Observational studyMedicine2020
Implications of electronic cigarette use for depressive mood: A nationwide cross-sectional study.
Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Exploring the association between anhedonia and nicotine dependence: A study among female undergraduate students in Saudi Arabia.Tobacco induced diseases · 2025Article
- Psychoactive Comfort Products or Snacks: How Chinese Young Adults Perceive the Potentially Addictive Nature of E-Cigarettes.Healthcare (Basel, Switzerland) · 2023Article
- Passive exposure to e-cigarette emissions is associated with worsened mental health.BMC public health · 2022Article
- Korean college students' attitudes toward a tobacco-free campus: a cross-sectional descriptive study.Child health nursing research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the controversy surrounding electronic cigarette (e-cigarette) safety, global consumption has been rapidly increasing. We investigated the relationship between e-cigarette use and mental health conditions in adults of various ages.We conducted a secondary data analysis of adults aged 19 to 80 who participated in the first year of the 7th Korea National Health and Nutrition Examination Survey (2016). The total number of participants was 5469, including 3398 non-smokers, 1700 smokers who had never used e-cigarettes, and 371 smokers who had previously used e-cigarettes, selected based on self-report questionnaires. Mental health factors including stress status, depressive mood, suicide plan, and suicide attempt were assessed by self-reported questionnaire. The Patient Health Questionnaire (PHQ-9) was used to assess depressive mood, with a cut-off value of 10. The relationship between e-cigarette use and stress status with depressive mood were analyzed with adjustment for potential confounders.Both male and female smokers who previously used e-cigarettes showed higher levels of stress than non-smokers or smokers who had never used e-cigarettes. The average PHQ-9 score was higher among previous e-cigarette-using smokers relative to non-smokers and smokers who had never used e-cigarettes, regardless of gender. The number of participants with depressive mood was significantly higher in the group of smokers who previously used e-cigarettes. In multivariable-adjusted logistic regression analyses, there was a significantly higher odds ratio for higher stress in male smokers who had previously used e-cigarettes and for depressive mood in female smokers who had previously used e-cigarettes, compared with non-smokers.This study analyzed the association between adult e-cigarette use and mental health conditions, including stress and depressive mood, and showed that e-cigarette use was significantly related to both conditions in men and women.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.