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Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study

BACKGROUND: Previous studies have explored the relationship between body mass index (BMI) and multimorbidity. However, the relationship between other obesity indicators and their dynamic changes and multimorbidity has not been systematically estimated. Therefore, we aimed to investigate the associat...

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Autores principales: Geng, Shuoji, Chen, Xuejiao, Shi, Zhan, Bai, Kaizhi, Shi, Songhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565419/
https://www.ncbi.nlm.nih.gov/pubmed/36240163
http://dx.doi.org/10.1371/journal.pone.0276216
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author Geng, Shuoji
Chen, Xuejiao
Shi, Zhan
Bai, Kaizhi
Shi, Songhe
author_facet Geng, Shuoji
Chen, Xuejiao
Shi, Zhan
Bai, Kaizhi
Shi, Songhe
author_sort Geng, Shuoji
collection PubMed
description BACKGROUND: Previous studies have explored the relationship between body mass index (BMI) and multimorbidity. However, the relationship between other obesity indicators and their dynamic changes and multimorbidity has not been systematically estimated. Therefore, we aimed to investigate the association of BMI and other obesity indicators, including waist circumference (WC), waist-to-height ratio (WHtR), waist divided by height(0.5) (WHT.5R), and body roundness index (BRI) and their changes and the risk of multimorbidity in middle-aged and older adults through a retrospective cohort study. METHODS: Data collected from annual health examination dataset in the Jinshui during 2017 and 2021. Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to evaluate the effect of baseline and dynamic changes in the anthropometric indices on the risk of multimorbidity. RESULTS: A total of 75,028 individuals were included in the study, and 5,886 participants developed multimorbidity during the follow-up. Multivariate Cox regression analysis revealed a progressive increase in the risk of multimorbidity with increasing anthropometric indicators (BMI, WC, WHtR, WHT.5R, and BRI) (all P<0.001). Regardless of general obesity status at baseline, increased WC was associated with a high risk of multimorbidity. Compared to the subjects with baseline BMI<24 kg/m(2) and WC<90 (men)/80 (women), the HRs (95% CI) of the baseline BMI<24 kg/m(2) and WC≥90 (men)/80 (women) group and BMI≥24 kg/m(2) and WC≥90 (men)/80 (women) group were 1.31 (1.08, 1.61) and 1.82 (1.68, 1.97), respectively. In addition, the dynamics of WC could reflect the risk of multimorbidity. When subjects with baseline WC<90 (men)/80 (women) progressed to WC≥90 (men)/80 (women) during follow-up, the risk of multimorbidity significantly increased (HR = 1.78; 95% CI, 1.64, 1.95), while the risk of multimorbidity tended to decrease when people with abnormal WC at baseline reversed to normal at follow-up (HR = 1.40; 95% CI, 1.26, 1.54) compared to those who still exhibited abnormal WC at follow-up (HR = 2.00; 95% CI, 1.82, 2.18). CONCLUSIONS: Central obesity is an independent and alterable risk factor for the occurrence of multimorbidity in middle-aged and elderly populations. In addition to the clinical measurement of BMI, the measurement of the central obesity index WC may provide additional benefits for the identification of multimorbidity in the Chinese middle-aged and elderly populations.
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spelling pubmed-95654192022-10-15 Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study Geng, Shuoji Chen, Xuejiao Shi, Zhan Bai, Kaizhi Shi, Songhe PLoS One Research Article BACKGROUND: Previous studies have explored the relationship between body mass index (BMI) and multimorbidity. However, the relationship between other obesity indicators and their dynamic changes and multimorbidity has not been systematically estimated. Therefore, we aimed to investigate the association of BMI and other obesity indicators, including waist circumference (WC), waist-to-height ratio (WHtR), waist divided by height(0.5) (WHT.5R), and body roundness index (BRI) and their changes and the risk of multimorbidity in middle-aged and older adults through a retrospective cohort study. METHODS: Data collected from annual health examination dataset in the Jinshui during 2017 and 2021. Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to evaluate the effect of baseline and dynamic changes in the anthropometric indices on the risk of multimorbidity. RESULTS: A total of 75,028 individuals were included in the study, and 5,886 participants developed multimorbidity during the follow-up. Multivariate Cox regression analysis revealed a progressive increase in the risk of multimorbidity with increasing anthropometric indicators (BMI, WC, WHtR, WHT.5R, and BRI) (all P<0.001). Regardless of general obesity status at baseline, increased WC was associated with a high risk of multimorbidity. Compared to the subjects with baseline BMI<24 kg/m(2) and WC<90 (men)/80 (women), the HRs (95% CI) of the baseline BMI<24 kg/m(2) and WC≥90 (men)/80 (women) group and BMI≥24 kg/m(2) and WC≥90 (men)/80 (women) group were 1.31 (1.08, 1.61) and 1.82 (1.68, 1.97), respectively. In addition, the dynamics of WC could reflect the risk of multimorbidity. When subjects with baseline WC<90 (men)/80 (women) progressed to WC≥90 (men)/80 (women) during follow-up, the risk of multimorbidity significantly increased (HR = 1.78; 95% CI, 1.64, 1.95), while the risk of multimorbidity tended to decrease when people with abnormal WC at baseline reversed to normal at follow-up (HR = 1.40; 95% CI, 1.26, 1.54) compared to those who still exhibited abnormal WC at follow-up (HR = 2.00; 95% CI, 1.82, 2.18). CONCLUSIONS: Central obesity is an independent and alterable risk factor for the occurrence of multimorbidity in middle-aged and elderly populations. In addition to the clinical measurement of BMI, the measurement of the central obesity index WC may provide additional benefits for the identification of multimorbidity in the Chinese middle-aged and elderly populations. Public Library of Science 2022-10-14 /pmc/articles/PMC9565419/ /pubmed/36240163 http://dx.doi.org/10.1371/journal.pone.0276216 Text en © 2022 Geng et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Geng, Shuoji
Chen, Xuejiao
Shi, Zhan
Bai, Kaizhi
Shi, Songhe
Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study
title Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study
title_full Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study
title_fullStr Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study
title_full_unstemmed Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study
title_short Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study
title_sort association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: a retrospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565419/
https://www.ncbi.nlm.nih.gov/pubmed/36240163
http://dx.doi.org/10.1371/journal.pone.0276216
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