AIMS: To estimate age-period-cohort models predicting alcohol volume, heavy drinking and beverage-specific alcohol volume in order to evaluate whether the 1976-1985 birth cohorts drink relatively heavily. DESIGN: Data from seven cross-sectional surveys of the USA conducted between 1979 and 2010 were utilized in negative binomial generalized linear models of age, period and cohort effects predicting alcohol measures. SETTING: General population surveys of the USA. PARTICIPANTS: Thirty-six thousand four hundred and thirty-two US adults (aged 18 years or older). MEASUREMENTS: Monthly number of alcohol drinks, beer, wine and spirits drinks, and days drinking five or more drinks in the past year derived from beverage-specific graduated frequency questions. FINDINGS: Relative to the reference 1956-60 birth cohort, men in the 1976-1980 cohort for were found to consume more alcohol [incidence rate ratio (IRR) = 1.222: confidence interval (CI) 1.07-1.39) and to have more 5+ days (the number of days having five or more drinks) (IRR = 1.365: CI 1.09-1.71) as were men in the 1980-85 cohort for volume (IRR = 1.284: CI 1.10-1.50) and 5+ days (IRR = 1.437: CI 1.09-1.89). For women, those in the 1980-85 cohort were found to have higher alcohol volume (IRR = 1.299: CI 1.07-1.58) and more 5+ days (IRR = 1.547: CI 1.01-2.36). Beverage-specific models found different age patterns of volume by beverage with a flat age pattern for both genders' spirits and women's wine, an increasing age pattern for men's wine and a declining age pattern from those in their early 20s for beer. CONCLUSIONS: In the USA, men born between 1976 and 1985, and women born between 1981 and 1985 have higher alcohol consumption than in earlier or later years.
AIMS: To estimate age-period-cohort models predicting alcohol volume, heavy drinking and beverage-specific alcohol volume in order to evaluate whether the 1976-1985 birth cohorts drink relatively heavily. DESIGN: Data from seven cross-sectional surveys of the USA conducted between 1979 and 2010 were utilized in negative binomial generalized linear models of age, period and cohort effects predicting alcohol measures. SETTING: General population surveys of the USA. PARTICIPANTS: Thirty-six thousand four hundred and thirty-two US adults (aged 18 years or older). MEASUREMENTS: Monthly number of alcohol drinks, beer, wine and spirits drinks, and days drinking five or more drinks in the past year derived from beverage-specific graduated frequency questions. FINDINGS: Relative to the reference 1956-60 birth cohort, men in the 1976-1980 cohort for were found to consume more alcohol [incidence rate ratio (IRR) = 1.222: confidence interval (CI) 1.07-1.39) and to have more 5+ days (the number of days having five or more drinks) (IRR = 1.365: CI 1.09-1.71) as were men in the 1980-85 cohort for volume (IRR = 1.284: CI 1.10-1.50) and 5+ days (IRR = 1.437: CI 1.09-1.89). For women, those in the 1980-85 cohort were found to have higher alcohol volume (IRR = 1.299: CI 1.07-1.58) and more 5+ days (IRR = 1.547: CI 1.01-2.36). Beverage-specific models found different age patterns of volume by beverage with a flat age pattern for both genders' spirits and women's wine, an increasing age pattern for men's wine and a declining age pattern from those in their early 20s for beer. CONCLUSIONS: In the USA, men born between 1976 and 1985, and women born between 1981 and 1985 have higher alcohol consumption than in earlier or later years.
Authors: Jürgen Rehm; Dolly Baliunas; Guilherme L G Borges; Kathryn Graham; Hyacinth Irving; Tara Kehoe; Charles D Parry; Jayadeep Patra; Svetlana Popova; Vladimir Poznyak; Michael Roerecke; Robin Room; Andriy V Samokhvalov; Benjamin Taylor Journal: Addiction Date: 2010-03-15 Impact factor: 6.526
Authors: Joy Bohyun Jang; Megan E Patrick; Katherine M Keyes; Ava D Hamilton; John E Schulenberg Journal: Pediatrics Date: 2017-06 Impact factor: 7.124