Background: Low birth weight is recognized as a pivotal risk factor affecting child survival and growth. Although Bangladesh has made commendable progress in public health, an infant mortality rate of 38 per 1000 live births and a 16% prevalence of low birth weight remain significant concerns compared to other developing countries. This situation poses a significant challenge for the formulation of future health policies in Bangladesh. As a result, this study aims to identify potential risk factors contributing to low birth weight and infant mortality among children in Bangladesh.
Methods: The data is extracted from the 2014 Bangladesh Demographic and Health Survey. The response variables are infant mortality and low birth weight. In the bivariate analysis, Log-rank tests and Chi-square tests of independence were conducted. Cox proportional hazards and binary logistic regression models were utilized to determine the impact of risk factors on infant mortality and low birth weight.
Results: This study identified several significant factors associated with children's low birth weight, including wealth index, parental education, birth order, twin births, mother's body mass index, and child sex. Additionally, wealth index, parental education, twin status, media exposure, birth order, antenatal care visits, prenatal care assistance, and low birth weight were identified as potential risk factors for infant mortality in Bangladesh.
Conclusion: This study revealed that maternal and child characteristics, along with knowledge about child health care during pregnancy, can potentially reduce the risk of low birth weight and infant mortality among children in Bangladesh. To improve child health and survival, policymakers should prioritize community-based health education programs, and encourage parents to seek healthcare information from institutional medical facilities during pregnancy and after birth.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11339130 | PMC |
| http://dx.doi.org/10.1002/hsr2.70009 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association between Pre-pregnancy BMI and Pregnancy Outcomes in Women with Gestational Diabetes: A Retrospective Cohort Study.
Pak J Med Sci
January 2025
Lin Lin Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical, University, Fuzhou, Fujian, China.
Background & Objective: The specific influence of the pre-pregnancy body mass index (PPBMI) on women with gestational diabetes mellitus (GDM) is unclear. Our objective was to investigate how PPBMI categories affect pregnancy and neonatal outcomes in women with GDM.
Methods: A retrospective cohort study was conducted using data from patients attending the Fujian Maternity and Child Health Hospital (Fuzhou, China) from 2021 to 2023.
Impact of pre-pregnancy maternal body mass index on neonatal outcomes in twin delivery: A retrospective cohort study.
Pak J Med Sci
January 2025
Lin Lin Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical, Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, China.
Objective: This study examined the potential link between maternal pre-pregnancy body mass index (PPBMI) with neonatal outcomes in twin pregnancies.
Methods: This retrospective analysis records of 1,270 women with twin pregnancies, delivered at the Fujian Maternity and Child Health Hospital between 2019 and 2021, were retrospectively analysed. Women were diagnosed as underweight, normal BMI, and overweight/obese according to their PPBMI.
Relationship between pregnant women's combined exposure to heavy metals and their offspring's congenital heart defects in Lanzhou, China.
Front Pediatr
January 2025
Gansu University of Chinese Medicine, Lanzhou, Gansu Province, China.
Background: Previous research has demonstrated that exposure to individual heavy metals elevates the incidence rate of congenital heart defects (CHDs). However, there is a paucity of data concerning the relationship between combined exposure to multiple heavy metals and the occurrence of CHDs. This study seeks to investigate the association between combined heavy metal exposure in pregnant women and the incidence of CHDs in their offspring in Lanzhou, China.
View Article and Find Full Text PDFCardiovascular complications in chronic active Epstein-Barr virus disease: a case report and literature review.
Front Pediatr
January 2025
Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education (MOE), West China Institute of Women and Children's Health, Key Laboratory of Development and Diseases of Women and Children of Sichuan Province, Department of Pediatrics, Department of Pediatric Cardiology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Background: Cardiovascular involvement is a rare but severe complication of Epstein-Barr virus (EBV) infections. Patients with chronic active EBV (CAEBV) are at increased risk of developing cardiovascular complications and have a poor prognosis. Here, we report the rare case of a pediatric patient with CAEBV and EBV- hemophagocytic lymphohistiocytosis (HLH) complicated with a giant coronary artery aneurysm (CAA) and thrombosis, a giant Valsalva sinus aneurysm, and ascending aorta dilation seven years after the disease onset.
View Article and Find Full Text PDFPredicting risk of maternal critical care admission in Scotland: Development of a risk prediction model.
J Intensive Care Soc
January 2025
Department of Anaesthesia, Critical Care, and Pain Medicine, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, UK.
Background: Identifying women at highest or lowest risk of perinatal intensive care unit (ICU) admission may enable clinicians to risk stratify women antenatally so that enhanced care or elective admission to ICU may be considered or excluded in birthing plans. We aimed to develop a statistical model to predict the risk of maternal ICU admission.
Methods: We studied 762,918 pregnancies between 2005 and 2018.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!