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Resemblance of Diet Quality in Families of Youth with Type 1 Diabetes Participating in a Randomized Controlled Behavioral Nutrition Intervention Trial in Boston, MA (2010-2013): A Secondary Data Analysis

Published:October 31, 2018DOI:https://doi.org/10.1016/j.jand.2018.07.025

      Abstract

      Background

      Parent–child diet quality resemblance is unknown in families of youth with type 1 diabetes, for whom nutrition is central to disease management.

      Objective

      Examine diet quality resemblance in families of youth with type 1 diabetes participating in a behavioral nutrition intervention trial and investigate whether treatment assignment or family meal frequency modifies resemblance.

      Design

      This is a secondary data analysis from an 18-month randomized controlled trial conducted August 2010 to May 2013.

      Participants/setting

      Parent-youth dyads (N=136, child age=12.3±2.5 years) were recruited from a northeast US diabetes center.

      Main outcome measures

      Parent and child Healthy Eating Index-2005 (HEI-2005, reflecting adherence to 2005 Dietary Guidelines for Americans) and whole plant food density (WPFD, reflecting intervention target foods) were calculated from 3-day food records collected every 6 months.

      Statistical analysis

      Linear random effects models adjusting for demographics and disease characteristics investigated parent–child diet quality resemblance. Separate models examined whether treatment assignment or family meal frequency modified resemblance. Three-way interaction terms examined whether resemblance changed over time by treatment assignment.

      Results

      Time-varying parent and child HEI-2005 and WPFD were positively associated (P<0.001), and there were no interactions with family meals. Parent–child HEI-2005 resemblance was similar across treatment groups; however, parent–child WPFD resemblance was stronger in the intervention (β±standard error [SE]=.30±.06) vs control families (β±SE=.12±.05). Parent–child HEI-2005 resemblance was similar over time by treatment assignment, whereas parent–child WPFD resemblance increased over time for families in the intervention group (three-way interaction term β±SE=.03±.01).

      Conclusions

      Parent and youth diet quality were positively correlated in families of youth with type 1 diabetes. Resemblance was stronger in the intervention group for target foods, but not for a general measure of diet quality. The lack of effect modification by family meal frequency suggests that family diet quality resemblance is not contingent on shared meals.

      Keywords

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      References

        • Nansel T.R.
        • Haynie D.L.
        • Lipsky L.M.
        • Laffel L.M.
        • Mehta S.N.
        Multiple indicators of poor diet quality in children and adolescents with type 1 diabetes are associated with higher body mass index percentile but not glycemic control.
        J Acad Nutr Diet. 2012; 112: 1728-1735
        • Mayer-Davis E.J.
        • Nichols M.
        • Liese A.D.
        • et al.
        Dietary intake among youth with diabetes: The SEARCH for Diabetes in Youth Study.
        J Am Diet Assoc. 2006; 106: 689-697
        • Helgeson V.S.
        • Viccaro L.
        • Becker D.
        • Escobar O.
        • Siminerio L.
        Diet of adolescents with and without diabetes: trading candy for potato chips?.
        Diabetes Care. 2006; 29: 982-987
        • Overby N.C.
        • Flaaten V.
        • Veierod M.B.
        • et al.
        Children and adolescents with type 1 diabetes eat a more atherosclerosis-prone diet than healthy control subjects.
        Diabetologia. 2007; 50: 307-316
        • de Ferranti S.D.
        • de Boer I.H.
        • Fonseca V.
        • et al.
        Type 1 diabetes mellitus and cardiovascular disease: A scientific statement from the American Heart Association and American Diabetes Association.
        Diabetes Care. 2014; 37: 2843-2863
        • Orchard T.J.
        • Forrest K.Y.
        • Kuller L.H.
        • Becker D.J.
        Lipid and blood pressure treatment goals for type 1 diabetes: 10-year incidence data from the Pittsburgh Epidemiology of Diabetes Complications Study.
        Diabetes Care. 2001; 24: 1053-1059
        • Krishnan S.
        • Short K.R.
        Prevalence and significance of cardiometabolic risk factors in children with type 1 diabetes.
        J Cardiometab Syndr. 2009; 4: 50-56
        • Rodriguez B.L.
        • Fujimoto W.Y.
        • Mayer-Davis E.J.
        • et al.
        Prevalence of cardiovascular disease risk factors in U.S. children and adolescents with diabetes: The SEARCH for diabetes in youth study.
        Diabetes Care. 2006; 29: 1891-1896
        • Overby N.C.
        • Margeirsdottir H.D.
        • Brunborg C.
        • Andersen L.F.
        • Dahl-Jorgensen K.
        The influence of dietary intake and meal pattern on blood glucose control in children and adolescents using intensive insulin treatment.
        Diabetologia. 2007; 50: 2044-2051
        • Zhong V.W.
        • Lamichhane A.P.
        • Crandell J.L.
        • et al.
        Association of adherence to a Mediterranean diet with glycemic control and cardiovascular risk factors in youth with type I diabetes: The SEARCH Nutrition Ancillary Study.
        Eur J Clin Nutr. 2016; 70: 802-807
        • Nansel T.R.
        • Lipsky L.M.
        • Liu A.
        Greater diet quality is associated with more optimal glycemic control in a longitudinal study of youth with type 1 diabetes.
        Am J Clin Nutr. 2016; 104: 81-87
        • Savage J.S.
        • Fisher J.O.
        • Birch L.L.
        Parental influence on eating behavior: Conception to adolescence.
        J Law Med Ethics. 2007; 35: 22-34
        • Story M.
        • Neumark-Sztainer D.
        • French S.
        Individual and environmental influences on adolescent eating behaviors.
        J Am Diet Assoc. 2002; 102: S40-S51
        • Birch L.L.
        • Fisher J.O.
        Development of eating behaviors among children and adolescents.
        Pediatrics. 1998; 101: 539-549
        • Arcan C.
        • Neumark-Sztainer D.
        • Hannan P.
        • Van den Berg P.
        • Story M.
        • Larson N.
        Parental eating behaviors, home food environment and adolescent intakes of fruits, vegetables and dairy foods: Longitudinal findings from Project EAT.
        Public Health Nutr. 2007; 10: 1257-1265
        • Videon T.M.
        • Manning C.K.
        Influences on adolescent eating patterns: The importance of family meals.
        J Adolesc Health. 2003; 32: 365-373
        • Gillman M.W.
        • Rifas-Shiman S.L.
        • Frazier A.L.
        • et al.
        Family dinner and diet quality among older children and adolescents.
        Arch Fam Med. 2000; 9: 235-240
        • Hammons A.J.
        • Fiese B.H.
        Is frequency of shared family meals related to the nutritional health of children and adolescents?.
        Pediatrics. 2011; 127: e1565-e1574
        • Woodruff S.J.
        • Hanning R.M.
        A review of family meal influence on adolescents’ dietary intake.
        Can J Diet Pract Res. 2008; 69: 14-22
        • Wang Y.
        • Beydoun M.A.
        • Li J.
        • Liu Y.
        • Moreno L.A.
        Do children and their parents eat a similar diet? Resemblance in child and parental dietary intake: Systematic review and meta-analysis.
        J Epidemiol Community Health. 2011; 65: 177-189
        • Zuercher J.L.
        • Wagstaff D.A.
        • Kranz S.
        Associations of food group and nutrient intake, diet quality, and meal sizes between adults and children in the same household: A cross-sectional analysis of U.S. households [published November 28, 2011]..
        Nutr J. 2011; 10: 131https://doi.org/10.1186/1475-2891-10-131
        • Robson S.M.
        • Couch S.C.
        • Peugh J.L.
        • et al.
        Parent diet quality and energy intake are related to child diet quality and energy intake.
        J Acad Nutr Diet. 2016; 116: 984-990
        • Beydoun M.A.
        • Wang Y.
        Parent-child dietary intake resemblance in the United States: Evidence from a large representative survey.
        Soc Sci Med. 2009; 68: 2137-2144
        • Jacques P.F.
        • Tucker K.L.
        Are dietary patterns useful for understanding the role of diet in chronic disease?.
        Am J Clin Nutr. 2001; 73: 1-2
        • Hu F.B.
        Dietary pattern analysis: A new direction in nutritional epidemiology.
        Curr Opin Lipidol. 2002; 13: 3-9
        • Smart C.E.
        • Annan F.
        • Bruno L.P.C.
        • Higgins L.A.
        • Acerini C.L.
        Nutritional management in children and adolescents with diabetes.
        Pediatr Diabetes. 2014; 15: 135-153
        • Silverstein J.
        • Klingensmith G.
        • Copeland K.
        • et al.
        Care of children and adolescents with type 1 diabetes: A statement of the American Diabetes Association.
        Diabetes Care. 2005; 28: 186-212
        • Mehta S.N.
        • Haynie D.L.
        • Higgins L.A.
        • et al.
        Emphasis on carbohydrates may negatively influence dietary patterns in youth with type 1 diabetes.
        Diabetes Care. 2009; 32: 2174-2176
        • Rovner A.J.
        • Nansel T.R.
        Are children with type 1 diabetes consuming a healthful diet?: A review of the current evidence and strategies for dietary change.
        Diabetes Educ. 2009; 35: 97-107
        • Feunekes G.I.
        • Stafleu A.
        • de Graaf C.
        • van Staveren W.A.
        Family resemblance in fat intake in The Netherlands.
        Eur J Clin Nutr. 1997; 51: 793-799
        • Billon S.
        • Lluch A.
        • Gueguen R.
        • Berthier A.M.
        • Siest G.
        • Herbeth B.
        Family resemblance in breakfast energy intake: The Stanislas Family Study.
        Eur J Clin Nutr. 2002; 56: 1011-1019
        • Oliveria S.A.
        • Ellison R.C.
        • Moore L.L.
        • Gillman M.W.
        • Garrahie E.J.
        • Singer M.R.
        Parent-child relationships in nutrient intake: The Framingham Children’s Study.
        Am J Clin Nutr. 1992; 56: 593-598
        • Vauthier J.M.
        • Lluch A.
        • Lecomte E.
        • Artur Y.
        • Herbeth B.
        Family resemblance in energy and macronutrient intakes: The Stanislas Family Study.
        Int J Epidemiol. 1996; 25: 1030-1037
        • Dwyer L.
        • Oh A.
        • Patrick H.
        • Hennessy E.
        Promoting family meals: A review of existing interventions and opportunities for future research.
        Adolesc Health Med Ther. 2015; 6: 115-131
        • Berge J.M.
        • Everts J.C.
        Family-based interventions targeting childhood obesity: A meta-analysis.
        Child Obes. 2011; 7: 110-121
        • Nansel T.R.
        • Laffel L.M.
        • Haynie D.L.
        • et al.
        Improving dietary quality in youth with type 1 diabetes: randomized clinical trial of a family-based behavioral intervention.
        Int J Behav Nutr Phys Act. 2015; 12: 58
        • Nutrition Coordinating Center (NCC)
        Nutrition Data System for Research. 2012 ed..
        University of Minnesota, Minneapolis, MN2012
        • Miller P.E.
        • Mitchell D.C.
        • Harala P.L.
        • Pettit J.M.
        • Smiciklas-Wright H.
        • Hartman T.J.
        Development and evaluation of a method for calculating the Healthy Eating Index-2005 using the Nutrition Data System for Research.
        Public Health Nutr. 2011; 14: 306-313
        • US Department of Health. Services H
        US Department of Agriculture. Dietary Guidelines for Americans, 2005.
        US Government Printing Office, Washington, DC2005
        • Guenther P.M.
        • Reedy J.
        • Krebs-Smith S.M.
        Development of the Healthy Eating Index-2005.
        J Am Diet Assoc. 2008; 108: 1896-1901
        • Lipsky L.M.
        • Cheon K.
        • Nansel T.R.
        • Albert P.S.
        Candidate measures of whole plant food intake are related to biomarkers of nutrition and health in the US population (National Health and Nutrition Examination Survey 1999-2002).
        Nutr Res. 2012; 32: 251-259
        • Neumark-Sztainer D.
        • Wall M.
        • Story M.
        • Fulkerson J.A.
        Are family meal patterns associated with disordered eating behaviors among adolescents?.
        J Adolesc Health. 2004; 35: 350-359
      1. Bishaw A, Macartney S. Poverty: 2008 and 2009. In: American Community Survey Briefs. Vol 092010. Washington, DC: US Census Bureau; 2010.

        • Kuczmarski R.J.
        • Ogden C.L.
        • Grummer-Strawn L.M.
        • et al.
        CDC growth charts: United States.
        Adv Data. 2000; 314: 1-27
      2. Stata Statistical Software. Release 14. College Station, TX: StataCorp LP; 2015.

        • Laster L.E.R.
        • Lovelady C.A.
        • West D.G.
        • et al.
        Diet quality of overweight and obese mothers and their preschool children.
        J Acad Nutr Diet. 2013; 113: 1476-1483
      3. Fungwe T, Guenther PM, Juan W, Hiza H, Lino M. Quality of children’s diets in 2003-04 as measured by the Healthy Eating Index-2005. Nutrition Insight. Vol 43. Alexandria, VA: Center for Nutrition Policy and Promotion, US Department of Agriculture; 2009.

      4. Hiza H, Guenther PM, Rihane CI. Diet quality of children age 2-17 years as measured by the Healthy Eating Index-2010. Nutrition Insight. Vol 52. Alexandria, VA: Center for Nutrition Policy and Promotion, US Department of Agriculture; 2013.

        • Vereecken C.
        • Haerens L.
        • De Bourdeaudhuij I.
        • Maes L.
        The relationship between children’s home food environment and dietary patterns in childhood and adolescence.
        Public Health Nutr. 2010; 13: 1729-1735
        • Loth K.A.
        • Friend S.
        • Horning M.L.
        • Neumark-Sztainer D.
        • Fulkerson J.A.
        Directive and non-directive food-related parenting practices: Associations between an expanded conceptualization of food-related parenting practices and child dietary intake and weight outcomes.
        Appetite. 2016; 107: 188-195
        • Fildes A.
        • van Jaarsveld C.H.
        • Llewellyn C.H.
        • Fisher A.
        • Cooke L.
        • Wardle J.
        Nature and nurture in children’s food preferences.
        Am J Clin Nutr. 2014; 99: 911-917
        • Nansel T.R.
        • Haynie D.L.
        • Lipsky L.M.
        • Wang J.
        • Mehta S.N.
        • Laffel L.M.
        Relationships among parent and youth healthful eating attitudes and youth dietary intake in a cross-sectional study of youth with type 1 diabetes [published November 6, 2013]..
        Int J Behav Nutr Phys Act. 2013; 10: 125https://doi.org/10.1186/1479-5868-10-125
        • Fulkerson J.A.
        • Larson N.
        • Horning M.
        • Neumark-Sztainer D.
        A review of associations between family or shared meal frequency and dietary and weight status outcomes across the lifespan.
        J Nutr Educ Behav. 2014; 46: 2-19
        • Thompson F.E.
        • Subar A.F.
        Dietary assessment methodology.
        in: Coulston A.M. Boushey C.J. Nutrition in the Prevention and Treatment of Disease. 2nd ed. Elsevier Academic Press, Burlington, MA2008: 3-39
        • Kestenbaum B.
        Epidemiology and Biostatistics: An Introduction to Clinical Research.
        Springer, Dordrecht, Netherlands2009

      Biography

      L. M. Lipsky is a staff scientist, Social and Behavioral Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.

      Biography

      D. L. Haynie is a staff scientist, Social and Behavioral Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.

      Biography

      T. R. Nansel is a senior investigator, Social and Behavioral Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.

      Biography

      A. Liu is a senior investigator, Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.