“an increasing trend”

The mean BI score showed an increasing trend over time, with a significant difference ( F = 42.90, p < 0.001).

The highest prescription rate of the annual use of statins in new users was rosuvastatin, with an increasing trend from 2013 to 2016 (69.87, 95% CI: 68.68–71.06% in 2013; 80.54, 95% CI: 79.68–81.40% in 2016), and slightly decreased in 2017 and 2018, p < 0.001 (Fig. 1 ).

The prevalence of hypertension increased with age, and an increasing trend was observed ( P < .001).

Time trend analysis revealed that an increasing trend was observed for age at diagnosis ( p = 0.001), proportion of patients without a reproductive history ( p < 0.001), postmenopausal patients ( p = 0.001), invasive pathological cancer type ( p = 0.008), ER-positive rate ( p < 0.001), PR-positive rate ( p = 0.008), and HER2-positive rate ( p < 0.001).

An increasing trend of post-anticoagulant D-dimers was observed for patients who died in the hospital (median slope: 0.09), while a decreasing trend was seen for those who were discharged (median slope: −0.05), with a significant difference between the changes in slope (p<0.001) ( figure 2a ).

From 2007 to 2013, there was an increasing trend in the use of norepinephrine (VUI norepinephrine was 0.24 in 2007 and 0.46 in 2013; p < 0.001) and a decreasing trend in the use of phenylephrine (VUI phenylephrine was 0.20 in 2007 and 0.08 in 2013; p < 0.001).

Those with moderate to severe OSA showed an increasing trend in blood glucose levels after sleep onset, whereas those without or with mild OSA showed a decreasing trend (F = 8.933, p < 0.001).

In the participants aged under 60 years old, an increasing trend was found in WCCI ( p value for trend: <0.001) and reach a maximum of 1.2 (95% CI, [0.7, 1.8], p < 0.001; Fig. 3b ; Supplementary Table 3 ) when taking training for 6 days per week.

The positive expectancies of cannabis use effects score measured among the participants demonstrated an increasing trend (T1: mean 6.41, SD 2.85; T2: mean 7.20, SD 2.93; T3: mean 7.96, SD 2.99; P <.001).

Compared with cohort I and cohort II, the proportion of patients in “remission” and “continuous remission” in the cohort III group showed an increasing trend (17.3% vs. 23.9% vs. 46.6%, P <0.001; 6.3% vs. 6.6% vs. 10.6%, P <0.001) ( Table 3 ).

During anesthesia, Cdyn showed a decreasing trend ( P < .001) while Raw showed an increasing trend ( P < .001).

These results are in accordance with the data from 2005 to 2010, which show an increasing trend for hypercholesterolemia treatment (6.9% and 23.5% in 2005 and 2010, respectively, P < 0.001).

Time from diagnosis to treatment initiation exceeded 60 days in >50% of cases in all age groups, with an increasing trend in women of 50–69 (APC = 1.27; p < 0.001) and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:\ge\:$$\end{document} 70 years of age (APC=1.83; p < 0.001).

Coverage with the tetanus toxoid, diphtheria toxoid, and acellular pertussis vaccine varied between 49.8% in 2016 and 79.4% in 2018, following an increasing trend ( p < 0.001).

As shown in Table 3 , an increasing trend in the H-TEAC of R. rugosa hips was observed with significant differences ( p < 0.001) between the different maturity stages.

Results: Correlation analysis showed an increasing trend of CLP birth prevalence to PM 10 (CC = 0.61, 95% CI = 0.38–0.77, p < 0.001) and PM 2.5 (CC = 0.63, 95% CI = 0.42–0.77, p < 0.001).

Association of lnc-MEG3 with CR after 1 course of induction treatment Lnc-MEG3 displayed an increasing trend after 1 course of treatment in pediatric AML patients ( P < .001) (Fig. 3 ).

Data were analyzed using Tweedie's multiple regression and multiple binary logistic regression (α<0.05). Results There was an increasing trend in the number of hospitalized cases of oral cancer in Brazil between 2009 and 2017 (B=0.043, p<0.001, PR=1.044).

Moreover, an increasing trend in rates of isolates non-susceptible to ciprofloxacin was also observed (p < 0.001) starting at 25.6% in 2010 to reach 32.2% in 2017.

Changes in DDDs Figures 2a,b show that before policy implementation, evolocumab exhibited an upward trend in DDDs (β 1 = 2931.563, P < 0.001), while alirocumab also demonstrated an increasing trend (β 1 = 833.907, P < 0.001), albeit less pronounced than that of evolocumab.

It means an increasing trend in the prevalence of hyperuricemia with the higher TyG index ( p <.001).

An increasing trend was observed for: multiple (≥5) partners (29% of AYA in 2013 vs. 38% in 2017, P < 0.001), self-reported past year and lifetime STD diagnosis (12 vs. 21%, P < 0.001 and 19 vs. 33%, P < 0.001, respectively), and lab-documented diagnosis of any STD (15 vs. 25%, P < 0.001), syphilis (2 vs. 5%, P = 0.006), any chlamydia (11 vs. 20%, P = 0.001), and any gonorrhea (3 vs. 8%, P = 0.008).

The interrupted time series analysis revealed an increasing trend in the actual outpatient service utilization rate for heart failure in the exposed group prior to the wildfires (pre-interruption slope; estimate, 0.649; p-value<0.001).

For insurance, the percentage of Medicaid showed an increasing trend recently ( 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).