The demographics questionnaire includes questions about age, education, gender and employment. by Marcel F. Hinss (14675457)

Summary of effects of gender on RT (in ms, bars) and ACC (in %, line), with 95% confidence interval. by Marcel F. Hinss (14675457)

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)

“…Association between scores and consumer type, gender, age, education level, prior experience with clinical deterioration or rapid response team review, and hospitalisation history in the last 12 months were assessed using multivariable linear regression.…”

Survey tool development process. by Lisa Thiele (6468056)

“…Association between scores and consumer type, gender, age, education level, prior experience with clinical deterioration or rapid response team review, and hospitalisation history in the last 12 months were assessed using multivariable linear regression.…”

Respondent characteristics. by Lisa Thiele (6468056)

“…Association between scores and consumer type, gender, age, education level, prior experience with clinical deterioration or rapid response team review, and hospitalisation history in the last 12 months were assessed using multivariable linear regression.…”

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)

“…Nevertheless, when examined simultaneously, only the indirect associations via pain resilience remained significant. Similarly, when predicting physical activity levels, only high levels of pain resilience and male gender were associated with increased physical activity levels, whereas kinesiophobia was not.…”

Sample characteristics. by Nils Georg Niederstrasser (7586426)

“…Nevertheless, when examined simultaneously, only the indirect associations via pain resilience remained significant. Similarly, when predicting physical activity levels, only high levels of pain resilience and male gender were associated with increased physical activity levels, whereas kinesiophobia was not.…”

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

“…Nevertheless, when examined simultaneously, only the indirect associations via pain resilience remained significant. Similarly, when predicting physical activity levels, only high levels of pain resilience and male gender were associated with increased physical activity levels, whereas kinesiophobia was not.…”

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)

“…A similar trend was observed in Chinese women; however, the protective effect was not significant below the threshold (p > 0.05). Subgroup analyses further revealed that factors such as hypertension and smoking significantly altered the association between RFM and arthritis in the US population of both genders, whereas the relationship between RFM and arthritis was relatively stable in the Chinese female population. …”