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 | – | – |