Symptom profiles and their influencing factors among people with subjective cognitive decline: a secondary analysis of cross-sectional data from the 2019 Korea Community Health Survey using latent class analysis

Abstract

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.