CONTEXT AND OBJECTIVE: Alcohol intakes may vary considerably over a drinker's lifetime. This study was designed to examine whether lifetime drinking trajectories are associated with cardiovascular risk factors that are used to define the metabolic syndrome (MetS). DESIGN, SETTING, PARTICIPANTS, AND OUTCOMES: This is a population-based cross-sectional study. Participants were ever-regular drinkers (n = 2818) selected from healthy controls for the Western New York Health Study (1996-2001) in which lifetime lifestyle was ascertained retrospectively. Prevalence of the MetS and its individual components, including obesity, high triglycerides, low high-density lipoprotein cholesterol, elevated blood pressure, and high fasting glucose, were the main outcomes. RESULTS: Trajectory analyses were based on estimates of total kilograms of ethanol for each age decade between 10 and 59 yr. Two groups of drinkers with distinct lifetime drinking trajectories were obtained, an early peak and a stable trajectory group. Compared with stable trajectory drinkers, early-peak drinkers were 10 yr younger on average, had earlier onset of regular drinking, drank heavily in late adolescence and early adulthood tapering off in middle age, averaged more drinks per drinking day in lifetime, and were more likely to abstain when interviewed. After controlling for age, sex, and other potential confounders, early-peak trajectories were modestly associated with high odds of the MetS [1.31; 95% confidence interval (CI) 1.00, 1.71] overall, low high-density lipoprotein cholesterol (1.62; 95% CI 1.27, 2.08), abdominal obesity (1.48; 95% CI 1.23, 1.78), and overweight (1.32; 95% CI 1.10, 1.60). CONCLUSION: Early initiation of alcohol drinking and heavy drinking in adolescence and early adulthood may be associated with an adverse cardiometabolic profile.
CONTEXT AND OBJECTIVE:Alcohol intakes may vary considerably over a drinker's lifetime. This study was designed to examine whether lifetime drinking trajectories are associated with cardiovascular risk factors that are used to define the metabolic syndrome (MetS). DESIGN, SETTING, PARTICIPANTS, AND OUTCOMES: This is a population-based cross-sectional study. Participants were ever-regular drinkers (n = 2818) selected from healthy controls for the Western New York Health Study (1996-2001) in which lifetime lifestyle was ascertained retrospectively. Prevalence of the MetS and its individual components, including obesity, high triglycerides, low high-density lipoprotein cholesterol, elevated blood pressure, and high fasting glucose, were the main outcomes. RESULTS: Trajectory analyses were based on estimates of total kilograms of ethanol for each age decade between 10 and 59 yr. Two groups of drinkers with distinct lifetime drinking trajectories were obtained, an early peak and a stable trajectory group. Compared with stable trajectory drinkers, early-peak drinkers were 10 yr younger on average, had earlier onset of regular drinking, drank heavily in late adolescence and early adulthood tapering off in middle age, averaged more drinks per drinking day in lifetime, and were more likely to abstain when interviewed. After controlling for age, sex, and other potential confounders, early-peak trajectories were modestly associated with high odds of the MetS [1.31; 95% confidence interval (CI) 1.00, 1.71] overall, low high-density lipoprotein cholesterol (1.62; 95% CI 1.27, 2.08), abdominal obesity (1.48; 95% CI 1.23, 1.78), and overweight (1.32; 95% CI 1.10, 1.60). CONCLUSION: Early initiation of alcohol drinking and heavy drinking in adolescence and early adulthood may be associated with an adverse cardiometabolic profile.
Authors: Hanna-Maaria Lakka; David E Laaksonen; Timo A Lakka; Leo K Niskanen; Esko Kumpusalo; Jaakko Tuomilehto; Jukka T Salonen Journal: JAMA Date: 2002-12-04 Impact factor: 56.272
Authors: Paul J Gruenewald; Marcia Russell; John Light; Rob Lipton; John Searles; Fred Johnson; Maurizio Trevisan; Jo Freudenheim; Paola Muti; Ann Marie Carosella; Thomas H Nochajski Journal: Alcohol Clin Exp Res Date: 2002-06 Impact factor: 3.455
Authors: Saverio Stranges; James Notaro; Jo L Freudenheim; Rachel M Calogero; Paola Muti; Eduardo Farinaro; Marcia Russell; Thomas H Nochajski; Maurizio Trevisan Journal: Addiction Date: 2006-09 Impact factor: 6.526
Authors: Joan M Dorn; Kathleen Hovey; Paola Muti; Jo L Freudenheim; Marcia Russell; Thomas H Nochajski; Maurizio Trevisan Journal: J Nutr Date: 2003-08 Impact factor: 4.798
Authors: Gretchen M Sprow; Jennifer A Rinker; Emily G Lowery-Gointa; Angela M Sparrow; Montserrat Navarro; Todd E Thiele Journal: Addict Biol Date: 2015-05-15 Impact factor: 4.280
Authors: Stacey L Robinson; Isabel M Marrero; Carlos A Perez-Heydrich; Marian T Sepulveda-Orengo; Kathryn J Reissner; Todd E Thiele Journal: Neuropsychopharmacology Date: 2019-01-07 Impact factor: 7.853