ArticleJournal of global health2025
Association of cardiometabolic multimorbidity and high-risk lifestyle behaviours with subjective cognitive decline: baseline findings from the China ageing and health survey.
Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- National prevalence and care needs of dementia in adults aged ≥55 years: Findings from the china mental health survey summary box.The journal of prevention of Alzheimer's disease · 2026Article
- Association between Cardiovascular-Kidney-Metabolic (CKM) syndrome staging and falls among community-dwelling older adults: a cross-sectional study.BMC geriatrics · 2026Article
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8 authors.
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Abstract
Background: Previous studies have reported associations between subjective cognitive decline (SCD) and both cardiometabolic multimorbidity (CMM, the co-occurrence of ≥2 cardiometabolic diseases (CMDs), including coronary heart disease, stroke, and diabetes) and lifestyle factors (LFs). While urban-rural disparities in health care access and risk factor distribution are well known, variations in these associations and the interaction between LFs and CMM among individuals with SCD in non-high-income countries remain unclear. This study aimed to investigate the association of CMM and LFs with SCD in older adults living in rural or urban areas in China. Methods: This population-based study included 41 859 older adults (median age 72.0 years; 52.48% female; 38.95% rural) from 31 provincial regions in China. Subjective cognitive decline was assessed using the Eight-Item Informant Interview to Differentiate Aging and Dementia. High-risk LFs included tobacco smoking, alcohol drinking, unhealthy diet, low physical activity, and unhealthy body shape. Cardiometabolic diseases were assessed by self-reported physician diagnoses. Lifestyle factors were collected via interviewer-administered questionnaires. Logistic regression, relative excess risk due to interaction and attributable proportion were used to assess associations and additive interactions. Results: Cardiometabolic multimorbidity (odds ratio (OR) = 2.36; 95% confidence intervals (CI) = 2.10, 2.66) and the number of CMDs (OR = 1.49; 95% CI = 1.43, 1.56) were significantly associated with an increased likelihood of SCD. Gradients in the associations between the number of high-risk LFs and SCD were observed (P < 0.05), except for five high-risk LFs. These associations were stronger in rural than in urban residents (P for interaction <0.05). Significant additive interaction was found between high-risk LFs and CMM (relative excess risk due to interaction = 1.63, 95% CI = 0.67, 2.59; attributable proportion = 0.54, 95% CI = 0.22, 0.86) for SCD. Conclusions: The coexistence of CMM and high-risk LFs exhibited an additive association with SCD. These findings highlight the need for integrated management of modifiable CMDs and lifestyle risk factors, and may inform prioritisation of rural populations.
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