Impact of Acculturation on Cancer Prevention Dietary Patterns among Hispanic Families with a High Prevalence of Obesity.
Padideh LovanDevina BogaSarah E MessiahTae LeeRoberto M BenzoGuillermo PradoPublished in: Nutrition and cancer (2022)
This study aimed to 1) examine the relationship between dietary intake and cancer prevention nutrition recommendations among Hispanic families, 2) differences in daily dietary intake by acculturation category and nativity (US born vs non-US born) status. Baseline data was used from a randomized clinical trial evaluating the efficacy of an obesity preventive intervention in Hispanic youth. Participants were 280 Hispanic parents (11.8% males, 88.2% females, M age =41.87 ± 6.49; M Body Mass Index (BMI) =30.62 ± 5.68) and their adolescents (47.9% males, 52.1% females, M age =13.01 ± 0.83; M BMI Percentile =94.55 ± 4.15). Intake of added sugar, dairy, whole grains, and fruits/vegetables were obtained. Participants were categorized into four acculturation categories based on Berry's acculturation model: Marginalization, Integration, Separation, and Assimilation. Results indicated that sugar intake was significantly higher than the recommendations among all adolescents' cultural categories but not in parents. Among adolescents the consumption of whole grains was lower in integration and assimilation, dairy was lower in integration, separation, and assimilation, and fruits/vegetables was lower among marginalization, integration, and assimilation categories than the recommendations. Parents' daily intake of whole grains, dairy, and fruits/vegetables were significantly lower than the recommendations across all the acculturation categories. Participants did not meet the healthy recommendations for cancer prevention regardless of their acculturation and nativity status.
Keyphrases
- weight gain
- physical activity
- body mass index
- papillary thyroid
- young adults
- clinical practice
- squamous cell
- african american
- metabolic syndrome
- weight loss
- randomized controlled trial
- type diabetes
- insulin resistance
- squamous cell carcinoma
- health risk
- human health
- risk assessment
- health risk assessment
- mental health
- liquid chromatography
- lymph node metastasis
- childhood cancer
- drinking water
- mass spectrometry
- high fat diet induced
- preterm infants
- big data
- deep learning
- heavy metals