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Determinants of adolescents’ soft drink consumption

Published online by Cambridge University Press:  01 January 2008

Elling Bere*
Affiliation:
Department of Nutrition, University of Oslo, Box 1046, Blindern, N-0316 Oslo, Norway Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands
Elin Sørli Glomnes
Affiliation:
Department of Nutrition, University of Oslo, Box 1046, Blindern, N-0316 Oslo, Norway
Saskia J te Velde
Affiliation:
Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands
Knut-Inge Klepp
Affiliation:
Department of Nutrition, University of Oslo, Box 1046, Blindern, N-0316 Oslo, Norway
*
*Corresponding author: Emailellingb@medisin.uio.no
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Abstract

Objective

To identify determinants of adolescents’ consumption of carbonatedsoft drinks (regular and diet), both of total consumption and of consumptionat school.

Design/Setting/Subjects

Regular and diet soft drink consumption was measured by food frequencyquestions that were dichotomised. Several potential environmental andpersonal determinants of consumption were measured. A total of 2870(participation rate: 85%) 9th and 10th graders, within 33 Norwegian schools,participated in the study. Multilevel logistic regression analyses werepreformed for total soft drink consumption (twice a week or more vs. less)and for consumption at school (once a week or more vs. less).

Results

A total of 63% and 27% of the participants reported to drink respectivelyregular and diet soft drinks twice a week or more, and 24% and 8%,respectively, reported to drink soft drinks once a week or more at school.Preferences, accessibility, modelling and attitudes were the strongestdeterminants of both regular and diet soft drink consumption. In addition,gender, educational plans and dieting were related to both total soft drinkconsumption and consumption at school. Pupils with longer distance fromschool to shop and those in schools with rules concerning soft drinkconsumption tended to have lower odds of drinking both regular and diet softdrinks at school.

Conclusion

This study shows that gender, educational plans, dieting, accessibility,modelling, attitudes and preferences all seem to be strong determinants ofadolescents’ soft drink consumption. Parents and the homeenvironment appear as great potential intervention targets.

Type
Research Paper
Copyright
Copyright © The Authors 2007

The World Health Organization (WHO) recommends a diet where a maximum 10% of the energy comes from refined sugar (=added sugar)1. A recent dietary survey reported that Norwegian children and adolescents consume too much added sugarReference Øverby, Lillegaard, Johansson and Andersen2. On average, 18% of the energy consumption of Norwegian 8th grade pupils comes from added sugar, and 89% of the age group have a diet where more than 10% the energy comes from added sugarReference Øverby, Lillegaard, Johansson and Andersen2. Soft drinks contribute 30% of the total intake of added sugarReference Øverby, Lillegaard, Johansson and Andersen2.

It has been speculated that soft drinks may be an important factor in the observed rise in obesity prevalenceReference Ludwig, Peterson and Gortmaker3, Reference Harnack, Stang and Story4. Studies have found soft drink consumption to be positively associated with energy intake among children and adolescentsReference Ludwig, Peterson and Gortmaker3Reference Mrdjenovic and Levitsky5, probably because over-consumption is a particular problem when energy is ingested in liquid form and because these drinks to a large extent represent energy added to, not displacing, other dietary intakeReference Bellisle and Rolland-Cachera6Reference Tordoff and Alleva8. Added sugar (i.e. from soft drinks) supplies the diet only with empty calories, which means just energy and no other nutrients. A national dietary survey reported negative correlations between intake of added sugar and intake of micronutrients and fruit and vegetable consumptionReference Øverby, Lillegaard, Johansson and Andersen2. A diet with less added sugar/soft drinks will therefore be more nutrient-dense. Diet soft drinks contain little or no energy, and are not associated with overweight/obesityReference Tordoff and Alleva8. However, all types of carbonated soft drinks pose a risk of dental caries due to enamel erosion caused by their acidityReference Heller, Burt and Eklund9, Reference Moynihan and Petersen10.

Only a few studies have reported determinants of adolescents’ soft drink consumptionReference van der Horst, Oenema, Ferreira, Wendel-Vos, Giskes and van Lenthe11. Boys tend to drink more soft drinks than girlsReference Harnack, Stang and Story4, Reference Forshee and Storey12Reference Vereecken, Inchley, Subramanian, Hublet and Maes14 and pupils of lower parental occupation status tend to drink more than pupils of higher parental occupation statusReference Vereecken, Inchley, Subramanian, Hublet and Maes14. In addition, taste preferences, soft drink consumption habits of parents and friends, availability at home and school and television viewing have been reported to be associated with soft drink consumption in one studyReference Grimm, Harnack and Story13. Recently, two studies from The Netherlands also linked soft drink consumption to attitude, subjective norm and parenting practicesReference de Bruijn, Kremers, de Vries, van Mechelen and Brug15, as well as parenting styleReference van der Horst, Kremers, Ferreira, Singh, Oenema and Brug16. As interventions work by mediating variablesReference Baranowski, Lin, Wetter, Resnicow and Hearn17, a better understanding of the determinants is needed in order to make interventions that work. It appears that both environmental factors (such as accessibility and modelling) as well as personal factors (e.g. attitude and preferences) are important determinants of soft drink consumption. Therefore an ecological approach might be suitable. Taking a step further from cognitive behavioural models and theories, such as the Theory of Planned BehaviourReference Ajzen18 and Social Cognitive TheoryReference Bandura19, ecological models suggest that environmental factors, in addition to cognitive factors, may also have a direct impact on behaviourReference Sallis, Owen, Glanz, Lewis and Rimer20.

Children and adolescents spend a large portion of their day in school. Schools have the potential to influence pupils’ beliefs and attitudes regarding nutrition and they can provide an important opportunity for health promotionReference Carter21. Using the school arena is also an effective way of reaching a large number of young people and their family members22. It has been reported that during a random regular school day, 11% of Norwegian pupils drink regular carbonated soft drinks and 2% drink diet carbonated soft drinks without sugarReference Glomnes, Klepp and Bere23. Sale of soft drinks at school, distance from school to shops and rules against soft drink consumption at school are all factors that might affect soft drink consumption at school.

The purpose of the present study was to assess a number of potential factors (gender, educational plans, age, dieting status, distance from home to shop, accessibility at home, modelling, attitude, preferences, distance from school to shop, school sale of soft drinks and school rules against soft drinks) as determinants of adolescents’ carbonated soft drink consumption, both of total consumption and of consumption at school.

Methods

Sample and procedure

This study is part of the Fruits and Vegetables Make the Marks (FVMM) project. FVMM is an intervention project including 38 randomly selected elementary schools in two Norwegian counties. A total of 18 schools were randomly chosen as intervention schools, while the remaining 20 schools served as control schools. The FVMM intervention was conducted in 6th and 7th grade classes in the school year of 2001/02. A baseline survey and two follow-up surveys were conducted while the children were in elementary school. One of the interventions evaluated consisted of free participation in the Norwegian School Fruit programmeReference Bere, Veierød, Bjelland and Klepp24, Reference Bere, Veierød and Klepp25, and the other of a fruit and vegetable classroom curriculum including parental involvementReference Bere, Veierød, Bjelland and Klepp26. In the school year of 2004/05 the same pupils were in 9th and 10th grade at 33 comprehensive schools (17 in Hedmark, 16 in Telemark). A third follow-up survey was carried out in May 2005 in these 33 schools. In addition to pupils participating in previous surveys, ‘new’ pupils were invited to participate in the May 2005 survey if the ‘old’ FVMM pupils constituted more than 30% of the 9th and 10th graders in the respective schools. Participants in the May 2005 survey constitute the study sample in the present study.

A survey questionnaire was completed by the pupils in the classroom in the presence of a trained project worker. One school lesson (45 min) was used to complete the questionnaire. A total of 2870 (out of 3388 eligible; 85%) pupils completed the questionnaire, 1462 boys and 1398 girls. A total of 1468 pupils were in 9th grade and 1402 were in 10th grade. Mean age of the sample was 15.5 years. The main reason why 15% of the pupils did not complete the questionnaire was absence from school on the survey day.

In addition, all school principals were interviewed by phone about food services and school rules concerning soft drink consumption in their school.

Instrument

Questions on soft drink consumption have been included in all FVMM questionnaires, but not previously presented. In order to find the most important determinants of adolescents’ soft drink consumption, an ecological approach was takenReference Sallis, Owen, Glanz, Lewis and Rimer20. Factors and questionnaire items included in the questionnaire were selected on the basis of the results from two separate focus group interviews with 9th and 10th graders, and a pre-test of the questionnaire (including about 100 pupils), both conducted during the spring of 2004. Factors potentially related to soft drink consumption, and included in this study, were categorised into environmental (both physical and social) and personal (more cognitive) factors. All these questionnaire items were assessed twice, once for regular soft drinks and a second time for diet soft drinks, with a few exceptions. In addition, sociodemographic factors and items assessing several health-related behaviours were included in the questionnaire.

Carbonated soft drink consumption

Consumption of carbonated soft drinks was assessed by frequency questions (separate items for regular and diet soft drinks). Total consumption was assessed by one question: ‘How often do you drink (diet) soft drinks?’ The question had 10 response alternatives; ‘never’, ‘less than once a week’, ‘once a week’ … ‘every day’, ‘several times a day’. These questions were dichotomised into less than twice a week and twice a week or more. Less than twice a week was seen as an acceptable consumption. Based on data from a previous test–retest study involving 114 children from 6th grade (fruit and vegetable reliability has been presented elsewhereReference Andersen, Bere, Kolbjornsen and Klepp27), 80% and 85% of the children were classified into the same category on two assessments with 14 days in between, for regular and diet soft drinks respectively. Consumption at school was also assessed by one question: ‘How often do you drink (diet) soft drinks at school?’ The question had seven response alternatives; ‘never’, ‘less than once a week’, ‘once a week’ … ‘every school day’. Soft drink consumption at school was dichotomised into less than once a week and once a week or more. A consumption of less than once a week was seen as an acceptable consumption at school.

Environmental factors

Three questions assessing the accessibility of (diet) soft drinks at home were included: ‘How often are (diet) soft drinks to be found in your home?’, ‘How often are you served (diet) soft drinks for dinner?’ and ‘How often does your mother/father serve you (diet) soft drinks besides dinner time?’ These questions had 10 response alternatives each; ‘never’, ‘less than once a month’, ‘less than one day a week’, ‘once a week’ … ‘every day’. The three questions were added (Cronbach’s α = 0.70 and 0.78, respectively, for regular and diet soft drinks) and then trichotomised into tertiles (low, medium and high accessibility at home).

Distance from home to shop was assessed by one question: ‘How far from your home is it to the closest place where you can buy soft drinks?’ This question had 10 response alternatives ranging from ‘less than 50 m to ‘more than 10 km, but it was trichotomised to less than 100 m, 100–500 m, and more than 500 m.

A similar item in the school principals’ questionnaire assessed how far from the school was the closest place where the pupils could buy soft drinks (distance from school to shop). In addition, questions regarding regular sale of soft drinks at school (yes/no) and whether the school had rules against soft drink and candy consumption (yes/no) were included in the school principals’ questionnaire. As only one school offered soft drinks for sale, this variable was not included in the analyses.

Modelling (the behaviour of important others) was investigated by four questions: ‘How often does your mother/father/sibling/best friend drink (diet) soft drinks?’ The modelling items had 10 response alternatives; ‘never’, ‘less than once a week’, ‘once a week’ … ‘every day’, ‘several times a day’. The four questions were added (Cronbach’s α = 0.68 and 0.74, respectively, for regular and diet soft drinks) and then trichotomised into tertiles (low, medium and high modelling).

Personal factors

Attitudes towards soft drinks were measured by three statements: ‘(diet) soft drinks are well suited at meals’, ‘(diet) soft drinks are well suited as a thirst-quencher’ and ‘(diet) soft drinks are good for your health’. The attitude items had five response alternatives, each ranging from ‘I totally agree’ to ‘I totally disagree’. The attitude items were added to one scale (Cronbach’s α = 0.65 and 0.67, respectively, for regular and diet soft drinks) and then trichotomised into tertiles (low, medium and high attitude). Preferences were measured by one item: ‘On a scale from 0 to 10, how tasty do you find (diet) soft drinks?’ These scales were also trichotomised into tertiles (low, medium and high preferences).

Sociodemographic factors and dieting

The questionnaire also included questions about grade (9th/10th), gender, future educational plans about university or college education (yes/no) and dieting: ‘Are you trying to lose weight?’ (yes/no).

Statistical analysis

Descriptive analyses of the proportion of adolescents drinking (diet) soft drinks twice a week or more, and once a week or more at school, in relation to the determinants were conducted using SPSS version 14 (SPSS Inc.). Multilevel logistic regression analyses were preformed with adolescents’ soft drink consumption as the dependent variable, using MLwiN version 2.02Reference Rasbash, Steele, Browne and Prosser28. All regression models included first gender, educational plans, grade and dieting as independent variables, as well as school as a random factor. The individual environmental and personal factors were then added to the models for total soft drink consumption. Distance from school to shop and rules in school were added as a second step in the analyses for soft drink consumption at school. Odds ratio (OR) with confidence interval (95%) are given for each independent variable.

Results

A total of 63% and 27% of the participants reported to drink respectively regular and diet soft drinks twice a week or more (Table 1). Similar figures for soft drink consumption once a week or more at school were respectively 24% and 8%. Table 1 also shows how the different proposed determinants (unadjusted) relate to soft drink consumption.

Table 1 Description of the proposed determinants and the unadjusted relationship between these factors and soft drink consumption (proportions with 95% CI)

CI – confidence interval.

Boys (OR = 2.1) and those without education plans (OR = 1.5) had greater odds for drinking regular soft drinks twice a week or more (model 1, Table 2). Those on a diet (OR = 0.6) had reduced odds. When including the personal determinants (model 2), the odds for boys and those without education plans were reduced, while the odds for those dieting remained the same. Accessibility at home (e.g. high vs. low: OR = 5.0), modelling (e.g. high vs. low: OR = 3.8), attitude (e.g. high vs. low: OR = 1.9) and preferences (e.g. high vs. low: OR = 5.5) were all strongly significant for regular soft drink consumption. Those without education plans (OR = 1.4) and those on a diet (OR = 1.8) had greater odds for drinking diet soft drinks twice a week or more (model 3, Table 2). When introducing the personal determinants (model 4), these odds remained similar. Accessibility at home (e.g. high vs. low: OR = 8.0), modelling (e.g. high vs. low: OR = 4.0), attitude (e.g. high vs. low: OR = 2.7) and preferences (e.g. high vs. low: OR = 10.1) were all strongly significant for diet soft drink consumption. Distance from home to the closest place the children could buy soft drinks was not significant for either regular or diet soft drink consumption.

Table 2 Multilevel logistic regression analyses of greater soft drink consumption than twice a week

OR – odds ratio; CI – confidence interval.

*Distance from home to the closest place the children could buy soft drinks.

In the logistic regression models of soft drink consumption at school, boys (OR = 4.4), those without education plans (OR = 1.9) and 10th graders (OR = 1.6) had greater odds for drinking regular soft drinks once a week or more (model 1, Table 3). Boys (OR = 1.7), those without education plans (OR = 1.9) and those dieting (OR = 1.9) had greater odds for drinking diet soft drinks at school (model 3, Table 3). When introducing the school-level determinants (models 2 and 4), the odds for gender, education plans, grade level and dieting status remained the same. Distance from school to shop and rules about soft drink consumption both tended to reduce the odds for drinking both regular and diet soft drinks at school, but variables were only borderline significant.

Table 3 Multilevel logistic regression analyses of greater soft drink consumption than once a week at school

OR – odds ratio; CI – confidence interval.

* Distance from school to the closest place the children could buy soft drinks.

Discussion

This study shows that several Norwegian adolescents consume soft drinks more often than acceptable, also during school hours. Gender, educational plans, dieting, accessibility, modelling, attitudes and preferences all seem to be strong determinants of adolescents’ soft drink consumption.

There are large gender differences in soft drink consumption, and boys drink more often than girls. This gender difference appears larger for regular than for diet soft drinks, and larger at school than outside school. That boys report greater soft drink consumption than girls is consistent with findings from other studies investigating total daily consumption of soft drinksReference Harnack, Stang and Story4, Reference Forshee and Storey12Reference Vereecken, Inchley, Subramanian, Hublet and Maes14. Our results also show that pupils planning college or university education have lower odds of drinking both regular and diet soft drinks, both at school and of daily consumption. These findings indicate that it is the vulnerable health groups, males and adolescents of low socio-economic status, who consume the most soft drinks. Only small differences are seen between 9th and 10th graders. The 9th graders have lower odds of drinking regular soft drinks than 10th graders at school. Other studies have reported that consumption of soft drinks increases with ageReference Vereecken, Inchley, Subramanian, Hublet and Maes14, Reference Lien, Jacobs and Klepp29, Reference Striegel-Moore, Thompson, Affenito, Franko, Obarzanek and Barton30. A reason for this might be the increasing opportunities for teenagers, as they grow older, to select and purchase their own food and drinks outside the home. Dieting is related to an increased frequency of diet soft drink consumption, and a decreased frequency of regular soft drink consumption. This is a reasonable finding since dieters tend to avoid sugar. When introducing the psychosocial variables into the statistical models, gender and education plans became less significant for regular soft drink consumption, indicating that some of the effect of gender and education plans on regular soft drink consumption might be mediated through accessibility, modelling, attitudes and preferences.

Accessibility, modelling, attitudes and preferences all appear as strong determinants of both regular and diet soft drink consumption. Few studies have previously investigated such relationships. Grimm and colleagues found that soft drink intake in school-aged children was most notably correlated to taste preferences, soft drink consumption habits of parents and friends, soft drink availability in the home and school and television viewingReference Grimm, Harnack and Story13. de Bruin and colleagues have reported a negative correlation between soft drink consumption and the attitude towards a limited soft drink intakeReference de Bruijn, Kremers, de Vries, van Mechelen and Brug15. In the present study high preferences showed the greatest odds for drinking soft drinks, followed by accessibility, modelling and then attitude. These factors might therefore be important intervention objectives in future intervention studies. Parents clearly appear as important actors in adolescents’ soft drink consumption, both as models of the behaviour and as the ones deciding what foods and drinks should be available and accessible at home.

The Norwegian Directorate for Health and Social Affairs has stated in official guidelines that soft drinks should not be offered at school31. This study shows that quite some pupils do drink soft drinks at school at least once a week. Further, pupils in schools with longer distance to a shop selling soft drinks and schools with rules concerning soft drinks and candy tend to have lower odds for drinking soft drinks at school. The WHO global strategy on diet, physical activity and health suggests limiting access to unhealthy foods and soft drink sales at school32. Few Norwegian schools sell soft drinks, as indicated by sales in only one of the 33 schools included in the present study. However, the results also indicate a possible positive effect of rules concerning soft drink consumption at school, not only sales. Introducing such rules might be an effective way of reducing the consumption of soft drinks during school hours. Altering the distance of shops selling soft drinks nearby schools is not a likely option for change, but could be discussed when planning locations for new schools. More research is needed to state the school’s role in adolescents’ soft drink consumption. An interesting point that appears from the present study is that the difference between genders and educational plans in soft drink consumption is greater at school than outside school. This could indicate that school might be important arena for reducing social inequalities in soft drink consumption.

However, the consumption of soft drinks at school in Norway is small compared with the consumption outside school; it has been reported that 11% drink regular soft drinks at school on a random school day, while 40% drink regular soft drinks during the whole same dayReference Glomnes, Klepp and Bere23. Adolescents also drink more soft drinks during the weekend than during the weekdaysReference Andersen, Øverby and Lillegaard33. For future intervention studies, the homes and the parents of the adolescents are clearly important targets. The results of the present study, showing the importance of accessibility at home and modelling (scale including mother, father and siblings), together with other recent studies linking also parental practicesReference de Bruijn, Kremers, de Vries, van Mechelen and Brug15 and parenting styleReference van der Horst, Kremers, Ferreira, Singh, Oenema and Brug16 to adolescents’ soft drink consumption, clearly points that interventions should focus on the home environment and on the parents.

Our research has some limitations. The soft drink consumption variables have not been validated. However, the test–retest reliability of total soft drink consumption was high (80% and 85% correctly classified), and validity has been assessed among 6th graders using similar frequency questions assessing fruit, vegetable, fruit juice and potato intake, which gave acceptable resultsReference Andersen, Bere, Kolbjornsen and Klepp27. The participating pupils were from two of Norway’s 19 counties only. However, as Norway is a rather homogeneous country we believe the results are likely to be generalisable to the other counties as well. The present study is based on cross-sectional data only and longitudinal analysis is needed in order to investigate whether the identified determinants predict future soft drink consumption.

Conclusion

This study shows that gender, educational plans, dieting, accessibility, modelling, attitudes and preferences all seem to be strong determinants of adolescents’ soft drink consumption. Parents and the home environment appear as great potential intervention targets.

Acknowledgements

Sources of funding: This study was funded by the Norwegian Research Council. The study was initiated and analysed by the investigators.

Conflict of interest declaration: The authors declare that they have no competing interest.

Authorship responsibilities: K.-I.K. conceived the FVMM project. E.B. and K.-I.K. designed the study. E.S.G., E.B. and K.-I.K. worked with the initial statistical models. S.J.V. together with E.B. ran the final analyses. All authors contributed to the interpretation of the data. E.S.G. drafted the initial manuscript, E.B. drafted the final manuscript, and S.J.V. and K.-I.K. revised it critically. All authors have approved the final version of the manuscript.

References

1World Health Organization (WHO) . Diet, Nutrition and the Prevention of Chronic Diseases. Report of a Joint WHO/Food and Agriculture Organization Expert Consultation. Technical Report Series No. 916. Geneva: WHO, 2003.Google Scholar
2Øverby, NC, Lillegaard, IT, Johansson, L, Andersen, LF. High intake of added sugar among Norwegian children and adolescents. Public Health Nutrition 2004; 7: 285293.CrossRefGoogle ScholarPubMed
3Ludwig, DS, Peterson, KE, Gortmaker, SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 2001; 357: 505508.CrossRefGoogle ScholarPubMed
4Harnack, L, Stang, J, Story, M. Soft drink consumption among US children and adolescents: nutritional consequences. Journal of the American Dietetic Association 1999; 99: 436441.CrossRefGoogle ScholarPubMed
5Mrdjenovic, G, Levitsky, DA. Nutritional and energetic consequences of sweetened drink consumption in 6- to 13-year-old children. Journal of Pediatrics 2003; 142: 604610.CrossRefGoogle ScholarPubMed
6Bellisle, F, Rolland-Cachera, MF. How sugar-containing drinks might increase adiposity in children. Lancet 2001; 357: 490491.CrossRefGoogle ScholarPubMed
7Mattes, RD . Dietary compensation by humans for supplemental energy provided as ethanol or carbohydrate in fluids. Physiology & Behavior 1996; 59: 179187.CrossRefGoogle ScholarPubMed
8Tordoff, MG, Alleva, AM. Effect of drinking soda sweetened with aspartame or high-fructose corn syrup on food intake and body weight. American Journal of Clinical Nutrition 1990; 51: 963969.CrossRefGoogle ScholarPubMed
9Heller, KE, Burt, BA, Eklund, SA. Sugared soda consumption and dental caries in the United States. Journal of Dental Research 2001; 80: 19491953.CrossRefGoogle ScholarPubMed
10Moynihan, P, Petersen, PE. Diet, nutrition and the prevention of dental diseases. Public Health Nutrition 2004; 7: 201226.CrossRefGoogle ScholarPubMed
11van der Horst, K, Oenema, A, Ferreira, I, Wendel-Vos, W, Giskes, K, van Lenthe, F, et al. . A systematic review of environmental correlates of obesity-related dietary behaviors in youth. Health Education Research 2007; 22: 203–26.Google ScholarPubMed
12Forshee, RA, Storey, ML. Total beverage consumption and beverage choices among children and adolescents. International Journal of Food Sciences and Nutrition 2003; 54: 297307.CrossRefGoogle ScholarPubMed
13Grimm, GC, Harnack, L, Story, M. Factors associated with soft drink consumption in school-aged children. Journal of the American Dietetic Association 2004; 104: 12441249.CrossRefGoogle ScholarPubMed
14Vereecken, CA, Inchley, J, Subramanian, SV, Hublet, A, Maes, L. The relative influence of individual and contextual socio-economic status on consumption of fruit and soft drinks among adolescents in Europe. European Journal of Public Health 2005; 15: 224232.Google ScholarPubMed
15de Bruijn, G-J, Kremers, SPJ, de Vries, H, van Mechelen, W, Brug, J. Associations of social-environmental and individual-level factors with adolescent soft drink consumption: results from the SMILE study. Health Education Research 2007; 22: 227–37.Google ScholarPubMed
16van der Horst, K, Kremers, S, Ferreira, I, Singh, A, Oenema, A, Brug, J. Perceived parenting style and practices and the consumption of sugar-sweetened beverages by adolescents. Health Education Research 2007; 22: 295–304.Google ScholarPubMed
17Baranowski, T, Lin, LS, Wetter, DW, Resnicow, K, Hearn, MD. Theory as mediating variables: why aren’t community interventions working as desired? Annals of Epidemiology 1997; 7: S89S95.CrossRefGoogle Scholar
18Ajzen, I . The theory of planned behavior. Organizational Behavior and Human Decision Processes 1991; 50: 179211.Google Scholar
19Bandura, A . Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall, 1986.Google Scholar
20Sallis, JF, Owen, N. Ecological models In: Glanz, K, Lewis, FM, Rimer, BK, eds. Health Behavior and Health Education: Theory, Research and Practice, 2nd ed. San Francisco, CA: Jossey-Bass, 1997: 403424.Google Scholar
21Carter, RC . The impact of public schools on childhood obesity. JAMA: Journal of the American Medical Association 2002; 288: 2180.CrossRefGoogle ScholarPubMed
22World Health Organization (WHO) . Healthy Nutrition: An Essential Element of Health-promoting School. WHO Information Series on School Health. Geneva: WHO, 1998.Google Scholar
23Glomnes, ES, Klepp, KI, Bere, E. Adolescents’ soft drink consumption in relation to sex, SES, overweight and health related behaviors. Poster presented at 5th Annual Meeting of the International Society for Behavioral Nutrition and Physical Activity, Boston, MA, 13–16 July 2006.Google Scholar
24Bere, E, Veierød, MB, Bjelland, M, Klepp, KI. Free school fruit – sustained effect 1 year later. Health Education Research 2006; 21: 268275.CrossRefGoogle ScholarPubMed
25Bere, E, Veierød, MB, Klepp, KI. The Norwegian School Fruit Programme: evaluating paid vs. no-cost subscriptions. Preventive Medicine 2005; 41: 463470.CrossRefGoogle Scholar
26Bere, E, Veierød, MB, Bjelland, M, Klepp, KI. Outcome and process evaluation of a Norwegian school-randomized fruit and vegetable intervention: Fruits and Vegetables Make the Marks (FVMM). Health Education Research 2006; 21: 258267.CrossRefGoogle ScholarPubMed
27Andersen, LF, Bere, E, Kolbjornsen, N, Klepp, KI. Validity and reproducibility of self-reported intake of fruit and vegetable among 6th graders. European Journal of Clinical Nutrition 2004; 58: 771777.CrossRefGoogle Scholar
28Rasbash, J, Steele, F, Browne, W, Prosser, B. A User’s Guide to MLwiN version 2.0. London: Institute of Education, 2004.Google Scholar
29Lien, N, Jacobs, DR Jr, Klepp, KI. Exploring predictors of eating behaviour among adolescents by gender and socio-economic status. Public Health Nutrition 2002; 5: 671681.Google ScholarPubMed
30Striegel-Moore, RH, Thompson, D, Affenito, SG, Franko, DL, Obarzanek, E, Barton, BA, et al. . Correlates of beverage intake in adolescent girls: The National Heart, Lung, and Blood Institute Growth and Health Study. Journal of Pediatrics 2006; 148: 183187.CrossRefGoogle ScholarPubMed
31 Sosial- og helsedirektoratet. Retningslinjer for skolemåltidet i grunnskole og videregående skole [online]. Available at http://www.shdir.no/publikasjoner/retningslinjer/retningslinjer_for_skolem_ltidet_10041. Accessed 26 June 2006.Google Scholar
32World Health Organization (WHO) . Global Strategy on Diet, Physical Activity and Health. Geneva: WHO, 2004.Google Scholar
33Andersen, LF, Øverby, N, Lillegaard, ITL. Er det forskjell på hva barn spiser på hverdager og i helgen? Barn 2003; (2–3): 8998.Google Scholar
Figure 0

Table 1 Description of the proposed determinants and the unadjusted relationship between these factors and soft drink consumption (proportions with 95% CI)

Figure 1

Table 2 Multilevel logistic regression analyses of greater soft drink consumption than twice a week

Figure 2

Table 3 Multilevel logistic regression analyses of greater soft drink consumption than once a week at school