Dual trajectories of loneliness and depression and their baseline correlates over a 14‐year follow‐up period in older adults: Results from a nationally representative sample in Taiwan

• Published in: International journal of older people nursing 2021-11, Vol.16 (6), p.e12410-n/a
• Main Authors: Liu, I, Huang, Yu‐Jen, Wang, Liang‐Kai, Tsai, Yi‐Hsuan, Hsu, Sheng‐Lun, Chang, Chun‐Jui, Li, Ying‐Hsien, Hsiao, Yi‐Chen, Chen, Chun‐Yuan, Wann, Shue‐Ren
• Format: Article
• Language: English
• Subjects: Aging; Care plans; Chronic illnesses; codevelopment; Comorbidity; Demography; depression; Functional impairment; group‐based trajectory modelling; Health promotion; Loneliness; Medical personnel; Mental depression; Mental health; Nursing; older adults; Older people; Physical symptoms; Sleep
• ISSN: 1748-3735; 1748-3743
• DOI: 10.1111/opn.12410

Aims To explore the codevelopment between loneliness and depression in older adults, and to identify its potential baseline individual, family and extrafamilial correlates. Background The number of older adults around the world has steadily increased over the last decades. Later life is a particularly vulnerable life stage due to multiple unfavourable conditions, and mental health in this stage appears to become an inescapable issue. Previous research has found the cross‐sectional association between loneliness and depression, but their codevelopment has been understudied. Therefore, exploring the codevelopment and its correlates has significant implications for prevention and healthcare professionals. Design A longitudinal follow‐up study. Methods The study used nationally representative data over a 14‐year follow‐up period from the Taiwan Longitudinal Study on Ageing focused on Taiwanese aged 60 years and above (n = 4049). Group‐based trajectory modelling, group‐based dual‐trajectory modelling and multinomial logistic regression were the primary analytical methods. Results We identified three distinct dual trajectories of loneliness and depression: longitudinal low‐frequency lonely depressed (29.3%), longitudinal moderate‐frequency lonely depressed (59.4%) and longitudinal high‐frequency lonely depressed (11.3%). After considering several demographic and background characteristics, difficulty in physical functioning, number of physical symptoms and diseases, sleep quality and number of child deaths were found to be significantly associated. Conclusion Across the three identified dual‐trajectory groups, they all showed a stable loneliness frequency pattern over time; however, the moderate‐frequency group and high‐frequency group both had a trajectory of increasing depression. It seems that depression tends to change over time in a worsening direction, especially for those with a certain frequency of loneliness. Furthermore, differences in individual and family correlates were found across the groups. Implications for practice Interventions focusing on the specific factors may help hinder coexisting loneliness and depression, and have implications for developing health promotion strategies and chronic disease care plans.