Epidemiological Characteristics of Dementia and Its Correlation with Multimorbidity among Residents Aged 65 and Above
Bibliographic record
Abstract
Background In the context of aging society in China, the prevalence of Alzheimer's disease increases and multimorbidity becomes more common with years. However, the extensive investigations of Alzheimer's disease in Hunan province have not been reported adequately and the multimorbidity relationship between relevant diseases remains unclear. Objective To completely understand the prevalence of Alzheimer's disease in residents aged 65 or above in Hunan and analyze its multimorbidity relationships with 11 common chronic diseases. Methods The residents aged 65 years and above in 30 districts (counties), 60 streets (townships), and 180 neighborhood (village) committees in Hunan Province were randomly selected between April and May 2021 by using stratified multistage sampling method. Alzheimer's disease was diagnosed by a neurologist or psychiatrist using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), after using the Community Screening Interview for Dementia (CSI-D) or the 8-item ascertain dementia (AD8) as the screening tools. In addition, all respondents were investigated for the prevalence of hypertension, cerebrovascular disease, ischemic heart disease, rheumatoid arthritis, intervertebral disc disease, diabetes, gastroenteritis, chronic obstructive pulmonary disease, calculous cholecystitis, peptic ulcer and cancer. Results A total of 5 979 residents were sampled, 5 616 of them completed the examinations and 785 (13.98%) were diagnosed with Alzheimer's disease. There were significant differences in the prevalence of Alzheimer's disease among respondents with different regions, gender, age, smoking history and presence of other chronic diseases (P<0.05). The total number of patients with other chronic diseases among all respondents was 5 606, with the top five diseases of hypertension〔2 205 (39.33%) 〕, intervertebral disc disease〔553 (9.86%) 〕, diabetes 〔526 (9.38%) 〕, cerebrovascular disease〔492 (8.78%) 〕, and ischemic heart disease〔467 (8.33%) 〕. The top five diseases in the dementia patients were hypertension〔325 (41.40%) 〕, cerebrovascular disease〔111 (14.14%) 〕, ischemic heart disease〔91 (11.59%) 〕, rheumatoid arthritis 〔89 (11.33%) 〕, and intervertebral disc disease〔81 (10.31%) 〕. The prevalence of dementia in patients with no chronic disease, with 1, 2, 3 or more types of other chronic diseases was 11.46% (214/1 867), 13.66% (309/2 262), 17.50% (176/1 006), and 18.26% (86/471), respectively. There were statistically significant differences in the prevalence of Alzheimer's disease between the subjects with and without gastroenteritis, rheumatoid arthritis, cerebrovascular disease, chronic obstructive pulmonary disease, and ischemic heart disease, respectively (P<0.05). Binary Logistic regression analysis showed that living in rural areas〔OR=2.048, 95%CI (1.655, 2.536) 〕, female〔OR=1.388, 95%CI (1.163, 1.655) 〕, aging〔OR=1.348, 95%CI (1.270, 1.431) 〕, and suffering from other chronic diseases〔OR=1.195, 95%CI (1.101, 1.297) 〕 were risk factors for the development of Alzheimer's disease in residents aged 65 years and above (P<0.05). The investigation results of timely medication taking in the patients with Alzheimer's disease showed that 12.79% (99/774) reported difficulties, 6.59% (51/774) needed help, and 2.97% (23/774) were unable to complete independently. Conclusion The prevalence of Alzheimer's disease in residents aged 65 years and above in Hunan Province increases with the number of other chronic diseases and correlates with multiple diseases. Great attention should be paid on the self-care ability and family care burden of Alzheimer's disease by society. The prevalence and multimorbidity of Alzheimer's disease were basically grasped by the investigation, in order to provide an objective basis for the formulation of policies on its prevention and treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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".