Factors influencing participant enrolment in a diabetes prevention program in general practice: lessons from the Sydney diabetes prevention program
详细信息    查看全文
  • 作者:Rachel A Laws (1)
    Philip Vita (2)
    Kamalesh Venugopal (1)
    Chris Rissel (1)
    Daniel Davies (2)
    Stephen Colagiuri (2)
  • 关键词:Diabetes prevention ; Program participation ; Enrolment ; Risk factors ; Research translation
  • 刊名:BMC Public Health
  • 出版年:2012
  • 出版时间:December 2012
  • 年:2012
  • 卷:12
  • 期:1
  • 全文大小:194KB
  • 参考文献:1. WHO: / Preventing Chronic Disease: a vital investment. 2005. [ / WHO a global report]
    2. Whiting DR, / et al.: IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030. / Diabetes Res Clin Pract 2011,94(3):311-21. CrossRef
    3. Pan XR, / et al.: Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: The Da Qing IGT and diabetes study. / Diabetes Care 1997,20(4):537-44. CrossRef
    4. Tuomilehto J, / et al.: Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. / N Engl J Med 2001,344(18):1343-350. CrossRef
    5. Knowler WC, / et al.: Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. / N Engl J Med 2002,346(6):393-03. CrossRef
    6. Kosaka K, Noda M, Kuzuya T: Prevention of type 2 diabetes by lifestyle intervention: A Japanese trial in IGT males. / Diabetes Res Clin Pract 2005,67(2):152-62. CrossRef
    7. Ramachandran A, / et al.: The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). / Diabetologia 2006,49(2):289-97. CrossRef
    8. Yamaoka K, Tango T: Efficacy of lifestyle education to prevent type 2 diabetes: a meta-analysis of randomized controlled trials. / Diabetes Care 2005,28(11):2780-786. CrossRef
    9. Gillies CL, / et al.: Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: Systematic review and meta-analysis. / Br Med J 2007,334(7588):299-02. CrossRef
    10. Absetz P, / et al.: Type 2 diabetes prevention in the “real world- One-year results of the GOAL implementation trial. / Diabetes Care 2007,30(10):2465-470. CrossRef
    11. Greaves CJ, / et al.: Motivational interviewing for modifying diabetes risk: A randomised controlled trial. / Br J Gen Pract 2008,58(553):535-40. CrossRef
    12. Kulzer B, / et al.: Prevention of diabetes self-management program (PREDIAS): effects on weight, metabolic risk factors, and behavioral outcomes. / Diabetes Care 2009,32(7):1143-146. CrossRef
    13. Mensink M, / et al.: Study on lifestyle intervention and impaired glucose tolerance Maastricht (SLIM): Preliminary results after one year. / Int J Obes 2003,27(3):377-84. CrossRef
    14. Laatikainen T, / et al.: Prevention of type 2 diabetes by lifestyle intervention in an Australian primary health care setting: Greater Green Triangle (GGT) Diabetes Prevention Project. / BMC Public Health 2007, 7:249. CrossRef
    15. Penn L, / et al.: Prevention of type 2 diabetes in adults with impaired glucose tolerance: the European Diabetes Prevention RCT in Newcastle upon Tyne, UK. / BMC Public Health 2009, 9:342. CrossRef
    16. Makrilakis K, / et al.: Implementation and effectiveness of the first community lifestyle intervention programme to prevent Type 2 diabetes in Greece. the DE-PLAN study. / Diabet Med 2010,27(4):459-65. CrossRef
    17. Saaristo T, / et al.: Lifestyle intervention for prevention of type 2 diabetes in primary health care: One-year follow-up of the finnish national diabetes prevention program (FIN-D2D). / Diabetes Care 2010,33(10):2146-151. CrossRef
    18. Almeida-Pititto B, / et al.: Predictive factors of non-deterioration of glucose tolerance following a 2-year behavioral intervention. / Diabetol Metab Syndr 2010,2(1):52.
    19. Bourn DM, / et al.: Impaired glucose tolerance and NIDDM: Does a lifestyle intervention program have an effect? / Diabetes Care 1994,17(11):1311-319. CrossRef
    20. Page RC, / et al.: Can life-styles of subjects with impaired glucose tolerance be changed? A feasibility study. / Diabet Med 1992,9(6):562-66. CrossRef
    21. Payne WR, / et al.: Effect of a low–resource-intensive lifestyle modification program incorporating gymnasium-based and home-based resistance training on type 2 diabetes risk in Australian adults. / Diabetes Care 2008,31(12):2244-250. CrossRef
    22. Sch?fer S, / et al.: Lifestyle intervention in individuals with normal versus impaired glucose tolerance. / Eur J Clin Invest 2007,37(7):535-43. CrossRef
    23. Vanderwood KK, / et al.: Implementing a state-based cardiovascular disease and diabetes prevention program. / Diabetes Care 2010,33(12):2543-545. CrossRef
    24. Colagiuri S, / et al.: The Sydney Diabetes Prevention Program: A community-based translational study. / BMC Public Health 2010, 10:328. CrossRef
    25. Chen L, / et al.: AUSDRISK: An Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures. / Medical Journal of Australia 2010,192(4):197-02.
    26. ABS: / 2033.0.55.001 - Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia - Data only. 2006. http://www.abs.gov.au/ausstats/abs@.nsf/mf/2033.0.55.001/2006 [cited 2008 March]
    27. Narayan KMV, / et al.: Randomized clinical trial of lifestyle interventions in Pima Indians: A pilot study. / Diabet Med 1998,15(1):66-2. CrossRef
    28. Wang Z, Hoy WE, Si D: Incidence of type 2 diabetes in Aboriginal Australians: An 11-year prospective cohort study. / BMC Public Health 2010, 10:487. CrossRef
    29. Gary-Webb TL, / et al.: Neighborhood Socioeconomic Status, Depression, and Health Status in the Look AHEAD (Action for Health in Diabetes) Study. / BMC Public Health 2011, 11:349. CrossRef
    30. Willi C, / et al.: Active smoking and the risk of type 2 diabetes: A systematic review and meta-analysis. / J Am Med Assoc 2007,298(22):2654-664. CrossRef
    31. Chinn DJ, / et al.: Factors associated with non-participation in a physical activity promotion trial. / Public Health 2006,120(4):309-19. CrossRef
    32. Robroek SJW, / et al.: Determinants of participation in worksite health promotion programmes: A systematic review. / Int J Behav Nutr Phys Act 2009, 6:26. CrossRef
    33. Diener-West M, / et al.: Sociodemographic and clinical predictors of participation in two randomized trials: Findings from the Collaborative Ocular Melanoma Study COMS Report No. 7. / Control Clin Trials 2001,22(5):526-37. CrossRef
    34. Klosky JL, / et al.: Predictors of non-participation in a randomized intervention trial to reduce environmental tobacco smoke (ETS) exposure in pediatric cancer patients. / Pediatr Blood Cancer 2009,52(5):644-49. CrossRef
    35. Harris M, Laws R, Amoroso C: Moving towards a more integrated approach to chronic disease prevention in Australian general practice. / Aust J Prim Health 2008,14(3):112-19.
    36. Wong KC, Brown AM, Li SCH: AUSDRISK: Application in general practice. / Aust Fam Physician 2011,40(7):524-26.
    37. Glasgow R, / et al.: Does the chronic care model serve also as a template for improving prevention. / Milbank Q 2001,79(4):579-12. CrossRef
    38. Amoroso C, / et al.: The 45 year old health check - Feasibility and impact on practices and patient behaviour. / Aust Fam Physician 2009,38(5):358-62.
    39. Balasubramanian B, / et al.: Practice level approaches for behavioral counseling and patient health behaviors. / Am J Prev Med 2008,35(5S):S407-S413. CrossRef
    40. Etz R, / et al.: Bridging primary care practices and communities to promote healthy behaviors. / Am J Prev Med 2008,35(5S):S390-S391. CrossRef
    41. Krist AH, / et al.: An Electronic Linkage System for Health Behavior Counseling. Effect on Delivery of the 5A’s. / Am J Prev Med 2008,35(5):S350-S358. CrossRef
    42. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/822/prepub
  • 作者单位:Rachel A Laws (1)
    Philip Vita (2)
    Kamalesh Venugopal (1)
    Chris Rissel (1)
    Daniel Davies (2)
    Stephen Colagiuri (2)

    1. Prevention Research Collaboration, School of Public Health, University of Sydney, New South Wales, 2006, Australia
    2. Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, University of Sydney, New South Wales, 2006, Australia
  • ISSN:1471-2458
文摘
Background The effectiveness of lifestyle interventions in reducing diabetes incidence has been well established. Little is known, however, about factors influencing the reach of diabetes prevention programs. This study examines the predictors of enrolment in the Sydney Diabetes Prevention Program (SDPP), a community-based diabetes prevention program conducted in general practice, New South Wales, Australia from 2008-011. Methods SDPP was an effectiveness trial. Participating general practitioners (GPs) from three Divisions of General Practice invited individuals aged 50-5 years without known diabetes to complete the Australian Type 2 Diabetes Risk Assessment tool. Individuals at high risk of diabetes were invited to participate in a lifestyle modification program. A multivariate model using generalized estimating equations to control for clustering of enrolment outcomes by GPs was used to examine independent predictors of enrolment in the program. Predictors included age, gender, indigenous status, region of birth, socio-economic status, family history of diabetes, history of high glucose, use of anti-hypertensive medication, smoking status, fruit and vegetable intake, physical activity level and waist measurement. Results Of the 1821 eligible people identified as high risk, one third chose not to enrol in the lifestyle program. In multivariant analysis, physically inactive individuals (OR: 1.48, P--.004) and those with a family history of diabetes (OR: 1.67, P--.000) and history of high blood glucose levels (OR: 1.48, P--.001) were significantly more likely to enrol in the program. However, high risk individuals who smoked (OR: 0.52, P--.000), were born in a country with high diabetes risk (OR: 0.52, P--.000), were taking blood pressure lowering medications (OR: 0.80, P--.040) and consumed little fruit and vegetables (OR: 0.76, P--.047) were significantly less likely to take up the program. Conclusions Targeted strategies are likely to be needed to engage groups such as smokers and high risk ethnic groups. Further research is required to better understand factors influencing enrolment in diabetes prevention programs in the primary health care setting, both at the GP and individual level.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700