| Literature DB >> 25934087 |
Yong Xue1, Eva Lee2, Ke Ning1, Yingdong Zheng3, Defu Ma1, Hongchong Gao4, Baoru Yang5, Ying Bai6, Peiyu Wang1, Yumei Zhang7.
Abstract
Previous studies have demonstrated the importance of eating behaviour regarding dietary variety and nutrient intake of children. However, the association between picky eating and growth of children is still a topic of debate. This study sought to estimate the prevalence of picky eating and to identify possible associations with the growth of school-age children in China. In this survey, 793 healthy children aged 7-12 years were recruited from nine cities and rural areas in China using a multi-stage cluster sampling method. Data collected included socio-demographic information and parents' perceptions of picky eating using a structured questionnaire, nutrient intake using 24-hour dietary recall, weight and height using body measurements, and intelligence using the Wechsler Intelligence Scale for Children. Blood samples were collected and analysed for minerals. The prevalence of picky eating reported by parents was 59.3% in children. Compared with non-picky eaters, picky eaters had a lower dietary intake of energy, protein, carbohydrates, most vitamins and minerals, and lower levels of magnesium, iron, and copper in the blood (p < 0.05), and also had a 0.184 z-score lower in height for age (95% CI: -0.332, 0.036; p = 0.015), a 0.385 z-score lower in weight for age (95% CI: -0.533, -0.237; p < 0.001), a 0.383 z-score lower in BMI for age (95% CI: -0.563, -0.203; p < 0.001), and scored 2.726 points higher on the intelligence test (95% CI: 0.809, 4.643; p = 0.006) when adjusted for children's birth weight and food allergy, mothers' education, and family income. Picky eating behaviour towards meat, eggs and vegetables showed negative associations with growth. Picky eating behaviour is prevalent in school-age children in China and may have a negative effect on growth.Entities:
Keywords: Chinese; Dietary intake; Growth and development; Intelligence; Picky eating
Mesh:
Year: 2015 PMID: 25934087 DOI: 10.1016/j.appet.2015.04.065
Source DB: PubMed Journal: Appetite ISSN: 0195-6663 Impact factor: 3.868