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Table 1 Summary statistics of the characteristics for all participants

From: The influencing factors of health-related quality of life among rural hypertensive individuals: a cross-sectional study

Variable

Total

Hypertension

Non-hypertension

P

(N = 23,485)

(N = 8128)

(N = 15,357)

Age (year, mean ± SD)

55.29 ± 12.62

60.52 ± 10.25

52.52 ± 12.88

 < 0.001

Gender (n, %)

   

0.017

Men

9533 (40.59)

3385 (41.65)

6148 (40.03)

 

Women

13,952 (59.41)

4743 (58.35)

9209 (59.97)

 

Education status (n, %)

   

 < 0.001

Primary or below

10,108 (43.04)

4253 (52.33)

5855 (38.13)

 

Middle school

8971 (38.20)

2695 (33.16)

6276 (40.87)

 

High school or above

4406 (18.76)

1180 (14.52)

3226 (21.01)

 

Marital status (n, %)

   

 < 0.001

Married/cohabiting

21,185 (90.21)

7149 (87.96)

14,036 (91.40)

 

Widowed/divorced/separated/single

2300 (9.79)

979 (12.04)

1321 (8.60)

 

Per capita monthly income (RMB, n, %)

   

 < 0.001

 < 500

8679 (36.96)

3311 (40.74)

5368 (34.95)

 

500 ~ 

7444 (31.70)

2629 (32.34)

4815 (31.35)

 

1000 ~ 

5348 (22.77)

1667 (20.51)

3681 (23.97)

 

2000 ~ 

2014 (8.58)

521 (6.41)

1493 (9.72)

 

Physical activity (n, %)

   

 < 0.001

Low

8113 (34.55)

3189 (39.23)

4924 (32.06)

 

Moderate

7814 (33.27)

2393 (29.44)

5421 (35.30)

 

High

7558 (32.18)

2546 (31.32)

5012 (32.64)

 

Sleep quality (n, %)

   

 < 0.001

Good

18,501 (79.39)

6190 (76.89)

12,311 (80.71)

 

Poor

4802 (20.61)

1860 (23.11)

2942 (19.29)

 

NCDs (n, %)

   

 < 0.001

Non

11,889 (50.75)

2967 (36.61)

8922 (58.22)

 

One

8821 (37.65)

3540 (43.68)

5281 (34.46)

 

Two

2314 (9.88)

1320 (16.29)

994 (6.49)

 

Three or more

404 (1.72)

277 (3.42)

127 (0.83)

 

BMI (kg/m2, mean ± SD)

24.98 ± 3.59

26.19 ± 13.32

24.35 ± 11.52

 < 0.001

Utility index (mean ± SD)

0.95 ± 0.11

0.94 ± 0.14

0.96 ± 0.09

 < 0.001

VAS score (mean ± SD)

78.33 ± 14.80

75.88 ± 15.50

79.66 ± 14.20

 < 0.001

  1. T-test was performed to compare the differences in continuous variables; Chi-square test was used to compare the differences in the categorical variables
  2. SD, standard deviation; RMB, Renminbi; NCDs, non-communicable diseases