Underreporting of past-year cannabis use on a national survey by people who smoke blunts
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Le, Austin
[1
,2
]
Han, Benjamin H.
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New York Univ Grossman Sch Med, Dept Populat Hlth, 180 Madison Ave,Room 1752, New York, NY 10016 USA
Univ Calif San Diego, Dept Med, Div Geriatr & Gerontol, San Diego, CA 92103 USANew York Univ Grossman Sch Med, Dept Populat Hlth, 180 Madison Ave,Room 1752, New York, NY 10016 USA
Han, Benjamin H.
[1
,3
]
Palamar, Joseph J.
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New York Univ Grossman Sch Med, Dept Populat Hlth, 180 Madison Ave,Room 1752, New York, NY 10016 USANew York Univ Grossman Sch Med, Dept Populat Hlth, 180 Madison Ave,Room 1752, New York, NY 10016 USA
Palamar, Joseph J.
[1
]
机构:
[1] New York Univ Grossman Sch Med, Dept Populat Hlth, 180 Madison Ave,Room 1752, New York, NY 10016 USA
[2] New York Univ Coll Dent, New York, NY USA
[3] Univ Calif San Diego, Dept Med, Div Geriatr & Gerontol, San Diego, CA 92103 USA
Background: Accurate prevalence estimates are critical to epidemiological research but discordant responses on self-report surveys can lead to over- or underestimation of drug use. We sought to examine the extent and nature of underreported cannabis use (among those later reporting blunt use) from a national drug survey in the US. Methods: We used data from the 2015-2019 National Survey on Drug Use and Health (N = 281,650), a nationally representative probability sample of non-institutionalized populations in the US. We compared self-reported prevalence of past-year cannabis use and blunt use and delineated correlates of underreporting cannabis use, defined as reporting blunt use but not overall cannabis use. Results: An estimated 4.8% (95% CI: 4.4-5.2) of people reported blunt use but not cannabis use. Although corrected prevalence, cannabis use recoded as use only increased from 15.2% (95% CI: 15.0-15.4) to 15.5% (95% CI: 15.3-15.7), individuals who are aged >= 50 (aOR = 1.81, 95% CI: 1.06-3.08), female (aOR = 1.35, 95% CI: 1.12-1.62), Non-Hispanic Black (aOR = 1.43, 95% CI: 1.16-1.76), or report lower English proficiency (aOR = 3.32, 95% CI: 1.40-7.83) are at increased odds for providing such a discordant response. Individuals with a college degree (aOR = 0.57, 95% CI: 0.39-0.84) and those reporting past-year use of tobacco (aOR = 0.75, 95% CI: 0.62-0.91), alcohol (aOR = 0.42, 95% CI: 0.33-0.54), cocaine (aOR = 0.50, 95% CI: 0.34-0.73), or LSD (aOR = 0.52, 95% CI: 0.31-0.87) were at lower odds of providing a discordant response. Conclusion: Although changes in prevalence are small when correcting for discordant responses, results provide insight into subgroups that may be more likely to underreport use on surveys.