The impact of unmet community service demand on the loneliness of older adults: based on CLHLS (2008-2018).

PURPOSE: To explore the impact of unmet community service demands on loneliness among older adults.

METHODS: Based on the longitudinal tracking data of CLHLS (2008-2018), latent growth curve model (LGCM) was used to describe the trajectory of loneliness among older adults. Panel regression was used to analyze the impact of unmet community service demands on loneliness, and latent classification analysis (LCA) was used to classify the older adults and analyze the differences in loneliness among different types of older adults.

RESULTS: A total of 1445 older people participated in all four surveys, and 22.4% of them reported feeling lonely. From 2008 to 2018, there was a significant non-linear increase in loneliness, with average values of 1.77, 1.81, 1.83, and 1.96, respectively. The level of community service supply (1.31) was far from meeting the demand level (5.11). Unmet community service demands were associated with a higher prevalence of loneliness (β = 0.012, P = 0.003, 95% CI = [0.004, 0.020]). In addition, according to the demand difference for community services, older adults were classified into the comprehensive demand type (Type I) and the medical demand type (Type II). The loneliness of Type I older adults was significantly higher than that of Type II (P < 0.05).

CONCLUSIONS: With the passage of time, loneliness of older adults is showing an accelerating upward trend. Unmet community services can lead to enhanced loneliness among older adults, and the higher the demand for community services, the stronger the loneliness. The government should increase the supply of community services to meet the basic and socio-emotional needs of the older adults to reduce loneliness.