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Table 1 Univariate analysis of individual-level covariates

From: High-resolution age-specific mapping of the two-week illness prevalence rate based on the National Health Services Survey and geostatistical analysis: a case study in Guangdong province, China

Factors Reported two-week illness
(n = 15,178)
No reported illness
(n = 66,681)
p-value
Age (years)
 < 15 1353 (8.9%) 11,574 (17.4%)  < 0.001#,*
 15–29 898 (5.9%) 16,148 (24.2%)  
 30–44 1738 (11.5%) 15,492 (23.2%)  
 45–59 4262 (28.1%) 14,453 (21.7%)  
 ≥ 60 6927 (45.6%) 9014 (13.5%)  
Gender
 Male 7160 (47.2%) 34,427 (51.6%)  < 0.001*
 Female 8018 (52.8%) 32,254 (48.4%)  
Ethnicity
 Han 15,092 (99.4%) 66,265 (99.4%) 0.427
 Others 86 (0.6%) 416 (0.6%)  
Education level
 No education 1914 (12.6%) 2811 (4.2%)  < 0.001#,*
 Primary 5120 (33.7%) 11,615 (17.4%)  
 Junior 4000 (26.4%) 20,811 (31.2%)  
 Senior 1992 (13.1%) 13,158 (19.7%)  
 Bachelor or above 2152 (14.2%) 18,286 (27.4%)  
Marital status
 Unmarried 926 (6.1%) 13,118 (19.7%)  < 0.001*
 Married 10,758 (70.9%) 39,010 (58.5%)  
 Widowed 2006 (13.2%) 2093 (3.1%)  
 Divorced 101 (0.7%) 440 (0.7%)  
 Other 1387 (9.1%) 12,020 (18.0%)  
Employment status
 Employed 5915 (39.0%) 36,876 (55.3%)  < 0.001*
 Unemployed 3052 (20.1%) 3749 (5.6%)  
 Student 230 (1.5%) 4904 (7.4%)  
 Retired 5981 (39.4%) 21,152 (31.7%)  
Occupation$
 Type 1 517 (3.4%) 1894 (2.8%)  < 0.001*
 Type 2 896 (5.9%) 4369 (6.6%)  
 Type 3 625 (4.1%) 2217 (3.3%)  
 Type 4 1452 (9.6%) 8555 (12.8%)  
 Type 5 2633 (17.3%) 10,470 (15.7%)  
 Type 6 734 (4.8%) 2693 (4.0%)  
 Type 7 8321 (54.8%) 36,483 (54.7%)  
Type of household registration
 Rural 9446 (62.2%) 43,909 (65.8%)  < 0.001*
 Urban 5732 (37.8%) 22,772 (34.2%)  
Location of household registration
 In this county 14,199 (93.5%) 62,650 (94.0%) 0.048*
 Out of this county but in this province 397 (2.6%) 1613 (2.4%)  
 Out of this province 542 (3.6%) 2186 (3.3%)  
 Undetermined 40 (0.3%) 232 (0.3%)  
  1. #Wilcoxon rank-sum test. All other analyses were conducted using the χ2 test
  2. *Significant
  3. $Occupation types classified in the survey: type 1, heads of organizations, enterprises or institutions; type 2, professionals or technicians; type 3, civil servants; type 4, business/service workers; type 5, agricultural, forestry, animal husbandry, fishery or water conservancy production workers; type 6, production and transportation equipment operators; and type 7, soldiers or others