Age-Dependent Association Between Body Mass Index and All-Cause Mortality Among Patients with Hypertension: A Longitudinal Population-Based Cohort Study in China

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Clinical Epidemiology Pub Date : 2023-12-07 DOI:10.2147/clep.s442162
Yifang Huang, Jiahuan Peng, Weibing Wang, Xueying Zheng, Guoyou Qin, Huilin Xu
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Abstract

Purpose: The association between body mass index (BMI) and all-cause mortality may vary among hypertensive patients of different ages. This study aimed to investigate the age-dependent association between BMI and all-cause mortality among patients with hypertension. Patients and Methods: A total of 212,394 participants with hypertension aged 20–85 years from Minhang Hypertension Standardization Management System in Shanghai of China were included. Follow-up began at the time when individuals were first recorded and ended at death, loss to follow-up, or December 31, 2018, whichever came first. Additive Cox proportional hazards models with thin plate smoothing functions and conventional Cox proportional hazards models were adopted to examine the relationship between BMI, age, and mortality. The joint effect of BMI and age on mortality was assessed using a bivariate response model. Results: We found that the BMI–mortality relationship followed a U-shaped pattern, with a trough at 26–27 kg/m 2 . Compared with normal weight, underweight was associated with a 50% increased risk of premature mortality (hazard ratio 1.50, 95% confidence interval 1.43 to 1.57). Whereas among those aged 45–59 and 60–85 years, overweight was associated with 13% (0.87, 0.80 to 0.94) and 18% (0.82, 0.80 to 0.84) reduction in risk of death, respectively. Bivariate response model indicated a significant interaction between BMI and age (P < 0.05). Among younger and older patients, we found a descending trend for mortality risk, with BMI increasing at different age levels, whereas a reverse J-shaped relation pattern was observed among middle-aged patients. Conclusion: The impact of BMI on all-cause mortality in hypertensive patients varies with age, and moderate weight gain may benefit longevity in middle-aged and older patients.
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中国高血压患者体重指数与全因死亡率的年龄相关性:一项基于人群的纵向队列研究
目的:不同年龄的高血压患者身体质量指数(BMI)与全因死亡率的关系可能不同。本研究旨在探讨高血压患者BMI与全因死亡率之间的年龄依赖关系。患者和方法:从中国上海闵行高血压标准化管理系统中纳入年龄在20 - 85岁的高血压患者212394例。随访从个人首次记录时开始,并于死亡、随访失败或2018年12月31日结束,以先到者为准。采用带薄板平滑函数的加性Cox比例风险模型和常规Cox比例风险模型检验BMI、年龄和死亡率之间的关系。使用双变量反应模型评估BMI和年龄对死亡率的联合影响。结果:bmi与死亡率呈u型关系,在26 ~ 27 kg/m2时呈波谷。与正常体重相比,体重过轻与过早死亡风险增加50%相关(风险比1.50,95%可信区间1.43 ~ 1.57)。而在45 - 59岁和60 - 85岁的人群中,超重分别与13%(0.87,0.80至0.94)和18%(0.82,0.80至0.84)的死亡风险降低相关。双变量反应模型显示BMI与年龄之间存在显著的相互作用(P <0.05)。在年轻和老年患者中,我们发现死亡率风险呈下降趋势,BMI在不同年龄水平呈上升趋势,而在中年患者中则呈反j型关系。结论:BMI对高血压患者全因死亡率的影响随年龄的不同而不同,适度的体重增加可能有利于中老年患者的长寿。关键词:体重指数,年龄,全因死亡率,高血压,广义加性模型
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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