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. 2022 Nov 23;10:1055778. doi: 10.3389/fpubh.2022.1055778

Table 1.

Characteristics of participants based on hyperuricemia.

Characteristics Non-hyperuricemia (n = 8,546) Hyperuricemia (n = 1,775) P-value
Age (year, mean ± SD) 36.60 ± 9.48 38.18 ± 10.01 <0.001
Gender ( n , %) <0.001
Men 2,811 (32.9) 1,240 (69.9)
Women 5,735 (67.1) 535 (30.1)
Education level ( n , %) 0.193
High school or below 440 (5.1) 109 (6.1)
University 5,467 (64.0) 1,110 (62.5)
Postgraduate or above 2,639 (30.9) 556 (31.3)
Marital status ( n , %) 0.020
Unmarried 1,833 (21.4) 328 (18.5)
Married/cohabitating 6,512 (76.2) 1,404 (79.1)
Divorced/widowed 201 (2.4) 43 (2.4)
Annual household income (yuan, n, %) 0.287
≤100,000 3,609 (42.2) 761 (42.9)
100,000–200,000 3,123 (36.5) 616 (34.7)
>200,000 1,814 (21.2) 398 (22.4)
Work intensity ( n , %) <0.001
Brain work 4,752 (55.6) 1,139 (64.2)
Physical work 3,794 (44.4) 636 (35.8)
Sedentary time ( n , %) 0.012
<2 h 2,274 (26.6) 438 (24.7)
2–4 h 3,880 (45.4) 773 (43.5)
4–6 h 1,567 (18.3) 377 (21.2)
>6 h 825 (9.7) 187 (10.5)
Position levels ( n , %) <0.001
Junior 4,110 (48.1) 786 (44.3)
Middle 2,967 (34.7) 620 (34.9)
Senior or higher 1,469 (17.2) 369 (20.8)
Participating in 4,002 (46.8) 886 (49.9) 0.018
physical exercise ( n , %)
Current smoking ( n , %) 902 (10.6) 392 (22.1) <0.001
Current drinking ( n , %) 709 (8.3) 352 (19.8) <0.001
Having mood symptoms ( n , %) 516 (6.0) 99 (5.6) 0.456
Irregular meal habits ( n , %) 3,839 (44.9) 739 (41.6) 0.011
Midnight snacks ( n , %) 262 (3.1) 70 (3.9) 0.056
Using hypnotics 526 (6.2) 84 (4.7) 0.021
Obesity ( n , %) 897 (10.5) 324 (18.3) <0.001
Hypertension ( n , %) 1,276 (14.9) 443 (25.0) <0.001
Diabetes mellitus ( n , %) 243 (2.8) 92 (5.2) <0.001
Dyslipidemia ( n , %) 1,518 (17.8) 823 (46.4) <0.001
Sleep quality ( n , %) 0.033
Very good 3,772 (44.1) 821 (46.3)
Fair 3,788 (44.3) 773 (43.5)
Poor 939 (11.0) 179 (10.1)
Very bad 47 (0.5) 2 (0.1)
Sleep duration (h/night) <0.001
<7 913 (10.7) 247 (13.9)
7–8 3,537 (41.4) 742 (41.8)
8–9 3,054 (35.7) 608 (34.3)
9–10 856 (10.0) 146 (8.2)
≥10 186 (2.2) 32 (1.8)
Daytime napping (min, M ±SD) 28.58 ± 27.50 31.46 ± 28.14 <0.001

There were two types of data presented: mean (standard deviation) or number (percentage). In order to calculate a P-value, t-tests are used for continuous variables, and chi-square tests for categorical variables. M, mean; SD, standard deviation.