Evidence map›Paper›PMID 31530283›Full record

ArticleInternational journal for equity in health2019

Nutrition among children of migrant construction workers in Ahmedabad, India.

Divya Ravindranath, Jean-Francois Trani, Lora Iannotti

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. The effect of air pollution on children's migration with parents: evidence from China.Environmental science and pollution research international · 2020
    Article
  12. Nutritional Status of Under-5 Children in Migrant Laborer Settlements of Ernakulam District, Kerala, Southern India - A Mixed Method Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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

3 authors at 2 institutions in 2 countries.

Divya RavindranathIndian Institute for Human Settlements, No. 197/36, 2nd Main Road, Sadashivanagar, Bengaluru, 560 080, India. divyar@iihs.ac.in.ORCID 0000-0001-9123-2189
Jean-Francois TraniBrown School, Washington University, St. Louis, USA.
Lora IannottiBrown School, Washington University, St. Louis, USA.
Washington University in St. Louis · USIndian Institute for Human Settlements · IN

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Brian N Finck · 1999 to 2026
$30.2M
NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

backgroundMillions of poor households in India undertake short duration rural to urban migration along with their children to find work in the informal economy in the city. While literature has documented the precarity of such temporary jobs, typically characterized by low wages, insecure jobs, harsh recruitment regimes and economic vulnerability, little is known about its implications for children who migrate with their parents to the city. In this study, we draw attention to children of migrant construction workers and focus on their overall nutritional well-being, which remains under-studied. Our objectives were to categorize the current nutritional status of children under the age of five and determine the underlying causes of poor nutritional outcomes.

methodsThe field work for this study was undertaken between May 2017 and January 2018 at five construction sites in the city of Ahmedabad. We undertook anthropometric measurements of children under the age of five [N = 131; (male: 46%, female 53%); (mean age: 31.7 months)] and categorized their nutritional status. Using the UNICEF framework on undernutrition, we examined the underlying causes of poor nutritional outcomes among this group of children with the help of qualitative methods such as interviews, focused group discussions and participant observation at the field sites.

resultsUndernutrition was highly prevalent among the children (N = 131): stunted (40.5%); wasted (22.1%); and underweight (50.4%). We found common factors across parents interviewed such as similar misperceptions of malnutrition, long hours of work and lack of childcare provision at the worksite which resulted in disrupted quality of care. While socio-cultural beliefs and lack of information influenced breastfeeding, other factors such as inability to take breaks or lack of space further impaired infant feeding practices more broadly. Lack of dietary diversity at home, poor hygiene and sanitation, and economic inability to seek healthcare further affected child nutritional status.

conclusionsOur study addresses a critical gap in migration literature in India by building a comprehensive narrative of migrant children's experiences at construction sites. We find that parents' informal work setting exposes children to a nutritionally challenging environment. Policies and programs seeking to address undernutrition, a critical challenge in India, must pay attention to the specific needs of migrant children.

Indexed as

Construction IndustryAdolescentAdultChild Nutrition DisordersChild, PreschoolFemaleHumansIndiaInfantInfant, NewbornMalePrevalenceRisk FactorsTransients and MigrantsYoung AdultConstruction workersInformal workMalnutritionMigrant children

Identifiers

PMID31530283
PMCPMC6747750
OpenAlexW2974859636

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.