老年人身体指数与死亡率的关系:日本特定健康检查(J-SHC)研究。

Takaaki Kosugi, Masahiro Eriguchi, Hisako Yoshida, Hiroyuki Tamaki, Takayuki Uemura, Hikari Tasaki, Riri Furuyama, Masatoshi Nishimoto, Masaru Matsui, Ken-Ichi Samejima, Kunitoshi Iseki, Shouichi Fujimoto, Tsuneo Konta, Toshiki Moriyama, Kunihiro Yamagata, Ichiei Narita, Masato Kasahara, Yugo Shibagaki, Masahide Kondo, Koichi Asahi, Tsuyoshi Watanabe, Kazuhiko Tsuruya
{"title":"老年人身体指数与死亡率的关系:日本特定健康检查(J-SHC)研究。","authors":"Takaaki Kosugi, Masahiro Eriguchi, Hisako Yoshida, Hiroyuki Tamaki, Takayuki Uemura, Hikari Tasaki, Riri Furuyama, Masatoshi Nishimoto, Masaru Matsui, Ken-Ichi Samejima, Kunitoshi Iseki, Shouichi Fujimoto, Tsuneo Konta, Toshiki Moriyama, Kunihiro Yamagata, Ichiei Narita, Masato Kasahara, Yugo Shibagaki, Masahide Kondo, Koichi Asahi, Tsuyoshi Watanabe, Kazuhiko Tsuruya","doi":"10.1111/jgs.19244","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Obesity indices reflect not only fat mass but also muscle mass and nutritional status in older people. Therefore, they may not accurately reflect prognosis. This study aimed to investigate associations between a body shape index (ABSI), body mass index (BMI), and mortality in the general older population.</p><p><strong>Methods: </strong>This nationwide observational longitudinal study included individuals aged between 65 and 74 years who underwent annual health checkups between 2008 and 2014. Exposures of interest were ABSI and BMI, and the primary outcome was all-cause mortality. Association between the ABSI and BMI quartile (Q1-4) and mortality was assessed using Cox regression analysis. A restricted cubic spline was also used to investigate nonlinear associations. The missing values were imputed using multiple imputation by chained equations.</p><p><strong>Results: </strong>Among 315,215 participants, 5074 died during a median follow-up period of 42.5 (interquartile range: 26.2-59.3) months. Compared with ABSI Q1, ABSI Q3 and Q4 were associated with increased risk of mortality, with the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of 1.13 (1.05-1.22) and 1.23 (1.13-1.35), respectively. Compared with BMI Q3, BMI Q1 and Q2 were associated with an increased risk of mortality, with aHRs and 95% CIs of 1.51 (1.39-1.65) and 1.12 (1.03-1.22), respectively. The impacts of these indices were greater in male than in female. The heatmap of the aHR for mortality by continuous ABSI and BMI showed that higher ABSI was consistently associated with higher mortality risk regardless of BMI, and that the combination of low BMI and high ABSI was strongly associated with increased mortality risk.</p><p><strong>Conclusions: </strong>High ABSI and low BMI are additively associated with the risk of all-cause mortality in the general older population in Japan. Combination of ABSI and BMI is useful for evaluating mortality risk in older people.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of body indices with mortality in older population: Japan Specific Health Checkups (J-SHC) Study.\",\"authors\":\"Takaaki Kosugi, Masahiro Eriguchi, Hisako Yoshida, Hiroyuki Tamaki, Takayuki Uemura, Hikari Tasaki, Riri Furuyama, Masatoshi Nishimoto, Masaru Matsui, Ken-Ichi Samejima, Kunitoshi Iseki, Shouichi Fujimoto, Tsuneo Konta, Toshiki Moriyama, Kunihiro Yamagata, Ichiei Narita, Masato Kasahara, Yugo Shibagaki, Masahide Kondo, Koichi Asahi, Tsuyoshi Watanabe, Kazuhiko Tsuruya\",\"doi\":\"10.1111/jgs.19244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Obesity indices reflect not only fat mass but also muscle mass and nutritional status in older people. Therefore, they may not accurately reflect prognosis. This study aimed to investigate associations between a body shape index (ABSI), body mass index (BMI), and mortality in the general older population.</p><p><strong>Methods: </strong>This nationwide observational longitudinal study included individuals aged between 65 and 74 years who underwent annual health checkups between 2008 and 2014. Exposures of interest were ABSI and BMI, and the primary outcome was all-cause mortality. Association between the ABSI and BMI quartile (Q1-4) and mortality was assessed using Cox regression analysis. A restricted cubic spline was also used to investigate nonlinear associations. The missing values were imputed using multiple imputation by chained equations.</p><p><strong>Results: </strong>Among 315,215 participants, 5074 died during a median follow-up period of 42.5 (interquartile range: 26.2-59.3) months. Compared with ABSI Q1, ABSI Q3 and Q4 were associated with increased risk of mortality, with the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of 1.13 (1.05-1.22) and 1.23 (1.13-1.35), respectively. Compared with BMI Q3, BMI Q1 and Q2 were associated with an increased risk of mortality, with aHRs and 95% CIs of 1.51 (1.39-1.65) and 1.12 (1.03-1.22), respectively. The impacts of these indices were greater in male than in female. The heatmap of the aHR for mortality by continuous ABSI and BMI showed that higher ABSI was consistently associated with higher mortality risk regardless of BMI, and that the combination of low BMI and high ABSI was strongly associated with increased mortality risk.</p><p><strong>Conclusions: </strong>High ABSI and low BMI are additively associated with the risk of all-cause mortality in the general older population in Japan. Combination of ABSI and BMI is useful for evaluating mortality risk in older people.</p>\",\"PeriodicalId\":94112,\"journal\":{\"name\":\"Journal of the American Geriatrics Society\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Geriatrics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/jgs.19244\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Geriatrics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/jgs.19244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:肥胖指数不仅能反映老年人的脂肪量,还能反映肌肉量和营养状况。因此,它们可能无法准确反映预后。本研究旨在调查体形指数(ABSI)、体重指数(BMI)与普通老年人口死亡率之间的关系:这项全国性的观察性纵向研究纳入了年龄在 65 岁至 74 岁之间、在 2008 年至 2014 年期间接受过年度健康检查的人群。研究关注的暴露因素是ABSI和体重指数,主要结果是全因死亡率。采用 Cox 回归分析评估了 ABSI 和 BMI 四分位数(Q1-4)与死亡率之间的关系。限制性三次样条曲线也用于研究非线性关联。缺失值通过链式方程进行多重估算:在 315215 名参与者中,有 5074 人在中位 42.5 个月(四分位间范围:26.2-59.3)的随访期间死亡。与 ABSI Q1 相比,ABSI Q3 和 Q4 与死亡风险增加有关,调整后的危险比 (aHR) 和 95% 置信区间 (CI) 分别为 1.13 (1.05-1.22) 和 1.23 (1.13-1.35)。与 BMI Q3 相比,BMI Q1 和 Q2 与死亡风险增加有关,aHRs 和 95% 置信区间分别为 1.51 (1.39-1.65) 和 1.12 (1.03-1.22)。这些指数对男性的影响大于女性。根据连续 ABSI 和体重指数绘制的死亡率 aHR 热图显示,无论体重指数如何,较高的 ABSI 始终与较高的死亡风险相关,而低体重指数和高 ABSI 的组合与死亡风险的增加密切相关:结论:在日本的普通老年人群中,高 ABSI 和低 BMI 与全因死亡风险呈叠加关系。结合 ABSI 和 BMI 可以评估老年人的死亡风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of body indices with mortality in older population: Japan Specific Health Checkups (J-SHC) Study.

Background: Obesity indices reflect not only fat mass but also muscle mass and nutritional status in older people. Therefore, they may not accurately reflect prognosis. This study aimed to investigate associations between a body shape index (ABSI), body mass index (BMI), and mortality in the general older population.

Methods: This nationwide observational longitudinal study included individuals aged between 65 and 74 years who underwent annual health checkups between 2008 and 2014. Exposures of interest were ABSI and BMI, and the primary outcome was all-cause mortality. Association between the ABSI and BMI quartile (Q1-4) and mortality was assessed using Cox regression analysis. A restricted cubic spline was also used to investigate nonlinear associations. The missing values were imputed using multiple imputation by chained equations.

Results: Among 315,215 participants, 5074 died during a median follow-up period of 42.5 (interquartile range: 26.2-59.3) months. Compared with ABSI Q1, ABSI Q3 and Q4 were associated with increased risk of mortality, with the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of 1.13 (1.05-1.22) and 1.23 (1.13-1.35), respectively. Compared with BMI Q3, BMI Q1 and Q2 were associated with an increased risk of mortality, with aHRs and 95% CIs of 1.51 (1.39-1.65) and 1.12 (1.03-1.22), respectively. The impacts of these indices were greater in male than in female. The heatmap of the aHR for mortality by continuous ABSI and BMI showed that higher ABSI was consistently associated with higher mortality risk regardless of BMI, and that the combination of low BMI and high ABSI was strongly associated with increased mortality risk.

Conclusions: High ABSI and low BMI are additively associated with the risk of all-cause mortality in the general older population in Japan. Combination of ABSI and BMI is useful for evaluating mortality risk in older people.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊介绍:
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信