Evidence map›Paper›PMID 36794066›Full record

ArticleFrontiers in public health2023

A cross-sectional study of smoking and depression among US adults: NHANES (2005-2018).

Zhaoping Wu, Qiang Yue, Zhen Zhao, Jun Wen, Lanying Tang, Zhenzhen Zhong, Jiahui Yang, Yingpu Yuan, Xiaobo Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
18.0field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression.Prevention science : the official journal of the Society for Prevention Research · 2026
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  17. Depression and associated factors in Brazilian women according to Vigitel, 2023.Revista da Associacao Medica Brasileira (1992) · 2026
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3 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Zhaoping WuDepartment of Neurology, Zhuzhou Central Hospital, Zhuzhou, Hunan, China.
Qiang YueDepartment of Neurology, First People's Hospital of Changde City, Changde, Hunan, China.
Zhen ZhaoDepartment of Neurology, Zhuzhou Central Hospital, Zhuzhou, Hunan, China.
Jun WenDepartment of Neurology, First People's Hospital of Changde City, Changde, Hunan, China.
Lanying TangDepartment of Neurology, Zhuzhou Central Hospital, Zhuzhou, Hunan, China.
Zhenzhen ZhongDepartment of Neurology, First People's Hospital of Changde City, Changde, Hunan, China.
Jiahui YangDepartment of Neurology, Zhuzhou Central Hospital, Zhuzhou, Hunan, China.
Yingpu YuanDepartment of Critical Care Medicine, First People's Hospital of Changde City, Changde, Hunan, China.
Xiaobo ZhangDepartment of Neurology, First People's Hospital of Changde City, Changde, Hunan, China.
The First People's Hospital of Changde · CNZhuzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between smoking and depression remains controversial. This study aimed to investigate the association between smoking and depression from three aspects: smoking status, smoking volume, and smoking cessation. Methods: Data from adults aged ≥20 who participated in the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018 were collected. The study gathered information about the participants' smoking status (never smokers, previous smokers, occasional smokers, daily smokers), smoking quantity per day, and smoking cessation. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9), with a score ≥10 indicating the presence of clinically relevant symptoms. Multivariable logistic regression was conducted to evaluate the association of smoking status, daily smoking volume, and smoking cessation duration with depression. Results: Previous smokers [odds ratio (OR) = 1.25, 95% confidence interval (CI): 1.05-1.48] and occasional smokers (OR = 1.84, 95% CI: 1.39-2.45) were associated with a higher risk of depression compared with never smokers. Daily smokers had the highest risk of depression (OR = 2.37, 95% CI: 2.05-2.75). In addition, a tendency toward a positive correlation was observed between daily smoking volume and depression (OR = 1.65, 95% CI: 1.24-2.19) ( Conclusions: Smoking is a behavior that increases the risk of depression. The higher the smoking frequency and smoking volume, the higher the risk of depression, whereas smoking cessation is associated with decreased risk of depression, and the longer the smoking cessation duration, the lower the risk of depression.

Indexed as

DepressionSmoking CessationAdultCross-Sectional StudiesHumansNutrition SurveysSmokingdepressionNHANESPHQ-9smokingsmoking cessation

Identifiers

PMID36794066
PMCPMC9922891
OpenAlexW4318466548

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.