Evidence map›Paper›PMID 35267987›Full record

ArticleNutrients2022

Evaluation of Dietary Quality Based on Intelligent Ordering System and Chinese Healthy Eating Index in College Students from a Medical School in Shanghai, China.

Shaojie Liu, Jiangqi Wang, Gengsheng He, Bo Chen, Yingnan Jia

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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  9. Health-Promoting Behavior and Lifestyle Characteristics of Students as a Function of Sex and Academic Level.International journal of environmental research and public health · 2022
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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 1 institution in 1 country.

Shaojie LiuKey Lab of Public Health Safety of the Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0002-8140-1185
Jiangqi WangKey Lab of Public Health Safety of the Ministry of Education, Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China.
Gengsheng HeKey Lab of Public Health Safety of the Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai 200032, China.
Bo ChenKey Lab of Public Health Safety of the Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0001-9646-1474
Yingnan JiaKey Lab of Public Health Safety of the Ministry of Education, Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We intended to precisely evaluate the dietary quality of male and female medical college students using canteen data from the "Intelligent Ordering System" (IOS), combined with the supplemental food frequency questionnaire (SFFQ) and the Chinese Healthy Eating Index (CHEI) in Shanghai, China, to explore the potential factors influencing dietary quality. A total of 283 college students with the average age of 24.67 ± 3.21 years and Body Mass Index of 21.46 ± 3.49 kg/m

Indexed as

Diet, HealthySchools, MedicalAnimalsChinaDietFemaleHumansMaleStudentsChinese healthy eating indexdiet surveyintelligent ordering systeminvestigative techniquesmedical students

Identifiers

PMID35267987
PMCPMC8912503
OpenAlexW4214509579

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.