Skip to main content

Table 1 Distribution of the main variables between cases and controls

From: Risk of lymphoma subtypes by occupational exposure in Southern Italy

   Cases Controls Proportions test
Variables Tot n % n % z P
Age
 Less than 20 years 7 6 3.8 1 1.3 0.5 0.3
 21–40 years 55 37 23.4 18 23.7 0.0 0.5
 41–60 years 72 46 29.1 26 34.2 −0.4 0.7
 More than 60 years 100 69 43.7 31 40.8 0.3 0.4
Gender
 Females 94 64 40.5 30 39.5 0.1 0.5
 Males 140 94 59.5 46 60.5 0.1 0.5
Province of residence
 Bari 154 103 65.2 51 67.1 −0.3 0.6
 Taranto 67 44 27.9 23 30.3 0.2 0.4
 Others 13 11 7.0 2 2.6 0.2 0.4
Title of study
 Degree 38 27 17.1 11 14.5 0.2 0.4
 High school 86 54 34.2 32 42.1 0.6 0.3
 Middle school 64 43 27.2 21 27.6 0.0 0.5
 Primary school 46 34 21.5 12 15.8 0.4 0.3
Jobs
 Housewife 16 11 7.0 5 6.6 0.0 0.5
 Physician 3 3 1.9 0 0.0
 Blue collar 74 50 31.7 24 31.6 0.0 0.5
 Nurse 1 1 0.6 0 0.0
 Teacher 17 9 5.7 8 10.5 −0.4 0.6
 Researcher 2 2 1.3 0 0.0
 Craftsman/Merchant 13 11 7.0 2 2.6 0.2 0.4
 Agricultural workers 18 14 8.9 4 5.3 0.2 0.4
 White collar 43 28 17.7 15 19.7 −0.2 0.6
 Military 10 5 3.2 5 6.6 −0.2 0.6
 Student/Unemployed/Retired 3 3 1.9 0 0.0
 Freelancer 8 2 1.3 6 7.9 −0.3 0.6
 Technical 5 2 1.3 3 4.0 −0.2 0.6
 Missing 21 17 10.8 4 5.3
Totals 234 158 100 76 100
  1. Legend
  2. Z = The z-score test for the two proportions is used when you want to know whether two groups differ significantly in some characteristics