Adapting an effective lifestyle intervention towards individuals with low socioeconomic status of different ethnic origins: the design of the MetSLIM study

详细信息    查看全文

• 作者：Dorit Teuscher (1)
  Andrea J Bukman (2)
  Agnes Meershoek (3)
  Reint Jan Renes (4)
  Edith JM Feskens (2)
  Marleen A van Baak (1)
  
  1. Department of Human Biology ; Maastricht University Medical Centre+ ; NUTRIM School for Nutrition ; Toxicology and Metabolism ; P.O Box 616 ; 6200 ; MD ; Maastricht ; The Netherlands
  2. Division of Human Nutrition ; Wageningen University ; P.O Box 8129 ; 6700 ; EV ; Wageningen ; The Netherlands
  3. Department of Health ; Ethics and Society ; Maastricht University Medical Centre+ ; CAPHRI ; P.O Box 616 ; 6200 ; MD ; Maastricht ; The Netherlands
  4. Division of Strategic Communication ; Wageningen University ; P.O Box 8130 ; 6700 ; EW ; Wageningen ; The Netherlands
  
• 关键词：Study protocol ; Lifestyle intervention ; Health promotion ; Socioeconomic status ; Ethnic groups
• 刊名：BMC Public Health
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：15
• 期：1
• 全文大小：387 KB
• 参考文献：1. Penn, L, White, M, Lindstr枚m, J, Boer, AT, Blaak, E, Eriksson, JG (2013) Importance of weight loss maintenance and risk prediction in the prevention of type 2 diabetes: analysis of European Diabetes Prevention Study RCT. PLoS ONE 8: pp. e57143 ew window">CrossRef
  2. Lin, JS, O'Connor, E, Evans, CV, Senger, CA, Rowland, MG, Groom, HC (2014) Behavioral counseling to promote a healthy lifestyle in persons with cardiovascular risk factors: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med 161: pp. 568-578 ew window">CrossRef
  3. Roumen, C, Blaak, EE, Corpeleijn, E (2009) Lifestyle intervention for prevention of diabetes: determinants of success for future implementation. Nutr Rev 67: pp. 132-146 ew window">CrossRef
  4. Pagoto, SL, Schneider, KL, Oleski, JL, Luciani, JM, Bodenlos, JS, Whited, MC (2012) Male inclusion in randomized controlled trials of lifestyle weight loss interventions. Obesity 20: pp. 1234-1239 ew window">CrossRef
  5. Chinn, DJ, White, M, Howel, D, Harland, JOE, Drinkwater, CK (2006) Factors associated with non-participation in a physical activity promotion trial. Public Health 120: pp. 309-319 ew window">CrossRef
  6. Lakerveld, J, IJzelenberg, W, Tulder, MW, Hellemans, IM, Rauwerda, JA, Rossum, AC (2008) Motives for (not) participating in a lifestyle intervention trial. BMC Med Res Methodol 8: pp. 17 ew window">CrossRef
  7. Dalstra, JAA, Kunst, AE, Borrell, C, Breeze, E, Cambois, E, Costa, G (2005) Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries. Int J Epidemiol 34: pp. 316-326 ew window">CrossRef
  8. Uitewaal, PJM, Manna, DR, Bruijnzeels, MA, Hoes, AW, Thomas, S (2004) Prevalence of type 2 diabetes mellitus, other cardiovascular risk factors, and cardiovascular disease in Turkish and Moroccan immigrants in North West Europe: a systematic review. Prev Med 39: pp. 1068-1076 ew window">CrossRef
  9. Ujcic-Voortman, JK, Schram, MT, Jacobs-van der Bruggen, MA, Verhoeff, AP, Baan, CA (2009) Diabetes prevalence and risk factors among ethnic minorities. Eur J Pub Health 19: pp. 511-515 ew window">CrossRef
  10. Mensink, M, Corpeleijn, E, Feskens, EJM, Kruijshoop, M, Saris, WHM, Bruin, TWA (2003) Study on lifestyle-intervention and impaired glucose tolerance Maastricht (SLIM): design and screening results. Diabetes Res Clin Pract 61: pp. 49-58 ew window">CrossRef
  11. Mensink, M, Feskens, EJM, Saris, WHM, Bruin, TWA, Blaak, EE (2003) Study on lifestyle intervention and impaired glucose tolerance Maastricht (SLIM): preliminary results after one year. Int J Obes 27: pp. 377-384 ew window">CrossRef
  12. Roumen, C, Feskens, EJM, Corpeleijn, E, Mensink, M, Saris, WHM, Blaak, EE (2011) Predictors of lifestyle intervention outcome and dropout: the SLIM study. Eur J Clin Nutr 65: pp. 1141-1147 ew window">CrossRef
  13. Jacobs-van der Bruggen, MAM, Bos, G, Bemelmans, WJ, Hoogenveen, RT, Vijgen, SM, Baan, CA (2007) Lifestyle interventions are cost-effective in people with different levels of diabetes risk: results from a modeling study. Diabetes Care 30: pp. 128-134 ew window">CrossRef
  14. Ashwell, M, Gunn, P, Gibson, S (2012) Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev 13: pp. 275-286 ew window">CrossRef
  15. Browning, LM, Hsieh, SD, Ashwell, M (2010) A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev 23: pp. 247-269 ew window">CrossRef
  16. Population; sex, age, origin and generation, 1 January [http://statline.cbs.nl/Statweb/publication/?DM=SLEN&PA=37325eng&D1=0&D2=0&D3=0&D4=0&D5=04,102,139,216,231&D6=16&LA=EN&HDR=G2,G3,G5&STB=G1,T,G4&VW=T]
  17. Gezonde levensverwachting; opleidingsniveau [Healthy life expectancy, education level. In Dutch] [http://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=71885ned]
  18. Knol, F, Boelhouwer, J, Ross, JA (2012) Statusontwikkeling van wijken in Nederland 1998鈥?010 [Neighbourhood status development in The Netherlands 1998鈥?010]. Sociaal en Cultureel Planbureau, The Hague
  19. Corpeleijn, E, Feskens, EJM, Jansen, EHJM, Mensink, M, Saris, WHM, Bruin, TWA (2006) Improvements in glucose tolerance and insulin sensitivity after lifestyle intervention are related to changes in serum fatty acid profile and desaturase activities: the SLIM study. Diabetologia 49: pp. 2392-2401 ew window">CrossRef
  20. Cornier, MA, Dabelea, D, Hernandez, TL, Lindstrom, RC, Steig, AJ, Stob, NR (2008) The metabolic syndrome. Endocr Rev 29: pp. 777-822 ew window">CrossRef
  21. Alberti, KGMM, Eckel, RH, Grundy, SM, Zimmet, PZ, Cleeman, JI, Donato, KA (2009) Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120: pp. 1640-1645 ew window">CrossRef
  22. Schmidt, M, Absalah, S, Nierkens, V, Stronks, K (2008) Which factors engage women in deprived neighbourhoods to participate in exercise referral schemes?. BMC Public Health 8: pp. 371 ew window">CrossRef
  23. Bell, TS, Branston, LK, Newcombe, RG, Barton, GR (1999) Interventions to improve uptake of breast screening in inner city Cardiff general practices with ethnic minority lists. Ethnic Health 4: pp. 277-284 ew window">CrossRef
  24. Cleland, V, Ball, K (2010) Recruiting hard-to-reach populations: lessons from a study of women living in socioeconomically disadvantaged areas of Victoria, Australia. Health Prom J Austr 21: pp. 243-244
  25. Bukman, AJ, Teuscher, D, Feskens, EJM, Baak, MA, Meershoek, A, Renes, RJ (2014) Perceptions on healthy eating, physical activity and lifestyle advice: opportunities for adapting lifestyle interventions to individuals with low socioeconomic status. BMC Public Health 14: pp. 1036 ew window">CrossRef
  26. Teuscher D, Bukman AJ, van Baak MA, Feskens EJM, Renes RJ, Meershoek A: Challenges of a healthy lifestyle for socially disadvantaged people of Dutch, Moroccan and Turkish origin in the Netherlands: a focus group study. Critical Public Health 2014, DOI: 10.1080/09581596.2014.962013
  27. Hosper, K, Nierkens, V, Valkengoed, I, Stronks, K (2008) Motivational factors mediating the association between acculturation and participation in sport among young Turkish and Moroccan women in the Netherlands. Prev Med 47: pp. 95-100 ew window">CrossRef
  28. Aaronson, NK, Muller, M, Cohen, PDA, Essink-Bot, ML, Fekkes, M, Sanderman, R (1998) Translation, validation, and norming of the Dutch language version of the SF-36 Health Survey in community and chronic disease populations. J Clin Epidemiol 51: pp. 1055-1068 ew window">CrossRef
  29. Hoopman, R, Terwee, CB, Devill茅, W, Knol, DL, Aaronson, NK (2009) Evaluation of the psychometric properties of the SF-36 health survey for use among Turkish and Moroccan ethnic minority populations in the Netherlands. Qual Life Res 18: pp. 753-764 ew window">CrossRef
  30. Mensink, M, Blaak, EE, Corpeleijn, E, Saris, WH, Bruin, TW, Feskens, EJ (2003) Lifestyle intervention according to general recommendations improves glucose tolerance. Obes Res 11: pp. 1588-1596 ew window">CrossRef
  31. Bevolking; leeftijd, herkomstgroepering, geslacht en regio, 1 januari [Population; age, origin, sex and region, 1 January. In Dutch] [http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=37713&D1=0&D2=0&D3=0,2,31,41&D4=135,269&D5=16&HDR=T,G3,G2&STB=G1,G4&VW=T]
  32. Definitions: someone with a Dutch background [http://www.cbs.nl/en-GB/menu/methoden/begrippen/default.htm?Languageswitch=on&ConceptID=88]
  33. Definitions: someone with a foreign background [http://www.cbs.nl/en-GB/menu/methoden/begrippen/default.htm?Languageswitch=on&ConceptID=37]
  34. Wendel-Vos, GC, Schuit, AJ, Saris, WHM, Kromhout, D (2003) Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol 56: pp. 1163-1169 ew window">CrossRef
  35. Chinapaw, MJM, Slootmaker, SM, Schuit, AJ, Zuidam, M, Mechelen, W (2009) Reliability and validity of the Activity Questionnaire for Adults and Adolescents (AQuAA). BMC Med Res Methodol 9: pp. 58 ew window">CrossRef
  36. Dekker, LH, Snijder, MB, Beukers, MH, Vries, JHM, Brants, HAM, Boer, EJ (2011) A prospective cohort study of dietary patterns of non-western migrants in the Netherlands in relation to risk factors for cardiovascular diseases: HELIUS-Dietary Patterns. BMC Public Health 11: pp. 441 ew window">CrossRef
  A pan-EU survey on consumer attitudes to physical activity, body weight and health. Office for Official Publications of the European Communities, Luxembourg
  37. Schulz, DN, Kremers, SPJ, Osch, LADM, Schneider, F, Adrichem, MJG, Vries, H (2011) Testing a Dutch web-based tailored lifestyle programme among adults: a study protocol. BMC Public Health 11: pp. 108 ew window">CrossRef
  38. The Transtheoretical Model [http://www.prochange.com/transtheoretical-model-of-behavior-change]
  39. Hooft van Huysduynen EJC, de Vet E, van Lee L, Geelen A, Feskens EJM, van 鈥檛 Veer P, et al: Chapter 4: Mediators of behavior change in a nutrition counselling intervention. In Towards Healthy Diets for Parents: Effectiveness of a Counselling Intervention. PhD thesis. Wageningen University, Division of Human Nutrition, Wageningen, The Netherlands; 2014:53鈥?8.
  40. Ware, JE, Sherbourne, CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30: pp. 473-483 ew window">CrossRef
  41. Dane, AV, Schneider, BH (1998) Program integrity in primary and early secondary prevention: are implementation effects out of control?. Clin Psychol Rev 18: pp. 23-45 ew window">CrossRef
  42. Glasgow, RE, Vogt, TM, Boles, SM (1999) Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health 89: pp. 1322-1327 ew window">CrossRef
  43. Steckler, AB, Linnan, L, Israel, BA (2002) Process Evaluation for Public Health Interventions and Research. Jossey-Bass, San Francisco
  44. Baranowski, T, Stables, G (2000) Process evaluations of the 5-a-day projects. Health Educ Behav 27: pp. 157-166 ew window">CrossRef
  45. Nutbeam, D (1998) Evaluating health promotion鈥攑rogress, problems and solutions. Health Promot Int 13: pp. 27-44 ew window">CrossRef
  46. Brooks, R (1996) EuroQol: the current state of play. Health Policy 37: pp. 53-72 ew window">CrossRef
  47. Rabin, R, Charro, F (2001) EQ-5D: a measure of health status from the EuroQol Group. Ann Med 33: pp. 337-343 ew window">CrossRef
  48. Tan, SS, Bouwmans, CAM, Rutten, FFH, Hakkaart-van Roijen, L (2012) Update of the Dutch manual for costing in economic evaluations. Int J Technol Assess Health Care 28: pp. 152-158 ew window">CrossRef
  49. Liu, JJ, Davidson, E, Bhopal, RS, White, M, Johnson, MRD, Netto, G (2012) Adapting health promotion interventions to meet the needs of ethnic minority groups: mixed-methods evidence synthesis. Health Technol Assess 16: pp. 1-469 ew window">CrossRef
  50. Groeneveld, IF, Proper, KI, Beek, AJ, Hildebrandt, VH, Mechelen, W (2009) Factors associated with non-participation and drop-out in a lifestyle intervention for workers with an elevated risk of cardiovascular disease. Int J Behav Nutr Phys Act 6: pp. 80 ew window">CrossRef
  51. Makrilakis, K, Liatis, S, Grammatikou, S, Perrea, D, Katsilambros, N (2010) Implementation and effectiveness of the first community lifestyle intervention programme to prevent type 2 diabetes in Greece. The DE-PLAN study. Diab Med 27: pp. 459-465 ew window">CrossRef
  52. Jansen, SC, Haveman-Nies, A, Duijzer, G, Beek, J, Hiddink, GJ, Feskens, EJM (2013) Adapting the SLIM diabetes prevention intervention to a Dutch real-life setting: joint decision making by science and practice. BMC Public Health 13: pp. 457 ew window">CrossRef
  
• 刊物主题：Public Health; Medicine/Public Health, general; Epidemiology; Environmental Health; Biostatistics; Vaccine;
• 出版者：BioMed Central
• ISSN：1471-2458

文摘

Background People with low socioeconomic status (SES) and some ethnic minorities are often underrepresented in lifestyle programmes. Therefore, a lifestyle programme was developed especially targeting these groups. Developing this lifestyle programme and designing an intervention study to test the effectiveness of this programme was an informative process in which several obstacles were encountered and choices had to be made. Study protocols, however, rarely describe these obstacles encountered in the protocol design process, and it is not always clear why researchers made certain choices. Therefore, the aim of this article is to describe both the final MetSLIM study protocol and the considerations and choices made in designing this study protocol. Methods/Design The developed MetSLIM study has a quasi-experimental design, targeting 30- to 70-year-old adults with an elevated waist circumference, living in deprived neighbourhoods, of Dutch, Turkish or Moroccan descent. The intervention group participates in a 12-month lifestyle programme consisting of individual dietary advice, four group sessions and weekly sports lessons. The control group receives written information about a healthy lifestyle and one group session provided by a dietician. The study contains an elaborate effect, process and economic evaluation. Outcome measures are, among other things, change in waist circumference and the other components of the metabolic syndrome. Discussion Matching the preferences of the target group, such as their preferred setting, has implications for the entire study protocol. The process evaluation of the MetSLIM study will provide insight into the consequences of the choices made in the MetSLIM study protocol in terms of reach, acceptability and delivery of the programme, and the effect and economic evaluation will provide insight into the (cost)effectiveness of the lifestyle programme in order to reduce waist circumference among individuals with low SES of different ethnic origins. Trial registration Netherlands Trial Register NTR3721 (since November 27, 2012).