Physical Activity Patterns and Neighborhood Characteristics of First-Generation Latina Immigrants Living in Arizona: Cross-sectional Study
Notice bibliographique
Résumé
BACKGROUND: Metabolic diseases, including obesity and type 2 diabetes, are a major health concern for Latina immigrants. Performing regular aerobic physical activity (PA) is a lifestyle behavior associated with the prevention and control of these conditions. However, PA levels of most Latina immigrants are below national guidelines. Neighborhood environmental factors may influence the PA levels of adults, but limited research has explored associations between the neighborhood environment and PA levels among Latina immigrants. OBJECTIVE: The objective of this study was to explore the PA patterns of first-generation US Latina immigrants and how neighborhood environmental factors are related to those PA patterns. METHODS: Using a cross-sectional study design, 50 first-generation Latina immigrants completed the International Physical Activity Questionnaire (IPAQ) and the Neighborhood Scales Questionnaire, which assessed 6 perceived neighborhood factors: (1) walking environment, (2) aesthetic quality, (3) safety, (4) violence, (5) social cohesion, and (6) activities with neighbors. Median self-reported metabolic equivalent (MET)-minutes/week of PA were used to summarize domain-specific (ie, work, domestic/household, leisure, and transportation) and intensity-specific (ie, walking, moderate, vigorous, moderate to vigorous) PA patterns. Logistic regression examined associations between neighborhood factors and engaging in leisure-time PA (ie, dichotomous outcome of some versus no leisure-time PA), transportation PA (ie, dichotomous outcome of some versus no transportation PA), and meeting national PA guidelines (ie, dichotomous outcome of meeting versus not meeting guidelines). RESULTS: Preliminary analyses showed that 10 participants reported excessively high PA levels and 1 participant had incomplete PA data; these women were excluded from analyses based on IPAQ scoring guidelines. The remaining 39 participants (mean age 40.5 years; mean length of US residency 4.6 years) reported a median of 4512 MET-minutes/week of total PA. The majority of PA was acquired through domestic activities (median 2160 MET-minutes/week), followed by leisure-time PA (median 396 MET-minutes/week), transportation PA (median 198 MET-minutes/week), and work PA (0 MET-minutes/week). Intensity-specific PA patterns showed a median of 594 MET-minutes/week of walking activity and 3500 MET-minutes/week of moderate-to-vigorous PA. Logistic regression models indicated that the neighborhood factors of walking environment, aesthetic quality, and safety were positively associated with engaging in leisure-time PA (odds ratios of 5.95, 95% CI 1.49-23.74; 2.45, 95% CI 1.01-5.93; and 3.30, 95% CI 1.26-8.67, respectively) and meeting national PA guidelines (odds ratios of 4.15, 95% CI 1.13-15.18; 6.43, 95% CI 1.45-28.39; and 2.53, 95% CI 1.00-6.36, respectively). The neighborhood factors of violence, social cohesion, and activities with neighbors were not significantly associated with PA outcomes. CONCLUSIONS: Although most participants met national PA guidelines (ie, ≥500 MET-minutes/week of moderate-to-vigorous PA), the majority of their PA was achieved through domestic activities, with limited leisure, transportation, and work PA. Given that leisure-time PA in particular plays a significant role in improving health outcomes, findings suggest that many Latina immigrants could benefit from a leisure-time PA intervention. Such interventions should consider neighborhood environmental influences, as these factors may serve as determinants of PA.
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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 | 0,001 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 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 ».