Abstract P030: Traditional Cultural Beliefs and Length of Residence in the United States are Associated With Dietary Intakes Among South Asians
Notice bibliographique
Résumé
Background: Studies of immigrants in the United States (U.S.) have shown mixed consequences of acculturation on diet and health outcomes. Detailed investigations examining diets of South Asians in the U.S. are lacking. Objective: To examine whether nutrient and food intakes among South Asians differ by traditional cultural beliefs and length of residence in the U.S. Methods: Cross-sectional analyses of data collected from 890 South Asians [mean age (SD): 55(9) y; 47% women] who were part of the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study. Dietary data were collected using an interviewer administered, validated, culturally appropriate food frequency questionnaire. Acculturation status was assessed by a South Asian traditional cultural beliefs scale which was categorized by tertiles as weak, moderate and strong beliefs, and by length of U.S. residence also categorized using tertiles. We computed daily adjusted mean intakes of selected nutrients across the traditional cultural beliefs and length of U.S. residence tertiles using ANCOVA. Final models were adjusted for age, sex, education, and daily energy intake. Differences in the consumption of foods and food groups (servings/week) between the groups were examined using the Kruskal-Wallis test. Results: Length of residence [mean 27 (10.8) y] in the U.S was directly associated with traditional cultural beliefs (P<0.001). Higher daily intakes of total fat, saturated fat, and dietary cholesterol were associated with weak traditional cultural beliefs and a longer length of residence in the U.S. Higher daily intakes of energy, carbohydrate, glycemic index and load, and protein were associated with strong traditional beliefs and a shorter length of residence in the U.S (P for trend <0.05). Weak traditional cultural beliefs and/or a longer length of residence in the U.S. were associated with higher weekly intakes of alcoholic beverages, meat, poultry, seafood and eggs, mixed dishes such as pizza and pasta, fats and oils, and lower intakes of beans and lentils, breads, grains and flour products, fried foods, milk and dairy products, nuts, rice and rice preparations and starchy vegetables (P for differences across groups <0.05). Conclusions: Cultural beliefs and length of residence in the U.S. both influence dietary intakes of South Asian immigrants. Unlike other immigrants, more acculturation in South Asians is associated with higher intakes of fat and animal protein and lower intakes of refined carbohydrates. These factors should therefore be considered when investigating and planning dietary interventions among South Indians to mitigate chronic disease risk.
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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 | 0,000 | 0,002 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».