Core Questionnaires

Part of the Springer Series on Epidemiology and Public Health book series (SSEH)


This chapter sets out the core questionnaires used in the IDEFICS and I.Family studies. Since the IDEFICS study looked at younger children, it used a single questionnaire which was filled out by the parents. This focussed mainly on the child but also included some questions about the family, such as socioeconomic status. The I.Family study looked at the whole family, including children who were now old enough to answer questions on their own behalf. It therefore used a wider range of questionnaires, which this chapter outlines.


IDEFICS Study Family Questionnaire European School Survey Project On Alcohol And Other Drugs (ESPAD) Eating Disorder Diagnostic Scale Bammann 
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The development of instruments, the baseline data collection and the first follow-up work as part of the IDEFICS study ( were financially supported by the European Commission within the Sixth RTD Framework Programme Contract No. 016181 (FOOD). The most recent follow-up including the development of new instruments and the adaptation of previously used instruments was conducted in the framework of the I.Family study ( which was funded by the European Commission within the Seventh RTD Framework Programme Contract No. 266044 (KBBE 2010-14).

We thank all families for participating in the extensive examinations of the IDEFICS and I.Family studies. We are also grateful for the support from school boards, headmasters and communities.


  1. Aranceta-Bartrina J, Pérez-Rodrigo C. Determinants of childhood obesity: ANIBES study. Nutr Hosp. 2016;33(Suppl 4):339.Google Scholar
  2. Bammann K, Gwozdz W, Lanfer A, Barba G, De Henauw S, Eiben G, et al. IDEFICS consortium. Socioeconomic factors and childhood overweight in Europe: results from the multi-centre IDEFICS study. Pediatr Obes. 2013;8(1):1–12.CrossRefGoogle Scholar
  3. Bammann K, Peplies J, De Henauw S, Hunsberger M, Molnar D, Moreno LA, et al. IDEFICS consortium. Early life course risk factors for childhood obesity: the IDEFICS case-control study. PLoS ONE. 2014;9(2):e86914.CrossRefGoogle Scholar
  4. Birch LL, Fisher JO, Grimm-Thomas K, Markey CN, Sawyer R, Johnson SL. Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs and practices about child feeding and obesity proneness. Appetite. 2001;36(3):201–10.CrossRefGoogle Scholar
  5. Börnhorst C, Siani A, Russo P, Kourides Y, Sion I, Molnar D, et al. Early life factors and inter-country heterogeneity in BMI growth trajectories of European children: the IDEFICS study. PLoS ONE. 2016;11(2):e0149268.CrossRefGoogle Scholar
  6. Burdette HL, Whitaker RC, Daniels SR. Parental report of outdoor playtime as a measure of physical activity in preschool-aged children. Arch Pediatr Adolesc Med. 2004;158(4):353–7.CrossRefGoogle Scholar
  7. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193–213.CrossRefGoogle Scholar
  8. Carskadon MA, Acebo C. A self-administered rating scale for pubertal development. J Adolesc Health. 1993;14(3):190–5.CrossRefGoogle Scholar
  9. Cullen KW, Baranowski T, Rittenberry L, Cosart C, Hebert D, de Moor C. Child-reported family and peer influences on fruit, juice and vegetable consumption: reliability and validity of measures. Health Educ Res. 2001;16(2):187–200.CrossRefGoogle Scholar
  10. Diehl JM, Daum I. Television food commercials aimed at children and parents. In: Curzon ME, Diehl JM, Ghraf R, Lentze MJ, editors. Carbohydrates in infant nutrition and dental health. Munich, Germany: Urban and Vogel; 1995. p. 169–83.Google Scholar
  11. ESPAD. Questionnaire on substance use. Student questionnaire. Stockholm, Sweden: The European School Survey Project on Alcohol and Other Drugs (ESPAD); 2011.Google Scholar
  12. ESPAD. A supplement to the 2011 ESPAD report. Appendix IV. Student questionnaire. Stockholm, Sweden: The European School Survey Project on Alcohol and Other Drugs (ESPAD); 2013.Google Scholar
  13. Fatima Y, Doi SA, Mamun AA. Longitudinal impact of sleep on overweight and obesity in children and adolescents: a systematic review and bias-adjusted meta-analysis. Obes Rev. 2015;16(2):137–49.CrossRefGoogle Scholar
  14. Fernandez-Alvira JM, Börnhorst C, Bammann K, Gwozdz W, Krogh V, Hebestreit A, et al. Prospective associations between socio-economic status and dietary patterns in European children: the Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS (IDEFICS) study. Br J Nutr. 2015;113(3):517–25.CrossRefGoogle Scholar
  15. Fernandez-Alvira JM, Mouratidou T, Bammann K, Hebestreit A, Barba G, Sieri S, et al. Parental education and frequency of food consumption in European children: the IDEFICS study. Public Health Nutr. 2013;16(3):487–98.CrossRefGoogle Scholar
  16. Foraita R, Günther F, Gwozdz W, Reisch LA, Russo P, Lauria F, et al. IDEFICS consortium. Does the FTO gene interact with the socioeconomic status on the obesity development among young European children? Results from the IDEFICS study. Int J Obes (Lond). 2015;39(1):1–6.CrossRefGoogle Scholar
  17. Formisano A, Hunsberger M, Bammann K, Vanaelst B, Molnar D, Moreno LA, et al. Family structure and childhood obesity: results of the IDEFICS project. Public Health Nutr. 2014;17(10):2307–15.CrossRefGoogle Scholar
  18. Goodman R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry. 1997;38(5):581–6.CrossRefGoogle Scholar
  19. Gwozdz W, Sousa-Poza A, Reisch LA, Ahrens W, Eiben G, Fernandéz-Alvira JM, et al. Maternal employment and childhood obesity—a European perspective. J Health Econ. 2013;32(4):728–42.CrossRefGoogle Scholar
  20. Gwozdz W, Sousa-Poza A, Reisch LA, Bammann K, Eiben G, Kourides Y, et al. Peer effects on obesity in a sample of European children. Econ Hum Biol. 2015;18:139–52.CrossRefGoogle Scholar
  21. Harrison E, Rose D. The European Socioeconomic Classification (ESeC). User guide. Colchester: University of Essex; 2006.Google Scholar
  22. Heatherton TF, Kozlowski LT, Frecker RC, Rickert W, Robinson J. Measuring the heaviness of smoking: using self-reported time to the first cigarette of the day and number of cigarettes smoked per day. Br J Addic. 1989;84(7):791–9.CrossRefGoogle Scholar
  23. Herrmann D, Suling M, Reisch L, Siani A, De Bourdeaudhuij I, Maes L, et al. IDEFICS consortium. Repeatability of maternal report on prenatal, perinatal and early postnatal factors: findings from the IDEFICS parental questionnaire. Int J Obes (Lond). 2011;35(Suppl 1):S52–60.CrossRefGoogle Scholar
  24. Holmes TH, Rahe RH. The social readjustment rating scale. J Psychosom Res. 1967;11(2):213–8.CrossRefGoogle Scholar
  25. Hruby A, Hu FB. The epidemiology of obesity: a big picture. Pharmacoeconomics. 2015;33(7):673–89.CrossRefGoogle Scholar
  26. Hunsberger M, Formisano A, Reisch LA, Bammann K, Moreno L, De Henauw S, et al. Overweight in singletons compared to children with siblings: the IDEFICS study. Nutr Diab. 2012;2:e35.CrossRefGoogle Scholar
  27. Hunsberger M, Lehtinen-Jacks S, Mehlig K, Gwozdz W, Russo P, Michels N, et al. IDEFICS consortium. Bidirectional associations between psychosocial well-being and body mass index in European children: longitudinal findings from the IDEFICS study. BMC Public Health. 2016;16:949.CrossRefGoogle Scholar
  28. Iguacel I, Fernandez-Alvira JM, Bammann K, De Clercq B, Eiben G, Gwozdz W, et al. IDEFICS consortium. Associations between social vulnerabilities and dietary patterns in European children: the Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS (IDEFICS) study. Br J Nutr. 2016;116(7):1288–97.CrossRefGoogle Scholar
  29. IPAQ. International Physical Activity Questionnaire. Short last 7 days self-administered format. For use with young and middle-aged adults (15–69 years). 2002. Accessed 15 Mar 2018.
  30. Jackson C, Henriksen L, Foshee VA. The authoritative parenting index: predicting health risk behaviors among children and adolescents. Health Educ Behav. 1998;25(3):319–37.CrossRefGoogle Scholar
  31. Jekauc D, Wagner MO, Khalert D, Woll K. Reliabilität und Vailidität des MoMo-Aktivitätsfragebogens für Jugendliche (MoMo-AFB). Diagnostica. 2013;59:100–11.CrossRefGoogle Scholar
  32. Latendresse SJ, Rose RJ, Viken RJ, Pulkkinen L, Kaprio J, Dick DM. Parental socialization and adolescents’ alcohol use behaviors: predictive disparities in parents’ versus adolescents’ perceptions of the parenting environment. J Clin Child Adolesc Psychol. 2009;38(2):232–44.CrossRefGoogle Scholar
  33. Latza U, Hoffmann W, Terschüren C, Chang-Claude J, Kreuzer M, Schaffrath Rosario A, et al. Erhebung, Quantifizierung und Analyse der Rauchexposition in epidemiologischen Studien. Abschnitt 4.4.3: Variation des Fragebogens Aktivrauchen – Kurzversion (Erwachsene). Berlin: Robert Koch Institut; 2005.Google Scholar
  34. Lissner L, Lanfer A, Gwozdz W, Olafsdottir S, Eiben G, Moreno LA, et al. Television habits in relation to overweight, diet and taste preferences in European children: the IDEFICS study. Eur J Epidemiol. 2012;27(9):705–15.CrossRefGoogle Scholar
  35. Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child. 1969;44(235):291–303.CrossRefGoogle Scholar
  36. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child. 1970;45(239):13–23.CrossRefGoogle Scholar
  37. Mazarello Paes V, Ong KK, Lakshman R. Factors influencing obesogenic dietary intake in young children (0–6 years): systematic review of qualitative evidence. BMJ Open. 2015;5(9):e007396.CrossRefGoogle Scholar
  38. Morris NM, Udry JR. Validation of a self-administered instrument to assess stage of adolescent development. J Youth Adolesc. 1980;9(3):271–80.CrossRefGoogle Scholar
  39. Pearson N, Atkin AJ, Biddle SJ, Gorely T, Edwardson C. Parenting styles, family structure and adolescent dietary behaviour. Public Health Nutr. 2010;13(8):1245–53.CrossRefGoogle Scholar
  40. Ravens-Sieberer U, Bullinger M. Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results. Qual Life Res. 1998;7(5):399–407.CrossRefGoogle Scholar
  41. Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Duer W, et al. KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Rev Pharmacoecon Outcomes Res. 2005;5(3):353–64.CrossRefGoogle Scholar
  42. Reeske A, Spallek J, Bammann K, Eiben G, De Henauw S, Kourides Y, et al. Migrant background and weight gain in early infancy: results from the German study sample of the IDEFICS study. PLoS ONE. 2013;8(4):e60648.CrossRefGoogle Scholar
  43. Regber S, Novak M, Eiben G, Bammann K, De Henauw S, Fernandéz-Alvira JM, et al. Parental perceptions of and concerns about child’s body weight in eight European countries—the IDEFICS study. Pediatr Obes. 2013;8(2):118–29.CrossRefGoogle Scholar
  44. Rideout VJ, Foehr UG, Roberts DF. Generation M2: media in the lives of 8- to 18-year-olds. A Kaiser Family Foundation Study. Menlo Park, California: The Henry J. Kaiser Family Foundation; 2010.Google Scholar
  45. Schneewind KA. Die Familienklimaskalen. In: Cierpka M, editor. Familiendiagnostik. Berlin: Springer; 1988. p. 232–55.CrossRefGoogle Scholar
  46. Slof-Op ‘t Landt MC, Dolan CV, Rebollo-Mesa I, Bartels M, van Furth EF, van Beijsterveldt CE, et al. Sex differences in sum scores may be hard to interpret: the importance of measurement invariance. Assessment. 2009;16(4):415–23.CrossRefGoogle Scholar
  47. Sprengeler O, Wirsik N, Hebestreit A, Herrmann D, Ahrens W. Domain-specific self-reported and objectively measured physical activity in children. Int J Environ Res Public Health. 2017;14(3):E242.CrossRefGoogle Scholar
  48. Stice E, Telch CF, Rizvi SL. Development and validation of the eating disorder diagnostic scale: a brief self-report measure of anorexia, bulimia, and binge eating disorder. Psychol Assess. 2000;12(2):123–31.CrossRefGoogle Scholar
  49. Suling M, Hebestreit A, Peplies J, Bammann K, Nappo A, Eiben G, et al. IDEFICS consortium. Design and results of the pretest of the IDEFICS study. Int J Obes (Lond). 2011;35(Suppl 1):S30–44.CrossRefGoogle Scholar
  50. United Nations Educational Scientific and Cultural Organization (UNESCO) Institute for Statistics. International Standard Classification of Education (ISCED) 1997. Montreal: UNESCO; 2006.Google Scholar
  51. Vanaelst B, De Vriendt T, Ahrens W, Bammann K, Hadjigeorgiou C, Konstabel K, et al. Prevalence of psychosomatic and emotional symptoms in European school-aged children and its relationship with childhood adversities: results from the IDEFICS study. Eur Child Adolesc Psychiatry. 2012a;21(5):253–65.CrossRefGoogle Scholar
  52. Vanaelst B, Huybrechts I, De Bourdeaudhuij I, Bammann K, Hadjigeorgiou C, Eiben G, et al. IDEFICS consortium. Prevalence of negative life events and chronic adversities in European pre- and primary-school children: results from the IDEFICS study. Arch Public Health. 2012b;70(1):26.CrossRefGoogle Scholar
  53. Wallston KA. The validity of the multidimensional health locus of control scales. J Health Psychol. 2005;10(5):623–31.CrossRefGoogle Scholar
  54. Wallston KA, Wallston BS, DeVellis R. Development of the Multidimensional Health Locus of Control (MHLC) scales. Health Educ Monogr. 1978;6(2):160–70.CrossRefGoogle Scholar
  55. Whiteside SP, Lynam DR, Miller JD, Reynolds SK. Validation of the UPPS impulsive behaviour scale: a four-factor model of impulsivity. Eur J Pers. 2005;19:559–74.CrossRefGoogle Scholar
  56. WHO. International guide for monitoring alcohol consumption and related harm. Annex 8. Suggested questions for a 3 item and an 8 item set of questions about alcohol consumption. A. Module containing minimum required items (3 questions). Department of Mental Health and Substance Dependence, Noncommunicable Diseases and Mental Health Cluster. Geneva: World Health Organization; 2000.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Working Group Epidemiology of Demographic Change, Institute for Public Health and Nursing Research (IPP)University of BremenBremenGermany
  2. 2.Department of Management, Society and CommunicationCopenhagen Business SchoolFrederiksbergDenmark
  3. 3.Leibniz Institute for Prevention Research and Epidemiology—BIPSBremenGermany
  4. 4.Department of Politics, Philosophy and ReligionLancaster UniversityLancasterUK

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