Skip to main content

Table 1 Educational gradients in explanatory factors for men and women

From: What’s the difference? A gender perspective on understanding educational inequalities in all-cause and cause-specific mortality

 

Men

Women

Testing for a gender difference in gradient (p value) a

Lowest

Low

Mid

High

Lowest

Low

Mid

High

Material factors

 Financial difficulties

  No

65.1%

76.2%

83.0%

92.6%

62.9%

78.8%

83.6%

90.0%

0.325

  Some

27.4%

21.3%

14.8%

6.5%

29.5%

17.7%

13.8%

9.0%

0.430

  Big

7.6%

2.6%

2.1%

0.9%

7.6%

3.5%

2.7%

1.0%

0.303

 Housing tenure

  Owned home

29.5%

48.4%

62.0%

76.5%

34.2%

53.0%

67.3%

74.2%

0.112

  Rented home

70.5%

51.6%

38.0%

23.5%

65.8%

47.0%

32.7%

25.8%

"

 Health insurance

  Private

7.8%

27.0%

50.6%

79.0%

15.9%

31.2%

48.3%

66.6%

< 0.001

  Public

92.2%

73.0%

49.4%

21.0%

84.1%

68.8%

51.7%

33.4%

"

Employment-related factors

 Employment

  Employed

46.7%

60.2%

61.0%

66.1%

18.9%

24.4%

34.0%

41.0%

0.932

  Unemployed

27.6%

12.7%

9.6%

4.6%

9.7%

6.4%

4.9%

7.1%

< 0.001

  Retired

25.1%

26.3%

27.9%

28.4%

6.9%

7.2%

10.0%

15.8%

0.065

  Other

0.5%

0.8%

1.6%

1.0%

64.4%

62.0%

51.1%

36.1%

< 0.001

 Occupation of the breadwinner

  Professional

4.2%

16.8%

44.0%

85.3%

10.9%

25.5%

49.6%

77.4%

< 0.001

  White collar

15.0%

23.7%

26.9%

8.5%

14.2%

22.3%

22.2%

11.7%

0.001

  Blue collar

78.4%

57.9%

27.0%

4.9%

52.4%

38.1%

18.9%

5.6%

< 0.001

  Not in the workforce

2.5%

1.6%

2.2%

1.3%

22.6%

14.2%

9.2%

5.3%

0.001

Behavioural factors

 Alcohol consumption

  No

20.0%

13.0%

10.9%

6.7%

44.9%

31.5%

21.2%

17.2%

0.005

  Light

54.9%

61.2%

62.7%

67.6%

38.5%

47.8%

48.6%

51.7%

0.618

  Moderate

8.5%

11.4%

12.8%

15.1%

11.5%

13.5%

18.6%

20.9%

0.147

  Heavy

16.7%

14.4%

13.7%

10.5%

5.1%

7.3%

11.5%

10.2%

< 0.001

 Body mass index (BMI)

  Underweight

4.3%

3.4%

3.4%

4.0%

7.2%

8.5%

10.1%

12.1%

0.071

  Normal weight

46.2%

46.9%

55.1%

61.8%

49.1%

56.2%

62.1%

65.0%

0.844

  Overweight

41.8%

44.6%

37.5%

32.4%

32.3%

28.5%

23.5%

17.7%

0.118

  Obese

7.6%

5.1%

4.0%

1.8%

11.4%

6.7%

4.3%

5.2%

0.989

 Smoking

  Current

54.8%

45.2%

38.2%

35.4%

42.1%

32.7%

28.9%

19.9%

0.009

  Former

34.1%

40.4%

43.5%

42.9%

21.7%

28.2%

30.7%

32.5%

0.181

  Never

11.1%

14.5%

18.3%

21.7%

36.2%

39.1%

40.4%

47.7%

0.056

 Leisure activity

  Inactive

15.5%

11.9%

12.2%

10.1%

18.6%

11.7%

10.8%

7.2%

0.003

  Little

12.9%

14.0%

14.4%

16.3%

16.8%

16.6%

15.3%

18.4%

0.119

  Moderate

22.5%

25.1%

26.0%

28.1%

29.7%

27.5%

29.9%

26.7%

0.005

  Active

49.1%

49.0%

47.5%

45.5%

34.9%

44.3%

44.0%

47.7%

< 0.001

 Sports activity

  Inactive

73.3%

60.9%

51.6%

44.0%

72.9%

56.9%

46.2%

43.1%

0.320

  Little

4.8%

6.6%

9.4%

8.4%

7.2%

8.0%

8.7%

11.3%

0.391

  Moderate

9.9%

14.3%

16.6%

23.8%

12.4%

21.5%

26.9%

23.3%

0.302

  Active

12.0%

18.2%

22.4%

23.8%

7.4%

13.6%

18.2%

22.3%

0.004

Family-related factors

 Marital status

  Currently married

73.6%

82.1%

81.1%

77.7%

71.5%

78.0%

72.0%

65.9%

0.001

  Previously married

10.2%

7.5%

7.5%

8.7%

20.4%

15.4%

14.3%

11.2%

0.025

  Never married

16.2%

10.4%

11.4%

13.6%

8.2%

6.6%

13.7%

22.9%

< 0.001

 Living arrangement

  Living with partner

78.0%

86.9%

86.4%

84.2%

75.7%

81.5%

76.7%

73.0%

0.001

  Living alone

22.0%

13.1%

13.6%

15.8%

24.3%

18.5%

23.3%

27.0%

"

 Number of children

  0

26.0%

18.8%

22.3%

22.0%

12.2%

15.2%

21.8%

32.1%

< 0.001

  1

16.6%

14.0%

12.2%

7.3%

14.4%

12.7%

10.8%

6.9%

0.275

  2

32.7%

38.5%

37.5%

35.4%

42.3%

38.5%

31.5%

29.0%

< 0.001

  3 or more

24.6%

28.7%

28.1%

35.3%

31.0%

33.6%

35.9%

32.0%

0.015

  1. Notes. Age-standardised towards the age distribution of men and women observed in the data. The imputed values resulting from our multiple imputations strategy were also included in these distributions. a The p value of the difference in the educational gradient for men and women came from interaction models (education × gender) in which we additionally controlled for age and age × gender interactions