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Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model

INTRODUCTION: Body mass index (BMI) has a strong correlation with chronic diseases and all-cause mortality. However, few studies have previously reported the longitudinal transition of BMI status and its influential factors, especially among Chinese middle-aged and older adults. METHODS: This popula...

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Autores principales: Pei, Heming, Kang, Ning, Guo, Chao, Zhang, Yalu, Chu, Haitao, Chen, Gong, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386243/
https://www.ncbi.nlm.nih.gov/pubmed/35991043
http://dx.doi.org/10.3389/fpubh.2022.973191
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author Pei, Heming
Kang, Ning
Guo, Chao
Zhang, Yalu
Chu, Haitao
Chen, Gong
Zhang, Lei
author_facet Pei, Heming
Kang, Ning
Guo, Chao
Zhang, Yalu
Chu, Haitao
Chen, Gong
Zhang, Lei
author_sort Pei, Heming
collection PubMed
description INTRODUCTION: Body mass index (BMI) has a strong correlation with chronic diseases and all-cause mortality. However, few studies have previously reported the longitudinal transition of BMI status and its influential factors, especially among Chinese middle-aged and older adults. METHODS: This population-based cohort study involved 6,507 participants derived from the China Health and Retirement Longitudinal Study from 2011 to 2015, including objectively measured BMI recorded in 26,028 person-year of all observations followed up. Multistate Markov model was performed to estimate the BMI state transition intensity and hazard ratios of each potential exposure risk. RESULTS: The mean intensity of the population that shifted from normal to overweight was more than twice than shifted to underweight. Besides, a predicted probability was up to 16.16% that the population with overweight would suffer from obesity and more than half of the population with underweight would return to normal weight over a 6-year interval. The study also implied significant effects of baseline age, gender, marital status, education level, alcohol consumption, smoking, depression symptoms, and activities of daily living impairment on BMI status transition to varying degrees. CONCLUSIONS: Findings of this study indicated that the mean transition probability between different BMI statuses varied, specific exposure factors serving as barriers or motivators to future transitions based on current BMI status was clarified for the health promotion strategies.
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spelling pubmed-93862432022-08-19 Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model Pei, Heming Kang, Ning Guo, Chao Zhang, Yalu Chu, Haitao Chen, Gong Zhang, Lei Front Public Health Public Health INTRODUCTION: Body mass index (BMI) has a strong correlation with chronic diseases and all-cause mortality. However, few studies have previously reported the longitudinal transition of BMI status and its influential factors, especially among Chinese middle-aged and older adults. METHODS: This population-based cohort study involved 6,507 participants derived from the China Health and Retirement Longitudinal Study from 2011 to 2015, including objectively measured BMI recorded in 26,028 person-year of all observations followed up. Multistate Markov model was performed to estimate the BMI state transition intensity and hazard ratios of each potential exposure risk. RESULTS: The mean intensity of the population that shifted from normal to overweight was more than twice than shifted to underweight. Besides, a predicted probability was up to 16.16% that the population with overweight would suffer from obesity and more than half of the population with underweight would return to normal weight over a 6-year interval. The study also implied significant effects of baseline age, gender, marital status, education level, alcohol consumption, smoking, depression symptoms, and activities of daily living impairment on BMI status transition to varying degrees. CONCLUSIONS: Findings of this study indicated that the mean transition probability between different BMI statuses varied, specific exposure factors serving as barriers or motivators to future transitions based on current BMI status was clarified for the health promotion strategies. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9386243/ /pubmed/35991043 http://dx.doi.org/10.3389/fpubh.2022.973191 Text en Copyright © 2022 Pei, Kang, Guo, Zhang, Chu, Chen and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Pei, Heming
Kang, Ning
Guo, Chao
Zhang, Yalu
Chu, Haitao
Chen, Gong
Zhang, Lei
Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model
title Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model
title_full Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model
title_fullStr Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model
title_full_unstemmed Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model
title_short Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model
title_sort longitudinal transition of body mass index status and its associated factors among chinese middle-aged and older adults in markov model
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386243/
https://www.ncbi.nlm.nih.gov/pubmed/35991043
http://dx.doi.org/10.3389/fpubh.2022.973191
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