Evidence map›Paper›PMID 32982507›Full record

ArticleRisk management and healthcare policy2020

Depression and Perceived Stress, but Not Anxiety, are Associated with Elevated Inflammation in an Obese Adult Population.

Bin Zou, Chenfang Miao, Jiliang Chen

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 43% 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

12 citing papers in PubMed, 16 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

3 authors at 1 institution in 1 country.

Bin ZouDepartment of Orthopaedics, Affiliated Mindong Hospital of Fujian Medical University, Fuan City, Fu Jian 355000, People's Republic of China.
Chenfang MiaoDepartment of Anesthesiology, Affiliated Mindong Hospital of Fujian Medical University, Fuan City, Fu Jian 355000, People's Republic of China.
Jiliang ChenDepartment of Orthopaedics, Affiliated Mindong Hospital of Fujian Medical University, Fuan City, Fu Jian 355000, People's Republic of China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnxiety, depression and perceived stress are risk factors for adverse health problems. Inflammation participates in the development of chronic diseases such as psychiatric disorders. This study explored the relationships between inflammatory biomarkers and depression, anxiety and perceived stress in an obese adult population.

methodsThe relationships between psychological scores and inflammatory markers were analyzed.

resultsA higher BMI was not correlated with a higher anxiety score (P=0.152); however, BMI was positively associated with a higher depression score (P<0.001) and a higher perceived stress score (P<0.001). Multivariate linear regression analysis revealed that in participants with BMI≥30 and 25≤BMI<30, depression and perceived stress were significantly and independently associated with ICAM-1, E-selectin and CRP, but these associations were not observed in participants with BMI<25. The anxiety score was not associated with any inflammatory marker in any group of subjects, as determined by multivariate analysis.

conclusionDepression and perceived stress were strongly associated with increased serum levels of pro-inflammatory markers, including ICAM-1, E-selectin and CRP, among a general obese population from the United States. These results further suggest that depression and perceived stress might also be chronic systemic inflammatory diseases.

Indexed as

anxietydepressioninflammatory markersobesityperceived stress

Identifiers

PMID32982507
PMCPMC7490106
OpenAlexW3083979433

What OpenQuestion holds

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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.