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Reliability and validity of a questionnaire to measure personal, social and environmental correlates of fruit and vegetable intake in 10–11-year-old children in five European countries

Published online by Cambridge University Press:  02 January 2007

I De Bourdeaudhuij ,
K-I Klepp ,
P Due ,
C Perez Rodrigo ,
MDV de Almeida ,
M Wind ,
R Krølner ,
C Sandvik  and
J Brug
I De Bourdeaudhuij*
Affiliation:
Department of Movement and Sport Sciences, Ghent University, Watersportlaan 2, B-9000 Ghent, Belgium
K-I Klepp
Affiliation:
Institute for Nutrition Research, University of Oslo, Norway
P Due
Affiliation:
Department of Social Medicine, University of Copenhagen, Denmark
C Perez Rodrigo
Affiliation:
Unidad de Nutricion Comunitaria, Bilbao, Spain
MDV de Almeida
Affiliation:
Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto, Portugal
M Wind
Affiliation:
Erasmus Medical Center Rotterdam, Department of Public Health, The Netherlands
R Krølner
Affiliation:
Department of Social Medicine, University of Copenhagen, Denmark
C Sandvik
Affiliation:
Institute for Nutrition Research, University of Oslo, Norway
J Brug
Affiliation:
Erasmus Medical Center Rotterdam, Department of Public Health, The Netherlands
*
*Corresponding author: Email [email protected]
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Abstract

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Objectives

To investigate the internal consistency of the scales and the test–retest reliability and predictive validity of behaviour theory-based constructs measuring personal, social and environmental correlates of fruit and vegetable intake in 10–11-year-old children.

Design

Test–retest with one-week interval.

Setting

Five European countries: Norway, Spain, Denmark, Portugal, Belgium.

Subjects

Three hundred and twenty-six children completed the questionnaire during class hours.

Results

For the total sample across all countries, the test–retest reliability was good to very good (intra-class correlation coefficient (ICC) >0.60) for 12 out of the 15 fruit constructs and also for 12 out of the 15 vegetable constructs. Acceptable ICCs, ranging between 0.50 and 0.59, were found for the remaining constructs. Test–retest reliability was comparable across countries. Only in Portugal were some significantly lower ICCs found for some constructs (knowledge and barriers related to fruit, general self-efficacy related to fruit and vegetables) compared with the other countries. Cronbach's α values were moderate to high (range 0.52 to 0.89) with the exception of the general self-efficacy scale, which had a value below 0.50 for both fruit (α = 0.42) and vegetables (α = 0.49). Spearman correlations with intake ranged between -0.16 and 0.54 for personal determinants and between 0.05 and 0.38 for environmental determinants. Compared with other studies, predictive validity can be considered moderate to good.

Conclusions

The questionnaire provides a reliable, valid and easy-to-administer tool for assessing personal, social and environmental factors of potential influence on fruit and vegetable intake in 10–11-year-olds.

Keywords

FruitVegetablesChildrenReliabilityQuestionnaireSocio-environmental influencesEurope
Type
Research Article
Information
Public Health Nutrition , Volume 8 , Issue 2 , April 2005 , pp. 189 - 200
Copyright
Copyright © The Authors 2005

References

1Key, TJ, Allen, NE, Spencer, EA, Travis, RC. The effect of diet on risk of cancer. Lancet 2002; 360: 861–8Google Scholar
2Paolini, M, Sapone, A, Canistro, D, Antonelli, MA, Chieco, P. Diet and risk of cancer. Lancet 2003; 361: 257–8CrossRefGoogle ScholarPubMed
3Trichopoulou, A, Lagiou, P. Healthy traditional Mediterranean diet: an expression of culture, history, and lifestyle. Nutrition Reviews 1997; 55: 383–9Google Scholar
4Lanza, E, Schatzkin, A, Daston, C, Corle, DK, Freedman, LS, Ballard-Barbasch, R, et al. Implementation of a 4-y, high-fiber, high-fruit and -vegetable, low-fat dietary intervention: results of dietary changes in the Polyp Prevention Trial. American Journal of Clinical Nutrition 2001; 74: 387–401Google Scholar
5Pesa, JA, Turner, LW. Fruit and vegetable intake and weight-control behaviors among US youth. American Journal of Health Behavior 2001; 25: 3–9.Google Scholar
6World Health Organization (WHO). Diet, Nutrition and The Prevention of Chronic Diseases. Report of a Joint Food and Agriculture Organization/WHO Expert Consultation. Geneva: WHO, 2003.Google Scholar
7Vereecken, C, Maes, L. Eating habits, dental care and dieting. In: Health and Health Behaviour among Young People. WHO Policy Series: Health Policy for Children and Adolescents Issue 1. Geneva: WHO, 2000; 83–96.Google Scholar
8Rozin, P. Development in the food domain. Developmental Psychology 1990; 26: 555–62Google Scholar
9Kelder, SH, Perry, CL, Klepp, KI, Lytle, LL. Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. American Journal of Public Health 1994; 84(7): 1121–6CrossRefGoogle ScholarPubMed
10Birch, LL. Development of food acceptance patterns. Developmental Psychology 1990; 26: 515–9Google Scholar
11Ajzen, I, Madden, TJ. Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology 1986; 22: 453–74CrossRefGoogle Scholar
12De Vries, H, Dijkstra, M, Kuhlman, P. Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioral intentions. Health Education Research 1988; 3: 273–82Google Scholar
13Armitage, CJ, Conner, M. Social cognition models and health behaviour: a structured review. Psychology & Health 1988; 15(2): 173–89CrossRefGoogle Scholar
14Conner, M, Norman, P. Predicting Health Behaviour. Philadelphia, PA: Open University Press, 1996.Google Scholar
15Baranowski, T, Domel, S, Gould, R, Baranowski, J, Leonard, S, Treiber, F, et al. Increasing fruit and vegetable consumption among 4th and 5th grade students: results from focus groups using reciprocal determinism. Journal of Nutrition Education 1993; 25(3): 114–20Google Scholar
16Cullen, KW, Baranowski, T, Rittenberry, L, Olvera, N. Social-environmental influences on children's diets: results from focus groups with African-, Euro- and Mexican-American children and their parents. Health Education Research 2000; 15(5): 581–90Google Scholar
17Kirby, SD, Baranowski, T, Reynolds, KD, Taylor, G, Binkley, D. Children's fruit and vegetable intake: socioeconomic, adult–child, regional, and urban–rural influences. Journal of Nutrition Education 1995; 27: 261–71.Google Scholar
18Neumark-Sztainer, D, Story, M, Perry, C, Casey, MA. Factors influencing food choices of adolescents: findings from focus-group discussions with adolescents. Journal of the American Dietetic Association 1999; 99: 929–34.CrossRefGoogle ScholarPubMed
19Domel, SB, Baranowski, T, Davis, H, Leonard, SB, Riley, P, Baranowski, J. Measuring fruit and vegetable preferences among 4th- and 5th-grade students. Preventive Medicine 1993; 22: 866–79.CrossRefGoogle ScholarPubMed
20Domel, SB, Baranowski, T, Davis, HC, Thompson, WO, Leonard, SB, Baranowski, J. A measure of outcome expectations for fruit and vegetable consumption among fourth- and fifth-grade school children: reliability and validity. Health Education Research 1995; 10(1): 65–72.CrossRefGoogle Scholar
21Domel, SB, Thompson, WO, Davis, HC, Baranowski, T, Leonard, SB, Baranowski, J. Psychosocial predictors of fruit and vegetable consumption among elementary school children. Health Education Research 1996; 11(3): 299–308.CrossRefGoogle Scholar
22Cullen, KW, Baranowski, T, Rittenberry, L, Cosart, C, Hebert, D, deMoor, C. Child-reported family and peer influences on fruit, juice and vegetable consumption: reliability and validity of measures. Health Education Research 2001; 16(2): 187–200.CrossRefGoogle ScholarPubMed
23Cullen, KW, Baranowski, T, Owens, E, Marsh, T, Rittenberry, L, deMoor, C. Availability, accessibility, and preferences for fruit, 100% fruit juice, and vegetables influence children's dietary behaviour. Health Education&Behavior 2003; 30(5): 615–26.Google Scholar
24Bandura, A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall, 1986.Google Scholar
25Prochaska, J, Velicer, W, Rossi, J. Stages of change and decisional balance for twelve problem behaviors. Health Psychology 1994; 13: 39–46.CrossRefGoogle Scholar
26Kremers, SP, Brug, J, de Vries, H, Engels, RC. Parenting style and adolescent fruit consumption. Appetite 2003; 41(1): 43–50.CrossRefGoogle ScholarPubMed
27Krueger, RA, Casey, MA. Focus Groups: A Practical Guide for Applied Research. Thousand Oaks, CA: Sage Publications, 2000.Google Scholar
28Currie, C, Samdal, O, Boyce, W, Smith, R, eds. Health Behaviour in School-aged Children: a WHO Cross-National Study (HBSC), Research Protocol for the 2001/2002 Survey. Edinburgh: Child and Adolescent Health Research Unit, University of Edinburgh, 2001.Google Scholar
29Haraldsdóttir, J, Andersen, LJ, Thórsdóttir, I, de Almeida, MDV, Gottlieb, AS, Bjelland, M, et al. Fruit and vegetable intake of schoolchildren in a pan-European context: a methodological challenge. Annals of Nutrition and Metabolism 2003; 47(6): 502.Google Scholar
30Nunnally, JC. Psychometric Theory. New York: McGraw-Hill, 1967.Google Scholar
31Sallis, JF, Owen, H. Physical Activity and Behavioral Medicine. London: Sage Publications, 1999.Google Scholar
32Kohl, HW, Fulton, JE, Caspersen, CJ. Assessment of physical activity among children and adolescents: a review and synthesis. Preventive Medicine 2000; 31(2): S54–76.CrossRefGoogle Scholar
33Schmidt, LJ, Garratt, AM, Fitzpatrick, R. Child/parent-assessed population health outcome measures: a structured review. Child: Care, Health and Development 2002; 28(3): 227–37.CrossRefGoogle ScholarPubMed
34Montoye, H, Kemper, H, Saris, W, Washburn, R. Measuring Physical Activity and Energy Expenditure. Champaign, IL: Human Kinetics, 1996.Google Scholar
35Bere, E, Klepp, K-I. Reliability of parental and self-reported determinants of fruit and vegetable intake among 6th graders. Public Health Nutrition 2004; 7: 353–6.Google Scholar
36Gibson, EL, Wardle, J, Watts, CJ. Fruit and vegetable consumption, nutritional knowledge and beliefs in mothers and children. Appetite 1998; 31: 205–28.Google Scholar