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Dimensional model for estimating factors influencing childhood obesity: path analysis based modeling.

Kheirollahpour M, Shohaimi S - ScientificWorldJournal (2014)

Bottom Line: Finally, a comprehensive model was devised to show how these factors relate to each other as well as to the body mass index (BMI) of the children simultaneously.Concerning the methodology of the current study, confirmatory factor analysis (CFA) was applied to reveal the hidden (secondary) effect of socioeconomic factors on feeding practice and ultimately on the weight status of the children and also to determine the degree of model fit.The comprehensive structural model tested in this study suggested that there are significant direct and indirect relationships among variables of interest.

View Article: PubMed Central - PubMed

Affiliation: The Department of Biology, Faculty of Science, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia.

ABSTRACT
The main objective of this study is to identify and develop a comprehensive model which estimates and evaluates the overall relations among the factors that lead to weight gain in children by using structural equation modeling. The proposed models in this study explore the connection among the socioeconomic status of the family, parental feeding practice, and physical activity. Six structural models were tested to identify the direct and indirect relationship between the socioeconomic status and parental feeding practice general level of physical activity, and weight status of children. Finally, a comprehensive model was devised to show how these factors relate to each other as well as to the body mass index (BMI) of the children simultaneously. Concerning the methodology of the current study, confirmatory factor analysis (CFA) was applied to reveal the hidden (secondary) effect of socioeconomic factors on feeding practice and ultimately on the weight status of the children and also to determine the degree of model fit. The comprehensive structural model tested in this study suggested that there are significant direct and indirect relationships among variables of interest. Moreover, the results suggest that parental feeding practice and physical activity are mediators in the structural model.

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Measurement model in same line (without exogenous or endogenous variables).
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig6: Measurement model in same line (without exogenous or endogenous variables).

Mentions: Existence of multicollinearity was a serious threat to the SEM. Usually low discriminant validity of the factors will cause the multicollinearity. In order to test the discriminant validity of the factors, measurement model must be checked. The full model without considering the exogenous or endogenous variable would be presented. Regarding this, all latent variables were considered in one level. In Figure 6, curve lines showed the covariance between latent variables. As illustrated in Table 6, all the indices meet the criteria; (χ2(22,379) = 136.224, P value <0.05, CMIN = 3.640, CFI = 0.915, TLI = 0.955, GFI = 0.914, and RMSEA = 0.023). The full measurement model of this study was fitted to data well. In addition, Figure 6 showed that none of factor loading coefficients was less than 0.5. Also the covariance between the constructs that was shown in Figure 6 illustrated a strong relation between these latent variables (parental feeding practice, physical activity, and socioeconomic status).


Dimensional model for estimating factors influencing childhood obesity: path analysis based modeling.

Kheirollahpour M, Shohaimi S - ScientificWorldJournal (2014)

Measurement model in same line (without exogenous or endogenous variables).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4109107&req=5

fig6: Measurement model in same line (without exogenous or endogenous variables).
Mentions: Existence of multicollinearity was a serious threat to the SEM. Usually low discriminant validity of the factors will cause the multicollinearity. In order to test the discriminant validity of the factors, measurement model must be checked. The full model without considering the exogenous or endogenous variable would be presented. Regarding this, all latent variables were considered in one level. In Figure 6, curve lines showed the covariance between latent variables. As illustrated in Table 6, all the indices meet the criteria; (χ2(22,379) = 136.224, P value <0.05, CMIN = 3.640, CFI = 0.915, TLI = 0.955, GFI = 0.914, and RMSEA = 0.023). The full measurement model of this study was fitted to data well. In addition, Figure 6 showed that none of factor loading coefficients was less than 0.5. Also the covariance between the constructs that was shown in Figure 6 illustrated a strong relation between these latent variables (parental feeding practice, physical activity, and socioeconomic status).

Bottom Line: Finally, a comprehensive model was devised to show how these factors relate to each other as well as to the body mass index (BMI) of the children simultaneously.Concerning the methodology of the current study, confirmatory factor analysis (CFA) was applied to reveal the hidden (secondary) effect of socioeconomic factors on feeding practice and ultimately on the weight status of the children and also to determine the degree of model fit.The comprehensive structural model tested in this study suggested that there are significant direct and indirect relationships among variables of interest.

View Article: PubMed Central - PubMed

Affiliation: The Department of Biology, Faculty of Science, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia.

ABSTRACT
The main objective of this study is to identify and develop a comprehensive model which estimates and evaluates the overall relations among the factors that lead to weight gain in children by using structural equation modeling. The proposed models in this study explore the connection among the socioeconomic status of the family, parental feeding practice, and physical activity. Six structural models were tested to identify the direct and indirect relationship between the socioeconomic status and parental feeding practice general level of physical activity, and weight status of children. Finally, a comprehensive model was devised to show how these factors relate to each other as well as to the body mass index (BMI) of the children simultaneously. Concerning the methodology of the current study, confirmatory factor analysis (CFA) was applied to reveal the hidden (secondary) effect of socioeconomic factors on feeding practice and ultimately on the weight status of the children and also to determine the degree of model fit. The comprehensive structural model tested in this study suggested that there are significant direct and indirect relationships among variables of interest. Moreover, the results suggest that parental feeding practice and physical activity are mediators in the structural model.

Show MeSH