Modelling the compensatory and carry-over effects between physical activity and fruit-vegetable consumption in young adults

Physical activity (PA) and fruit and vegetable consumption (FVC) are crucial factors jointly affecting young adults’ physical and mental health. However, the psychosocial interactive mechanisms of these behaviors remain understudied. Using a two-wave prospective design over two months, this study in...

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Bibliographic Details
Published in:Scientific reports 2024-12, Vol.14 (1), p.30851-10, Article 30851
Main Authors: Duan, Yanping, Liang, Wei, Wang, Yanping, Hu, Chun, Lippke, Sonia
Format: Article
Language:English
Subjects:
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Adolescent
Adult
Behavior
Carry-over mechanism
Compensatory cognition
Dietary behavior
Exercise
Exercise - physiology
Exercise - psychology
Feeding Behavior - physiology
Feeding Behavior - psychology
Female
Fruit
Fruits
Health Behavior
Humanities and Social Sciences
Humans
Male
multidisciplinary
Multiple health behavior change
Physical activity
Prospective Studies
Science
Science (multidisciplinary)
Self Efficacy
Social behavior
Social interactions
Social-cognitive determinant
Students - psychology
Vegetables
Young Adult
Young adults
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Summary:Physical activity (PA) and fruit and vegetable consumption (FVC) are crucial factors jointly affecting young adults’ physical and mental health. However, the psychosocial interactive mechanisms of these behaviors remain understudied. Using a two-wave prospective design over two months, this study investigated the psychological mechanisms underlying multiple health behavior change (MHBC) through a novel two-layer social-cognitive framework, the Compensatory Carry-Over Action Model (CCAM), among 322 Chinese college students (19.47 ± 0.99 years; 55.6% female). Structural equation modeling with path analysis was conducted using Mplus 8.8 for data analysis. Results indicated an acceptable model fit for the hypothesized model, with χ 2  = 120.845, df  = 41, χ 2 / df  = 2.947, CFI  = 0.940, TLI  = 0.901, RMSEA  = 0.078 [90% CI = 0.062 to 0.094], and SRMR  = 0.079. The model explained 54.9% and 50.0% of the variance in PA and FVC, respectively. In the first layer, focusing on the individual behavior change process, both volitional self-efficacy and planning were identified as significant mediators in the intention-behavior relationship for PA and FVC (indirect effects = 0.03 to 0.14, all p   .05). However, volitional self-efficacy and planning played a significant mediating role in the interaction between PA/FVC intention and FVC/PA behavior (indirect effects = 0.01 to 0.04, all p  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-81585-7