Slimming down calcium use are significantly associated with the a reduced coronary arrest possibilities about years- and you will sex-modified model
During 32,024 person-years of follow-up among the 6411 participants (mean age 56 years and 48.2% men), 179 cases (117 men) of incident stroke were identified. According to the quartile of dietary calcium, magnesium, and phosphorus intake, the baseline characteristics of the participants were shown in Table 1. After the normality test, we found that some variables do not satisfy the normal distribution (SFA, PUFA). We used the non-parametric test to examine differences and trends between groups, the t-test for the continuous variables with normal distribution, and the chi-square test for the classified variables. Participants with sugarbook a higher intake of these minerals had higher levels of education and individual incomes. Higher proportions were observed in participants with high calcium intakes than those with lower calcium intakes of smoking and alcohol consumption (39.4% vs. 29.3%; 42.3 vs. 24.2%, respectively). Besides, they tended to be more physically active and consumed more cereal fiber and cholesterol. Subjects with a higher magnesium and phosphorus consumption confirmed nearly comparable traits to individuals with a higher calcium intake. Based on Spearman correlations, calcium intake was strongly positively associated with magnesium intake (r = 0.64, P < 0.001) and phosphorus intake (r = 0.65, P < 0.001). Intakes of magnesium and phosphorus were also highly associated (r = 0.85, P < 0.001). After additional adjustment for sociodemographic and lifestyle factors (Model 2), this association was slightly strengthened with an HR of 0.59 (95% CI 0.37–0.94, P to own pattern = 0.02) comparing the lowest quartile with the highest quartile. Further adjustment for potential dietary risk (Model 3) still adhered to this association: the multivariate relative risk in the highest, as opposed to the lowest quartile of calcium consumption, was 0.53 (95% CI 0.29–0.96, P to possess trend = 0.03).
Zero tall association are discover between fat loss magnesium consumption and you will stroke risk in most three designs. Completely-model improvement, the fresh multivariable Hour according to evaluating the greatest and you may low quartile out of weight-loss magnesium consumption turned into 0.97 (95% CI 0.51–1.85, P to own pattern = 0.90). Furthermore, phosphorus consumption were not significantly from the stroke risk (HR: 0.ninety five, 95% CI 0.41–2.03, P having trend = 0.82) utilizing the exact same variations.
But not, the new association ranging from calcium use and you may heart attack exposure became substantially changed from the intercourse (P
Table 3 shows stratified analyses of relative risks of stroke in line with quartiles of dietary calcium consumption. The inverse association of calcium intake with stroke development was mostly unchanged among participants with various risk profiles characterized by smoking, drinking, BMI, and hypertension status (all P getting communications > 0.10). having communications = 0.03). The multivariate-adjusted HR of stroke for the highest vs. the lowest quintile of calcium intake was 0.33 (95% CI 0.15–0.76, P having pattern = 0.02) among man and 1.24 (95% CI 0.46–3.35, P to own pattern = 0.89) among women. Likewise, we also observed a statistically significant interaction between dietary calcium consumption and age in relation to the danger of stroke (P getting communication = 0.06), the inverse association for calcium consumption seemed more potent for participants who were more youthful than 60 years, compared with those 60 years and older.
Three sensitivity analyses were conducted to assess the potential mediational factors and the robustness of the associations. When we repeated the analyses after excluding patients with hypertension at baseline, the direction and the association did not substantially change, with the HR of stroke for the highest quintile of calcium intake versus the lowest being 0.44 (95% CI 0.29–0.97, P to possess pattern = 0.04) (see Supplementary Table S1 online). Besides, when we used the non-adjusted person time, the results remained the same (HR: 0.53, 95% CI 0.29–0.97, P for trend = 0.03) (see Supplementary Table S2 online). Finally, conducting dyslipidemia (HR: 0.53, 95% CI 0.29–96, P for trend = 0.03) further adjustment did not materially change the association (see Supplementary Table S3 online).