Evidence map›Paper›PMID 26690192›Full record

ArticleInternational journal of environmental research and public health2015

Association of Vitamin A Status with Overnutrition in Children and Adolescents.

Chun Yang, Jing Chen, Zhen Liu, Chunfeng Yun, Yajie Li, Jianhua Piao, Xiaoguang Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

7 authors at 1 institution in 1 country.

Chun YangKey Laboratory of Trace Element Nutrition, National Health and Family Planning Commission of China, Department of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China. inyingyangchun@163.com.
Jing ChenKey Laboratory of Trace Element Nutrition, National Health and Family Planning Commission of China, Department of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China. chenjing1909@sina.com.
Zhen LiuKey Laboratory of Trace Element Nutrition, National Health and Family Planning Commission of China, Department of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China. janet604@126.com.
Chunfeng YunKey Laboratory of Trace Element Nutrition, National Health and Family Planning Commission of China, Department of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China. sallyycf@163.com.
Yajie LiKey Laboratory of Trace Element Nutrition, National Health and Family Planning Commission of China, Department of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China. yjsome@163.com.
Jianhua PiaoKey Laboratory of Trace Element Nutrition, National Health and Family Planning Commission of China, Department of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China. piaojh@163.com.
Xiaoguang YangKey Laboratory of Trace Element Nutrition, National Health and Family Planning Commission of China, Department of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China. xgyangcdc@vip.sina.com.
National Health and Family Planning Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to examine the possible association between vitamin A status and overnutrition in Chinese urban children and adolescents. Weight, height and serum retinol were assessed in total 3457 children (7-9.9 years of age) and adolescents (10-17 years of age), using urban region data from the China National Nutrition and Health Survey 2010-2013 (CHNNS2010-2013) which is a nationally representative cross-sectional study. Prevalence of low serum concentration of retinol was 26.8% and 12.24% for overweight. Retinol inadequacy was significantly higher in children (32.13%) than in adolescents (24.48%). The average of retinol was significantly higher in overnutrified 42.32 μg/dL versus non-overnutrified 41.05 μg/dL (p = 0.00) children and adolescents. Overnutrified children and adolescents presented a greater chance of an increase in serum concentration of retinol (odds ratio 1.34, 95% confidence interval 1.10-1.63, and 1.48, 95% confidence interval (1.26-1.74) when compared with non-overnutrified children. An important correspondence between vitamin A deficiency and overnutrition was found. Non-overnutrified children and adolescents may have a greater chance of presenting low concentrations of retinol. Future public health strategies focused on the overnutrified population and vitamin A supplements should consider the effect of retinol on urban children and adolescents in China.

Indexed as

AdolescentBiomarkersChildChinaCross-Sectional StudiesFemaleHealth SurveysHumansMaleOvernutritionPrevalenceUrban HealthVitamin AVitamin A DeficiencyBiomarkersVitamin Aadolescentsbody mass indexchildrenvitamin A

Identifiers

PMID26690192
PMCPMC4690934
OpenAlexW2194629303

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.