Image 7_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif by Jinfeng Yao (2200615)

“…Background<p>The mortality of colorectal cancer (CRC) is increasing year by year and poses a significant global health burden. Many studies have demonstrated that alcohol consumption is an important risk factor for CRC and is closely associated with malignant metastasis in CRC patients, which in turn leads to a poor prognosis.…”

Table_2_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Data_Sheet_13_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Table_3_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Image 2_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif by Jinfeng Yao (2200615)

“…Background<p>The mortality of colorectal cancer (CRC) is increasing year by year and poses a significant global health burden. Many studies have demonstrated that alcohol consumption is an important risk factor for CRC and is closely associated with malignant metastasis in CRC patients, which in turn leads to a poor prognosis.…”

Table 1_The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and pulmonary function: evidence from NHANES 2007–2012.docx by Miaoyan Liu (11943570)

“…Additionally, trend test results indicated a significant linear negative correlation between NHHR and both FEV1 and FVC. …”

Table 1_Working like a mule? The physiological toll of heavy loads on mules.docx by Tamara Tadich (17244898)

“…Conversely, glutathione peroxidase (GPx) activity decreased as load increased, implying increased oxidative demand. …”

Supplementary Material for: Assessment of the Factors Influencing Early Detection Practices of Oral Carcinomas by Dentists: A Cross-Sectional Study by figshare admin karger (2628495)

“…With increasing duration, the early detection practice scores decreased. Moreover, “guidelines about OC examinations” significantly predicted practice scores (higher scores where written guidelines were present) (P<0.001). …”

Descriptive statistics. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Changes in body composition, PSC, PSCP, MVPA. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Causal paths for FFM. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Recruitment and screening flowchart. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing body fat percentage at Q2. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing body fat percentage at Q1. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

STROBE flowchart. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing FFM at Q1. by Xiang Pan (5774024)

“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Supplementary Material for: The Impact of the Selective Cytopheretic Device on Neutrophil-to-Lymphocyte Ratios and Hematological Parameters in AKI: A Pooled Analysis by figshare admin karger (2628495)

“…NLR reductions in the SCD group were driven by decreases in neutrophils and increases in lymphocytes. …”

Table 1_Association between oxidative balance score and methylation cycle biomarkers in US adults: insights from the national health and nutrition examination survey.docx by Xuna Liu (16988607)

“…RCS regression analysis revealed that with the increase in OBS, serum folate, RBC folate, vitamin B6, and vitamin B12 also increased, while HCY and MMA decreased.</p>Conclusion<p>Our findings demonstrate a significant relationship between OBS and the methylation cycle. …”

Table 1_Speckle tracking technology and investigation of risk factors for premature ventricular contraction-induced cardiomyopathy.pdf by Qiao Ma (136536)

“…Regression analysis revealed that asymptomatic PVCs, paired/interpolated PVCs, wide QRS duration (≥150 ms), and higher PVC burden were significantly associated with decreased GLS and GCS magnitude. …”

Analytic framework. by Muayad Albadrani (7495145)

“…</p><p>Results</p><p>Logistic regression analysis revealed a strong negative association where household income increases and indoor air pollution-related mortality significantly decreases. Specifically, Households in the highest income quartile showed a 22% reduction progressively in the odds of mortality risk compared to the lowest income quintile. …”