Differences in biopsychosocial profiles of diabetes patients by level of glycaemic control and health-related quality of life: The Maastricht Study

PLoS ONE

Volumn 12, Issue 7, 2017, Pages

  Elissen, Arianne M J ^a   Hertroijs, Dorijn F L ^a   Schaper, Nicolaas C ^a,b,c   Bosma, Hans ^a   Dagnelie, Pieter C ^a,c   Henry, Ronald M ^b,c   Van Der Kallen, Carla J ^b,c   Koster, Annemarie ^a   Schram, Miranda T ^b,c   Stehouwer, Coen D A ^b,c   Schouten, Johannes S A G ^b   Berendschot, Tos T J M ^b   Ruwaard, Dirk ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

^c MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CHOLESTEROL; HEMOGLOBIN A1C; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL; GLUCOSE BLOOD LEVEL;

ADULT; AGE; ALCOHOL CONSUMPTION; ARTICLE; BODY MASS; BODY WEIGHT; CARDIOVASCULAR DISEASE; CHOLESTEROL BLOOD LEVEL; CHRONIC KIDNEY FAILURE; CROSS-SECTIONAL STUDY; DIABETIC PATIENT; DIABETIC RETINOPATHY; DIASTOLIC BLOOD PRESSURE; DISEASE ASSOCIATION; DISEASE DURATION; EDUCATIONAL STATUS; EMPLOYMENT STATUS; FEMALE; GLYCEMIC CONTROL; HEMOGLOBIN BLOOD LEVEL; HUMAN; INCOME; MAJOR CLINICAL STUDY; MALE; MARRIAGE; NEUROPATHIC PAIN; NON INSULIN DEPENDENT DIABETES MELLITUS; PHYSICAL ACTIVITY; QUALITY OF LIFE; SELF CONCEPT; SHORT FORM 36; SMOKING; SOCIAL PSYCHOLOGY; SOCIAL WELFARE; SYSTOLIC BLOOD PRESSURE; TRIACYLGLYCEROL BLOOD LEVEL; WAIST CIRCUMFERENCE; BIOLOGICAL MODEL; BLOOD; GLUCOSE BLOOD LEVEL; HEALTH; METABOLISM; MIDDLE AGED; NETHERLANDS; PSYCHOLOGY;

BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 2; FEMALE; HEALTH; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NETHERLANDS; QUALITY OF LIFE;

EID: 85026246419     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0182053     Document Type: Article

References (53)

1. Cebolla Garrofé B, Björnberg A, Yung Phang A. Euro Diabetes Index 2014. Täby, Health Consumer Powerhouse Ltd; 2014.
2. Netherlands Diabetes Federation (NDF). NDF Care Standard. Transparency and quality of diabetes care for people with diabetes type 2 [NDF Zorgstandaard. Transparantie en kwaliteit van diabeteszorg voor mensen met diabetes type 2]. Amersfoort: NDF; 2015.
3. Struijs JN, Baan CA. Integrating care through bundled payments: lessons from the Netherlands. N Engl J Med. 2011; 364(11): 990–991. https://doi.org/10.1056/NEJMp1011849 PMID: 21410368
4. De Bakker DH, Struijs JN, Baan CA, Raams J, De Wildt JE, Vrijhoef HJ, et al. Early results from adoption of bundled payment for diabetes care in the Netherlands show improvement in care coordination. Health Aff (Millwood). 2012; 31(2): 426–433
5. Struijs JN. How bundled health care payments are working in the Netherlands. NEJM Catalyst. 11 April 2016. http://catalyst.nejm.org/how-bundled-health-care-payments-are-working-in-the-netherlands/. Cited 9 November 2016.
6. InEen. Transparent integrated care. Report 2015 Care Groups. Diabetes mellitus, VRM, COPD and asthma [Transparante ketenzorg. Rapportage 2015 zorggroepen. Diabetes mellitus, VRM, COPD en astma. Op weg naar genuanceerde rapportage van zorg]. Utrecht: InEen; 2016.
7. Kleefstra N, Landman GWD, Van Hateren KJJ, Meulepas M, Romeijnders A, Rutten GE, et al. Dutch diabetes prevalence estimates (DUDE-1). J Diabetes. 2016; 8(6): 863–865 https://doi.org/10.1111/1753-0407.12370 PMID: 26694523
8. Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, et al. Management of hyperglycemia in type 2 diabetes: a patient-centered approach. Diabetes Care. 2012; 35(6): 1364–1379. https://doi.org/10.2337/dc12-0413 PMID: 22517736
9. Elissen AMJ, Steuten LMG, Lemmens LC, Drewes HW, Lemmens KM, Meeuwissen JA, et al. Meta-analysis of the effectiveness of chronic care management for diabetes: investigating heterogeneity in outcomes. J Eval Clin Pract. 2013; 19(5): 753–762. https://doi.org/10.1111/j.1365-2753.2012.01817.x PMID: 22372830
10. Riddle MC, Karl DM. Individualizing targets and tactics for high-risk patients with type 2 diabetes. Practical lessons from ACCORD and other cardiovascular trials. Diabetes Care. 2012; 35: 2100–2107. https://doi.org/10.2337/dc12-0650 PMID: 22996182
11. Schram MT, Sep SJ, Van der Kallen CJ, Dagnelie PC, Koster A, Schaper N, et al. The Maastricht Study: an extensive phenotyping study on determinants of type 2 diabetes, its complications and its comorbidities. Eur J Epidemiol. 2014; 29: 439–451. https://doi.org/10.1007/s10654-014-9889-0 PMID: 24756374
12. Kohnert KD, Heinke P, Vogt L, Salzsieder E. Utility of different glycemic control metrics for optimizing management of diabetes. World J Diabetes. 2015; 6(1): 17–29. https://doi.org/10.4239/wjd.v6.i1.17 PMID: 25685275
13. Pandey R, Dingari NC, Spegazzini N, Dasari RR, Horowitz GL, Barman I. Emerging trends in optical sensing of glycemic markers for diabetes monitoring. Trends Analyt Chem. 2015; 64: 100–108. https://doi.org/10.1016/j.trac.2014.09.005 PMID: 25598563
14. Snoek F, Welch G. Problem Areas in Diabetes Questionnaire. Novo Nordisk 2006. http://www.dawnstudy.com/content/dam/Dawnstudy/AFFILIATE/www-dawnstudy-com/Home/TOOLSANDRESOURCES/Documents/PAID_problem_areas_in_diabetes_questionnaire.pdf. Cited 12 October 2016.
15. Lamers LM, Stalmeier PFM, McDonnell J, Krabbe PFM, Van Busschbach JJ. Measuring the quality of life in cost-utility analyses: the Dutch EQ-5D tariff. Ned Tijdschr Geneeskd. 2005; 149: 1574–1578. PMID: 16038162
16. Ware JE, Kosinski M, Keller SD. SF-36 Physical and Mental Health Summary Scales: A User’s Manual. Boston MA: The Health Institute; 1994.
17. National Institute for Public Health and the Environment (RIVM). Health-related quality of life: description and definitions. [Gezondheidsgerelateerde kwaliteit van leven: beschrijving en definities]; 2015 [cited 2016 Oct 12]. Database: Toolkit Regional Public Health Status and Foresight Report [Internet]. http://www.toolkitvtv.nl/inhoud/indicatoren-en-bronnen/gezondheidstoestand/gezondheidsgerelateerde-kwaliteit-van-leven/.
18. Andersen RM, Newman JF. Societal and individual determinants of medical care utilization in the United States. Milbank Mem Fund Q Health Soc. 1973; 51(1): 95–124. PMID: 4198894
19. Banerji MA, Dunn JD. Impact of glycaemic control on healthcare resource utilization and costs of type 2 diabetes: current and future pharmacologic approaches to improving outcomes. Am Health Drug Benefits. 2013; 6(7): 382–392 PMID: 24991370
20. Testa MA, Simonson DC. Health economic benefits and quality of life during improved glycaemic control in patients with type 2 diabetes mellitus: a randomized, controlled, double-blind trial. JAMA. 1998; 280(17): 1490–1496. PMID: 9809729
21. Health Council of the Netherlands. Guidelines for a healthy diet 2006. The Hague: Health Council of the Netherlands; 2006.
22. Skinner EA. A guide to constructs of control. J Pers Soc Psychol. 1996; 71: 549–570. PMID: 8831161
23. Bosscher RJ, Laurijssen L, De Boer E. Competence at later age: an explorative study. [Competentie op latere leeftijd: Een exploratieve studie]. Bewegen & Hulpverlening. 1992; 9: 225–265.
24. Sherer M, Maddux JE, Mercandante B, Prentice-Dunn S, Jacobs B, Rogers RW. The self-efficacy scale: construction and validation. Psychol Rep. 1982; 51:663–71.
25. Pearlin LI, Schooler C. The structure of coping. J Health Soc Behav. 1978; 19(1): 2–21. PMID: 649936
26. Luteijn F, Starren J, van Dijk H. Handleiding bij de NPV: tweede herziene versie. [Manual for the Dutch Personality Questionnaire: second revised edition]. Lisse: Swets en Zeitlinger; 2000.
27. OECD. Quality review of the OECD database on household incomes and poverty and the OECD earnings database. Part I. Paris: OECD Publishing; 2012.
28. Spauwen PJJ, Martens RJH, Stehouwer CDA, Verhey FR, Schram MT, Sep SJ, et al. Lower verbal intelligence is associated with diabetic complications and slower walking speed in people with type 2 diabetes: the Maastricht Study. Diabet Med. 2016; 33(12): 1632–1639. https://doi.org/10.1111/dme.13105 PMID: 26926848
29. Martens RJ, Kooman JP, Stehouwer CD, Dagnelie PC, Van der Kallen CJ, Koster A, et al. Estimated GFR, Albuminuria, and Cognitive Performance: The Maastricht Study. Am J Kidney Dis. 2017; 69(2): 179–191. https://doi.org/10.1053/j.ajkd.2016.04.017 PMID: 27291486
30. Patient Health Questionnaire (PHQ). http://www.cqaimh.org/pdf/tool_phq9.pdf accessed 17 September 2016. Cited 15 October 2016.
31. Löwe B, Unützer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. 2004; 42: 1194–1201. PMID: 15550799
32. Nylund KL, Asparouhov T, Muthén B. Deciding on the number of classes in latent class analysis and growth mixture modeling. A Monte Carlo simulation study. Struct Equ Modeling. 2007; 14: 535–69.
33. Celeux G, Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. J Classif. 1996; 13: 195–212.
34. Muthén LK, Muthén BO. Mplus User’s Guide. Seventh Edition. Los Angeles CA: Muthén & Muthén; 2012.
35. StataCorp. Stata Statistical Software: Release 14. College Station TX: StataCorp LP; 2015.
36. Elissen AM, Duimel-Peeters IG, Spreeuwenberg C, Spreeuwenberg M, Vrijhoef HJ. Toward tailored disease management for type 2 diabetes. Am J Manag Care. 2012; 18(10):619–630. PMID: 23145806
37. Nolte E, Knai C, Hofmarcher M, Conklin A, Erler A, Elissen A, et al. Overcoming fragmentation in health care: chronic care in Austria, Germany and The Netherlands. Health Econ Policy Law. 2012; 7(1): 125–46. https://doi.org/10.1017/S1744133111000338 PMID: 22221931
38. Beckerle CM, Lavin MA. Association of self-efficacy and self-care with glycaemic control in diabetes. Diabetes Spectr. 2013; 26(3): 172–78.
39. Bosma H. Socioeconomic differences in health: are control beliefs fundamental mediators? In: Siegrist J, Marmot M, editors. Social inequalities in health: new evidence and policy implications. Oxford: Oxford University Press; 2006. Pp. 153–166.
40. Groffen DA, Bosma H, Tan FE, van den Akker M, Kempen GI, van Eijk JT. Material vs. psychosocial explanations of old-age educational differences in physical and mental functioning. Eur J Public Health. 2012; 22(4): 587–592. https://doi.org/10.1093/eurpub/ckr063 PMID: 21646362
41. Klabbers G, Bosma H, Kempen GI, Benzeval M, van den Akker M, van Eijk JT. Do psychosocial profiles predict self-rated health, morbidity and mortality in late middle-aged and older people? J Behav Med. 2014; 37(3): 357–368. https://doi.org/10.1007/s10865-013-9493-x PMID: 23386259
42. Mertens VC, Bosma H, Groffen DA, van Eijk JT. Good friends, high income or resilience? What matters most for elderly patients? Eur J Public Health. 2012; 22(5): 666–671. https://doi.org/10.1093/eurpub/ckr104 PMID: 21893506
43. Porter ME, Larsson S, Lee TH. Standardizing patient outcomes measurement. New Engl J Med. 2016; 374: 504–506. https://doi.org/10.1056/NEJMp1511701 PMID: 26863351
44. Lau CY, Qureshi AK, Scott SG. Association between glycaemic control and quality of life in diabetes mellitus. J Postgrad Med. 2004; 50(3): 189–193. PMID: 15377803
45. Dogan H, Harman E, Kocoglu H, Sargin G. Can metabolic control variables of diabetes patients predict their quality of life? J Am Soc Hypertens. 2016; 10(1): 81–88. https://doi.org/10.1016/j.jash.2015.11.014PMID: 26850525
46. Oliva J, Fernández-Bolaños A, Hidalgo A. Health-related quality of life in diabetic people with different vascular risk. BMC Public Health. 2012; 12: 812. https://doi.org/10.1186/1471-2458-12-812 PMID: 22994940
47. Lloyd A, Sawyer W, Hopkinson P. Impact of long-term complications on quality of life in patients with type 2 diabetes not using insulin. Value Health. 2001; 4(5): 392–400. https://doi.org/10.1046/j.15244733.2001.45029.x PMID: 11705130
48. Rijken M, Jones M, Heijmans M, Dixon A. Supporting self-management. In: Nolte E, McKee M, editors. Caring for people with chronic conditions. A health system perspective. New York, NY: Open University Press; 2008. pp. 116–142.
49. World Health Organization. Gaining Health: The European Strategy for the Prevention and Control of Noncommunicable Diseases. Copenhagen: WHO Regional Office for Europe; 2006.
50. Finch WH, Bronk KC. Conducting confirmatory latent class analysis using Mplus. Struct Equ Modeling. 2011; 18(1): 132–151.
51. Vermunt JK, Magidson J. Latent class analysis. In: Lewis-Beck M, Bryman A, Liao TF, editors. The Sage encyclopedia of social science research methods. Newbury Park, CA: Sage; 2004.
52. Smith RC. The biopsychosocial revolution. J Gen Intern Med. 2002; 17(4): 309–310.
53. Elissen AMJ, Hertroijs DFL, Schaper NC, Vrijhoef HJM, Ruwaard D. Profiling patients’ healthcare needs to support integrated, person-centered models for long-term disease management (profile): research design. Int J Integr Care. 2016; 16(2): 1. https://doi.org/10.5334/ijic.2208 PMID: 27616957