41 research outputs found
Hazard Ratios and 95%Confidence Intervals for risk of cardiovascular death by serum, dietary, supplement, and total calcium.
1<p>Adjusted for: age, sex, race/ethnicity, poverty to income ratio, comorbidity index, serum vitamin D, alcohol consumption, smoking behaviour, vigorous physical activity, and BMI.</p>2<p>Adjusted for: age, sex, race/ethnicity, poverty to income ratio, comorbidity index, serum vitamin D, alcohol consumption, smoking behaviour, vigorous physical activity, total energy intake, and BMI.</p
Adjusted dose-response association between daily calcium supplement intake and risk for cardiovascular death.
<p>Calcium supplement intake was coded using an RCS function with four knots arbitrarily located at the 0.05, 0.35, 0.65, and 0.95 percentile. Y-axis represents the adjusted hazard ratio for cardiovascular death for any value of calcium supplement/dietary intake compared to individuals with 0 mg per day intake. Dashed lines are 95% confidence intervals. Knots are represented by dots.</p
Adjusted dose-response association between daily dietary calcium intake and risk for cardiovascular death.
<p>Calcium intake was coded using an RCS function with four knots arbitrarily located at the 0.05, 0.35, 0.65, and 0.95 percentile. Y-axis represents the adjusted hazard ratio for cardiovascular death for any value of calcium supplement/dietary intake compared to individuals with 1000 mg per day intake. Dashed lines are 95% confidence intervals. Knots are represented by dots.</p
Baseline characteristics of study population by vital status.
<p>Baseline characteristics of study population by vital status.</p
Forest plot for association between ADT and MetS.
<p>Forest plot for association between ADT and MetS.</p
Flow chart of study selection for meta-analysis on ADT and MetS.
<p>Flow chart of study selection for meta-analysis on ADT and MetS.</p
Begg’s funnel plots to test for publication bias for the associations between ADT and diabetes (a) and ADT and diabetes (b).
<p>Begg’s funnel plots to test for publication bias for the associations between ADT and diabetes (a) and ADT and diabetes (b).</p
Additional file 1: Table S1. of How to model temporal changes in comorbidity for cancer patients using prospective cohort data
Variables used in the long dataset. Table S2. Subset of data including three study subjects transformed to long format. Table S3. R-codes used for subset selection and models 1, 2, 3a, and 3b. (DOCX 46 kb
Forest plot for association between ADT and diabetes.
<p>Forest plot for association between ADT and diabetes.</p
Overview of studies included in meta-analyses.
<p><sup>1</sup> MetS Definition of the National Cholesterol Education Programme—Adult treatment panel III</p><p><sup>2</sup> Mets Definition of the International Diabetes Federation.</p><p>Overview of studies included in meta-analyses.</p