Gender-specific incidence trends of HFMD in Guangzhou from 2013 to 2023. by Haipeng Luo (5322419)

Distribution of responses to vital signs. by Lisa Thiele (6468056)

“…No significant difference existed in knowledge, confidence, or barrier scores based on consumer type, gender, education level, previous experience with deterioration or rapid response team review, or hospitalisation history.…”

Survey tool development process. by Lisa Thiele (6468056)

“…No significant difference existed in knowledge, confidence, or barrier scores based on consumer type, gender, education level, previous experience with deterioration or rapid response team review, or hospitalisation history.…”

Respondent characteristics. by Lisa Thiele (6468056)

“…No significant difference existed in knowledge, confidence, or barrier scores based on consumer type, gender, education level, previous experience with deterioration or rapid response team review, or hospitalisation history.…”

Study-related adverse events. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study flow chart. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Table 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx by Haiyan Yu (356393)

“…For men, risk for new-onset diabetes decreased significantly with increasing sleep duration only among participants < 60 years. …”

Data Sheet 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx by Haiyan Yu (356393)

“…For men, risk for new-onset diabetes decreased significantly with increasing sleep duration only among participants < 60 years. …”

Regression analysis predicting PAEE-tr. by Nils Georg Niederstrasser (7586426)

“…<div><p>Background</p><p>Pain is associated with a decrease in physical activity for most individuals. …”

Sample characteristics. by Nils Georg Niederstrasser (7586426)

“…<div><p>Background</p><p>Pain is associated with a decrease in physical activity for most individuals. …”

Overview of direct and indirect associations. by Nils Georg Niederstrasser (7586426)

“…<div><p>Background</p><p>Pain is associated with a decrease in physical activity for most individuals. …”

Table 2_Global, regional and national patterns and gender disparity of intraocular foreign bodies from 1990 to 2021.doc by Yi Shan (160293)

“…Pearson’s correlations (r = 0.3093, p < 0.001) and linear regression (Y = 4.850*X − 1.857) revealed a significant positive association between gender differences and SDI. …”

Table 1_Global, regional and national patterns and gender disparity of intraocular foreign bodies from 1990 to 2021.doc by Yi Shan (160293)

“…Pearson’s correlations (r = 0.3093, p < 0.001) and linear regression (Y = 4.850*X − 1.857) revealed a significant positive association between gender differences and SDI. …”

Participants’ Mean Blood Glucose. by Giti Azim (20940548)

“…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. …”

Participants’ Mean Total Cholesterol. by Giti Azim (20940548)

“…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. …”

Study sample. by Nipaporn Butsing (19470003)

“…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”

Table 1_Association between relative fat mass and risk of arthritis: a study based on populations in China and the United States.docx by Yang Yang (45629)

“…In the American female population, a non-linear correlation was observed between RFM and arthritis, with elevated RFM below the threshold of 35.85 exhibiting a modest decrease in the risk of arthritis, and elevated RFM above the threshold demonstrating a substantial increase in the risk of arthritis. …”

Data Sheet 1_Knowledge, attitude, and practice toward foodborne disease among Chinese college students: a cross-sectional survey.pdf by Xingming Ma (446316)

“…The significant predictors of practices were included gender (β = 0.11, p < 0.05), nationality (β = −0.12, p < 0.05), specialization type (β = −0.13, p < 0.05), residence (β = −0.11, p < 0.05).…”

Data Sheet 1_Clinical predictors and concomitant antiseizure medications effects on seizure control in relation to plasma cenobamate concentration: a multicenter retrospective stud... by Francesca Felicia Operto (12509263)

“…Among responders, 53.8% (14/26) achieved response on ≤100 mg/day, with CNBp of 0.5–17.6 μg/mL (median ∼5–6 μg/mL). There was no significant relationship between age and gender, although there was a statistically significant correlation between CNBp and BMI (p = 0.038; R2 = 0.157). …”