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. 2018 Aug 17;18(1):1024.
doi: 10.1186/s12889-018-5949-9.

Objectively measured physical activity in population-representative parent-child pairs: parental modelling matters and is context-specific

Collaborators, Affiliations

Objectively measured physical activity in population-representative parent-child pairs: parental modelling matters and is context-specific

Bettina Bringolf-Isler et al. BMC Public Health. .

Abstract

Background: Evidence for the context-specific influence of parental modelling on physical activity (PA) in childhood remains inconclusive. This nationwide Swiss study assessed the cross-sectional association between objectively measured PA of parents and their children and whether it varied across different levels of sociodemographic and environmental factors. In a second step a structural equation-model (SEM) was used to assess, whether associations between children's PA and sociodemographic and environmental factors are mediated by the parental PA behaviour.

Methods: The population-based sample of the SOPHYA-study consisted of 889 children aged 6 to 16 years living in Switzerland and 1059 parents. PA was measured using accelerometers. Information on sociodemographics, sports behaviour, family characteristics, and perceived environment was obtained by telephone interview and parental questionnaire. Objective environmental data was allocated to each family's residential address using GIS (geographic information system). A structural equation model tested these factors for both independent associations with children's PA and associations mediated through the parental PA behaviour.

Results: Parental moderate to vigorous physical activity (MVPA) was associated with MVPA of their children in general (p < 0.001). Correlations between parents' and children's MVPA were stronger for children aged 10-12 years and for those living in the Italian speaking part of Switzerland. An increase of 1 min of mother's and of father's MVPA was associated with 0.24 and 0.21 min more MVPA in children, respectively. Father's PA was associated with that of their sons, but not with that of their daughters, whereas the association of mothers' and children's PA did not depend on the parent-offspring sex-match. The pathway analysis in our structural equation model showed direct effects on children's MVPA as well as indirect effects mediated by the parental PA behaviour.

Conclusions: Parental modelling seems relevant for children's PA, but not to the same degree in all children. Interventions focusing on strengthening parental PA behaviour for the promotion of PA in the young must consider additional contextual factors related to the socio-cultural and structural environment.

Keywords: Accelerometer; Adolescents; Children; Co-activity; Cycling; Language region; Sociodemographics; Walkability.

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Conflict of interest statement

Ethics approval and consent to participate

The study protocol was approved by the ethics committee of the Canton Basel (EKBB, Reference number 147/13). All parents and children aged 12 years and older gave written informed consent for their participation. For the younger children a parent provided the written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Flow chart of the study population
Fig. 2
Fig. 2
SEM of the direct and the indirect (via parental PA behavior) effect on children’s MVPA, SEM = structure equation model, Family factor 2 is based on nationality (non-Swiss = reference) and parental education (low = reference), The values display the average change (Coeff. (95% Confidence interval)) in the child’s minutes spent in MVPA/day associated with the respective factor level (as compared to the reference level) or with a one unit change in the respective predictor variable, * p < 0.05, ** p ≤ 0.01, *** p ≤ 0.001, N = 852, if both parents wore an accelerometer the mother has been included. Fit statistic: RMSEA (root mean square error of approximation): 0.04 (90%CI: 0.03; 0.05), NNFI (non-normed fit index): 0.904, CFI (comparative fit index) 0.947. R2 of the model for the latent variable “parental physical activity behaviour” = 0.123

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