The injectable contraceptives depot medroxyprogesterone acetate and norethisterone enanthate substantially and differentially decrease testosterone and sex hormone binding globulin... by Chanel Avenant (409756)

Cohort characteristics. by Fernanda Talarico (807333)

“…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …”

Association of covariates and COPD risk. by Yushan Shi (16440272)

Questionnaire description. by Cristobal Padilla-Fortunatti (21376807)

“…<div><p>Background</p><p>During the last decades, intensive care unit (ICU) mortality rates have significantly decreased but this progress has come with unintended consequences for patients and their caregivers. …”

Flow diagram of participants selection. by Wei Huang (36889)

“…Finally, to assess the robustness of results, we conducted subgroup and sensivity analysis.</p><p>Results</p><p>Each 1-unit BRI increase elevated LMM risk by 73% (OR=1.73, 95%CI = 1.61–1.86, <i><i>p</i></i> < 0.0001). …”

Minimal data set. by Wei Huang (36889)

“…Finally, to assess the robustness of results, we conducted subgroup and sensivity analysis.</p><p>Results</p><p>Each 1-unit BRI increase elevated LMM risk by 73% (OR=1.73, 95%CI = 1.61–1.86, <i><i>p</i></i> < 0.0001). …”

Weighted comparison of baseline characteristics. by Wei Huang (36889)

“…Finally, to assess the robustness of results, we conducted subgroup and sensivity analysis.</p><p>Results</p><p>Each 1-unit BRI increase elevated LMM risk by 73% (OR=1.73, 95%CI = 1.61–1.86, <i><i>p</i></i> < 0.0001). …”

Recruitment flow diagram of the current study. by Somayeh Momenyan (10111603)

“…Predictors of HRQoL included sociodemographic, psychological, medical, and trauma-related factors collected at baseline. We applied generalized additive mixed models to flexibly capture nonlinear changes in HRQoL over time, and piecewise latent growth curve model to analyze distinct linear phases of recovery across defined time intervals.…”

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Classification of hand grip strength. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Rating scale for functional severity [28]. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Regression model coefficients. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Data Sheet 1_Impact of multiple environmental factors on influenza–like illness in Fujian Province, China, 2015–2023: a multicity study.zip by Xiaoyan Yao (8723622)

“…The NO₂–ILI association was non–linear, resembling an inverted “U” shape, with a risk peak at 40.5 μg/m³. …”

Table 1_Metabolites mediate the effects of healthy lifestyles on the risks of common age-related diseases.xlsx by Yan Li (23143)

“…Furthermore, intermediate or healthy lifestyles significantly decreased the age-related risk of stroke, chronic liver disease, chronic kidney disease (CKD), osteoporosis, osteoarthritis, and hypertension. …”

Table 1_Association between body composition in early pregnancy and the risk of gestational diabetes mellitus.docx by Yan Li (23143)

“…Each standard deviation (SD) increase in PBF and FM was associated with a 31% (95% CI: 1.07–1.60) and 27% (95% CI: 1.03–1.57) increased risk of GDM, respectively. RCS analysis indicated that the risk of GDM continuously increased with higher levels of PBF and FM, whereas it decreased with FFM and LM (p-overall < 0.001, p-non-linear range: 0.073–0.924). …”

Supplementary file 1_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…Then a predictive model using logistic regression was established based on the most significant protective and risk factors.</p>Results<p>We found a significant separation along the coordinate axis between people with normal and declined cognition by principal component analysis, as confirmed by the Manover-Wilk test. …”

Supplementary file 4_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…Then a predictive model using logistic regression was established based on the most significant protective and risk factors.</p>Results<p>We found a significant separation along the coordinate axis between people with normal and declined cognition by principal component analysis, as confirmed by the Manover-Wilk test. …”

Supplementary file 5_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…Then a predictive model using logistic regression was established based on the most significant protective and risk factors.</p>Results<p>We found a significant separation along the coordinate axis between people with normal and declined cognition by principal component analysis, as confirmed by the Manover-Wilk test. …”