Dataset Information

Profiles of subjective health among people living alone: a latent class analysis.

ABSTRACT:

Background

Living alone has increased globally and especially in Finland where 45% of all households are single occupancy. Epidemiological research has found that living alone a risk factor for a wide range of adversities related to quality of life but the rapidly-changing demographics of people living alone calls for a more detailed investigation of their subjective health status.

Methods

Using a cross-sectional survey sent for a random sample of Finnish residents in single-person households (n = 884), we explored with latent class analysis whether the respondents form different health profiles based on the three health dimensions defined by the World Health Organization: physical, social, and mental well-being. The identified groups were then compared in terms of demographic characteristics with the χ² test and quality of life using linear regression models. Sensitivity analyses were run using more refined, manual 3-step BCH method.

Results

Four distinct health profiles were found: Languishing (4%), Managing (35%), Healthy (30%), and Flourishing (31%). The groups differed in most socio-demographic aspects such as marital and employment status, but not in terms of geographic location or gender (apart from group Languishing that contained more men). Controlling for these socio-demographic differences, all groups showed different average levels of perceived quality of life to the expected direction.

Conclusions

Our findings suggest that people living alone are indeed a very heterogeneous group in terms of subjective health. Instead of seeing living alone as a mere risk for low quality of life, concept of living alone should be understood more broadly both in public discussion and scientific research.

SUBMITTER: Pasanen TP

PROVIDER: S-EPMC8261976 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveSubjective cognitive decline, self-perceived cognitive deterioration without objective impairment, is becoming a vital health indicator, especially due to its intermediate stage between normal function and mild cognitive impairment. Cognitive decline often coexists with various symptoms that may interact with each other, serve as prognostic indicators and influence the progression of cognitive decline. This study aims to identify symptom clusters among individuals with subjective cognitive decline, using latent class analysis, and to identify factors affecting these symptom clusters, offering insights into understanding and potentially preventing cognitive decline progression.Design and settingA secondary data analysis of the nationally representative cross-sectional data obtained from the 2019 Korea Community Health Survey.OutcomesWe performed latent class analysis using six symptoms (pain, sleep deprivation, depression, fatigue, restlessness and apathy) to determine the distinct symptom clusters. After selecting the best latent class model, we identified factors influencing those symptom clusters using multinomial logistic regression analyses.ResultsWe found that a three-latent-class model best fitted the data: a low symptom-burden group (39.9%), a moderate symptom-burden group (44.8%) and a high symptom-burden group (15.3%). Male gender, higher age, higher perceived health status and lower perceived stress status, were strongly associated with lesser odds of being in the moderate (OR: 0.37 (95% CI: 0.33 to 0.41)) to OR: 2.20 (95% CI: 2.03 to 2.39)) and high symptom-burden groups (OR: 0.18 (95% CI: 0.15 to 0.21)) to OR: 8.53 (95% CI: 7.68 to 9.49)) as compared with being in the low symptom-burden group.ConclusionFindings may contribute to improving clinical practitioners' understanding of the unique symptom patterns experienced by people with subjective cognitive decline and their influencing factors. Furthermore, we recommend that formal caregivers screen and manage prevalent symptoms considering the factors affecting the symptoms of people with subjective cognitive decline in clinical practice.