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Table 1 Characteristics at the time of entry into the Swiss National Cohort of the children included and excluded from analyses

From: Parental occupational exposure to pesticides and risk of childhood cancer in Switzerland: a census-based cohort study

Characteristics Maternal exposure Paternal exposure Excluded from analysis1
n % n % n %
Total 1,807,902 100 1,700,149 100 172,974 100
Sex       
Female 882,885 48.8 829,089 48.8 82,926 47.9
Children age at entry (years)
 0–4 681,683 37.7 652,023 38.4 58,498 33.8
 5–9 671,441 37.1 628,993 37.0 73,083 42.3
 10–14 454,778 25.2 419,133 24.7 41,393 23.9
Education of reference person2 in the household
 Compulsory education or less 315,095 17.4 275,748 16.2 42,878 24.8
 Upper secondary level education 929,231 51.4 873,756 51.4 50,403 29.1
 Tertiary level education 543,703 30.1 538,377 31.7 23,921 13.8
 Not known 19,873 1.1 12,268 0.7 55,772 32.2
Swiss-SEP3
 Q1 480,442 26.6 447,167 26.3 54,900 31.7
 Q2 371,151 20.5 349,556 20.6 34,861 20.2
 Q3 343,012 19.0 323,173 19.0 28,202 16.3
 Q4 322,421 17.8 304,985 17.9 22,717 13.1
 Q5 275,612 15.2 262,061 15.4 16,620 9.6
 missing 15,264 0.8 13,207 0.8 15,674 9.1
Degree of urbanization
 Urban 422,132 23.3 375,466 22.1 55,893 32.3
 Semi-urban 834,780 46.2 784,674 46.2 72,060 41.7
 Rural 550,990 30.5 540,009 31.8 45,021 26.0
Parents’ occupational exposure to pesticides
 High likelihood (≥70% of people exposed) 53,074 2.9 113,784 6.7 NA
 Moderate likelihood (≥25 to 70%) 1233 0.1 30,717 1.8
 Limited likelihood (≥10 to 25%) 31,838 1.8 104,304 6.1
 No or minimal likelihood (< 10%) 1,721,757 95.2 1,451,344 85.4
  1. Data represent number of children and column percentages (in italic). NA: data not available. P-values of chi-squared tests for differences between included and excluded children were < 0.001 for all socio-demographic characteristics)
  2. 1Children were excluded from both analyses if neither their father nor mother could be identified or could not be assigned an exposure due to missing or non-classifiable job titles (Fig. 1)
  3. 2Person that contributes the most to the income of the household
  4. 3The SEP-index is an area-based measure of socio-economic position for Switzerland, estimated in neighbourhoods of 50 households with a principal component analysis of four socio-economic variables, with data from census 200026