Evidence map›Paper›PMID 35303856›Full record

ArticleBMC public health2022

Intersecting sex-related inequalities in self-reported testing for and prevalence of Non-Communicable Disease (NCD) risk factors in Kerala.

Jyotsna Negi, Hari Sankar D, Arun B Nair, Devaki Nambiar

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Beyond Numbers: Decoding the Gendered Tapestry of Non-Communicable Diseases in India.International journal of environmental research and public health · 2024
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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

4 authors.

Jyotsna NegiIndependent Consultant, 62 Stratford Road, Kensington, CA, 94707, USA. negi.jyotsna20@gmail.com.
Hari Sankar DThe George Institute for Global Health, New Delhi, India.
Arun B NairHealth Systems Research India Initiative, Thiruvananthapuram, Kerala, India.
Devaki NambiarThe George Institute for Global Health, New Delhi, India.

Funding

DBT-Wellcome Trust India Alliance IA/CPHI/16/1/502653
6 · The paper itself

Abstract

backgroundNon-Communicable Diseases (NCDs) are among India's top burdens, particularly in states like Kerala, which is at an advanced stage of the epidemiological transition. Evidence in India points towards intersectional inequalities in risk factors of NCDs and testing, both of which are understudied in Kerala. We estimated the self-reported testing and prevalence of key NCD risk factors-blood pressure (BP) and blood glucose (BG) comparing Kerala men and women across educational, wealth, religion, as well as caste and tribal status subgroups.

methodA multistage random sample survey of 3398 women and 2982 men aged 30 years and over was administered in 4 districts of Kerala from July to October 2019. Descriptive analysis for men and women was undertaken using survey weights. Slope index of Inequality and Relative Concentration Index for wealth and education related inequalities, and, Weighted Mean Difference from Mean and Index of Disparity for caste and tribal status, as well as religion related inequalities were calculated using World Health Organisation's Health Equity Assessment Toolkit Plus and Stata 12.

resultsA significantly higher proportion of women reported BP and BG testing by medical personnel in the previous year than men (BP Testing among Women (BPT

conclusionDistinct patterns of sex inequalities were present in self-reported testing and prevalence of NCD risk factors in Kerala. Education and wealth seem to be associated with testing while prevalence appeared to vary by religious groups. Given the low rates of illiteracy, it is encouraging but maybe a data artefact that a small population of less-educated persons was getting tested; however, exclusion of poor groups and inequalities by other dimensions raise concerns. Further exploration is needed to understand underlying mechanisms of these inequalities to ensure we leave no one behind.

Indexed as

HyperglycemiaHypertensionNoncommunicable DiseasesBlood GlucoseFemaleHumansMalePrevalenceRisk FactorsSelf ReportSocioeconomic FactorsBlood GlucoseDiabetesHypertensionIndiaInequalitiesKeralaNCDsScreening

Identifiers

PMID35303856
PMCPMC8933933

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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.