인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
The purpose of this study was to determine whether sarcopenic obesity was associated with impairment in insulin resistance and glucose homeostatis in older adults over 60 years of age. Data was analyzed from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-1, 2010) with 1595 subjects of 60 years or older. Participants completed questionnaires and a whole body dual energy x-ray absorptiometry (DXA) scan. Sarcopenia was defined as an appendicular skeletal muscle mass (ASM) divided by weight (%) of 2 SD below the sex-specific mean for young adults. Obesity was defined as percent body fat above 60th percentile of the study sample. Body composition was categorized into four categories: normal, sarcopenic non-obese, normal obese, and Sarcopenic-obese (SO). Outcomes were Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), glycosylated hemoglobin level (HbA1C), and prevalence of type 2 diabetes. Covariates were age and educational. The proportion of SO was higher in women than men (7.3% vs. 4.1%). Obesity without sarcopenia were significantly associated with increased HOMA-IR in both men and women (p＜.05). HOMAIR of SO were significant higher than that of sarcopenia (p＜.05). However, no significant group differences were observed in HbA1C ratio. In females, adjusted for age and education, obese without sarcopenia and sarcopenic obesity was significantly associated with the prevalence of pre-diabetes and diabetes. However, in male, no associations were observed between the prevalence of pre-diabetes and diabetes and body composition. These results indicate that not only obesity but also sarcopenic obesity should also be considered as an important risk factor for prediabetes and type II diabetes mellitus in older women. More study of intervention for SO is needed to control metabolic disease in older adults.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2016-594-001856113
