Evidence map›Paper›PMID 39190150›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024

[The relationship between obesity, social isolation, and mental health-results from the LIFE adult study].

Charlyn Görres, Jana Hoßbach, Alexander Pabst, Melanie Luppa, Janine Stein, Franziska D Welzel, Franziska U Jung, Felix S Hussenoeder, Christoph Engel, Toralf Kirsten and 4 more

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Charlyn GörresInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Jana HoßbachInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Alexander PabstInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Melanie LuppaInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Janine SteinInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Franziska D WelzelInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Franziska U JungInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Felix S HussenoederInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Christoph EngelInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Toralf KirstenInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Nigar ReyesInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Kerstin WirknerLIFE - Leipziger Forschungszentrum für Zivilisationserkrankungen, Universität Leipzig, Leipzig, Deutschland.
Steffi G Riedel-HellerInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Margrit LöbnerInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland. Margrit.Loebner@medizin.uni-leipzig.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation-based studies on the relationship between social isolation and obesity, which also include younger adults, are still lacking in Germany. The aim of this study is to investigate the prevalence of social isolation in people with and without obesity. In addition, socially isolated people with and without obesity are examined with regard to socio-demographic and socio-economic factors as well as with regard to depressive symptoms.

methodsThis study was based on baseline data from the LIFE Adult Study (18-79 years) from the 2011-2014 study period. The sample comprised n = 8350 participants. In addition to socio-demographic characteristics and socio-economic status (SES), data on social isolation (LSNS-6), depression (ADS), and body mass index (BMI) were collected. Evaluations were carried out using inferential statistical analyses.

resultsOverall, 13.1% of the total sample were affected by social isolation. Participants with obesity (20.4%) had a significantly (p < 0.001) higher prevalence compared to those without obesity (11.4%). A better social integration was significantly associated with younger age (p < 0.001), female sex (p < 0.001), being married (and cohabiting) (p < 0.001), higher socioeconomic status (p < 0.001), and lower depressive symptoms (p < 0.001). DISCUSSION: A higher BMI was not associated per se with poorer social integration. However, the present study showed that socially isolated people with obesity represent a special risk group for impaired mental health and had twice the prevalence of social isolation compared to those without obesity.

Indexed as

ObesitySocial IsolationAdolescentAdultAgedBody Mass IndexComorbidityDepressionFemaleGermanyHumansMaleMental HealthMiddle AgedPrevalenceRisk FactorsDepressive symptomsMental healthObesityPrevalenceSocial isolation

Identifiers

PMID39190150
PMCPMC11424732

What OpenQuestion holds

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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.