Evidence map›Paper›PMID 34798861›Full record

ArticleBMC pediatrics2021

Newborn low birth weight: do socio-economic inequality still persist in India?

Prem Shankar Mishra, Debashree Sinha, Pradeep Kumar, Shobhit Srivastava, Rahul Bawankule

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
9.3field-weighted citation impact, top 2% 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, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Factors Associated with Low Birthweight in Low-and-Middle Income Countries in South Asia.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Prevalence and Determinants of Low Birth Weight among the Newborns in Dadra and Nagar Haveli: A Community-based Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  11. Article
  12. Growth Prediction of Under-5 Children Using Statistical Models for Eastern Region of India.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

5 authors at 2 institutions in 1 country.

Prem Shankar MishraPopulation Research Centre, Institute for Social and Economic Change, Bengaluru, Karnataka, 560072, India.ORCID 0000-0003-0601-7025
Debashree SinhaDepartment of Development Studies, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
Pradeep KumarDepartment of Mathematical Demography & Statistics, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.ORCID 0000-0003-4259-820X
Shobhit SrivastavaDepartment of Mathematical Demography & Statistics, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India. shobhitsrivastava889@gmail.com.ORCID 0000-0002-7138-4916
Rahul BawankuleDepartment of Public Health & Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
International Institute for Population Sciences · INInstitute for Social and Economic Change · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of preterm birth and subsequent low birth weight (LBW) are vital global public health issues. It contributes to high infant and child mortality in the early stages of life and later on in adult life; it increases the risk for non-communicable diseases. The study aims to understand the socio-economic status-related inequality for LBW among children in India. It hypothesises that there is no association between the socio-economic status of the household and the newborn's LBW in India.

methodsThe study utilised data from the fourth round of the National Family Health Survey, a national representative cross-sectional survey conducted in 2015-16 (N = 127,141). The concentration index (CCI) and the concentration curve (CC) measured socio-economic inequality in low birth status among newborns. Wagstaff decomposition further analysed key contributors in CCI by segregating significant covariates.

resultsAbout 18.2% of children had low birth weight status. The value of concentration was - 0.05 representing that low birth weight status is concentrated among children from lower socio-economic status. Further, the wealth quintile explained 76.6% of the SES related inequality followed by regions of India (- 44%) and the educational status of mothers (43.4%) for LBW among children in India. Additionally, the body mass index of the women (28.4%), ante-natal care (20.8%) and residential status (- 15.7%) explained SES related inequality for LBW among children in India.

conclusionAdequate attention should be given to the mother's nutritional status. Awareness of education and usage of health services during pregnancy should be promoted. Further, there is a need to improve the coverage and awareness of the ante-natal care (ANC) program. In such cases, the role of the health workers is of utmost importance. Programs on maternal health services can be merged with maternal nutrition to bring about an overall decline in the LBW of children in India.

Indexed as

Premature BirthBirth WeightCross-Sectional StudiesEducational StatusFemaleHumansIndiaInfant, Low Birth WeightInfant, NewbornPregnancySocioeconomic FactorsConcentration indexDecompositionIndiaLow birth weightSocio-economic inequality

Identifiers

PMID34798861
PMCPMC8603541
OpenAlexW3213041044

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Registered trials

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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.