Determinants of Low Birth Weight: A Case Control Study in Pravara Rural Hospital in Western Maharashtra, India

Ghimire, Reecha; Phalke, Deepak B; Phalke, Vaishali D; Banjade, Bijendra; Singh, Aalok Kumar

doi:10.15373/22778179/july2014/76

Cited by 8 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 12 whereas significant association was noted by several studies. 2 9 11 14 15 16 17 The residence (urban/rural) was not significantly associated with LBW in our study as well as similar findings reported by Matin et al . 13 However, contrast findings about residence were showed by Ghimire et al .…”

Section: Discussionsupporting

confidence: 87%

“… 11 The bad obstetric history was significantly associated with LBW in the present study and similar findings were observed by Deshpande et al . 6 and Ghimire et al ., 16 however, contrast findings were reported by Bendhari and Haralkar 11 and Sengupta et al . 8 The birth order was not significantly associated with LBW in our study but significant association was reported by Viengsakhone et al .…”

Section: Discussionmentioning

confidence: 56%

“… 13 However, contrast findings about residence were showed by Ghimire et al . 16 and Nagargoje et al . 18…”

Section: Discussionmentioning

confidence: 94%

See 2 more Smart Citations

Assessment of maternal risk factors associated with low birth weight neonates at a tertiary hospital, Nanded, Maharashtra

et al. 2016

View full text Add to dashboard Cite

Background:To assess the maternal risk factors associated with low birth weight (LBW) neonates at a tertiary hospital, Nanded, Maharashtra.Materials and Methods:This study was carried out in a tertiary care hospital in Nanded city of Maharashtra between January 2014 and July 2014 among 160 cases (LBW-birth weight ≤2499 g) and 160 controls (normal birth weight-birth weight >2499. Data collection was done by using predesigned questionnaire and also related health documents were checked and collected the expected information during the interview after obtaining informed consent from mothers. The data were analyzed by Epi Info 7 Version.Results:The present study found the significant association among gestational age, sex of baby, type of delivery, maternal age, religion, education of mother and husband, occupation of mother and husband, type of family, maternal height, weight gain, hemoglobin level, planned/unplanned delivery, bad obstetric history, interval between pregnancies, previous history of LBW, underlying disease, tobacco chewing, timing of first antenatal care (ANC) visit, total number of ANC visit, and iron and folic acid (IFA) tablets consumption with LBW. No significant association was found among maternal age, residence, caste, consanguinity of marriage, socioeconomic status, gravida, birth order, multiple pregnancy, and smoking with LBW in our study.Conclusion:It was concluded that hemoglobin level, weight gain during pregnancy, gestational age, planned/unplanned delivery, bad obstetric history, and IFA tablets consumption during pregnancy were independent risk factors for LBW.

show abstract

Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 56%

See 1 more Smart Citation

Assessment of maternal risk factors associated with low birth weight neonates at a tertiary hospital, Nanded, Maharashtra

et al. 2016

View full text Add to dashboard Cite

show abstract

“…National estimates of the proportion of Indonesian births that are below 2,500 grams are reported by the Organisation for Economic Co-operation and Development/World Health Organization (OECD/WHO). 16 Based on 2009 data, 16 Using the reported odds ratio from Ghimire et al 24 allows us to estimate that the probability of an low birthweight birth for mothers less than 20 years old is .177 and the probability of a low birthweight given a mother whose age is 20 or higher is .096.…”

Section: Low Birthweight Model Parametersmentioning

confidence: 99%

“…Many factors are known to affect low birthweight, including low pregnancy weight gain, maternal infections, as well as mother's socioeconomic background, smoking status, height, and age.Our baseline synthetic population estimates that 18.6 percent of women of childbearing age were between the ages of 15 and 19, and 81.4 percent were aged 20 to 49. Model estimates of the influence of maternal age (19 years or younger or 20 or older) on the risk of an low birthweight birth were derived from a recent study by Ghimire and colleagues 24. This study, conducted among mothers in Maharashtra, India, reported births in a rural hospital in 2013-2014; 227 cases were low birthweight births and 486 were normal weight births.…”

mentioning

confidence: 99%

Forecasting the Impact of Maternal Undernutrition on Child Health Outcomes in Indonesia

Cooley

Poulos²,

Rineer

et al. 2016

View full text Add to dashboard Cite

show abstract

Determinants of low birth weight among live birth newborns delivered at public hospitals in Gamo Gofa Zone, South Ethiopia: Unmatched case control study

et al. 2020

View full text Add to dashboard Cite

Background: Birth weight is one of the major determinants of perinatal survival, infant morbidity, and mortality. There are only few published reports on assessment of low birth weight in Ethiopia and the determinants of low birth weight have not been well characterized. Objective: The aim of this study was to assess determinants of low birth weight among live birth newborns delivered at public hospitals in Gamo Gofa Zone, South Ethiopia. Methods: Institution-based case control study was conducted from February 25 to April 25, 2018 and consecutively selected 60 cases and 240 controls were enrolled in this study. The data were collected using face-to-face interview and review of medical records. Moreover, we have measured the newborns’ birth weight using a standard weight scale and mother’s mid-upper arm circumference using a standard World Health Organization mid-upper arm circumference measuring tape. Statistical analysis of the data was done using SPSS version 21. Results: A total of 300 newborns were included in the study. Late antenatal care booking (adjusted odds ratio = 1.87, confidence interval = [1.32–2.6]), birth interval <2 years (adjusted odds ratio = 0.385, confidence interval = [0.176–0.83]), anemia (adjusted odds ratio = 4.4, confidence interval = [1.84–10.5]), mid-upper arm circumference <23 cm (adjusted odds ratio = 7.99, confidence interval = [3.5–20.3]), nutritional counseling (adjusted odds ratio = 5.85, confidence interval = [2.14–14.8]), and husband smoking (adjusted odds ratio = 4.73; confidence interval = [1.42–15.7]) were found to be determinant factors of low birth weight. Conclusion: Most of the determining factors of low birth weight were preventable. Therefore, clinical and public health interventions should target on those determinant factors to prevent its adverse effects.

show abstract

Determinants of Low Birth Weight: A Case Control Study in Pravara Rural Hospital in Western Maharashtra, India

Cited by 8 publications

References 0 publications

Assessment of maternal risk factors associated with low birth weight neonates at a tertiary hospital, Nanded, Maharashtra

Assessment of maternal risk factors associated with low birth weight neonates at a tertiary hospital, Nanded, Maharashtra

Forecasting the Impact of Maternal Undernutrition on Child Health Outcomes in Indonesia

Determinants of low birth weight among live birth newborns delivered at public hospitals in Gamo Gofa Zone, South Ethiopia: Unmatched case control study

Contact Info

Product

Resources

About