Evidence map›Paper›PMID 27490200›Full record

ArticlePloS one2016

Measuring Poverty in Southern India: A Comparison of Socio-Economic Scales Evaluated against Childhood Stunting.

Deepthi Kattula, Srinivasan Venugopal, Vasanthakumar Velusamy, Rajiv Sarkar, Victoria Jiang, Mahasampath Gowri S, Ankita Henry, Jordanna Devi Deosaran, Jayaprakash Muliyil, Gagandeep Kang

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  4. Community seroprevalence and risk factors for SARS-CoV-2 infection in different subpopulations in Vellore, India, and their implications for future prevention.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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  6. Article
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  13. Constructing Practical and Realistic Asset-Based Socioeconomic Status Assessment Scale Using Principal Component Analysis for Urban Population of Puducherry, India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  14. 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

10 authors.

Deepthi KattulaDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India.
Srinivasan VenugopalDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India.
Vasanthakumar VelusamyDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India.
Rajiv SarkarDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India.
Victoria JiangDepartment of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Mahasampath Gowri SDepartment of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, India.
Ankita HenryDepartment of Biology, Denison University, Granville, Ohio, United States of America.
Jordanna Devi DeosaranDivision of Medical and Dental Education, University of Aberdeen, Aberdeen, Scotland, United Kingdom.
Jayaprakash MuliyilDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India.
Gagandeep KangDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India.

Funding

Multi-disciplinary research training in enteric infectionsD43TW007392 · FIC · CHRISTIAN MEDICAL COLLEGE · PI KANG, GAGANDEEP · 2005 to 2020
$2.9M
Tufts-CMC Framework Program for Global Health InnovationD43TW009377 · FIC · TUFTS UNIVERSITY BOSTON · PI KANG, GAGANDEEP, WANKE, CHRISTINE A · 2013 to 2017
$1.6M
FIC NIH HHS D43 TW007392FIC NIH HHS D43 TW009377
6 · The paper itself

Abstract

introductionSocioeconomic status (SES) scales measure poverty, wealth and economic inequality in a population to guide appropriate economic and public health policies. Measurement of poverty and comparison of material deprivation across nations is a challenge. This study compared four SES scales which have been used locally and internationally and evaluated them against childhood stunting, used as an indicator of chronic deprivation, in urban southern India.

methodsA door-to-door survey collected information on socio-demographic indicators such as education, occupation, assets, income and living conditions in a semi-urban slum area in Vellore, Tamil Nadu in southern India. A total of 7925 households were categorized by four SES scales-Kuppuswamy scale, Below Poverty Line scale (BPL), the modified Kuppuswamy scale, and the multidimensional poverty index (MDPI) and the level of agreement compared between scales. Logistic regression was used to test the association of SES scales with stunting.

findingsThe Kuppuswamy, BPL, MDPI and modified Kuppuswamy scales classified 7.1%, 1%, 5.5%, and 55.3% of families as low SES respectively, indicating conservative estimation of low SES by the BPL and MDPI scales in comparison with the modified Kuppuswamy scale, which had the highest sensitivity (89%). Children from low SES classified by all scales had higher odds of stunting, but the level of agreement between scales was very poor ranging from 1%-15%.

conclusionThere is great non-uniformity between existing SES scales and cautious interpretation of SES scales is needed in the context of social, cultural, and economic realities.

Indexed as

Social ClassChildChild, PreschoolFemaleGrowth DisordersHumansIndiaInfantLogistic ModelsMaleOdds RatioPovertySurveys and Questionnaires

Identifiers

PMID27490200
PMCPMC4973914

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.