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Table 1 Basic characteristics of the study sample stratified by gender and age

From: Dynamic development of metabolic syndrome and its risk prediction in Chinese population: a longitudinal study using Markov model

Basic survey

18–39 (years)

40–49 (years)

50–59 (years)

≥ 60 (years)

x 2

p*

Men

 N

4730

5088

2678

1754

  

 Age (years)

32.11 ± 4.99

44.45 ± 2.92

54.23 ± 2.95

68.39 ± 6.42

  

 Overweight or obesity

2220 (46.93%)

2781 (54.66%)

1513 (56.50%)

933 (53.19%)

85.382

< 0.0001

 Hypertension

981 (20.74%)

1821 (35.79%)

1241 (46.24%)

1069 (60.95%)

1096.064

< 0.0001

 Dyslipidemia

1790 (37.84%)

2554 (50.20%)

1300 (48.54%)

772 (44.01%)

167.648

< 0.0001

 Hyperglycemia

193 (4.08%)

627 (12.32%)

582 (21.73%)

501 (28.56%)

869.355

< 0.0001

 MS

489 (10.34%)

1080 (21.23%)

731 (27.30%)

568 (32.38%)

535.283

< 0.0001

Women

 N

3271

2705

892

659

  

 Age (years)

31.45 ± 5.14

44.32 ± 2.88

53.46 ± 2.85

66.92 ± 5.22

  

 Overweight or obesity

418 (12.78%)

484 (17.89%)

295 (33.07%)

320 (48.56%)

640.497

< 0.0001

 Hypertension

193 (5.90%)

338 (12.50%)

241 (27.02%)

383 (58.12%)

1263.240

< 0.0001

 Dyslipidemia

509 (15.56%)

567 (20.96%)

357 (40.02%)

319 (48.41%)

490.266

< 0.0001

 Hyperglycemia

72 (2.20%)

92 (3.40%)

81 (9.08%)

149 (22.61%)

506.689

< 0.0001

 MS

63 (1.93%)

82 (3.03%)

96 (10.76%)

180 (27.31%)

750.878

< 0.0001

  1. The mean ± standard deviations and percentages were used to express the normally distributed continuous variables and the categorical variables, respectively. Chi square test was used to compare the differences for categorical variables, the test statistics are x2 values
  2. * p for each row testing the null hypothesis that values for four age groups were equal. Two-sided p < 0.05 was considered statistically significant