Epidemiological Characteristics of Dementia and Its Correlation with Multimorbidity among Residents Aged 65 and Above
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».