Skip to main content

Table 1 Characteristic of the study population by total sitting time, (n = 71,363) a

From: Total sitting time and risk of myocardial infarction, coronary heart disease and all-cause mortality in a prospective cohort of Danish adults

 

Total sitting time

 

<6 hours

6-10 hours

>10 hours

p-value

All, complete datab

All, Imputed datac

Total, n (%)

26,207

(44.6)

23,170

(39.5)

9,327

(15.9)

 

58,704

(82.3)

 

Gender, n (%)

          

  Men

10,103

(38.5)

9,032

(39.0)

4,404

(47.2)

<0.001

28,181

(39.5)

(39.5)

  Women

16,104

(61.5)

14,138

(61.0)

4,923

(52.8)

 

43,182

(60.5)

(60.5)

Age, mean (SD)

48.8

(14.9)

46.6

(14.9)

44.7

(15.2)

<0.001

48.1

(15.3)

48.1

Education, n (%)

          

  ≤12 years

7,923

(31.2)

5,824

(25.9)

2,237

(24.9)

<0.001

15,984

(28.8)

(30.0)

  13-14 years

6,194

(24.4)

5,478

(24.3)

2,289

(25.5)

 

13,961

(24.5)

(24.4)

  ≥15 years

11,281

(44.2)

11,227

(49.8)

4,469

(49.7)

 

26,977

(47.4)

(45.7)

Leisure time physical activity, n (%)

          

  High/moderate

8,069

(30.9)

6,920

(30.0)

2,415

(26.0)

<0.001

17,404

(29.8)

(28.8)

  Low

15,430

(59.2)

12,887

(55.8)

4,635

(49.9)

 

32,952

(56.3)

(57.0)

  Inactive

2,587

(9.9)

3,298

(14.3)

2,246

(24.2)

 

8,131

(13.9)

(14.2)

Daily smoking, n (%)

3,142

(12.0)

3,059

(13.2)

1,530

(16.4)

<0.001

7,731

(13.2)

(13.8)

Alcohol consumption (drinks/week), mean (SD)

7.5

(8.4)

8.1

(8.8)

8.8

(10.0)

<0.001

8.0

(8.8)

7.9

Body Mass Index (kg/m2), mean (SD)

24.8

(4.0)

24.9

(4.2)

25.4

(4.6)

<0.001

24.9

(4.2)

25.0

Hypertension, n (%)

5,009

(19.9)

4,188

(18.7)

1,644

(18.3)

<0.001

10,841

(19.1)

(20.4)

Diabetes, n (%)

714

(2.8)

603

(2.6)

284

(3.1)

0.080

1,983

(2.9)

(2.9)

  1. Abbreviations: SD standard deviation, n number of participants.
  2. aSubcategories of unweighted numbers in the study population free of coronary heart disease.
  3. bThe total number of participants varies by covariates due to differences in the number of missing observations. The shown numbers of participants represent complete available information of each covariate.
  4. cMultiple imputation techniques used to estimate values for missing data. Shown numbers are proportions (%) for categorical variables and means for continuous variables.