Does Loneliness Have a Cost?:A Population-Wide Study of the Association Between Loneliness and Healthcare Expenditure

Objectives: Loneliness has been associated with unhealthy behavior, poorer health, and increased morbidity. However, the costs of loneliness are poorly understood. Methods: Multiple sources were combined into a dataset containing a nationally representative sample (n = 341,376) of Dutch adults (18+). The association between loneliness and total, general practitioner (GP), specialized, pharmaceutical, and mental healthcare expenditure was tested using Poisson and Zero-inflated negative binomial models, controlling for numerous potential confounders (i.e., demographic, socioeconomic, lifestyle-r... Mehr ...

Verfasser: Meisters, Rachelle
Westra, Daan
Putrik, Polina
Bosma, Hans
Ruwaard, Dirk
Jansen, Maria
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Meisters , R , Westra , D , Putrik , P , Bosma , H , Ruwaard , D & Jansen , M 2021 , ' Does Loneliness Have a Cost? A Population-Wide Study of the Association Between Loneliness and Healthcare Expenditure ' , International Journal of Public Health , vol. 66 , 581286 . https://doi.org/10.3389/ijph.2021.581286
Schlagwörter: social determinants of health / loneliness / healthcare expenditure / Netherlands / health inequalities
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27597807
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://cris.maastrichtuniversity.nl/en/publications/feca66f3-c7fb-40b7-a74c-74ed59db1554

Objectives: Loneliness has been associated with unhealthy behavior, poorer health, and increased morbidity. However, the costs of loneliness are poorly understood. Methods: Multiple sources were combined into a dataset containing a nationally representative sample (n = 341,376) of Dutch adults (18+). The association between loneliness and total, general practitioner (GP), specialized, pharmaceutical, and mental healthcare expenditure was tested using Poisson and Zero-inflated negative binomial models, controlling for numerous potential confounders (i.e., demographic, socioeconomic, lifestyle-related factors, self-perceived health, and psychological distress), for four age groups. Results: Controlling for demographic, socioeconomic, and lifestyle-related factors, loneliness was indirectly (via poorer health) associated with higher expenditure in all categories. In fully adjusted models, it showed a direct association with higher expenditure for GP and mental healthcare (0.5 and 11.1%, respectively). The association with mental healthcare expenditure was stronger in younger than in older adults (for ages 19-40, the contribution of loneliness represented 61.8% of the overall association). Conclusion: Loneliness contributes to health expenditure both directly and indirectly, particularly in younger age groups. This implies a strong financial imperative to address this issue.