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Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults

OBJECTIVES: Physical activity and fruit and vegetable consumption are two key health behaviours associated with the health and well‐being of middle‐aged and older adults. The present research investigated how habit and self‐determined motivation interact with intention to prospectively predict physi...

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Autores principales: Mullan, Barbara, Olivier, Claudia, Thøgersen‐Ntoumani, Cecilie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519144/
https://www.ncbi.nlm.nih.gov/pubmed/33938096
http://dx.doi.org/10.1111/bjhp.12522
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author Mullan, Barbara
Olivier, Claudia
Thøgersen‐Ntoumani, Cecilie
author_facet Mullan, Barbara
Olivier, Claudia
Thøgersen‐Ntoumani, Cecilie
author_sort Mullan, Barbara
collection PubMed
description OBJECTIVES: Physical activity and fruit and vegetable consumption are two key health behaviours associated with the health and well‐being of middle‐aged and older adults. The present research investigated how habit and self‐determined motivation interact with intention to prospectively predict physical activity and fruit and vegetable consumption in middle‐aged and older adults. DESIGN: A prospective correlational design (two data collection points) was used. METHODS: A convenience sample of 195 adults completed online questionnaires measuring intention, habit, and self‐determined motivation. One week later, 177 participants (67.2% female), aged 52–87 years (M = 61.50, SD = 5.90), completed self‐report measures of physical activity and fruit and vegetable consumption over the previous week. RESULTS: Separate hierarchical multiple regression analyses were conducted. For physical activity, the model explained 46% of the variance in behaviour, F(8, 168) = 17.88, p < .001 and a large effect size (ƒ (2) = .85). Two‐way interactions contributed an additional 3.70% of unique variance in physical activity, F(3, 165) = 4.07, p = .008, ƒ (2) = .04. For fruit and vegetable consumption, the model explained 19.20% of the variance in behaviour, F(5, 171) = 8.13, p < .001 and a medium effect size (ƒ (2) = .24). Two‐way interactions did not significantly improve the model, F(3, 168) = 1.68, p = .174. CONCLUSIONS: Habit and self‐determined motivation were both important in narrowing the intention–behaviour gap for two key health behaviours, and combining these processes may better inform strategies to support people’s intentions to improve these health behaviours.
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spelling pubmed-85191442021-10-22 Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults Mullan, Barbara Olivier, Claudia Thøgersen‐Ntoumani, Cecilie Br J Health Psychol Original Articles OBJECTIVES: Physical activity and fruit and vegetable consumption are two key health behaviours associated with the health and well‐being of middle‐aged and older adults. The present research investigated how habit and self‐determined motivation interact with intention to prospectively predict physical activity and fruit and vegetable consumption in middle‐aged and older adults. DESIGN: A prospective correlational design (two data collection points) was used. METHODS: A convenience sample of 195 adults completed online questionnaires measuring intention, habit, and self‐determined motivation. One week later, 177 participants (67.2% female), aged 52–87 years (M = 61.50, SD = 5.90), completed self‐report measures of physical activity and fruit and vegetable consumption over the previous week. RESULTS: Separate hierarchical multiple regression analyses were conducted. For physical activity, the model explained 46% of the variance in behaviour, F(8, 168) = 17.88, p < .001 and a large effect size (ƒ (2) = .85). Two‐way interactions contributed an additional 3.70% of unique variance in physical activity, F(3, 165) = 4.07, p = .008, ƒ (2) = .04. For fruit and vegetable consumption, the model explained 19.20% of the variance in behaviour, F(5, 171) = 8.13, p < .001 and a medium effect size (ƒ (2) = .24). Two‐way interactions did not significantly improve the model, F(3, 168) = 1.68, p = .174. CONCLUSIONS: Habit and self‐determined motivation were both important in narrowing the intention–behaviour gap for two key health behaviours, and combining these processes may better inform strategies to support people’s intentions to improve these health behaviours. John Wiley and Sons Inc. 2021-05-02 2021-11 /pmc/articles/PMC8519144/ /pubmed/33938096 http://dx.doi.org/10.1111/bjhp.12522 Text en © 2021 The Authors. British Journal of Health Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Mullan, Barbara
Olivier, Claudia
Thøgersen‐Ntoumani, Cecilie
Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults
title Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults
title_full Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults
title_fullStr Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults
title_full_unstemmed Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults
title_short Mind the gap: Habit and self‐determined motivation predict health behaviours in middle‐aged and older adults
title_sort mind the gap: habit and self‐determined motivation predict health behaviours in middle‐aged and older adults
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519144/
https://www.ncbi.nlm.nih.gov/pubmed/33938096
http://dx.doi.org/10.1111/bjhp.12522
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