Search alternatives:
significantly linear » significant linear (Expand Search), significantly longer (Expand Search), significantly linked (Expand Search)
significantly lower » significantly higher (Expand Search)
significantly we » significantly _ (Expand Search), significantly i (Expand Search), significantly worse (Expand Search)
linear decrease » linear increase (Expand Search)
significantly linear » significant linear (Expand Search), significantly longer (Expand Search), significantly linked (Expand Search)
significantly lower » significantly higher (Expand Search)
significantly we » significantly _ (Expand Search), significantly i (Expand Search), significantly worse (Expand Search)
linear decrease » linear increase (Expand Search)
-
1
BMI groups by SES.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
2
BMISES_Data_Part2.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
3
Logistic regression for LSES population.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
4
Logistic regression for HSES population.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
5
Logistic regression for overall population.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
6
BMISES_Data_Part1.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
7
Baseline characteristics of HSES/LSES population.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
8
Baseline characteristics of overall population.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
9
Diagram of study population.
Published 2025“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”
-
10
-
11
Flow diagram of participants selection.
Published 2025“…Participants in the highest BRI quartile had significantly lower ASM/ BMI levels, with corresponding β values of − 0.17. …”
-
12
Minimal data set.
Published 2025“…Participants in the highest BRI quartile had significantly lower ASM/ BMI levels, with corresponding β values of − 0.17. …”
-
13
Weighted comparison of baseline characteristics.
Published 2025“…Participants in the highest BRI quartile had significantly lower ASM/ BMI levels, with corresponding β values of − 0.17. …”
-
14
Design of the D-trial.
Published 2024“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”
-
15
Estimated mean values for light interception.
Published 2024“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”
-
16
Raw data V-trial.
Published 2024“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”
-
17
Raw data D-trial.
Published 2024“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”
-
18
Recruitment flow diagram of the current study.
Published 2025“…Phase 1 EQ-VAS decreases were associated with female sex, lower somatic symptom, fewer comorbidities, lack of expectation for a fast recovery, higher ISS, higher injury pain, neck, spine/back or lower extremity injuries. …”
-
19
Functional and strength parameters.
Published 2025“…</p><p>Methods</p><p>Bilateral quantitative MRI of the lower limbs was performed in individuals with LGMD-R9 and healthy controls. …”
-
20