Social support in a large general population sample over the course of six years

Social support is an important resource that is assumed to buffer the effect of stressful events on health. The aims of this study were to test psychometric properties of the ENRICHD Social Support Instrument (ESSI), to investigate the impact of several sociodemographic and behavioral variables on social support, and to analyze changes in social support over a 6-year period. A sample of 9,681 people from the general population was examined at baseline, 4,987 of whom were surveyed at a follow-up examination six years later using the ESSI and several other questionnaires. The psychometric properties of the ESSI were good (Cronbach's α = 0.91) and measurement invariance across gender and age could be established. High socioeconomic status, sharing a household with others, and employment resulted in high levels of social support. Tobacco smokers and alcohol drinkers reported having less social support than nonsmokers and non-drinkers. During the 6-year period, the mean level of social support remained nearly unchanged (d = 0.01). The data provide a framework for the interpretation and comparison of social support with other clinical and nonclinical populations. Public health initiatives should aim to prevent social isolation to improve public health.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-02-21
DOI
https://doi.org/10.1038/s41598-025-90703-y
Citations
5
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
10.84

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social support in a large general population sample over the course of six years

Andréas Hinz, Anja Mehnert, Heide Götze, Peter Esser et al.
5 citations
Scientific Reports
Health disparities and outcomes
10.84
article

Social support in a large general population sample over the course of six years

Andréas Hinz, Anja Mehnert, Heide Götze, Peter Esser, Annekathrin Sender, Diana Richter, Franziska Springer, Heide Glaesmer, Antje Lehmann‐Laue, Katja Leuteritz, Antje Schönfelder, Svenja Heyne
article en
5 citations

Abstract

Social support is an important resource that is assumed to buffer the effect of stressful events on health. The aims of this study were to test psychometric properties of the ENRICHD Social Support Instrument (ESSI), to investigate the impact of several sociodemographic and behavioral variables on social support, and to analyze changes in social support over a 6-year period. A sample of 9,681 people from the general population was examined at baseline, 4,987 of whom were surveyed at a follow-up examination six years later using the ESSI and several other questionnaires. The psychometric properties of the ESSI were good (Cronbach's α = 0.91) and measurement invariance across gender and age could be established. High socioeconomic status, sharing a household with others, and employment resulted in high levels of social support. Tobacco smokers and alcohol drinkers reported having less social support than nonsmokers and non-drinkers. During the 6-year period, the mean level of social support remained nearly unchanged (d = 0.01). The data provide a framework for the interpretation and comparison of social support with other clinical and nonclinical populations. Public health initiatives should aim to prevent social isolation to improve public health.

Scientific ReportsVol. 15(1)
Leipzig University (DE)
Universität Leipzig
Good health and well-being
Openalex Percentile: Top 2%
Health disparities and outcomes
10.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.