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- Di Castelnuovo, Augusto, et al.
(author)
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Alcohol intake and total mortality in 142 960 individuals from the MORGAM Project: a population-based study
- 2022
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In: Addiction. - : John Wiley & Sons. - 0965-2140 .- 1360-0443. ; 117:2, s. 312-325
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Journal article (peer-reviewed)abstract
- Aim: To test the association of alcohol consumption with total and cause-specific mortality risk. Design: Prospective observational multi-centre population-based study.Setting: Sixteen cohorts (15 from Europe) in the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) Project.Participants: A total of 142 960 individuals (mean age 50 ± 13 years, 53.9% men).Measurements: Average alcohol intake by food frequency questionnaire, total and cause-specific mortality.Findings: In comparison with life-time abstainers, consumption of alcohol less than 10 g/day was associated with an average 11% [95% confidence interval (CI) = 7–14%] reduction in the risk of total mortality, while intake > 20 g/day was associated with a 13% (95% CI = 7–20%) increase in the risk of total mortality. Comparable findings were observed for cardiovascular (CV) deaths. With regard to cancer, drinking up to 10 g/day was not associated with either mortality risk reduction or increase, while alcohol intake > 20 g/day was associated with a 22% (95% CI = 10–35%) increased risk of mortality. The association of alcohol with fatal outcomes was similar in men and women, differed somewhat between countries and was more apparent in individuals preferring wine, suggesting that benefits may not be due to ethanol but other ingredients. Mediation analysis showed that high-density lipoprotein cholesterol explained 2.9 and 18.7% of the association between low alcohol intake and total as well as CV mortality, respectively.Conclusions: In comparison with life-time abstainers, consuming less than one drink per day (nadir at 5 g/day) was associated with a reduced risk of total, cardiovascular and other causes mortality, except cancer. Intake of more than two drinks per day was associated with an increased risk of total, cardiovascular and especially cancer mortality.
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| 2. |
- Rosberg, Victoria, et al.
(author)
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Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures : The MORGAM prospective cohort project
- 2022
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In: Preventive Medicine Reports. - : Elsevier. - 2211-3355. ; 26
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Journal article (peer-reviewed)abstract
- To assess whether anthropometric measures (body mass index [BMI], waist-hip ratio [WHR], and estimated fat mass [EFM]) are independently associated with major adverse cardiovascular events (MACE), and to assess their added prognostic value compared with serum total-cholesterol. The study population comprised 109,509 individuals (53% men) from the MORGAM-Project, aged 19–97 years, without established cardiovascular disease, and not on antihypertensive treatment. While BMI was reported in all, WHR and EFM were reported in ∼52,000 participants. Prognostic importance of anthropometric measurements and total-cholesterol was evaluated using adjusted Cox proportional-hazards regression, logistic regression, area under the receiver-operating-characteristic curve (AUCROC), and net reclassification improvement (NRI). The primary endpoint was MACE, a composite of stroke, myocardial infarction, or death from coronary heart disease. Age interacted significantly with anthropometric measures and total-cholesterol on MACE (P ≤ 0.003), and therefore age-stratified analyses (<50 versus ≥ 50 years) were performed. BMI, WHR, EFM, and total-cholesterol were independently associated with MACE (P ≤ 0.003) and resulted in significantly positive NRI when added to age, sex, smoking status, and systolic blood pressure. Only total-cholesterol increased discrimination ability (AUCROC difference; P < 0.001). In subjects < 50 years, the prediction model with total-cholesterol was superior to the model including BMI, but not superior to models containing WHR or EFM, while in those ≥ 50 years, the model with total-cholesterol was superior to all models containing anthropometric variables, whether assessed individually or combined. We found a potential role for replacing total-cholesterol with anthropometric measures for MACE-prediction among individuals < 50 years when laboratory measurements are unavailable, but not among those ≥ 50 years.
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