Utility of temporal self-regulation theory in health and social behaviours: A meta-analysis

被引:11
作者
Dorina, Indita [1 ,2 ,3 ]
Mullan, Barbara [1 ,2 ,3 ,5 ]
Boyes, Mark [1 ]
Liddelow, Caitlin [2 ,4 ]
机构
[1] Curtin Univ, Fac Hlth Sci, Sch Populat Hlth, Perth, WA, Australia
[2] Curtin Univ, enAble Res Inst, Fac Hlth Sci, Behav Sci & Hlth Res Grp, Perth, WA, Australia
[3] Curtin Univ, enAble Res Inst, Fac Hlth Sci, Western Australia Canc Prevent Unit, Perth, WA, Australia
[4] Univ Wollongong, Fac Arts Social Sci & Humanities, Sch Psychol, Global Alliance Mental Hlth & Sport, Wollongong, NSW, Australia
[5] Curtin Univ, Bldg 408, Kent St, Bentley, WA 6102, Australia
关键词
health behaviour; intention-behaviour gap; meta-analysis; social behaviour; temporal self-regulation theory; PLANNED BEHAVIOR; PAST BEHAVIOR; SLEEP HYGIENE; HABIT; GAP; INTENTIONS; UNDERSTAND; ADHERENCE; ROLES;
D O I
10.1111/bjhp.12631
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
PurposeTemporal self-regulation theory was developed to address an observed intention-behaviour gap across behaviours. However, a synthesis of studies has not yet been conducted to investigate the theory's utility to explain behaviour and bridge the intention-behaviour gap. This review aimed to evaluate the predictive ability of temporal self-regulation theory to understanding behaviour and pre-registered at PROSPERO (ID: CRD42021253174). MethodForward citation searches on the original theory publication through Google Scholar until May 2021 identified 37 eligible articles, including, 12,555 participants assessing at least two of the three theory constructs. Random-effects meta-analyses assessed the strength of associations between theory constructs on behaviour and random effects meta-regressions assessed moderators of behaviour. ResultsFindings provide support for temporal self-regulation theory to explain behaviour with very weak (self-regulatory capacity r = .039, CI = .00, -.07) to moderate (intention r = .331, CI = .26, .40; behavioural pre-potency r = .379, CI = .32, .44) effect sizes. Further, the strength of associations varied across behaviour types and contexts. However, there was high heterogeneity across studies and some moderating effects could not be assessed due to insufficient numbers of studies assessing interactions. ConclusionsWe urge researchers to assess and report interactions for better understanding of the drivers of behaviour to develop effective interventions for positive behaviour change.
引用
收藏
页码:397 / 438
页数:42
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