Cited by 575Behavioral Health and InterventionsNutrition, Health and Food BehaviorHealth and Wellbeing Research

The DOI matches its Crossref record; 70 of the 71 references it cites were found in a registry or an index; 2 of the 77 sources its claims cite were checked for support.

A Systematic Review and Meta-analysis of Applications of the Self-Report Habit Index to Nutrition and Physical Activity Behaviours

Gardner, Benjamin, de Bruijn, Gert-Jan, Lally, Phillippa·2011·Annals of Behavioral Medicine

Abstract

BACKGROUND: Health behaviour models typically neglect habitual action. The Self-Report Habit Index (SRHI) permits synthesis of evidence of the influence of habit on behaviour. PURPOSE: The purpose of this study is to review evidence around mean habit strength, habit-behaviour correlations, and habit x intention interactions, from applications of the SRHI to dietary, physical activity, and active travel behaviour. METHOD: Electronic database searches identified 126 potentially relevant papers. Twenty-two papers (21 datasets) passed eligibility screening. Mean scores and correlations were meta-analysed using fixed, random and mixed effects, and interactions were synthesised via narrative review. RESULTS: Twenty-three habit-behaviour correlations and nine habit x intention interaction tests were found. Typical habit strength was located around the SRHI midpoint. Weighted habit-behaviour effects were medium-to-strong (fixed: r + = 0.44; random: r + = 0.46). Eight tests found that habit moderated the intention-behaviour relation. CONCLUSION: More comprehensive understanding of nutrition and activity behaviours will be achieved by accounting for habitual responses to contextual cues.

Overview

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Written from the paper’s full text.

TL;DR

This systematic review and meta-analysis synthesized 21 datasets using the Self-Report Habit Index (SRHI) in nutrition, physical activity, inactivity, and active travel. Habit strength was typically near the SRHI midpoint, habit-behaviour correlations were medium-to-strong, and habit moderated the intention-behaviour relation in eight of nine tests.

Key findings

  • Across 22 eligible papers (21 unique datasets), the grand weighted mean SRHI score was near the scale midpoint: fixed-effects 48.61% (random-effects 49.30%). Nutrition habits averaged ~43%, whereas general physical activity/inactivity averaged ~60% and active travel ~55%; nutrition scores were significantly lower than general physical (in)activity scores (Q_B=52.59, p<0.001).
  • The weighted habit-behaviour correlation was medium-to-strong: fixed-effects r+=0.44 and random-effects r+=0.46 (both p<0.001), with failsafe N=7,011 but strong heterogeneity (Q=223.01, p<0.001; I²=91.03). Active travel correlations were stronger (fixed r+=0.65; random r+=0.70) than those for general physical activity or nutrition (Q_B=12.79, p<0.001).
  • Eight of nine tests found that habit moderated the intention-behaviour relationship, such that intention had less impact on behaviour as habit strength increased. One leisure-time activity study found no moderation when controlling for habit, TPB variables, intention stability, and an intention×intention-stability interaction (p=0.12).

Methods

  • Systematic review and meta-analysis using a descendency search of five databases (PsycInfo, Medline, Embase, Web of Knowledge, Scopus) on 29 January 2011, with no date limits; 126 records were screened, and 22 papers (21 datasets) met eligibility criteria.
  • Eligible studies were English-language, peer-reviewed primary-data papers using the 12-item SRHI for dietary intake (excluding alcohol), physical activity/inactivity, or active travel, and reporting a matched or counterhabitual habit-behaviour association or a habit moderation test.
  • Means and bivariate habit-behaviour correlations were meta-analyzed in Comprehensive Meta Analysis using fixed, random, and mixed effects, Fisher’s Z transformations, Q and I² heterogeneity statistics, and Rosenthal’s failsafe N; moderation effects were synthesized narratively because partial correlations across models were not comparable.

Limitations

  • Stated: many included studies were cross-sectional and modelled habit as a predictor of past behaviour, which conflicts with the expected temporal sequence; most behaviour measures were self-reported, and the two objective-measure studies posted lower habit-behaviour correlations, suggesting self-reports may inflate effects.
  • Stated: SRHI items relating to behavioural frequency may inflate habit-behaviour correlations; interaction findings may reflect publication bias, and all interaction studies focused on intention-concordant habits with often strong habit-intention correlations, limiting external validity.
  • Stated/evident: heterogeneity was high and subgroup analyses could not reliably attribute it to methodological characteristics; active travel findings may be an artefact of few studies (k=3), and physical inactivity analyses were underpowered for heterogeneity and precluded failsafe N calculation.

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Integrity signals

Registry

Crossref · 10.1007/s12160-011-9282-0

Cites

70 of 70 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

52 Not checked yet · 42 Own result · 10 Own method · 10 No basis given · 9 Own interpretation · 1 Supported so far

Verify all 75 references — free account

Show all 55 claims

  • Probably not a substantial claim. 36
  • It may state two separate claims as one. 48
69 of 69
  • The paper relies on this without support.

    No systematic review of applications of the SRHI to dietary and physical activity habits is available.

    “Despite growing theoretical and empirical research interest in the relevance of habit to health behaviour [16,17,31], no systematic review of applications of the SRHI to dietary and physical activity habits is available.”
  • The authors state this as an assumption.

    The everyday contexts that support habits remain stable and are regularly encountered.

    “First, assuming the everyday contexts that support habits remain stable and are regularly encountered, habit strength will correlate with behavioural frequency.”
  • The authors state this as an assumption.

    Within-study habit score distributions are normal.

    “assuming normal within-study habit score distributions”
  • The paper relies on this without support.

    Self-reports of behaviour are prone to inaccuracy.

    “which are prone to inaccuracy”
4 of 4

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Citations

Cites

Show all 71 references

Research works printed but not linked: 4

  1. Organisation for Economic Co-operation and Development. OECD Health Data 2010. Paris: Organisation for Economic Co-operation and Development; 2010.
  2. World Health Organisation. WHO Mega Country Health Promotion Network: Behavioural Risk Factor Surveillance Guide. Genera: World Health Organisation; 2002.
  3. Craig R, Mindell J, Harani V. Health Survey for England 2008. London: NHS Information Centre; 2009.
  4. Hedges LV, Olkin I. Statistical methods for meta-analysis. Orlando: Academic Press; 1985.

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Metadata

Authors
Gardner, B., de Bruijn, G.-J., & Lally, P.
Affiliations
University College London (GB)
Venue
Annals of Behavioral Medicine
Published
2011-05-28
Volume
42
Issue
2
Pages
174-187
ISSN
  • 0742-5554 (ISSN-L)
  • 0883-6612
  • 1532-4796
OpenAlex
W2074638810
Cited by
574
References
71
Citations by year
2026: 25 · 2025: 32 · 2024: 43 · 2023: 40 · 2022: 43 · 2021: 40 · 2020: 111 · 2019: 41 · 2018: 38 · 2017: 34 · 2016: 30 · 2015: 25 · 2014: 28 · 2013: 25 · 2012: 10
FWCI
4.03
Type
journal article
Language
en
Open access
closed
Locations
  • Annals of Behavioral Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • UvA-DARE (University of Amsterdam) (publishedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Health Sciences › Health Professions › General Health Professions › Health and Wellbeing Research
Keywords
Self-Report Habit Index, habit strength, habitual behavior, dietary behaviour, physical activity, active travel, intention-behavior relationship, health behavior models, contextual cues
MeSH terms
Habits, Humans, Motor Activity, Nutritional Status, Travel, Health Behavior, Self Report

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