Self-Reported Disability Type and Risk of Alcohol-Induced Death - A Longitudinal Study Using Nationally Representative Data.

Alcohol drinking disabled persons epidemiology mortality mortality disparities in American communities study

Journal

Substance use & misuse
ISSN: 1532-2491
Titre abrégé: Subst Use Misuse
Pays: England
ID NLM: 9602153

Informations de publication

Date de publication:
18 Apr 2024
Historique:
medline: 18 4 2024
pubmed: 18 4 2024
entrez: 18 4 2024
Statut: aheadofprint

Résumé

Disability is associated with alcohol misuse and drug overdose death, however, its association with alcohol-induced death remains understudied. To quantify the risk of alcohol-induced death among adults with different types of disabilities in a nationally representative longitudinal sample of US adults. Persons with disabilities were identified among participants ages 18 or older in the Mortality Disparities in American Communities (MDAC) study ( During a maximum of 12 years of follow-up, 4000 alcohol-induced deaths occurred in the study population. In descending order, the following disability types displayed the greatest risk of alcohol-induced death (compared to adults without disability): complex activity limitation (aHR = 1.7; 95% CI = 1.3-2.3), vision limitation (aHR = 1.6; 95% CI = 1.2-2.0), mobility limitation (aHR = 1.4; 95% CI = 1.3-1.7), ≥2 limitations (aHR = 1.4; 95% CI = 1.3-1.6), cognitive limitation (aHR = 1.2; 95% CI = 1.0-1.4), and hearing limitation (aHR = 1.0; 95% CI = 0.9-1.3). The risk of alcohol-induced death varies considerably by disability type. Efforts to prevent alcohol-induced deaths should be tailored to meet the needs of the highest-risk groups, including adults with complex activity (i.e., activities of daily living - "ALDs"), vision, mobility, and ≥2 limitations. Early diagnosis and treatment of alcohol use disorder within these populations, and improved access to educational and occupational opportunities, should be considered as prevention strategies for alcohol-induced deaths.

Sections du résumé

BACKGROUND UNASSIGNED
Disability is associated with alcohol misuse and drug overdose death, however, its association with alcohol-induced death remains understudied.
OBJECTIVE UNASSIGNED
To quantify the risk of alcohol-induced death among adults with different types of disabilities in a nationally representative longitudinal sample of US adults.
METHODS UNASSIGNED
Persons with disabilities were identified among participants ages 18 or older in the Mortality Disparities in American Communities (MDAC) study (
RESULTS UNASSIGNED
During a maximum of 12 years of follow-up, 4000 alcohol-induced deaths occurred in the study population. In descending order, the following disability types displayed the greatest risk of alcohol-induced death (compared to adults without disability): complex activity limitation (aHR = 1.7; 95% CI = 1.3-2.3), vision limitation (aHR = 1.6; 95% CI = 1.2-2.0), mobility limitation (aHR = 1.4; 95% CI = 1.3-1.7), ≥2 limitations (aHR = 1.4; 95% CI = 1.3-1.6), cognitive limitation (aHR = 1.2; 95% CI = 1.0-1.4), and hearing limitation (aHR = 1.0; 95% CI = 0.9-1.3).
CONCLUSIONS UNASSIGNED
The risk of alcohol-induced death varies considerably by disability type. Efforts to prevent alcohol-induced deaths should be tailored to meet the needs of the highest-risk groups, including adults with complex activity (i.e., activities of daily living - "ALDs"), vision, mobility, and ≥2 limitations. Early diagnosis and treatment of alcohol use disorder within these populations, and improved access to educational and occupational opportunities, should be considered as prevention strategies for alcohol-induced deaths.

Identifiants

pubmed: 38635979
doi: 10.1080/10826084.2024.2340993
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Auteurs

Jonathan Aram (J)

Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, USA.

Natalie Slopen (N)

Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, USA.

Candace Cosgrove (C)

Mortality Research Group, Center for Economic Studies, U.S. Census Bureau, USA.

Amelia Arria (A)

Department of Behavioral and Community Health, University of Maryland School of Public Health, USA.

Hongjie Liu (H)

Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, USA.

Cher M Dallal (CM)

Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, USA.

Classifications MeSH