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Changes in beverage consumption from pre-pregnancy to early pregnancy in the Norwegian Fit for Delivery study

Published online by Cambridge University Press:  15 September 2014

Marianne Skreden*
Affiliation:
Department of Public Health, Sports and Nutrition, University of Agder, PO Box 422, 4604 Kristiansand, Norway
Elling Bere
Affiliation:
Department of Public Health, Sports and Nutrition, University of Agder, PO Box 422, 4604 Kristiansand, Norway
Linda R Sagedal
Affiliation:
Department of Obstetrics and Gynaecology, Sørlandet Hospital, Kristiansand, Norway
Ingvild Vistad
Affiliation:
Department of Obstetrics and Gynaecology, Sørlandet Hospital, Kristiansand, Norway
Nina C Øverby
Affiliation:
Department of Public Health, Sports and Nutrition, University of Agder, PO Box 422, 4604 Kristiansand, Norway
*
* Corresponding author: Email [email protected]
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Abstract

Objective

To describe changes in consumption of different types of beverages from pre-pregnancy to early pregnancy, and to examine associations with maternal age, educational level and BMI.

Design

Cross-sectional design. Participants answered an FFQ at inclusion into a randomized controlled trial, the Fit for Delivery (FFD) trial, in median gestational week 15 (range: 9–20), reporting current consumption and in retrospect how often they drank the different beverages pre-pregnancy.

Setting

Eight local antenatal clinics in southern Norway from September 2009 to February 2013.

Subjects

Five hundred and seventy-five healthy pregnant nulliparous women.

Results

Pre-pregnancy, 27 % reported drinking alcohol at least once weekly, compared with none in early pregnancy (P<0·001). The percentage of women drinking coffee (38 % v. 10 %, P<0·001), sugar-sweetened beverages (10 % v. 6 %, P=0·011) and artificially sweetened beverages (12 % v. 9 %, P=0·001) at least daily decreased significantly from pre-pregnancy to early pregnancy, while the percentage of women who reported to drink water (85 % v. 92 %, P<0·001), fruit juice (14 % v. 20 %, P=0·001) and milk (37 % v. 42 %, P=0·001) at least daily increased significantly. From pre-pregnancy to early pregnancy higher educated women reduced their consumption frequency of coffee significantly more than women with lower education. Older women reduced their consumption frequency of coffee and artificially sweetened beverages and increased their consumption frequency of fruit juice and milk significantly more than younger women.

Conclusions

There is a significant change in beverage consumption from pre-pregnancy to early pregnancy among Norwegian nulliparous women.

Type
Research Papers
Copyright
Copyright © The Authors 2014 

Maternal diet before and during pregnancy is important for the immediate and future health of the mother and child. Diet can modulate the developing nervous system as well as fetal expression of genes( Reference Hanley, Dijane and Fewtrell 1 , Reference Gluckman, Hanson and Cooper 2 ). The mother’s change in dietary behaviour during pregnancy may affect future food habits in the family( Reference Kapur 3 ). There is also emerging knowledge on the effect of toxic dietary substances and non-nutrients on fetal health( Reference Brantsaeter, Abel and Haugen 4 Reference Stagnaro-Green and Pearce 8 ). Thus, women’s nutrition both pre-pregnancy and in pregnancy is an important public health issue( Reference Barker, Barker and Fleming 9 ) and this time period is regarded as a ‘window of opportunity’ when most women are highly motivated for dietary improvements( Reference Szwajcer, Hiddink and Maas 10 , Reference Phelan 11 ).

The Norwegian public health authorities give general advice on a balanced and healthy diet. Women who plan to get pregnant and pregnant women are advised not to consume alcohol. Pregnant women are told to drink water when thirsty, to drink one to two glasses of skimmed or semi-skimmed milk and not more than two cups of coffee per day. One glass of fruit juice is regarded as ‘one fruit’ in the recommended ‘five fruit and vegetables a day’. On the other hand, pregnant women are told to minimize intake of beverages that contain high amounts of sugar, listing fruit juice and sugar-sweetened beverages (SSB) as examples. There is no specific advice on consumption of artificially sweetened beverages (ASB)( 12 ).

In order to tailor nutritional education and intervention policy to improve pregnant women’s diet, knowledge about women’s pre-pregnancy diet and also changes in dietary habits upon entering into pregnancy is essential. Furthermore, it is important to identify particular groups of pregnant women who have poor adherence to dietary recommendations to enable targeted nutritional education.

Beverages are a natural part of daily diet( Reference Wolf, Bray and Popkin 13 ) and are an important source of nutrients, energy and fluids. However, some beverages like wine and coffee contain toxic substances. Longitudinal studies on diet across the transition to motherhood find that women report changes both in beverage intake and drinking behaviour( Reference Graham, Mayan and McCargar 14 , Reference Chen, Low and Fok 15 ). Much of the research on beverage consumption during pregnancy has focused on specific types of drinks( Reference Alvik, Aalen and Lindemann 5 Reference Sengpiel, Elind and Bacelis 7 , Reference Bay and Kesmodel 16 Reference Halldorsson, Strom and Petersen 27 ) or has been part of studies on nutrition during pregnancy( Reference Chen, Low and Fok 15 , Reference Crozier, Robinson and Godfrey 28 Reference Rodriguez-Bernal, Ramon and Quiles 33 ). Few, if any, studies have looked specifically at a broader range of beverage intake from pre-pregnancy to early pregnancy.

We aimed to describe beverage consumption and changes in beverage consumption from pre-pregnancy to the first appointment at the local antenatal clinic in a cohort of healthy Norwegian nulliparous women, and to examine potential associations between change in beverage consumption and maternal age, educational attainment and BMI.

Materials and methods

Population and study design

The present article is a baseline paper from the Norwegian Fit for Delivery (FFD) randomized controlled trial, where the intervention was antenatal nutritional counselling and exercise classes given to nulliparous women from the general population. The main aims of the FFD trial are to examine the effect of the intervention on maternal gestational weight gain, newborn birth weight, glucose regulation during pregnancy, complications of pregnancy and delivery, and postpartum maternal weight retention. The FFD trial has previously been described in detail( Reference Sagedal, Overby and Lohne-Seiler 34 ). The results from the present study are important for identifying maternal characteristics of particular importance as confounding factors in future evaluation of possible effects of the intervention. Pregnant nulliparous women were consecutively recruited from eight local antenatal clinics around Kristiansand in southern Norway from September 2009 to February 2013. Additional inclusion criteria were age ≥18 years, singleton pregnancy, gestational age less than 20 weeks, BMI ≥19·0 kg/m2 and that the woman was fluent in Norwegian or English. Women with diabetes mellitus, ongoing substance abuse, physical disability that precluded participation in a physical fitness programme and planned relocation outside the study area before delivery were excluded.

At inclusion, in median gestational week 15 (range: 5–20), the women answered an FFQ. The study design was cross-sectional as the women reported how often they consumed the different drinks at inclusion and in retrospect how often they drank the different beverages before they got pregnant.

Assessment of dietary changes

Questionnaire items on beverage intakes included three items on milk (whole milk, low-fat or extra low-fat, and skimmed milk), two items on water (tap and bottled) and one item each on alcohol, coffee, SSB, ASB and fruit juice, respectively. The questionnaires were available in both paper and online versions. The majority chose to fill in the questionnaire electronically. All items had ten response alternatives and were recoded into frequency of consumption (0=‘never’, 0·5=‘less than once a week’, 1=‘weekly’, 2=‘twice weekly’, … 6=‘six times weekly’, 7=‘daily’ and 10=‘several times daily’). The two items of water were pooled into one item labelled ‘water’, and the three items of milk were pooled into one item labelled ‘milk’. The frequencies of beverage consumption for all beverages except alcohol were categorized into three groups: (i) ≤1/week, (ii) 2–6/week and (iii) ≥1/d to describe the distribution of beverage consumption pre-pregnancy and in early pregnancy. Alcohol was categorized as: (i) never, (ii) less than once weekly, (iii) weekly and (iv) twice weekly or more. Additionally, the frequencies of beverage consumption were categorized into two groups: ≥daily (‘at least daily’) v. <daily to examine potential associations between change in beverage consumption and maternal age, educational attainment and BMI.

Other study variables

A questionnaire regarding lifestyle and background factors was also filled in at inclusion. Study variables included maternal age at inclusion, pre-pregnancy BMI and length of education. Maternal age was dichotomized into <25 years v. ≥25 years. Height was measured to the nearest centimetre at the 30-week assessment, using a Seca Leicester portable stadiometer with an accuracy of 0·1 cm. Weight prior to pregnancy was self-reported and used for calculation of pre-pregnancy BMI (weight/height2). According to the WHO definition of normal weight and overweight/obese( 35 ), we dichotomized into BMI < 25·0 kg/m2 and BMI ≥25·0 kg/m2. The included women were asked to report their level of education by choosing one of the following response options: ‘less than 7 years of primary education’, ‘7–10 years of primary education’, ‘10–12 years of education’, ‘trade school or 1–2 years of high school’, ‘completed high school’, ‘less than 4 years at college/university’ and ‘4 years or more at college/university’. Education was dichotomized into low education (did not attend college or university) and high education (having attended college or university).

Statistical methods

Student’s t test and χ 2 statistics were used as appropriate to compare responders and non-responders. Furthermore, beverage consumption and the changes in beverage consumption from pre-pregnancy to median gestational week 15 were analysed with a multilevel linear mixed model with dichotomized beverage consumption variables as the dependent variables( Reference Hellevik 36 ). According to present literature there might be a difference in pregnant women’s beverage consumption depending on age, educational level and BMI( Reference Englund-Ogge, Brantsaeter and Haugen 22 , Reference Olafsdottir, Skuladottir and Thorsdottir 31 , Reference Gray 37 ). Thus, the model included maternal age, BMI and educational level, as well as the interaction terms time×age, time×maternal education and time × BMI, to investigate changes in the consumption of different beverages from pre-pregnancy to median gestational week 15. The analyses were performed with the statistical software package IBM SPSS Statistics 19·0. Statistical analyses were conducted as two-tailed tests with a 0·05 level of significance.

Results

Sociodemographic characteristics

The inclusion of 575 pregnant women was per protocol and is shown in Fig. 1. Sociodemographic characteristics are described in Table 1. Mean maternal age was 28·1 (sd 4·35) years and mean pre-pregnant BMI was 23·9 (sd 3·83) kg/m2.

Fig. 1 Flow diagram of the inclusion of pregnant women in the present study

Table 1 Sociodemographic characteristics at inclusion among healthy, pregnant, nulliparous women (n 575), Norwegian Fit for Delivery (FFD) trial, September 2009 to February 2013

* Women had to have BMI ≥19·0 kg/m2 to be included in the FFD trial.

Beverage consumption

Changes in the frequency of beverage consumption from pre-pregnancy to early pregnancy are presented in Fig. 2. The percentage of women drinking coffee (38 % v. 10 %, P<0·001), SSB (10 % v. 6 %, P=0·011) and ASB (12 % v. 9 %, P=0·001) at least daily decreased significantly from pre-pregnancy to early pregnancy, while the percentage of women who reported at least daily consumption of water (85 % v. 92 %, P<0·001), fruit juice (14 % v. 20 %, P=0·001) and milk (37 % v. 42 %, P=0·001) increased significantly (Table 2). Pre-pregnancy, 11 % were abstaining from alcohol, 62 % reported drinking alcohol less frequently than once weekly, whereas 16 % were drinking alcohol weekly and 11 % reported drinking alcohol twice weekly or more. In early pregnancy, 99·7 % were abstaining from alcohol and 0·3 % reported drinking alcohol less frequently than once weekly, whereas no women reported drinking alcohol weekly or twice weekly or more.

Fig. 2 Changes in the frequency of beverage consumption from pre-pregnancy () to early pregnancy () among 575 healthy, pregnant, nulliparous women participating in the Norwegian Fit for Delivery (FFD) trial: (a) coffee; (b) water; (c) sugar-sweetened beverages; (d) artificially sweetened beverages; (e) fruit juice; (f) milk

Table 2 Changes in frequencies of beverage consumption from pre-pregnancy to early pregnancy among healthy, pregnant, nulliparous women (n 575), Norwegian Fit for Delivery (FFD) trial, September 2009 to February 2013

SSB; sugar-sweetened beverages; ASB; artificially sweetened beverages.

* Median gestational week 15 (range: 9–20).

P value based on repeated measure model.

P value based on multilevel linear mixed model.

Women with higher educational attainment reduced their frequency of at least daily coffee consumption (46 % v. 12 %) significantly more than women with lower educational attainment (31 % v. 9 %; interaction time×education, P=0·005). Older women (≥25 years) reported a significantly larger decrease in at least daily consumption of ASB (17 % v. 11 %) compared with younger women (7 % v. 7 %; interaction time×age, P=0·045). Furthermore, older women increased their frequency of at least daily consumption of fruit juice from pre-pregnancy to early pregnancy (17 % v. 27 %) significantly more than women aged <25 years (11 % v. 13 %; interaction time×age, P=0·029; Table 2). Additionally, older women reported a significantly larger increase in at least daily intake of milk from pre-pregnancy to early pregnancy (35 % v. 43 %) compared with younger women (39 % v. 40 %; interaction time×age, P=0·041). No significant interactions were observed between BMI and changes in drinking habits from pre-pregnancy to gestational week 15 (Table 2).

Inter-individual differences in type of beverage consumed and frequency of beverage consumption were large both pre-pregnancy and in early pregnancy. Water represented the most commonly reported beverage consumed at least daily both pre-pregnancy and in early pregnancy, followed by coffee, milk and fruit juice pre-pregnancy and by milk, fruit juice and coffee in early pregnancy. Low-fat milk (≤2 % fat)/extra low-fat milk (≤0·7 % fat) was the most commonly consumed milk.

Discussion

The present study revealed that, pre-pregnancy, 27 % of the women consumed alcohol at least once weekly and 15 % did not drink water daily. Furthermore, 10 % reported to drink SSB and 12 % to drink ASB at least once daily and only 37 % reported to drink milk at least once daily. In early pregnancy women changed their intake of different beverages. They stopped drinking alcohol and reduced their consumption of coffee substantially. According to recommendations from Norwegian public health authorities, they did not replace these beverages with SSB or ASB. Instead there was a small, but significant decrease in the intake of both SSB and ASB. Moreover, the women reported a significant increase in their intake of water, fruit juice and milk from pre-pregnancy to early pregnancy.

Alcohol

A decrease in the consumption of alcohol from pre-pregnancy to early pregnancy has been reported across many populations( Reference Graham, Mayan and McCargar 14 , Reference Chen, Low and Fok 15 , Reference Pinto, Barros and dos Santos Silva 30 , Reference Crozier, Robinson and Borland 38 ), but not all studies have reported the same level of abstinence during pregnancy as the women in the present study( Reference Pinto, Barros and dos Santos Silva 30 , Reference Verbeke and De Bourdeaudhuij 32 , Reference Crozier, Robinson and Borland 38 ). The toxic effects of alcohol on the fetus have been known for more than 40 years( Reference Jones, Smith and Ulleland 39 ) and consumption of alcohol during pregnancy is associated with congenital birth defects( Reference Feldman, Jones and Lindsay 23 , Reference Richardson, Browne and Rasmussen 40 ) as well as unfavourable developmental( Reference Lewis, Zuccolo and Davey Smith 20 ) and neurological outcomes( Reference Bay and Kesmodel 16 ). The consequences of low to moderate alcohol consumption during pregnancy are somewhat contradictory, with some researchers reporting no effect on child behaviour or development( Reference Henderson, Gray and Brocklehurst 17 , Reference Skogerbo, Kesmodel and Denny 21 ) whereas others report significant negative effects( Reference Alvik, Aalen and Lindemann 5 ). Since there seems to be a considerable variation in how women and their fetuses metabolize alcohol, a precautionary approach advising pregnant women to abstain from alcohol is the best option( Reference Gray 37 ). The reduction in alcohol consumption from pre-pregnancy to early pregnancy clearly indicates that the women who took part in the present study have understood and acknowledged the potential harmful fetal effects of alcohol in pregnancy. Current recommendations also tell women who plan to become pregnant not to consume alcohol( 41 , Reference Luton, Forestier and Courau 42 ). In the present study only 11 % of the women were abstaining from alcohol at the time they got pregnant and 27 % consumed alcohol at least once weekly. Since most organogenesis happens in the early weeks of gestation before many women are aware of their pregnancy, there is a potential health benefit from increased adherence to national guidelines that advise women to abstain from alcohol when they are planning to get pregnant.

Coffee

The large and significant decrease in intake of coffee from pre-pregnancy to early pregnancy is a consistent finding in many studies( Reference Graham, Mayan and McCargar 14 , Reference Chen, Low and Fok 15 , Reference Pinto, Barros and dos Santos Silva 30 , Reference Crozier, Robinson and Borland 38 ). Coffee consumption during pregnancy has been found to be associated with impaired fetal length growth( Reference Bakker, Steegers and Obradov 24 ), decreased birth weight( Reference Sengpiel, Elind and Bacelis 7 ) and increased risk of delivering a small-for-gestational-age infant( 6 , Reference Sengpiel, Elind and Bacelis 7 ). Coffee consumption is relatively high in the Norwegian population. In the latest nationwide survey from 2011, average daily coffee intake was 270 ml among women aged 18–40 years, with the highest intake in the older age group( 43 ). In the present study women with higher educational attainment and older women were among the most frequent coffee drinkers. Both groups reduced their consumption frequency of coffee from pre-pregnancy to early pregnancy more than their younger and less educated counterparts. The reason for the decrease might be that women follow the clear and consistent advice from national health authorities. Additionally, the experience of nausea, altered beverage preferences and heartburn might have contributed to the reduction( Reference Graham, Mayan and McCargar 14 ).

Water

The recommendation ‘drink water when thirsty’ is endorsed both for the general population and for pregnant women. In the present study, 15 % and 8 % did not drink water daily before pregnancy and in early pregnancy, respectively. There are several potential health benefits of the consumption of water. Overweight or obesity and excessive gestational weight gain are major concerns in antenatal care, and women with higher BMI have a larger risk of excessive gestational weight gain than normal-weight women( Reference Olafsdottir, Skuladottir and Thorsdottir 31 ). Population studies have shown that replacement of SSB and fruit juice with plain water is associated with lower energy intake( Reference Daniels and Popkin 44 ), lower weight gain( Reference Pan, Malik and Hao 45 ) and lower risk of type 2 diabetes( Reference Pan, Malik and Schulze 46 ). Furthermore, an intake of one to two glasses of water daily pre-pregnancy has been associated with a reduced risk of severe nausea and vomiting in pregnancy( Reference Haugen, Vikanes and Brantsaeter 47 ).

Sugar-sweetened beverages

The prevalence of both overweight and obesity has more than doubled among women of childbearing age in Norway between 1984/86 and 2006/08( Reference Midthjell, Lee and Langhammer 48 ). Changes in diet are one of the main causes of the obesity epidemic( Reference Mozaffarian, Hao and Rimm 49 , Reference Hu 50 ), and caloric beverages have increased their share of daily energy intake substantially during the last decades( Reference Nielsen and Popkin 51 , 52 ). In addition, consumption of both carbonated and non-carbonated SSB is associated with elevated risk of pre-eclampsia( Reference Borgen, Aamodt and Harsem 53 ) and preterm delivery( Reference Englund-Ogge, Brantsaeter and Haugen 22 ). SSB is not part of the daily diet for the majority of pregnant women in our study as only 10 % reported to drink SSB daily or several times daily pre-pregnancy. However, there is a concern that about one in two women with BMI ≥25·0 kg/m2 reported drinking SSB more than once weekly both before and during pregnancy. Alcoholic beverages and coffee are part of socializing, and studies have shown that SSB might be used as a substitute for both alcohol and coffee( Reference Graham, Mayan and McCargar 14 ). The at least daily consumption of SSB among women in the present study is lower than the 19 % reported around gestational week 22 in the Norwegian Mother and Child Cohort Study (MoBa) conducted between 1999 and 2008( Reference Englund-Ogge, Brantsaeter and Haugen 22 ). Chen and co-workers also found a decrease in consumption of soft drinks from pre-pregnancy to pregnancy among Indian, Malay and Chinese women in Singapore( Reference Chen, Low and Fok 15 ), whereas Crozier and co-workers did not find any change in consumption of SSB from pre-pregnancy to early pregnancy in the Southampton Women’s Survey which was conducted between 1998 and 2002( Reference Crozier, Robinson and Godfrey 28 ). Today pregnant women are specifically told not to drink SSB in excess, so awareness of the unhealthy aspects of SSB was probably higher when our study was conducted compared with 10–15 years ago.

Artificially sweetened beverages

High-quality epidemiological studies on the health effects of diet soft drinks are sparse. There is, however, a growing body of literature that suggests adverse health effects of ASB( Reference Schernhammer, Bertrand and Birmann 54 , Reference Soffritti, Belpoggi and Manservigi 55 ), and an association between daily intake of artificially sweetened soft drinks and increased risk of preterm delivery has recently been reported in two large population-based prospective studies( Reference Englund-Ogge, Brantsaeter and Haugen 22 , Reference Halldorsson, Strom and Petersen 27 ). Some researchers recommend that vulnerable subgroups, such as pregnant women, not to drink ASB( Reference Soffritti, Padovani and Tibaldi 56 ). The intake of ASB in the present study was much lower than reported in the MoBa cohort where 17 % the women reported daily intake of ASB in gestational week 22( Reference Englund-Ogge, Brantsaeter and Haugen 22 ), compared with 8 % in the present study. The significant reduction in ASB consumption from pre-pregnancy to early pregnancy in the present study is reassuring. However, since pregnant women are regarded as a susceptible population for potential adverse effects of ASB, it is a concern that more than 40 % of the women in the present study consumed ASB more frequently than once weekly in early pregnancy.

Fruit juice

There was an increase in fruit juice consumption from pre-pregnancy to early pregnancy, highest among older women, and one in five women in the present study consumed fruit juice at least daily in early pregnancy. Fruit juice might appear to be a healthy beverage given its content of vitamins, phytochemicals, minerals and antioxidants and has also been suggested as a popular replacement for coffee and alcohol during pregnancy( Reference Graham, Mayan and McCargar 14 ). Special taste preferences might be one reason why some women increase their consumption of juice when pregnant( Reference Graham, Mayan and McCargar 14 ). However, fruit juices are abundant in natural sugars and should therefore be consumed in moderation. Given the somewhat contradictory message from the Norwegian public health authorities where one glass of fruit juice is regarded as ‘one fruit’( 12 ), fruit juice might be perceived as not belonging to the ‘sugary’ beverages. Instead, fruit juices might be perceived as a healthy alternative to SSB and ASB and a beverage that does not need to be replaced by water despite the high sugar content. In an American study only 40 % identified fruit juice as ‘sugary’( Reference Rampersaud, Kim and Gao 57 ). Chen and co-workers reported that fruit juice consumption prior to pregnancy was not associated with gestational diabetes mellitus( Reference Chen, Hu and Yeung 58 ), and increased consumption of fruit juice during pregnancy has been found to be positively associated with a healthy diet( Reference Crozier, Robinson and Godfrey 28 , Reference Northstone, Emmett and Rogers 59 , Reference McGowan and McAuliffe 60 ). On the other hand, large cohort studies have found positive associations between consumption of fruit juice and weight gain( Reference Schulze, Manson and Ludwig 26 ) and type 2 diabetes( Reference Bazzano, Li and Joshipura 61 ). Thus, fruit juice might be regarded as a healthy beverage for women with a BMI within the normal range, but an unnecessary contributor of sugar and extra energy for women who are overweight or obese.

Milk

Milk is an important beverage in the traditional Norwegian diet, having a high concentration of nutrients such as protein, iodine, Ca, P, riboflavin and vitamin B12. Research has shown a positive association between moderate maternal milk consumption during pregnancy and increased birth weight in a population of healthy Western women( Reference Brantsaeter, Olafsdottir and Forsum 62 ). On the other hand, excessive intake of milk during pregnancy has been associated with an increased risk of large-for-gestational-age babies( Reference Olsen, Halldorsson and Willett 19 ) and excessive maternal weight gain( Reference Olafsdottir, Skuladottir and Thorsdottir 31 ). Only 42 % of the pregnant women in the present study met the Norwegian public health authorities’ recommendation of consumption of one to two glasses of milk daily, and about one in three reported to drink milk once weekly at the most. In Norway, the consumption of milk has decreased in the last three decades and more so among women and the youngest adult age groups( 52 ). This is a concern because milk has been one of the main sources of iodine in the Norwegian diet and a recent study revealed that iodine intake is inadequate in a majority of pregnant Norwegian women( Reference Brantsaeter, Abel and Haugen 4 ). Milk and milk products are main sources of saturated fat in the traditional Norwegian diet and for many years there has been a major public health focus on reducing intake of products such as fat cheese, cream and whole milk and increasing consumption of low-fat milk. One might speculate that many women associate milk with saturated fat and an unhealthy diet. Furthermore, a milk-free diet or diets with a minimal content of milk are advocated as part of many ‘alternative’ nutritional programmes.

In line with the Norwegian public health authorities’ recommendation( 12 ), the women in the present study mainly consumed low-fat milk and also reported a significant increase in consumption of milk from pre-pregnancy to early pregnancy. An increase in milk consumption from pre-pregnancy to pregnancy has also been found in other populations( Reference Chen, Low and Fok 15 , Reference Pinto, Barros and dos Santos Silva 30 Reference Verbeke and De Bourdeaudhuij 32 ). However, a British prospective study reported stable consumption of milk from pre-pregnancy to early pregnancy( Reference Crozier, Robinson and Godfrey 28 , Reference Crozier, Robinson and Borland 38 ).

Early pregnancy is a time period where women are highly motivated to adopt a healthier lifestyle, including healthier beverage consumption habits. Thus, it is important to understand why some pregnant women demonstrate low adherence to diet recommendations. Our findings are consistent with other European studies of pregnant women which also showed that younger maternal age and lower educational attainment are predictors of an unhealthy dietary pattern( Reference Rodriguez-Bernal, Ramon and Quiles 33 , Reference Crozier, Robinson and Borland 38 , Reference Northstone, Emmett and Rogers 59 , Reference McGowan and McAuliffe 60 , Reference Rifas-Shiman, Rich-Edwards and Kleinman 63 ). The youngest age group and those with lower educational attainment appear to be particularly vulnerable groups who tend to make less appropriate lifestyle choices in pregnancy. Therefore they might require targeted advice to encourage compliance with public health recommendations.

Strengths and limitations

A major strength of the current study is that the women were recruited from antenatal clinics that most pregnant women in Norway attend as part of their routine pregnancy follow-up. Another strength is the high response rate. There is also evidence that data collected electronically are more valid than data collected by interviewer or paper questionnaire( Reference Hackett 64 ). Since the participants had to answer each question to progress in the questionnaire, there were few missing data.

The study sample was confined to nulliparous women and was biased towards higher educated and older and younger women. In Norway in 2011, 48 % of women aged 25–29 years had not attended university( 65 ), compared with 31 % in the present sample. The mean age at inclusion was 28·1 years and 25 % were aged <25 years. The mean age of nulliparous women at delivery in Norway in 2011 was 27·7 years and 17 % were <25 years( 66 ). One explanation for the high participation of pregnant women aged <25 years in the present study might be that Kristiansand is a university town.

By excluding mothers who did not speak Norwegian or English, the sample had few immigrant women. Previous research has shown that certain immigrant groups demonstrate unhealthy dietary patterns( Reference Misra and Ganda 67 ), whereas others have a healthier diet than the native population( Reference Rodriguez-Bernal, Ramon and Quiles 33 ). Other obvious limitations were the cross-sectional design, the reliance on self-reported data and that the study did not investigate the full range of caffeinated beverages including tea, cola, energy drinks and cocoa. The FFQ used in the present study has shown acceptable test–retest reliability among pregnant women( Reference Overby, Hillesund and Sagedal 68 ). The FFQ challenges the respondents with complex tasks and in all dietary assessment methods misreporting is a serious problem( Reference Westerterp and Goris 69 ). Food items perceived as ‘unhealthy’ are under-reported to a larger degree than food and beverages perceived as ‘healthy’( Reference McGowan and McAuliffe 70 , Reference Olafsdottir, Thorsdottir and Gunnarsdottir 71 ). This is especially relevant for the present study of beverages such as alcohol in particular, but also for coffee, SSB and ASB. The data on pre-pregnancy beverage consumption were collected in retrospect and thus we cannot rule out recall bias. Finally, the women who ended up participating in the FFD trial might have been more health-conscious and more likely to adhere to a healthy lifestyle than the average pregnant woman.

Women who are planning a pregnancy might already have made some changes in their diet. We did not specifically address this, but a qualitative study from The Netherlands showed that few women changed their diet prior to pregnancy( Reference Szwajcer, Hiddink and Koelen 72 ). Furthermore, it is well known that symptoms associated with pregnancy such as nausea, heartburn, increased appetite, cravings, aversions and tiredness make women change their beverage intake( Reference Rifas-Shiman, Rich-Edwards and Willett 29 ). Since we did not monitor these symptoms, we do not know the reasons behind the observed changes in beverage consumption.

Conclusions and implications

Although we found a change towards healthier beverage consumption habits from pre-pregnancy to early pregnancy, potential health benefits with increased adherence to guidelines from the Norwegian public health authorities both pre-pregnancy and in early pregnancy remain. A proportion of women do not abstain from alcohol when planning to get pregnant and 15 % do not adhere to the advice ‘drink water when thirsty’. Women who are overweight and obese may need advice on the importance of restricting beverages that are high in sugar content such as SSB and fruit juice. Our results suggest that more attention should be paid to the importance of milk in the maternal diet. Finally, given the recent findings on the increased risk of preterm birth with increasing consumption of ASB, a cautious attitude might be wise.

Acknowledgements

Acknowledgements: The authors would like to thank the women who agreed to participate in the FFD trial. Financial support: The FFD trial is financed by a grant from South-Eastern Norway Regional Health Authority. Additional funding is provided by the municipalities of southern Norway and by the University of Agder. The funders had no role in the design, analysis or writing of this article. Conflict of interest: None. Authorship: L.R.S., I.V. and E.B. conceived the FFD trial. M.S., N.C.Ø. and E.B. designed the present study. M.S. drafted the rationale. L.R.S. was responsible for the data collection. M.S. and E.B. carried out statistical procedures. M.S. drafted the paper. All the other authors revised the paper critically. Ethics of human subject participation: The study was approved by the Norwegian Regional Committee for Medical Research Ethics South-East C (REK reference 2009/429). The FFD trial has the Clinical Trials registration: clinickaltrial.gov NCT01001689. Written informed consent was obtained from all participants.

References

1. Hanley, B, Dijane, J, Fewtrell, M et al. (2010) Metabolic imprinting, programming and epigenetics – a review of present priorities and future opportunities. Br J Nutr 104, Suppl. 1, S1S25.CrossRefGoogle ScholarPubMed
2. Gluckman, PD, Hanson, MA, Cooper, C et al. (2008) Effect of in utero and early-life conditions on adult health and disease. N Engl J Med 359, 6173.CrossRefGoogle ScholarPubMed
3. Kapur, A (2011) Pregnancy: a window of opportunity for improving current and future health. Int J Gynaecol Obstet 115, Suppl. 1, S50S51.CrossRefGoogle ScholarPubMed
4. Brantsaeter, AL, Abel, MH, Haugen, M et al. (2013) Risk of suboptimal iodine intake in pregnant Norwegian women. Nutrients 5, 424440.CrossRefGoogle ScholarPubMed
5. Alvik, A, Aalen, OO & Lindemann, R (2013) Early fetal binge alcohol exposure predicts high behavioral symptom scores in 5.5-year-old children. Alcohol Clin Exp Res 37, 19541962.CrossRefGoogle Scholar
6. CARE Study Group (2008) Maternal caffeine intake during pregnancy and risk of fetal growth restriction: a large prospective observational study. BMJ 337, a2332.CrossRefGoogle Scholar
7. Sengpiel, V, Elind, E, Bacelis, J et al. (2013) Maternal caffeine intake during pregnancy is associated with birth weight but not with gestational length: results from a large prospective observational cohort study. BMC Med 11, 42.CrossRefGoogle Scholar
8. Stagnaro-Green, A & Pearce, EN (2013) Iodine and pregnancy: a call to action. Lancet 382, 292293.CrossRefGoogle ScholarPubMed
9. Barker, D, Barker, M, Fleming, T et al. (2013) Developmental biology: support mothers to secure future public health. Nature 504, 209211.CrossRefGoogle ScholarPubMed
10. Szwajcer, EM, Hiddink, GJ, Maas, L et al. (2008) Nutrition-related information-seeking behaviours of women trying to conceive and pregnant women: evidence for the life course perspective. Fam Pract 25, Suppl. 1, i99i104.CrossRefGoogle ScholarPubMed
11. Phelan, S (2010) Pregnancy: a ‘teachable moment’ for weight control and obesity prevention. Am J Obstet Gynecol 202, 135, e131e138.CrossRefGoogle ScholarPubMed
12. Norwegian Directorate of Health (2009) Gravid. http://helsedirektoratet.no/publikasjoner/gravid/Sider/default.aspx (accessed June 2014).Google Scholar
13. Wolf, A, Bray, GA & Popkin, BM (2008) A short history of beverages and how our body treats them. Obes Rev 9, 151164.CrossRefGoogle Scholar
14. Graham, JE, Mayan, M, McCargar, LJ et al. (2013) Making compromises: a qualitative study of sugar consumption behaviors during pregnancy. J Nutr Educ Behav 45, 578585.CrossRefGoogle ScholarPubMed
15. Chen, LW, Low, YL, Fok, D et al. (2014) Dietary changes during pregnancy and the postpartum period in Singaporean Chinese, Malay and Indian women: the GUSTO birth cohort study. Public Health Nutr 17, 19391948.CrossRefGoogle ScholarPubMed
16. Bay, B & Kesmodel, US (2011) Prenatal alcohol exposure – a systematic review of the effects on child motor function. Acta Obstet Gynecol Scand 90, 210226.CrossRefGoogle ScholarPubMed
17. Henderson, J, Gray, R & Brocklehurst, P (2007) Systematic review of effects of low–moderate prenatal alcohol exposure on pregnancy outcome. BJOG 114, 243252.CrossRefGoogle ScholarPubMed
18. Johansen, AM, Wilcox, AJ, Lie, RT et al. (2009) Maternal consumption of coffee and caffeine-containing beverages and oral clefts: a population-based case–control study in Norway. Am J Epidemiol 169, 12161222.CrossRefGoogle ScholarPubMed
19. Olsen, SF, Halldorsson, TI, Willett, WC et al. (2007) Milk consumption during pregnancy is associated with increased infant size at birth: prospective cohort study. Am J Clin Nutr 86, 11041110.CrossRefGoogle ScholarPubMed
20. Lewis, SJ, Zuccolo, L, Davey Smith, G et al. (2012) Fetal alcohol exposure and IQ at age 8: evidence from a population-based birth-cohort study. PLoS One 7, e49407.CrossRefGoogle ScholarPubMed
21. Skogerbo, A, Kesmodel, US, Denny, CH et al. (2013) The effects of low to moderate alcohol consumption and binge drinking in early pregnancy on behaviour in 5-year-old children: a prospective cohort study on 1628 children. BJOG 120, 10421050.CrossRefGoogle ScholarPubMed
22. Englund-Ogge, L, Brantsaeter, AL, Haugen, M et al. (2012) Association between intake of artificially sweetened and sugar-sweetened beverages and preterm delivery: a large prospective cohort study. Am J Clin Nutr 96, 552559.CrossRefGoogle ScholarPubMed
23. Feldman, HS, Jones, KL, Lindsay, S et al. (2012) Prenatal alcohol exposure patterns and alcohol-related birth defects and growth deficiencies: a prospective study. Alcohol Clin Exp Res 36, 670676.CrossRefGoogle ScholarPubMed
24. Bakker, R, Steegers, EA, Obradov, A et al. (2010) Maternal caffeine intake from coffee and tea, fetal growth, and the risks of adverse birth outcomes: the Generation R Study. Am J Clin Nutr 91, 16911698.CrossRefGoogle ScholarPubMed
25. American College of Obstetricians and Gynecologists (2010) ACOG Committee Opinion No. 462: moderate caffeine consumption during pregnancy. Obstet Gynecol 116, 467468.CrossRefGoogle Scholar
26. Schulze, MB, Manson, JE, Ludwig, DS et al. (2004) Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA 292, 927934.CrossRefGoogle Scholar
27. Halldorsson, TI, Strom, M, Petersen, SB et al. (2010) Intake of artificially sweetened soft drinks and risk of preterm delivery: a prospective cohort study in 59,334 Danish pregnant women. Am J Clin Nutr 92, 626633.CrossRefGoogle Scholar
28. Crozier, SR, Robinson, SM, Godfrey, KM et al. (2009) Women’s dietary patterns change little from before to during pregnancy. J Nutr 139, 19561963.CrossRefGoogle ScholarPubMed
29. Rifas-Shiman, SL, Rich-Edwards, JW, Willett, WC et al. (2006) Changes in dietary intake from the first to the second trimester of pregnancy. Paediatr Perinat Epidemiol 20, 3542.CrossRefGoogle Scholar
30. Pinto, E, Barros, H & dos Santos Silva, I (2009) Dietary intake and nutritional adequacy prior to conception and during pregnancy: a follow-up study in the north of Portugal. Public Health Nutr 12, 922931.CrossRefGoogle ScholarPubMed
31. Olafsdottir, AS, Skuladottir, GV, Thorsdottir, I et al. (2006) Maternal diet in early and late pregnancy in relation to weight gain. Int J Obes (Lond) 30, 492499.CrossRefGoogle ScholarPubMed
32. Verbeke, W & De Bourdeaudhuij, I (2007) Dietary behaviour of pregnant versus non-pregnant women. Appetite 48, 7886.CrossRefGoogle ScholarPubMed
33. Rodriguez-Bernal, CL, Ramon, R, Quiles, J et al. (2013) Dietary intake in pregnant women in a Spanish Mediterranean area: as good as it is supposed to be? Public Health Nutr 16, 13791389.CrossRefGoogle Scholar
34. Sagedal, LR, Overby, NC, Lohne-Seiler, H et al. (2013) Study protocol: fit for delivery – can a lifestyle intervention in pregnancy result in measurable health benefits for mothers and newborns? A randomized controlled trial. BMC Public Health 13, 132.CrossRefGoogle ScholarPubMed
35. World Health Organization (2000) Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation. WHO Technical Report Series no. 894. http://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/ (accessed June 2014).Google Scholar
36. Hellevik, O (2009) Linear versus logistic regression when the dependent variable is a dichotomy. Quality & Quantity 43, 5974.CrossRefGoogle Scholar
37. Gray, R (2013) Low-to-moderate alcohol consumption during pregnancy and child development – moving beyond observational studies. BJOG 120, 10391041.CrossRefGoogle ScholarPubMed
38. Crozier, SR, Robinson, SM, Borland, SE et al. (2009) Do women change their health behaviours in pregnancy? Findings from the Southampton Women’s Survey. Paediatr Perinat Epidemiol 23, 446453.CrossRefGoogle ScholarPubMed
39. Jones, KL, Smith, DW, Ulleland, CN et al. (1973) Pattern of malformation in offspring of chronic alcoholic mothers. Lancet 1, 12671271.CrossRefGoogle ScholarPubMed
40. Richardson, S, Browne, ML, Rasmussen, SA et al. (2011) Associations between periconceptional alcohol consumption and craniosynostosis, omphalocele, and gastroschisis. Birth Defects Res A Clin Mol Teratol 91, 623630.CrossRefGoogle ScholarPubMed
41. Norwegian Directorate of Health (2011) Før du blir gravid. https://helsenorge.no/Helseogsunnhet/Sider/For-du-blir-gravid.aspx (accessed June 2014).Google Scholar
42. Luton, D, Forestier, A, Courau, S et al. (2014) Preconception care in France. Int J Gynaecol Obstet 125, 144145.CrossRefGoogle ScholarPubMed
43. Norwegian Directorate of Health (2012) Norkost 3. A Nationwide Dietary Survey Among Women and Men aged 18–70 Years. http://helsedirektoratet.no/publikasjoner/norkost-3-en-landsomfattende-kostholdsundersokelse-blant-menn-og-kvinner-i-norge-i-alderen-18-70-ar/Publikasjoner/norkost-3-is-2000.pdf (accessed June 2014).Google Scholar
44. Daniels, MC & Popkin, BM (2010) Impact of water intake on energy intake and weight status: a systematic review. Nutr Rev 68, 505521.CrossRefGoogle ScholarPubMed
45. Pan, A, Malik, VS, Hao, T et al. (2013) Changes in water and beverage intake and long-term weight changes: results from three prospective cohort studies. Int J Obes (Lond) 37, 13781385.CrossRefGoogle ScholarPubMed
46. Pan, A, Malik, VS, Schulze, MB et al. (2012) Plain-water intake and risk of type 2 diabetes in young and middle-aged women. Am J Clin Nutr 95, 14541460.CrossRefGoogle Scholar
47. Haugen, M, Vikanes, A, Brantsaeter, AL et al. (2011) Diet before pregnancy and the risk of hyperemesis gravidarum. Br J Nutr 106, 596602.CrossRefGoogle ScholarPubMed
48. Midthjell, K, Lee, CM, Langhammer, A et al. (2013) Trends in overweight and obesity over 22 years in a large adult population: the HUNT Study, Norway. Clin Obes 3, 1220.CrossRefGoogle Scholar
49. Mozaffarian, D, Hao, T, Rimm, EB et al. (2011) Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med 364, 23922404.CrossRefGoogle ScholarPubMed
50. Hu, FB (2013) Resolved: there is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases. Obes Rev 14, 606619.CrossRefGoogle ScholarPubMed
51. Nielsen, SJ & Popkin, BM (2004) Changes in beverage intake between 1977 and 2001. Am J Prev Med 27, 205210.CrossRefGoogle ScholarPubMed
52. Norwegian Directorate of Health (2013) Utviklingen i norsk kosthold. Matforsyningsstatistikk. http://helsedirektoratet.no/publikasjoner/utviklingen-i-norsk-kosthold-langversjon-2013/Sider/default.aspx (accessed June 2014).Google Scholar
53. Borgen, I, Aamodt, G, Harsem, N et al. (2012) Maternal sugar consumption and risk of preeclampsia in nulliparous Norwegian women. Eur J Clin Nutr 66, 920925.CrossRefGoogle ScholarPubMed
54. Schernhammer, ES, Bertrand, KA, Birmann, BM et al. (2012) Consumption of artificial sweetener- and sugar-containing soda and risk of lymphoma and leukemia in men and women. Am J Clin Nutr 96, 14191428.CrossRefGoogle ScholarPubMed
55. Soffritti, M, Belpoggi, F, Manservigi, M et al. (2010) Aspartame administered in feed, beginning prenatally through life span, induces cancers of the liver and lung in male Swiss mice. Am J Ind Med 53, 11971206.CrossRefGoogle ScholarPubMed
56. Soffritti, M, Padovani, M, Tibaldi, E et al. (2014) The carcinogenic effects of aspartame: the urgent need for regulatory re-evaluation. Am J Ind Med 57, 383397.CrossRefGoogle ScholarPubMed
57. Rampersaud, GC, Kim, H, Gao, Z et al. (2014) Knowledge, perceptions, and behaviors of adults concerning nonalcoholic beverages suggest some lack of comprehension related to sugars. Nutr Res 34, 134142.CrossRefGoogle ScholarPubMed
58. Chen, L, Hu, FB, Yeung, E et al. (2012) Prepregnancy consumption of fruits and fruit juices and the risk of gestational diabetes mellitus: a prospective cohort study. Diabetes Care 35, 10791082.CrossRefGoogle ScholarPubMed
59. Northstone, K, Emmett, P & Rogers, I (2008) Dietary patterns in pregnancy and associations with socio-demographic and lifestyle factors. Eur J Clin Nutr 62, 471479.CrossRefGoogle ScholarPubMed
60. McGowan, CA & McAuliffe, FM (2013) Maternal dietary patterns and associated nutrient intakes during each trimester of pregnancy. Public Health Nutr 16, 97107.CrossRefGoogle ScholarPubMed
61. Bazzano, LA, Li, TY, Joshipura, KJ et al. (2008) Intake of fruit, vegetables, and fruit juices and risk of diabetes in women. Diabetes Care 31, 13111317.CrossRefGoogle ScholarPubMed
62. Brantsaeter, AL, Olafsdottir, AS, Forsum, E et al. (2012) Does milk and dairy consumption during pregnancy influence fetal growth and infant birthweight? A systematic literature review. Food Nutr Res 2012, 56.Google Scholar
63. Rifas-Shiman, SL, Rich-Edwards, JW, Kleinman, KP et al. (2009) Dietary quality during pregnancy varies by maternal characteristics in Project Viva: a US cohort. J Am Diet Assoc 109, 10041011.CrossRefGoogle ScholarPubMed
64. Hackett, A (2011) Food frequency questionnaires: simple and cheap, but are they valid? Matern Child Nutr 7, 109111.CrossRefGoogle ScholarPubMed
65. Statistics Norway (2014) Population’s level of education 1, October 2013. http://www.ssb.no/en/utniv (accessed July 2014).Google Scholar
66. Norwegian Institute of Public Health (2013) Årstabeller for Medisinsk fødselsregister 2011. Fødsler i Norge. http://www.fhi.no/dokumenter/2a92108f4f.pdf (accessed June 2014).Google Scholar
67. Misra, A & Ganda, OP (2007) Migration and its impact on adiposity and type 2 diabetes. Nutrition 23, 696708.CrossRefGoogle ScholarPubMed
68. Overby, NC, Hillesund, ER, Sagedal, LR et al. (2012) The Fit for Delivery study: rationale for the recommendations and test–retest reliability of a dietary score measuring adherence to 10 specific recommendations for prevention of excessive weight gain during pregnancy. Matern Child Nutr (Epublication ahead of print version).CrossRefGoogle Scholar
69. Westerterp, KR & Goris, AH (2002) Validity of the assessment of dietary intake: problems of misreporting. Curr Opin Clin Nutr Metab Care 5, 489493.CrossRefGoogle ScholarPubMed
70. McGowan, CA & McAuliffe, FM (2012) Maternal nutrient intakes and levels of energy underreporting during early pregnancy. Eur J Clin Nutr 66, 906913.CrossRefGoogle ScholarPubMed
71. Olafsdottir, AS, Thorsdottir, I, Gunnarsdottir, I et al. (2006) Comparison of women’s diet assessed by FFQs and 24-hour recalls with and without underreporters: associations with biomarkers. Ann Nutr Metab 50, 450460.CrossRefGoogle ScholarPubMed
72. Szwajcer, EM, Hiddink, GJ, Koelen, MA et al. (2005) Nutrition-related information-seeking behaviours before and throughout the course of pregnancy: consequences for nutrition communication. Eur J Clin Nutr 59, Suppl. 1, S57S65.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1 Flow diagram of the inclusion of pregnant women in the present study

Figure 1

Table 1 Sociodemographic characteristics at inclusion among healthy, pregnant, nulliparous women (n 575), Norwegian Fit for Delivery (FFD) trial, September 2009 to February 2013

Figure 2

Fig. 2 Changes in the frequency of beverage consumption from pre-pregnancy () to early pregnancy () among 575 healthy, pregnant, nulliparous women participating in the Norwegian Fit for Delivery (FFD) trial: (a) coffee; (b) water; (c) sugar-sweetened beverages; (d) artificially sweetened beverages; (e) fruit juice; (f) milk

Figure 3

Table 2 Changes in frequencies of beverage consumption from pre-pregnancy to early pregnancy among healthy, pregnant, nulliparous women (n 575), Norwegian Fit for Delivery (FFD) trial, September 2009 to February 2013