Evidence map›Paper›PMID 42415563›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Socio-Demographic Determinants of Mothers and Their Relationships With Adolescent Girl Nutritional Status in Urban and Peri-Urban Settings.

Mohammad Shafiqul Islam, Jobayda Gulshan Ara, Rashedul Islam Sagor

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Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mohammad Shafiqul IslamDepartment of Public Administration, Shahjalal University of Science and Technology, Sylhet, Bangladesh.ORCID 0000-0002-2643-4400
Jobayda Gulshan AraDepartment of Public Administration, Shahjalal University of Science and Technology, Sylhet, Bangladesh.ORCID 0000-0003-3337-5063
Rashedul Islam SagorDepartment of Public Administration, Shahjalal University of Science and Technology, Sylhet, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionThe nutritional status of adolescent girls in developing countries like Bangladesh remains a major public health concern. Some studies have examined child nutrition and adolescent health in rural contexts; however, limited attention has been paid to variation across socio-demographic characteristics in urban and peri-urban contexts. This study aims to assess the distribution and variation in adolescent girls' nutritional status across selected socio-demographic factors, including religion, marital status, household income, and maternal education, in Sylhet, Bangladesh.MethodsA cross-sectional descriptive study was conducted in Sylhet City Corporation (SCC) urban areas and in some closely connected union parishads of SCC as peri-urban settings. The study population included mothers of adolescent girls aged 10-19 years. A multi-stage cluster sampling technique selected 400 respondents, and data were collected using a structured questionnaire. Descriptive statistical tools are used for analyzing data. Nutritional status was assessed using Body Mass Index (BMI), applying standard WHO criteria to classify underweight, normal weight, and overweight.ResultsThis research demonstrates the variation in adolescent girls' nutritional status across women's socio-demographic features and residential settings. This study found that underweight was more common among Hindu adolescent girls in urban areas and those from joint families in peri-urban settings. In contrast, being overweight is found more frequently in peri-urban areas, particularly among Muslim girls and those from higher-income households. Specifically, maternal education and household income showed the strongest variation, because daughters of educated mothers were more likely to have a normal BMI. In contrast, underweight was higher among daughters of mothers with no formal education. Differences between urban and peri-urban contexts further indicate the influence of the living environment.ConclusionMaternal education, household income, and place of residence emerged as key factors in this research, contributing differently to adolescent girls in urban-peri-urban settings. Based on research findings, this study provides context-specific insights to inform targeted public health interventions, including nutrition education, school-based programs, and community awareness initiatives for vulnerable groups.

Indexed as

MothersNutritional StatusUrban PopulationAdolescentAdultBangladeshBody Mass IndexChildCross-Sectional StudiesFemaleHumansSociodemographic FactorsSocioeconomic FactorsYoung Adultadolescent girlsBangladeshhousehold mothernutritional statussocio-demographic characteristicsurban and peri-urban

Identifiers

PMID42415563
PMCPMC13346731

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.