OBJECTIVES This study investigated the associations between several obesity-related anthropometric indices and mortality in middle-aged and elderly populations to compare the indices’ predictive ability with that of the body mass index (BMI).
METHODS
We analyzed data on 12 indices calculated from 19,805 community-based cohort participants (average age, 63.27 years; median follow-up, 13.49 years). Each index was calculated using directly measured values of height, weight, waist circumference (WC), and hip circumference (HC). We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for each index using Cox regression and evaluated mortality prediction with the Harrell concordance index (c-index).
RESULTS
Adding anthropometric indices to the basic mortality model (c-index, 0.7723; 95% CI, 0.7647 to 0.7799) significantly increased the predictive power of BMI (c-index, 0.7735; 95% CI, 0.7659 to 0.7811), a body shape index (ABSI; c-index, 0.7735; 95% CI, 0.7659 to 0.7810), weight-adjusted waist index (WWI; c-index, 0.7731; 95% CI, 0.7656 to 0.7807), and waist to hip index (WHI; c-index, 0.7733; 95% CI, 0.7657 to 0.7809). The differences between the BMI model and the other 3 models were not statistically significant.
CONCLUSIONS
In predicting all-cause mortality, the ABSI, WWI, and WHI models based on WC or HC had stronger predictive power than conventional risk factors but were not significantly different from the BMI model.
Summary
Korean summary
- 다수의 비만관련 신체계측지표들이 사망률을 유의하게 예측하였지만 체질량지수보다 통계적으로 우월하지는 않았다.
- 복부둘레가 고려된 비만지표들이 사망률예측에 더 유용할 것으로 추정된다.
Key Message
- Several obesity indices provided predictive value for all-cause mortality but were not superior to body mass index
- Obesity indices that take abdominal circumference into account are likely to be more useful for predicting mortality.
Citations
Citations to this article as recorded by
Accumulated subcutaneous fat in abdomen is associated with long COVID-19 symptoms among non-hospitalized patients: a prospective observational study Tingxin Li, Baoming He, Yuping Liu, Chen Wang Frontiers in Medicine.2024;[Epub] CrossRef
OBJECTIVES The purpose of this study was to establish a basis for improving or strengthening the preventive strategy against scrub typhus in Korea by comparing and analyzing the difference of prevention behaviors contributing to the occurrence of scrub typhus in Japan and Korea.
METHODS
The survey was carried out in Jeollabuk-do, which is a high risk and high incidence area, and Fukuoka Prefecture, which is a high risk and low incidence area. The study included 406 Korean farmers and 216 Japanese farmers. Data were collected through face-to-face surveys by interviewers who had completed standardized education.
RESULTS
Korean farmers have a higher percentage of agricultural working posture that involved contact with weeds than Japanese farmers (p<0.05). The frequency and proportion of weeding were lower in Korean farmers than in Japanese farmers (p<0.05). The level of knowledge about scrub typhus was significantly higher among Korean farmers than among Japanese farmers (p<0.05). Mostly, the behavior of agriculture work was more appropriate for Japanese farmers than for Korean farmers (p<0.05). The total average level of agricultural work was lower in Korea than in Japan, lower in men than women, and lower in part-time farmers than full-time farmers (p<0.05).
CONCLUSIONS
This study suggests that it is reasonable to develop and provide a program that can improve the level of preventive behavior taking into consideration the characteristics of the subject in order to reduce the incidence of diseases in high-risk areas for scrub typhus.
Summary
Korean summary
이 연구는 쯔쯔가무시증 발생 위험은 공통으로 존재하나 발생률 및 발생 건수에서는 현저한 차이를 나타내는 한·일 농업인들의 털진드기 매개체에 대한 접촉과 관련된 행태나 환경 관리의 차이를 파악하였다. 연구결과 한국은 일본에 비해 환경관리 수준이 낮고, 풀숲과 접촉할 수 있는 농작업 자세를 더 취하고 있었으며, 쯔쯔가무시증에 대한 지식 수준은 높으나 예방행태 수행 수준은 낮았다. 이 연구는 한국의 농업인들의 쯔쯔가무시증 발생을 억제하기 위해서는 예방행태를 향상시킬 수 있는 프로그램 개발과 제공이 필요함을 제시하고 있다.
Citations
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Exploring the influencing factors of scrub typhus in Gannan region, China, based on spatial regression modelling and geographical detector Kailun Pan, Fen Lin, Hua Xue, Qingfeng Cai, Renfa Huang Infectious Disease Modelling.2025; 10(1): 28. CrossRef
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Exploring the effects and interactions of meteorological factors on the incidence of scrub typhus in Ganzhou City, 2008–2021 Kailun Pan, Renfa Huang, Lingui Xu, Fen Lin BMC Public Health.2024;[Epub] CrossRef
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Epidemiological Aspects of Tsutsugamushi Disease (Scrub Typhus) Outbreaks in Republic of Korea and Japan Myeong-Jin Lee, Bok Soon Han, Won-Chang Lee, Young Hwan Kwon The Korean Journal of Aerospace and Environmental Medicine.2022; 32(2): 65. CrossRef
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