Age trends in rates of substance use disorders across ages 18-90: Differences by gender and race/ethnicity.
paper
Cited
Public
- Authors
- Vasilenko, Sara A; Evans-Polce, Rebecca J; Lanza, Stephanie T
- Year
- 2017
- Journal
- Drug and alcohol dependence
- PMID
- 28938183
- DOI
- 10.1016/j.drugalcdep.2017.08.027
- PMCID
- PMC5757874
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.
Estimated proportion of substance use disorders across ages 18β90, by gender. Thick black lines represent estimate; thin grey lines represent 95% confidence intervals.
Estimated proportion of substance use disorders across ages 18β90, by race/ethnicity. Thick black lines represent estimate; thin grey lines represent 95% confidence intervals.
1β15 of 15
| Name | Type |
|---|---|
| adulthood | cohort |
| African-Americans | cohort |
| alcohol | phenotype |
| Alcohol Use Disorder | phenotype |
| AUD | phenotype |
| Black | phenotype |
| black participants | cohort |
| Black youth | cohort |
| Cannabis/marijuana use disorder local | phenotype |
| cannabis use | phenotype |
| cannabis use disorder | phenotype |
| Chewing tobacco | drug |
| cigarettes | phenotype |
| Cigars | drug |
| CUD | phenotype |
| e-cigarettes | drug |
| heavy drinking | phenotype |
| Hispanic | phenotype |
| Hispanic individuals | cohort |
| Latino adults local | cohort |
| Latino participants local | cohort |
| marijuana | phenotype |
| men | cohort |
| midlife adults local | cohort |
| Midlife adults local | cohort |
| nationally representative sample | cohort |
| NESARC-III | cohort |
| nicotine | drug |
| nicotine use disorder | phenotype |
| older adults | cohort |
| opioid | drug |
| opioid dependence | phenotype |
| OUD | phenotype |
| pipe | drug |
| race/ethnicity | phenotype |
| sex | phenotype |
| Snuff | drug |
| substance use | phenotype |
| SUD | phenotype |
| Tobacco and Nicotine local | drug |
| tobacco dependence | phenotype |
| tobacco use | phenotype |
| TUD | phenotype |
| TVEM local | drug |
| United States | cohort |
| White | phenotype |
| White adolescents | cohort |
| white participants | cohort |
| whites | cohort |
| women | cohort |
| young adults | cohort |
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| Title | Year | PMID |
|---|---|---|
| High Polygenic Risk Scores Are Associated With Early Age of Onset of Alcohol Use Disorder in Adolescents and Young Adults at Risk. | 2022 | 36324664 |
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