Dataset Information

Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study.

ABSTRACT: Background:Low birth weight (LBW) is defined as the birth weight of live born infants below 2500?g, regardless of gestational age. It is a public health problem caused by factors that are potentially modifiable. The purpose of this study was to determine the socioeconomic, obstetric, and maternal factors associated with LBW in Lumbini Provincial Hospital, Nepal. Methods:The study was conducted using case control study design with 1?:?2 case control ratio. A total of 105 cases and 210 controls were taken in this study. Data were entered on Epi data software version 3.1 and exported to Statistical Package for Social Science (SPSS) software version 25 for analysis. Characteristics of the sample were described using mean and standard deviation. Bivariate analysis was done to assess the association between dependent and independent variables. The ultimate measure of association was odds ratio. Variables found to be associated with bivariate analysis were entered into a multivariable logistic regression model to identify predictors of LBW. Results:The mean age of the participants was 25.98 years with ±4.40 standard deviation. Mothers with literate educational background (AOR 0.32, 95% CI 0.13-0.81), housewife (AOR 2.63, 95% CI 1.11-6.20), vaginal mode of delivery (AOR 0.45, 95% CI 0.25-0.82), gestational age <37 weeks (AOR 2.51, 95% CI 1.15-5.48), history of LBW (AOR 5.12, 95% CI 1.93-13.60), and maternal weight <50 kilograms (AOR 2.23, 95% CI 1.23-4.02) were significantly associated with LBW. Conclusion:Educational and occupational status, mode of delivery, gestational age, maternal weight, and history of LBW were found to be independent predictors of LBW. There is need of developing coordination with education sector for increasing educational status of mothers and adolescent girls. Social determinants of health need to be considered while developing interventional programs. Similarly, interventional programs need to be developed considering identified predictors of low birth weight.

SUBMITTER: Shrestha S

PROVIDER: S-EPMC7136760 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study.

Shrestha Saneep S Shrestha Sandeep S Shakya Shrestha Upasana U Gyawali Kamala K

Advances in preventive medicine 20200326

<h4>Background</h4>Low birth weight (LBW) is defined as the birth weight of live born infants below 2500 g, regardless of gestational age. It is a public health problem caused by factors that are potentially modifiable. The purpose of this study was to determine the socioeconomic, obstetric, and maternal factors associated with LBW in Lumbini Provincial Hospital, Nepal.<h4>Methods</h4>The study was conducted using case control study design with 1 : 2 case control ratio. A total of 105 cases and ...[more]

PMID: 32274216

Similar Datasets

Project description:Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression. Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression.

Dataset Information

Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study.

Publications

Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets