Evidence map›Paper›PMID 32158287›Full record

ArticlePsychology research and behavior management2020

Night-Eating Syndrome and Depressive Symptoms in College Freshmen: Fitness Improvement Tactics in Youths (FITYou) Project.

Feng Guo, Ying Tian, Yufei Cui, Cong Huang

Open access · goldAbstract read
In one paragraph

Article in Psychology research and behavior management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 17 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

4 authors at 3 institutions in 2 countries.

Feng GuoInstitute of Exercise Epidemiology and Department of Physical Education, Huaiyin Institute of Technology, Huai'an, People's Republic of China.
Ying TianCollege of Sports Science, Shenyang Normal University, Shenyang, People's Republic of China.
Yufei CuiInstitute of Exercise Epidemiology and Department of Physical Education, Huaiyin Institute of Technology, Huai'an, People's Republic of China.
Cong HuangDepartment of Sports and Exercise Science, College of Education, Zhejiang University, Hangzhou, People's Republic of China.ORCID 0000-0002-2307-864X
Huaiyin Institute of Technology · CNShenyang Normal University · CNTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence has shown that night-eating syndrome is correlated to depressive symptoms. However, these studies were mainly small-scale investigations. PURPOSE: This study aimed to examine the association of night-eating syndrome with depressive symptoms among college students using a large-scale sample.

methodsA cross-sectional study, which was a part of the Fitness Improvement Tactics in Youth Project, was conducted in 2017. The current study included 3278 college freshmen from Shenyang, China. They completed self-administered questionnaires and provided their sociodemographic and lifestyle information. Night-eating syndrome was assessed using the night-eating questionnaire (NEQ). Depressive symptoms were measured using the Self-rating Depression Scale (SDS).

resultsOf participants, 5.4% had night-eating syndrome (NEQ score ≥30), and 21.3% had depressive symptoms (SDS score ≥53). Prevalence of night-eating syndrome was higher in male than female students (

conclusionThis study showed an association between night-eating syndrome and depressive symptoms among Chinese college freshmen.

Indexed as

college studentsdepressive symptomseating behaviorsnight eatingyouth

Identifiers

PMID32158287
PMCPMC7047990
OpenAlexW3007716081

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.