Evidence map›Paper›PMID 34275481›Full record

ArticleGlobalization and health2021

Labor migration is associated with lower rates of underweight and higher rates of obesity among left-behind wives in rural Bangladesh: a cross-sectional study.

Kristin K Sznajder, Katherine Wander, Siobhan Mattison, Elizabeth Medina-Romero, Nurul Alam, Rubhana Raqib, Anjan Kumar, Farjana Haque, Tami Blumenfield, Mary K Shenk

Open access · goldAbstract read
In one paragraph

Article in Globalization and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Inverse Association Between Betel Quid Use and Diabetes in Rural Bangladesh.American journal of human biology : the official journal of the Human Biology Council · 2026
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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

10 authors at 4 institutions in 3 countries.

Kristin K SznajderPennsylvania State University College of Medicine Department of Public Health Sciences, Hershey, USA. kek157@psu.edu.ORCID 0000-0002-9680-4497
Katherine WanderBinghamton University State University of New York Department of Anthropology, Binghamton, USA.
Siobhan MattisonUniversity of New Mexico Department of Anthropology, Albuquerque, USA.
Elizabeth Medina-RomeroUniversity of New Mexico Department of Anthropology, Albuquerque, USA.
Nurul Alamicddr, b, Dhaka, Bangladesh.
Rubhana Raqibicddr, b, Dhaka, Bangladesh.
Anjan Kumaricddr, b, Dhaka, Bangladesh.
Farjana Haqueicddr, b, Dhaka, Bangladesh.
Tami BlumenfieldUniversity of New Mexico Department of Anthropology, Albuquerque, USA.
Mary K ShenkPennsylvania State University Department of Anthropology, State College, USA. mks74@psu.edu.
International Centre for Diarrhoeal Disease Research · BDUniversity of New Mexico · USPennsylvania State University · USBinghamton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong Bangladeshi men, international labor migration has increased ten-fold since 1990 and rural to urban labor migration rates have steadily increased. Labor migration of husbands has increased household wealth and redefined women's roles, which have both positively and negatively impacted the health of wives "left behind". We examined the direct and indirect effects of husband labor migration on chronic disease indicators and outcomes among wives of labor migrants.

methodsWe collected survey, anthropometric, and biomarker data from a random sample of women in Matlab, Bangladesh, in 2018. We assessed associations between husband's migration and indicators of adiposity and chronic disease. We used structural equation modeling to assess the direct effect of labor migration on chronic disease, undernutrition, and adiposity, and the mediating roles of income, food security, and proportion of food purchased from the bazaar. Qualitative interviews and participant observation were used to help provide context for the associations we found in our quantitative results.

findingsAmong study participants, 9.0% were underweight, 50.9% were iron deficient, 48.3% were anemic, 39.6% were obese, 27.3% had a waist circumference over 35 in., 33.1% had a high whole-body fat percentage, 32.8% were diabetic, and 32.9% had hypertension. Slightly more women in the sample (55.3%) had a husband who never migrated than had a husband who had ever migrated (44.9%). Of those whose husband had ever migrated, 25.8% had a husband who was a current international migrant. Wives of migrants were less likely to be underweight, and more likely to have indicators of excess adiposity, than wives of non-migrants. Protection against undernutrition was attributable primarily to increased food security among wives of migrants, while increased adiposity was attributable primarily to purchasing a higher proportion of food from the bazaar; however, there was a separate path through income, which qualitative findings suggest may be related to reduced physical activity.

conclusionsLabor migration, and particularly international labor migration, intensifies the nutrition transition in Bangladesh through increasing wealth, changing how foods are purchased, and reducing physical activity, which both decreases risk for undernutrition and increases risk for excess adiposity.

Indexed as

SpousesTransients and MigrantsBangladeshCross-Sectional StudiesEmigration and ImmigrationFemaleHumansMaleObesityRural PopulationSocioeconomic FactorsThinnessBangladeshChronic diseaseMigrationNutrition transitionRural wives left behind

Identifiers

PMID34275481
PMCPMC8286616
OpenAlexW3127801267

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.