Obesity Risk Assessment for Spanish-Speaking Immigrant Families with Young Children in the United States: Reliability and Validity with Nutrient Values.
Marilyn S TownsendMical K ShiltsLouise LanoueChristiana DrakeL Karina Díaz RiosNancy L KeimDennis M StyneLenna L OntaiPublished in: Children (Basel, Switzerland) (2023)
The purpose is to examine validity and reliability for an obesity risk assessment tool developed in Spanish for immigrant families with children, 3-5 years old using an 8-week cross-sectional design with data collected over 1 year at Head Start and Special Supplemental Nutrition Program for Women, Infants and Children [WIC]. Parent/child dyads (206) provided a child obesity risk assessment, three child modified 24 h dietary recalls, three child 36+ h activity logs and one parent food behavior checklist. Main outcome measures were convergent validity with nutrients, cup equivalents, and diet quality and three assessments of reliability that included item difficulty index, item discrimination index, and coefficient of variation. Validity was demonstrated for assessment tool, named Niños Sanos . Scales were significantly related to variables in direction hypothesized [ p ≤ 0.05]: Healthy Eating Index, fruit/vegetable cup equivalents, folate, dairy cup equivalents, vitamins D, β-carotene, fiber, saturated fat, sugar, time at screen/ sleep/physical activity and parent behaviors. Three measures of reliability were acceptable. The addition of nutrient values as an analytical validation approach adds strength and consistency to previously reported Niños Sanos validation results using children's blood biomarkers and body mass index. This tool can be used by health professionals as an assessment of obesity risk in several capacities: (1) screener for counseling in a clinic, (2) large survey, (3) guide for participant goal setting and tailoring interventions, and (4) evaluation.
Keyphrases
- physical activity
- weight loss
- risk assessment
- insulin resistance
- body mass index
- metabolic syndrome
- weight gain
- high fat diet induced
- mental health
- type diabetes
- cross sectional
- young adults
- heavy metals
- human health
- quality improvement
- electronic health record
- primary care
- magnetic resonance imaging
- clinical trial
- smoking cessation
- artificial intelligence
- pregnant women
- sleep quality
- hiv infected
- machine learning
- fatty acid
- mass spectrometry