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Table 1 Demographic data of the old generation (n = 464)

From: Sports activities of 60 above Hungarian elderly-explaining and predicting impact of exercise on health

 

Capita

%

 

Capita

%

Gender

Marital status

male

214

46,1%

single

17

3,6%

female

251

53,9%

married

250

53,8%

Highest level of education

divorced

69

14,9%

Primary (up to 8 years of elementary school)

278

59,8%

widowed

110

23,8%

Secondary level (vocational training, vocational secondary school, high school)

120

25,9%

registered partnership

18

3,9%

Higher education (advanced technical school, bachelor’s degree, master’s degree)

65

14,1%

Region

no respond

1

0,2%

Central Hungary

130

28,1%

Economic activity

Central Transdanubia

53

11,5%

Active blue-collar worker

50

10,8%

West Pannon

46

9,9%

Active white-collar worker

29

6,2%

South Transdanubia

43

9,2%

Retired

373

80,3%

Northern Hungary

60

13,0%

Unemployed

3

0,7%

Northern Great Plain

71

15,3%

Other inactive status

7

1,5%

Southern Great Plain

61

13,0%

no respond

2

0,4%

Settlement

Monthly income level

Budapest

79

17,0%

We make a living by it very well and we can spare money.

141

30,3%

city with county rights

99

21,2%

Just enough to make a living by it, and we can’t spare.

256

55,2%

city

138

29,7%

We have living problems regularly.

51

11,0%

village

149

32,1%

no respond

16

3,5%

Number of the regularly athletes in the household

The number of people living in the same household

0

392

84,4%

1

160

34,4%

1

52

11,2%

2

238

51,1%

2

14

3,0%

3

36

7,8%

3

6

1,2%

4

16

3,4%

4

1

0,2%

5

6

1,3%

State of health limits sport activity

6

6

1,3%

yes

236

50,9%

7

1

0,2%

no

220

47,4%

no respond

2

0,5%

no respond

8

1,7%