Evidence map›Paper›PMID 35581645›Full record

ArticleBMC public health2022

Prevalence and predictors of water-borne diseases among elderly people in India: evidence from Longitudinal Ageing Study in India, 2017-18.

Pradeep Kumar, Shobhit Srivastava, Adrita Banerjee, Snigdha Banerjee

Open access · goldAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
9.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

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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

17 citing papers in PubMed, 81 citations in OpenAlex.

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  5. A study onJournal of water and health · 2025
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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Pradeep KumarIndian Health Action Trust, Lucknow, India.
Shobhit SrivastavaMamta Health Institute for Mother and Child, Delhi, India.
Adrita BanerjeeInternational Institute for Population Sciences, Mumbai, India.
Snigdha BanerjeeInternational Institute for Population Sciences, Mumbai, India. 92snigdhabanerjee@gmail.com.
International Institute for Population Sciences · INIndia Health Action Trust · INMamta Health Institute for Mother and Child · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia suffers from a high burden of diarrhoea and other water-borne diseases due to unsafe water, inadequate sanitation and poor hygiene practices among human population. With age the immune system becomes complex and antibody alone does not determine susceptibility to diseases which increases the chances of waterborne disease among elderly population. Therefore the study examines the prevalence and predictors of water-borne diseases among elderly in India.

methodData for this study was collected from the Longitudinal Ageing Study in India (LASI), 2017-18. Descriptive statistics along with bivariate analysis was used in the present study to reveal the initial results. Proportion test was applied to check the significance level of prevalence of water borne diseases between urban and rural place of residence. Additionally, binary logistic regression analysis was used to estimate the association between the outcome variable (water borne diseases) and the explanatory variables.

resultsThe study finds the prevalence of water borne disease among the elderly is more in the rural (22.5%) areas compared to the urban counterparts (12.2%) due to the use of unimproved water sources. The percentage of population aged 60 years and above with waterborne disease is more in the central Indian states like Chhattisgarh and Madhya Pradesh followed by the North Indian states. Sex of the participate, educational status, work status, BMI, place of residence, type of toilet facility and water source are important determinants of water borne disease among elderly in India.

conclusionElderly people living in the rural areas are more prone to waterborne diseases. The study also finds state wise variation in prevalence of waterborne diseases. The elderly people might not be aware of the hygiene practices which further adhere to the disease risk. Therefore, there is a need to create awareness on basic hygiene among this population for preventing such bacterial diseases.

Indexed as

Waterborne DiseasesAgedAgingHumansIndiaPrevalenceWaterWaterIndiaOlder adultsRural–urban divideWater-borne diseases

Identifiers

PMID35581645
PMCPMC9112585
OpenAlexW4280585501

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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.