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.
초록·키워드
With the high burden of malnutrition, accurate yet convenient anthropometric measurements are vital. Although body mass index (BMI) for age and sex z score (BAZ) is the recommended assessment method for children aged 5–9 years, it is quite cumbersome. Uganda adopted use of the convenient mid-upper arm circumference (MUAC) for these children. However, the basis for MUAC use in this age-group is weak, requiring more evidence generation. We therefore determined validity of MUAC in assessing thinness among children aged 5–9 years. This was a cross-sectional study. Demographic and anthropometric data was taken from children aged 5–9 years who attended 3 health facilities in Kampala district. MUAC was measured using colour-coded MUAC tapes for children aged 5–9 years and compared with the BAZ. We used a MUAC cut-off of 145 mm for wasting and below 140 mm for severe wasting as per the national guidelines. The sensitivity, specificity, negative and positive predictive values of MUAC were determined using BAZ as the gold standard. Receiver Operating Characteristic curves were plotted to determine the validity of MUAC. Of the 767 children, 51.5% were female and the mean age was 7.2 +/-1.6 years. According to MUAC, 1% had severe acute malnutrition (SAM), 2.7% moderate acute malnutrition (MAM) and 96.2% had no acute malnutrition. The sensitivity and specificity of MUAC in assessment of acute malnutrition (SAM and MAM) were 22.7%, 95% CI (11.5–37.8) and 97.3%, 95% CI (95.9–98.4) respectively. The positive and negative predictive values were 34.5%, 95% CI (17.9–54.3) and 95.4%, 95% CI (93.6–96.8) respectively. The area under the ROC curve was 0.30, 95%CI (0.206–0.394), indicating MUAC was a poor assessment tool for thinness, even after stratifying for age and Human Immune-deficiency Virus status. Despite MUAC being convenient, it showed a low diagnostic performance in assessing thinness among children 5–9 years. This reiterates the need for more research on the correct MUAC cut-offs for this age-group.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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