| 海南百岁老人12项肥胖相关指标与全因死亡的关联研究题录 |
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| 引用本文： | 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题录[J].中华流行病学杂志,2023,44(1):106-114. |
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| 作者姓名： | 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 |
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| 作者单位： | 解放军总医院第一医学中心疾病预防控制科, 北京 100853;解放军总医院第二医学中心老年医学研究所, 衰老及相关疾病研究北京市重点实验室, 国家老年疾病临床医学研究中心, 北京 100853;中央军委机关事务管理总局服务局保健室, 北京 100082;解放军总医院第二医学中心老年医学研究所, 衰老及相关疾病研究北京市重点实验室, 国家老年疾病临床医学研究中心, 北京 100853;解放军医学院, 北京 100853;解放军总医院第二医学中心老年医学研究所, 衰老及相关疾病研究北京市重点实验室, 国家老年疾病临床医学研究中心, 北京 100853;武警新疆总队特战支队卫生队, 阿克苏 843000;解放军总医院海南医院中心实验室, 三亚 572013;解放军总医院第五医学中心卫勤部, 北京 100853;解放军总医院卫勤部, 北京 100853;解放军总医院第六医学中心卫勤部, 北京 100853;解放军总医院研究生院统计学与流行病学教研室, 北京 100853;解放军总医院第二医学中心老年医学研究所, 衰老及相关疾病研究北京市重点实验室, 国家老年疾病临床医学研究中心, 北京 100853;肾脏疾病国家重点实验室, 北京 100853 |
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| 基金项目： | 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） |
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| 摘 要： | 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...
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| 关 键 词： | 百岁老人 身体测量指标 全因死亡 队列研究 |
| 收稿时间： | 2022/4/13 0:00:00 |
Association between 12 obesity related indicators and all-cause death in Hainan centenarians |
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| Yang Shanshan,Wang Shengshu,Li Rongrong,Chen Shimin,Li Haowei,Li Xuehang,Song Yang,Wang Jianhu,Zhao Yali,Li Jing,Zhu Qiao,Ning Chaoxue,Tai Penggang,Liu Guangdong,Liu Miao,He Yao.Association between 12 obesity related indicators and all-cause death in Hainan centenarians[J].Chinese Journal of Epidemiology,2023,44(1):106-114. |
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| Authors: | Yang Shanshan Wang Shengshu Li Rongrong Chen Shimin Li Haowei Li Xuehang Song Yang Wang Jianhu Zhao Yali Li Jing Zhu Qiao Ning Chaoxue Tai Penggang Liu Guangdong Liu Miao He Yao |
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| Institution: | Department of Disease Prevention and Control, First Medical Center, Chinese People''s Liberation Army General Hospital, Beijing 100853, China;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;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;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;Central Laboratory, Hainan Hospital, Chinese People''s Liberation Army General Hospital, Sanya 572013, China;Health Service Department, Fifth Medical Center, Chinese People''s Liberation Army General Hospital, Beijing 100853, China;Health Service Department, Chinese People''s Liberation Army General Hospital, Beijing 100853, China;Health Service Department, Sixth Medical Center, Chinese People''s Liberation Army General Hospital, Beijing 100853, China;Department of Statistics and Epidemiology, Graduate School, Chinese People''s Liberation Army General Hospital, Beijing 100853, China; 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 |
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| 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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| Keywords: | Centenarian Anthropometric indicator All-cause death Cohort study |
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