Hyperemesis gravidarum and pregnancy outcomes in the Norwegian mother and child cohort – a cohort study
© Vikanes et al.; licensee BioMed Central Ltd. 2013
Received: 22 February 2013
Accepted: 29 August 2013
Published: 3 September 2013
Hyperemesis gravidarum (HG) characterized by excessive nausea and vomiting in early pregnancy, is reported to be associated with increased risks for low birthweight (LBW), preterm birth (PTB), small-for-gestational-age (SGA) and perinatal death. Conflicting results in previous studies underline the necessity to study HG’s potential effect on pregnancy outcomes using large cohorts with valid data on exposure and outcome measures, as well as potential confounders. This study aims to investigate associations between HG and adverse pregnancy outcomes using the Norwegian Mother and Child Cohort Study (MoBa).
All singleton pregnancies in MoBa from 1998 to 2008 were included. Multivariable regression was used to estimate relative risks, approximated by odds ratios, for PTB, LBW, SGA and perinatal death. Linear regression was applied to assess differences in birthweight and gestational age for children born to women with and without HG. Potential confounders were adjusted for.
Altogether, 814 out of 71,468 women (or 1.1%) had HG. In MoBa HG was not associated with PTB, LBW or SGA. Babies born to women with HG were born on average 1 day earlier than those born to women without HG; (−0.97 day (95% confidence intervals (CI): -1.80 - -0.15). There was no difference in birthweight when maternal weight gain was adjusted for; (23.42 grams (95% CI: -56.71 - 9.86). Babies born by women with HG had lower risk for having Apgar score < 7 after 1 minute (crude odds ratio was 0.64 (95% CI: 0.43 - 0.95)). No differences between the groups for Apgar score < 7 after 5 minutes were observed. Time-point for hospitalisation slightly increased differences in gestational age according to maternal HG status.
HG was not associated with adverse pregnancy outcomes. Pregnancies complicated with HG had a slightly shorter gestational length. There was no difference in birth weight according to maternal HG-status. HG was associated with an almost 40% reduced risk for having Apgar score < 7 after 1 minute, but not after 5 minutes. The clinical importance of these statistically significant findings is, however, rather limited.
KeywordsHyperemesis gravidarum The Norwegian Mother and Child Cohort Study Birth weight Gestational age Preterm birth Low birthweight Small for gestational age Apgar score Perinatal death Maternal weight gain
Most women experience nausea and vomiting in early pregnancy (NVP) . In contrast, hyperemesis gravidarum (HG) is a potentially life-threatening condition that occurs in between 0.8% and 3.2% [2, 3]. The 10th edition of International Classification of Diseases (ICD 10) differentiates between mild (O21.0) and severe forms of HG (O21.1) . The underlying mechanisms for HG remain unknown, although previous research has suggested genetic factors to be involved . It is not yet clear whether maternal genes or environmental factors are the main contributing factors. Increased levels of human chorionic gonadotropin (hCG), oestrogen and leptin have been found to be associated with HG, as have increased levels of fetal DNA in maternal blood; the latter indicating damage of the feto-maternal barrier [1, 6–8].
HG has been reported to be associated with low birthweight (LBW), preterm birth (PTB), small-for-gestational-age (SGA), perinatal death and prolonged stay in hospital for the new-born infant [9–12]. A recent meta-analysis on HG and pregnancy outcomes, comprising 13 case–control studies, 10 cohort studies and one cross-sectional study, reported that HG was associated with a 30% increase in risk for PTB and SGA, and a 40% increase in risk for LBW . A Dutch historical cohort study among 1.2 million singleton births found HG to increase the risk for PTB by 18%, but did not find HG associated with SGA and LBW . The same study, however, did report a slight difference in birthweight among children born to women with and without HG . In contrast, an Canadian cohort study of 156,000 singleton pregnancies reported that women with HG gaining less than 7 kg during pregnancy had a threefold increase in risk for PTB, an almost threefold increase in risk for LBW and a fivefold increase in risk for a 5 minute Apgar score < 7 . For women with HG and weight gain ≥ 7 kg, there was no increase in risk for adverse pregnancy outcomes. An American cohort study among 520,000 live births found that infants of women with HG had significantly lower birthweight and were more likely to be SGA .
Conflicting results in previous studies can be explained by heterogeneity of methods, definitions and confounders, in addition to the fact that most of the evidence still comes from case–control studies. Based on this, there is a need to study HG’s potential effect on pregnancy outcomes using large cohorts with valid data on both exposure and outcome measures as well as potential confounders. The aim of our study is therefore to explore associations between HG and adverse pregnancy outcomes using the Norwegian Mother and Child Cohort Study (MoBa) comprising 108,000 births.
Population under study
This study is a subproject in MoBa. The recruitment to MoBa occurred from 1998 to 2008. MoBa’s target population consisted of all women attending antenatal care in Norway, and the participation rate was about 40% . Women were sent an invitation to participate and a written consent form simultaneously as their appointment for the routine second trimester ultrasound. Our analyses are based on three questionnaires, one received in pregnancy week 13–17 (Q1), one in week 30 (Q3) and one four to six months after birth (Q4) . Q1 provided background factors, exposures and health variables. Q3 included information on health during pregnancy. In Q4 the main themes were maternal health around the birth and the time immediately after. English translations of the questionnaires can be found at http://www.fhi.no/moba. The study has been approved by the Data Inspectorate and the Regional Committee for Medical and Health Research Ethics. The birth record from the Medical Birth Registry of Norway (MBRN) is a part of the MoBa database. In Norway, notification of all live births and stillbirths from the 12th week of gestation is mandatory and information has to be sent to MBRN within one week after delivery . We included singleton pregnancies only.
We excluded records with missing data on birthweight (n = 63), on gestational age (n = 349), on Apgar scores after 1 and 5 minutes (n = 194 and n = 181), on body mass index (BMI) (n = 13,556), on education (n = 4,620), and on smoking habits (n = 1,524). There was no missing data on maternal age and parity. Moreover, we also excluded children born < 22nd gestational week (n = 7) and ≥ 43rd gestational week (n = 231) and those weighing < 500 grams (n = 10) or ≥ 6000 grams (n = 7). Women with implausible values on weight and height were excluded; those reporting height < 120 cm (n = 198), missing height (n = 795) and those weighing less than 40 kg (n = 47) or more than 150 kg (n = 11) or missing weight (n = 1975) or reported weight gain during pregnancy to be > 50 kg (n = 35) or < −20 kg (n = 43). No one reported to be taller than 200 cm. The final sample consisted of 71,468 pregnancies or 78.4% of the sample.
Given the structure of the questionnaires, the exposure variable, HG, was defined as long-lasting nausea and vomiting in pregnancy starting before the 25th gestational week and necessitating hospitalisation as reported in Q3 in MoBa. Sub-analyses have previously shown that 74% were first hospitalised during first trimester, and 25% were first admitted later in pregnancy . These findings are is in line with a recent study from Sweden on HG and pregnancy outcomes based on hospital data .
The main outcome variables were gestational age, birthweight, LBW defined as birthweight < 2500 grams, PTB defined as gestational age < 37 gestational weeks, SGA defined as birthweight below the 10th percentile for the gestational age, perinatal death defined as death during the perinatal period (lasting from ≥ 22nd gestational week until the 7th day after birth), Apgar score after 1 minute and after 5 minutes; all obtained from MBRN.
Data on pre-pregnant BMI, parity and education were obtained from Q1. Information about maternal weight gain during pregnancy was obtained from Q1 and Q4. Data on smoking in pregnancy was obtained from Q1 and Q3, where the women registered whether they smoked on a daily basis, occasionally or did not smoke. Information on concomitant diseases such as asthma, diabetes 1, thyroid disorders, depression, anxiety, other psychological problems, anaemia, vitamin B12 deficiency and anorexia was obtained from Q1. This questionnaire included a checklist for 53 diseases or health problems, which was prefaced with ‘did you have any of these diseases or health problems before or in pregnancy?’ The diseases mentioned above were selected since previous studies have showed associations with HG [1, 20, 21].
Maternal age was categorised into 5 groups: younger than 20 years, 20–24 years, 25–29 years, 30–34 years and 35 years and older. By parity, women were dichotomised into nullipara and multipara. A proxy for socioeconomic status (SES) was the woman’s length of education in years categorised into 4 groups: < 12 years, 12 years, 13–16 years and ≥ 17 years. Smoking before pregnancy was categorized as no smoking and smoking including both daily and occasional smoking. BMI was grouped into 4 categories: < 18.5 kg/m2, 18.5-24.9 kg/m2, 25.0-29.9 kg/m2 and ≥ 30.0 kg/m2. Maternal weight gain during pregnancy was categorised < 0 kg, 0–6.9 kg, 7.0-14.9 kg, 15.0-19.9 kg, ≥ 20.0 kg and missing. Time-point for hospitalisation was divided into three groups: first trimester, second trimester and first-and-second trimester. Concomitant diseases, such as diabetes, Type 1 diabetes, thyroid diseases, depression, anxiety, other psychological problems, anaemia, vitamin B12 deficiency and anorexia were dichotomised into no and yes for each disease.
Since 12,460 women contributed with more than one pregnancy, some of the data cannot be considered to be independent. Consequently, all analyses were done with generalized estimation equations (GEE) employing an independent correlation structure to obtain valid standard errors. Associations between HG and LBW, PTB, SGA and Apgar score < 7 after 1 minute and 5 minutes were studied by GEE. Crude (cOR) and adjusted (aOR) odds ratios with 95% confidence intervals (CI) were calculated. In addition, the effects of HG on birthweight and gestational age as continuous variables were studied by multiple linear regressions.
Three sets of adjustments were performed in multivariable analyses; the first included socio-demographic data as well as induction and gestational age for birthweight and Apgar score after 1 and 5 minutes. The second adjustment included concomitant medical conditions. Thirdly, we adjusted for maternal weight gain during pregnancy.
No interactions were found between HG and any other variable, suggesting no heterogeneity of the effect of HG on pregnancy outcomes. All analyses were performed using R version 2.12.1 with library geepack for GEE analyses.
Prevalence of hyperemesis gravidarum (HG) with 95% confidence intervals (95% CI) according to background characteristics (N = 71,468)
HG (%) (95% CI)
< 20 years
≥ 35 years
Body mass index
< 18.5 (kg/m2)
≥ 30.0 (kg/m2)
< 12 years
≥ 17 years
Weight gain during pregnancy
< 0 kg
0 - 6.9 kg
7.0 - 14.9 kg
15.0 - 19.9 kg
≥ 20 kg
Differences in birthweight and gestational age for offspring of mothers with and without hyperemesis gravidarum (N = 71,468)
N = 71,468
β [95% CI]
β [95% CI]*
β [95% CI]***
β [95% CI]****
No hyperemesis (HG)
−34.46 (−72.84 - 3.93 )
−46.89 (−80.53 -13.26)**
−47.57 (−79.92- -13.21)**
−23.42 (−56.71- 9.86 )**
−1.68 (−2.53- -0.84 )
−1.50 (−2.34- -0.67 )
-1.38 (−2.21- -0.55)
-0.97 (−1.80- -0.15 )
Differences in birth weight and gestational age with 95% confidence intervals according to hospitalisation time-points (N = 71,425*)
N = 71,425
β (95% CI)
β (95% CI)**
β (95% CI)****
β (95% CI)*****
No hyperemesis (HG)
HG 1. Trimester
−10.67 (−60.2 – 38.83)
−30.57 (−74.57 – 13.42) ***
−31.55 (−75.42 – 12.32) ***
−15.32 (−58.96 – 28.31) ***
HG 2. Trimester
−95.29 (−178.4 – -12.18)
−85.68 (−155.8 – -15.61) ***
−85.86 (−155.2 – -16.49) ***
−49.15 (−117.8 – 19.49) ***
HG 1. and 2. trimester
−39.02 (−139.9 – 61.83)
−91.20 (−176.9 – -5.48) ***
−92.46 (−178.2 – -6.72) ***
−51.06 (−138.2 – 36.11) ***
HG 1. Trimester
−1.29 (−2.31 – -0.28)
−1.12 (−2.15 – -0.10)
−1.05 (−2.07 – -0.03)
−0.79 (−1.80 – 0.23)
HG 2. trimester
−2.10 (−4.14 – -0.06)
−1.90 (−3.91 – 0.10)
−1.72 (−3.68 – 0.25)
−1.08 (−3.04 – 0.88)
HG 1. and 2. trimester
−2.56 (−4.89 – -0.24)
−2.39 (−4.70 – -0.08)
−2.22 (−4.53 – 0.09)
−1.57 (−3.89 – 0.75)
Risk of adverse pregnancy outcomes with 95% confidence intervals according to hyperemesis gravidarum (N = 71,468)
Prevalence (%) (95% CI)
Crude odds ratio (95% CI)
Adjusted odds ratio (95% CI)*
Adjusted odds ratio (95% CI)***
Adjusted odds ratio (95% CI)****
Gestational age < 37 weeks
No hyperemesis (HG)
4.4 (4.3- 4.6)
5.3 (5.1- 5.4)
Birthweight < 2500 grams
2.5 (2.4- 2.6)
2.5 (2.3- 2.6)
Small for gestational age
9.5 (9.3- 9.7)
9.6 (9.4- 9.8)
Apgar score after 1 minute < 7
Apgar score after 5 minutes < 7
1.2 (1.1- 1.3)
0.2 (0.2- 0.3)
Women with HG gained on average 12.7 kilos during pregnancy, compared to 14.9 kilos for women without HG.
The main finding of our study is that HG requiring hospitalisation was not associated with increased risks for PTB, LBW or SGA. Pregnancies complicated with HG had a slightly shorter gestational length. There was no difference in birth weight according to maternal HG-status. Time-point for hospitalisation did not influence birthweight or gestational age. Moreover, HG was associated with lower risk for having Apgar score < 7 after 1 minute, whereas there was no difference in risks for Apgar < 7 score after 5 minutes. The clinical relevance of these findings is, however, limited.
Strengths and limitations
The major strength of our study is that it has data on the main exposure and confounders from a large, nationwide pregnancy cohort. Furthermore, previous research has proven that the validity of the data in MoBa to be high [22–24]. Information on pregnancy outcomes were obtained from MBRN comprising data validity earlier described as sufficient for large scale epidemiologic research [25, 26]. Altogether, the two different sets of data provide a unique opportunity to study possible effects of HG on pregnancy outcomes. To some extent MoBa suffers from selection bias as the women included are older, have more education, smoke less and are less likely to be immigrants compared to the Norwegian population at large . Nilsen et al. reported in a study on MoBa and selection bias that the prevalence of conditions could be affected by selection bias, but that there was no evidence that the selection bias affected the associations studied . If the validity of the observed association between HG and pregnancy outcomes should be affected by selection bias, it would require differential selection of participants related to both HG and pregnancy outcomes studied, something not considered in this study. Thus it is inconceivable that data on pregnancy outcomes from MBRN, compulsory obtained after recruitment, could be directly associated with selection to the study. Since all citizens of Norway have access to hospitals free of charge, there should be little selection to in-patient care based on economic resources of the single patient. Furthermore, as HG is associated with ethnicity, it is unfortunate that we did not have information on maternal country of birth in MoBa. However, only 5.6% of the participants reported not to have Norwegian as mother tongue. Adjustment for mother tongue did not influence our estimates.
Comparison with other studies
Unlike the previously mentioned meta-analysis including more than 50% case–control studies, we did not find HG to be associated with an increased risk of PTB, LBW and SGA . The heterogeneity described in the meta-analysis is, however, a consequence of methodological as well as clinical differences between the studies. The clinical heterogeneity was mainly related to difficulties in defining HG. The use of different diagnostic criteria may reflect that so far there is no universally accepted definition of HG, indicating that other pregnancy related conditions may have been confused with HG. Some studies had used hospital admission as a criterion, others the 8th or 9th version of the International Classification of Disease (ICD) or Fairweather’s diagnostic criteria from 1968 that included dehydration, electrolyte disturbances, ketonuria and more than 5% weight loss compared to prepregnancy weight [4, 9, 28]. Due to the structure of MoBa’s questionnaires, HG was in our study defined as long-lasting nausea and vomiting in pregnancy starting before the 25th gestational week which required hospitalisation. In line with previous studies, more than 70% of the women with HG in MoBa were hospitalised during the first 12 weeks [18, 19]. In contrast to the recent Swedish publication, time-point for hospitalisation did not influence the estimates in our study . In Norway, only women with HG and metabolic disturbances are being hospitalised, indicating that our sample includes severe HG only (or ICD 10 code O21.1). This assumption suggests that our sample was not diluted with other pregnancy related conditions, such as the more common “nausea and vomiting in pregnancy” (NVP), which up to 90% of all pregnant women suffer from . However, dilution may have been a problem in the large study based on the Dutch Perinatal Registry, describing that 34% was having HG diagnoses set by midwifes in the absence of hospitalisation . The prevalence of HG in the Dutch study was 0.2%, which is lower than in other European studies. The authors questioned the quality of their own dataset, suggesting an underreporting of the disease. Also; HG was associated with near to 40% increase in risk for PTB, and about 10% increase in risk for SGA . When maternal characteristics, such as age, parity, ethnicity, socio-economic status and concomitant diseases were adjusted for, only PTB remained associated with HG. However, several relevant confounders, such as BMI and smoking, were not adjusted for. Another study based on Swedish births between 1973 and 1982 reported a HG prevalence of 0.3% . These women were more likely to give birth before 38 gestational weeks and to deliver children with LBW. The abovementioned American cohort study among more than 500,000 live births found a HG prevalence of 0.5%, where HG was associated with SGA and LBW . The two latter studies reported univariate analyses only.
In contrast, a Canadian historical birth cohort study of 156,000 pregnancies, using hospital admission before the 24th gestational week as a diagnostic criterion for HG, found a prevalence of HG of 1.0%, which is similar to our study . The HG diagnosis was based on Fairweather’s diagnostic criteria, and information on most relevant confounders was available. Unlike our study, HG was found to be associated with an increased risk of PTB, LBW, SGA and Apgar score < 7 after 5 minutes, but only for women with maternal weight gain during pregnancy < 7 kg. The relative risks were 3.0, 2.8, 1.5 and 5.0, respectively. In MoBa 25% of the women in our study had missing data on maternal weight gain. Since these women had significantly higher risk of adverse pregnancy outcomes, we adjusted for maternal weight gain instead of stratifying similar to the Canadian study. Additional sub-analysis, where women with missing data on weight gain were excluded and the remaining sample was stratified according to whether the women gained less than 7 kilos or 7 kilos and more, did not change our estimates.
Maternal weight gain and body composition have, regardless of maternal HG-status, been thoroughly investigated as possible predictors for gestational age and birth weight [31, 32]. A recent metanalysis of 55 studies, 37 cohort and 18 case–control including 3.5 million women, reported that low total gestational weight gain was associated with increased risks for PTB, LBW and intrauterine growth retardation (IUGR) and lower mean birth weight . In this perspective, the associations between HG and adverse pregnancy outcomes reported in previous research may be explained by poor maternal weight gain rather than the mother suffering from HG [9, 12]. Moreover, an American case–control study found women with HG to gain on average 4.6 kg less during pregnancy, and to deliver babies who weighed on average 291 grams less compared to those born from healthy women . In MoBa women with HG gained on average 2.2 kg less than women without HG, but their babies did not have lower birth weight. However, they were born on average one day earlier. In contrast, a Norwegian institution-based case–control study reported that the 175 women hospitalised with HG gained on average 5.1 kg less than women without HG, their babies to be born 0.5 day earlier and weigh on average 138 grams less . Birthweight was positively associated with maternal weight in early pregnancy, weight gain during pregnancy and parity, but not HG. This is partly in line with our study, where stepwise regression showed that differences in birth weight between babies born to women with and without HG disappeared when maternal weight gain was adjusted for. In the other study, almost 50% of the cases and more than 20% of controls had non-Norwegian names, which is different from MoBa . Immigrant women in Norway are more likely to develop HG and have higher risks of adverse pregnancy outcomes such as IUGR and perinatal death [3, 34, 35]. It is not yet known if immigrant women with HG have more severe symptoms and gain less weight during pregnancy compared to ethnic Norwegians. Differences in results between the studies might be explained by differences in ethnic background among the women included. The results of our study may therefore not be generalisable for the total population of Norway. Since HG is not found associated with adverse pregnancy outcomes, our results might reflect good antenatal care and treatment of women hospitalised with HG participating in MoBa.
Whereas the 1 minute Apgar score reflects the immediate need for resuscitation, the 5 minute Apgar score has more a prognostic value . Most studies therefore report Apgar score after 5 minutes, since this information is reckoned to be of higher clinical importance [37, 38]. In our study, the children of women with HG had about 40% lower risk of Apgar score < 7 after 1 minute, but there was no difference in risk for Apgar score < 7 after 5 minutes. It is highly unlikely that this is an effect of corticosteroids administered to relieve symptoms in women with refractory HG during the first or second trimester [29, 39]. Corticosteroids administered before 23rd gestational week is not known to have any effect on the fetal lung . Accordingly, the 40% reduction of Apgar score in our study might reflect underlying mechanisms for HG rather than consequence of treatment. The clinical importance of this statistical significant finding, however, is considered limited.
Although HG in our study did not have any negative short-term consequences for the offspring, the possibility for long-term consequences have barely been studied. Previous research has shown that metabolic changes in women with HG might resemble those resulting from starvation . Given the fact that fetal undernutrion during first trimester is associated with cardiovascular disease, diabetes and schizophrenia in later life, HG may also influence disease patterns [41, 42].
In MoBa HG requiring hospitalisation was not associated with adverse pregnancy outcomes. Pregnancies complicated with HG had slightly shorter gestational length. However, there was no difference in birth weight according to maternal HG-status. Additionally, HG was associated with a decreased risk for delivering a child with Apgar score < 7 after 1 minute, but no difference was observed after 5 minutes. The clinical relevance of these statistically significant findings is rather limited, other than comforting the mothers-to-be by informing them that HG does not seem to increase the risk for PTB or having a child with LBW and SGA or low Apgar scores.
- 95% CI:
95% confidence interval
Low birth weight
Medical Birth Registry of Norway
The Norwegian Mother and Child Cohort Study
Small for gestational age.
This study was supported by the Norwegian Research Council, grant no: 166145/V50.
- Verberg MF, Gillott DJ, Al Fardan N, Grudzinskas JG: Hyperemesis gravidarum, a literature review. Hum Reprod Update. 2005, 11: 527-539. 10.1093/humupd/dmi021.View ArticlePubMedGoogle Scholar
- Eliakim R, Abulafia O, Sherer DM: Hyperemesis gravidarum: a current review. Am J Perinatol. 2000, 17: 207-218. 10.1055/s-2000-9424.View ArticlePubMedGoogle Scholar
- Vikanes ÅV, Grjibovski A, Vangen S, Magnus P: Variations in prevalence of hyperemesis gravidarum by country of birth: a study of 900,074 births in Norway, 1967–2005. Scand J Public Health. 2008, 36: 135-142. 10.1177/1403494807085189.View ArticlePubMedGoogle Scholar
- Internation Classification of Diseases – ICD: Wolfbane Cybernetic Ltd. 2007, Oxford, UK, URL: http://www.wolfbane.com/icd/index.html Google Scholar
- Vikanes A, Skjaerven R, Grjibovski AM, Gunnes N, Vangen S, Magnus P: Recurrence of hyperemesis gravidarum across generations: population based cohort study. BMJ. 2010, 340: c2050-PubMedPubMed CentralGoogle Scholar
- Sugito Y, Sekizawa A, Farina A, Yukimoto Y, Saito H, Iwasaki M, et al: Relationship between severity of hyperemesis gravidarum and fetal DNA concentration in maternal plasma. Clin Chem. 2003, 49: 1667-1669. 10.1373/49.10.1667.View ArticlePubMedGoogle Scholar
- Sekizawa A, Sugito Y, Iwasaki M, Watanabe A, Jimbo M, Hoshi S, et al: Cell-free fetal DNA is increased in plasma of women with hyperemesis gravidarum. Clin Chem. 2001, 47: 2164-2165.PubMedGoogle Scholar
- Hahn S, Huppertz B, Holzgreve W: Fetal cells and cell free fetal nucleic acids in maternal blood: new tools to study abnormal placentation?. Placenta. 2005, 26: 515-526. 10.1016/j.placenta.2004.10.017.View ArticlePubMedGoogle Scholar
- Dodds L, Fell DB, Joseph KS, Allen VM, Butler B: Outcomes of pregnancies complicated by hyperemesis gravidarum. Obstet Gynecol. 2006, 107: 285-292. 10.1097/01.AOG.0000195060.22832.cd.View ArticlePubMedGoogle Scholar
- Paauw JD, Bierling S, Cook CR, Davis AT: Hyperemesis gravidarum and fetal outcome. JPEN J Parenter Enteral Nutr. 2005, 29: 93-96. 10.1177/014860710502900293.View ArticlePubMedGoogle Scholar
- Bailit JL: Hyperemesis gravidarium: epidemiologic findings from a large cohort. Am J Obstet Gynecol. 2005, 193: 811-814. 10.1016/j.ajog.2005.02.132.View ArticlePubMedGoogle Scholar
- Gross S, Librach C, Cecutti A: Maternal weight loss associated with hyperemesis gravidarum: a predictor of fetal outcome. Am J Obstet Gynecol. 1989, 160: 906-909. 10.1016/0002-9378(89)90307-4.View ArticlePubMedGoogle Scholar
- Veenendaal MV, van Abeelen AF, Painter RC, van der Post JA, Roseboom TJ: Consequences of hyperemesis gravidarum for offspring: a systematic review and meta-analysis. BJOG. 2011, 118: 1302-1313. 10.1111/j.1471-0528.2011.03023.x.View ArticlePubMedGoogle Scholar
- Roseboom TJ, Ravelli AC, van der Post JA, Painter RC: Maternal characteristics largely explain poor pregnancy outcome after hyperemesis gravidarum. Eur J Obstet Gynecol Reprod Biol. 2011, : -
- Magnus P, Irgens LM, Haug K, Nystad W, Skjaerven R, Stoltenberg C: Cohort profile: the Norwegian mother and child cohort study (MoBa). Int J Epidemiol. 2006, 35: 1146-1150. 10.1093/ije/dyl170.View ArticlePubMedGoogle Scholar
- The Norwegian Mother and Child Cohort: 2008, Norwegian Institute of Public Health, URL: http://www.fhi.no/studier/den-norske-mor-og-barn-undersokelsen/sporreskjemaer
- Irgens LM: The medical birth registry of Norway. Epidemiological research and surveillance throughout 30 years. Acta Obstet Gynecol Scand. 2000, 79: 435-439. 10.1080/j.1600-0412.2000.079006435.x.View ArticlePubMedGoogle Scholar
- Vikanes A, Grjibovski AM, Vangen S, Gunnes N, Samuelsen SO, Magnus P: Maternal body composition, smoking, and hyperemesis gravidarum. Ann Epidemiol. 2010, 20: 592-598. 10.1016/j.annepidem.2010.05.009.View ArticlePubMedGoogle Scholar
- Bolin M, Akerud H, Cnattingius S, Stephansson O, Wikstrom A: Hyperemesis gravidarum and risks of placental dysfunction disorders: a population-based cohort study. BJOG. 2013, 120: 541-547. 10.1111/1471-0528.12132.View ArticlePubMedPubMed CentralGoogle Scholar
- Fell DB, Dodds L, Joseph KS, Allen VM, Butler B: Risk factors for hyperemesis gravidarum requiring hospital admission during pregnancy. Obstet Gynecol. 2006, 107: 277-284. 10.1097/01.AOG.0000195059.82029.74.View ArticlePubMedGoogle Scholar
- Torgersen L, Von Holle A, Reichborn-Kjennerud T, Berg CK, Hamer R, Sullivan P, et al: Nausea and vomiting of pregnancy in women with bulimia nervosa and eating disorders not otherwise specified. Int J Eat Disord. 2008, 41: 722-727. 10.1002/eat.20564.View ArticlePubMedPubMed CentralGoogle Scholar
- Kvalvik LG, Nilsen RM, Skjaerven R, Vollset SE, Midttun O, Ueland PM, et al: Self-reported smoking status and plasma cotinine concentrations among pregnant women in the Norwegian Mother and Child Cohort Study. Pediatr Res. 2012, 72: 101-107. 10.1038/pr.2012.36.View ArticlePubMedPubMed CentralGoogle Scholar
- Brantsaeter AL, Haugen M, Alexander J, Meltzer HM: Validity of a new food frequency questionnaire for pregnant women in the Norwegian mother and child cohort study (MoBa). Matern Child Nutr. 2008, 4: 28-43.View ArticlePubMedGoogle Scholar
- Furu K, Karlstad Ø, Skurtveit S, Håberg SE, Nafstad P, London SJ, et al: High validity of mother-reported use of antiasthmatics among children: a comparison with a population-based prescription database. J Clin Epidemiol. 2011, 64: 878-884. 10.1016/j.jclinepi.2010.10.014.View ArticlePubMedPubMed CentralGoogle Scholar
- Baghestan E, Bordahl PE, Rasmussen SA, Sande AK, Lyslo I, Solvang I: A validation of the diagnosis of obstetric sphincter tears in two Norwegian databases, the medical birth registry and the patient administration system. Acta Obstet Gynecol Scand. 2007, 86: 205-209. 10.1080/00016340601111364.View ArticlePubMedGoogle Scholar
- Rasmussen S, Albrechtsen S, Irgens LM, Dalaker K, Maartmann-Moe H, Vlatkovic L, et al: Unexplained antepartum fetal death in Norway, 1985–97: diagnostic validation and some epidemiologic aspects. Acta Obstet Gynecol Scand. 2003, 82: 109-115. 10.1034/j.1600-0412.2003.00009.x.View ArticlePubMedGoogle Scholar
- Nilsen RM, Vollset SE, Gjessing HK, Skjaerven R, Melve KK, Schreuder P, et al: Self-selection and bias in a large prospective pregnancy cohort in Norway. Paediatr Perinat Epidemiol. 2009, 23: 597-608. 10.1111/j.1365-3016.2009.01062.x.View ArticlePubMedGoogle Scholar
- Hallak M, Tsalamandris K, Dombrowski MP, Isada NB, Pryde PG, Evans MI: Hyperemesis gravidarum. Effects on fetal outcome. J Reprod Med. 1996, 41: 871-874.PubMedGoogle Scholar
- Jarvis S, Nelson-Piercy C: Management of nausea and vomiting in pregnancy. BMJ. 2011, 342: d3606-10.1136/bmj.d3606.View ArticlePubMedGoogle Scholar
- Källen B: Hyperemesis during pregnancy and delivery outcome: a registry study. Eur J Obstet Gynecol Reprod Biol. 1987, 26: 291-302. 10.1016/0028-2243(87)90127-4.View ArticlePubMedGoogle Scholar
- Han Z, Lutsiv O, Mulla S, Rosen A, Beyene J, McDonald SD, et al: Low gestational weight gain and the risk of preterm birth and low birthweight: a systematic review and meta-analyses. Acta Obstet Gynecol Scand. 2011, 90: 935-954. 10.1111/j.1600-0412.2011.01185.x.View ArticlePubMedGoogle Scholar
- McDonald SD, Han Z, Mulla S, Beyene J: Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: systematic review and meta-analyses. BMJ. 2010, 341: c3428-10.1136/bmj.c3428.View ArticlePubMedPubMed CentralGoogle Scholar
- Vilming B, Nesheim BI: Hyperemesis gravidarum in a contemporary population in Oslo. Acta Obstet Gynecol Scand. 2000, 79: 640-643.PubMedGoogle Scholar
- Vangen S, Stoltenberg C, Stray-Pedersen B: Complaints and complications in pregnancy: a study of ethnic Norwegian and ethnic Pakistani women in Oslo. Ethn Health. 1999, 4: 19-28. 10.1080/13557859998155.View ArticlePubMedGoogle Scholar
- Vangen S, Stoltenberg C, Johansen RE, Sundby J, Stray-Pedersen B: Perinatal complications among ethnic Somalis in Norway. Acta Obstet Gynecol Scand. 2002, 81: 317-322. 10.1034/j.1600-0412.2002.810407.x.View ArticlePubMedGoogle Scholar
- Casey BM, McIntire DD, Leveno KJ: The continuing value of the Apgar score for the assessment of newborn infants. N Engl J Med. 2001, 344: 467-471. 10.1056/NEJM200102153440701.View ArticlePubMedGoogle Scholar
- Finster M, Wood M: The Apgar score has survived the test of time. Anesthesiology. 2005, 102: 855-857. 10.1097/00000542-200504000-00022.View ArticlePubMedGoogle Scholar
- Li J, Cnattingus S, Gissler M, Vestergaard M, Obel C, Ahrensberg J, et al: The 5-minute Apgar score as a predictor of childhood cancer: a population-based cohort study in five million children. BMJ Open. 2012, 2: 4 e001095-doi:10.1136/bmjopen-2012-001095PubMedGoogle Scholar
- Hære IM, Steinbakk A, Vikanes AV, Vilming B: Hyperemesis gravidarum-Veileder i Obstetrikk (Norwegian Guidelines for Obstetrics). 2008, Oslo, Norway: Legeforeningen, URL: http://legeforeningen.no/Fagmed/Norsk-gynekologisk-forening/Veiledere/veileder-i-fodselshjelp-2008/kapittel-7-hyperemesis-gravidarum/ Google Scholar
- Manktelow BN, Lal MK, Field DJ, Sinha SK: Antenatal corticosteroids and neonatal outcomes according to gestational age: a cohort study. Arch Dis Child Fetal Neonatal Ed. 2010, 95: F95-F98. 10.1136/adc.2009.170340.View ArticlePubMedGoogle Scholar
- Roseboom TJ, Painter RC, van Abeelen AFM, Veenendaal MVE, de Rooij SR: Hungry in the womb: what are the consequences? Lessons from the Dutch famine. Maturitas. 2011, 70: 141-145. 10.1016/j.maturitas.2011.06.017.View ArticlePubMedGoogle Scholar
- Rapoport JL, Giedd JN, Gogtay N: Neurodevelopmental model of schizophrenia: update 2012. Mol Psychiatry. 2012, 17: 1228-1238. 10.1038/mp.2012.23.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2393/13/169/prepub
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