Abstract:
BACKGROUND:This study examined potential self-selection bias in a large pregnancy cohort by comparing exposure-outcome associations from the cohort to similar associations obtained from nationwide registry data. The outcome under study was specialist-confirmed diagnosis of autism spectrum disorders (ASDs). METHODS:The cohort sample (n = 89 836) was derived from the population-based prospective Norwegian Mother and Child Cohort Study and its substudy of ASDs, the Autism Birth Cohort (ABC) study. The nationwide registry data were derived from the Medical Birth Registry of Norway (n = 507 856). The children were born in 1999–2007, and seven prenatal and perinatal exposures were selected for analyses. RESULTS:ASDs were reported for 234 (0.26%) children in the cohort and 2072 (0.41%) in the nationwide population. Compared with the nationwide population, the cohort had an under-representation of the youngest women (<25 years), those who had single status, mothers who smoked during pregnancy, and non-users of prenatal folic acid supplements. The ratios of the adjusted odds ratios (ORs) in the cohort over the adjusted ORs in the nationwide population were as follows; primipara pregnancy: 1.39/1.22, prenatal folic acid use: 0.85/0.86, prenatal smoking: 1.20/1.17, preterm birth (<37 weeks): 1.48/1.42, low birthweight (<2500 g): 1.60/1.58, male sex: 4.39/4.59 (unadjusted only); and caesarean section history: 1.03/1.04. CONCLUSIONS:Associations estimated between ASDs and perinatal and prenatal exposures in the cohort are close to those estimated in the nationwide population. Self-selection does not appear to compromise validity of exposure-outcome associations in the ABC study.
journal_name
Paediatr Perinat Epidemioljournal_title
Paediatric and perinatal epidemiologyauthors
Nilsen RM,Surén P,Gunnes N,Alsaker ER,Bresnahan M,Hirtz D,Hornig M,Lie KK,Lipkin WI,Reichborn-Kjennerud T,Roth C,Schjølberg S,Smith GD,Susser E,Vollset SE,Øyen AS,Magnus P,Stoltenberg Cdoi
10.1111/ppe.12077subject
Has Abstractpub_date
2013-11-01 00:00:00pages
553-63issue
6eissn
0269-5022issn
1365-3016journal_volume
27pub_type
杂志文章abstract:BACKGROUND:Obesity, a body mass index (BMI) ≥30 kg/m2 , is linked to infertility, potentially through a greater risk of anovulation due to elevated androgens. Yet, previous studies have not directly assessed the impact of adiposity, or body fat, on anovulation in the absence of clinical infertility. OBJECTIVE:To chara...
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journal_title:Paediatric and perinatal epidemiology
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journal_title:Paediatric and perinatal epidemiology
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