Past-Year Mental Illness Diagnosis and E-cigarette Use Status Among a College-Aged Sample : Findings From the National College Health Assessment (2017-2019)
PURPOSE: To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status.
DESIGN: Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students.
SETTING: Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019.
SUBJECTS: The analytic sample included 277 291 university students.
MEASURES: Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user).
ANALYSIS: Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use.
RESULTS: Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use.
CONCLUSION: Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:38 |
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| Enthalten in: |
American journal of health promotion : AJHP - 38(2024), 4 vom: 29. Apr., Seite 468-477 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Do, Elizabeth K [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 01.04.2024 Date Revised 01.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1177/08901171231224864 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM366373978 |
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| 500 | |a Date Revised 01.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a PURPOSE: To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status | ||
| 520 | |a DESIGN: Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students | ||
| 520 | |a SETTING: Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019 | ||
| 520 | |a SUBJECTS: The analytic sample included 277 291 university students | ||
| 520 | |a MEASURES: Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user) | ||
| 520 | |a ANALYSIS: Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use | ||
| 520 | |a RESULTS: Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use | ||
| 520 | |a CONCLUSION: Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students | ||
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| 700 | 1 | |a Hair, Elizabeth C |e verfasserin |4 aut | |
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