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Dana Nindrea, Ricvan
- Cut off Point of Insulin‑Like Growth Factor‑I (IGF‑1) for Prediction of Child Stunting
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Authors
Affiliations
1 Department of Nutrition, Faculty of Medicine, Universitas Andalas Padang, ID
2 Director of Community Nutrition, Ministry of Health, Republic of Indonesia, ID
3 Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Andalas, Padang City, ID
4 Biomedical Laboratory, Faculty of Medicine, Universitas Andalas Padang,, ID
5 Faculty of Public Health, Universitas Andalas Padang, ID
1 Department of Nutrition, Faculty of Medicine, Universitas Andalas Padang, ID
2 Director of Community Nutrition, Ministry of Health, Republic of Indonesia, ID
3 Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Andalas, Padang City, ID
4 Biomedical Laboratory, Faculty of Medicine, Universitas Andalas Padang,, ID
5 Faculty of Public Health, Universitas Andalas Padang, ID
Source
Indian Journal of Public Health Research & Development, Vol 11, No 1 (2020), Pagination: 1234-1239Abstract
Objectives: The aim of this study was to determine cut off point of Insulin‑Like Growth Factor‑I (IGF‑1) for prediction of child stunting. Method: This prognostic model was conducted subdistrict of Pasaman and West Pasaman, West Sumatera, Indonesia from July‑November 2018. This study was performed on 185 children aged 0‑3 years, consist of stunting group 94 respondents and not stunting 91 respondents. Determination of insulin‑like growth factor‑I (IGF‑I) expression levels using the qRT‑PCR method. Total RNA from blood samples of stunting and normal children was extracted using Trizol and stunting assesment using z‑score index Height per age where the result ≤‑2 SD is stunting. The mean difference of IGF‑I level was analyzed by independent sample T test. A two‑tailed P‑value of <0.05 was considered statistically significant. Cut off point analysis using receiver operating characteristic (ROC) curve, the results show sensitivity, specificity and an accuracy. Data were analyzed using the SPSS version 20.0 Results: The results showed IGF level in child stunting 10.44±9.88 ng/ml and 10.09±10.08 ng/ml in child not stunting. Cut off point IGF‑I for prediction of child stunting is 6.63 ng/ml with 64.2% sensitivity, 60.0% specificity and accuracy 61,3%. Conclusion: This analysis confirmed IGF‑I can predict child stunting with enough accuracy for classification.Keywords
Child, classification, IGF‑1, prediction, stunting- Association of Diabetes Mellitus and Estrogen Hormone Levels with Vaginal Candidiasis
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Authors
Affiliations
1 Department of Microbiology, Faculty of Medicine, Universitas Andalas, Padang City, Indonesia, Jl. Perintis Kemerdekaan No. 94, Padang City, West Sumatera Province, ID
2 Department of Clinical Phatology, Faculty of Medicine, Universitas Andalas, Padang City, ID
3 Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Andalas, Padang City, ID
4 Midwifery Graduate Program, Faculty of Medicine, Universitas Andalas, Padang City, ID
1 Department of Microbiology, Faculty of Medicine, Universitas Andalas, Padang City, Indonesia, Jl. Perintis Kemerdekaan No. 94, Padang City, West Sumatera Province, ID
2 Department of Clinical Phatology, Faculty of Medicine, Universitas Andalas, Padang City, ID
3 Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Andalas, Padang City, ID
4 Midwifery Graduate Program, Faculty of Medicine, Universitas Andalas, Padang City, ID