Image 1_Inflammation and nutritional status in relation to mortality risk from cardio-cerebrovascular events: evidence from NHANES.tif by Chengzhi Hou (20419865)

“…To the right, the risk might increase by 0.2%, although the change was not statistically significant. …”

Participants diagram of the study. by Nirmal Gautam (10031682)

“…Moreover, non-consumption of fatty foods and outdoor activities were found to be associated with a decrease in obesity by respectively. However, non-consumption of fruits and vegetables and maternal BMI were significantly correlated with an increased risk of obesity in children () and adolescents () respectively.…”

Supplementary file 1_Source apportionment and ecological risk of heavy metals in Taihu lake from 2020 to 2022.docx by Guangjing Bao (21837749)

“…Furthermore, the potential ecological risk exhibited a significant decreasing trend, with Z-values passing the 95% confidence interval significance test, except for S3. …”

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.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

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.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

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.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

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.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

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.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

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.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

Histogram of the extracted parameters. by Qiuyu Du (20760848)

“…No significant associations were found with long-term outcomes.…”

Image_1_Antioxidants and the risk of sleep disorders: results from NHANES and two-sample Mendelian randomization study.pdf by Junjie Jiang (7255706)

“…A multivariable logistic regression model showed that each unit increase in CDAI corresponded to a 14.6% reduction in sleep disorder risk, exhibiting a nonlinear trend where the risk decreased until reaching the inflection point of −0.134. …”

Table_1_Antioxidants and the risk of sleep disorders: results from NHANES and two-sample Mendelian randomization study.docx by Junjie Jiang (7255706)

“…A multivariable logistic regression model showed that each unit increase in CDAI corresponded to a 14.6% reduction in sleep disorder risk, exhibiting a nonlinear trend where the risk decreased until reaching the inflection point of −0.134. …”

Table_1_Antioxidants and the risk of sleep disorders: results from NHANES and two-sample Mendelian randomization study.docx by Junjie Jiang (7255706)

“…A multivariable logistic regression model showed that each unit increase in CDAI corresponded to a 14.6% reduction in sleep disorder risk, exhibiting a nonlinear trend where the risk decreased until reaching the inflection point of −0.134. …”

Image_1_Antioxidants and the risk of sleep disorders: results from NHANES and two-sample Mendelian randomization study.pdf by Junjie Jiang (7255706)

“…A multivariable logistic regression model showed that each unit increase in CDAI corresponded to a 14.6% reduction in sleep disorder risk, exhibiting a nonlinear trend where the risk decreased until reaching the inflection point of −0.134. …”

Data Sheet 1_Risk factors of low bone mass in young patients with transfusion-dependent beta-thalassemia.docx by Wei Zhang (405)

“…Without height-adjusted BMD correction, the overall prevalence was 31.6% (33.4% in the 5-19-year subgroup), which significantly decreased to 15.8% in the 5-19-year subgroup after height-adjusted correction, highlighting that traditional BMD assessments may overestimate risk due to unaccounted short stature. …”

Burden trends and risk factors for prostate cancer from 1990 to 2021: a systematic analysis of the Global Burden of Disease Study 2021 by Yuan Xu (161775)

“…Causal associations of risk factors were examined by two-sample mendelian randomization. …”

Image_1_The causal effects of dietary component intake and blood metabolites on risk of delirium: a Mendelian randomization study.pdf by Qian Zhu (191342)

“…Moreover, increased blood 1-stearoylglycerol levels (OR 0.187, 95%CI 0.080–0.435, p = 9.97E-05) significantly contributed to reducing the risks of delirium. 3-methoxytyrosine (OR 0.359, 95%CI 0.154–0.841, p = 0.018) also has the potential to decrease the risk of delirium.…”

Table_1_The causal effects of dietary component intake and blood metabolites on risk of delirium: a Mendelian randomization study.xlsx by Qian Zhu (191342)

“…Moreover, increased blood 1-stearoylglycerol levels (OR 0.187, 95%CI 0.080–0.435, p = 9.97E-05) significantly contributed to reducing the risks of delirium. 3-methoxytyrosine (OR 0.359, 95%CI 0.154–0.841, p = 0.018) also has the potential to decrease the risk of delirium.…”

Effects of berry consumption on cardiometabolic risk factors in patients with metabolic syndrome: a systematic review and meta-analysis of randomised controlled trials by Mohammad Amin Mohammadi (21440815)

Supplementary Material for: Early initiation of icodextrin reduces peritoneal dialysis-associated peritonitis risk: a retrospective cohort study by Mitsuno R. (20394647)

“…The early use of ICO remained significantly associated with decreased incidence of both peritonitis and TI (hazards ratio [HR], 0.19; 95% confidence interval [CI], 0.06–0.69 and HR, 0.10; 95% CI, 0.01–0.78, respectively) using Cox regression analysis adjusted for potential confounders. …”