Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-10T12:47:19.952Z Has data issue: false hasContentIssue false

Loneliness in older persons: a theoretical model and empirical findings

Published online by Cambridge University Press:  28 September 2006

Jiska Cohen-Mansfield
Affiliation:
Research Institute on Aging of the Hebrew Home of Greater Washington, USA George Washington University Medical Center, USA
Aleksandra Parpura-Gill
Affiliation:
Research Institute on Aging of the Hebrew Home of Greater Washington, USA

Abstract

Background: This study examines predictors of loneliness among low-income older adults through a framework named MODEL (Model of Depression and Loneliness), which we developed to address the need for a comprehensive and intervention-oriented theory of loneliness in old age. The framework is rooted in a cognitive-behavioral theory that conceptualizes behaviors as resulting from an interaction of cognitive processes and environmental events.

Methods: 161 residents of five independent-living buildings for low-income older adults in Maryland were interviewed individually. The assessments were based on the theoretical framework, MODEL, which describes the influences that environmental resources, health, and psychological factors have on loneliness and depression.

Results: MODEL explained a large percentage of the variance of both loneliness and depressed affect. Of all the barriers examined in the present study, our findings suggest that psychosocial factors/barriers have the strongest influence in the etiology of loneliness.

Conclusion: In this population of low-income older persons, the importance of new contacts, mobility, and financial resources in predicting loneliness suggests that preventive social services should target these factors in developing opportunities for socialization.

Type
Research Article
Copyright
International Psychogeriatric Association 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)