Evidence map›Paper›PMID 28257107›Full record

Trial reportNutrients2017

Micronutrient-Fortified Milk and Academic  Performance among Chinese Middle School Students:  A Cluster-Randomized Controlled Trial.

Xiaoqin Wang, Zhaozhao Hui, Xiaoling Dai, Paul D Terry, Yue Zhang, Mei Ma, Mingxu Wang, Fu Deng, Wei Gu, Shuangyan Lei and 3 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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

13 authors at 4 institutions in 2 countries.

Xiaoqin WangDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. wangxiaoqin@mail.xjtu.edu.cn.
Zhaozhao HuiDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. huizhaozhao93@163.com.
Xiaoling DaiDepartment of Nursing, Shaanxi Provincial Tumor Hospital, Xi'an 710061, China. Daixling113@126.com.
Paul D TerryDepartment of Medicine, University of Tennessee Medical Center, Knoxville, TN 37996, USA. pdterry@utk.edu.
Yue ZhangDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. zymoon95@126.com.
Mei MaDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. wysun201314195@163.com.
Mingxu WangDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. wangmx601@mail.xjtu.edu.cn.
Fu DengXi'an Tie Yi High School, Xi'an 710000, China. dengfu01@126.com.
Wei GuDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. 232guwei@mail.xjtu.edu.cn.
Shuangyan LeiDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. shuangyan724@163.com.
Ling LiDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. ch@163.com.
Mingyue MaDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. wysun201314195@163.com.
Bin ZhangDepartment of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China. zhbin@mail.xjtu.edu.cn.
Xi'an Jiaotong University · CNShaanxi Provincial People's Hospital · CNUniversity of Tennessee Medical Center · USXi'an High Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many children suffer from nutritional deficiencies that may negatively affect their academic performance. This cluster-randomized controlled trial aimed to test the effects of micronutrient-fortified milk in Chinese students. Participants received either micronutrient-fortified (n = 177) or unfortified (n = 183) milk for six months. Academic performance, motivation, and learning strategies were estimated by end-of-term tests and the Motivated Strategies for Learning Questionnaire. Blood samples were analyzed for micronutrients. In total, 296 students (82.2%) completed this study. Compared with the control group, students in the intervention group reported higher scores in several academic subjects (p < 0.05), including languages, mathematics, ethics, and physical performance at the end of follow-up. Students in the intervention group showed greater self-efficacy and use of cognitive strategies in learning, and reported less test anxiety (p < 0.001). Moreover, vitamin B2 deficiency (odds ratio (OR) = 0.18, 95% confidence interval (CI): 0.11~0.30) and iron deficiency (OR = 0.34, 95% CI: 0.14~0.81) were less likely in the students of the intervention group, whereas vitamin D, vitamin B12, and selenium deficiencies were not significantly different. "Cognitive strategy" had a partial mediating effect on the test scores of English (95% CI: 1.26~3.79) and Chinese (95% CI: 0.53~2.21). Our findings suggest that micronutrient-fortified milk may improve students' academic performance, motivation, and learning strategies.

Indexed as

Educational StatusFood, FortifiedAdolescentAnemia, Iron-DeficiencyAnimalsAsian PeopleBody Mass IndexChildChinaCluster AnalysisDietFemaleFollow-Up StudiesHumansIronLogistic ModelsIronMicronutrientsRiboflavinSeleniumVitamin AVitamin B 12Vitamin Dacademic  performancefortified  milkmicronutrientmiddle  school  studentsmotivated strategies for learning

Identifiers

PMID28257107
PMCPMC5372889
OpenAlexW2593147233

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.