Adi Prayitno
Faculty of Medicine, Sebelas Maret University, Surakarta

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Multilevel Analysis on the Factors Associated with Low Birth Weight in Temanggung, Central Java Yulia Nur Khayati; Adi Prayitno; Eti Poncorini
Journal of Maternal and Child Health Vol. 1 No. 1 (2016)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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Abstract

Background: Infants with low birth weight or LBW is one of the risk factors for infant mortality. Complications LBW actually can be prevented and dealt with, but is constrained by access to health care, socio-economic circumstances, a referral system that has not gone well, delays in early detection and awareness of parents to seek medical help. By looking at the number of deaths caused by LBW remains high, and research on the causes of LBW widely used partial analysis, and have not been analyzed in stages, the researchers conducted this research with multilevel analysis.Subjects and Method: This was an observational studt with case control design. A total sample of 120 infants were selected by fixed disease sampling with a ratio of 1: 2 between cases and controls. Data were analyzed using multiple logistic regression.Results: There are three variables at the individual level were significantly associated with LBW and was statistically significant can among others, mother
Association betweenMaternal Age at Pregnancy, Socioeconomic Status, Physical Environment, Prenatal, Perinatal, Postnatal History, and the Risk of Mental Retardation Erna Nurochim; Dono Indarto; Adi Prayitno
Journal of Maternal and Child Health Vol. 1 No. 2 (2016)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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Background: Mental retardation (MR) is a serious public health problem for an country. The prevalence of mental retardation in Indonesia was estimated at 1-3% of the population. About 0.1% of whichneed treatment and guidance the whole life. This study aimed to determine the association between maternal age at pregnancy, socioeconomic status, physical environment, prenatal, perinatal, postnatal history, and mental retardation.Subject and methods: This was an analytic observational study with case control design. This study was conducted in Pare, Kediri, East Java, Indonesia,from October to December 2016. A total 105 study subjects, consisting of 35 MR cases and 70 controls were selected for this study by fixed disease sampling. The independent variables were maternal age at pregnancy, socioeconomic status, physical environment, prenatal, perinatal, and postnatal history. The dependent variable was mental retardation. The data were collected by questionnaire and analyzed by logistic regression model.Results: Maternal age ?35 years at pregnancy was associated with an increased risk of MR, and it was statistically significant The result showed that mother