Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…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). …”

Population dynamics reflect intention-action binding. by Jean-Paul Noel (3072192)

Prisma flow diagram of study selection. by Hattapark Dejakaisaya (22238613)

“…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; I² = 71.8%; seven studies). …”

BMI groups by SES. by Krystal Hunter (6820052)

“…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. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…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. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…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. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…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. …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…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. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…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. …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…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. …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…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. …”

Diagram of study population. by Krystal Hunter (6820052)

“…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. …”

Fig 5 - by Wardah K. Mustahsan (17484456)

Quality of life and Beck Depression Inventory baseline and post CRT+MRT, CRT and RUHB. by Sergio R. Thomaz (20308465)

Subjects:

Cardiorespiratory variable measurement of the study population. by Sergio R. Thomaz (20308465)

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Description of the myofascial release techniques. by Sergio R. Thomaz (20308465)

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ΔQuality of life and ΔBeck Depression Inventory baseline and post CRT+MRT, CRT and RUHB. by Sergio R. Thomaz (20308465)

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Study flow diagram. by Sergio R. Thomaz (20308465)

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Changes in maximal strength within each group after treatment. by Sergio R. Thomaz (20308465)

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ΔVO₂ (ml/min), ΔVO₂/HR and ΔVE/VCO₂ slope baseline and post CRT+MRT, CRT and RUHB. by Sergio R. Thomaz (20308465)

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