Prevalence and predictors of loneliness and its association with health-seeking behaviors among the elderly population, Gujarat, A community-based cross-sectional study
Abstract
OBJECTIVES: To determine the prevalence and predictors of loneliness and its associations with health behaviors among elderly adults in Gujarat, India. METHODOLOGY: This community-based cross-sectional study included 250 participants aged ≥60 years. Loneliness was measured using the UCLA Loneliness Scale. Associations with socio-demographic, health, and social factors were explored through regression models. Health behaviors were compared between lonely and non-lonely groups. RESULTS: The prevalence of moderate and severe loneliness was 24% (n = 60) and 16% (n = 40), respectively. 40% (n = 100) were found to be lonely. Widowhood (55/125, OR 3.67), living alone (75/125, OR 1.85), social isolation (90/125, OR 2.38), recent bereavement (68/125, OR 1.69), depression (85/125, OR 6.52), and disability (70/125, OR 6.35) were significant predictors of loneliness (P < 0.05). Lonely elders had poorer diet, exercise, sleep, increased smoking, screen time, reduced medical checkups, and social engagements versus non-lonely peers (P < 0.05). CONCLUSION: Loneliness was highly prevalent among 40% of elderly Indians and strongly linked to adverse health behaviors. Interventions promoting social connectedness, counseling, and peer support are recommended.
The paper
M. P. Shah Medical College
Journal of Family Medicine and Primary Care, 25 Jun 2024, Open access
