Effects of a home-based intervention on diet and physical activity behaviours for rural adults with or at risk of metabolic syndrome: A randomised controlled trial

International Journal of Behavioral Nutrition and Physical Activity

Volumn 13, Issue 1, 2016, Pages

  Blackford, Krysten ^a   Jancey, Jonine ^a   Lee, Andy H ^a   James, Anthony ^a   Howat, Peter ^a   Waddell, Tracy ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

Disadvantage; Fat avoidance; Fibre intake; Fruit and vegetable intake; IPAQ SF; Metabolic syndrome; Obesity; Sitting; Strength exercise; Walking

Indexed keywords

ADULT; AGED; ARTICLE; AUSTRALIA; CLINICAL EFFECTIVENESS; COMMUNITY LIVING; CONTROLLED STUDY; DIET THERAPY; FAT ADN FIBRE BAROMETER; FAT INTAKE; FEMALE; HIGH FIBER DIET; HOME CARE; HUMAN; INTERNATIONAL PHYSICAL ACTIVITY QUESTIONNAIRE; LIFESTYLE MODIFICATION; MALE; METABOLIC EQUIVALENT; METABOLIC SYNDROME X; MOTIVATIONAL INTERVIEWING; PHYSICAL ACTIVITY; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL; RISK FACTOR; RURAL POPULATION; SELF REPORT; VEGETABLE; ADMINISTRATION AND DOSAGE; DIET; DIETARY FIBER; EXERCISE; FEEDING BEHAVIOR; HEALTH BEHAVIOR; LIFESTYLE; MIDDLE AGED; MOTOR ACTIVITY; PROGRAM EVALUATION;

FAT INTAKE;

AGED; AUSTRALIA; DIET; DIETARY FATS; DIETARY FIBER; EXERCISE; FEEDING BEHAVIOR; FEMALE; HEALTH BEHAVIOR; HUMANS; LIFE STYLE; MALE; METABOLIC EQUIVALENT; METABOLIC SYNDROME X; MIDDLE AGED; MOTIVATIONAL INTERVIEWING; MOTOR ACTIVITY; PHYSICAL EXERTION; PROGRAM EVALUATION; RURAL POPULATION; SURVEYS AND QUESTIONNAIRES; VEGETABLES;

EID: 84957965050     PISSN: None     EISSN: 14795868     Source Type: Journal    
DOI: 10.1186/s12966-016-0337-2     Document Type: Article

References (47)

1. Blaha M, Bansal S, Rouf R, Golden S, Blumenthal R, DeFilippis A. A practical "ABCDE" approach to the metabolic syndrome. Mayo Clin Proc. 2008;83(8):932-43. doi: 10.4065/83.8.932.
2. Salas-Salvado J, Fernandez-Ballart J, Ros E, Martinez-Gonzalez M, Fito M, Estruch R, et al. Effect of a meditteranean diet supplemented with nuts on metabolic syndrome: One year results of the PREDIMED randomized trial. Arch Intern Med. 2008;168(22):2449-58. doi: 10.1001/archinte.168.22.2449.
3. Dunkley A, Charles K, Gray L, Camosso-Stefanovic J, Davies M, Khunti K. Effectiveness of interventions for reducing diabetes and cardiovascular disease risk in people with metabolic syndrome: systematic review and mixed treatment comparison meta-analysis diabetes. Obes Metab. 2012;14:616-25. doi: 10.1111/j.1463-1326.2012.01571.x.
4. Korczak D, Dietl M, Steinhauser G. Effectiveness of programmes as part of primary prevention demonstrated on the example of cardiovascular diseases and the metabolic syndrome. GMS Health Technol Assess. 2011. doi: 10.3205/hta000093.
5. Australian Institute of Health and Welfare. Australia's Health 2014. vol Cat. no. AUS 178. Canberra: Australian Institute of Health and Welfare; 2014.
6. Ding DD, Do A, Schmidt HM, Bauman A. A widening gap? Changes in multiple lifestyle risk behaviours by socioeconomic status in New South Wales, Australia, 2002-2012. PLoS One. 2015. doi: 10.1371/journal.pone.0135338.
7. Williams ED, Magliano DJ, Zimmet PZ, Kavanagh AM, Stevenson CE, Oldenburg BF, et al. Area-level socioeconomic status and incidence of abnormal glucose metabolism: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Diabetes Care. 2012;35(7):1455-61. doi: 10.2337/dc11-1410.
8. Ball K, Lamb KE, Costa C, Cutumisu N, Ellaway A, Kamphuis CBM, et al. Neighbourhood socioeconomic disadvantage and fruit and vegetable consumption: a seven countries comparison. Int J Behav Nutr Phys Act. 2015;12:68. doi: 10.1186/s12966-015-0229-x.
9. Janus E, Laatikainen T, Dunbar J, Kilkkinen A, Bunker S, Philpot B, et al. Overweight, obesity and metabolic syndrome in rural southeastern Australia. Med J Aust. 2007;187(3):147-52.
10. Norris S, Kansagara D, Bougatsos C, Fu R. Screening adults for type 2 diabetes: A review of the evidence for the US Preventive Services Task Forces. Ann Intern Med. 2008;148:855-68.
11. Wilson P, D'Agostino R, Parise H, Sullivan L, Meigs J. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation. 2005;112:3066-72. doi: 10.1161/CIRCULATIONAHA.105.539528.
12. Gardiner P, Healy G, Eakin E, Clark B, Dunstan D, Shaw J, et al. Associations between television viewing time and overall sitting time with the metabolic syndrome in older men and women: the Australian Diabetes, Obesity and Lifestyle study. J Am Geriatr Soc. 2011;59(5):788-96. doi: 10.1111/j.1532-5415.2011.03390.x.
13. Carter P, Gray L, Troughton J, Khunti K, Davies M. Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BMJ. 2010;341:1-8. doi: 10.1136/bmj.c4229.
14. Wirstrom T, Hilding A, Gu H, Ostenson C, Bjorklund A. Consumption of whole grain reduces risk of deteriorating glucose tolerance, including progression to prediabetes. Am J Clin Nutr. 2012;97(1):179-87. doi: 10.3945/ajcn.112.045583.
15. Brauer PP, Gorber SCP, Shaw EMD, Singh HMD, Bell NMD, Shane AREM, et al. Recommendations for prevention of weight gain and use of behavioural and pharmacologic interventions to manage overweight and obesity in adults in primary care. Can Med Assoc J. 2015;187(3):184-95. doi: 10.1503/cmaj.140887.
16. Hartmann-Boyce J, Jebb SA, Fletcher BR, Aveyard P. Self-help for weight loss in overweight and obese adults: systematic review and meta-analysis. Am J Public Health. 2015;105(3):E43-57. doi: 10.2105/AJPH.2014.302389.
17. McNaughton S, Crawford D, Ball K, Salmon J. Understanding determinants of nutrition, physical activity and quality of life among older adults: the Wellbeing, Eating and Exercise for a Long Life (WELL) study. Health Qual Life Outcomes. 2012. doi: 10.1186/1477-7525-10-109.
18. Australian Bureau of Statistics. Census QuickStats. Canberra: Australian Bureau of Statistics; 2013. http://www.censusdata.abs.gov.au/census_services/getproduct/census/2011/quickstat/5001?opendocument&navpos=220.
19. Australian Bureau of Statistics. Australian Health Survey: Updated Results, 2011-2012. Canberra: Australian Bureau of Statistics; 2013. http://www.abs.gov.au/ausstats/abs@.nsf/mf/4364.0.55.003.
20. Branch E. Adult population profile, health and wellbeing surveillance system, 2010: health regions. Perth: Department of Health WA; 2011.
21. Blackford K, Jancey J, Lee A, James AP, Howat P, Hills AP, et al. A randomised controlled trial of a physical activity and nutrition program targeting middle-aged adults at risk of metabolic syndrome in a disadvantaged rural community. BMC Public Health. 2015. doi: 10.1186/s12889-015-1613-9.
22. Han T, Lean M. Metabolic syndrome. Medicine. 2006;34(12):536-42. doi: 10.1016/j.mpmed.2010.10.010.
23. Zimmet P, Alberti G, Shaw J. A new IDF worldwide definition of the metabolic syndrome: the rationale and the results. Diabetes Voice. 2005;50(3):31-3.
24. Chen L, Magliano D, Balkau B, Colagiuri S, Zimmet P, Tonkin A, et al. AUSDRISK: an Australian Type 2 diabetes risk assessment tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust. 2010;192(4):197-202.
25. Jancey J, Lee A, Howat P, Clarke A, Wang K, Shilton T. The effectiveness of a physical activity intervention for seniors. Am J Health Promot. 2008;22(5):318-21. doi: 10.4278/ajhp.22.5.318.
26. Burke L, Lee A, Jancey J, Xiang L, Kerr D, Howat P, et al. Physical activity and nutrition behavioural outcomes of a home-based intervention program for seniors: A randomized controlled trial. Int J Behav Nutr Phys Act. 2013. doi: 10.1186/1479-5868-10-14.
27. Kerr D, Pollard C, Howat P, Delp E, Pickering M, Kerr K, et al. Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults. BMC Public Health. 2012;12(477):1-10. doi: 10.1186/1471-2458-12-477.
28. Patrick H, Williams G. Self-determination theory: its application to health behavior and complementarity with motivational interviewing. Int J Behav Nutr Phys Act. 2012;9(18):1-12. doi: 10.1186/1479-5868-9-18.
29. Ng J, Ntoumanis N, Thogersen-Ntoumani C, Deci E, Ryan R, Duda J, et al. Self-determination theory applied to health contexts: a meta-analysis. Perspect Psychol Sci. 2012;27:289. doi: 10.1177/1745691612447309.
30. Skinner T, Cradock S, Arundel F, Graham W. Four theories and a new philosophy: Self-management education for individuals newly diagnosed with type 2 diabetes. Diabetes Spectr. 2003;16(2):75-80. doi: 10.2337/diaspect.16.2.75.
31. Department of Health. Australia's physical activity and sedentary behaviour guidelines. Canberra: Australian Government; 2014. http://www.health.gov.au/internet/main/publishing.nsf/content/health-pubhlth-strateg-phys-act-guidelines.
32. National Health and Medical Research Council. Australian dietary guidelines. Canberra: National Health and Medical Research Council; 2013. Contract No.: 1864965789.
33. Resnicow K, McMaster F. Motivational Interviewing: moving from why to how with autonomy support. Int J Behav Nutr Phys Act. 2012;9(19):1-9. doi: 10.1186/1479-5868-9-19.
34. Wright J, Scott J. The Fat and fibre barometer, a short food behaviour questionnaire: reliability, relative validity and utility. AJND. 2000;57(1):33-9.
35. Craig C, Marshall A, Sjostrom M, Bauman A, Booth M, Ainsworth B, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB.
36. Haby M, Marwick A, Peeters A, Shaw J, Vos T. Future predictions of body mass index and overweight prevalence in Australia, 2005-2025. Health Promot Int. 2011. doi: 10.1093/heapro/dar036.
37. Laws RA, St George AB, Rychetnik L, Bauman AE. Diabetes prevention research: a systematic review of external validity in lifestyle interventions. Am J Prev Med. 2012;43(2):205-14. doi: 10.1016/j.amepre.2012.04.017.
38. Baillot A, Romain AJ, Boisvert-Vigneault K, Audet M, Baillargeon JP, Dionne IJ, et al. Effects of lifestyle interventions that include a physical activity component in Class II and III obese individuals: A systematic review and meta-analysis. PLoS One. 2015. doi: 10.1371/journal.pone.0119017.
39. Jancey J, Lee A, Howat P, Clarke A, Wang K, Shilton T. Reducing attrition in physical activity programs for older adults. J Aging Health. 2008;15(2):152-65.
40. Burke L, Lee A, Pasalich M, Jancey J, Kerr D, Howat P. Effects of a physical activity and nutrition program for seniors on body mass index and waist-to-hip ratio: A randomised controlled trial. Prev Med. 2012;54:397-401. doi: 10.1016/j.ypmed.2012.03.015.
41. Bassi N, Karagodin I, Wang S, Vassallo P, Priyanath A, Massaro E, et al. Lifestyle modification for metabolic syndrome: a systematic review. Am J Med. 2014;127(12):1242. doi: 10.1016/j.amjmed.2014.06.035. e1-e10.
42. O'Hara BJ, Phongsavan P, Venugopal K, Bauman AE. Characteristics of participants in Australia's Get Healthy telephone-based lifestyle information and coaching service: reaching disadvantaged communities and those most at need. Health Educ Res. 2011;26(6):1097-106. doi: 10.1093/her/cyr091.
43. Kaur J. A comprehensive review on metabolic syndrome. Cardiol Res Pract. 2014. doi: 10.1155/2014/943162.
44. Pollard C, Miller M, Woodman R, Meng R, Binns C. Changes in knowledge, beliefs, and behaviors related to fruit and vegetable consumption among Western Australian adults from 1995 to 2004. Am J Public Health. 2009;99(2):355-61. doi: 10.2105/AJPH.2007.131367.
45. Hamer M, Stamatakis E. Screen-based sedentary behavior, physical activity, and muscle strength in the english longitudinal study of ageing. PLoS One. 2013;8(6), e66222. doi: 10.1371/journal.pone.0066222.
46. Minges K, Magliano D, Owen N, Daly R, Salmon J, Shaw J, et al. Associations of strength training with impaired glucose metabolism: The AusDiab Study. Med Sci Sports Exerc. 2012;45(2):299-303. doi: 10.1249/MSS.0b013e31826e6cd1.
47. Burke L, Howat P, Jancey J, Lee A, Kerr D, Shilton T. Development of a nutrition and physical activity booklet to engage seniors. BMC Res Notes. 2008;1(77):1-7. doi: 10.1186/1756-0500-1-77.