Evidence map›Paper›PMID 32758200›Full record

ArticleBMC public health2020

Age differences in demographic, social and health-related factors associated with loneliness across the adult life span (19-65 years): a cross-sectional study in the Netherlands.

Thanée Franssen, Mandy Stijnen, Femke Hamers, Francine Schneider

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
10.8field-weighted citation impact, top 1% 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

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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 183 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

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 at 1 institution in 2 countries.

Thanée FranssenDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Postbus 616, Maastricht, 6200 MD, The Netherlands. tmdr.franssen@student.maastrichtuniversity.nl.ORCID http://orcid.org/0000-0001-5574-3053
Mandy StijnenDepartment of Health Services of Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Postbus 616, Maastricht, 6200 MD, The Netherlands.
Femke HamersPublic Health Service, Postbus 1150, Limburg-North, Venlo, 5900 BD, The Netherlands.
Francine SchneiderDepartment of Health Promotion, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Postbus 616, Maastricht, 6200 MD, The Netherlands.
Maastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecognition of loneliness as a health concern among adults stresses the need to understand the factors associated with loneliness. Research into factors of influence in the various phases of the adult life span (19-65 years) is scarce. Therefore, the associations between demographic, social and health-related factors and loneliness among young (19-34 years), early middle-aged (35-49 years) and late middle-aged adults (50-65 years) were explored.

methodsA secondary analysis with a large cross-sectional dataset was performed. Data was collected from September to December 2016 in the Netherlands, by a self-report survey. Loneliness was measured using the De Jong-Gierveld Loneliness Scale. In total, 26,342 adults (19-65 years) participated (response rate: 34%). Multiple logistic regression analyses were performed to examine associations between demographic, social and health-related factors as independent variables, and loneliness as dependent variable among the three age groups.

resultsPrevalence of loneliness among young, early and late middle-aged adults was 39.7, 43.3 and 48.2%, respectively. Living alone, frequency of neighbour contact, perceived social exclusion, psychological distress, psychological and emotional wellbeing were consistently associated with loneliness across the groups. The association between ethnicity and loneliness was stronger among young and early middle-aged adults, compared to late middle-aged adults. Young adults showed the strongest association between contact frequency with friends and loneliness. The strength of association between financial imbalance and loneliness gradually decreased from young to late middle-aged adults. Educational level was associated with loneliness among young adults only, while an association between employment status and loneliness was found solely among early middle-aged adults. For late middle-aged adults only, perceived health was associated with loneliness. Frequency of family contact was associated with loneliness, only among early and late middle-aged adults.

conclusionThis study indicates that factors associated with loneliness across the adult life span may be understood from an age-normative life-stage perspective. Accordingly, there is no one-size-fits-all approach to reduce loneliness among adults, suggesting that a variety of interventions or an indirect approach may be necessary. Future research should focus on causal relations between factors and loneliness in different age groups, using a longitudinal research-design with, preferably, an even broader set of factors.

Indexed as

Health StatusLonelinessMental HealthSocial SupportAdultAgedCross-Sectional StudiesDemographyEmotionsEmploymentFemaleFriendsHumansLongevityMaleMiddle AgedAdultsAge-normative life-stage perspectiveCross-sectional designDemographic, social and health-related factorsLoneliness

Identifiers

PMID32758200
PMCPMC7409622
OpenAlexW3047227658

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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.