BACKGROUND & AIMS: Biological age (BA) is the hypothetical underlying age of an organism and has been proposed as a more powerful predictor of health than chronological age (CA). The difference between BA and CA (Deltaage) reflects the rate of biological aging, with lower values indicating slowed-down aging. We sought to compare the relationship of four a priori-defined dietary patterns, including a traditional Mediterranean diet (MD) and three non-Mediterranean diets, with biological aging (Deltaage) among Italian adults. We also examined distinctive nutritional traits of these diets as potential mediators of such associations.
METHODS: Cross-sectional analysis on a sub-cohort of 4510 subjects (aged >/=35 y; 52.0% women) from the Moli-sani Study (enrolment, 2005-2010). Food intake was recorded by a 188-item semi-quantitative food-frequency questionnaire. A Mediterranean diet score (MDS) was used as exposure and compared with non-Mediterranean dietary patterns, i.e. DASH (Dietary Approaches to Stop Hypertension), Palaeolithic and the Nordic diets. A Deep Neural Network based on 36 blood biomarkers was used to compute BA and the resulting Deltaage (BA-CA), which was tested as outcome in multivariable linear regressions adjusted for clinical factors, lifestyles and sociodemographic factors.
RESULTS: In a multivariable-adjusted model, 1 standard deviation increase in the MDS was inversely associated with Deltaage (beta = -0.23; 95%CI -0.40, -0.07), and similar findings were observed with the DASH diet (beta = -0.17; 95%CI -0.33, -0.01). High dietary polyphenol content explained 29.8% (p = 0.04) and 65.8% (p = 0.02) of these associations, respectively, while other nutritional factors analysed (e.g. dietary fibre) were unlikely to be on the pathway. No significant associations were found with either the Palaeolithic or the Nordic diets.
CONCLUSIONS: Increasing adherence to either the traditional MD or the DASH diet was associated with delayed biological aging, possibly through their high polyphenol content.
Data are conflicting about the effects of alcohol intake on kidney function. This population-based study investigated associations of alcohol intake with kidney function and mortality. The study cohort included adult participants in Exam-1, Exam-2 (6-year follow-up), and Exam-3 (20-year follow-up) of the Gubbio study.
Kidney function was evaluated as estimated glomerular filtration rate (eGFR, CKD-Epi equation, mL/min x 1.73 m(2)). Daily habitual alcohol intake was assessed by questionnaires. Wine intake accounted for >94% of total alcohol intake at all exams. Alcohol intake significantly tracked over time (R > 0.66, p < 0.001). Alcohol intake distribution was skewed at all exams (skewness > 2) and was divided into four strata for analyses (g/day = 0, 1-24, 25-48, and >48). Strata of alcohol intake differed substantially for lab markers of alcohol intake (p < 0.001).
In multivariable regression, strata of alcohol intake related cross-sectionally to eGFR at all exams (Exam-1: B = 1.70, p < 0.001; Exam-2: B = 1.03, p < 0.001; Exam-3: B = 0.55, p = 0.010) and related longitudinally to less negative eGFR change from Exam-1 to Exam-2 (B = 0.133, p = 0.002) and from Exam-2 to Exam-3 (B = 0.065, p = 0.004). In multivariable Cox models, compared to no intake, intakes > 24 g/day were not associated with different mortality while an intake of 1-24 g/day was associated with lower mortality in the whole cohort (HR = 0.77, p = 0.003) and in the subgroup with eGFR < 60 mL/min x 1.73 m(2) (HR = 0.69, p = 0.033). These data indicate a positive independent association of alcohol intake with kidney function not due to a mortality-related selection.
Based on a prospective cohort study of adults from southwest China with heterogeneity in their demographical characteristics and lifestyles, we aimed to explore the association between drinking patterns and incident hypertension under the interaction of these confounding factors. The Cox proportional hazard model was used to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI).
Subgroup analysis was performed according to sex, ethnicity, area, occupation, smoking, and exercise to compare the differences in the association between drinking patterns and the incidence of hypertension. Blood pressure was higher in participants with a high drinking frequency than those with a low drinking frequency (p < 0.001). We found that total drinking frequency, liquor drinking frequency, rice wine drinking frequency, and alcohol consumption were significantly associated with an increased risk of hypertension.
Compared with the non-drinking group, a heavy drinking pattern was positively correlated with hypertension. Drinking can increase the risk of hypertension, especially heavy drinking patterns, with a high frequency of alcohol intake and high alcohol consumption. From the analysis results of the longitudinal data, drinking alcohol is still an important risk factor for hypertension among Chinese subjects, especially for men, the rural population, the employed, the Han nationality, smokers, and certain exercise populations.