RESUMEN
OBJECTIVE: This study assessed nutritional status among Thai children using anthropometry, dietary intakes, and micronutrient status. DESIGN: Cross-sectional survey with multi-stage cluster sampling. Body weight and height were measured in all children. Dietary intakes were assessed using 24-hour dietary recall. Biochemical assessment was performed in one-third of the children. SETTING: The study was conducted in Thailand's four geographical regions and Bangkok. PARTICIPANTS: 3478 Thai children aged 0.5-12.9 years. RESULTS: Stunting showed a downward trend by age group and was most prevalent among infants and toddlers. Overweight and obesity showed a significant upward trend by age group, location, and sex, and was highest among children aged 7-12.9 years. Risks of inadequate micronutrient intakes (calcium, iron, zinc, vitamins A, C, and D) were high (53.2-93.6%). Prevalence of zinc and mild vitamin A deficiencies were low; vitamin D and B12 deficiencies were nil. Vitamin D insufficiency was significantly higher in the urban area and among girls aged 7-12.9 years. Anemia was very high in infants and toddlers (56.6 and 35.2%), but showed a significant downward trend by age group. There was an overall high prevalence of iron deficiency without anemia (25%) versus iron deficiency anemia (4.2%) among children aged 4-12.9 years old. CONCLUSIONS: The high prevalence of stunting and anemia among children aged 1-3.9 years and overweight and obesity among children aged 7-12.9 years requires continued attention. While prevalence of biochemical micronutrient deficiencies was not high (except for iron), high prevalence of dietary inadequacies for several micronutrients warrants further in-depth investigations.
RESUMEN
BACKGROUND: The Global Diet Quality Score (GDQS) was developed for monitoring nutrient adequacy and diet-related noncommunicable disease risk in diverse populations. A software application (GDQS app) was recently developed for the standardized collection of GDQS data. The application involves a simplified 24-h dietary recall (24HR) where foods are matched to GDQS-food groups using an onboard database, portion sizes are estimated at the food group level using cubic models, and the GDQS is computed. OBJECTIVES: The study aimed to estimate associations between GDQS scores collected using the GDQS app and nutrient adequacy and metabolic risks. METHODS: In this cross-sectional study of 600 Thai males and nonpregnant/nonlactating females (40-60 y), we collected 2 d of GDQS app and paper-based 24HR, food-frequency questionnaires (FFQs), anthropometry, body composition, blood pressure, and biomarkers. Associations between application scores and outcomes were estimated using multiple regression, and application performance was compared with that of metrics scored using 24HR and FFQ data: GDQS, Minimum Dietary Diversity-Women, Alternative Healthy Eating Index-2010, and Global Dietary Recommendations score. RESULTS: In covariate-adjusted models, application scores were significantly (P < 0.05) associated with higher energy-adjusted mean micronutrient adequacy computed using 24HR (range in estimated mean adequacy between score quintiles 1 and 5: 36.3%-44.5%) and FFQ (Q1-Q5: 40.6%-44.2%), and probability of protein adequacy from 24HR (Q1-Q5: 63%-72.5%). Application scores were inversely associated with BMI kg/m2 (Q1-Q5: 26.3-24.9), body fat percentage (Q1-Q5: 31.7%-29.1%), diastolic blood pressure (Q1-Q5: 84-81 mm Hg), and a locally-developed sodium intake score (Q1-Q5: 27.5-24.0 points out of 100); positively associated with high-density lipoprotein cholesterol (Q1-Q5: 49-53 mg/dL) and 24-h urinary potassium (Q1-Q5: 1385-1646 mg); and inversely associated with high midupper arm circumference (Q5/Q1 odds ratio: 0.52) and abdominal obesity (Q5/Q1 odds ratio: 0.51). Significant associations for the application outnumbered those for metrics computed using 24HR or FFQ. CONCLUSIONS: The GDQS app effectively assesses nutrient adequacy and metabolic risk in population surveys.
