Examining the active ingredients of physical activity interventions underpinned by theory versus no stated theory: a meta-analysis

被引:89
作者
McEwan, Desmond [1 ]
Beauchamp, Mark R. [2 ]
Kouvousis, Christina [2 ]
Ray, Christina M. [2 ]
Wyrough, Anne [2 ]
Rhodes, Ryan E. [1 ]
机构
[1] Univ Victoria, Behav Med Lab, Victoria, BC, Canada
[2] Univ British Columbia, Psychol Exercise Hlth & Phys Act Lab, Vancouver, BC, Canada
基金
加拿大健康研究院;
关键词
Behaviour change; physical activity; exercise; health; intervention; theory; FILE-DRAWER PROBLEM; BEHAVIOR; TAXONOMY; MODEL;
D O I
10.1080/17437199.2018.1547120
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
In this meta-analysis, we sought to examine the 'active ingredients' (or behaviour change techniques; BCTs) used within theory-based physical activity interventions compared to interventions with no stated theory. We retrieved 171 peer-reviewed studies (224 total interventions) that used a controlled experimental design from 68 previous reviews of physical activity interventions. Data from each intervention were coded with regard to their use of theory and inclusion of 16 BCT clusters within the physical activity intervention. There were no significant differences in the overall effect sizes between theory-based (k = 148, d = 0.48) and no-stated-theory (k = 77, d = 0.37) interventions. Theory-based interventions incorporated a greater number of BCT clusters on average (6.1) compared to no-stated-theory interventions (4.5). Significant effects were shown for interventions that incorporated at least three BCT clusters (d = 0.48) but not for those that used one or two (d = 0.20). Several BCT clusters were more likely to be present in theory-based interventions than no-stated-theory interventions. Significant effects on physical activity were also shown for theory-based interventions that incorporated any of the 16 BCT clusters coded, but only for 9 out of 11 no-stated-theory interventions in this regard (for which effect sizes could be calculated). Taken together, these findings suggest that although the overall effects on physical activity do not differ significantly between theory-based and no-stated-theory interventions, these interventions often differ in their composition of BCTs. Moreover, for interventions utilising certain BCT clusters (namely, 'self-belief' and 'association'), theory may be necessary to derive significant effects.
引用
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页码:1 / 17
页数:17
相关论文
共 32 条
  • [1] A taxonomy of behavior change techniques used in interventions
    Abraham, Charles
    Michie, Susan
    [J]. HEALTH PSYCHOLOGY, 2008, 27 (03) : 379 - 387
  • [2] [Anonymous], PROSPERO INT PROSPEC
  • [3] [Anonymous], 2011, INTRO METAANALYSIS
  • [4] Health promotion by social cognitive means
    Bandura, A
    [J]. HEALTH EDUCATION & BEHAVIOR, 2004, 31 (02) : 143 - 164
  • [5] Effectiveness of interventions to promote physical activity among socioeconomically disadvantaged women: a systematic review and meta-analysis
    Cleland, V.
    Granados, A.
    Crawford, D.
    Winzenberg, T.
    Ball, K.
    [J]. OBESITY REVIEWS, 2013, 14 (03) : 197 - 212
  • [6] A POWER PRIMER
    COHEN, J
    [J]. PSYCHOLOGICAL BULLETIN, 1992, 112 (01) : 155 - 159
  • [7] Interventions to Increase Physical Activity Among Healthy Adults: Meta-Analysis of Outcomes
    Conn, Vicki S.
    Hafdahl, Adam R.
    Mehr, David R.
    [J]. AMERICAN JOURNAL OF PUBLIC HEALTH, 2011, 101 (04) : 751 - 758
  • [8] Apps of Steel: Are Exercise Apps Providing Consumers With Realistic Expectations? A Content Analysis of Exercise Apps for Presence of Behavior Change Theory
    Cowan, Logan T.
    Van Wagenen, Sarah A.
    Brown, Brittany A.
    Hedin, Riley J.
    Seino-Stephan, Yukiko
    Hall, P. Cougar
    West, Joshua H.
    [J]. HEALTH EDUCATION & BEHAVIOR, 2013, 40 (02) : 133 - 139
  • [9] A meta-analysis of priming effects on impression formation supporting a general model of informational biases
    DeCoster, J
    Claypool, HM
    [J]. PERSONALITY AND SOCIAL PSYCHOLOGY REVIEW, 2004, 8 (01) : 2 - 27
  • [10] The economic burden of physical inactivity: a global analysis of major non-communicable diseases
    Ding, Ding
    Lawson, Kenny D.
    Kolbe-Alexander, Tracy L.
    Finkelstein, Eric A.
    Katzmarzyk, Peter T.
    van Mechelen, Willem
    Pratt, Michael
    [J]. LANCET, 2016, 388 (10051) : 1311 - 1324