A psychosocial risk index for poor glycemic control in children and adolescents with type 1 diabetes

Pediatric Diabetes

Volumn 15, Issue 3, 2014, Pages 190-197

  Schwartz, David D ^a   Axelrad, Marni E ^a   Anderson, Barbara J ^a  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

Glycemic control; Psychosocial; Risk assessment; Screening tools; Type 1 diabetes

Indexed keywords

HEMOGLOBIN A1C; GLYCOSYLATED HEMOGLOBIN; HEMOGLOBIN A1C PROTEIN, HUMAN;

ADOLESCENT; ADOLESCENT DISEASE; ADULT; ARTICLE; CHILD; CHILDHOOD DISEASE; COHORT ANALYSIS; DIABETIC KETOACIDOSIS; EMERGENCY WARD; FEMALE; GLYCEMIC CONTROL; HIGH RISK PATIENT; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PSYCHOLOGIC TEST; PSYCHOSOCIAL RISK INDEX; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK; SENSITIVITY AND SPECIFICITY; BLOOD; DIABETES MELLITUS, TYPE 1; EMERGENCY HEALTH SERVICE; HOSPITAL; HYPERGLYCEMIA; OUTPATIENT DEPARTMENT; PATIENT COMPLIANCE; PRESCHOOL CHILD; PROCEDURES; PSYCHOLOGICAL MODEL; PSYCHOLOGY; RISK ASSESSMENT; RISK FACTOR; UNITED STATES; VALIDATION STUDY;

ADOLESCENT; CHILD; CHILD, PRESCHOOL; COHORT STUDIES; DIABETES MELLITUS, TYPE 1; DIABETIC KETOACIDOSIS; EMERGENCY SERVICE, HOSPITAL; FEMALE; HEMOGLOBIN A, GLYCOSYLATED; HOSPITALS, PEDIATRIC; HUMANS; HYPERGLYCEMIA; LONGITUDINAL STUDIES; MALE; MODELS, PSYCHOLOGICAL; OUTPATIENT CLINICS, HOSPITAL; PATIENT COMPLIANCE; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; TEXAS;

EID: 84900508484     PISSN: 1399543X     EISSN: 13995448     Source Type: Journal    
DOI: 10.1111/pedi.12084     Document Type: Article

References (43)

1. Petitti DB, Klingensmith GJ, Bell RA et al. Glycemic control in youth with diabetes: the SEARCH for diabetes in Youth Study. J Pediatr 2009: 155: 668-672.
2. Diabetes Control and Complications Trial Research Group. The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the Diabetes Control and Complications Trial. Diabetes 1995: 44: 968-983.
3. Fowler MJ. Microvascular and macrovascular complications of diabetes. Clin Diabetes 2008: 26: 77-82.
4. Lachin JM, Genuth S, Nathan DM, Zinman B, Rutledge BN. Effect of glycemic exposure on the risk of microvascular complications in the diabetes control and complications trial-revisited. Diabetes 2008: 57: 995-1001.
5. Hassan K, Loar R, Anderson BJ, Heptulla RA. The role of socioeconomic status, depression, quality of life, and glycemic control in type 1 diabetes mellitus. J Pediatr 2006: 149: 526-531.
6. Rewers A, Chase HP, Mackenzie T et al. Predictors of acute complications in children with type 1 diabetes. JAMA 2002: 19: 2511-2518.
7. Cameron F, Northam E, Ambler G, Daneman D. Routine psychological screening in youth with type 1 diabetes and their parents: a notion whose time has come? Diabetes Care 2007: 30: 2716-2724.
8. Schwartz DD, Cline VD, Hansen J, Axelrad ME, Anderson BJ. Early risk factors for nonadherence in pediatric type 1 diabetes:a review of the recent literature. Curr Diabetes Rev 2010: 6: 167-183.
9. Kazak A. Pediatric Psychosocial Preventative Health Model (PPPHM): research, practice and collaboration in pediatric family systems medicine. Fam Syst Health 2006: 24: 381-395.
10. Schwartz DD, Axelrad ME, Cline VD, Anderson BJ. A model psychosocial screening program for children and youth with newly diagnosed type 1 diabetes: Implications for psychologists across contexts of care. Prof Psychol Res Pract 2011: 42: 324-330.
11. Winkley K, Landau S, Eisler I, Ismail K. Psychological interventions to improve glycaemic control in patients with type 1 diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ 2006: 65-69.
12. Silverstein J, Klingensmith G, Copeland K et al. Care of children and adolescents with type 1 diabetes. Diabetes Care 2005: 28: 186-212.
13. Schwartz DD, Cline VD, Axelrad ME, Anderson BJ. Feasibility, acceptability, and predictive validity of a psychosocial screening program for children and youth newly diagnosed with Type 1 diabetes. Diabetes Care 2011: 34: 326-331.
14. Jellinek MS, Murphy JM, Little M, Pagano ME, Comer DM, Kelleher KJ. Use of the Pediatric Symptom Checklist to screen for psychosocial problems in pediatric primary care: a national feasibility study. Arch Pediatr Adolesc Med 1999: 254-260.
15. Varni J, Burwinkle T, Lane M. Health-related quality of life measurement in pediatric clinical practice: An appraisal and precept for future research and application. Health Qual Life Outcomes 2005: 3: 1-9.
16. Wolfsdorf J, Craig ME, Daneman D et al. Diabetic ketoacidosis in children and adolescents with diabetes. Pediatr Diabetes 2009: 10: 118-133.
17. Mayer-Davis EJ, Beyer J, Bell RA et al. Diabetes in African American youth: prevalence, incidence, and clinical characteristics: the SEARCH for Diabetes in Youth Study. Diabetes Care 2009: 32 (Suppl 2): S112-S122.
18. Steyerberg EW, Eijkemans MJ, Harrell FE Jr, Habbema JD. Prognostic modeling with logistic regression analysis: in search of a sensible strategy in small data sets. Med Decis Making 2001: 21: 45-56.
19. Kamps JL, Hempe JM, Chalew SA. Racial disparity in A1C independent of mean blood glucose in children with type 1 diabetes. Diabetes Care 2010: 33: 1025-1027.
20. Herman WH, Ma Y, Uwaifo G et al. Differences in A1C by race and ethnicity among patients with impaired glucose tolerance in the Diabetes Prevention Program. Diabetes Care 2007: 30: 2453-2457.
21. Grimsby JL, Porneala BC, Vassy JL, Yang Q, Florez JC, Dupuis J, Liu T, Yesupriya A, Chang MH, Ned RM, Dowling NF, Khoury MJ, Meigs JB, and the MAGIC Investigators. Race-ethnic differences in the association of genetic loci with HbA1c levels and mortality in US adults: the third National Health and Nutrition Examination Survey (NHANES III). BMC Med Genet 2012; 13: 30.
22. Sauerbrei W, Schumacher M. A bootstrap resampling procedure for model building: application to the Cox regression model. Stat Med 1992: 11: 2093-109.
23. Austin PC, Tu JV. Bootstrap methods for developing predictive models. Am Stat 2004: 58: 131-137.
24. Heymans M, van Buuren S, Knol D et al. Variable selection under multiple imputation using the bootstrap in a prognostic study. BMC Med Res Methodol 2007: 7: 33.
25. Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updating. Springer, 2008.
26. Grimes DA, Schulz KF. Epidemiology 3. Refining clinical diagnosis with likelihood ratios. Lancet 2005: 365: 1500-1505.
27. McGee S. Simplifying likelihood ratios. J Gen Intern Med 2002: 17: 647-650.
28. Jaeschke R, Guyatt G, Sackett DL, and the Evidence-Based Medicine Working Group. User's guide to the medical literature: III. How to use an article about a diagnostic test, B. What are the results and will they help me in caring for my patients? JAMA 1994; 271:703-707.
29. Writing Team for the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group. Sustained effect of intensive treatment of type 1 diabetes mellitus on development and progression of diabetic nephropathy: the Epidemiology of Diabetes Interventions and Complications (EDIC) study. JAMA 2003: 290: 2159-2167.
30. Tabachnick BG, Fidell LS. 1996. Using multivariate statistics (3rded.). Boston: Allyn & Bacon.
31. Noble D, Mathur R, Dent T, Meads C, Greenhalgh T. Risk models and scores for type 2 diabetes: systematic review. BMJ 2011: 343: 1-31.
32. Svoren B, Butler D, Levine B, Anderson B, Laffel L. Reducing acute adverse outcomes in youth with type 1 diabetes mellitus: a randomized controlled trial. Pediatrics 2003: 112: 914-922.
33. Beale IL. Scholarly literature review: Efficacy of psychological interventions for pediatric chronic illnesses. J Pediatr Psychol 2006: 31: 437-451.
34. Kahana S, Drotar D, Frazier T. Meta-analysis of psychological interventions to promote adherence to treatment in pediatric chronic health conditions. J Pediatr Psychol 2008: 33: 590-611.
35. Anderson BJ, Brackett J, Ho J, Laffel LM. An office-based intervention to maintain parent-adolescent teamwork in diabetes management. Impact on parent involvement, family conflict, and subsequent glycemic control. Diabetes Care 1999: 22: 713-721.
36. Ashton CM, Haidet P, Paterniti DA et al. Racial and ethnic disparities in the use of health services. J Gen Intern Med 2003: 18: 1-7.
37. Tran AN, Haidet P, Street RL, O'Malley KJ, Martin F, Ashton CM. Empowering communication: a community-based intervention for patients. Patient Educ Couns 2004: 52: 113-121.
38. Haskard Zolnierek KB, DiMatteo MR. Physician communication and patient adherence to treatment: a meta-analysis. Med Care 2009: 47: 826-834.
39. D'Agostino RB Sr, Vasan RS, Pencina MJ et al. General cardiovascular risk profile for use in primary care: the Framingham heart study. Circulation 2008: 117: 743-53.
40. Lloyd-Jones DM. Cardiovascular risk prediction: basic concepts, current status, and future directions. Circulation 2010: 121: 1768-1777.
41. Hippisley-Cox J, Coupland C, Robson J, Sheikh A, Brindle P. Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ 2009: 338: b880.
42. Carter BD, Kronenberger WG, Baker J et al. Inpatient pediatric consultation-liaison: A case-controlled study. J Pediatr Psychol 2003: 28: 423-432.
43. Koh HK, Sebelius KG. Promoting prevention through the affordable care act. N Engl J Med 2010: 363: 1296-1299.