logistic regression models jmp version 5.1 (SAS institute)

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SAS institute logistic regression models jmp version 5.1
Logistic Regression Models Jmp Version 5.1, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Title: Lower prevalence of hypertension, hypercholesterolemia, and diabetes in marathoners
Article Snippet: The logistic regression models (JMP version 5.1, SAS Institute, Cary SC) were computed with the log odds of medication users as linear functions of annual distances and marathon participation rates. table ft1 table-wrap mode="anchored" t5 caption a7 Mean±SD by participation (marathons/year) Significance (P) None 0.2–0.8 1.0–1.8 ≥2.0 Males N 34,827 19,755 5,367 2,335 Anti-hypertensive medication (%) 5.49 3.68 3.41 3.04 <0.0001 LDL-cholesterol lowering medication (%) 4.01 2.44 2.46 2.48 <0.0001 Anti-diabetic medication (%) 0.74 0.41 0.30 0.09 <0.0001 Running distance (km/year) 1585.62±1007.92 2175.40±1129.94 2779.74±1237.87 3227.64±1385.44 <0.0001 10 km performance (m/s) 3.77±0.58 3.97±0.52 4.11±0.51 4.14±0.49 <0.0001 Age (years) 44.84±11.53 43.18±9.96 45.04±9.51 47.52±9.69 0.12 Education (years) 16.38±2.51 16.48±2.46 16.50±2.55 16.57±2.76 <0.0001 BMI (kg/m 2 ) 24.42±2.95 23.94±2.64 23.55±2.47 23.43±2.55 <0.0001 Meat intake (serving/wk) 3.07±2.87 2.80±2.64 2.65±2.65 2.54±2.91 <0.0001 Fruit intake (pieces/wk) 10.40±10.15 10.76±9.57 11.45±9.36 12.19±10.01 <0.0001 Alcohol intake (ml/wk) 79.99±112.49 78.25±109.86 81.32±110.88 83.41±123.27 0.49 Females N 29,257 13,121 1,989 673 Anti-hypertensive medication (%) 2.10 1.37 1.76 2.38 <0.0001 LDL-cholesterol lowering medication (%) 0.77 0.42 0.25 1.04 <0.0001 Anti-diabetic medication (%) 0.36 0.24 0.15 0.15 0.06 Running distance (km/year) 1469.91±952.13 2135.25±1078.31 2793.81±1211.80 3209.39±1503.28 <0.0001 10 km performance (m/s) 3.31±0.56 3.47±0.51 3.67±0.47 3.71±0.50 <0.0001 Age (years) 38.23±10.58 37.60±9.03 40.57±9.08 43.12±9.29 <0.0001 Education (years) 15.93±2.66 16.30±2.33 16.24±2.40 16.13±2.42 <0.0001 BMI (kg/m 2 ) 21.79±2.88 21.39±2.35 21.05±2.16 21.40±2.60 <0.0001 Meat intake (serving/wk) 1.89±2.16 1.62±2.11 1.49±2.06 1.45±2.04 <0.0001 Fruit intake (pieces/wk) 10.54±8.23 10.74±9.01 11.43±8.17 11.51±8.09 <0.0001 Alcohol intake (ml/wk) 48.98±72.55 48.52±68.66 48.90±72.85 53.53±84.45 <0.0001 Open in a separate window Sample characteristics by marathon participation in 62,284 male and 45,040 female runners.

Article Title: Lower Prevalence of Hypertension, Hypercholesterolemia, and Diabetes in Marathoners
Article Snippet: Table 1 presents means T SD for all variables assessed; all other statistics are expressed as meanTSEor coefficientsTSE.The logistic regressionmodels (JMP version 5.1, SAS Institute, Cary, SC) were computed with the log odds of medication users as linear functions of annual distances and marathon participation rates.

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