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Table 1 Characteristics of total and test-retest respondents

From: Evaluation of measurement properties of the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) instrument among Chinese overweight and obese populations

Characteristics

Total respondents (N = 1000)

Test-retest respondents (N = 150)

P value

N

%

N

%

Sexa

    

0.215

 Male

520

52.0%

85

56.7%

 

 Female

480

48.0%

65

43.3%

Age (mean[SD])

51.7 (15.3)

50.6 (15.1)

0.789

Age group (years)a

    

0.306

 18–34

174

17.4%

28

18.7%

 

 35–44

162

16.2%

26

17.3%

 45–54

192

19.2%

27

18.0%

 55–64

179

17.9%

34

22.7%

 ≥ 65

293

29.3%

35

23.3%

Residence (Geographical division)a

    

0.710

 North

184

18.4%

25

16.7%

 

 Northeast

173

17.3%

22

14.7%

 

 East

134

13.4%

20

13.3%

 Central

136

13.6%

22

14.7%

 South

96

9.6%

20

13.3%

 Southwest

131

13.1%

20

13.3%

 Northwest

146

14.6%

21

14.0%

BMIb(mean[SD])

27.4 (2.8)

27.2 (2.7)

0.814

BMI groupa

    

0.158

 24 ≤ BMI<28

677

67.7%

109

72.7%

 

 BMI ≥ 28

323

32.3%

41

27.3%

 

Residence

    

0.602

 Urban area

832

83.2%

127

84.7%

 

 Rural area

168

16.8%

23

15.3%

 

Ethnic group

    

0.745

 Han

977

97.7%

146

97.3%

 

 Minority

23

2.3%

4

2.7%

 

Education

    

0.207

 Primary or below

196

19.6%

22

14.7%

 

 Junior high school

312

31.2%

43

28.7%

 Senior high school

338

33.8%

58

38.7%

 College or above

154

15.4%

27

18.0%

Marital status

    

0.037c

 Unmarried

81

8.1%

20

13.3%

 

 Married

890

89.0%

126

84.0%

 

 Divorced

12

1.2%

3

2.0%

 

 Widowed

17

1.7%

1

0.7%

 

Employment status

    

0.988

 Employed

683

68.3%

103

68.7%

 

 Retired

284

28.4%

42

28.0%

 

 Student

11

1.1%

2

1.3%

 

 Unemployed

22

2.2%

3

2.0%

 

Personal monthly income

    

0.672

 <2000 RMB

70

7.0%

11

7.3%

 

 2000–5000 RMB

386

38.6%

52

34.7%

 

 5000–10,000 RMB

444

44.4%

69

46.0%

 

 >10,000 RMB

100

10.0%

18

12.0%

 

Basic medical insurance

    

0.750

 Urban employee

811

81.1%

125

83.3%

 

 Urban and rural resident

174

17.4%

23

15.3%

 

 No

15

1.5%

2

1.3%

 

Commercial insurance

    

0.235

 Yes

88

8.8%

17

11.3%

 

 No

912

91.2%

133

88.7%

 

Self-report health status

    

0.898

 Poor

167

16.7%

24

16.0%

 

 General

440

44.0%

63

42.0%

 

 Good

314

31.4%

51

34.0%

 

 Very good

79

7.9%

12

8.0%

 

Hypertension

    

0.969

 Yes

292

29.2%

44

29.3%

 

 No

708

70.8%

106

70.7%

 

Diabetes

    

0.608

 Yes

89

8.9%

15

10.0%

 

 No

911

91.1%

135

90.0%

 

Hyperlipidemia

    

0.183

 Yes

327

32.7%

42

28.0%

 

 No

673

67.3%

108

72.0%

 

Number of chronic diseases

    

0.276

 0

410

41.0%

66

44.0%

 

 1

182

18.2%

22

14.7%

 

 2

169

16.9%

30

20.0%

 

 3

96

9.6%

9

6.0%

 

 ≥ 4

143

14.3%

23

15.3%

 

Weight loss therapy

    

0.017c

 Yes

231

23.1%

46

30.7%

 

 No

769

76.9%

104

69.3%

 

Smoking status

    

0.357

 Never smoked

588

58.8%

85

56.7%

 

 Used to smoke

239

23.9%

33

22.0%

 

 Smoking now

173

17.3%

32

21.3%

 

Drinking status

    

0.188

 Never drink

393

39.3%

69

46.0%

 

 Used to drink

243

24.3%

33

22.0%

 

 Drinking now

364

36.4%

48

32.0%

 

Exercise duration/week

    

0.455

 ≤ 3.5 h

568

56.8%

81

54.0%

 

 3.5–7.5 h

395

39.5%

61

40.7%

 

 ≥ 7.5 h

37

3.7%

8

5.3%

 

Fruit and vegetable intake

    

0.650

 Rarely intake

174

17.4%

30

20.0%

 

 Sometimes intake

338

33.8%

50

33.3%

 

 Often intake

488

48.8%

70

46.7%

 

High sugar oil food intake

    

0.935

 Rarely intake

152

15.2%

22

14.7%

 

 Sometimes intake

473

47.3%

73

48.7%

 

 Often intake

375

37.5%

55

36.7%

 

Sleep duration/day

    

0.077

 <7 h

579

57.9%

77

51.3%

 

 ≥ 7 h

421

42.1%

73

48.7%

 

EQ-5D-5 L utility (mean[SD])

0.851 (0.195)

0.842 (0.173)

 

IWQOL-Lite score (mean[SD])

78.5 (20.0)

76.9 (17.8)

 
  1. aThe quota sampling was used in this study, which four quotas, i.e., sex, age group, residence (geographical division), and BMI group
  2. bBMI body mass index, equals weight(kg) divided by height(m) squared
  3. cP<0.05