Effect of integrating a video intervention on parenting practices and related parental self-efficacy regarding health behaviours within the Feel4Diabetes-study in Belgian primary schoolchildren from vulnerable families: A cluster randomized trial

Vicky Van Stappen, Sara De Lepeleere, Nele Huys, Julie Latomme, Maïté Verloigne, Greet Cardon, Odysseas Androutsos, Yannis Manios, Ilse De Bourdeaudhuij, Marieke De Craemer, Vicky Van Stappen, Sara De Lepeleere, Nele Huys, Julie Latomme, Maïté Verloigne, Greet Cardon, Odysseas Androutsos, Yannis Manios, Ilse De Bourdeaudhuij, Marieke De Craemer

Abstract

Background: This study aimed to investigate the effect of integrating a video intervention "Movie Models" within the Feel4Diabetes-study on specific parenting practices and related parental self-efficacy regarding children's physical activity, screen-time and eating behaviour in vulnerable families (i.e. families living in low socioeconomic municipalities and at risk for developing type 2 diabetes). Additionally, there was examination of how the intervention was perceived by the parents.

Methods: Within randomly selected low socioeconomic municipalities in Belgium, families were recruited through primary schools. Families at risk for developing type 2 diabetes were identified using the FINDRISC questionnaire (n = 457). Afterwards, the municipalities were randomly assigned to the intervention or control condition. At risk families assigned to the intervention group were invited to participate in six Feel4Diabetes counselling sessions in which families were encouraged to adopt a healthier lifestyle. The "Movie Models" videos were integrated within two sessions by using a face-to-face group discussion approach. Parenting-related factors were assessed before and after the integration of the videos, using a questionnaire. After integrating the videos, some extra evaluation questions were assessed. In total, 126 families were included in a per protocol evaluation and Repeated Measures ANOVAs were conducted to evaluate the potential intervention effects.

Results: Some favourable intervention effects were found on parenting practices and related parental self-efficacy regarding children's eating behaviours, however almost no effects were found on parenting-related factors regarding children's physical activity and screen-time. In total, 60.0% of the participants indicated that they applied tips regarding parenting practices and 52.0% indicated that discussions with other participants regarding the videos were useful for them.

Conclusion: The integration of "Movie Models" within the Feel4Diabetes-study was effective in improving some parenting-related factors regarding children's health behaviours, however most parenting-related factors could not be improved. The implementation of "Movie Models" as a face-to-face group discussion approach was relatively well received and may be a promising way to improve parenting-related factors in vulnerable families.

Trial registration: ClinicalTrials.gov NCT02278809.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Integration of “Movie Models” intervention…
Fig 1. Integration of “Movie Models” intervention within the Belgian cohort of the Feel4Diabetes-intervention.
Fig 2. CONSORT Flow Diagram.
Fig 2. CONSORT Flow Diagram.

References

    1. Organization WH. Obesity and Overweight: Geneve; 2017 [
    1. Ahrens W, Pigeot I, Pohlabeln H, De Henauw S, Lissner L, Molnar D, et al. Prevalence of overweight and obesity in European children below the age of 10. Int J Obes (Lond). 2014;38 Suppl 2:S99–107.
    1. O’Neill JL, McCarthy SN, Burke SJ, Hannon EM, Kiely M, Flynn A, et al. Prevalence of overweight and obesity in Irish school children, using four different definitions. Eur J Clin Nutr. 2007;61(6):743–51. 10.1038/sj.ejcn.1602580
    1. Branca F NH, Lobstein T. The Challenge of Obesity in the WHO European Region and the Strategies for Response.; 2007.
    1. Jimenez-Pavon D, Kelly J, Reilly JJ. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: Systematic review. Int J Pediatr Obes. 2010;5(1):3–18. 10.3109/17477160903067601
    1. Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8:98 10.1186/1479-5868-8-98
    1. Maffeis C. Aetiology of overweight and obesity in children and adolescents. Eur J Pediatr. 2000;159 Suppl 1:S35–44.
    1. WHOEurope. Recommended levels of physical activity for children aged 5–17 years [.
    1. Leven VIG. Vlaamse gezondheidsaanbevelingen sedentair gedrag (lang stilzitten) en lichaamsbeweging. 2017.
    1. Tremblay MS, Leblanc AG, Janssen I, Kho ME, Hicks A, Murumets K, et al. Canadian sedentary behaviour guidelines for children and youth. Appl Physiol Nutr Metab. 2011;36(1):59–64; 5–71. 10.1139/H11-012
    1. Konstabel K, Veidebaum T, Verbestel V, Moreno LA, Bammann K, Tornaritis M, et al. Objectively measured physical activity in European children: the IDEFICS study. Int J Obes (Lond). 2014;38 Suppl 2:S135–43.
    1. Santaliestra-Pasias AM, Mouratidou T, Verbestel V, Bammann K, Molnar D, Sieri S, et al. Physical activity and sedentary behaviour in European children: the IDEFICS study. Public Health Nutr. 2014;17(10):2295–306. 10.1017/S1368980013002486
    1. WHOEurope. Fruit and Vegetables for Health, Report of a Joint FAO/WHO Workshop.
    1. Leven VIG. Aanbevelingen voeding per leeftijdsgroep. 2014.
    1. Leven VIG. Voeding buiten de voedingsdriehoek [cited 2018..
    1. Yngve A, Wolf A, Poortvliet E, Elmadfa I, Brug J, Ehrenblad B, et al. Fruit and vegetable intake in a sample of 11-year-old children in 9 European countries: The Pro Children Cross-sectional Survey. Ann Nutr Metab. 2005;49(4):236–45. 10.1159/000087247
    1. Volksgezondheid WI. Gezondheidsenquête. 2013.
    1. Brug J, van Stralen MM, Te Velde SJ, Chinapaw MJ, De Bourdeaudhuij I, Lien N, et al. Differences in weight status and energy-balance related behaviors among schoolchildren across Europe: the ENERGY-project. Plos One. 2012;7(4):e34742 10.1371/journal.pone.0034742
    1. Pawellek I, Grote V, Theurich M, Closa-Monasterolo R, Stolarczyk A, Verduci E, et al. Factors associated with sugar intake and sugar sources in European children from 1 to 8 years of age. Eur J Clin Nutr. 2017;71(1):25–32. 10.1038/ejcn.2016.206
    1. Bammann K, Gwozdz W, Pischke C, Eiben G, Fernandez-Alvira JM, De Henauw S, et al. The impact of familial, behavioural and psychosocial factors on the SES gradient for childhood overweight in Europe. A longitudinal study. Int J Obes (Lond). 2017;41(1):54–60.
    1. 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. 10.1017/S136898001200290X
    1. Ventura AK, Birch LL. Does parenting affect children’s eating and weight status? Int J Behav Nutr Phys Act. 2008;5:15 10.1186/1479-5868-5-15
    1. Xu H, Wen LM, Rissel C. Associations of parental influences with physical activity and screen time among young children: a systematic review. J Obes. 2015;2015:546925 10.1155/2015/546925
    1. Masse LC, O’Connor TM, Tu AW, Hughes SO, Beauchamp MR, Baranowski T, et al. Conceptualizing physical activity parenting practices using expert informed concept mapping analysis. BMC Public Health. 2017;17(1):574 10.1186/s12889-017-4487-1
    1. Pinket AS, De Craemer M, De Bourdeaudhuij I, Deforche B, Cardon G, Androutsos O, et al. Can Parenting Practices Explain the Differences in Beverage Intake According to Socio-Economic Status: The Toybox-Study. Nutrients. 2016;8(10).
    1. Gerards SM, Sleddens EF, Dagnelie PC, de Vries NK, Kremers SP. Interventions addressing general parenting to prevent or treat childhood obesity. Int J Pediatr Obes. 2011;6(2–2):e28–45. 10.3109/17477166.2011.575147
    1. Golley RK, Magarey AM, Baur LA, Steinbeck KS, Daniels LA. Twelve-month effectiveness of a parent-led, family-focused weight-management program for prepubertal children: A randomized, controlled trial. Pediatrics. 2007;119(3):517–25. 10.1542/peds.2006-1746
    1. Robertson W, Friede T, Blissett J, Rudolf MC, Wallis M, Stewart-Brown S. Pilot of "Families for Health": community-based family intervention for obesity. Arch Dis Child. 2008;93(11):921–6. 10.1136/adc.2008.139162
    1. West F. The Lifestyle Triple P Project. Exploring the link between parenting skills training with healthy lifestyle information to support behaviour modification. Nutrit Dietetics. 2007.
    1. Dickin KL, Hill TF, Dollahite JS. The collaboration for health, activity, and nutrition in Children’s environments (CHANCE): a program integrating parenting and nutrtion behavioral education improves food, active play, and parenting practices in low-income families. Experimental Biology. 2010.
    1. Dickin KL, Hill TF, Dollahite JS. Practice-based evidence of effectiveness in an integrated nutrition and parenting education intervention for low-income parents. J Acad Nutr Diet. 2014;114(6):945–50. 10.1016/j.jand.2013.09.029
    1. Otterbach L, Mena NZ, Greene G, Redding CA, De Groot A, Tovar A. Community-based childhood obesity prevention intervention for parents improves health behaviors and food parenting practices among Hispanic, low-income parents. BMC Obes. 2018;5:11 10.1186/s40608-018-0188-2
    1. De Lepeleere S, De Bourdeaudhuij I, Cardon G, Verloigne M. Do specific parenting practices and related parental self-efficay associate with physicacl activity and screen time among primary schoolchildren? Cross-sectional study in Belgium. BMJ Open. 2015;5.
    1. Hinyard LJ, Kreuter MWJHE. Using narrative communication as a tool for health behavior change: a conceptual, theoretical, and empirical overview. Behavior 2007;34(5):777–92.
    1. De Lepeleere S, DeSmet A, Verloigne M, Cardon G, De Bourdeaudhuij I. What practices do parents perceive as effective or ineffective in promoting a healthy diet, physical activity, and less sitting in children: parent focus groups. BMC Public Health. 2013;13:1067 10.1186/1471-2458-13-1067
    1. Jackson JL, Chamberlin J, Kroenke K. Predictors of patient satisfaction. Soc Sci Med. 2001;52(4):609–20. 10.1016/s0277-9536(00)00164-7
    1. VanWormer JJ, Martinez AM, Cosentino D, Pronk NP. Satisfaction with a weight loss program: what matters? Am J Health Promot. 2010;24(4):238–45. 10.4278/ajhp.080613-QUAN-92
    1. Wilcox S, Laken M, Parrott AW, Condrasky M, Saunders R, Addy CL, et al. The faith, activity, and nutrition (FAN) program: design of a participatory research intervention to increase physical activity and improve dietary habits in African American churches. Contemp Clin Trials. 2010;31(4):323–35. 10.1016/j.cct.2010.03.011
    1. Manios Y, Androutsos O, C. L, Cardon G, J. L, Annemans L, et al. A school- and community-based intervention to promote healthy lifestyle and prevent type 2 diabetes in vulnerable families across Europe: design and implementation of the Feel4Diabetes-study. Public Health Nutrition. 2018.
    1. De Lepeleere S, Verloigne M, Brown HE, Cardon G, De Bourdeaudhuij I. Using the Intervention Mapping Protocol to develop an online video intervention for parents to prevent childhood obesity: Movie Models. Glob Health Promot. 2016.
    1. De Lepeleere S, De Bourdeaudhuij I, Cardon G, Verloigne M. The effect of an online video intervention ‘Movie Models’ on specific parenting practices and parental self-efficacy related to children’s physical activity, screen-time and healthy diet: a quasi experimental study. BMC Public Health. 2017;17(1):366 10.1186/s12889-017-4264-1
    1. VDAB-Arvastat: Vlaamse overheid; [.
    1. Makrilakis K, Liatis S, Grammatikou S, Perrea D, Stathi C, Tsiligros P, et al. Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes Metab. 2011;37(2):144–51. 10.1016/j.diabet.2010.09.006
    1. Schwarz P, Lindström J, Tuomilehto J. Tools for predicting the risk of type 2 diabetes in daily practice. Hormone and Metabolic Research. 2009;42(2):86–97.
    1. Saaristo T, Peltonen M, Lindstrom J, Saarikoski L, Sundvall J, Eriksson JG, et al. Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diab Vasc Dis Res. 2005;2(2):67–72. 10.3132/dvdr.2005.011
    1. Lindstrom J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725–31. 10.2337/diacare.26.3.725
    1. Organization WH. Waist Circumference and Waist-Hip Ratio—Report of a WHO Expert Consultation. Geneva: World Health Organization; 2008.
    1. Trost SG, Sallis JF, Pate RR, Freedson PS, Taylor WC, Dowda M. Evaluating a model of parental influence on youth physical activity. Am J Prev Med. 2003;25(4):277–82. 10.1016/s0749-3797(03)00217-4
    1. Larios SE, Ayala GX, Arredondo EM, Baquero B, Elder JP. Development and validation of a scale to measure Latino parenting strategies related to children’s obesigenic behaviors. The parenting strategies for eating and activity scale (PEAS). Appetite. 2009;52(1):166–72. 10.1016/j.appet.2008.09.011
    1. Sleddens EF, Kremers SP, De Vries NK, Thijs C. Relationship between parental feeding styles and eating behaviours of Dutch children aged 6–7. Appetite. 2010;54(1):30–6. 10.1016/j.appet.2009.09.002
    1. Decker JW. Initial development and testing of a questionnaire of parental self-efficacy for enacting healthy lifestyles in their children. J Spec Pediatr Nurs. 2012;17(2):147–58. 10.1111/j.1744-6155.2012.00330.x
    1. Crespo NC, Elder JP, Ayala GX, Slymen DJ, Campbell NR, Sallis JF, et al. Results of a multi-level intervention to prevent and control childhood obesity among Latino children: the Aventuras Para Ninos Study. Ann Behav Med. 2012;43(1):84–100. 10.1007/s12160-011-9332-7
    1. Lindsay AC, Sussner KM, Greaney ML, Peterson KE. Influence of social context on eating, physical activity, and sedentary behaviors of Latina mothers and their preschool-age children. Health Educ Behav. 2009;36(1):81–96. 10.1177/1090198107308375
    1. Bakeman R. Recommended effect size statistics for repeated measures designs. Behavior research methods. 2005;37(3):379–84. 10.3758/bf03192707
    1. Corder K, Crespo NC, van Sluijs EM, Lopez NV, Elder JP. Parent awareness of young children’s physical activity. Prev Med. 2012;55(3):201–5. 10.1016/j.ypmed.2012.06.021
    1. De Decker E, De Craemer M, De Bourdeaudhuij I, Wijndaele K, Duvinage K, Koletzko B, et al. Influencing factors of screen time in preschool children: an exploration of parents’ perceptions through focus groups in six European countries. Obes Rev. 2012;13 Suppl 1:75–84.
    1. Bukman AJ, Teuscher D, Feskens EJ, van Baak MA, Meershoek A, Renes RJ. Perceptions on healthy eating, physical activity and lifestyle advice: opportunities for adapting lifestyle interventions to individuals with low socioeconomic status. BMC Public Health. 2014;14:1036 10.1186/1471-2458-14-1036
    1. Cleland V, Granados A, Crawford D, Winzenberg T, Ball K. Effectiveness of interventions to promote physical activity among socioeconomically disadvantaged women: a systematic review and meta-analysis. Obes Rev. 2013;14(3):197–212. 10.1111/j.1467-789X.2012.01058.x
    1. Hu FB. Sedentary lifestyle and risk of obesity and type 2 diabetes. Lipids. 2003;38(2):103–8. 10.1007/s11745-003-1038-4
    1. Bernal G, Scharron-del-Rio MR. Are empirically supported treatments valid for ethnic minorities? Toward an alternative approach for treatment research. Cultur Divers Ethnic Minor Psychol. 2001;7(4):328–42. 10.1037/1099-9809.7.4.328
    1. Lakerveld J, Ijzelenberg W, van Tulder MW, Hellemans IM, Rauwerda JA, van Rossum AC, et al. Motives for (not) participating in a lifestyle intervention trial. BMC Med Res Methodol. 2008;8:17 10.1186/1471-2288-8-17
    1. van der Waerden JE, Hoefnagels C, Jansen MW, Hosman CM. Exploring recruitment, willingness to participate, and retention of low-SES women in stress and depression prevention. BMC Public Health. 2010;10:588 10.1186/1471-2458-10-588
    1. Teuscher D, Bukman AJ, van Baak MA, Feskens EJM, Renes RJ, Meershoek A. A lifestyle intervention study targeting individuals with low socioeconomic status of different ethnic origins: important aspects for successful implementation. BMC Public Health. 2017;18(1):54 10.1186/s12889-017-4592-1
    1. Intention to treat analysis and per protocol analysis: complementary information. Prescrire Int. 2012;21(133):304–6.
    1. Galobardes B, Shaw M, Lawlor DA, Lynch JW, Smith GD. Indicators of socioeconomic position (part 1). Journal of Epidemiology & Community Health. 2006;60(1):7–12.
    1. Zarnowiecki D, Dollman J, Parletta N. Associations between predictors of children’s dietary intake and socioeconomic position: a systematic review of the literature. Obesity reviews. 2014;15(5):375–91. 10.1111/obr.12139
    1. Galobardes B, Shaw M, Lawlor DA, Lynch JW, Smith GD. Indicators of socioeconomic position (part 2). Journal of Epidemiology & Community Health. 2006;60(2):95–101.

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