Piecewise regression estimates provide no evidence of a time trend between 2000 and 2012 (PRR 1.00, 95% CI 0.99, 1.02; p = 0.99), whereas there was an increasing trend in TB prevalence of DS between 2013 and 2015 (PRR 1.16, 95% CI 1.07, 1.26; p < 0.001) and a decreasing trend between 2016 and 2021 (PRR = 0.94, 95% CI 0.92, 0.97; p < 0.001) ( Fig. 2 , Table 2 ).
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“an increasing trend”
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This demonstrated an increasing trend with increasing SMN2 copy numbers ( F = 33.350, p < 0.001) ( Figure 4B ).
In contrast, the average menstrual cycle length exhibited an increasing trend ( P < 0.001, P -trend < 0.001), while both the average number of menstrual periods per year and the number of ovulatory cycles showed significant decreasing trends ( P < 0.005, P -trend < 0.005), with the Q4 group being significantly lower than the Q1 and Q2 groups.
1 It illustrated a marked difference between age groups ( P = 0.0045) and an increasing trend of prevalence with age (χ 2 test for trend = 23.5; P < 0.001).
Moreover, there has been an increasing trend of 0.002 yr −1 ( P < 0.001) in vegetation cover ( Fig. 2 ).
19%, p < 0.001), and divided by age categories an increasing trend with higher age was observed (Fig. 1 , p < 0.001).
NT-proBNP showed an increasing trend among quartiles (p<0.001).
The family health team coverage had an increasing trend from 2012 onward (APC: 3.3%, 95% CI: 0.6-6.1, P < 0.001).
An increasing trend in rates from 1997 (14.8/100,000) to 2012 (26.9/100,000) was reported ( p < 0.001).
An analysis using the Mann–Kendall Trend Test identified an increasing trend from 6 am to 6 pm ( p -value < 0.001) and a decreasing trend from 6 pm to 6 am ( p -value < 0.001).
After adjustment for age, gender in model I, an increasing trend was also observed in the highest NPAR tertile (HR: 6.16, 95% CI: 4.81–7.9, P < 0.001).
DISCUSSION The average annual age-standardized suicide rate in Chapecó (SC) showed an increasing trend over the study period, which was higher than the national trend (p<0.001).
An increasing trend in family support in clients’ participation in MMT was also observed (baseline, 64.5%; month one, 71.6%; month six, 77.8%; P < 0.001).
The sweet and non-sweet indices of snack intake showed an increasing trend with age ( p < 0.001).
The frequency of mutations from 0 time point to 12 and 24 months showed that there was an increasing trend between sequential samples (P < 0.001).
In this regard, our results showed that subjects in the LL group had breakfast significantly later than individuals in any other group ( p < 0.001) ( Table 1 ), which was reflected as an increasing trend towards later breakfast timing as wakeup timing was delayed ( p < 0.001).
The administration rates of non-selective NSAIDs exhibited an increasing trend in the intraoperative phase (0.1% vs. 30.5%, P < 0.001) and POD 0 (2.4% vs. 26.8%, P < 0.001).
Regarding level of education, in all three surveys, there was an increasing trend in smoking cessation as the level of education increased ( P < 0.001).
For location effect, post-hoc analysis also showed an increasing trend of LPP from anterior to posterior direction, with significant differences from frontocentral to central sites ( F (1, 21) = 30.662, p < .001, η p 2 = .594) and from central to parietocentral to central sites ( F (1, 21) = 41.668, p < .001, η p 2 = .665), but not from parietocentral to parietal sites ( F (1, 21) = 4.932, p = ns) after collapsing all emotions.
In the multivariable GLMM analysis, switching regimens was associated with an increasing trend in TC (P < 0.001) and a decreasing trend in GLU (P = 0.013).
These results indicate an increasing trend in both the rate of comorbid dementia and that of surgery for limb fractures with increasing age ( p < 0.001).
This effect exhibited concentration dependence: within the range of 0.25–1 mg/mL, cell viability showed an increasing trend, with highly significant differences ( P ≤ 0.001) compared to the control.
An increasing trend in all three types of obesity was observed with increasing education status ( P <0.001).
The mean age rates of patients were significantly different in various years with an increasing trend in time (p<0.001).
For the barplots, significantly changing lipids showing an increasing trend or decreasing trend were selected by adjusted p- value <0.001 with a log fold change of <0 and >0, respectively.