Association between Marital Status, Social Support and Lifestyle with Cognitive Impairment among Community-dwelling Older Adults: Based on the Baseline Survey of Hubei Memory and Aging Cohort Study
Bibliographic record
Abstract
Background The accelerated aging process, combined with the increase in widowhood and social isolation, has led to a rise in chronic diseases, further increasing the social burden. Objective To explore the association between the marital status of older adults and the prevalence of cognitive impairment, as well as the impact of social support and lifestyle on this association. Methods A total of 9 466 older adults aged 65 years and above from Wuhan and Xiaogan, Hubei Province, were included in this study from 2018 to 2023. Participants were categorized into a married group (n=7 055) and an unmarried group (n=2 411) based on their marital status. Baseline information was collected through structured questionnaires, and cognitive function was assessed using the Mini-mental State Examnation and the Montreal Cognitive Assessment-basic China (MoCA-BC). A multivariable Logistic regression model was employed to analyze the association between marital status and cognitive impairment in the overall population as well as in subgroups stratified by age and sex. Further analyses explored the independent and combined effects of marital status, social support, and lifestyle habits on cognitive impairment risk. Results Compared with the elderly with spouses, no spouse was an independent risk factor for cognitive impairment (OR=1.299, 95%CI=1.227-1.376, P<0.001). Further subgroup analysis showed that never married (OR=1.679, 95%CI=1.448-1.947, P<0.001) and widowed (OR=1.282, 95%CI=1.206-1.362, P<0.001) were independent risk factors for cognitive impairment in the elderly. Gender and age stratified analysis showed that never married (OR=2.316, 95%CI=1.680-3.193, P<0.001) and widowed (OR=1.731, 95%CI=1.405-2.131, P<0.001) were independent risk factors for cognitive impairment in elderly men. Widowed was an independent risk factor for cognitive impairment in elderly women (OR=1.163, 95%CI=1.002-1.351, P=0.047). In the 65-74 years old group, never married (OR=1.953, 95%CI=1.390-2.746, P<0.001) and widowed (OR=1.315, 95%CI=1.120-1.545, P=0.001) were independent risk factors for cognitive impairment. In the ≥75 years old group, widowed was an independent risk factor for cognitive impairment (OR=1.470, 95%CI=1.238-1.747, P<0.001). Multivariate Logistic regression analysis on marital status, social support and living habits associated with cognitive impairment showed that compared with the elderly with spouse and social support and healthy living habits, the elderly with spouse and social support but unhealthy living habits (OR=1.262, 95%CI=1.169-1.363, P=0.002), spouse and no social support but healthy lifestyle (OR=1.650, 95%CI=1.479-1.841, P<0.001), spouse and no social support but unhealthy lifestyle (OR=1.777, 95%CI=1.575-2.005, P<0.001), no spouse and social support with healthy lifestyle (OR=1.284, 95%CI=1.189-1.397, P<0.001), no spouse and social support with unhealthy lifestyle (OR=1.999, 95%CI=1.768-2.260, P<0.001), no spouse and social support with unhealthy lifestyle (OR=1.999, 95%CI=1.768-2.260, P<0.001), no spouse and no social support but healthy lifestyle (OR=1.680, 95%CI=1.500-1.882, P<0.001), no spouse and no social support but unhealthy lifestyle (OR=2.422, 95%CI=2.141-2.740, P<0.001), no spouse and no social support but healthy lifestyle (OR=2.422, 95%CI=2.141-2.740, P<0.001) were at increased risk for cognitive impairment. Conclusion The prevalence of cognitive impairment, especially among older adults without spouses, notably increases, particularly for those who have never married or are widowed. Regardless of marital status, the lack of social support and unhealthy lifestyle are risk factors for cognitive impairment. This study highlights the importance of paying attention to marital status, social support, and lifestyle in the health management of older adults.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".