제2형 당뇨병 예측을 위한 비만지표와 위험 요인의 영향력 탐색
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김영주 | - |
dc.contributor.author | 염현이 | - |
dc.date.accessioned | 2024-04-01T08:30:28Z | - |
dc.date.available | 2024-04-01T08:30:28Z | - |
dc.date.issued | 2024-02 | - |
dc.identifier.issn | 2465-8014 | - |
dc.identifier.issn | 2465-8022 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/32780 | - |
dc.description.abstract | Objectives: Obesity is a global health concern, widely recognized for its association with the risk of developing type 2 diabetes. This study aimed to investigate the relative predictive efficacy of obesity-related indicators, including BMI, body fat percentage, and waist-to-hip ratio, in predicting the inci- dence of type 2 diabetes in Korean middle-aged to older adults. Methods: Using twelve years of panel data derived from the Korean Genome and Epi- demiology Study, we conducted a logit regression analysis to evaluate the predictive efficiency of three obesity-related indicators while controlling for individual characteristics and behavioral risk factors. Results: For initial screening, we examined the variation of three obesity indexes explained by age and male indicators. Among the three obesity indexes, about 11.3% to 49% of variations in body fat percentage and waist-to-hip ratio were explained away by age and male gender, but these two factors hardly explained BMI variation. We showed that all three obesity-related indicators were significant predictors of type 2 diabetes without other controls in the model. However, once controlling for socioeconomic and behavioral factors likely associated with health, we showed that only BMI remained a significant predictor of type 2 diabetes. We further showed that older age, male gender, smoking, and sleep duration were also significant predictors of type 2 diabetes, other than BMI. Conclusions: Our findings underscore the relatively superior predic- tive efficacy of BMI beyond the other obesity indicators for type 2 diabetes risk. The results indicate that a comprehensive assessment, combined with secure BMI monitoring, is imperative for preventing and early detecting type 2 diabetes, especially in populations with multiple risk factors. | - |
dc.format.extent | 8 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 한국보건정보통계학회 | - |
dc.title | 제2형 당뇨병 예측을 위한 비만지표와 위험 요인의 영향력 탐색 | - |
dc.title.alternative | Evaluating the Predictive Efficiency of Obesity-related Factors for Type 2 Diabetes: A Panel Study Using KoGES Data | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | 보건정보통계학회지, v.49, no.1, pp 54 - 61 | - |
dc.citation.title | 보건정보통계학회지 | - |
dc.citation.volume | 49 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 54 | - |
dc.citation.endPage | 61 | - |
dc.identifier.kciid | ART003058287 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Obesity | - |
dc.subject.keywordAuthor | Diabetes | - |
dc.subject.keywordAuthor | BMI | - |
dc.subject.keywordAuthor | Body fat percentage | - |
dc.subject.keywordAuthor | Waist-to-hip ratio | - |
dc.subject.keywordAuthor | . | - |
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