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Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created p...

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Main Authors:	Jenatabadi, Hashem Salarzadeh, Radzi, Che Wan Jasimah Bt Wan Mohamed, Samsudin, Nadia
Format:	Article
Published:	MDPI 2020
Subjects:	Q Science (General) QP Physiology
Online Access:	http://eprints.um.edu.my/36579/
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spelling	my.um.eprints.365792023-12-01T01:07:16Z http://eprints.um.edu.my/36579/ Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach Jenatabadi, Hashem Salarzadeh Radzi, Che Wan Jasimah Bt Wan Mohamed Samsudin, Nadia Q Science (General) QP Physiology As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators. MDPI 2020-07 Article PeerReviewed Jenatabadi, Hashem Salarzadeh and Radzi, Che Wan Jasimah Bt Wan Mohamed and Samsudin, Nadia (2020) Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach. International Journal of Environmental Research and Public Health, 17 (14). ISSN 1660-4601, DOI https://doi.org/10.3390/ijerph17145201 <https://doi.org/10.3390/ijerph17145201>. 10.3390/ijerph17145201
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	Q Science (General) QP Physiology
spellingShingle	Q Science (General) QP Physiology Jenatabadi, Hashem Salarzadeh Radzi, Che Wan Jasimah Bt Wan Mohamed Samsudin, Nadia Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach
description	As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.
format	Article
author	Jenatabadi, Hashem Salarzadeh Radzi, Che Wan Jasimah Bt Wan Mohamed Samsudin, Nadia
author_facet	Jenatabadi, Hashem Salarzadeh Radzi, Che Wan Jasimah Bt Wan Mohamed Samsudin, Nadia
author_sort	Jenatabadi, Hashem Salarzadeh
title	Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach
title_short	Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach
title_full	Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach
title_fullStr	Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach
title_full_unstemmed	Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach
title_sort	associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: a structural equation approach
publisher	MDPI
publishDate	2020
url	http://eprints.um.edu.my/36579/
_version_	1784511825702813696
score	13.211869

Associations of body mass index with demographics, lifestyle, food intake, and mental health among postpartum women: A structural equation approach

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