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Association between parental motives for food choice and eating patterns of 12- to 13-year-old Norwegian children

Published online by Cambridge University Press:  04 October 2012

Inger M Oellingrath*
Affiliation:
Faculty of Health and Social Sciences, Department of Health Studies, Telemark University College, PO Box 201, 3914 Porsgrunn, Norway
Margrethe Hersleth
Affiliation:
Nofima – Norwegian Institute of Food, Fisheries and Aquaculture Research, Ås, Norway
Martin V Svendsen
Affiliation:
Department of Occupational and Environmental Medicine, Telemark Hospital, Skien, Norway
*
*Corresponding author: Email Inger.M.Oellingrath@hit.no
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Abstract

Objective

To determine (i) the importance of parents’ motives for everyday family food choices; and (ii) the relationship between parental food choice motives and eating patterns of 12- to 13-year-old children.

Design

Cross-sectional study. A modified version of the Food Choice Questionnaire was used to determine parental motives for food choices. The children's food and drink intake was reported by their parents using a retrospective FFQ. Eating patterns were derived using principal component analysis. The association between food choice motives and eating patterns was examined using multiple linear regression analysis.

Setting

Primary schools, Telemark County, Norway.

Subjects

In total, 1095 children aged 12–13 years and their parents.

Results

The parental motive ‘sensory appeal’ was the most important for food choice, followed by ‘health’, ‘convenience’, ‘natural content’ and ‘weight control’. The food choice motives were associated with the eating patterns of the children, independent of background variables. The motive ‘health’ was most strongly associated with a ‘varied Norwegian’ eating pattern, representing a diverse diet and regular meals, while the motive ‘convenience’ appeared to be the most important barrier to this eating pattern. ‘Weight control’ was not associated with the ‘varied Norwegian’ eating pattern.

Conclusions

To encourage parents to make healthy food choices for their children, health promotion activities should focus on the health benefits of a diverse diet and regular meals, rather than weight control. Recommended food products should be made more convenient and easily available for families with children.

Type
Epidemiology
Copyright
Copyright © The Authors 2012 

Dietary choice may have important consequences for health(1). Of particular concern are unhealthy diets and energy imbalances in children and adolescents(2), as overweight and obesity in young people may have adverse consequences on physical morbidity in adulthood and result in premature mortality(Reference Reilly and Kelly3). National studies among 8- to 13-year-old Norwegian children show a lower intake of fruit and vegetables and a higher intake of sugar than the official dietary recommendations(Reference Samdal, Leversen and Torsheim4). Furthermore, a substantial increase in overweight has been observed in Norwegian schoolchildren over the last 30 years(Reference Andersen, Lillegaard and Overby5, Reference Juliusson, Eide and Roelants6). One priority of the Norwegian health authorities is to improve the eating habits of children by recommending regular meals and a diverse diet high in fibre and low in energy-dense products.

Personal food choices are influenced by a wide spectrum of social, cultural and individual factors(Reference Fotopoulos, Krystallis and Vassallo7Reference Eertmans, Baeyens and Van den Bergh9). At the individual level, the motivation for food choice may be influenced by factors like sensory appeal, convenience, price, habit, weight control, health concerns and ethical concerns. These factors have also been associated with diet quality in adults, and may explain differences in diet linked to socio-economic status(Reference Steptoe, Pollard and Wardle8, Reference Pollard, Steptoe and Wardle10Reference Carrillo, Varela and Salvador15). Individual motives are considered to be modifiable and therefore interesting with regard to health promoting activities. The Food Choice Questionnaire (FCQ) has been developed(Reference Steptoe, Pollard and Wardle8) to assess the motives underlying individual food selection. The FCQ is a multidimensional measure of thirty-six statements relevant to consumers’ food choices.

Parents play a primary role in providing food for their children. The family eating environment, including parental food attitudes, eating behaviour and feeding practices, is central in the development of children's eating habits and weight outcome(Reference Faith, Scanlon and Birch16Reference Birch and Davison20). However, few studies have examined the relationship between parental food choice motives and children's dietary habits(Reference Roos, Lehto and Ray21, Reference Marquis and Shatenstein22). As available data are limited, and the importance of motives may vary between countries and cultures(Reference Eertmans, Victoir and Notelaers23, Reference Januszewska, Pieniak and Verbeke24), additional studies are needed. Norwegian studies of food choice motives have thus far focused on adult consumers’ motives for selecting foods with certain characteristics(Reference Hersleth, Næs and Rødbotten25, Reference Johansen, Naes and Hersleth26), not on the association between parental food choice motives and children's diets.

We have previously reported four distinct eating patterns among primary-school children in Telemark County, Norway, representing both healthy and unhealthy eating habits(Reference Oellingrath, Svendsen and Brantsaeter27, Reference Oellingrath, Svendsen and Brantsaeter28). Parental-reported food choice motive data were collected simultaneously at age 12–13 years. The aims of the present study were to: (i) determine parents’ motives for everyday family food choices; and (ii) investigate the relationship between parental food choice motives and the eating patterns of 12- to 13-year-old children.

Methods

Participants and study design

The present data were obtained from a study of diet, physical activity and BMI development in primary-school children in Telemark County, Norway. The data were collected in the spring of 2010, from children in primary school grade 7 (age 12–13 years). The detailed data collection methods have been described previously(Reference Oellingrath, Svendsen and Brantsaeter27, Reference Oellingrath, Svendsen and Brantsaeter28). In brief, all 104 primary schools in Telemark County were invited to participate in the study, and fifty-three agreed. Written parental consent to inclusion in the study was received for 1095 out of 1503 invited children, representing about half of the county's grade 7 pupils. Complete data on parental-reported food choice motives and children's diet were obtained for 786 participants. The study was conducted according to the guidelines laid down in the Declaration of Helsinki and the research protocol was approved by the Regional Committee for Ethics in Medical Research and the Norwegian Data Inspectorate. Informed written consent was obtained from the parents of all participating children.

Food choice motives

Parental motives for food choices were measured using statements from the original FCQ(Reference Steptoe, Pollard and Wardle8). The original FCQ contained a total of thirty-six statements covering health, mood, convenience, sensory appeal, natural content, price, weight control, familiarity and ethical concerns. After considering the relevance of the different items in the present study, we decided to make the following adjustments: (i) reduce the number of items in the original study's mood dimension from six to three; (ii) omit one statement from the original study's ethical concern dimension; and (iii) add an extra statement – ‘is low in sugar’ – to reflect that the amount of sugar in the diet is an important nutritional issue (Table 1). Accordingly, the parents were presented with thirty-three statements in total (Table 1). All statements had previously been translated into Norwegian using the back-translation procedure(Reference Brislin29, Reference Maneesriwongul and Dixon30) as part of the TRUEFOOD pan-European consumer study(Reference Pieniak, Verbeke and Vanhonacker31). To make the respondents focus on the family diet, the parents were asked to endorse the statement ‘It is important to me that the food we eat on a typical day…’, instead of ‘…the food I eat…’, as in the original questionnaire. To ensure a focus on family diet, the FCQ was presented to the parents after the dietary data. Instead of the original four-category scale(Reference Steptoe, Pollard and Wardle8), a seven-point Linkert scale was used to increase the variability of the measurement scale and thereby allow for better discrimination(Reference Fotopoulos, Krystallis and Vassallo7). The response alternatives ranged from 1 = ‘I totally disagree’ through 4 = ‘I neither agree nor disagree’ to 7 = ‘I totally agree’. Complete food choice motive data were obtained for 840 participants.

Table 1 Summary of initial PCA of current parental food choice statements (varimax rotation, factor loadings >0·45). Parents of children aged 12–13 years, Telemark County, Norway, 2010

PCA, principal component analysis; FCQ, Food Choice Questionnaire.

*When statements from dimension 1 were entered into a separate PCA, they emerged in three sub-dimensions related to health, natural content and ethic concerns, respectively (data not shown).

†Statement not included in the original FCQ.

‡Statements from the original FCQ omitted in the current, modified FCQ.

Dietary information

The children's food and drink intake was reported by their parents using a retrospective FFQ, which asked about habitual daily consumption of forty food items, eleven types of drink, thirteen types of snacks (between meals) and five main meals (breakfast, lunch, afternoon meal, dinner, supper) during the last 6 months. This questionnaire was based on a short FFQ developed for use with children in grades 4 and 8 in Norway, but was modified to include more dietary questions. Before the study, the FFQ was tested on a sample of parents and followed up by qualitative interviews(Reference Schelling and Streitlien32). Response alternatives and other details have been reported previously(Reference Oellingrath, Svendsen and Brantsaeter28). Complete dietary data were obtained for 800 participants.

Socio-economic variables

In addition to providing dietary information and motives for food choice, the parents reported their educational level and family income.

Parental educational level was divided into three categories: ‘primary/lower secondary education’ (10 years or less), ‘upper secondary education’ (3 to 4 years) and ‘university or university college’.

Family income was divided into three categories: ‘both parents <NOK 300 000 (€33 909)’, ‘one parent ≥NOK 300 000’ and ‘both parents ≥NOK 300 000’, where NOK is Norwegian kroner.

BMI categories of children and parents

The weight and height of the children were measured by public health nurses at each school. The children were weighed wearing light clothing (i.e. trousers, T-shirt, socks) using calibrated, electronic scales measuring in 100 g increments. The BMI (kg/m2) of each child was calculated based on these measurements. Child BMI categories were calculated using the International Obesity Taskforce cut-off points (underweight, normal weight, overweight, obese), based on growth curves and BMI values of 17, 25 and 30 kg/m2 at age 18 years(Reference Cole, Flegal and Nicholls33, Reference Cole, Bellizzi and Flegal34). The respective cut-off points for 12·5-year-old boys and girls were used. Due to small numbers, we included underweight children in the normal-weight group and obese children in the overweight group.

Parent BMI categories were calculated based on self-reported height and weight and the International Obesity Taskforce cut-off points for adults (overweight at BMI ≥ 25 kg/m2).

Statistical analyses

An initial principal component analysis (PCA) was performed to investigate whether the same motive dimensions were valid in our sample as in the original FCQ(Reference Steptoe, Pollard and Wardle8). Motive scores were calculated as the mean of the underlying statement scores for each respondent and used as continuous variables in the further analyses. A high motive score indicates high importance of the respective food choice motive, while a lower mean score indicates lower importance. Cronbach's alpha (Cr α) was used as a measure of the internal reliability of each motive. Food choice motives with poor or unacceptable internal reliability (Cr α ≤ 0·70)(Reference George and Mallery35) were omitted from the further analyses.

Four distinct eating patterns had previously been identified from the reported dietary responses using PCA(Reference Oellingrath, Svendsen and Brantsaeter28, Reference Cattell36). The eating patterns were named after the nature of the foods, beverages and meals within each pattern, as follows: (i) a ‘junk/convenient’ pattern, characterised by processed fast foods with high fat and sugar content; (ii) a ‘varied Norwegian’ pattern, characterised by regular main meals and a diverse diet, close to what is recommended by the health authorities; (iii) a ‘snacking’ pattern, characterised by snack items, sugar-sweetened drinks and irregular main meals; and, finally, (iv) a ‘dieting’ pattern, containing foods and drinks often associated with dieting and weight control, like artificially sweetened and low-fat products. Individuals were given factor scores for each of the eating patterns. Positive factor scores indicate high consumption of foods, drinks, snacks and meals within the respective pattern, while negative factor scores indicate low consumption. The factor scores for each eating pattern were used as continuous variables in the present regression analysis.

We used a multiple linear regression model to examine the association between food choice motives and eating patterns as independent and dependent variables, respectively. The potential confounding background variables available for the multiple regression analysis were child's gender, child's overweight, maternal and paternal overweight, maternal and paternal education, and total family income. We employed a stepwise selection that included the variables significantly associated with eating patterns in each model. Adjusting for all of the background variables had little additional impact on the effect estimates.

Only participants for whom complete data on food choice statements and dietary responses were available (n 786) were used in the present analyses. The categorical background variables were constructed as dummy variables before being entered in the regression model.

For all tests, a significance level of P < 0·05 was applied. The questionnaires were scanned by Eyes and Hands (Readsoft Forms, Helsingborg, Sweden), and all statistical analyses were carried out using the SPSS statistical software package version 15.

Results

Of the 786 participants included in the analyses, 50 % were boys and 50 % were girls. Some 52 % of mothers and 39 % of fathers were registered in the highest education category, ‘university or university college’, while 36 % of mothers and 48 % of fathers fell into the category ‘upper secondary education’ and 12 % of mothers and 13 % of fathers fell into the lowest education category – ‘primary/lower secondary education’. In total, 89 % of the parents were registered in the two highest categories of family income. Furthermore, 16 % of the children (objective measures), 36 % of mothers and 53 % of fathers (self-reported data) were registered as overweight.

The initial PCA identified eight motive dimensions (Table 1). Dimension 1 included statements concerning health, natural content and ethical concerns. When the statements of dimension 1 were analysed in a separate PCA, three distinct patterns related to health, natural content and ethical concerns emerged (data not shown). Dimension 2 included statements related to personal mood and emotion. Two statements related to sensory quality and one statement related to personal weight control also emerged in this dimension. Dimensions 3 and 8 respectively included statements related to convenient cooking and food availability. Dimensions 4, 5, 6 and 7 included statements related to weight control, sensory quality, familiarity and price.

We decided to use the original dimensions(Reference Steptoe, Pollard and Wardle8) to calculate food choice motives and labelled them accordingly. The internal reliability of the current food choice motives (Cr α) ranged from 0·55 to 0·84 (Table 2). The motives ‘price’, ‘ethical concerns’ and ‘familiarity’ were omitted from the regression analyses due to poor or unacceptable internal reliability (Cr α ≤ 0·70)(Reference George and Mallery35). The food choice motive ‘sensory appeal’ was found to be the most important motive behind everyday parental food choices, followed by the motives ‘health’, ‘convenience’, ‘natural content’ and ‘weight control’ (Table 2). The motives ‘mood’, ‘price’ and ‘ethical concerns’ were of less importance, and the motive ‘familiarity’ was rated least important by the parents (Table 2). The ranking order of the food choice motives was determined independently of socio-economic background and BMI of the parents and children (data not shown).

Table 2 Parental food choice motives (n 786) including thirty-three individual statements, calculated motive scores, standard deviation and internal reliability (Cronbach's alpha, Cr α). Parents of children aged 12–13 years, Telemark County, Norway, 2010

Multiple regression analysis of the associations between parental food choice motives and children's eating patterns (Table 3) showed that the strongest associations appeared between the motive ‘health’ and the ‘varied Norwegian’ eating pattern, and between the motive ‘weight control’ and the ‘dieting’ pattern. In addition, negative associations were observed between both the ‘health’ (strongest association) and ‘weight control’ motives and the ‘junk/convenient’ eating pattern. Negative association was also evident between the ‘weight control’ motive and the ‘snacking’ pattern. The ‘mood’ motive was positively associated with the ‘junk/convenient’ pattern and the ‘snacking’ pattern, while ‘convenience’ was positively correlated with the ‘junk/convenient’ pattern and negatively associated with the ‘varied Norwegian’ eating pattern. ‘Sensory appeal’ and ‘natural content’ were negatively associated with the ‘dieting’ pattern, while ‘natural content’ was positively associated with the ‘varied Norwegian’ eating pattern. All associations were observed independently of available background variables (Table 3, adjusted model).

Table 3 Association (beta coefficients and 95 % confidence intervals) between parental food choice motive scores and children's eating pattern scores (n 786). Parents and children aged 12–13 years, Telemark County, Norway, 2010

Significant associations are indicated in bold font.

*Adjusted for other food choice motives and significantly associated background variables.

Discussion

In the present study, ‘sensory appeal’ emerged as the most important motive for food choice, followed by ‘health’, ‘convenience’ and ‘natural content’ (Table 2). Although country-specific consumer differences are evident(Reference Eertmans, Victoir and Notelaers23, Reference Januszewska, Pieniak and Verbeke24), several other studies have identified the same four motives as being among the most important for individual food choice(Reference Steptoe, Pollard and Wardle8, Reference Pollard, Steptoe and Wardle10, Reference Roos, Lehto and Ray21). ‘Sensory appeal’ has been identified as the most important motive in previous studies(Reference Hersleth, Næs and Rødbotten25, Reference Prescott, Young and O'Neill37) and is based on statements related to ‘smell’, ‘appearance’, ‘texture’ and ‘taste’. However, to be able to market healthy food, additional studies are needed on what ‘sensory appeal’ means to children and adults respectively. ‘Natural content’ has emerged as relatively important in recently published studies(Reference Roos, Lehto and Ray21, Reference Januszewska, Pieniak and Verbeke24, Reference Hersleth, Næs and Rødbotten25). The latter may be due to increased concern among consumers regarding the use of artificial additives in foods and drinks.

Given the intense focus on dieting and weight control by health authorities and the media in recent years, it seemed likely that the food choice motive ‘weight control’ would have a relatively high importance. However, ‘weight control’ was not among the four most important parental motives defined in the present study. One possible explanation may be, as suggested by others(Reference Roos, Lehto and Ray21), that parents consider weight control to be less important when focusing on the family diet than when focusing on their personal diet.

The importance of ‘price’ as a motive factor for food choice has previously been highly ranked in several studies, especially among low-income groups(Reference Steptoe, Pollard and Wardle8, Reference Pollard, Steptoe and Wardle10, Reference Carrillo, Varela and Salvador15). In the present study, however, ‘price’ was among the motives considered least important by parents. This may partly be explained by Norway's high standard of living and high wage levels, which mean that only about 10 % of consumers’ income is spent on food. Furthermore, most of the participants (89 %) in the present study fell into the two upper categories of family income.

All of the food choice motives included in the regression analysis were significantly associated with one or more of the eating patterns of the children (Table 3). The strongest associations were observed between the parental food choice motive ‘health’ and the ‘varied Norwegian’ eating pattern, and between the motive ‘weight control’ and the ‘dieting’ pattern.

Children with parents who rated ‘health’ as important scored highly on the ‘varied Norwegian’ eating pattern and low on the ‘junk/convenient’ eating pattern, indicating a high intake of a diverse diet comprising regular meals and a low intake of high-energy foods and fast food. The observed associations are similar to those found in adult studies(Reference Pollard, Steptoe and Wardle10, Reference Sun38) and among Finnish families(Reference Roos, Lehto and Ray21). Children with parents who considered ‘weight control’ important scored highly on the ‘dieting’ pattern and low on the ‘junk/convenient’ and ‘snacking’ patterns, although no significant association was observed between ‘weight control’ and the ‘varied Norwegian’ eating pattern. The results indicate that parental weight concerns may be a promoter to a high intake of ‘light’ products rather than the recommended diverse diet.

We have previously reported that adherence to the ‘varied Norwegian’ eating pattern was favourable in maintaining normal weight status and achieving a change from overweight to normal weight in children, compared with adherence to the ‘dieting’ pattern(Reference Oellingrath, Svendsen and Brantsaeter28). Moreover, dieting behaviour and strict food restrictions have been associated with overweight in children and adolescents in other studies(Reference Neumark-Sztainer, Wall and Haines39Reference Clark, Goyder and Bissell41). The present results emphasise the importance of focusing on parents’ health concerns, rather than their weight concerns, when promoting healthy eating by children. Furthermore, the present results indicate that ‘natural content’ may promote the ‘varied Norwegian’ eating pattern and be a barrier to the ‘dieting’ eating pattern, a finding similar to associations found among Finnish families(Reference Roos, Lehto and Ray21). Hence, highlighting the importance of natural ingredients and low additive content could be an additional way to encourage parents to purchase recommended foods for their children.

The motive ‘convenience’ was associated with high scores for the ‘junk/convenient’ eating pattern and low scores for the ‘varied Norwegian’ eating pattern, indicating that parents consider healthy foods to be less accessible and more time-consuming and difficult to prepare. The results suggest that ‘convenience’ may act as a barrier to recommended foods and regular meals and as a promoter to easily accessible, quick ‘junk’ foods. Fast food purchases for family meals in busy families and high availability of unhealthy food at home have previously been associated with high intakes of such foods among adolescents(Reference Boutelle, Fulkerson and Neumark-Sztainer42, Reference Vereecken, Haerens and De Bourdeaudhuij43). Furthermore, the idea that healthy foods and meals are generally difficult to prepare is likely to be common among many consumers(Reference Pieniak, Verbeke and Vanhonacker31, Reference Almli, Verbeke and Vanhonacker44). To improve children's diet, health authorities should strive to make healthy food more easily available, develop new products that are easy to prepare, and make families with children aware of easy ways to prepare healthy food.

‘Sensory appeal’ was the most important parental motive for food choice overall, but was only associated with the children's ‘dieting’ pattern. The lack of association with the other eating patterns indicates that sensory quality is important across most food types(Reference Pollard, Steptoe and Wardle10).

The parental motive ‘mood’ was positively associated with the two unhealthy eating patterns ‘snacking’ and ‘junk/convenient’. The ‘mood’ motive contains items related to emotional state, relaxation and stress control, and the results suggest that this may have a stronger association with recreational and emotional eating than with the basic diet and everyday food.

The present study has strengths, but also limitations that should be recognised. One strength is the large sample of respondents and the relatively high response rate. Furthermore, the study included several background variables considered important with regard to diet and food choice motive variability. Another strength of the study is the use of PCA-derived eating patterns as a measure of the children's overall dietary and meal habits, as opposed to individual nutrients, single food items, single meals or indices containing just a few indicators of a healthy or unhealthy diet(Reference Hu45). The present FFQ represented a wide range of commonly used food items, snack products, drinks and meals, resulting in robust factors (eating patterns) that all include multiple items.

The FCQ used in the present study was modified to make the parents focus on the family's diet rather than their own preferences. We used thirty-two of the thirty-six original statements, and added one new statement. The initial PCA defined underlying dimensions comparable to those defined by the original FCQ(Reference Steptoe, Pollard and Wardle8) and only minor deviations were observed. Consequently, we used the original dimensions to calculate food choice motives, as they are easy to interpret and have been found valid and reliable in other samples. This may have caused weaker correlations between food choice motives and diet data than if dimensions based strictly on the current PCA had been used. Furthermore, the internal reliability of the calculated motives was somewhat lower than in the original FCQ(Reference Steptoe, Pollard and Wardle8) and in the modified FCQ used in six European countries(Reference Pieniak, Verbeke and Vanhonacker31), possibly due to the modifications described. Nevertheless, the motives used in the regression analyses had acceptable internal reliability (Cr α ≥ 0·70)(Reference George and Mallery35).

We had previously collected parent-reported dietary data on the same children at age 9–10 years(Reference Oellingrath, Svendsen and Brantsaeter27). The present study was a follow-up, and parental reporting was chosen to avoid differing data collection conditions at the two collection times, and to reduce under-reporting, which is thought to be common among adolescents(Reference Livingstone and Robson46). We cannot exclude the possibility that the dietary reports were influenced by parental under-reporting of unhealthy items or over-reporting of healthy products, as parents are probably less aware of what their children eat outside the home(Reference Livingstone and Robson46). Further, biases caused by errors in memory cannot be excluded(Reference Drewnowski47). Consequently, it is likely that the dietary data reflect the parents’ ‘dietary image’ rather than the true habitual diet of the children(Reference Drewnowski47). The current FFQ data were used to derive dietary patterns which reflect dietary behaviour. Dietary patterns are less likely to be distorted by misreporting than estimated intakes of energy, nutrients and food amounts. The reproducibility and validity of PCA-derived dietary patterns assessed using FFQ have previously been found to be comparable to those of patterns obtained by weighed dietary records(Reference Khani, Ye and Terry48Reference Togo, Heitmann and Sorensen50). Any parental misreporting of food items is likely to have attenuated the association between food choice motives and eating patterns.

Parents may over-report socially acceptable motives(Reference Roos, Lehto and Ray21). Therefore, we cannot exclude the possibility that some parents answered the questions with their personal food preferences in mind. However, the FCQ was presented to the parents after the FFQ, and the introduction to the statements was modified to make the parents focus on the family's diet rather than their own preferences. This is likely to have helped the parents keep the family diet in mind when reporting their food choice motives.

It can be assumed that social background and family weight status may have influenced the parental food choice motives and the children's eating habits(Reference Steptoe, Pollard and Wardle8, Reference Steptoe and Wardle11, Reference Crossley and Khan12, Reference Birch and Davison20). Clear associations have previously been reported between eating patterns and parental education levels, maternal overweight and the tracking of children's overweight(Reference Oellingrath, Svendsen and Brantsaeter27, Reference Oellingrath, Svendsen and Brantsaeter28). However, the observed associations between food choice motives and eating patterns remained almost unchanged when adjusted for the background variables, indicating an important independent association, also observed by others(Reference Roos, Lehto and Ray21). It should be noted that self-reported weight is prone to under-reporting. This may have biased the effect of parental BMI categories in the adjusted models.

It should be recognised that in the present study the food choice motives explained only part of the variation observed in the children's dietary data. Children's eating patterns may be influenced by other factors inside and outside the home, like television advertisements, peers, etc. Furthermore, the FCQ reports the food choice motives of individuals, a limited part of the complex range of factors related to food choice(Reference Eertmans, Baeyens and Van den Bergh9). The present study's cross-sectional design eliminates the possibility of identifying causal relationships between parental food choice motives and children's eating patterns.

Another possible limitation is bias due to missing data. However, as complete data were obtained for more than 70 % of the respondents, and because those with missing data did not differ substantially from the rest in terms of available background variables, we consider this problem to be limited. The data collection was undertaken in one Norwegian county only and the results are not necessarily representative of the national population. Furthermore, the participating parents had a somewhat higher education level and total family income than the Norwegian population in general.

Conclusions

The parental motive ‘sensory appeal’ emerged as the most important overall motive for food choices concerning the family's daily diet, followed by the motives ‘health’, ‘convenience’, ‘natural content’ and ‘weight control’. All food choice motives included in the regression analysis were significantly associated with one or more of the child eating patterns. The motive ‘health’ was the parental food choice motive which was most strongly associated with a varied diet and regular meals, while the motive ‘convenience’ appeared to be an important barrier in this regard.

The results indicate that parental food choice motives may have important implications for the diet of children. To help and stimulate parents to make healthy food choices, health promotion activities targeted at families with children should focus on the health benefits and naturalness of recommended foods, a varied diet and regular meals, rather than emphasising weight control. In order to increase the intake of healthy foods by children, authorities should strive to make a diverse selection of healthy foods easily available, stimulate the development of new, healthy products which are easy to prepare, and make families with children aware of easy ways to prepare healthy food.

Acknowledgements

Sources of funding: This research was supported by Telemark University College, Telemark Hospital, the Research Council of Norway and the Public Health Programme for Telemark. Conflicts of interest: The authors declare no conflict of interest. Authors’ contributions: I.M.O and M.V.S. were responsible for the study design and data collection. M.V.S. was responsible for the statistical analyses. M.H. provided the Norwegian version of the FCQ and all authors contributed to the interpretation of results. I.M.O. drafted the manuscript and M.H. and M.V.S. revised it critically. All authors read and approved the final version of the manuscript. Acknowledgements: The authors appreciate the cooperation of the children and their parents, the faculty and staff of the Telemark County primary and lower secondary schools, and the public health nurses who participated in the study. They would like to thank Dr Anne Lise Brantsæter, Norwegian Institute of Public Health, for useful comments on the manuscript.

References

1.World Health Organization (2003) Diet, Nutrition and the Prevention of Chronic Diseases. WHO Technical Report Series no. 916. Geneva: WHO.Google Scholar
2.World Health Organization (2003) Global Strategy on Diet, Physical Activity and Health. Geneva: WHO; available at http://www.who.int/dietphysicalactivity/en/Google Scholar
3.Reilly, JJ & Kelly, J (2011) Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes (Lond) 35, 891898.CrossRefGoogle ScholarPubMed
4.Samdal, O, Leversen, I, Torsheim, Tet al. (2009) The Health Behaviour in School-Aged Children: WHO Collaborative Cross-National Study (HBSC). Bergen: Norwegian Research Centre for Health Promotion, The University of Bergen.Google Scholar
5.Andersen, LF, Lillegaard, IT, Overby, NCet al. (2005) Overweight and obesity among Norwegian schoolchildren: changes from 1993 to 2000. Scand J Public Health 33, 99106.CrossRefGoogle ScholarPubMed
6.Juliusson, PB, Eide, GE, Roelants, Met al. (2010) Overweight and obesity in Norwegian children: prevalence and socio-demographic risk factors. Acta Paediatr 99, 900905.CrossRefGoogle ScholarPubMed
7.Fotopoulos, C, Krystallis, A, Vassallo, Met al. (2009) Food Choice Questionnaire (FCQ) revisited. Suggestions for the development of an enhanced general food motivation model. Appetite 52, 199208.CrossRefGoogle ScholarPubMed
8.Steptoe, A, Pollard, TM & Wardle, J (1995) Development of a measure of the motives underlying the selection of food – the food choice questionnaire. Appetite 25, 267284.CrossRefGoogle ScholarPubMed
9.Eertmans, A, Baeyens, F & Van den Bergh, O (2001) Food likes and their relative importance in human eating behavior: review and preliminary suggestions for health promotion. Health Educ Res 16, 443456.CrossRefGoogle ScholarPubMed
10.Pollard, TM, Steptoe, A & Wardle, J (1998) Motives underlying healthy eating: using the food choice questionnaire to explain variation in dietary intake. J Biosoc Sci 30, 165179.CrossRefGoogle ScholarPubMed
11.Steptoe, A & Wardle, J (2001) Motivational factors as mediators of socioeconomic variations in dietary intake patterns. Psychol Health 14, 391402.CrossRefGoogle Scholar
12.Crossley, ML & Khan, SN (2001) Health promotion: motives underlying food choice: dentists, porters and dietary health promotion. Br Dent J 191, 198202.CrossRefGoogle ScholarPubMed
13.Pollard, J, Kirk, SFL & Cade, JE (2002) Factors affecting food choice in relation to fruit and vegetable intake: a review. Nutr Res Rev 15, 373387.CrossRefGoogle ScholarPubMed
14.Pollard, J, Greenwood, D, Kirk, Set al. (2002) Motivations for fruit and vegetable consumption in the UK Women's Cohort Study. Public Health Nutr 5, 479486.CrossRefGoogle ScholarPubMed
15.Carrillo, E, Varela, P, Salvador, Aet al. (2011) Main factors underlying consumers’ food choice: a first step for the understanding of attitudes toward ‘healthy eating’. J Sens Stud 26, 8595.CrossRefGoogle Scholar
16.Faith, MS, Scanlon, KS, Birch, LLet al. (2004) Parent-child feeding strategies and their relationships to child eating and weight status. Obes Res 12, 17111722.CrossRefGoogle ScholarPubMed
17.Rossi, A, Moreira, EAM & Rauen, MS (2008) Determinants of eating behavior: a review focusing on the family. Rev Nutr 21, 739748.CrossRefGoogle Scholar
18.Scaglioni, S, Salvioni, M & Galimberti, C (1999) Influence of parental attitudes in the development of children eating behaviour. Br J Nutr 99, Suppl. 1, S22S25.CrossRefGoogle Scholar
19.Birch, LL (1999) Development of food preferences. Annu Rev Nutr 19, 4162.CrossRefGoogle ScholarPubMed
20.Birch, LL & Davison, KK (2001) Family environmental factors influencing the developing behavioral controls of food intake and childhood overweight. Pediatr Clin North Am 48, 893907.CrossRefGoogle ScholarPubMed
21.Roos, E, Lehto, R & Ray, C (2012) Parental family food choice motives and children's food intake. Food Qual Prefer 24, 8591.CrossRefGoogle Scholar
22.Marquis, M & Shatenstein, B (2005) Food choice motives and the importance of family meals among immigrant mothers. Can J Diet Pract Res 66, 7782.CrossRefGoogle ScholarPubMed
23.Eertmans, A, Victoir, A, Notelaers, Get al. (2006) The Food Choice Questionnaire: factorial invariant over western urban populations? Food Qual Prefer 17, 344352.CrossRefGoogle Scholar
24.Januszewska, R, Pieniak, Z & Verbeke, W (2011) Food choice questionnaire revisited in four countries. Does it still measure the same? Appetite 57, 9498.CrossRefGoogle ScholarPubMed
25.Hersleth, M, Næs, T, Rødbotten, Met al. (2012) Lamb meat – importance of origin and grazing system for Italian and Norwegian consumers. Meat Sci 90, 899907.CrossRefGoogle ScholarPubMed
26.Johansen, SB, Naes, T & Hersleth, M (2011) Motivation for choice and healthiness perception of calorie-reduced dairy products. A cross-cultural study. Appetite 56, 1524.CrossRefGoogle ScholarPubMed
27.Oellingrath, IM, Svendsen, MV & Brantsaeter, AL (2010) Eating patterns and overweight in 9- to 10-year-old children in Telemark County, Norway: a cross-sectional study. Eur J Clin Nutr 64, 12721279.CrossRefGoogle ScholarPubMed
28.Oellingrath, IM, Svendsen, M & Brantsaeter, AL (2011) Tracking of eating patterns and overweight – a follow-up study of Norwegian school children from middle childhood to early adolescence. Nutr J 10, 106.CrossRefGoogle ScholarPubMed
29.Brislin, RW (1970) Back-translation for cross-cultural research. J Cross Cult Psychol 1, 185216.CrossRefGoogle Scholar
30.Maneesriwongul, W & Dixon, JK (2004) Instrument translation process: a methods review. J Adv Nurs 48, 175186.CrossRefGoogle ScholarPubMed
31.Pieniak, Z, Verbeke, W, Vanhonacker, Fet al. (2009) Association between traditional food consumption and motives for food choice in six European countries. Appetite 53, 101108.CrossRefGoogle ScholarPubMed
32.Schelling, AB & Streitlien, A (2007) Utprøving av spørreskjema ‘Kostholds- og maltidsmonster, fysisk aktivitet og vektutvikling’ (Pilot study of the questionnaire ‘Diet and eating patterns, physical activity and weight development). Notodden: Telemark Educational Research.Google Scholar
33.Cole, TJ, Flegal, KM, Nicholls, Det al. (2007) Body mass index cut offs to define thinness in children and adolescents: international survey. BMJ 335, 194.CrossRefGoogle ScholarPubMed
34.Cole, TJ, Bellizzi, MC, Flegal, KMet al. (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 320, 12401243.CrossRefGoogle ScholarPubMed
35.George, D & Mallery, P (2011) SPSS for Windows Step by Step: A Simple Guide and Reference 18.0 Update. Boston, MA: Allyn & Bacon.Google Scholar
36.Cattell, RB (1966) The scree test for the number of factors. Multivariate Behav Res 1, 245276.CrossRefGoogle ScholarPubMed
37.Prescott, J, Young, O, O'Neill, Let al. (2002) Motives for food choice: a comparison of consumers from Japan, Taiwan, Malaysia and New Zealand. Food Qual Prefer 13, 489495.CrossRefGoogle Scholar
38.Sun, YHC (2008) Health concern, food choice motives, and attitudes toward healthy eating: the mediating role of food choice motives. Appetite 51, 4249.CrossRefGoogle ScholarPubMed
39.Neumark-Sztainer, D, Wall, M, Haines, Jet al. (2007) Why does dieting predict weight gain in adolescents? Findings from Project EAT-II: a 5-year longitudinal study. J Am Diet Assoc 107, 448455.CrossRefGoogle ScholarPubMed
40.Field, AE, Austin, SB, Taylor, CBet al. (2003) Relation between dieting and weight change among preadolescents and adolescents. Pediatrics 112, 900906.CrossRefGoogle ScholarPubMed
41.Clark, HR, Goyder, E, Bissell, Pet al. (2007) How do parents’ child-feeding behaviours influence child weight? Implications for childhood obesity policy. J Public Health 29, 132141.CrossRefGoogle ScholarPubMed
42.Boutelle, KN, Fulkerson, JA, Neumark-Sztainer, Det al. (2007) Fast food for family meals: relationships with parent and adolescent food intake, home food availability and weight status. Public Health Nutr 10, 1623.CrossRefGoogle ScholarPubMed
43.Vereecken, C, Haerens, L, De Bourdeaudhuij, Iet al. (2010) The relationship between children's home food environment and dietary patterns in childhood and adolescence. Public Health Nutr 13, 17291735.CrossRefGoogle ScholarPubMed
44.Almli, VL, Verbeke, W, Vanhonacker, Fet al. (2011) General image and attribute perceptions of traditional food in six European countries. Food Qual Prefer 22, 129138.CrossRefGoogle Scholar
45.Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.CrossRefGoogle ScholarPubMed
46.Livingstone, MB & Robson, PJ (2000) Measurement of dietary intake in children. Proc Nutr Soc 59, 279293.CrossRefGoogle ScholarPubMed
47.Drewnowski, A (2001) Diet image: a new perspective on the food-frequency questionnaire. Nutr Rev 59, 370372.Google ScholarPubMed
48.Khani, BR, Ye, W, Terry, Pet al. (2004) Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr 134, 15411545.CrossRefGoogle ScholarPubMed
49.Hu, FB, Rimm, E, Smith-Warner, SAet al. (1990) Reproducibilty and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 69, 243249.CrossRefGoogle Scholar
50.Togo, P, Heitmann, BL, Sorensen, TIAet al. (2003) Consistency of food intake factors by different dietary assessment methods and population groups. Br J Nutr 90, 667678.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Summary of initial PCA of current parental food choice statements (varimax rotation, factor loadings >0·45). Parents of children aged 12–13 years, Telemark County, Norway, 2010

Figure 1

Table 2 Parental food choice motives (n 786) including thirty-three individual statements, calculated motive scores, standard deviation and internal reliability (Cronbach's alpha, Cr α). Parents of children aged 12–13 years, Telemark County, Norway, 2010

Figure 2

Table 3 Association (beta coefficients and 95 % confidence intervals) between parental food choice motive scores and children's eating pattern scores (n 786). Parents and children aged 12–13 years, Telemark County, Norway, 2010