Search alternatives:
linear decrease » linear increase (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
linear decrease » linear increase (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
-
201
-
202
-
203
-
204
-
205
-
206
Participants’ Mean Blood Glucose.
Published 2025“…Moreover, multivariate analysis using multiple linear regression indicates the same result; however, the results of marital status and gender are not significant with BG level and results of education levels, salt intake and any type of physical activity are not significant with TC levels. …”
-
207
Participants’ Mean Total Cholesterol.
Published 2025“…Moreover, multivariate analysis using multiple linear regression indicates the same result; however, the results of marital status and gender are not significant with BG level and results of education levels, salt intake and any type of physical activity are not significant with TC levels. …”
-
208
Characteristics of HACE respondents by year.
Published 2025“…</p><p>Results</p><p>Overall patient satisfaction with general practice declined significantly over the 10 years, with mean positive scores dropping from 90.1% in 2011/12 to 70.5% in 2021/22. …”
-
209
-
210
-
211
-
212
-
213
-
214
Classes of errors and gaps in BOLD metadata.
Published 2025“…ASAP was found to be superior to RESL due to RESL’s adherence to the concept of the DNA barcoding gap. Moreover, we found that taxonomic misassignments, inconsistencies in BIN formation, and missing metadata also contribute significantly to unreliable identifications. …”
-
215
-
216
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. …”
-
217
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. …”
-
218
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. …”
-
219
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. …”
-
220
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. …”