| 杨姗姗,王盛书,李蓉蓉,陈仕敏,李皓炜,李雪航,宋扬,王建华,赵亚力,李靖,朱乔,甯超学,台朋岗,刘广东,刘淼,何耀.海南百岁老人12项肥胖相关指标与全因死亡的关联研究[J].Chinese journal of Epidemiology,2023,44(1):106-114 |
| 海南百岁老人12项肥胖相关指标与全因死亡的关联研究 |
| Association between 12 obesity related indicators and all-cause death in Hainan centenarians |
| Received:April 13, 2022 |
| DOI：10.3760/cma.j.cn112338-20220413-00290 |
| KeyWord: 百岁老人 身体测量指标 全因死亡 队列研究 |
| English Key Word: Centenarian Anthropometric indicator All-cause death Cohort study |
| FundProject:国家自然科学基金（82173589，82173590，81941021）；首都卫生发展科研专项（2022-2G-5031）；国家重点研发计划（2018YFC2000400） |
| Author Name | Affiliation | E-mail | | Yang Shanshan | Department of Disease Prevention and Control, First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | | Wang Shengshu | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
Department of Healthcare, Agency for Offices Administration, Central Military Commission, People's Republic of China, Beijing 100082, China | | | Li Rongrong | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
Chinese People's Liberation Army Medical School, Beijing 100853, China | | | Chen Shimin | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | | Li Haowei | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | | Li Xuehang | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
Chinese People's Liberation Army Medical School, Beijing 100853, China | | | Song Yang | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
Health Corps, Special Combat Detachment of Xinjiang Armed Police Crops, Aksu 843000, China | | | Wang Jianhua | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | | Zhao Yali | Central Laboratory, Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China | | | Li Jing | Health Service Department, Fifth Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | | Zhu Qiao | Central Laboratory, Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China | | | Ning Chaoxue | Central Laboratory, Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China | | | Tai Penggang | Health Service Department, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | | Liu Guangdong | Health Service Department, Sixth Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | | Liu Miao | Department of Statistics and Epidemiology, Graduate School, Chinese People's Liberation Army General Hospital, Beijing 100853, China | liumiaolmbxb@163.com | | He Yao | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
State Key Laboratory of Kidney Diseases, Beijing 100853, China | yhe301@sina.com |
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| Abstract: |
| 目的 描述和分析BMI、腰围、腰臀比、腰高比、小腿围、腰围小腿围比值（WCR）、脂质蓄积指数（LAP）、内脏脂肪指数（VAI）、中国内脏脂肪指数（CVAI）、身体形态指数、中国身体形态指数（CABSI）和身体圆度指数与海南百岁老人全因死亡间的关联。方法 整群抽样方法抽取的海南百岁老人共1 002人。随访时间的M（Q1，Q3）为4.16（1.31，5.04）年，结局为全因死亡，使用Cox比例风险回归分析各肥胖相关身体测量指标与全因死亡的关联，并使用受试者工作特征曲线曲线下面积（AUC）进行比较。结果 总人群中小腿围对全因死亡的判定能力最强，AUC为0.61（95%CI：0.57~0.64），分性别结果与总人群一致（P<0.05）。WCR次之（AUC为0.58），再次是BMI、LAP和腰围，AUC分别为0.55、0.55和0.54，而CABSI、腰臀比和VAI的判定能力较弱，AUC分别为0.51、0.50和0.50。结论 本研究比较了12项肥胖相关指标与海南百岁老人全因死亡间的关联，发现小腿围的预测判定能力最好，且呈剂量反应关系，提示可作为长寿老人死亡风险预测的参考指标。 |
| English Abstract: |
| Objective To describe and analyze the relationship between traditional and new obesity related anthropometric indicators and all-cause death in centenarians in Hainan, the traditional and new obesity related anthropometric indicators included BMI, waist circumference (WC), waist hip ratio (WHR), waist height ratio, calf circumference (CC), waist-calf ratio (WCR), lipid accumulation product (LAP), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), a body shape index (ABSI), a body shape index of Chinese (CABSI) and body roundness index. Methods A total of 1 002 centenarians in Hainan were selected by cluster sampling. The M(Q1,Q3) follow-up time was 4.16 (1.31, 5.04) years and the outcome was all-cause death. Multiple Cox regression model was used to analyze the relationship between the obesity related anthropometric indicators and all-cause death, and the area under receiver operating characteristic curve was used for comparison. Results In all the centenarians, CC had the strongest power to predict death, with area under curve (AUC) of 0.61 (95%CI:0.57-0.64), the gender specific results were consistent with that in overall population (P<0.05), followed by WCR with AUC of 0.58, and then BMI, LAP and WC with AUC of 0.55, 0.55 and 0.54 respectively, while CABSI, WHR and VAI had the weaker power to predict death with AUC of 0.51, 0.50 and 0.50 respectively. Conclusions This was the first study to prospectively compare and analyze the association between 12 obesity related anthropometric indicators and all-cause death in a large sample cohort of centenarians in China. It was found that CC had the best prediction power for death, and the risk for death decreased with the increase of CC value in a dose-response manner. It is suggested that CC can be used as a reference index for death risk monitoring in the elderly. |
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