Evidence map›Paper›PMID 39902244›Full record

ArticleFrontiers in psychiatry2024

Associations between body mass index, high-sensitivity C-reactive protein, and depressive symptoms: NHANES 2015-2016.

Yan Zhang, Fengya Zhen, Yaxing Zhang, Cuixia An

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Yan ZhangDepartment of Psychiatry, The First Hospital of Hebei Medical University, The Mental Health Center of Hebei Medical University, The Mental Health Institute of Hebei Medical University, Shijiazhuang, Hebei, China.
Fengya ZhenDepartment of Psychiatry, The First Hospital of Hebei Medical University, The Mental Health Center of Hebei Medical University, The Mental Health Institute of Hebei Medical University, Shijiazhuang, Hebei, China.
Yaxing ZhangDepartment of Psychiatry, The First Hospital of Hebei Medical University, The Mental Health Center of Hebei Medical University, The Mental Health Institute of Hebei Medical University, Shijiazhuang, Hebei, China.
Cuixia AnDepartment of Psychiatry, The First Hospital of Hebei Medical University, The Mental Health Center of Hebei Medical University, The Mental Health Institute of Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Studies have shown associations between Body Mass Index (BMI), High-Sensitivity C-reactive protein (HSCRP), and depressive symptoms(DP). However, the complex relationship between them remains uncertain. The objective of this research is to examine the correlation between them in a substantial sample that is representative of the national level. Methods: Our analysis was based on the 2015-2016National Health and Nutrition Examination Survey (NHANES).DP was measured by the Patient Health Questionnaire-9 (PHQ-9). Using multivariable logistic regression analysis and stratified analysis, we examined the relationship between BMI, HSCRP, and DP. We applied generalized additive models to explore the non-linear relationships among variables. Results: This study included a total of 4834 participants. The results revealed that BMI ( Conclusions: Research has found both BMI and HSCRP are risk factors for DP and the relationship between them was non-linear. The nonlinear associations between BMI and DP, as well as between HSCRP and DP, are gender-dependent.

Indexed as

BMIDPHSCRPinflammationPHQ-9

Identifiers

PMID39902244
PMCPMC11788894

What Socratic 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 Socratic graph.