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. 2023:45:e2023046.
doi: 10.4178/epih.e2023046. Epub 2023 Apr 17.

Association of multiple anthropometric indices with in 944,760 elderly Chinese people

Lirong Dong  1 , Yuanyuan Wang  2 , Jinshui Xu  1 , Yang Zhou  1 , Guiju Sun  2 , Dakang Ji  2 , Haijian Guo  1 , Baoli Zhu  1   3
Affiliations

Association of multiple anthropometric indices with in 944,760 elderly Chinese people

Lirong Dong et al. Epidemiol Health. 2023.

Abstract

Objectives: The aims of this study were to update the latest data on the prevalence of hypertension (HTN) in the elderly Chinese population and to assess relationships between new anthropometric indices and HTN.

Methods: Data were obtained from the Basic Public Health Service (BPHS) survey for Jiangsu Province, China. A total of 944,760 people aged 65 years and older were included in this study. Blood pressure was measured by trained investigators. Body weight, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), conicity index (COI), body roundness index (BRI), and a body shape index (ABSI) were included in the analysis as anthropometric indices. Logistic regression analysis and restricted cubic splines were used to evaluate the association of anthropometric indices with HTN.

Results: The prevalence of HTN among elderly residents of Jiangsu Province was 64.7% (95% confidence interval, 64.6 to 64.8). After adjusting for multiple covariates, all anthropometric indices except ABSI showed significant non-linear positive dose-response associations with HTN across sex (pnonlinear<0.001). Among participants with BMI <28 kg/m2, abnormal weight, WC, WtHR, BRI, COI, and ABSI were positively associated with HTN.

Conclusions: The prevalence of HTN in the elderly in Jiangsu Province is gradually increasing. It is necessary to consider the combination of ABSI and COI with BMI for screening elderly individuals for HTN in follow-up prospective studies.

Keywords: Aging; Anthropometric indices; Hypertension.

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Conflict of interest statement

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare for this study.

Figures

Figure 1.
Figure 1.
Flowchart of the research participants from Basic Public Health Service (BPHS) in Jiangsu Province, China.
Figure 2.
Figure 2.
Prevalence for hypertension stratified by sex (A: male, B: female) and region.
Figure 3.
Figure 3.
Restricted cubic splines of multiple anthropometric indices associated with hypertension sex (A: male, B: female) - specific elderly populations. OR, odds ratio; CI, confidence interval.
See this image and copyright information in PMC

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