edited by Hersen M, Eisler RM, Miller PM. Sycamore: Sycamore Press; 1992.
  • [25]Moulding NT, Silagy CA, Weller DP: A framework for effective management of change in clinical practice: dissemination and implementation of clinical practice guidelines. Qual Health Care 1999, 8:177-183.
  • [26]Grol R, Grimshaw J: Evidence-based implementation of evidence based medicine. Joint Comm J Qual Improv 1999, 25(10):501-513.
  • [27]Prochaska J, DiClemente CC, Norcross JC: In search of how people change: applications to addictive behaviors. Am Psychol 1992, 47:1102-1114.
  • [28]Cheater F, et al.: Tailored interventions to overcome identified barriers to change: effects on professional practice and health care outcomes. Coch Database Syst Rev 2009, 1:1-32.
  • [29]Grol R: Beliefs and evidence in changing clinical practice. Brit Med J 1997, 315:418-421.
  • [30]Calfas KJ, et al.: Physical activity and its determinants before and after college graduation. Med Exer Nutr Health 1994, 3:323-334.
  • [31]Johnson CA, et al.: Perceived barriers to exercise and weight control practices in community women. Women Health 1990, 16:177-191.
  • [32]Cane J, O’Connor D, Michie S: Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci 2012., 7(37) http://www.implementationscience.com/content/7/1/37 webcite
  • [33]Scholz U, et al.: Increasing physical exercise levels: age-specific benefits of planning. J Aging Health 2007, 19:851-866.
  • [34]Louro MJ, Pieters R, Zeelenberg M: Dynamics of multiple goal pursuit. J Personal Soc Psychol 2007, 93(2):174-193.
  • [35]Seefeldt V, Malina RM, Clark MA: Factors affecting levels of physical activity in adults. Sports Med 2002, 32(3):143-168.
  • [36]Allison KR, Dwyer JJM, Makin S: Perceived barriers to physical activity among high school students. Prev Med 1999, 28:608-615.
  • [37]Bauman AE, et al.: Toward a better understanding of the influences on physical activity. Am J Prev Med 2002, 23(2S):5-14.
  • [38]Booth M, et al.: Physical activity preferences, preferred sources of assistance, and perceived barriers to increased physical activity among physically inactive Australians. Prev Med 1997, 26:131-137.
  • [39]Allender S, Cowburn G, Foster C: Understanding participation in sport and physical activity among children and adults: a review of qualitative studies. Health Educ Res 2006, 21(6):826-835.
  • [40]Zunft HJF, et al.: Perceived benefits and barriers to physical activity in a nationally representative sample. Public Health Nutr 1999, 2(1a):153-160.
  • [41]Trost SG, et al.: Correlates of adults’ participation in physical activity: review and update. Med Sci Sports Exer 2002, 34(12):1996-2001.
  • [42]DeBourdeaudhuij I, Sallis JF: Relative contribution of psychosocial variables to the explanation of physical activity in three population-based adult samples. Prev Med 2002, 34:279-288.
  • [43]Humpel N, Owen N, Leslie E: Environmental factors associated with adults’ participation in physical activity. American Journal of Preventive Medicine 2002, 22(3):188-199.
  • [44]Daskapan A, Tuzan EH, Eker L: Perceived barriers to physical activity in university students. J Sports Sci Med 2006, 5:615-620.
  • [45]Giles-Corti B, Donovan RJ: The relative influence of individual, social and physical environment determinants of physical activity. Soc Sci Med 2002, 54:1793-1812.
  • [46]Gyurcsik NC, et al.: An ecologically based examination of barriers to physical activity in students from grade seven through first-year university. J Adol Health 2006, 38:704-711.
  • [47]Arbuckle JL (Ed): Amos 7.0 User’s Guide. Chicago, IL: SPSS Inc; 2006.
  • [48]Jöreskog KG, Sörbom D: LISREL 8 user’s reference guide. Chicago, IL: Scientific software International; 1993.
  • [49]Jöreskog KG: Testing structural equation models. In Testing structural equation models. Edited by Bollen KA, Long JS. Newbury Park, CA: Sage; 1993:294-316.
  • [50]Fornell C, Larkner D: Evaluating structural equation models with unobservable variable and measurement error. J Mark Res 1981, 18:39-50.
  • [51]Anderson JC, Gerbing DW: Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 1988, 103(3):411-423.
  • [52]George D, Mallery P: SPSS for Windows step by step: A simple guide and reference. 11.0 update. 4th edition. Boston: Allyn & Bacon; 2003.
  • [53]Mardia KV: Applications of some measures of multivariateskewness and kurtosis in testing normality and robustnessstudiess. Sankhya 1974, 35:115-128.
  • [54]Hutchinson SR, Olmos A: Behaviour of descriptive fit indices in confirmatiory factor analysis using ordered categorical data. Struc Eq Modeling 1998, 5:344-364.
  • [55]Hu L, Bentler PM: Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Struc Eq Modeling 1999, 6:1-55.
  • [56]Bollen KA: Structural equations with latent variables. New York: John Wiley & Sons; 1989.
  • [57]Jöreskog KG, Sörbom D: LISREL VI: Analysis of linear structural reiationships by the method of maximum likelihood. Mooresville, IN: Scientific Software. Inc.; 1984.
  • [58]Conner M, Armitage CJ: Extending the theory of planned behaviour: a review and avenues for further research. J App Soc Psychol 1998, 28(15):1429-1464.
  • [59]Conn VS: Older women: social cognitive theory correlates of health behaviour. Women Health 1997, 26:71-84.
  • [60]Gecht MR, et al.: A survey of exercise beliefs and exercise habits among people with arthritis. Arthritis Care Res 1996, 9:82-88.
  • [61]Williams DM, Anderson ES, Winett RA: A review of the outcome expectancy construct in physical activity research. Ann Behav Med 2005, 29(1):70-79.
  • [62]Payne VG, Isaacs LD: Human motor development: a lifespan approach. 3rd edition. Mountain View, C.A: Mayfield; 1995.
  • [63]Okely AD, Booth ML, Patterson JW: Relationship of physical activity to fundamental movement skills among adolescents. Med Sci Sports Exer 2001, 33(11):1899-1904.
  • [64]Taylor NJ, et al.: Development and validation of the online self-reported walking and activity questionnaire. J Physic Act Healthin press
  • [65]Ainsworth BE, et al.: Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports and Exercise 2000, 39(9):S498-S516.
  • [66]Godin G, Shephard RJ: Godin leisure-time exercise questionnaire. Med Sci Sports Exer 1997, 29(June):S36-S38.
  • [67]Craig C, et al.: International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exer 2003, 35(8):1381-1395.
  • [68]Cohen J: A power primer. Psychol Bull 1992, 112:155-159.
  • [69]Little RJA: A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc 1988, 83:1198-1202.
  • [70]Grogan S, et al.: Validation of a questionnaire measuring patient satisfaction with general practitioner services. Qual Health Care 2000, 9:210-215.
  • [71]Bosscher RJ, Smit JH: Confirmatory factor analysis of the general self-efficacy scale. Behav Res Ther 1998, 36:339-343.
  • [72]Bartholomew LK, Ntoumanis N, Thøgersen-Ntoumani C: The controlling interpersonal style in a coaching context: development and initial validation of a psychometric scale. J Sport Exer Psychol 2010, 32:193-216.
  • [73]Johnson CA, Cabom R: Choosing activity: a physical activity action plan. London: D.o. Health; 2005.
  • [74]Booth M, et al.: Effects of a national mass-media campaign on physical activity participation. Health Promo Int 1992, 7:241-247.
  • [75]Francis J, et al.: Evidence-based selection of theories for designing behaviour change interventions: using methods based on theoretical construct domains to understand clinicians’ blood transfusion behaviour. Brit J Health Psychol 2009, 14(4):625-646.
  • [76]Shephard RJ: Limits to the measurement of habitual physical activity by questionnaires. Brit J Sports Med 2003, 37:197-206.
  • [77]Rennie KL, Wareham NJ: The validation of physical activity instruments for measuring energy expenditure: problems and pitfalls. Pub Health Nutr 1998, 1(4):265-271.
  • [78]Baron RM, Kenny DA: The moderator-mediator variable distinction in social psycholofical research: Conceptual, strategic, and statistical considerations. J Per Soc Psychol 1986, 51:1173-1182.
  • [79]Shrout PE, Bolger N: Mediation in experimental and non-experimental studies: New procedures and recommendations. Psychol Methods 2002, 7:422-425.
  • [80]Abraham C, Michie S: A taxonomy of behavior change techniques used in interventions. Health Psychol 2008, 27(3):379-387.
  文献评价指标  
  下载次数:1次 浏览次数:22次