Evidence map›Paper›PMID 29500461›Full record

SynthesisEuropean journal of clinical nutrition2018

Non-alcoholic beverage consumption and risk of depression: epidemiological evidence from observational studies.

Dami Kang, Youngyo Kim, Youjin Je

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of clinical nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 7 pooled it
3.7field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 7 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  5. The Impact of Lockdowns on Caffeine Consumption: A Systematic Review of the Evidence.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Dami KangDepartment of Food and Nutrition, Kyung Hee University, Seoul, South Korea.
Youngyo KimDepartment of Food and Nutrition, Kyung Hee University, Seoul, South Korea.
Youjin JeDepartment of Food and Nutrition, Kyung Hee University, Seoul, South Korea. youjinje@khu.ac.kr.
Kyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesRecent epidemiological studies have examined associations between various types of non-alcoholic beverage consumption and risk of depression, but the associations were inconsistent. To provide a quantitative assessment of this association, we performed a systematic review and meta-analysis of observational studies. SUBJECTS/

methodsWe searched PubMed and Web of Science databases through February 2017 for eligible studies and examined the reference lists of the retrieved articles. A random-effects model was used to calculate pooled relative risks (RR) with 95% CIs after adjusting for important confounders.

resultsWe identified fifteen observational studies (9 cross-sectional studies; 6 prospective studies) of beverage consumption and depression, including 20,572 cases of depression among 347,691 participants. For coffee and tea consumption, the pooled RRs of depression for the high vs. low categories of consumption were 0.73 (95% CI 0.59-0.90) and 0.71 (95% CI 0.55-0.91), respectively. For soft drinks, however, the pooled RR for the high vs. low category of consumption was 1.36 (95% CI 1.24-1.50). The inverse association with coffee or tea consumption and the positive association with soft drink consumption for risk of depression did not vary by gender, country, high consumption category, and adjustment factors such as alcohol, smoking and physical activity.

conclusionsOur findings suggest that high consumption of coffee and tea may reduce the risk of depression, while high consumption of soft drinks may increase the risk of depression. Further well-designed large prospective studies are needed to provide definitive evidence to address the effects of various types of beverages on risk of depression.

Indexed as

CoffeeDepressionDepressive DisorderTeaAdolescentAdultAgedAged, 80 and overCarbonated BeveragesChildDietary SugarsFemaleHumansMaleMiddle AgedYoung AdultCoffeeDietary SugarsTea

Identifiers

PMID29500461
OpenAlexW2790955429

What OpenQuestion holds

Textmetadata
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.