Table 1.

Demographic and pregnancy characteristics of participants in a case-control study of medulloblastoma/PNET in children ages 0 to 6 years

CharacteristicsCase, n (%)Control, n (%)P*
Mother's race315 (100)315 (100)0.91
    White, non-Hispanic257 (82)264 (84)
    Black, non-Hispanic16 (5)14 (4)
    Hispanic31 (10)27 (9)
    Other11 (3)10 (3)
Mother's education315 (100)315 (100)0.70
    Less than high school28 (9)37 (12)
    High school87 (28)83 (26)
    Some post-high school99 (31)105 (33)
    College graduate76 (24)67 (21)
    Professional or graduate school25 (8)23 (7)
Mother's marital status at interview315 (100)315 (100)0.35
    Married264 (84)255 (81)
    Separated, divorced, widowed28 (9)32 (10)
    Single23 (7)28 (9)
Household income297 (100)285 (100)0.06
    <$15,00042 (14)48 (17)
    $15,000-24,99949 (16)56 (20)
    $25,000-34,99953 (18)53 (19)
    $35,000-49,99967 (23)63 (22)
    $50,000-75,00052 (18)41 (14)
    >$75,00034 (11)24 (8)
Age of child at interview [mean (SD)]315 [4.9 (2.1)]315 [5.6 (2.3)]<0.001
Date interviewed in months since start of study [mean (SD)]315 [15.8 (10.6)]315 [23.5 (8.9)]<0.001
Mother's age at birth of index child [mean (SD)]315 [28.2 (5.4)]314 [28.3 (5.8)]0.97
Nausea during index pregnancy315 (100)314 (100)0.41
    Yes193 (61)203 (65)
    No122 (39)111 (35)
Vomiting during index pregnancy315 (100)314 (100)0.62
    Yes116 (37)109 (35)
    No199 (63)205 (65)
Prepregnancy weight [mean (SD)]311 [135.9 (23.6)]309 [136.4 (29.4)]0.79
Pregnancy weight gain [mean (SD)]309 [33.9 (14.2)]311 [33.0 (14.2)]0.40
Gained weight due to pregnancy nausea or vomiting311 (100)313 (100)0.006
    Yes26 (8)10 (3)
    No282 (92)301 (97)
Smoked during index pregnancy315 (100)315 (100)0.03
    Yes65 (21)90 (29)
    No250 (79)225 (71)
No. cigarettes per day during index pregnancy (smokers only) [mean (SD)]34 [8.3 (5.5)]58 [10.9 (8.3)]0.01
  • * P for case-control comparison by Fisher's exact or t test unless otherwise noted.

  • P for married versus single, separated, divorced, or widowed.

  • P based on logistic regression of income as a continuous variable using the midpoint of each category as the value.