Literature DB >> 23439184

Associations of youth and parent weight status with reported versus predicted daily energy intake and hemoglobin A1c in youth with type 1 diabetes mellitus.

Amanda L P Sands1, Laurie A Higgins, Sanjeev N Mehta, Tonja R Nansel, Leah M Lipsky, Lori M B Laffel.   

Abstract

BACKGROUND: The epidemic of overweight/obesity affects youth with type 1 diabetes mellitus (T1DM) and their families. In youth with T1DM and their parents, we examined weight status with reported and expected energy intake and with youth hemoglobin A1c (HbA1c).
METHODS: In 243 youth (48% female, 13 ± 3 years) and their parents (84% female, 45 ± 6 years), we assessed body mass index (BMI), prevalence of overweight/obesity, reported energy intake (REI), and youth glycemic control (HbA1c). The REI was compared with predicted daily energy requirements (DER; based on age, weight, sex, and physical activity).
RESULTS: Youth had diabetes duration of 6.3 ± 3.4 years and HbA1c of 8.5% ± 1.3%; 69% used insulin pump therapy. Overweight and obesity affected 23% and 11% of youth and 30% and 24% of parents, respectively. Youth and parent BMI (r = 0.38; p < .001) and weight status (overweight/obese; p < .001) were significantly associated. The ratio of REI:DER was significantly lower in overweight/obese compared with underweight/normal weight parents (1.0 ± 0.4 versus 1.2 ± 0.5; p = .001) but did not differ among youth by weight status. Both youth and parent BMI were positively correlated with youth HbA1c (r = 0.14, p = .02; r = 0.16, p = .01, respectively). Hemoglobin A1c tended to be higher in obese than in overweight and normal weight youth (mean ± standard deviation [SD] 8.4 ± 1.4, 8.4 ± 1.3, and 8.8 ± 1.0, respectively; p = .06) and was significantly higher in youth whose parents were obese versus overweight or underweight/normal weight (mean ± SD 8.2 ± 1.2, 8.5 ± 1.4, and 8.9 ± 1.5, respectively; p < .001).
CONCLUSIONS: Similar to the general population, overweight and obesity are prevalent among families of youth with T1DM. Weight status appears to influence self-REI in parents and glycemic control in youth with T1DM, suggesting the need for family-based dietary interventions.
© 2012 Diabetes Technology Society.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23439184      PMCID: PMC3692240          DOI: 10.1177/193229681300700131

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  35 in total

Review 1.  Childhood predictors of adult obesity: a systematic review.

Authors:  T J Parsons; C Power; S Logan; C D Summerbell
Journal:  Int J Obes Relat Metab Disord       Date:  1999-11

2.  An evaluation of energy intakes and the ratio of energy intake to estimated basal metabolic rate (EI/BMRest) in the North/South Ireland Food Consumption Survey.

Authors:  M J McGowan; K E Harrington; M Kiely; P J Robson; M B Livingstone; M J Gibney
Journal:  Public Health Nutr       Date:  2001-10       Impact factor: 4.022

3.  Family lifestyle and parental body mass index as predictors of body mass index in Australian children: a longitudinal study.

Authors:  V Burke; L J Beilin; D Dunbar
Journal:  Int J Obes Relat Metab Disord       Date:  2001-02

4.  Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living.

Authors:  G Johansson; A Wikman; A M Ahrén; G Hallmans; I Johansson
Journal:  Public Health Nutr       Date:  2001-08       Impact factor: 4.022

5.  Childhood environmental and genetic predictors of adulthood obesity: the cardiovascular risk in young Finns study.

Authors:  Markus Juonala; Jonna Juhola; Costan G Magnussen; Peter Würtz; Jorma S A Viikari; Russell Thomson; Ilkka Seppälä; Jussi Hernesniemi; Mika Kähönen; Terho Lehtimäki; Mikko Hurme; Risto Telama; Vera Mikkilä; Carita Eklund; Leena Räsänen; Mirka Hintsanen; Liisa Keltikangas-Järvinen; Mika Kivimäki; Olli T Raitakari
Journal:  J Clin Endocrinol Metab       Date:  2011-07-21       Impact factor: 5.958

6.  Resting energy expenditure in children and adolescents: agreement between calorimetry and prediction equations.

Authors:  G Rodríguez; L A Moreno; A Sarría; J Fleta; M Bueno
Journal:  Clin Nutr       Date:  2002-06       Impact factor: 7.324

7.  Underreporting of energy intake from a self-administered food-frequency questionnaire completed by adults in Montreal.

Authors:  Daniel Bedard; Bryna Shatenstein; Sylvie Nadon
Journal:  Public Health Nutr       Date:  2004-08       Impact factor: 4.022

8.  Reproducibility and validity of a semiquantitative food frequency questionnaire.

Authors:  W C Willett; L Sampson; M J Stampfer; B Rosner; C Bain; J Witschi; C H Hennekens; F E Speizer
Journal:  Am J Epidemiol       Date:  1985-07       Impact factor: 4.897

9.  Under-reporting of energy intake in the 1997 National Nutrition Survey.

Authors:  Catherine Pikholz; Boyd Swinburn; Patricia Metcalf
Journal:  N Z Med J       Date:  2004-09-24

10.  Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Authors:  P Ferrari; N Slimani; A Ciampi; A Trichopoulou; A Naska; C Lauria; F Veglia; H B Bueno-de-Mesquita; M C Ocké; M Brustad; T Braaten; M José Tormo; P Amiano; I Mattisson; G Johansson; A Welch; G Davey; K Overvad; A Tjønneland; F Clavel-Chapelon; A Thiebaut; J Linseisen; H Boeing; B Hemon; E Riboli
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

View more
  6 in total

Review 1.  Biopsychosocial Aspects of Weight Management in Type 1 Diabetes: a Review and Next Steps.

Authors:  Kimberly A Driscoll; Karen D Corbin; David M Maahs; Richard Pratley; Franziska K Bishop; Anna Kahkoska; Korey K Hood; Elizabeth Mayer-Davis
Journal:  Curr Diab Rep       Date:  2017-08       Impact factor: 4.810

Review 2.  Behavioural implications of traditional treatment and closed-loop automated insulin delivery systems in Type 1 diabetes: applying a cognitive restraint theory framework.

Authors:  A R Kahkoska; E J Mayer-Davis; K K Hood; D M Maahs; K S Burger
Journal:  Diabet Med       Date:  2017-09-11       Impact factor: 4.359

3.  Text messaging intervention for teens and young adults with diabetes.

Authors:  Jessica T Markowitz; Tara Cousineau; Debra L Franko; Alan T Schultz; Meredith Trant; Rachel Rodgers; Lori M B Laffel
Journal:  J Diabetes Sci Technol       Date:  2014-06-22

4.  Sociodemographic associations of longitudinal adiposity in youth with type 1 diabetes.

Authors:  Anna R Kahkoska; Christina M Shay; Sarah C Couch; Jamie Crandell; Dana Dabelea; Evgenia Gourgari; Jean M Lawrence; Angela D Liese; Catherine Pihoker; Beth A Reboussin; Natalie The; Elizabeth J Mayer-Davis
Journal:  Pediatr Diabetes       Date:  2018-09-14       Impact factor: 3.409

5.  Policaptil Gel Retard significantly reduces body mass index and hyperinsulinism and may decrease the risk of type 2 diabetes mellitus (T2DM) in obese children and adolescents with family history of obesity and T2DM.

Authors:  Stefano Stagi; Elisabetta Lapi; Salvatore Seminara; Paola Pelosi; Paolo Del Greco; Laura Capirchio; Massimo Strano; Sabrina Giglio; Francesco Chiarelli; Maurizio de Martino
Journal:  Ital J Pediatr       Date:  2015-02-15       Impact factor: 2.638

6.  Polymorphism of the FTO Gene Influences Body Weight in Children with Type 1 Diabetes without Severe Obesity.

Authors:  Włodzimierz Luczyński; Wojciech Fendler; Anna Ramatowska; Agnieszka Szypowska; Agnieszka Szadkowska; Wojciech Młynarski; Miron Chumiecki; Przemysława Jarosz-Chobot; Joanna Chrzanowska; Anna Noczyńska; Agnieszka Brandt; Małgorzata Myśliwiec; Barbara Głowińska-Olszewska; Paweł Bernatowicz; Oksana Kowalczuk; Artur Bossowski
Journal:  Int J Endocrinol       Date:  2014-08-19       Impact factor: 3.257

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.