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

• 영문명: Association of multiple anthropometric indices with in 944,760 elderly Chinese people
• 발행기관: 한국역학회
• 저자명: Lirong Dong Yuanyuan Wang Jinshui Xu Yang Zhou Guiju Sun Dakang Ji Haijian Guo Baoli Zhu
• 간행물 정보: 『Epidemiology and Health』45, 1~9쪽, 전체 9쪽
• 주제분류: 의약학 > 면역학
• 파일형태: PDF
• 발행일자: 2023.01.01

영문 초록

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.

목차

INTRODUCTION

MATERIALS AND METHODS

RESULTS

DISCUSSION

DATA AVAILABILITY

SUPPLEMENTARY MATERIALS

CONFLICT OF INTEREST

FUNDING

ACKNOWLEDGEMENTS

AUTHOR CONTRIBUTIONS

ORCID

REFERENCES

키워드

Hypertension Anthropometric indices Aging