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. 2022 Jun 9;10:902393. doi: 10.3389/fpubh.2022.902393

Table 1.

Demographic variables associated with cardiometabolic disease.

Metabolic disease outcome
Non-diseased Diseased P
(n = 2,554) (n = 569)
Categorical variables N (%)
Male sex 1097 (43.0) 239 (42.0) 0.679
Occupation
  Office worker 374 (14.7) 100 (17.7) 0.184
  Operator 911 (35.7) 194 (34.3)
  Farmer 1116 (43.7) 232 (41.0)
  Others 151 (5.9) 40 (7.1)
Education
  Primary or below 504 (19.8) 101 (17.8) 0.085
  Primary 563 (22.1) 109 (19.2)
  Secondary 1252 (49.1) 290 (51.1)
  Tertiary or above 232 (9.1) 67 (11.8)
Monthly incomea
   <1,500 710 (28.2) 125 (22.4) 0.004
  1,500–2,000 463 (18.4) 87 (15.6)
  2,000–2,500 575 (22.8) 149 (26.8)
  >2,500 773 (30.7) 196 (35.2)
Smoking status
  Non-smoker 1973 (77.3) 442 (77.7) 0.632
  Smoker 351 (13.7) 71 (12.5)
  Ex-smoker 230 (9.0) 56 (9.8)
Alcohol drinking
  Non-drinker 2106 (82.5) 478 (84.0) 0.620
  Drinkerb 99 (3.9) 22 (3.9)
  Ex-drinker 349 (13.7) 69 (12.1)
Exercise status
  Sedentary 119 (4.9) 23 (4.2) 0.669
  Light-intensity 1689 (69.0) 370 (68.1)
  Moderate-intensity 639 (26.1) 150 (27.6)

Values expressed as n (%).

aAll monetary units in Chinese Yuan (CNY).

bIncludes low, moderate, and high levels.

p <0.05 used and statistically significant results bolded.