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中国幼儿添加糖的摄入量及其与挑食和每日屏幕时间的关系。

Consumption of Added Sugar among Chinese Toddlers and Its Association with Picky Eating and Daily Screen Time.

机构信息

Department of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Yili Maternal and Infant Nutrition Institute, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, China.

出版信息

Nutrients. 2022 Apr 28;14(9):1840. doi: 10.3390/nu14091840.

DOI:10.3390/nu14091840
PMID:35565808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9102033/
Abstract

Objectives: This study aimed to examine the relationship between daily screen time, picky eating, and consumption frequency of sugared foods and sugar-sweetened beverages (SSBs). Methods: The research data came from the Young Investigation (YI) study conducted in 10 cities in China. This study used sociodemographic information, feeding behavior, picky eating reported by parents, and the consumption frequency of sugared foods and SSBs of 879 toddlers aged 1−3 years. The relationship between daily screen time and picky eating behavior was assessed using logistic regression. The zero-inflated negative binomial (ZINB) model was used to fit the consumption frequencies of sugared foods and SSBs. Results: In all, 13.1% (n = 115) of toddlers did not have sugared foods 1 month before the survey, while 73.3% (n = 644) of toddlers did not have SSBs 1 month before the survey. The consumption rate of sugared foods was relatively higher than SSBs (χ2 = 661.25, p < 0.001). After adjusting for social demographic information, no relationship was found between daily screen time and picky eating (OR = 1.437; 95% CI: 0.990,2.092). The ZINB model showed that, among children who ate sugared foods, children who were picky eaters ate them more often (IRR = 1.133; 95% CI: 1.095,1.172), but no association was found between picky eating and the chance of avoiding sugared foods (OR = 0.949; 95% CI: 0.613,1.471). Children who were picky eaters were less likely not to drink SSBs (OR = 0.664; 95% CI: 0.478,0.921). However, among children who consumed SSBs, picky eaters drank them less frequently (IRR = 0.599; 95% CI: 0.552,0.650). Children with a screen time of no less than 1 h/d ate sugared foods more frequently (IRR = 1.383; 95% CI: 1.164,1.644), and they were less likely to avoid sugared foods (OR = 0.223; 95% CI: 0.085,0.587). The longer the screen time per day was, the less likely children did not have SSBs (<1 h/d: OR = 0.272; 95% CI: 0.130, 0.569; ≥1 h/d: OR = 0.136; 95% CI: 0.057, 0.328). Conclusions: The consumption rate of sugared foods was higher than that of SSBs. Picky eating and daily screen time were related to the consumption frequency of added sugar among Chinese toddlers aged 1−3 years. Picky eaters consumed sugared foods more frequently and were more likely to drink SSBs. Children whose daily screen time reached 1 h/d were more likely to eat sugared foods and drink SSBs.

摘要

目的

本研究旨在探讨儿童每日屏幕时间、挑食行为与含糖食物和含糖饮料(SSB)消费频率之间的关系。方法:研究数据来自中国 10 个城市开展的青少年调查(YI)研究。该研究使用社会人口统计学信息、喂养行为、父母报告的挑食行为以及 879 名 1-3 岁幼儿含糖食物和 SSB 的消费频率。采用 logistic 回归评估每日屏幕时间与挑食行为之间的关系。采用零膨胀负二项(ZINB)模型拟合含糖食物和 SSB 的消费频率。结果:共有 13.1%(n=115)的幼儿在调查前 1 个月没有食用含糖食物,而 73.3%(n=644)的幼儿在调查前 1 个月没有饮用 SSB。含糖食物的消费率相对较高,而 SSB 的消费率则较低(χ2=661.25,p<0.001)。在调整社会人口统计学信息后,每日屏幕时间与挑食行为之间没有关联(OR=1.437;95%CI:0.990,2.092)。ZINB 模型显示,在食用含糖食物的儿童中,挑食的儿童食用的频率更高(IRR=1.133;95%CI:1.095,1.172),但挑食与避免食用含糖食物的可能性之间没有关联(OR=0.949;95%CI:0.613,1.471)。挑食的儿童不太可能不饮用 SSB(OR=0.664;95%CI:0.478,0.921)。然而,在饮用 SSB 的儿童中,挑食的儿童饮用的频率较低(IRR=0.599;95%CI:0.552,0.650)。每日屏幕时间不少于 1 h/d 的儿童更频繁地食用含糖食物(IRR=1.383;95%CI:1.164,1.644),并且不太可能避免食用含糖食物(OR=0.223;95%CI:0.085,0.587)。每日屏幕时间越长,儿童不饮用 SSB 的可能性越低(<1 h/d:OR=0.272;95%CI:0.130,0.569;≥1 h/d:OR=0.136;95%CI:0.057,0.328)。结论:中国 1-3 岁幼儿含糖食物的消费率高于 SSB。挑食和每日屏幕时间与中国 1-3 岁幼儿添加糖的消费频率有关。挑食的儿童更频繁地食用含糖食物,更有可能饮用 SSB。每日屏幕时间达到 1 h/d 的儿童更有可能食用含糖食物和饮用 SSB。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3315/9102033/9747584193fb/nutrients-14-01840-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3315/9102033/9747584193fb/nutrients-14-01840-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3315/9102033/9747584193fb/nutrients-14-01840-g001.jpg

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