Evidence map›Paper›PMID 31138144›Full record

ArticleEnvironmental health and preventive medicine2019

Socioeconomic and lifestyle factors associated with depressive tendencies in general Japanese men and women: NIPPON DATA2010.

Harumitsu Suzuki, Aya Kadota, Nagako Okuda, Takehito Hayakawa, Nobuo Nishi, Yasuyuki Nakamura, Hisatomi Arima, Naoko Miyagawa, Atsushi Satoh, Naomi Miyamatsu and 9 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2019. 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
2.4field-weighted citation impact, top 12% 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, 14 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

19 authors at 13 institutions in 1 country.

Harumitsu SuzukiCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan.
Aya KadotaCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan.
Nagako OkudaDepartment of Health and Nutrition, University of Human Arts and Sciences, Saitama, Japan.
Takehito HayakawaThe Kinugasa Research Organization, Ritsumeikan University, Kyoto, Japan.
Nobuo NishiInternational Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
Yasuyuki NakamuraDepartment of Food Sciences and Human Nutrition, Ryukoku University, Otsu, Japan.
Hisatomi ArimaFaculty of Medicine, School of Medicine, Fukuoka University, Fukuoka, Japan.
Naoko MiyagawaInternational Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
Atsushi SatohFaculty of Medicine, School of Medicine, Fukuoka University, Fukuoka, Japan.
Naomi MiyamatsuDepartment of Clinical Nursing, Shiga University of Medical Science, Otsu, Japan.
Masahiko YanagitaDepartment of Health and Sports Science, Doshisha University, Kyotanabe, Japan.
Hiroshi YatsuyaDepartment of Public Health, Fujita Health University School of Medicine, Toyoake, Japan.
Zentaro YamagataDepartment of Health Sciences, Yamanashi University, Kofu, Japan.
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University, Tokyo, Japan.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University, Tokyo, Japan.
Hirotsugu UeshimaCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan.
Akira OkayamaResearch Institute of Strategy for Prevention, Tokyo, Japan.
Katsuyuki MiuraCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan. miura@belle.shiga-med.ac.jp.
NIPPON DATA2010 Research Group
Shiga University of Medical Science · JPFukuoka University · JPDoshisha University · JPFujita Health University · JPKeio University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPNational Institute of Infectious Diseases · JPRitsumeikan University · JPRyukoku University · JPTeikyo University · JPUniversity of Human Arts and Sciences · JPUniversity of Yamanashi · JPWakayama Medical University · JP

Funding

Ministry of Health, Labour and Welfare H22-Junkankitou-Seishuu-Sitei-017Ministry of Health, Labour and Welfare H25- Junkankitou-Seishuu-Sitei-022Ministry of Health, Labour and Welfare H30-Junkankitou-Seishuu-Sitei-002
6 · The paper itself

Abstract

backgroundThe gender-specific characteristics of individuals at an increased risk of developing depression currently remain unclear despite a higher prevalence of depression in women than in men. This study clarified socioeconomic and lifestyle factors associated with an increased risk of subclinical depression in general Japanese men and women.

methodsStudy participants were residents not receiving psychiatric treatments in 300 sites throughout Japan in 2010 (1152 men, 1529 women). Multivariable-adjusted odds ratios (OR) and 95% confidence intervals (95%CIs) for socioeconomic factors and lifestyle factors were calculated using a logistic regression analysis.

resultsRisk of depressive tendencies was significantly higher in men who were single and living alone (OR, 3.27; 95% CI, 1.56-6.88) than those married. The risk was significantly lower in women who were not working and aged ≥ 60 years (OR, 0.39; 95% CI, 0.22-0.68) and higher in men who were not working and aged < 60 years (OR, 3.57; 95%CI, 1.31-9.72) compared with those who were working. Current smoking was also associated with a significantly increased risk of depressive tendencies in women (OR, 2.96; 95% CI, 1.68-5.22) but not in men.

conclusionsSocioeconomic and lifestyle factors were associated with an increased risk of depressive tendencies in general Japanese. Related factors were different by sex.

Indexed as

AdultAgedCommunity PsychiatryDepressionFemaleHealth SurveysHumansJapanLife StyleMaleMiddle AgedOdds RatioPrevalenceRisk FactorsSocioeconomic FactorsDepressionGenderJapaneseLifestyleSocial psychiatrySocioeconomic factors

Identifiers

PMID31138144
PMCPMC6540356
OpenAlexW2947830218

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.