Evidence map›Paper›PMID 37481473›Full record

ArticleAnnals of hematology2023

Association between anemia and depression: results from NHANES 2005-2018 and mendelian randomization analyses.

Yashan Wang, Dingjie Guo, Chuanying Sui, Zihan Qu, Guangliang He, Hengyu Meng, Yuqing Duan, Xin Zhang, Linwei Lan, Chunpeng Wang and 1 more

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In one paragraph

Article in Annals of hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
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  7. Association of Anaemia and Depression: A Systematic Review and Meta-analysis.Nigerian medical journal : journal of the Nigeria Medical Association
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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

11 authors at 2 institutions in 1 country.

Yashan WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Dingjie GuoDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Chuanying SuiDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Zihan QuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Guangliang HeDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Hengyu MengDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yuqing DuanDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Xin ZhangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Linwei LanDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Chunpeng WangSchool of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China. wangcp215@nenu.edu.cn.
Xin LiuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China. liuxinjlu01@163.com.ORCID http://orcid.org/0000-0002-3486-5753
Jilin University · CNNortheast Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between anemia and depression remains controversial.

objectiveTo explore the association between anemia/hemoglobin and depression.

methodsThe data for our cross-sectional study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Weighted multivariate logistic regression was performed to examine the association between anemia/hemoglobin and depression. Inverse variance weighted (IVW), weighted-median, and MR-Egger were used in MR analyses to assess the causal relationship between anemia/hemoglobin and depression. Heterogeneity and directional pleiotropy were assessed using the Cochrane Q test and Egger-intercept test, respectively. Sensitivity analysis was conducted by the leave-one-out approach. All analyses were carried out using IBM SPSS 24.0 and R version 4.2.2.

resultsA total of 29,391 NHANES participants were included in this study. After adjusting for all covariates, the association between anemia/hemoglobin and depression was not significant (P < 0.05). IVW estimates revealed that broad anemia had no significant effect on the risk of depression (OR = 1.00, 95% CI = 0.99-1.01, P = 0.432). Findings of weighted median and MR-Egger were consistent with those from IVW (weighted median: OR = 1.00, 95% CI = 0.99-1.02; P = 0.547; MR-Egger: OR = 1.01, 95% CI = 0.98-1.03, P = 0.605). The results of three MR Analyses methods also showed no causal association between hemoglobin and depression.

conclusionsOur findings do not support a causal association between anemia and depression. The association between hemoglobin concentration and depression was not statistically significant either.

Indexed as

AnemiaMendelian Randomization AnalysisCross-Sectional StudiesHumansNonoxynolNutrition SurveysNonoxynolAnemiaDepressionHemoglobinMR analysisNHANES

Identifiers

PMID37481473
OpenAlexW4385143574

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Registered trials

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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.