Sex Differences in Diet Quality and Nutrient Intake in Adults Living With Chronic Kidney Disease
Notice bibliographique
Résumé
Recognition is growing that sex impacts outcomes in kidney disease. Women tend to have slower kidney function decline and better controlled risk factors pre-dialysis but the same mortality rates as men once dialysis starts. In the general population, women tend to have higher diet quality scores. Little is known about how sex differences impact diet quality and how this may explain known sex differences in this population. Diet History Questionnaire-3 (DHQ3) was administered to adults attending the Grey Nuns Hospital in Edmonton Alberta pre-dialysis (CKD; n = 46) or Hemodialysis (HD; n = 65) clinics. Healthy Eating Index (HEI) was used to assess diet quality. Nutrient intake was assessed per kg of body weight and adjusted for energy intake (i.e., per 1000kcal). Outcomes were assessed with subjects divided into sex category and clinic (CKD vs HD). Two tailed t-tests were used to test for sex differences in parametric variables. HEI scores were compared to age-matched general population values and sorted into below or above the comparator. Chi-square test were used to test for statistical significance in categorical variables. 110 participants were included, 51 females and 60 males. There was no sex difference in mean HEI between females (61.2 ± 9.7) and males (59.9 ± 8.8; p = 0.464). 57% of females and 60% of males had HEI scores below mean age-matched HEI scores for the general population and no sex differences were observed. Pre-dialysis females had higher whole fruit composite scores vs pre-dialysis males (females 4.7 ± 0.7; males 3.8 ± 1.6, p = 0.015). Males consumed more total and mg/kg body weight protein, potassium, phosphorus and sodium than females (all p < 0.05); however, when intakes were adjusted for energy intake, there was no difference. In this cohort of patients with CKD there were no observed differences in diet quality score between males and females. The majority of CKD patients had lower diet quality scores than the general population which might explain, to some extent, the few sex differences observed in this population. However, the higher whole fruit composite scores in pre-dialysis women may to some degree explain sex differences observed in pre-dialysis kidney disease. Further studies exploring dietary intake and sex differences in this population appear warranted. None.
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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 ».