Evidence map›Paper›PMID 37053193›Full record

ArticlePloS one2023

Nutritional status of under-five aged children of ready-made garment workers in Bangladesh: A cross-sectional study.

Sadika Haque, Dewan Abdullah Al Rafi, Nafisa Zaman, Md Salman, Md Abdullah Al Noman, Md Nazmul Hoque, Lalita Bhattacharjee, Samantha Farquhar, Sabina Yasmin, Md Mehedi Hasan and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 3 countries.

Sadika HaqueDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Dewan Abdullah Al RafiDepartment of Agricultural and Resource Economics, The University of Arizona, Tucson, Arizona, United States of America.
Nafisa ZamanDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md SalmanDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md Abdullah Al NomanDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID 0000-0001-8371-5172
Md Nazmul HoqueStudent Affairs Division, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Lalita BhattacharjeeSenior Nutrition Advisor, Meeting the Undernutrition Challenge Programme, Food and Agriculture Organization of the United Nations, Rome, Italy.
Samantha FarquharIntegrated Coastal Sciences, East Carolina University, Greenville, North Carolina, United States of America.
Sabina YasminSocio Economics Research Division, Bangladesh Livestock Research Institute, Savar Union, Bangladesh.
Md Mehedi HasanDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Fatema Tuj Zohora HiraDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Aunjuman Ara PrithiDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Shamim Ara ShammiDepartment of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Bilkish BanuFaculty of Social Science and Humanities, Department of Economics, Hajee Mohammad Danesh Science & Technology University, Dinajpur, Bangladesh.
Akbar HossainDivision of Soil Science, Bangladesh Wheat and Maize Research Institute, Dinajpur, Bangladesh.ORCID 0000-0003-0264-2712
Bangladesh Agricultural University · BDBangladesh Livestock Research Institute · BDBangladesh Wheat and Maize Research Institute · BDEast Carolina University · USFood and Agriculture Organization of the United Nations · ITHajee Mohammad Danesh Science and Technology University · BDUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ready-made garment (RMG) sector is a significant contributor to the economic growth of Bangladesh, accounting for 10% of the country's GDP and more than 80% of its foreign exchange earnings. The workforce in this sector is predominantly made up of women, with 2.5 million women working in the industry. However, these women face numerous challenges in carrying out their culturally-expected household responsibilities, including childcare, due to severe resource constraints. As a result, the children of these working women have a higher incidence of malnutrition, particularly stunted growth. This study aims to identify the factors that contribute to stunting in children under the age of five whose mothers work in the RMG sector in Bangladesh.

methodsThe study collected data from 267 female RMG workers in the Gazipur district of Bangladesh using a simple random sampling technique. Chi-square tests were used to determine the associations between the factors influencing child stunting, and Multinomial Logit Models were used to estimate the prevalence of these factors.

resultsThe study found that the prevalence of moderate and severe stunting among the children of RMG workers living in the Gazipur RMG hub was 19% and 20%, respectively. The study identified several significant predictors of child stunting, including the mother's education level, nutritional knowledge, control over resources, receipt of antenatal care, household size, sanitation facilities, and childbirth weight. The study found that improving the mother's education level, increasing household size, and receiving antenatal care during pregnancy were important factors in reducing the likelihood of child stunting. For example, if a mother's education level increased from no education to primary or secondary level, the child would be 0.211 (0.071-0.627) and 0.384 (0.138-1.065) times more likely to have a normal weight and height, respectively, than to be moderately stunted.

conclusionThe study highlights the challenges faced by working women in the RMG sector, who often receive minimal wages and have limited access to antenatal care services. To address these challenges, the study recommends policies that support antenatal care for working-class mothers, provide daycare facilities for their children, and implement a comprehensive social safety net program that targets child nutrition. Improving the socioeconomic status of mothers is also critical to reducing child malnutrition in this population.

Indexed as

Growth DisordersNutritional StatusAgedBangladeshChildClothingCross-Sectional StudiesFemaleHumansInfantPregnancyPrevalenceRisk FactorsSocioeconomic Factors

Identifiers

PMID37053193
PMCPMC10101446
OpenAlexW4365443620

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.