Evidence map›Paper›PMID 33228615›Full record

ArticleBMC psychiatry2020

The association between depressive symptoms and self-rated health among university students: a cross-sectional study in France and Japan.

Mami Ishida, Ilaria Montagni, Keiichi Matsuzaki, Tomonari Shimamoto, Tanguy Cariou, Takashi Kawamura, Christophe Tzourio, Taku Iwami

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 42 citations in OpenAlex.

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  19. Health indicators and poor health dynamics during COVID-19 pandemic.Current psychology (New Brunswick, N.J.) · 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

8 authors at 2 institutions in 2 countries.

Mami IshidaDepartment of Preventive Services, Kyoto University School of Public Health, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan.
Ilaria MontagniTeam HEALTHY, UMR 1219, University of Bordeaux, Inserm, Bordeaux Population Health Research Center, F-33000, Bordeaux, France.
Keiichi MatsuzakiKyoto University Health Service, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan. matsuzaki.keiichi.4v@kyoto-u.ac.jp.ORCID 0000-0002-2113-1574
Tomonari ShimamotoKyoto University Health Service, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan.
Tanguy CariouTeam HEALTHY, UMR 1219, University of Bordeaux, Inserm, Bordeaux Population Health Research Center, F-33000, Bordeaux, France.
Takashi KawamuraKyoto University Health Service, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan.
Christophe TzourioTeam HEALTHY, UMR 1219, University of Bordeaux, Inserm, Bordeaux Population Health Research Center, F-33000, Bordeaux, France.
Taku IwamiKyoto University Health Service, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan.
Kyoto University · JPUniversité de Bordeaux · FR

Funding

Agence Nationale de la Recherche ANR-10-COHO-05Conseil Régional de Nouvelle-Aquitaine (FR) 4370420Kyoto University (JP) Incubation Program
6 · The paper itself

Abstract

backgroundDepressive disorders in University students have risen dramatically in the past few decades to the extent that students' mental health has become a current global public health priority. Obtaining information from University students about their mental health is challenging because of potential embarrassment of disclosing one's concerns and fear of stigmatization. Self-rated health might be a good solution to evaluate mental health state by a simple and neutral indicator. The aim of the study is to investigate the association between depressive symptoms and self-rated health by sex among University students in France and Japan.

methodsA cross-sectional study was conducted by using two large cohorts of students aged ≥18 years (n = 5655 in Bordeaux, France and n = 17,148 in Kyoto, Japan). Depressive symptoms (PHQ-2 scale), Likert scale of self-rated health, socio-demographic characteristics and health habits were collected through self-administered questionnaires. Multivariate logistic regression models were performed to describe the association between depressive symptoms and other variables including self-rated health, stratified by sex.

resultsA high score of PHQ-2 (high depressive symptoms) was associated with poor self-rated health in both cohorts independently of all other variables (OR 2.82, 95%CI 1.99-4.01 in France, OR 7.10, 95%CI 5.76-8.74 in Japan). Although the prevalence of depressive symptoms between sexes was different in French students (males 15.4%, females 25.0%, p < 0.001), it was similar in Japanese students (males 3.5%, females 3.3%, p = 0.466), who reported less depressive symptoms than French students. The association between depressive symptoms and poor self-rated health was greater in Japanese females (OR 12.40, 95%CI 7.74-20.00) than in males (OR 6.30, 95%CI 4.99-7.95), whereas the strength of the association was almost similar in French students (OR 2.17, 95%CI 0.86-5.47 in males, OR 2.98, 95%CI 2.03-4.38 in females).

conclusionsDepressive symptoms were associated with self-rated health among University students in both countries with slightly differences in sex. Self-rated health would be a simple, reliable and universal indicator for healthcare professionals and University staff to identify students at risk of depression.

Indexed as

DepressionUniversitiesAgedCross-Sectional StudiesFemaleFranceHumansJapanMalePrevalenceStudentsSurveys and QuestionnairesCross-country comparisonDepressionHealth conditionsSelf-rated healthSexStudents

Identifiers

PMID33228615
PMCPMC7685657
OpenAlexW3108925641

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.