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Table 4 Multiple Logistic Regressions of Dipstick Proteinuria Severity With the Best 10% and the Worst 10% of Each Exercise Performance

From: Association of Single Measurement of dipstick proteinuria with physical performance of military males: the CHIEF study

 

Moderate proteinuria

Severe proteinuria

Unremarkable proteinuria

OR

95% CI

p-value

OR

95% CI

p-value

Ref

Top 10% of performance level

 Model 1

  2-min push-ups ≥ 60 numbers

0.96

0.76–1.21

0.71

1.20

0.70–1.50

0.90

1.00

  2-min sit-ups ≥ 59 numbers

0.83

0.64–1.07

0.14

0.82

0.54–1.25

0.36

1.00

  3000-m run ≤783 s

1.03

0.85–1.25

0.75

0.92

0.66–1.27

0.60

1.00

Model 2

  2-min push-ups ≥ 60 numbers

0.90

0.71–1.14

0.39

0.98

0.67–1.43

0.90

1.00

  2-min sit-ups ≥ 59 numbers

0.79

0.61–1.02

0.07

0.77

0.50–1.18

0.22

1.00

  3000-m run ≤783 s

1.04

0.86–1.26

0.70

0.92

0.67–1.28

0.62

1.00

 Model 3

  2-min push-ups ≥ 60 numbers

0.94

0.74–1.19

0.58

1.03

0.69–1.52

0.90

1.00

  2-min sit-ups ≥ 59 numbers

0.82

0.63–1.06

0.12

0.78

0.50–1.21

0.26

1.00

  3000-m run ≤783 s

1.04

0.86–1.26

0.66

0.90

0.65–1.25

0.52

1.00

Bottom 10% of performance level

 Model 1

  2-min push-ups ≤ 37 numbers

1.08

0.85–1.38

0.53

1.70

1.20–2.42

< 0.01

1.00

  2-min sit-ups ≤ 40 numbers

1.24

0.96–1.60

0.10

0.87

0.52–1.45

0.59

1.00

  3000-m run ≥934 s

1.25

0.96–1.62

0.09

2.01

1.39–2.92

< 0.01

1.00

 Model 2

  2-min push-ups ≤ 37 numbers

1.16

0.91–1.49

0.23

1.85

1.29–2.69

< 0.01

1.00

  2-min sit-ups ≤ 40 numbers

1.26

0.97–1.63

0.08

0.91

0.55–1.53

0.72

1.00

  3000-m run ≥934 s

1.31

1.00–1.71

0.04

2.05

1.40–3.01

< 0.01

1.00

 Model 3

  2-min push-ups ≤ 37 numbers

1.16

0.90–1.49

0.25

1.77

1.23–2.56

< 0.01

1.00

  2-min sit-ups ≤ 40 numbers

1.21

0.93–1.57

0.16

0.83

0.49–1.41

0.48

1.00

  3000-m run ≥934 s

1.30

0.99–1.69

0.05

1.93

1.31–2.84

< 0.01

1.00

  1. Data are presented as odds ratios (OR) and 95% confidence intervals (CI) using multiple logistic regression analysis for Model 1: age and service specialty adjustments; Model 2: the covariates in Model 1, body mass index, blood urea nitrogen and creatinine adjustments; Model 3: the covariates in Model 2, systolic blood pressure, fasting plasma glucose, alcohol intake status, cigarette smoking status and weekly exercise frequency adjustments