Adherence to Medication, Physical Activity and Diet in Older Adults With Diabetes: Its Association With Cognition, Anxiety and Depression
Notice bibliographique
Résumé
BACKGROUND: Adherence to medication, physical activity (PA) and diet in diabetes mellitus (DM) patients is crucial for its good management, avoiding acute and chronic complications. There are several risk factors associated with non-adherence, including cognitive impairment, depression and anxiety. Nevertheless, studies on therapeutic adherence in older patients with DM are scarce. In this context, the present study aimed to analyze whether adherence to medication, PA and diet are associated with cognitive impairment, anxiety and depression. It also aimed to identity predictors of medication non-adherence. METHODS: A cross-sectional study of older patients (≥ 65 years old) with DM was carried out in the Outpatient Department of Internal Medicine Service of CHUSJ-Porto, Portugal. Those unable to communicate were excluded. Cognition (mini-mental state examination), anxiety and depression (hospital anxiety and depression scale) were assessed. Adherence to medication, PA and diet was measured, based on self-reporting patient/family, questionnaires, physician clinical opinion, hemoglobin test and pharmacy records. Patient groups were compared, using the Mann-Whitney or the Kruskal-Wallis test for continuous variables and the Chi-square test for paired categorical variables (significance level of 0.05). The odds ratio (OR) was calculated to identify independent predictors of non-adherence to medication. RESULTS: The final sample (n = 94) had a mean age of 75.2 years (standard deviation: 6.7) and mostly were female (53.2%), married (63.8%) and with a low education level (61.7%). Also, 22.3% with cognitive impairment, 16% with depression and 23.4% with anxiety were found. Patients non-adherent to medication had higher depression (P = 0.048) and anxiety (P = 0.010), compared to adherents/partial adherents. Patients non-adherent to PA showed higher anxiety (P = 0.035) and depression (P = 0.004), compared to adherents. Non-adherents to PA had more cognitive impairment than adherents (26.3% vs. 0%; P = 0.034). Patients who had insulin prescribed presented a higher risk of non-adherence to medication (OR: 4.041, 95% confidence interval (CI): 1.404 - 11.628; P = 0.010). Also, the risk of non-adherence to medication is higher by an increase of one unit in anxiety (OR: 1.252, 95% CI: 1.046 - 1.499; P = 0.014). CONCLUSIONS: Higher anxiety and depression were associated with non-adherence to medication and to PA. Insulin prescribed and high anxiety scores were predictors of medication non-adherence. This study appears to contribute to the knowledge about the influence of cognitive and psychological factors in therapeutic adherence in these older diabetic patients.
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 | 0,001 | 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 ».