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Original Articles
Comparative analysis of body mass index and obesity-related anthropometric indices for mortality prediction: a study of the Namwon and Dong-gu cohort in Korea
Ye Rim Kim, Min-Ho Shin, Young-Hoon Lee, Seong-Woo Choi, Hae-Sung Nam, Jeong-Ho Yang, Sun-Seog Kweon
Epidemiol Health. 2024;46:e2024066.   Published online July 17, 2024
DOI: https://doi.org/10.4178/epih.e2024066
  • 1,850 View
  • 63 Download
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
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
Differences in accuracy of height, weight, and body mass index between self-reported and measured using the 2018 Korea Community Health Survey data
Yoonsil Ko, Sunhye Choi, Jisoo Won, Yeon-Kyeng Lee, Dong-Hyun Kim, Seon Kui Lee
Epidemiol Health. 2022;44:e2022024.   Published online February 19, 2022
DOI: https://doi.org/10.4178/epih.e2022024
  • 12,396 View
  • 401 Download
  • 10 Web of Science
  • 9 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
This study aimed to determine an effective survey method for the accurate calculation of obesity prevalence by comparing the self-reported and measured height, weight, and body mass index (BMI) using the 2018 Korea Community Healthy Survey (CHS) data.
METHODS
Raw data from the 2018 CHS were used to analyze the differences, correlation, and agreement between self-reported and measured height, weight, and BMI.
RESULTS
The self-reported height was over-reported than the measured height (0.59 cm greater for men and 0.71 cm greater for women), while the self-reported weight was under-reported than the measured weight (0.55 kg less for men and 0.67 kg less for women). Subsequently, the self-reported BMI was under-estimated (0.35 kg/m<sup>2</sup> lower for men and 0.49 kg/m<sup>2</sup> lower for women) compared with the measured BMI. The kappa statistic and agreement between measured and self-reported values per BMI category (underweight, normal, overweight, and obesity) were 0.82 and 79.6%, respectively.
CONCLUSIONS
The prevalence of obesity should be calculated using the measured values provided in the CHS in order to promote local health projects based on accurate evidence.
Summary
Korean summary
본 연구는 2018년 지역사회건강조사 원시자료를 이용하여, 자가보고된 신장, 체중, 그리고 체질량지수 값과 실제 측정한 값 간에 차이를 분석하고 상관성과 일치도를 확인하고자 하였으며, 확인결과 자가보고값 체질량지수는 측정값보다 과소측정(남자의 경우 측정값보다 자가보고값이 0.35kg/m2 낮게, 여자는 0.49kg/m2 낮게 측정)된것을 확인하였다.
Key Message
This study aimed to determine an effective survey method for the accurate calculation of obesity prevalence by comparing the self-reported and measured height, weight, and body mass index (BMI) using the 2018 Community Healthy Survey (CHS) data.

Citations

Citations to this article as recorded by  
  • Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions: data from a community-based study in Xi’an, China
    Haobiao Liu, Yanru Zhao, Lichun Qiao, Congying Yang, Ying Yang, Tianxiao Zhang, Qian Wu, Jing Han
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • A cultural models approach to understanding body fatness perceptions and disordered eating in young South Korean men
    Lawrence T. Monocello, Jason M. Lavender, Lauren A. Fowler, Ellen E. Fitzsimmons‐Craft, Denise E. Wilfley
    International Journal of Eating Disorders.2024; 57(10): 2074.     CrossRef
  • 고령 여성을 위한 보행 보조차 치수 개선 방안
    진희 박, 길호 정
    Journal of the Korean Society of Clothing and Textiles.2024; 48(1): 108.     CrossRef
  • Validity of Measured vs. Self-Reported Weight and Height and Practical Considerations for Enhancing Reliability in Clinical and Epidemiological Studies: A Systematic Review
    Khadijah Fayyaz, Mo’ath F. Bataineh, Habiba I. Ali, Ali M. Al-Nawaiseh, Rami H. Al-Rifai’, Hafiz M. Shahbaz
    Nutrients.2024; 16(11): 1704.     CrossRef
  • Accuracy of self-reported height, weight, and waist circumference in poor, rural areas of China
    Hongjuan Cao, Zhuang Zhang, Junqing Zhang, Quanzhi Wang, Liang Yu, Shaoyu Xie, Li-Bing Zhang, Hao Fu, Kaichun Li, Tianyi Shen, Xiude Li
    PeerJ.2024; 12: e18525.     CrossRef
  • Comparison of self-reported and measured height and weight in patients with psoriasis
    Simona Mastroeni, Francesca Sampogna, Claudia Uras, Mara De Angelis, Roberta Fusari, Nidia Melo Salcedo, Sabatino Pallotta, Damiano Abeni
    Archives of Dermatological Research.2023; 315(7): 2023.     CrossRef
  • Accuracy of Assessing Weight Status in Adults by Structured Observation
    Tânia Jorge, Sofia Sousa, Isabel do Carmo, Nuno Lunet, Patrícia Padrão
    Applied Sciences.2023; 13(14): 8185.     CrossRef
  • Changes in health behaviors and obesity of Korean adolescents before and during the COVID-19 pandemic: a special report using the Korea Youth Risk Behavior Survey
    Chang-Mo Oh, Yangha Kim, Jieun Yang, Sunhye Choi, Kyungwon Oh
    Epidemiology and Health.2023; 45: e2023018.     CrossRef
  • Tobacco consumption, sales, and output as monitoring indicators in the era of the tobacco endgame: a Korean example
    Hana Kim, Hee-kyoung Nam, Heewon Kang
    Epidemiology and Health.2023; 45: e2023030.     CrossRef
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