Analysis of multi‐dimensional cognitive function of different sexes in the middle‐aged and elderly people at high altitude
Notice bibliographique
Résumé
Abstract Background To explore the overall and multi‐dimensional cognitive function of middle‐aged and elderly people and gender difference analysis of its influencing factors under hypoxia environment. Method From January 2018 to December 2021, using cross‐sectional study design, all participants from Xining, Qinghai Province (with an average altitude of 2,500m) who have lived for more than 20 years were selected.General data questionnaire survey, laboratory collection, overall and multi‐dimensional cognitive function assessment were conducted. Result A total of 500 middle‐aged and elderly people were included in this study, 299 males and 201 females, with an average age of 64.17 ± 10.58 years. Compared with women, there were more men working in civil service, earning more than 5000 months, smoking and drinking, accompanied by hypertension and diabetes ( P <0.01, P <0.001), but Geriatric Depression Scale(GDS)and Pittsburgh sleep quality index (PSQI) scores were significantly lower ( P <0.01).Compared with women’s multiple cognitive domains, scores of Mini mental state examination(MMSE), Complex Figure Test Delay Recall(CFT‐DR), Digit Span Forward(DSF) and Digit Span Backward(DSB) in men were higher ( P <0.05, P<0.01), while scores of Trail Making Test (TMT‐A and TMT‐B) were significantly lower ( P <0.01, P <0.001).The neutrophil lymphocyte ratio (NLR) and homocysteine (HCY) in peripheral blood were higher than those in women ( P <0.05, P <0.01). Covariance analysis showed after adjusting for education level that scores of MMSE and situational memory (CFT‐DR) of men in different age groups were higher than those of women, while scores of attention (TMT‐A) and executive ability (TMT‐B) were lower than those of women ( P <0.05, P <0.01). After adjusting for age, scores of MMSE and CFT‐DR of men in primary school, middle school and high school were higher than those of women ( P <0.05, P <0.01). With the influence of education level, men’s TMT‐A scores showed a trend of lower ( P <0.05, P <0.01), while women’s TMT‐A scores changed little.TMT‐B score of men was lower than that of women in the four education stages ( P <0.05), but there was no trend for men and women to optimize with the increase of education level. Conclusion Middle‐aged and elderly people of different sexes living in high altitude hypoxic environment may have different multidimensional cognitive decline.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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) | 0,000 | 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 tête enseignante, 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 ».