Relative volume shipping out of (a) SBP changes, (Gaussian complement Roentgen dos getting sodium sensitive = 0.74 and you may sodium resistant = 0.97) and you may (b) urinary Na + /K + , (Gaussian match R dos having sodium sensitive and painful = 0.99 and you may salt resistant some body = 0.99) from the number of sodium delicate (n = 71) and you will sodium resistant (n = 119) individuals with changes of weightloss input out of Fat loss Ways to Prevent Blood circulation pressure (DASH) high salt (HS) diet to Dashboard reduced sodium (LS) diet.
Participant demographics
Certainly research people reviewed, 53% out of SR and you may 62% of one’s SS members was https://datingranking.net/pl/jeevansathi-recenzja/ in fact girls, 51% from SR and you will 63% out-of SS users have been African-American (Dining table step one). More members was basically aged 31–55 decades, college-educated, and you may working full time. There are zero significant differences in baseline characteristics to possess research participants all over ethnicity otherwise sex in a choice of the latest SS otherwise SR organizations (Desk 1).
Baseline SBP, assessed during the screening visit prior to dietary intervention was significantly higher in SS (137.6 ± 8.7 mmHg) vs. SR participants (132.5 ± 9.6 mmHg; p < 0.05, Table 2). In contrast there was no significant difference in 24 h urinary Na + excretion, 24 h urinary K + excretion and the urinary Na + :K + ratio between SS and SR participants at screening (Table 2). Further, there was no significant effect of sex or ethnicity on these variables, as such subsequent analyses were not adjusted for age or ethnicity. In SS, but not SR participants, each additional g/day in urinary Na + excretion across the range of <2 g/day to 5 g/day resulted in a higher SBP value of approximately 1.0 ± 0.4 mmHg in SBP/g Na + excretion (Fig. 2a). The measures >5 g/day Na+ were not included due to increased sample variability. When assessed by linear regression across the entire range of observed Na + excretion we observed no correlation between urinary Na + excretion and SBP in either SS (R 2 = 0.02) or SR (R 2 = 0.02) participants (Fig. 2b). In both SS and SR participants urinary K + excretion of <1 g/day elevated SBP by 3.9 and 4.8 mmHg respectively vs. SBP values obtained for urinary excretion of 1–1.99gK + /day (Fig. 3a) and the Cohen’s D score for the difference in the SBP among the participants with less than 1 g/day versus 1-1.9 g/day of urinary K + excretion showed a medium effect size in both SS (0.45) and the SR (0.49) group. However, when assessed across the entire range of observed K + excretion we observed no correlation between K + excretion and SBP in either SS (R 2 = 0.001) or SR (R 2 = 0.008) participants (Fig. 3b). Further, we observed no association between the urinary Na + :K + ratio and SBP and no impact of urinary K + excretion across any dietary Na + excretion range on SBP in either SS (R 2 = 0.004) or SR (R 2 = 0.002) participants (Fig. 4a, b).
Feeling away from Dash diet plan to the organization regarding urinary sodium to help you potassium removal ratio having SBP
Within the sub group of SS participants randomly assigned to DASH-Sodium dietary intervention arm (N = 71) there was a significant (p < 0.05) reduction in SBP on the DASH-LS diet compared to the baseline screening SBP value (Table 3). In the sub group of SR participants randomly assigned to the DASH-Sodium intervention (N = 119) there were significant (p < 0.05) reductions in SBP on both the DASH-HS and DASH-LS diets compared to the baseline screening SBP value (Table 3). On the DASH-Sodium diet, following both the LS and HS interventions compared to screening there was a significant (p < 0.05) increase in urinary K + excretion and reduction in the urinary Na + :K + ratio (that was greater during the LS intervention), in both SS and SR participants (Table 3).