Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
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1281
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1282
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1283
Number of Patients Who Reached the Primary and Secondary Endpoints During Follow-up.
Published 2025Subjects: -
1284
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1285
Subgroup Analysis of the Occurrence of the Primary Endpoint and Its Components.
Published 2025Subjects: -
1286
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1287
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1288
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1289
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1290
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1291
Univariate analyses.
Published 2025“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
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1292
Overview of individuals in the study.
Published 2025“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
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1293
Multivariate analyses.
Published 2025“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
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1294
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1295
Prisma flow diagram of study selection.
Published 2025“…Additionally, watching ≥6 hours of television per day was associated with a significant decrease in cognitive score (standardized beta coefficient = −0.09; 95% CI: −0.17, −0.003; I<sup>2</sup> = 71.8%; seven studies). …”
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1296
BMI groups by SES.
Published 2025“…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
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1297
BMISES_Data_Part2.
Published 2025“…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
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1298
Logistic regression for LSES population.
Published 2025“…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
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1299
Logistic regression for HSES population.
Published 2025“…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
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1300
Logistic regression for overall population.
Published 2025“…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”