Evidence map›Paper›PMID 27543189›Full record

ArticleEuropean journal of nutrition2017

Dietary patterns are associated with depressive symptoms among Chinese adults: a case-control study with propensity score matching.

Yang Xia, Na Wang, Bin Yu, Qing Zhang, Li Liu, Ge Meng, Hongmei Wu, Huanmin Du, Hongbin Shi, Xiaoyan Guo and 21 more

Abstract read
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In one paragraph

Article in European journal of nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
6.4field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  9. Relationship between dietary pattern and depressive symptoms: an international multicohort study.The international journal of behavioral nutrition and physical activity · 2023
    Article
  10. The emerging role of copper in depression.Frontiers in neuroscience · 2023
    Review
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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

31 authors at 2 institutions in 1 country.

Yang XiaNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Na WangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Bin YuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Qing ZhangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Li LiuHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Ge MengNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Hongmei WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Huanmin DuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Hongbin ShiHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Xiaoyan GuoNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Xing LiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Chunlei LiNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Peipei HanDepartment of Rehabilitation and Sports Medicine, Tianjin Medical University, Tianjin, China.
Renwei DongDepartment of Rehabilitation and Sports Medicine, Tianjin Medical University, Tianjin, China.
Xiuyang WangDepartment of Rehabilitation and Sports Medicine, Tianjin Medical University, Tianjin, China.
Xue BaoNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Qian SuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Yeqing GuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Liyun FangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Fei YuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Huijun YangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Li KangDepartment of Rehabilitation and Sports Medicine, Tianjin Medical University, Tianjin, China.
Yixuan MaDepartment of Rehabilitation and Sports Medicine, Tianjin Medical University, Tianjin, China.
Shaomei SunHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Xing WangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Ming ZhouHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Qiyu JiaHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Qi GuoDepartment of Rehabilitation and Sports Medicine, Tianjin Medical University, Tianjin, China.
Yuntang WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Kun SongHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Kaijun NiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China. nkj0809@gmail.com.
Tianjin Medical University · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrevious studies have indicated that consumption of particular foods or nutrients is associated with depressive symptoms, but little is known about the role of overall dietary patterns in depressive symptoms. We design this case-control study to evaluate the associations between dietary patterns and high depression symptoms in Chinese adults.

methodsA total of 1351 participants with high depressive symptoms were matched with 1351 controls using the 1:1 ratio propensity score matching method. Dietary intake was assessed using a valid self-administered food frequency questionnaire, and high depressive symptoms were assessed with the Zung Self-Rating Depression Scale, wherein cutoff point of 45 was used as a definition of high depressive symptoms.

resultsExploratory factor analysis revealed three dietary patterns (vegetables and fruits pattern; sweets pattern; and animal foods pattern) explaining 25.1 % of the total variance. Compared with the participants in the lowest quartile, the participants in the highest quartile of vegetables and fruits pattern, which was defined as a healthy pattern, were associated with reduced odds of high depressive symptoms (OR 0.65, 95 % CI 0.52-0.83, P for trend <0.001) while the sweets pattern (OR 1.33, 95 % CI 1.06-1.66) and the animal foods pattern (OR 1.79, 95 % CI 1.43-2.24, P for trend <0.0001) were associated with increased prevalence of high depressive symptoms, respectively.

conclusionThe present study adds to the evidence that the sweets pattern and animal foods pattern are positively associated with the prevalence of high depressive symptoms. In contrast, the dietary pattern rich in vegetables, fruits, and soya bean products, but low in animal foods, candied fruits, cakes, ice cream, sugared beverages, and alcoholic drinks is negatively associated with the prevalence of high depressive symptoms.

Indexed as

Asian PeopleDietBody Mass IndexCase-Control StudiesChinaDepressionExerciseFemaleFruitHealth BehaviorHumansMaleMiddle AgedNutrition AssessmentPropensity ScoreSocioeconomic FactorsDepressive symptomsDietary patternsORPropensity score matching

Identifiers

PMID27543189
OpenAlexW2511748220

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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.