Loneliness in the General Population: Prevalence, Determinants and Relations to Mental Health

Overview

Journal BMC Psychiatry

Publisher Biomed Central

Specialty Psychiatry

Date 2017 Mar 22

PMID 28320380

Citations 373

Authors

Manfred E Beutel

Eva M Klein

Elmar Brahler

Iris Reiner

Claus Junger

Matthias Michal

Jorg Wiltink

Philipp S Wild

Thomas Munzel

Karl J Lackner

Ana N Tibubos

Affiliations

Soon will be listed here.

Abstract

Background: While loneliness has been regarded as a risk to mental and physical health, there is a lack of current community data covering a broad age range. This study used a large and representative German adult sample to investigate loneliness.

Methods: Baseline data of the Gutenberg Health Study (GHS) collected between April 2007 and April 2012 (N = 15,010; 35-74 years), were analyzed. Recruitment for the community-based, prospective, observational cohort study was performed in equal strata for gender, residence and age decades. Measures were provided by self-report and interview. Loneliness was used as a predictor for distress (depression, generalized anxiety, and suicidal ideation) in logistic regression analyses adjusting for sociodemographic variables and mental distress.

Results: A total of 10.5% of participants reported some degree of loneliness (4.9% slight, 3.9% moderate and 1.7% severely distressed by loneliness). Loneliness declined across age groups. Loneliness was stronger in women, in participants without a partner, and in those living alone and without children. Controlling for demographic variables and other sources of distress loneliness was associated with depression (OR = 1.91), generalized anxiety (OR = 1.21) and suicidal ideation (OR = 1.35). Lonely participants also smoked more and visited physicians more frequently.

Conclusions: The findings support the view that loneliness poses a significant health problem for a sizeable part of the population with increased risks in terms of distress (depression, anxiety), suicidal ideation, health behavior and health care utilization.

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