Evidence map›Paper›PMID 35413809›Full record

ArticleBMC public health2022

What causes loneliness among household heads: a study based in primary setting in Mumbai, India.

Vidya Yadav, Shekhar Chauhan, Ratna Patel

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

3 authors at 2 institutions in 1 country.

Vidya YadavAssistant Professor P.G. Department of Geography, College of Commerce, Arts & Science, Patna, Patliputra University, Patna, 800020, India.
Shekhar ChauhanDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0002-6926-7649
Ratna PatelPhD Research Scholar, Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India. ratnapatelbhu@gmail.com.ORCID 0000-0002-5371-7369
International Institute for Population Sciences · INPatliputra University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the pace of urbanization, symptoms of loneliness emerge as one of the most devastating mental illnesses among city dwellers in the modern age. The present study has tried to identify the potential factors and correlates which affect loneliness vulnerability.

methodsThe data for this study were collected from three different areas of Mumbai (i.e., Dadar, Bandra, and Chembur).This study was conducted through a cross-sectional household survey of household heads in the five different housing typologies/ localities between January and June 2016.A total of 450 household data were collected using the quota sampling method. Loneliness was the main dependent variable. The bivariate analysis was used to see the percentage of loneliness among respondents. Bivariate analysis for categorical data was carried out using the chi-square (χ

resultsIt was found that around 7 percent of respondents often feel lonely, and 21 percent of respondents sometimes feel lonely in the last seven days preceding the survey date. Household heads with two or more chronic diseases had higher odds (OR = 4.87, CI = 1.52-15.57) of loneliness than household heads without any chronic disease. The odds of loneliness were almost 3 times higher (OR = 3.05; CI = 1.11-8.38) among females as compared to males. Household heads living alone (single) had higher odds (OR = 19.99; CI = 4.14-96.59) to suffer from loneliness than those living in a joint family.

conclusionFinding reveals that level of loneliness symptomatology in urban dwellers may be attributed significantly by individual (i.e., morbidity status and sex of respondent), social (i.e., personal relation) and residing locality characteristics. Community psychological intervention along with enhanced civic engagement can reduce level of loneliness in existing slum rehabilitees.

Indexed as

Family CharacteristicsLonelinessCross-Sectional StudiesFemaleHumansIndiaMaleCivic engagementIndiaLonelinessUrbanization

Identifiers

PMID35413809
PMCPMC9004454
OpenAlexW4223516235

What OpenQuestion holds

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LicenceCC BY
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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.