Age trends in rates of substance use disorders across ages 18–90: Differences by gender and race/ethnicity
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Background Although research has documented age differences in substance use, less is known about how prevalence of substance use disorders (SUDs) vary across age and differ by gender and race/ethnicity.Methods Time-varying effect models (TVEMs) were estimated on data from the National Epidemiologic Survey of Alcohol and Related Conditions-III (NESARC III; N=36,309), a nationally representative survey of the adult population. The sample was 44% male; 53% White, 21% Black, 19% Hispanic/Latino, 6% other race/ethnicity. Prevalence of four SUDs (alcohol, tobacco, cannabis and opioid use disorders) were flexibly estimated across ages 18-90 by gender and race/ethnicity.Results Estimated SUD prevalences were generally higher for men compared to women at most ages until the 70s. However, disparities by race/ethnicity varied with age, such that for most SUDs, estimated prevalences were higher for White participants at younger ages and Black participants at older ages.Discussion Results suggest relatively constant disparities by gender across age, and a crossover effect for Black and White participants. Findings demonstrate that Black individuals in midlife may be an important target of intervention programs for some substances.
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The prevalence of SUDs is high and varies across countries and the type of drugs used (highest for tobacco and alcohol use disorders) as well as by demographic and socioeconomic characteristics of the populations.
“The prevalence of SUDs is high and varies across countries and the type of drugs used (highest for tobacco and alcohol use disor ders) as well as by demographic and socioeconomic character istics of the populations.”
From Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention (2023) · cites this paper as [1]
The Introduction reports U.S. prevalence of 14% for alcohol use disorder and 13% for tobacco use disorder, higher than the figures it gives for cannabis and opioid use disorders. It also describes variation by age, gender, and race/ethnicity. The paper does not establish variation across countries or by socioeconomic characteristics. (LLM, conf=0.88)
Experimental — accuracy not yet measuredRates of SUDs are higher for males than females and higher for younger people, with rates decreasing as both men and women age.
“The rates of SUDs are higher for males than females and higher for younger people, with rates decreas ing as both men and women age 1 .”
From Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention (2023) · cites this paper as [1]
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- Authors
- Vasilenko, S. A., Evans-Polce, R. J., & Lanza, S. T.
- Affiliations
- Pennsylvania State University (US)
- Corresponding author
- Vasilenko, Sara A.
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 180
- Pages
- 260-264
- ISSN
- 0376-8716 (ISSN-L)
- PMC
- PMC5757874
- OpenAlex
- W2756378480
- Cited by
- 210
- References
- 23
- Citations by year
- 2026: 29 · 2025: 34 · 2024: 41 · 2023: 27 · 2022: 26 · 2021: 20 · 2020: 16 · 2019: 12 · 2018: 4 · 2017: 1
- FWCI
- 7.07
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Drug and Alcohol Dependence (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug AbuseNational Institute on Drug Abuse (NIDA) (R01-DA039854, P50-DA039838, R01 DA037902)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Keywords
- substance use disorders, age differences, gender differences, racial and ethnic disparities, alcoholism, tobacco use disorder, cannabis use disorder, opioid use disorder, prevalence, older adults, midlife, NESARC-III
- MeSH terms
- Adult, Aged, Analgesics, Opioid, Cannabis, Ethnicity, Female, Hispanic or Latino, Humans, Male, Prevalence, Substance-Related Disorders, White People, Racial Groups
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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