Evidence map›Paper›PMID 35565808›Full record

ArticleNutrients2022

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

Pin Li, Zhongxia Ren, Jian Zhang, Hanglian Lan, Ignatius Man-Yau Szeto, Peiyu Wang, Ai Zhao, Yumei Zhang

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Pin LiDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0003-3164-8806
Zhongxia RenDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0002-3424-5247
Jian ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0001-7246-2608
Hanglian LanYili Maternal and Infant Nutrition Institute, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, China.
Ignatius Man-Yau SzetoYili Maternal and Infant Nutrition Institute, Inner Mongolia Yili Industrial Group Co., Ltd., Hohhot 010110, China.
Peiyu WangDepartment of Social Science and Health Education, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Ai ZhaoVanke School of Public Health, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-1679-973X
Yumei ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0002-0103-7900
Peking University · CNInner Mongolia Yili Industrial Group (China) · CNVanke (China) · CN

Funding

Inner Mongolia Dairy Technology Research Institute Co. Ltd. No. YL20190012
6 · The paper itself

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.

Indexed as

Food FussinessChild, PreschoolFeeding BehaviorFood PreferencesHumansParentsScreen TimeSugarsSugarsadded sugarkey toddlerspicky eatingscreen timezero-inflated negative binomial model

Identifiers

PMID35565808
PMCPMC9102033
OpenAlexW4225162681

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.