Evidence map›Paper›PMID 36235720›Full record

ArticleNutrients2022

Low Dietary Diversity for Recommended Food Groups Increases the Risk of Obesity among Children: Evidence from a Chinese Longitudinal Study.

Haiquan Xu, Songming Du, Ailing Liu, Qian Zhang, Guansheng Ma

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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, 3 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Haiquan XuInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100081, China.ORCID 0000-0002-0523-4039
Songming DuChinese Nutrition Society, Beijing 100022, China.
Ailing LiuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Qian ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Guansheng MaDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0001-8022-4597
Chinese Center For Disease Control and Prevention · CNChinese Nutrition Society · CNMinistry of Agriculture and Rural Affairs · CNPeking University · CN

Funding

National Natural Science Foundation of China 71804079National Natural Science Foundation of China 7181101099the China Ministry of Science and Technology 2008BAI58B05the Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences ASTIP2022
6 · The paper itself

Abstract

The association between dietary diversity and childhood obesity remains unclear; therefore, this longitudinal study was conducted to analyze the effect of dietary diversity on childhood obesity. One year after the first investigation, a follow-up was completed in 2010. A total of 4538 participants were included for analysis. Dietary diversity scores were calculated based on the consumption of nine recommended food groups which were categorized in accordance with the 2013 United Nations Food and Agriculture Organization guidelines. After a one-year follow-up, the low-score group underwent a significantly more considerable change in weight, body mass index, and body fat percentage than the high-score group (4.62 vs. 4.06 kg, 0.76 vs. 0.51 kg/m

Indexed as

OverweightPediatric ObesityBody Mass IndexChildChinaHumansLongitudinal Studieschildhood obesityChinese childrendietary diversity scoreslongitudinal study

Identifiers

PMID36235720
PMCPMC9571432
OpenAlexW4303961871

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.