Evidence map›Paper›PMID 34233690›Full record

ArticleMalaria journal2021

Socio-economic and household determinants of malaria in adults aged 45 and above: analysis of longitudinal ageing survey in India, 2017-2018.

Indumathi Mohan, Naveen Kumar Kodali, Savitha Chellappan, Balasubramani Karuppusamy, Sujit Kumar Behera, Gopalan Natarajan, Praveen Balabaskaran Nina

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

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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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Indumathi MohanDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Tiruvarur, Tamil Nadu, India.
Naveen Kumar KodaliDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Tiruvarur, Tamil Nadu, India.
Savitha ChellappanICMR-National Institute of Traditional Medicine, Belagavi, India.
Balasubramani KaruppusamyDepartment of Geography, Central University of Tamil Nadu, Tiruvarur, Tamil Nadu, India.
Sujit Kumar BeheraDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Tiruvarur, Tamil Nadu, India.
Gopalan NatarajanDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Tiruvarur, Tamil Nadu, India.
Praveen Balabaskaran NinaDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Tiruvarur, Tamil Nadu, India. praveen@cutn.ac.in.ORCID http://orcid.org/0000-0003-4096-0738
Central University of Tamil Nadu · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven though malaria cases have drastically come down in the last decade, malaria remains a serious public health concern in many parts of India. National Framework for Malaria Elimination in India (2016-2030) has been launched with the goal to eliminate malaria by 2030. Understanding the socio-economic and household determinants of malaria at the national level will greatly aid India's malaria elimination efforts.

methodsThe data from Longitudinal Ageing Survey of India (LASI) Wave 1 (2017-2018) survey comprising 70,671 respondents ≥ 45 years across all the States and Union Territories were used for the analysis. Simple and multiple logistic regressions were used to obtain the unadjusted and adjusted odds ratio respectively of the socio-economic and household variables.

resultsThe major socio-economic variables that increase the likelihood of malaria are caste ('scheduled tribes'), low education levels and rural residence. The scheduled tribes have 1.8 times higher odds of malaria than the scheduled castes (AOR: 1.8; 95% CI: 1.5-2.1). Respondents with high school education (6-12 grade) (AOR: 0.7; 95% CI: 0.6-0.8) and college education (AOR: 0.5; 95% CI: 0.4-0.6) had a very low risk of malaria than those with no school years. Rural residence and occupation (agriculture and allied jobs) also increases the odds of malaria. The major housing determinants are household size (≥ 6), housing type (kutcha), use of unclean fuel, outside water source, improper sanitation (toilet facilities) and damp wall/ceiling.

conclusionsThe study has identified the major socio-economic and housing factors associated with malaria in adults aged 45 and above. In addition to vector and parasite control strategies in the tribal dominated regions of India, improving literacy and housing conditions may help India's malaria elimination efforts.

Indexed as

AgingFamily CharacteristicsAgedFemaleHumansIndiaInterviews as TopicLongitudinal StudiesMalariaMaleMiddle AgedRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesHousehold determinants of malariaLASISchedule tribe and malariaSocio-economic determinants of malariaUnclean cooking fuel and malaria

Identifiers

PMID34233690
PMCPMC8265067
OpenAlexW3160649886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.