Evidence map›Paper›PMID 41291549›Full record

ArticleBMC public health2025

A study on spatial association of poor child health outcomes and multidimensional poverty in India.

Partha Das, Tamal Basu Roy, Samiran Bisai, Tanu Das, Priya Das, Subhadeep Saha

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Partha DasDepartment of Geography, Raiganj University, Uttar Dinajpur, Raiganj, West Bengal, India.ORCID http://orcid.org/0000-0001-9474-7225
Tamal Basu RoyDepartment of Geography, Raiganj University, Uttar Dinajpur, Raiganj, West Bengal, India. tamalbasuroy@gmail.com.ORCID http://orcid.org/0000-0003-3256-8904
Samiran BisaiDepartment of Anthropology, TS, Sidho-Kanho-Birsha University, Purulia, West Bengal, India.ORCID http://orcid.org/0000-0003-0097-9522
Tanu DasDepartment of Geography, Raiganj University, Uttar Dinajpur, Raiganj, West Bengal, India.ORCID http://orcid.org/0000-0003-1781-1400
Priya DasDepartment of Geography, Raiganj University, Uttar Dinajpur, Raiganj, West Bengal, India.ORCID http://orcid.org/0000-0001-5552-8986
Subhadeep SahaDepartment of Geography, Raiganj University, Uttar Dinajpur, Raiganj, West Bengal, India.ORCID http://orcid.org/0000-0003-0060-2071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIndia faces persistent challenges of poor child health and multidimensional poverty, which together create a cycle of intergenerational poverty and poor health. So, identifying the spatial association between these issues is crucial for targeted interventions and achieving health and poverty-related SDGs.

methodsThis study used secondary data from NITI Aayog's MPI Progress Review 2023 and NFHS-5 state fact sheets. To achieve the study objectives, various methods were used. Getis-Ord statistics were used to identify spatial clusters of hot spots and cold spots. Univariate Moran's I identified spatial clusters of poor child health outcomes. Bivariate LISA Moran's I examined their spatial relationship with the Multidimensional Poverty Index (MPI). Finally, a spatial lag model was applied to assess the effect of MPI on child health outcomes at the district level.

resultsThe results demonstrated a strong link between poor child health outcomes and multidimensional poverty in various Indian districts. Districts such as Satna, Rewa, and Chhatarpur in Madhya Pradesh; Banda, Sonbhadra, and Bahraich in Uttar Pradesh; Simdega and West Singhbhum in Jharkhand; Bastar and Dantewada in Chhattisgarh; Baran and Dholpur in Rajasthan; Jamui and Purnia in Bihar; Malkangiri and Koraput in Odisha; and Purulia and Jhargram in West Bengal displayed on-going weaknesses in both areas.

conclusionThe findings highlight the need for specific policies, as one-size-fits-all approaches across districts have not worked. High cluster districts should be named High-Priority Development Zones. These zones should receive mobile health services for mothers and children, increased funding, inter-sector committees, and improved existing programs.

Indexed as

Child HealthPovertySpatial AnalysisChildChild, PreschoolFemaleHumansIndiaInfantMaleHotspotsIndiaMultidimensional povertyPoor child health outcomesSpatial lag model

Identifiers

PMID41291549
PMCPMC12648885

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LicenceCC BY-NC-ND
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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.