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Prediction model of all-cause death based on balance ability among middle-aged and older Chinese adults of overweight and obesity

Bibliographic Data

ID22087667
AuthorsKaihong Xie (0009-0005-8305-370X, Zhejiang Chinese Medical University), Xiao Han (0000-0001-5129-3788, Peking University), Jia Lu (0000-0002-3476-6413, Zhejiang Chinese Medical University), Xiao Xu (0000-0002-9394-2245, Zhejiang Chinese Medical University, corresponding author), Xuanhan Hu (0000-0003-2019-0799, Zhejiang Chinese Medical University, corresponding author)
Year2022
Volume10
Pages1039718-1039718
Publication date2022-12-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1039718
PMID36620250
OpenAlexW4312187067
LanguageEN
References cited40

Background Advances in studies using body indicators to predict death risk. Estimating the balance ability of death risk in middle-aged and older Chinese adults with overweight and obesity is still challenging. Methods A retrospective analysis of the data from the China Health and Retirement Study from January 2011 to December 2018. A total of 8,632 participants were randomly divided into 7:3 a training group and a verification group, respectively. Univariable Cox analysis was used to prescreen 17 potential predictors for incorporation in the subsequent multivariable Cox analysis. Nine variables were included in the nomogram finally and validated with concordance index (C-index), calibration plots, Hosmer-Lemeshow test, and internal validation population. Results 287 participants were death in the training group. One hundred and thirteen participants were death in the verification group. A total of nine indicators were included in the modeling group, including gender, age, marriage, hypertension, diabetes, stroke, ADL, IADL, and balance ability to establish a prediction model. The nomogram predicted death with a validated concordance index of (C-index = 0.77, 95% CI: 0.74–0.80). The inclusion of balance ability variables in the nomogram maintained predictive accuracy (C-index = 0.77, 95% CI: 0.73–0.82). The calibration curve graph and Hosmer-Lemeshow test ( P > 0.05 for both the modeling group and the verification group) showed the model has a good model consistency. Conclusion In the present study, we provide a basis for developing a prediction model for middle-aged and older people with overweight and obesity. In most cases, balance ability is more reversible than other predictors

Body mass index · Concordance · Environmental health · Nomogram · Obesity · Overweight · Physical therapy · Population · Proportional hazards model · Balance, Gait, and Falls Prevention · Chronic Disease Management Strategies · Demography · Health disparities and outcomes · Medicine · Gerontology · Internal Medicine

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    Yaohui Zhao, Yisong Hu et al.•International Journal of…•2014

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