40 years) age-groups, with normal or low body mass index, who were vegetarians, exercised regularly (3+times weekly), consumed alcohol and smoked cigarettes during pregnancy (p < 0.001 for all, except alcohol: p=0.044). Further, participants with frequent organic consumption included more women in the lower (≤12 years) or higher (17 years +) category of educational attainment, women who were students or had a partner being a student, who belonged to the lowest household income group (both respondent and her partner earned <300 000 NOK), who entered the study 2005-2007, and who lived in an urban area (p < 0.001 for all). Conclusions The socio-economic characteristics of pregnant Norwegian women with frequent organic consumption did not unambiguously follow those typically associated with better health, such as higher levels of education and income. Rather, lower household income, and both lowest and highest levels of education were associated with a higher prevalence of frequent organic consumption. The results indicate that personal and socio-economic characteristics are important covariates and need to be included in future studies of potential health outcomes related to organic food consumption during pregnancy."/>
Skip to main content
Download PDF

Characteristics associated with organic food consumption during pregnancy; data from a large cohort of pregnant women in Norway

BMC Public Health volume 10, Article number: 775 (2010) Cite this article

Abstract

Background

Little is known about the use of organic food during pregnancy. The aim of this study was to describe characteristics associated with the use of organic food among pregnant women participating in the Norwegian Mother and Child Cohort Study (MoBa).

Methods

The present study includes 63,561 women who during the years 2002-2007 answered two questionnaires, a general health questionnaire at gestational week 15 and a food frequency questionnaire at weeks 17-22. We used linear binomial regression with frequent versus rare use of organic food as outcome variable and characteristics of the respondent as independent variables. The outcome variable was derived from self-reported frequency of organic food use in six main food groups (milk/dairy, bread/cereal, eggs, vegetables, fruit and meat).

Results

Organic eggs and vegetables were the food items which were most frequently reported to be used "often" or "mostly". The proportion of women reporting frequent intake of organic food was 9.1% (n = 5754). This group included more women in the lower (<25 years) and higher (>40 years) age-groups, with normal or low body mass index, who were vegetarians, exercised regularly (3+times weekly), consumed alcohol and smoked cigarettes during pregnancy (p < 0.001 for all, except alcohol: p=0.044). Further, participants with frequent organic consumption included more women in the lower (≤12 years) or higher (17 years +) category of educational attainment, women who were students or had a partner being a student, who belonged to the lowest household income group (both respondent and her partner earned <300 000 NOK), who entered the study 2005-2007, and who lived in an urban area (p < 0.001 for all).

Conclusions

The socio-economic characteristics of pregnant Norwegian women with frequent organic consumption did not unambiguously follow those typically associated with better health, such as higher levels of education and income. Rather, lower household income, and both lowest and highest levels of education were associated with a higher prevalence of frequent organic consumption. The results indicate that personal and socio-economic characteristics are important covariates and need to be included in future studies of potential health outcomes related to organic food consumption during pregnancy.

Peer Review reports

Background

Dietary quality is especially critical during pregnancy, as adequate nutrition is essential for both maternal and foetal health. There is growing evidence that maternal diet may influence longer-term health of the offspring even within relatively well-nourished populations [1–3]. Dietary intake and food patterns have been described among pregnant women in many populations including Norway [4–6], but little is known about pregnant women who go against mainstream food culture and choose to eat vegetarian diets or organically grown food. In Norway, the generic term for 'organic food' includes food produced at farms following the basic certification requirements as well as farms practicing biological dynamic agriculture. Debio is the Norwegian certification body administering the label 'Ø' for organic food, which is combined with the international label 'Demeter' in the case of bio-dynamic food [7]. The interest for and reported use of organically grown food in the diet has increased in the general public in Norway during the last decade, with women reporting a higher interest than men (25%, as compared to 16%) [8]. It is known from a number of previous studies that health is a main motivation for choosing organic food [9, 10]. The expected beneficial health effects of eating organic food during pregnancy include avoiding the possible risks of exposing the developing foetus to synthetic pesticides [11]. On the other hand, higher risks of contamination from mycotoxins, heavy metals and enteric pathogens that could complicate pregnancy have frequently been ascribed to organic production methods, although studies have shown less fusarium mycotoxin contamination [12, 13] and lower risk of salmonella and E. coli [14, 15] in organic than in conventional foods. Furthermore, higher levels of beneficial substances such as bioactive compounds in plant foods [16, 17] and polyunsaturated fatty acids, such as omega-3 and CLA [18] in milk - also found in higher levels in breast milk of lactating women who had eaten organic dairy and/or meat products [19] may be associated with health benefits. A review of literature published in the period from 1958 to 2008 concluded, based on 55 studies, that there is no evidence of a difference in nutrient quality between organically and conventionally produced foodstuffs of relevance to health [20]. Another review by the same authors concluded, based on 12 studies from the same time period, that there is currently no evidence of a health benefit from consuming organic compared to conventionally produced foodstuffs [21]. While the first of these reviews has been criticised for omitting relevant research due to inaccurate selection criteria [22], there seem to be consensus that there is need for further and more detailed studies to investigate possible health effects of eating organic food.

The possible associations between eating organic food and other lifestyle factors and health behavior are not well-described. Information about the prevalence of use of organically grown food within sub-groups of the population is lacking. Such knowledge is important to obtain, especially in critical life phases such as pregnancy, as maternal diet, and possibly also organic food consumption, may have long-term implications for health of the offspring [1, 2]. Very few investigations have been conducted concerning the health effects or safety of organic food and no studies have evaluated this in a pregnant human population. The Norwegian Mother and Child Cohort Study (MoBa), a nation wide prospective pregnancy cohort that since 2002 has asked pregnant women about their frequency of organic food use, provides a unique possibility to explore background characteristics and lifestyle behaviors associated with the consumption of organic food during pregnancy. In MoBa we also plan to investigate dietary habits among organic food consumers and to examine potential diet-health relationships related to organic food consumption during pregnancy. To the best of our knowledge, this is the first study to report the use of organic food among pregnant women in relation to a wide range of personal and socio-demographic characteristics.

Compared to other European countries, the development of the organic food market in Norway has been slow [23] and for several decades, organic food had a marginal position outside of the conventional food market [24]. During the last 10-15 years, however, organic products have slowly been introduced into the Norwegian general food market, and sales have grown rapidly in the last few years parallel with an increase in the number of food items certified as organic, particularly since 2005 [25].

Given the close relation between consumers' choice of organic food and their focus on health, as well as the particular relevance of health during pregnancy, the aim of this study was to examine associations between frequent consumption of organic food during pregnancy and health behaviors, socio-economic and demographic characteristics. Could it be that women eating organic food during pregnancy live particularly healthy? Or, on the other hand, could it be that the choice of organic food during pregnancy is associated with lifestyle patterns which are contrary to public advice and knowledge about diet and health relationships?

Methods

Subjects and Methods

The data set is part of the MoBa study, initiated by and maintained at the Norwegian Institute of Public Health, and this study is presently the largest pregnancy cohort in the world with 107 000 pregnancies included since 1999 [26]. Pregnant women were recruited to the study by postal invitation after they had signed up for the routine ultrasound examination in their local hospital. The participation rate was about 43% [26]. The women were asked to provide biological samples and to answer questionnaires covering a wide range of information. The cohort database is linked to the Medical Birth Registry of Norway and other national health registries. The MoBa study has been approved by the Regional Committee for Ethics in Medical Research and the Data Inspectorate in Norway.

Subjects

This study uses version 4 of the data files made available for research in January 2009. To be included in the present study, the women had to have responded to the general questionnaire at gestational week 15 and to the MoBa food frequency questionnaire (FFQ) at weeks 17-22. In addition, participants had to have answered at least one of the 6 questions about organic food, and have a reported daily energy intake >4.5MJ or <20 MJ [27]. We only used data from the first time participation for women who had been included in the MoBa more than once because of multiple pregnancies. This resulted in a sample of 63,808 women. From this sample, we excluded 250 women who had missing values on age (n = 4) or urban/rural living (n = 246) due to the small numbers, resulting in a final study sample of 63,561.

The MoBa food frequency questionnaire

The MoBa FFQ http://www.fhi.no/dokumenter/011fbd699d.pdf is a semi-quantitative food frequency questionnaire designed specifically for assessing diet during the first four months of pregnancy, when the fetus is most vulnerable [3]. The FFQ is described in detail elsewhere [27]. Data has been collected from February 2002 and onwards. The questionnaire has 40 categories of questions covering the daily intake of 255 specific food items and dietary profile such as vegetarian, vegan or partly vegetarian and use of organic food in six main food groups (milk/dairy, bread/cereal, eggs, vegetables, fruit and meat).

Outcome variable

The use of organic food was calculated as a sum index based on the question about the frequency of use of organic food specified in six food groups: milk and dairy products, bread and cereal products, eggs, vegetables, fruit and meat. The alternative answers for use of organic food were: 'never or seldom', 'sometimes', 'often', or 'mostly' and were given values from 0-3. For those who had answered at least one of the questions about organic food, missing values for one or more of the other questions were interpreted as 'seldom or never'. The sum index reflects organic food consumption on a scale ranging from 0 to 18, with 0 representing no use of organic food and 18 representing "mostly" organic for all six food groups. Due to inconstancy between the reported dietary profile (vegetarian) and food intakes in the FFQ, we defined 'vegetarian' as having no intake of meat and fish based on the actual food intake. All respondents reported consumption of bread/cereal products and fruit. However, for respondents who had no reported intake of meat (n = 361), eggs (n = 1462), milk/dairy (n = 718) or vegetables (7) and who had not reported organic consumption of the corresponding food group, we upscaled the sum index by multiplying with 6/5 for each omitted food category. This resulted in the upscaling of 817 subjects and included not only vegetarians, but also individuals who avoided relevant food groups due to for instance allergy.

We defined frequent organic consumption as having a sum index of >6, which corresponds to at least one organic food answer in the "often" category. The upscaling resulted in allocation of 48 respondents into the 'frequent organic' consumption group, of which three were vegetarians.

Other variables

From the MoBa FFQ, we included the following dietary variables: The inclusion of meat or fish in the diet or a vegetarian diet, and alcohol consumption (yes/no). The variable for vegetarian diet in this study comprises vegans, lacto-vegetarians and lacto-ovo-vegetarians.

From the general questionnaire we included the participant's age, pre-pregnancy body mass index (BMI), smoking, exercise, level of education, the participant or her partner being a student, household income, and year of participation in MoBa. Age was divided into six categories (<20, 20-24, 25-29, 30-34, 35-39, 40+ years). BMI was calculated from self-reported height and pre-pregnant weight and categorized according to the WHO classification as normal (18.5-24.9 kg/m2), underweight (≤18.5 kg/m2), overweight (25.0-29.9 kg/m2), obese grade 1 (30.0 - 34.9 kg/m2) or obese grade 2 (≥35.0 kg/m2). Smoking during pregnancy was divided into three categories (daily smokers, occasional smokers and non-smokers). Exercise during pregnancy was based on respondents' reports of their participation in 13 different types of recreational exercise and divided into four categories (no exercise, less than once weekly, 1-2 times weekly and 3+ times weekly). Education was divided into three categories: high school or less (≤12 years), 3-4 years of college/university (13-16 years) or four or more years of college/university education (17+ years). Being a student (yes/no) was included for both the participant and her partner. Household income was measured as a combination of the participant's and her partner's income (both <300 000 NOK, one ≥300 000 NOK, or both ≥300 000 NOK). Urban or rural living area was explored using several variables: 1) an urban/rural variable based on 35 selected urban municipalities with >20,000 inhabitants and city status, 2) a variable based on 32 selected rural municipalities with a special focus on organic food, and 3) a variable indicating geographic location of a municipality in relation to urban settlements of various sizes, according to definitions obtained from Statistics Norway [28].

Statistical analyses

We used polychoric correlation to examine organic consumption among all food groups. The differences in organic food consumption between categories of maternal characteristics were tested using chi-square, and p value of <0.05 were considered to indicate statistical significance. We used linear binomial regression, with frequent use of organic food (sum index >6) as the binomial outcome variable. This analysis provides information about the risk difference (RD) between being in the frequent organic intake group or not, given various personal, socio-economic and lifestyle characteristics as covariates. Linear rather than logistic regression was preferred because the risk estimates for various constellations of covariates may be directly interpreted from the adjusted model as prevalence at reference category +/- the risk difference for any given characteristic/covariate, e.g. year 2005, age 35-39 etc. The model was checked by repeating the analysis using linear regression with the sum index as a continuous outcome variable, and comparable results were obtained (not shown).

A total of 13,174 (20.7%) women had missing values on one or more of the covariates. Participants with missing data on a variable are often categorized in a "missing" category to avoid exclusion of incomplete cases. This may, however, introduce bias. We therefore performed the linear binomial analysis in the full sample (n = 63,561) as well as in complete cases only (50,387) to examine the influence of including incomplete cases. The results were almost identical and we chose to present results for the full sample.

All analyses were performed using the statistical software PASW statistics 17 (SPSS Inc., IBM Company, Chicago, Ill., USA), except the polychoric correlation analysis which was performed in Stata version 11 (Stata Corp, Texas 77845 USA).

Results

Eggs and vegetables were the food categories that most respondents reported to use 'often' or 'mostly' organic, while few women reported consumption of organic meat. Across all food categories, the 'never/seldom' organic was the dominant answer, ranging from 65.4% for vegetables to 88.7% for meat, while the most frequent organic user group was small, ranging from 1.0% for meat to 3.5% for eggs. A total of 3376 (6.7%) women reported 'mostly' organic consumption for at least one of the six food groups (Table 1). There was a high correlation between organic food consumption across the food groups, with vegetables and fruits being most strongly correlated with each other and with the sum index (Table 2).

Table 1 Self reported organic consumption of six main food categories§.
Full size table
Table 2 Polychoric correlation between the reported use of organic food categories (n = 63,561)
Full size table

When summing the reported use of organic food across the six food groups, 1.9% of the women reached a sum index of 13 to 18, 7.2% had a sum index of 7 to 12, 39.2% had a sum index of 1 to 6 and 51.7% a sum index of 0, indicating that they had answered never or seldom to all organic food categories. In the further analysis we chose to define frequent organic consumption as having a sum index >6, which corresponds to reported consumption of at least one organic food group in the 'often' category. This resulted in 5754 (9.1%) frequent organic consumers (Table 3). There was a strong effect of age on frequent organic food consumption; among 30-34 year old there were 8.1% frequent consumers, compared to 28% among <20 year old, a crude difference of 20 percentage points (pp). The adjusted difference from the model was 15.6 pp (Table 3).

Table 3 Association between socio-economic, personal and lifestyle factors and frequent consumption of organic food.
Full size table

Higher prevalence of frequent organic use was also found among women in the underweight and normal weight BMI categories. The largest difference in use of organic food was found for eating a vegetarian diet (RD = 23.1 pp.), while only a very low share of participants were vegetarians (0.2%) (Table 3).

Overall, 91.6% of the women in this study were non smokers and 88.4% abandoned alcohol completely during pregnancy. However, among smokers and among women who consumed alcohol during pregnancy, there was a higher prevalence of frequent organic use. Further, physical activity three times a week or more was associated with a higher prevalence of organic food consumption (Table 3).

With regard to education, there was a two-sided trend with more frequent organic food consumption among those with 12 years or less or 17 years or more, while it was lower in the middle category. There was a higher likelihood of frequent organic consumption in households where the participant and/or her partner were students, and in households with low income. The likelihood of frequent organic consumption was in fact inversely correlated with higher income (Table 3).

Participation in MoBa at later years (2005 or later) was associated with frequent use of organic food. This was also the case for those living in urban areas. When using a four-level variable for living area, based on traveling distance to nearest town or city, the largest share of women with frequent use of organic food was found in the most central areas (9.4%), followed by the least central municipalities (8.6%). The lowest prevalence of frequent organic consumption was in the middle-category municipalities (8.0% and 8.4% in less or quite central municipalities respectively) (data not shown in table).

By combining the risk differences for the variables in the model we theoretically estimated that the group with the highest propensity to have a frequent intake of organic food were women <20 years of age, having BMI < 18.5, adhering to a vegetarian diet, consuming alcohol and smoking occasionally during pregnancy, exercising three times a week or more, having attained less than 13 years of education, being a student and having a partner who is a student, having low household income (both the participant and her partner earned <300 000 NOK), participating in MoBa in year 2007, and living in an urban area. The estimated prevalence of a frequent intake of organic food for this group was 61.8% (prevalence at reference category + risk difference for the relevant values of all the variables in the model). In the same way we estimated the prevalence in the group with the lowest propensity to have frequent intake of organic food to be 0.2%.

Discussion

The main finding of this study was that no single "healthy lifestyle" orientation could be identified among the women who reported frequent use of organic food. The frequent use of organic food was associated with lower and higher age groups, lower BMI, a vegetarian diet, cigarette smoking and use of alcohol during pregnancy, regular exercise, lower and higher levels of education, the participant and/or her partner being a student, low household income, urban living area, and participation in MoBa between 2005 and 2007. The associations between socio-demographic and lifestyle variables and eating organic food reflect complexity and indicate that no quick label like "young and idealistic" or "well educated and wealthy" can be applied to describe women who report frequent intake of organic food during pregnancy. Some previous studies also reported that use of organic food is quite widely distributed across socio-economic groups and associated with various types of motivation [10, 29], while others, particularly within the marketing tradition, have identified consumer segments in the market with a high likelihood to buy organic food such as "the engaged", "the eco-healthy", or "the practical green" etc. [30].

The strength of this study is the large sample of pregnant women with participants from both urban and rural regions, representing all age groups and all socioeconomic groups. The participation rate in MoBa is 43% and the prevalence of organic consumption may not be representative for all pregnant women in Norway [26]. However, this is not likely to influence the associations between reported use of organic food and characteristics of the respondents. The potential bias due to self-selection in MoBa was recently evaluated by Nilsen et al., 2009. No statistically relative differences in association measures were found between participants and the total population regarding eight exposure-outcome associations evaluated [31].

In the present study we examined the associations between participant characteristics and frequent organic consumption with and without women having missing data on participant characteristics. Covariates with missing data were BMI (2.6%), exercise (8.4%), education (2.2%), income (8.4%), and year of participation (2.0%). The numbers of missing values were higher in year 2002, in the youngest age group, among women with low education, among smokers, and among frequent organic food consumers. Including missing as separate categories in a regression is a simple method of dealing with missing values compared to the more correct but also more complex method of multiple imputations. Including missing in a regression will, contrary to popular belief, increase bias from confounding, but will reduce bias from possible heterogeneity of effects (interaction) between responders and non-responders/missing. It will also increase sample size and thereby power. The results from models with and without missing included were similar in our data, indicating that neither confounding nor heterogeneous effects played a strong role here.

The sum index provides a robust indicator of the consumption of a variety of the main organic food groups in the diet, appropriate for the explorative aim in this study. The sum index attributes equal importance to each food category and thus some detail may have been lost. The categories are dissimilar with regard to number of items within the category (e.g. 'eggs' containing only one item while 'fruit' and 'vegetables' contain numerous items). Eating 'mostly organic' vegetables is a more extensive practice than eating 'mostly organic' eggs. A related, but different challenge is that we do not know a respondents total variety of consumption within each category, e.g. whether 'mostly organic fruit' refers to only apples - or a whole range of different fruits. However, the high correlation between organic consumption within the six food groups supports the viability of using a sum index in this study (Table 2).

Eating a vegetarian diet was the characteristic which was most strongly associated with frequent consumption of organic food during pregnancy. Even though the total number of vegetarians among the MoBa-participants was low (0.2%), this was the single most predictive factor among all variables in the analysis, with 23.1 percentage points higher prevalence of frequent organic use among vegetarians than among non-vegetarians (Table 3). This reinforces earlier findings of an association between eating organic food and a vegetarian diet [32, 33]. Frequent use of organic food and eating a vegetarian diet may well be part of a healthy lifestyle, as a vegetarian diet has been associated with many health benefits such as lower risk of heart disease and type 2 diabetes [34–37]. Further associations between eating a vegetarian diet and the general dietary quality among the women with a frequent consumption of organic food will be published in a separate paper. Well-planned vegetarian diets are considered appropriate for individuals in all life-phases, including pregnancy [34]. Lower levels of BMI have been reported among vegetarians in various populations [35, 37], and also among consumers of organic food in a study of soy consumers and non-soy consumers in Minnesota, USA [38].

Participation in regular exercise and being underweight or normal weight were also associated with being a frequent organic consumer. Being physically active is an important contributor to a healthy lifestyle in the general population as well as among pregnant women, and is strongly inversely related to excessive body mass [39–41].

Entering pregnancy with a normal weight is beneficial with regard to pregnancy complications and health outcomes for both the mother and the child. Maternal obesity is a risk factor for all major pregnancy complications, which have increased in prevalence in later years [42], including gestational diabetes, pre-eclampsia, foetal overgrowth, preterm births, and cesarean delivery [42–45]. Being underweight, on the other hand, is also associated with unfavorable birth outcomes such as preterm birth and low birth weight, while overall, the outcome is favorable and several adverse outcomes are less common in this group of women [46]. We plan to further investigate dietary habits among organic food consumers and to examine potential diet-health relationships related to organic food consumption during pregnancy. It would also be interesting to further investigate subgroups within the population, as the characteristics associated with frequent organic consumption in the present study have also been related to a higher prevalence of eating disorders, such as adhering to a vegetarian diet [47], exercising more than three times per week, older age and being a student [48].

It is well established that both cigarette smoking and alcohol consumption during pregnancy is associated with increased risk of adverse health outcomes for the fetus, and consequently health authorities in many countries, including Norway recommend that pregnant women and those trying for a baby should totally avoid alcohol and smoking [49]. In this study we found a higher prevalence of smokers among women with frequent consumption of organic food. If the use of organic food is motivated by perceived health benefits, this finding may appear surprising. However, sociological studies of health behavior have indicated that the associations between them are complex. In a Finish study, an attempt to construct 'health indices' based on all relevant factors associated with good health proved difficult, and even though there were clear associations between health behaviors, their distribution into different combinations were quite diverse [50, 51]. Smoking has been shown to be central in the interplay between health behaviors, and the majority of smokers had either only smoked or had one additional unhealthy habit [51].

Our finding of a higher prevalence of cigarette smoking among women with a frequent consumption of organic food is contrary to a European multi-country study that reported less maternal smoking during pregnancy and current smoking in families with anthroposophic lifestyle (having children at Waldorf schools, eating organic/bio-dynamic food and/or living at farms practicing Bio-dynamic farming) compared to reference families [52, 53], while a Swedish study reported equal prevalence of parental smoking in families with anthroposophic lifestyle vs. reference families [54]. In the present study, however, consumers of all types of organic food are included, and we have not looked at respondents adhering to an anthroposophic lifestyle in particular.

We found a two-sided trend between frequent use of organic food both in regard to age and education, with the highest and lowest age and education groups being more likely to be frequent organic consumers than the middle groups. Next to eating a vegetarian diet, being in the lowest age group (<20 years) represented the highest likelihood for being a frequent organic consumer, with 15.6 percentage points higher prevalence than in the reference group (30-34 years). The present study has a smaller age range than studies in the general population as only pregnant women were included. Studies in the general population have also reported diverging results related to age, some finding that younger age (see for example [55–58]) and others that older age [59] was associated with a higher propensity to buy organic food, while some reported no difference with regard to age [29]. It has been suggested that there may be a pattern whereby there are higher shares of younger consumers among early adopters in developing markets, while older consumers are in higher numbers in more mature markets [60]. In Denmark and Great Britain, both being mature markets for organic food, the highest likelihood of buying organic food was found in households with middle-aged. In Great Britain the likelihood was lower in both the younger and older groups, while in Denmark it generally increased with age, but with a peak for the age group 40-49 years [61]. The Norwegian market for organic food is not by far as mature as the British or Danish, even though it has developed quite rapidly during the last decade. It might be that we see a combination of young new-comers and women who have longer experience with eating organic food.

Household economy could be expected to be crucial for the level of organic consumption given the fact that these products generally are more expensive. However, our finding of an inverse relation between household income and frequency of organic consumption indicate a complexity beyond economic ability alone, and that other factors are more decisive for the likelihood of eating organic food. Higher levels of education, on the other hand, were associated with a higher likelihood of eating organic food compared with middle-levels of education, and so was being a student - even in the older age groups. Both education and income are strongly associated with better health in population studies. Our finding of lower household income may therefore be interpreted as an indicator of vulnerability with regard to health, while higher levels of education - particularly with increasing age, provides for robustness. The combination of higher education and lower income among the frequent consumers of organic food may point to a different value-orientation in this group.

Previous Norwegian surveys have reported higher levels of education among consumers with more frequent use of organic food and food produced without use of pesticides [29, 59, 62], while a regional survey did not find any association between length of education and likelihood of buying organic food [63]. Studies from other countries have also reported differing results regarding respondents' level of education and use of organic food [30, 57, 64, 65]. Higher income was associated with a higher likelihood of buying organic food in one Norwegian study [63], while no difference with regard to income was reported in another [29]. A study of consumption of organic food in Denmark and Great Britain reported an increased propensity to buy organic food with higher 'social group', a composite indicator of educational level and income. However, in both countries, the highest propensity to buy organic food was found for the middle class households, while it was actually lower for the upper middle class [61]. Another Danish study also found that income explained very little of the purchasing behavior related to organic food [30].

Taken together, the lifestyle- and socio-economic characteristics of the frequent organic food consumers in the present study point to a complex phenomenon, involving diverse groups of women which go beyond narrowly defined 'consumer segments'. Some of the characteristics, such as regular exercise, lower BMI, and - in part - higher education indicate robustness with regard to a healthy lifestyle, while other characteristics, such as cigarette smoking and use of alcohol, and - in part - lower levels of education, may indicate vulnerability with regard to health of mother and child.

Our finding of a higher prevalence of frequent organic users in urban areas, is contrary to previous Norwegian studies that reported no difference between urban and rural areas [29, 63], but in line with results from Denmark and Great Britain [60, 66]. Further, our more nuanced finding that the highest level of organic consumption in the urban areas was followed by the most rural areas, with the lowest consumption in the two middle categories, is supported by other findings [67], and may be related to the possible 'idealistic' nature of organic consumption. Codron et al (2006) describe that a typical development for radical movements, such as those associated with organic food, is that when these products first enter the market, buyers are typically either local rural consumers, or urban consumers with higher income levels, including members of consumer associations and politically active movements sharing these values. In later phases, the constellations may change. These suggested lines of development may be relevant for Norway, where the market situation may still be described as not having reached maturity with regard to organic food - and we do find the highest levels of consumption among the contrasting groups: either urban or rural.

Conclusions

Our results indicated that frequent use of organic food is a practice that is adopted among pregnant women across various 'groups' referring to the personal, lifestyle and socio-demographic variables investigated. This fits well with earlier observations that the consumption of organic food in the general Norwegian population has not been limited to special sub-groups, but rather quite widely distributed across socio-economic groups.

We did find certain characteristics to be more common among the frequent organic food consumers, but these characteristics were diverse and not necessarily associated with a healthy lifestyle. Lower levels of education and income as well as smoking and use of alcohol in pregnancy were less favorable factors in relation to health in our cohort. On the other hand, being lean and doing regular exercise are in line with health recommendations. A vegetarian diet may well be part of a healthy lifestyle. In conclusion, we found that in our material associations between socio-demographic and lifestyle variables and eating organic food were complex and could not be reduced to one single 'healthy lifestyle' orientation. However, given the relatively short period of time that organic food has been available to the majority of people in Norway, patterns of organic food consumption may keep changing as the market grows more mature. Characteristics of pregnant women who eat organic food may then change, possibly making differences between socio-demographic groups and the association to the different lifestyle factors more easily discernable. A methodological implication of the results is that personal and socio-economic characteristics should be regarded as important covariates in future studies of potential health outcomes related to organic food consumption during pregnancy.

References

  1. Godfrey KM, Barker DJ: Fetal programming and adult health. Public Health Nutr. 2001, 4: 611-24. 10.1079/PHN2001145.

    CAS  Article  PubMed  Google Scholar 

  2. Moore VM, Davies MJ: Diet during pregnancy, neonatal outcomes and later health. Reprod Fertil Dev. 2005, 17: 341-8. 10.1071/RD04094.

    Article  PubMed  Google Scholar 

  3. Shapira N: Prenatal nutrition: a critical window of opportunity for mother and child. Womens Health (Lond Engl). 2008, 4: 639-56.

    CAS  Article  Google Scholar 

  4. Northstone K, Emmett PM, Rogers I: Dietary patterns in pregnancy and associations with nutrient intakes. Br J Nutr. 2008, 99: 406-15.

    CAS  PubMed  Google Scholar 

  5. Brantsaeter AL, Haugen M, Samuelsen SO, Torjusen H, Trogstad L, Alexander J, Magnus P, Meltzer HM: A dietary pattern characterized by high intake of vegetables, fruits, and vegetable oils is associated with reduced risk of preeclampsia in nulliparous pregnant Norwegian women. J Nutr. 2009, 139: 1162-8. 10.3945/jn.109.104968.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  6. Thompson JM, Wall C, Becroft DM, Robinson E, Wild CJ, Mitchell EA: Maternal dietary patterns in pregnancy and the association with small-for-gestational-age infants. Br J Nutr. 2010, 103: 1665-73. 10.1017/S0007114509993606.

    CAS  Article  PubMed  Google Scholar 

  7. Debio: [http://www.debio.no/section.cfm?path=1,61]

  8. Berg L: Tillitens triangler: om forbrukertillit og matsikkerhet [Report in Norwegian: Triangles of Trust. On consumer trust and food safety.]. 2005, Professional Report no. 1-2005. Oslo: National Institute for Consumer research (SIFO)

    Google Scholar 

  9. Shepherd R, Magnusson M, Sjoden PO: Determinants of consumer behavior related to organic foods. Ambio. 2005, 34: 352-9.

    Article  PubMed  Google Scholar 

  10. Torjusen H, Kjærnes U, Sangstad L, O'Doherty Jensen K: European consumers' conceptions of organic food: a review of available research. 2004, Professional report no. 4-2004. Oslo: National Institute for Consumer Research (SIFO)

    Google Scholar 

  11. Baker BP, Benbrook CM, Groth E, Lutz BK: Pesticide residues in conventional, integrated pest management (IPM)-grown and organic foods: insights from three US data sets. Food Addit Contam. 2002, 19: 427-46. 10.1080/02652030110113799.

    CAS  Article  PubMed  Google Scholar 

  12. Lu C, Toepel K, Irish R, Fenske RA, Barr DB, Bravo R: Organic diets significantly lower children's dietary exposure to organophosphorus pesticides. Environ Health Perspect. 2006, 114: 260-3. 10.1289/ehp.8418.

    CAS  Article  PubMed  Google Scholar 

  13. Bernhoft A, Clasen PE, Kristoffersen AB, Torp M: Less Fusarium infestation and mycotoxin contamination in organic than in conventional cereals. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2010, 27: 842-52.

    CAS  Article  PubMed  Google Scholar 

  14. Bonde M, Sørensen JT: Effect of pig production systems and transport on the pathogen transfer risk into the food chain from Salmonella shed in pig faeces. Improving Sustainability in Organic and Low Input Food Production Systems. Proceedings of the 3rd International Congress of the European Integrated Project Quality Low Input Food (QLIF). University of Hohenheim, Germany, March 20-23 2007. 2007, Frick, CH: FiBL, 104-107.

    Google Scholar 

  15. Tamm L, Köpke U, Cohen Y, Leifert C: Development of strategies to improve quality and safety and reduce cost of production in organic 'low input' crop production systems. Improving Sustainability in Organic and Low Input Food Production Systems. Proceedings of the 3rd International Congress of the European Integrated Project Quality Low Input Food (QLIF). University of Hohenheim, Germany, March 20-23 2007. 2007, Frick, CH: FiBL, 104-107.

    Google Scholar 

  16. Brandt K, Mølgaard JP: Organic agriculture: does it enhance or reduce the nutritional value of plant foods?. J Sci Food Agric. 2001, 81: 924-31. 10.1002/jsfa.903.

    CAS  Article  Google Scholar 

  17. Holmboe-Ottesen G: Increased levels of bioactive compounds in organically grown food plants. Possible health effects?. Bioactive compounds in plants - benefits for man and animals. Edited by: Bernhoft A. 2010, Oslo: Novus forlag, 236-252. [http://www.dnva.no/geomed]

    Google Scholar 

  18. Butler G, Collomb M, Rehberger B, Sanderson R, Eyre M, Leifert C: Conjugated linoleic acid isomer concentrations in milk from high- and low-input management dairy systems. J Sci Food Agric. 2009, 89: 697-705. 10.1002/jsfa.3504.

    CAS  Article  Google Scholar 

  19. Rist L, Mueller A, Barthel C, Snijders B, Jansen M, Simoes-Wust AP, Huber M, Kummeling I, von Mandach U, Steinhart H, Thijs C: Influence of organic diet on the amount of conjugated linoleic acids in breast milk of lactating women in the Netherlands. Br J Nutr. 2007, 97: 735-43. 10.1017/S0007114507433074.

    CAS  Article  PubMed  Google Scholar 

  20. Dangour AD, Dodhia SK, Hayter A, Allen E, Lock K, Uauy R: Nutritional quality of organic foods: a systematic review. Am J Clin Nutr. 2009, 90: 680-5. 10.3945/ajcn.2009.28041.

    CAS  Article  PubMed  Google Scholar 

  21. Dangour AD, Lock K, Hayter A, Aikenhead A, Allen E, Uauy R: Nutrition-related health effects of organic foods: a systematic review. Am J Clin Nutr. 2010, 92: 203-10. 10.3945/ajcn.2010.29269.

    CAS  Article  PubMed  Google Scholar 

  22. Benbrook C, Davis DR, Andrews PK: Methodologic flaws in selecting studies and comparing nutrient concentrations led Dangour et al to miss the emerging forest amid the trees. Am J Clin Nutr. 2009, 90: 1700-1. 10.3945/ajcn.2009.28605.

    CAS  Article  PubMed  Google Scholar 

  23. Hamm U, Gronefeld F, Hamm U, Gronefeld F: The European market for organic food: revised and updated analysis. 2004, University of Wales Aberystwyth (School of Management and Business)

    Google Scholar 

  24. Terragni L, Torjusen H, Vittersø G: The dynamics of alternative food consumption: contexts, opportunities and transformations. Anthropology of food [Webjournal], S5. 2009, [http://aof.revues.org/index6400.html]

    Google Scholar 

  25. Norwegian Agricultural Authority: Produksjon og omsetning av økologiske landbruksvarer. Rapport for 2009. [Report in Norwegian: Production and sales of organic products. Report for 2009.]. 2010, Oslo: Norwegian Agricultural Authority

    Google Scholar 

  26. 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: 1146-50. 10.1093/ije/dyl170.

    Article  PubMed  Google Scholar 

  27. Meltzer HM, Brantsaeter AL, Ydersbond TA, Alexander J, Haugen M: Methodological challenges when monitoring the diet of pregnant women in a large study: experiences from the Norwegian Mother and Child Cohort Study (MoBa). Matern Child Nutr. 2008, 4: 14-27. 10.1111/j.1740-8709.2007.00104.x.

    Article  PubMed  Google Scholar 

  28. Statistics Norway: Defining geographic location of a municipality in relation to urban settlements of various sizes. (Accessed Sept 2009), [http://www3.ssb.no/stabas/ItemsFrames.asp?ID=5285601&Language=en&VersionLevel=classversion&MenuChoice=Language]

  29. Storstad O, Bjørkhaug H: Foundations of production and consumption of organic food in Norway: Common attitudes among farmers and consumers?. Agriculture and Human Values. 2003, 20: 151-63. 10.1023/A:1024069627349.

    Article  Google Scholar 

  30. Beckmann SC, Brokmose S, Lind RL: Danske forbrugere og økologiske fødevarer. [Report in Danish: Danish consumers and organic foods]. 2001, Copenhagen: Copenhagen Business School

    Google Scholar 

  31. Nilsen RM, Vollset SE, Gjessing HK, Skjaerven R, Melve KK, Schreuder P, Alsaker ER, Haug K, Daltveit AK, Magnus P: 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.

    Article  PubMed  Google Scholar 

  32. Holt GC: "Ecological eating", food ideology and food choice. An analysis of the changing British diet with reference to the consumption of meat and organically produced food. 1993, Food Policy Research Unit, Department of Biomedical Sciences, University of Bradford, UK

    Google Scholar 

  33. Torjusen H, Nyberg A, Wandel M: Økologisk produsert mat: Forbrukernes vurderinger og bruksmønster [Report in Norwegian: Organic food: consumers' perceptions and dietary choices]. 1999, Professional Report no. 5-1999. Oslo: National Institute for Consumer Research (SIFO)

    Google Scholar 

  34. American Dietetic Association: Position of the American Dietetic Association: Vegetarian Diets. Journal of the American Dietetic Association. 2009, 109: 1266-82. 10.1016/j.jada.2009.05.027.

    Article  Google Scholar 

  35. Key TJ, Appleby PN, Rosell MS: Health effects of vegetarian and vegan diets. Proc Nutr Soc. 2006, 65: 35-41. 10.1079/PNS2005481.

    CAS  Article  PubMed  Google Scholar 

  36. Key TJ, Appleby PN, Spencer EA, Travis RC, Roddam AW, Allen NE: Cancer incidence in vegetarians: results from the European Prospective Investigation into Cancer and Nutrition (EPIC-Oxford). Am J Clin Nutr. 2009, 89: 1620S-1626. 10.3945/ajcn.2009.26736M.

    CAS  Article  PubMed  Google Scholar 

  37. Tonstad S, Butler T, Yan R, Fraser GE: Type of vegetarian diet, body weight, and prevalence of type 2 diabetes. Diabetes Care. 2009, 32: 791-6. 10.2337/dc08-1886.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Schryver T, Smith C, Wall M: Self-identities and BMI of Minnesotan soy consumers and non-consumers. Obesity. 2007, 15: 1101-6. 10.1038/oby.2007.631.

    Article  PubMed  Google Scholar 

  39. Brooks GA, Butte NF, Rand WM, Flatt JP, Caballero B: Chronicle of the Institute of Medicine physical activity recommendation: how a physical activity recommendation came to be among dietary recommendations. Am J Clin Nutr. 2004, 79: 921S-30S.

    CAS  PubMed  Google Scholar 

  40. ACOG Committee on Obstetric Practice: Committee opinion #267: exercise during pregnancy and the postpartum period. Obstetrics & Gynecology. 2002, 99: 171-3.

    Article  Google Scholar 

  41. Royal College of Obstetricians and Gynecologists: Exercise in pregnancy. Statement no 4. 2006, [http://www.rcog.org.uk/womens-health/clinical-guidance/exercise-pregnancy]

    Google Scholar 

  42. Siega-Riz AM, Viswanathan M, Moos MK, Deierlein A, Mumford S, Knaack J, Thieda P, Lux LJ, Lohr KN: A systematic review of outcomes of maternal weight gain according to the Institute of Medicine recommendations: birthweight, fetal growth, and postpartum weight retention. Am J Obstet Gynecol. 2009, 201: 339-14. 10.1016/j.ajog.2009.07.002.

    Article  PubMed  Google Scholar 

  43. Kramer MS, Morin I, Yang H, Platt RW, Usher R, McNamara H, Joseph KS, Wen SW: Why are babies getting bigger? Temporal trends in fetal growth and its determinants. J Pediatr. 2002, 141: 538-42. 10.1067/mpd.2002.128029.

    Article  PubMed  Google Scholar 

  44. Bhattacharya S, Campbell DM, Liston WA, Bhattacharya S: Effect of Body Mass Index on pregnancy outcomes in nulliparous women delivering singleton babies. BMC Public Health. 2007, 7: 168-10.1186/1471-2458-7-168.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Jansson N, Nilsfelt A, Gellerstedt M, Wennergren M, Rossander-Hulthen L, Powell TL, Jansson T: Maternal hormones linking maternal body mass index and dietary intake to birth weight. Am J Clin Nutr. 2008, 87: 1743-9.

    CAS  PubMed  Google Scholar 

  46. Sebire NJ, Jolly M, Harris J, Regan L, Robinson S: Is maternal underweight really a risk factor for adverse pregnancy outcome? A population-based study in London. BJOG. 2001, 108: 61-6. 10.1016/S0306-5456(00)00021-8.

    CAS  PubMed  Google Scholar 

  47. Aloufy A, Latzer Y: Diet or health--the linkage between vegetarianism and anorexia nervosa. Harefuah. 2006, 145: 526-31-549.

    Google Scholar 

  48. Juhl M, Madsen M, Andersen AM, Andersen PK, Olsen J: Distribution and predictors of exercise habits among pregnant women in the Danish National Birth Cohort. Scand J Med Sci Sports. 2010,

    Google Scholar 

  49. Norwegian Directorate of Health: A national clinical guideline for antenatal care. Short version - recommendations. Nasjonale retningslinjer for svangerskapsomsorgen (in Norwegian). 2006, 13-4.

    Google Scholar 

  50. Luoto R, Prattala R, Uutela A, Puska P: Impact of unhealthy behaviors on cardiovascular mortality in Finland, 1978-1993. Prev Med. 1998, 27: 93-100. 10.1006/pmed.1997.0249.

    CAS  Article  PubMed  Google Scholar 

  51. Laaksonen M, Prattala R, Lahelma E: Sociodemographic determinants of multiple unhealthy behaviours. Scand J Public Health. 2003, 31: 37-43.

    Article  PubMed  Google Scholar 

  52. Alfven T, Braun-Fahrlander C, Brunekreef B, von Mutius E, Riedler J, Scheynius A, van Hage M, Wickman M, Benz MR, Budde J, Michels KB, Schram D, Ublagger E, Waser M, Pershagen G, PARSIFAL study group: Allergic diseases and atopic sensitization in children related to farming and anthroposophic lifestyle--the PARSIFAL study. Allergy. 2006, 61: 414-21. 10.1111/j.1398-9995.2005.00939.x.

    CAS  Article  PubMed  Google Scholar 

  53. Floistrup H, Swartz J, Bergstrom A, Alm JS, Scheynius A, van Hage M, Waser M, Braun-Fahrlander C, Schram-Bijkerk D, Huber M, Zutavern A, von Mutius E, Ublagger E, Riedler J, Michaels KB, Pershagen G, Parsifal Study Group: Allergic disease and sensitization in Steiner school children. J Allergy Clin Immunol. 2006, 117: 59-66. 10.1016/j.jaci.2005.09.039.

    Article  PubMed  Google Scholar 

  54. Alm JS, Swartz J, Lilja G, Scheynius A, Pershagen G: Atopy in children of families with an anthroposophic lifestyle. Lancet. 1999, 353: 1485-8. 10.1016/S0140-6736(98)09344-1.

    CAS  Article  PubMed  Google Scholar 

  55. Grunert SC, Kristensen K: Den danske forbruger og økologiske fødevarer. [Report in Danish: The Danish Consumer and Organic Food]. Working paper, Series H no. 62. 1992, The Aarhus School of Business. Department of Information Science, Aarhus

    Google Scholar 

  56. Infood: Forbrugernotat. [Report in Danish: Consumer report]. 1997, [http://www.ecoweb.dk/infood/not9708.htm]

    Google Scholar 

  57. Ott SL: Supermarket shoppers' pesticide concerns and willingness to purchase certified pesticide residue-free fresh produce. Agribusiness. 1990, 6: 593-602. 10.1002/1520-6297(199011)6:6<593::AID-AGR2720060606>3.0.CO;2-Z.

    Article  Google Scholar 

  58. Jolly DA: Differences between buyers and nonbuyers of organic produce and willingness to pay organic price premium. Journal of Agribusiness. 1991, 9: 97-111.

    Google Scholar 

  59. Bugge A, Wandel M: Forbrukerholdninger til moderne matvareproduksjon. Landbruksøkonomisk forum. 1995, 12: 15-25.

    Google Scholar 

  60. O'Doherty Jensen K, Larsen HN, Mølgaard JP, Andersen J-O, Tingstad A, Marckmann P, Astrup A: Økologiske fødevarer og menneskets sundhed. Rapport fra vidensyntese udført i regi af Forskningsinstitut for Human Ernæring, KVL. [Report in Danish: Organic foods and Human Health.]. 2001, Foulum: Danish Research Centre for Organic Farming

    Google Scholar 

  61. Wier M, O'Doherty Jensen K, Andersen LM, Millock K: The character of demand in mature organic food markets: Great Britain and Denmark compared. Food Policy. 2008, 33: 406-21. 10.1016/j.foodpol.2008.01.002.

    Article  Google Scholar 

  62. Torjusen H: Økologisk mat. Hindringer og muligheter for forbruk av økologisk mat sett fra forbrukernes side [Report in Norwegian: Obstacles and possibilities to organic food consumption in Norway]. 2001, Project Report no. 16-2001. Oslo: National Institute for Consumer Research (SIFO)

    Google Scholar 

  63. Torjusen H, Lieblein G, Wandel M, Francis CA: Food system orientation and quality perception among consumers and producers of organic food in Hedmark County, Norway. Food Quality and Preference. 2001, 12: 207-16. 10.1016/S0950-3293(00)00047-1.

    Article  Google Scholar 

  64. Huang CL: Consumer preferences and attitudes towards organically grown produce. European Review of Agricultural Economics. 1996, 23: 331-42.

    Article  Google Scholar 

  65. Byrne PJ, Toensmeyer UC, German CL, Muller HR: Analysis of consumer attitudes toward organic produce and purchase likelihood. Journal of Food Distribution Research. 1991, 22: 49-62.

    Google Scholar 

  66. Wier M, Andersen LM: Consumer demand for organic foods: Attitudes, values and purchasing behaviour. DARCOFenews. 2003, [http://orgprints.org/1829/1/darcof.pdf]

    Google Scholar 

  67. Codron JM, Siriex L, Reardon T: Social and environmental attributes of food products in an emerging mass market: Challenges of signaling and consumer perception, with European illustrations. Agriculture and Human Values. 2006, 23: 283-97. 10.1007/s10460-006-9000-x.

    Article  Google Scholar 

Pre-publication history

Download references

Acknowledgements

This project was supported by a grant from The Research Council of Norway, The Food Programme (project no. 176827). The Norwegian Mother and Child Cohort Study is supported by the Norwegian Ministry of Health, NIH/NIEHS (grant no N01-ES-85433), NIH/NINDS (grant no.1 UO1 NS 047537-01), and the Norwegian Research Council/FUGE (grant no. 151918/S10).

We gratefully acknowledge Sesilje Elise Bondo Petersen and Sjurdur Frodi Olsen at The Danish National Birth Cohort for inspiring cooperation.

Finally, we wish to thank the members of the MoBa Organic Food Reference Group for their generous and insightful support. The MoBa Organic Food Reference Group consists of Jan Alexander, Division of Environmental Medicine, The Norwegian Institute of Public Health, Oslo, Norway; Leiv S. Bakketeig, Division of Epidemiology, The Norwegian Institute of Public Health, Oslo, Norway; Jane A. Hoppin, The Epidemiology Branch of the National Institute of Environmental Health Sciences - National Institutes of Health, North Carolina, USA; Jon Magne Holten, Oikos - Organic Norway, Oslo, Norway; Katherine O'Doherty Jensen, Department of Human Nutrition, University of Copenhagen, Copenhagen, Denmark; Jackie Swartz, Vidarkliniken, Järna, Sweden.

Author information

Authors and Affiliations

  1. Division of Environmental Medicine, Norwegian Institute of Public Health, Oslo, Norway

    Hanne Torjusen, Anne Lise Brantsæter, Margaretha Haugen & Helle Margrete Meltzer

  2. National Institute for Consumer Research (SIFO), Oslo, Norway

    Hanne Torjusen & Gun Roos

  3. Department of Plant and Environmental Sciences, Norwegian University of Life Sciences, Ås, Norway

    Geir Lieblein

  4. Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway

    Hein Stigum

  5. Department of General Practice and Community Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway

    Gerd Holmboe-Ottesen

Authors
  1. Hanne Torjusen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anne Lise Brantsæter
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Margaretha Haugen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Geir Lieblein
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hein Stigum
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Gun Roos
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Gerd Holmboe-Ottesen
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Helle Margrete Meltzer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hanne Torjusen.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

HMM initiated and was PI of the study. HT and HMM designed the study. HT performed the statistical analysis assisted by HS, ALB and MH. HT wrote the manuscript. ALB, GL, GR, MH and GHO participated in the design of the study and contributed to the manuscript. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Torjusen, H., Brantsæter, A.L., Haugen, M. et al. Characteristics associated with organic food consumption during pregnancy; data from a large cohort of pregnant women in Norway. BMC Public Health 10, 775 (2010). https://doi.org/10.1186/1471-2458-10-775

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2458-10-775

Keywords

  • Food Group
  • Organic Food
  • Food Category
  • Vegetarian Diet
  • Frequent Consumption

BMC Public Health

ISSN: 1471-2458

Contact us