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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