Evidence map›Paper›PMID 36447457›Full record

ArticleTobacco induced diseases2022

Association between electronic cigarette use and depression among Thai adolescents: The Thailand National Health Examination Survey 2019-2020.

Roengrudee Patanavanich, Patriya Vityananan, Nareemarn Neelapaichit, Suwat Chariyalertsak, Pattapong Kessomboon, Sawitri Assanangkornchai, Surasak Taneepanichskul, Wichai Aekplakorn

Open access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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, 1 synthesis or guideline pooled it, 17 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

8 authors at 5 institutions in 1 country.

Roengrudee PatanavanichDepartment of Community Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Patriya VityanananDepartment of Community Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Nareemarn NeelapaichitRamathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Suwat ChariyalertsakFaculty of Public Health, Chiang Mai University, Chiang Mai, Thailand.
Pattapong KessomboonFaculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Sawitri AssanangkornchaiDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Surasak TaneepanichskulCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Wichai AekplakornDepartment of Community Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Mahidol University · THChiang Mai University · THChulalongkorn University · THKhon Kaen University · THPrince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDepression and e-cigarette use among adolescents are two health burdens. However, the association between these dual problems have been less studied, especially in low- and middle-income countries. This study examined the association between depression and e-cigarette use among adolescents in Thailand.

methodsThis cross-sectional study used the sub-sample of the sixth Thai National Health Examination Survey conducted between 2019 and 2020. A total of 4237 adolescents aged 10-19 years were included. Self-reported depression was captured using the 20-item Centre for Epidemiologic Studies Depression Scale (CES-D). We applied a complex survey multiple logistic regression to assess whether e-cigarette use was associated with depression.

resultsThe mean age of the participants was 14.6 years, 5.3% were ever e-cigarette users, and 2.9% were current e-cigarette users. 37.8% of the participants were categorized at risk for depression. Among e-cigarette users, 51.6% of ever e-cigarette users and 52.9% of current e-cigarette users were at risk for depression. Multiple logistic regression revealed that ever e-cigarette users were at higher risk for depression (AOR=1.66; 95% CI: 1.02-2.71; p=0.042) than never e-cigarette users. Current e-cigarette was not associated with a higher risk for depression (AOR=1.37; 95% CI: 0.77-2.45; p=0.263).

conclusionsE-cigarette use and depression among adolescents are global public health concerns. There is also a need for effective screening, prevention, and intervention to reduce adverse outcomes of e-cigarette use and depression. In addition, the government should strengthen current policies and close legal loopholes to prevent the tobacco industry tactics and keep e-cigarettes away from adolescents.

Indexed as

adolescentdepressione-cigaretteThailand

Identifiers

PMID36447457
PMCPMC9673242
OpenAlexW4309465436

What OpenQuestion 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 OpenQuestion graph.