Aims: To measure effects between educational attainment and alcohol use as a driver of unequal alcohol-attributable mortality.

Design: Nation-wide cohort study using a longitudinal design, linking data from the 1997-2018 National Health Interview Survey to mortality data of the National Death Index in 2019. The study has an average follow-up time of 10.7 years (SD = 6.4).

Setting: United States.

Participants: Nationally representative sample of adults aged 25 years and older.

Measurements: The outcome was time to 100% alcohol-attributable mortality, censored or last presumed alive by 31 December 2019. Socioeconomic status was operationalized via educational attainment; alcohol use was self-reported and operationalized using a categorical measure with lifetime abstainers as reference category.

Findings: Of a total of 562 632 adults, 901 (635 men and 266 women) died during follow-up from a 100% alcohol-attributable cause of death [15 per 100 000 person years (PY)]. We found a strong interaction effect between low education and Category III alcohol use (>60 g and >40 g per day for men and women, respectively), which was of additive nature as shown by the Aalen's additive hazards model, with 83.68 additional deaths per 100 000 PY (95% confidence interval = 16.48-150.87) found in individuals with low education with Category III drinking compared with a situation when there was no interaction between the two risk factors. A large and statistically significant relative excess risk due to interaction (RERI) of 32.05 from the Cox model supported the interaction. For individuals with low education, the risk associated with Category III drinking was double that for those with high education.

Conclusions: In the United States, people with combined low education and high alcohol consumption (>60 g/day for men, >40 g/day for women) appear to have a higher risk of 100% alcohol-attributable mortality compared with other combinations of educational attainment and drinking.

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Source
http://dx.doi.org/10.1111/add.16774DOI Listing

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