Types of Knowledge, Beliefs, Behaviors of Reducing Dementia Risk in Middle-aged and Elderly Adults in Community and Difference Analysis of Cognitive Function
Notice bibliographique
Résumé
Background Lifestyle is an important modifiable risk factor for dementia. Knowledge and beliefs are important factors affecting lifestyle. However, there is a lack of research on the types of knowledge, beliefs, behaviors of reducing dementia risk, and it remains unclear whether there are differences in dementia risk and cognitive function among residents with different types of knowledge, belief, and behavior. Objective To understand the current situation of knowledge, beliefs, behaviors of reducing dementia risk in the middle-aged and elderly adults in the community, explore and analyze the types of knowledge, beliefs and behaviors and the differences of cognitive function, and provide a basis for the development of targeted dementia prevention measures in the community. Methods From March 2021 to February 2022, middle-aged and elderly adults who participated in free health checkups at community health centers and established health management files in five communities in Shapingba District of Chongqing were selected as the survey objects by convenience sampling method. The general information questionnaire, Dementia Knowledge Assessment Scale (DKAS), Motivation to Change Lifestyle and Health Behaviors for Dementia Risk Reduction (MCLHB-DRR), Dementia Risk Reduction Lifestyle Scale (DRRLS), Beijing version of Montreal Cognitive Assessment (MoCA) and Cardiovascular Risk Factors, Aging and Dementia (CAIDE) scores were used for the investigation. K-means cluster analysis was used to classify the knowledge, beliefs, behaviors of reducing dementia risk of residents, and the differences in demographic characteristics, cognitive function and dementia risk among different types were compared and analyzed. Results A total of 232 questionnaires distributed and 211 valid questionnaires were recovered, with an effective recovery rate of 90.9%. The cluster analysis results showed that the knowledge, beliefs and behaviors of reducing dementia risk of the middle-aged and elderly adults in the community could be divided into three types of good knowledge, beliefs and behaviors type, low knowledge-poor behaviors type, low beliefs-poor behaviors type, which accounted for 39.8% (84/211), 37.4% (79/211), and 22.8% (48/211), respectively. The average years of education of middle-aged and elderly residents in good knowledge, beliefs and behaviors type were significantly higher than those in low knowledge-poor behaviors type (t=2.703, P<0.001), and low beliefs-poor behaviors type (t=1.524, P=0.022). The CAIDE scores of residents in low knowledge-poor behaviors type (t=1.431, P<0.001) and low beliefs-poor behaviors type (t=1.080, P=0.002) were significantly higher than those in good knowledge, beliefs and behaviors type. The MoCA scores of residents in low knowledge-poor behaviors type were lower than those in good knowledge, beliefs and behaviors type (t=-2.529, P<0.001) and low beliefs-poor behaviors type (t=-1.869, P=0.018) . Conclusion The knowledge, beliefs, behaviors of reducing dementia risk of the middle-aged and elderly adults in the community could be divided into three types of good knowledge, beliefs and behaviors type, low knowledge-poor behaviors type, low beliefs-poor behaviors type, and there are significant differences in years of education, dementia risk and cognitive function scores among the different types. Developing targeted dementia prevention measures based on the characteristics of different types of knowledge, beliefs, behaviors of reducing dementia risk, may be effective in reducing the risk of dementia and maintaining or slowing cognitive decline.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 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 ».