Zhongguo quanke yixue (Apr 2023)

Correlation of Subjective Cognitive Decline with Multimorbidity among Elderly People

  • SONG Yinhua, LIU Yushuang, YANG Qing, WANG Shibin, HU Qing, ZHENG Chunchan, ZHANG Ping

DOI
https://doi.org/10.12114/j.issn.1007-9572.2022.0800
Journal volume & issue
Vol. 26, no. 10
pp. 1241 – 1249

Abstract

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Background Subjective cognitive decline (SCD) is a target for early prevention of Alzheimer's disease (AD). AD is closely related to multimorbidity, but the correlation of SCD with multimorbidity has not been well defined. Objective To investigate the correlation between SCD and multimorbidity in the elderly, providing a theoretical basis for early prevention and intervention of AD. Methods From January 2021 to June 2022, 612 elderly people aged≥60 years were sampled by convenience sampling method in urban communities and elderly care institutions in Guangzhou. The objective cognitive function was assessed using the Chinese version of Montreal Cognitive Assessment-Basic (MoCA-BC), Chinese version of Clinical Dementia Rating Scale (CDR-C), and Chinese version of Hachinski Ischemic Scale (HIS-C). SCD was diagnosed using the conceptual framework proposed by the working group of the Subjective Cognitive Decline Initiative and Chinese version of Subjective Cognitive Decline-Questionnaire 9 (SCD-Q9-C). Then according to the assessment results, participants were divided into SCD group (having normal overall objective cognitive function, SCD and SCD-Q9-C score≥5) and normal cognitive (NC) group (having normal overall objective cognitive function, and SCD-Q9-C score<5). A general information questionnaire to collect socio-demographics〔gender, age, place of residence (community or elderly care institution), years of education, marital status, type of occupation before retirement, monthly income〕and health-related information〔body mass index, waist circumference, habits of smoking, alcohol consumption and drinking tea, exercise frequency, habit and average duration of siesta, sleep quality assessed using the Chinese version of Pittsburgh Sleep Quality Index (PSQI-C), depressive symptoms assessed using the Chinese version of Patient Health Questionnaire (PHQ-9-C), anxiety symptoms assessed using the Chinese version of Generalized Anxiety Disorder Scale-7 (GAD-7-C), and activities of daily living (ADLs) assessed using the ADL Scale for Chinese Adults〕. Besides, another questionnaire to collect the history of chronic illness. The level of multimorbidity was classified into three categories〔no multimorbidity (0-1), low multimorbidity (2-4) and high multimorbidity (≥5) 〕by the number of chronic conditions. A binary Logistic regression analysis was used to explore the effect of multimorbidity on the SCD. Results The mean SCD-Q9-C score was (4.20±1.95) in 612 elderly people in this survey. Two hundred and fifty cases (40.8%) and 362 cases (59.2%) were assigned to the SCD group, and NC group, respectively. Univariate analysis showed statistically significant differences in gender, age, years of education, type of occupation before retirement, monthly income, tea drinking habits, sleep quality, depressive symptoms, anxiety symptoms and ADL scores between SCD and NC groups (P<0.05). Five hundred and seventy-four cases (93.8%) had chronic diseases, and 475 (77.6%) of them had multimorbidity, including 352 (57.5%) with low multimorbidity level and 123 (20.1%) with high multimorbidity level. The differences in multimorbidity prevalence, multimorbidity level, diabetes, arthritis and osteoporosis between SCD and NC groups were statistically significant (P<0.05). Binary Logistic regression analysis showed that older age, poor sleep quality, presence of anxiety symptoms, poor ADLs, and high level of multimorbidity were statistically significant risk factors for SCD (P<0.05), with the risk of SCD being 1.826〔95%CI (1.037, 3.216) 〕times higher for high multimorbidity level than for no multimorbidity (P<0.05). Longer years of education was a protective factor for SCD (P<0.05) . Conclusion High multimorbidity level is associated with increased risk of SCD. Community and elderly care providers can use multimorbidity as an assessment indicator of cognitive decline, and collaboratively implement management of multimorbidity and related factors to actively identify and intervene in SCD in order to delay the development of AD in older adults and promote healthy ageing.

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