The SELMA Study: A Birth Cohort Study in Sweden Following More Than 2000 Mother–Child Pairs

Bornehag, Carl‐Gustaf; Moniruzzaman, Syed; Larsson, Malin; Lindström, Cecilia Boman; Hasselgren, Mikael; Bodin, Anna; Kobyletzkic, Laura B. von; Carlstedt, Fredrik; Lundin, Fredrik; Nånberg, Eewa; Jönsson, Bo; Sigsgaard, Torben; Janson, Staffan

doi:10.1111/j.1365-3016.2012.01314.x

Cited by 81 publications

(71 citation statements)

References 36 publications

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“…The participation rate of 37% is consistent with participation rates of several large pregnancy cohorts. 24 As in other pregnancy cohort studies, 15 Those who responded to self-administered questionnaires and who participated in postnatal follow-up visits tended to be older, of lower parity, had higher household incomes and education levels, and were less likely to smoke. Combined with the relatively high socio-economic status of the study population, these differential response rates are likely to limit generalizability of results from this cohort, particularly in psychosocial and developmental domains.…”

Section: Commentmentioning

confidence: 80%

3D Cohort Study: The Integrated Research Network in Perinatology of Quebec and Eastern Ontario

Fraser

Shapiro

Audibert

et al. 2016

Paediatric Perinatal Epid

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Background: The 3D Cohort Study (Design, Develop, Discover) was established to help bridge knowledge gaps about the links between various adverse exposures during pregnancy with birth outcomes and later health outcomes in children. Methods: Pregnant women and their partners were recruited during the first trimester from nine sites in Quebec and followed along with their children through to 2 years of age. Questionnaires were administered during pregnancy and post-delivery to collect information on demographics, mental health and life style, medical history, psychosocial measures, diet, infant growth, and neurodevelopment. Information on the delivery and newborn outcomes were abstracted from medical charts. Biological specimens were collected from mothers during each trimester, fathers (once during the pregnancy), and infants (at delivery and 2 years of age) for storage in a biological specimen bank. Results: Of the 9864 women screened, 6348 met the eligibility criteria and 2366 women participated in the study (37% of eligible women). Among women in the 3D cohort, 1721 of their partners (1704 biological fathers) agreed to participate (73%). Two thousand two hundred and nineteen participants had a live singleton birth (94%). Prenatal blood and urine samples as well as vaginal secretions were collected for ≥98% of participants, cord blood for 81% of livebirths, and placental tissue for 89% of livebirths. Conclusions: The 3D Cohort Study combines a rich bank of multiple biological specimens with extensive clinical, life style, and psychosocial data. This data set is a valuable resource for studying the developmental etiology of birth and early childhood neurodevelopmental outcomes.

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Section: Commentmentioning

confidence: 80%

3D Cohort Study: The Integrated Research Network in Perinatology of Quebec and Eastern Ontario

Fraser

Shapiro

Audibert

et al. 2016

Paediatric Perinatal Epid

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“…Snart Gravid participants were more likely to be nonsmokers and nulliparous and less likely to be <25 or more than 34 years old. Previous studies of birth cohorts recruited using traditional methods also found that their study participants were more likely to be nulliparous, 15,16,33 nonsmoking, 13,16,33 and between 25 and 34 years old 15,16 than their source populations identified via registries. Similar to these studies, we found that most exposure–outcome associations were comparable for women who participated in our prospective cohort study and all Danish women in the Danish Medical Birth Registry, even though Snart Gravid recruited participants via the internet and the study population was confined to pregnancy planners.…”

Section: Discussionmentioning

confidence: 91%

Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners

et al. 2016

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Selection bias is a potential concern in all epidemiologic studies, but it is usually difficult to assess. Recently, concerns have been raised that internet-based prospective cohort studies may be particularly prone to selection bias. Although use of the internet is efficient and facilitates recruitment of subjects that are otherwise difficult to enroll, any compromise in internal validity would be of great concern. Few studies have evaluated selection bias in internet-based prospective cohort studies. Using data from the Danish Medical Birth Registry from 2008 to 2012, we compared six well-known perinatal associations (e.g., smoking and birth weight) in an inter-net-based preconception cohort (Snart Gravid n = 4,801) with the total population of singleton live births in the registry (n = 239,791). We used log-binomial models to estimate risk ratios (RRs) and 95% confidence intervals (CIs) for each association. We found that most results in both populations were very similar. For example, maternal obesity was associated with an increased risk of delivering a macrosomic infant in Snart Gravid (RR = 1.5; 95% CI: 1.2, 1.7) and the total population (RR = 1.5; 95% CI: 1.45, 1.53), and maternal smoking of >10 cigarettes per day was associated with a higher risk of low birth weight (RR = 2.7; 95% CI: 1.2, 5.9 vs. RR = 2.9; 95% CI: 2.6, 3.1) in Snart Gravid and the total population, respectively. We cannot be certain that our results would apply to other associations or different populations. Nevertheless, our results suggest that recruitment of reproductive aged women via the internet may be no more prone to selection bias than traditional methods of recruitment.

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“…The authors predicted that if psychiatric symptoms positively correlate with HG, then psychiatric symptoms would correlate positively with recurrence risk. As the study was based on data from an online survey, the participating women were not randomly selected among women with HG and may therefore have had a different risk profile from the women who did not participate (Bornehag et al 2012). Additionally, only women who had had at least two pregnancies lasting beyond the second trimester were included, which may introduce recall bias, e.g.…”

Section: Discussionmentioning

confidence: 99%

History of depression and risk of hyperemesis gravidarum: a population-based cohort study

Kjeldgaard

Eberhard‐Gran

Benth

et al. 2017

Arch Womens Ment Health

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Hyperemesis gravidarum (HG) is a pregnancy condition characterised by debilitating nausea and vomiting. HG has been associated with depression during pregnancy but the direction of the association remains unclear. The aim of this study was to assess whether previous depression is associated with HG. This is a population-based pregnancy cohort study using data from The Norwegian Mother and Child Cohort Study. The study reviewed 731 pregnancies with HG and 81,055 pregnancies without. Logistic regression analyses were performed to examine the association between a lifetime history of depression and hyperemesis gravidarum. Odds ratios were adjusted for symptoms of current depression, maternal age, parity, body mass index, smoking, sex of the child, education and pelvic girdle pain. A lifetime history of depression was associated with higher odds for hyperemesis gravidarum (aOR = 1.49, 95% CI (1.23; 1.79)). Two thirds of women with hyperemesis gravidarum had neither a history of depression nor symptoms of current depression, and 1.2% of women with a history of depression developed HG. A lifetime history of depression increased the risk of HG. However, given the fact that only 1.2% of women with a history of depression developed HG and that the majority of women with HG had no symptoms of depression, depression does not seem to be a main driver in the aetiology of HG.

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The SELMA Study: A Birth Cohort Study in Sweden Following More Than 2000 Mother–Child Pairs

Abstract: These findings indicate that the participating families do not fully represent the study population and thus, the exposure in this population. However, there is no obvious reason that this selection bias will have an impact on identification of environmental risk factors.

Cited by 81 publications

References 36 publications

3D Cohort Study: The Integrated Research Network in Perinatology of Quebec and Eastern Ontario

3D Cohort Study: The Integrated Research Network in Perinatology of Quebec and Eastern Ontario

Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners

History of depression and risk of hyperemesis gravidarum: a population-based cohort study

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