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      Dietary Quality in Adolescents With Type 1 Diabetes

      letter
      , MD, MPH, , MD, , MS, , MD
      Diabetes Care
      American Diabetes Association

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          Abstract

          Recent data demonstrate that youth with type 1 diabetes are not meeting established nutrition guidelines. However, comprehensive assessments of overall dietary quality in these youth are lacking, and it is unclear whether their dietary quality differs from that of their peers without diabetes. Therefore, we assessed comprehensive dietary quality in 50 adolescents with type 1 diabetes (mean age 14.9 ± 1.9 years, 54% male, 80% non-Hispanic white, 65% with household income ≤75,000 USD, diabetes duration 6.2 ± 4.0 years, and HbA1c 8.9 ± 1.5%) and 40 demographically similar adolescents without diabetes (mean age 14.9 ± 1.9 years, 48% male, 85% non-Hispanic white, and 59% with household income ≤75,000 USD) and sought to identify correlates of dietary quality. Individuals with other conditions affecting dietary intake (e.g., celiac disease) were excluded. This study has institutional review board approval. Dietary quality was assessed via U.S. Department of Agriculture–validated Healthy Eating Index-2005 (HEI), calculated from standardized 24-h food recalls; good dietary quality is defined as a score of 81–100 (1). Youth with diabetes completed validated questionnaires of carbohydrate knowledge (PedsCarbQuiz [PCQ]), diabetes self-care adherence (Self Care Inventory [SCI]), and diabetes-related quality of life (Pediatric Diabetes-Related Quality of Life [PedsQL]) (2–4) and a questionnaire assessing beliefs about the relationship between food/diet and diabetes. HEI scores were significantly lower in youth with type 1 diabetes than in those without diabetes (51.5 ± 11.2 vs. 57.7 ± 12.0, P = 0.01). This indicates that suboptimal dietary quality in adolescents with type 1 diabetes is due not only to secular trends but also to factors unique to children with type 1 diabetes. Rovner et al. (5) found similar dietary quality in children and adolescents with type 1 diabetes (HEI score 53.4 ± 11.0), suggesting that suboptimal dietary quality is a widespread problem among these youth. Among youth with type 1 diabetes, HEI scores were not associated with diabetes duration, number of nutritionist visits, HbA1c, SCI score, PedsQL score, or socioeconomic status. However, HEI scores were significantly correlated with carbohydrate knowledge as assessed by PCQ (r = 0.33, P = 0.02). We speculate that youth with greater carbohydrate-related knowledge eat a greater variety of fresh (rather than prepackaged) food because they are not dependent on prepackaged food labels in order to determine carbohydrate content. Children with type 1 diabetes have been theorized to eat poorly as a result of overemphasis on carbohydrates. However, we did not find evidence for this in our study, as only a minority of participants endorsed statements that diabetes limited overall dietary freedom (14%), that concern about hyperglycemia limited fruit intake (6%), that avoidance of additional insulin dosing caused excessive consumption of “free foods” (40%), or that fear of hypoglycemia led to excessive consumption of carbohydrates (22%). In conclusion, we found suboptimal dietary quality in youth with type 1 diabetes as well as demographically similar youth without diabetes, but youth with type 1 diabetes had even lower dietary quality scores. Among youth with diabetes in our sample, greater carbohydrate-related knowledge was the only correlate of better dietary quality. Interventions aimed at improving carbohydrate counting may therefore also have a positive impact on dietary quality.

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          The PedsQL as a pediatric patient-reported outcome: reliability and validity of the PedsQL Measurement Model in 25,000 children.

          The PedsQL Measurement Model was designed as a modular approach to measuring pediatric health-related quality of life, and developed to integrate the relative merits of generic and disease-specific approaches. The PedsQL 4.0 Generic Core Scales have been translated into over 60 languages, with published data on over 25,000 children and adolescents in more than 75 peer-reviewed journals since 2001 for healthy children and numerous pediatric chronic health conditions. The PedsQL Disease and Condition-Specific Modules were designed to measure health-related quality-of-life dimensions specifically tailored for pediatric chronic health conditions, and include the PedsQL Asthma, Arthritis/Rheumatology, Cancer, Diabetes, Cardiac and Cerebral Palsy Modules, as well as the generic PedsQL Multidimensional Fatigue Scale, Pediatric Pain Questionnaire, Family Impact Module and Healthcare Satisfaction Module. The PedsQL has demonstrated reliability, validity, sensitivity and responsiveness for child self report for ages 5-18 years and parent proxy report for ages 2-18 years. The PedsQL has been shown to be related to other key constructs in pediatric healthcare such as access to needed care, healthcare barriers and quality of primary care. Future advances in the PedsQL() Measurement Model include web-based electronic administration (ePedsQL), integration into the electronic medical record, further efficacy and effectiveness outcome trials, including PedsQL ResourceConnect(SM) and PedsQL TIPS(SM), the development of the generic PedsQL Infant Scales for ages birth to 24 months and disease and condition-specific modules for other pediatric chronic health conditions.
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            Development and Validation of a Questionnaire to Assess Carbohydrate and Insulin-Dosing Knowledge in Youth With Type 1 Diabetes

            OBJECTIVE The American Diabetes Association advocates insulin regimens for youth with type 1 diabetes that involve adjusting insulin dose based on carbohydrate intake and blood glucose level. Implementing these regimens requires knowledge about carbohydrate content of foods and subsequent calculations of insulin dose, skills that may be difficult to gauge in practice. Therefore, we sought to develop and validate a questionnaire, the PedCarbQuiz (PCQ), to assess carbohydrate and insulin-dosing knowledge in youth with type 1 diabetes. RESEARCH DESIGN AND METHODS After development by an expert panel, the PCQ was administered to 75 youth with type 1 diabetes or their parents. Reliability was assessed by Cronbach α and split-half testing. To assess validity, scores were correlated with A1C, expert assessments, parent educational level, and complexity of insulin regimen. RESULTS PCQ mean score was 87 ± 9.7% (range 42–98%). Cronbach α was 0.88, and correlation of split halves was 0.59 (P < 0.0001). Higher PCQ scores correlated significantly with lower A1C (r = −0.29, P = 0.01) and expert assessments (r = 0.56, P < 0.001). Scores were significantly higher in parents with college degrees than in those without (P = 0.01) and in participants with more complex insulin regimens (P = 0.003). CONCLUSIONS The PCQ is a novel, easily administered instrument to assess knowledge about carbohydrates and insulin dosing calculations. Initial analyses support the reliability and validity of the PCQ.
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              Development and Validation of the Type 1 Diabetes Nutrition Knowledge Survey

              OBJECTIVE The purpose of this study was to develop a survey of general and diabetes-specific nutrition knowledge for youth with type 1 diabetes and their parents and to assess the survey’s psychometric properties. RESEARCH DESIGN AND METHODS A multidisciplinary pediatric team developed the Nutrition Knowledge Survey (NKS) and administered it to youth with type 1 diabetes (n = 282, 49% females, 13.3 ± 2.9 years) and their parents (82% mothers). The NKS content domains included healthful eating, carbohydrate counting, blood glucose response to foods, and nutrition label reading. Higher NKS scores reflect greater nutrition knowledge (score range is 0–100%). In youths, glycemic control was assessed by A1C, and dietary quality was determined by the Healthy Eating Index-2005 (HEI-2005) derived from 3-day diet records. Validity was based on associations of NKS scores with A1C and dietary quality. Reliability was assessed using the Kuder-Richardson Formula 20 (KR-20) and correlations of domain scores to total score. RESULTS Mean NKS scores (23 items) were 56.9 ± 16.4% for youth and 73.4 ± 12.5% for parents. The KR-20 was 0.70 for youth and 0.59 for parents, representing acceptable internal consistency of the measure. In multivariate analysis, controlling for youth age, family income, parent education, diabetes duration, and insulin regimen, parent NKS scores were associated with corresponding youth A1C (β = −0.13, P = 0.03). Both parent (β = 0.20, P = 0.002) and youth (β = 0.25, P < 0.001) NKS scores were positively associated with youth HEI-2005 scores. CONCLUSIONS The NKS appears to be a useful measure of general and diabetes-specific nutrition knowledge for youth with type 1 diabetes and their parents.
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                August 2013
                11 July 2013
                : 36
                : 8
                : e113
                Affiliations
                [1]Department of Pediatrics, Rainbow Babies and Children’s Hospital, Case Western Reserve University, Cleveland, Ohio.
                Author notes
                Corresponding author: Nidhi Bansal, nbansal@ 123456bcm.edu .
                Article
                0436
                10.2337/dc13-0436
                3714533
                23881969
                c9ad81a5-d5c5-4c48-bcf3-a65ab07bc5ae
                © 2013 by the American Diabetes Association.

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

                History
                Page count
                Pages: 1
                Categories
                Online Letters: Observations

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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