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Brain & Heart                                                    Wine intake and 45-year mortality in rural men




            Table 3. Age at death as a function of 3 classes of physical   mortality curves for total and CVD remained J-shaped. In
            activity combined with six classes of alcohol intake. Data   fact, the relationship between alcohol (wine) intake showed
            estimated from the multiple linear regression given in Table 2  a J-shaped pattern for both all-cause and CVD mortality,
                                                               while it was direct and positive for liver cirrhosis and cancer
            Physical activity class  Alcohol intake class
                               0   1    2    3    4    5       (although with some uncertainties in the latter case).
                                     Age at death (years)        The curvilinear relationship with age at death was even
            1 (sedentary)     70.2  72.1  73.7  71.6  71.7  69.8  more relevant because the piece of analysis on all-cause
            2 (moderate)      72.0  74.0  75.5  73.4  73.5  71.7  death could have been biased by the fact that the study
                                                               cohort was almost extinct. On the other hand, the age at
            3 (vigorous)      73.8  75.8  77.3  75.2  75.4  73.5
                                                               death  of  the  reference  class  was  3.5  years  higher  versus
                                                               abstainers and 3.8  years higher versus men in Class  5.
            Table 4. Models estimating all‑cause mortality between   All of this was adjusted for the covariates. It is of interest
            year 20 and year 45 of follow‑up and age at the death after   that the abstainer class carried the highest comorbidity
            45 years of follow‑up as a function of alcohol intake at year   index across the six classes of alcohol consumption, partly
            zero and changes in alcohol intake between year zero and   explaining their excess mortality.
            year 20 of follow‑up
                                                                 A peculiar relationship was identified between alcohol
            Models and parameters  Coefficient  t value  P value  consumption and physical activity because the three classes
            Cox model                                          of physical activity had an increasing intake of alcohol,
             Alcohol intake: Year 0  −0.0020  −1.34  0.1799    from sedentary to moderate to vigorous physical activities.
             Changes in alcohol intake   −0.0027  −2.24  0.0250  The consequence of this association was that everything
             between year 0 and year 20                        else being equal, larger alcohol intake among very active
            MLR model                                          men was still associated with a good outcome.
             Alcohol intake: year 0  0.0139   1.70   0.0893      Changes in alcohol intake played a role in all-cause
             Changes in alcohol intake   0.0177  2.60  0.0098  mortality and age at death starting from the 20-year mark of
             between year 0 and year 20                        follow-up when another examination allowed for updates
            Notes: Estimates are adjusted for entry levels of age, Mediterranean   in alcohol consumption. At that point, the entry-level of
            adequacy dietary index, physical activity, and cigarette consumption.   alcohol intake was no longer significant, while a significant
            Denominator=430. For the Cox model, end-point: all-cause mortality   decrease over  the  previous  20  years was  associated with
            between years 20 and 45 of follow-up. For the multiple linear regression
            (MLR) model, the end-point is age at death after 45 years of follow-up.  lower all-cause mortality and higher age at death.
                                                                 Early literature on the issue 1-10  consistently showed a
              In fact, 97.7% of subjects were drinkers, and this is   J-shaped relationship between alcohol intake, CVD, and
            probably a unique case. Moreover, wine consumption in   all-cause mortality. More recent meta-analyses and review
            the study population was very high, probably among the   articles 11-17  produced similar findings but added several
            highest ever recorded in other studies, although precise   exceptions and doubts. In particular, according to a review
            comparisons were difficult since we expressed the intake   article,  low  alcohol  consumption  may  be  beneficial  to
            in g/day of alcohol (and using our specific consumption   prevent CHD but not other fatal conditions.  In a meta-
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            classes) while consumption is frequently expressed as   analysis, alcohol intake of <30 g/day was protective of CHD
            drinks per day. Approximately 70% of the population   mortality, but episodic heavy drinking carried a risk similar
            could be classified as heavy drinkers. The comparison   to that of the abstainers.  Moreover, the use of abstainers
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            of the various classes of alcohol intake with that of the   as reference groups seems to introduce a large bias.
            nondrinkers was not promising, and therefore, we used   In a large meta-analysis, a curvilinear relationship was
            Class 2 as a reference (about 52 g of alcohol/day), but due   identified between drinking and mortality risk, but there
            to the small numbers involved, the differences versus the   were uncertainties in interpretations due to large differences
            reference class were not always statistically significant.
                                                               in the methods used to measure the exposure.  Another
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              We were uncertain whether the few abstainers refrained   meta-analysis did not show any benefit for moderate
            from alcoholic beverages due to personal preference,   drinking for all and some specific mortality causes.  In a
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            experienced unpleasant reactions when drinking, or   recent meta-analysis, it was found that after adjustment for
            had stopped  drinking  due to illness  or medical  advice.   the role of abstainers and for the quality of the studies, low
            However, their small number likely had minimal impact   levels of alcohol intake did not provide benefits for all-cause
            on our analysis. Even when excluding these abstainers, the   mortality.  Finally, a meta-analysis involving only studies
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            Volume 2 Issue 3 (2024)                         5                                doi: 10.36922/bh.3016
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