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Multiple Health Behavior Changes and Co-variation in a Telephone Counseling Trial

  • Original Article
  • Published:
Annals of Behavioral Medicine

Abstract

Background

Delivering effective multiple health behavior interventions to large numbers of adults with chronic conditions via primary care settings is a public health priority.

Purpose

Within a 12-month, telephone-delivered diet and physical activity intervention with multiple behavioral outcomes, we examined the extent and co-variation of multiple health behavior change.

Methods

A cluster-randomized trial with 434 patients with type 2 diabetes or hypertension were recruited from 10 general practices, which were randomized to receive telephone counseling or usual care.

Results

Those receiving telephone counseling were significantly more likely than those in usual care to make greater reductions in multiple behaviors after adjusting for baseline risk behaviors (OR 2.42; 95%CI 1.43, 4.11). Controlling for baseline risk and group allocation, making changes to either physical activity, fat, vegetable, or fiber intake was associated with making significantly more improvements in other behaviors.

Conclusions

For patients with chronic conditions, telephone counseling can significantly improve multiple health behaviors, with behavioral changes tending to co-vary.

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References

  1. Chobanian AV, Bakris GL, Black HR, et al. The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: The JNC 7 report. JAMA. 2003;289:2560-2572.

    Article  CAS  PubMed  Google Scholar 

  2. Sigal RJ, Kenny GP, Wasserman DH, Castaneda-Sceppa C, White RD. Physical activity/exercise and type 2 diabetes: A consensus statement from the American Diabetes Association. Diab Care. 2006;29:1433-1438.

    Article  Google Scholar 

  3. Woodwell DA, Cherry DK. National ambulatory medical care survey: 2002 summary. Adv Data. 2002;2004:1-44.

    Google Scholar 

  4. Australian Institute of Health and Welfare. BEACH: General practice activity in Australia 2003-04. AIHW cat. no. GEP 16. Canberra: AIHW; 2004.

    Google Scholar 

  5. Goldstein MG, Whitlock EP, DePue J. Multiple behavioral risk factor interventions in primary care: Summary of research evidence. Am J Prev Med. 2004;27:61-79.

    Article  PubMed  Google Scholar 

  6. Eakin EG, Lawler SP, Vandelanotte C, Owen N. Telephone interventions for physical activity and dietary behavior change: A systematic review. Am J Prev Med. 2007;32:419-434.

    Article  PubMed  Google Scholar 

  7. Emmons KM, McBride CM, Puleo E, et al. Project PREVENT: A randomized trial to reduce multiple behavioral risk factors for colon cancer. Cancer Epidemiol Biomark Prev. 2005;14:1453-1459.

    Article  Google Scholar 

  8. Vale MJ, Jelinek MV, Best JD, et al. Coaching patients on achieving cardiovascular health (COACH): A multicentre randomized trial in patients with coronary heart disease. Arch Int Med. 2003;163:2775-2783.

    Article  Google Scholar 

  9. Kris-Etherton PM, Taylor DS, Smickilas-Wright H, et al. High-soluble-fiber foods in conjunction with a telephone-based, personalized behavior change support service result in favorable changes in lipids and lifestyles after 7 weeks. J Am Diet Assoc. 2002;102:503-510.

    Article  PubMed  Google Scholar 

  10. Hellerstedt WL, Jeffery RW. The effects of a telephone-based intervention on weight loss. Am J Health Promot. 1997;11:177-182.

    CAS  PubMed  Google Scholar 

  11. Franz MJ, VanWormer JJ, Crain AL, et al. Weight-loss outcomes: A systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. J Am Diet Assoc. 2007;107:1755-1767.

    Article  PubMed  Google Scholar 

  12. Ketola E, Sipila R, Makela M. Effectiveness of individual lifestyle interventions in reducing cardiovascular disease and risk factors. Ann Med. 2000;32:239-251.

    Article  CAS  PubMed  Google Scholar 

  13. Kroeze W, Werkman A, Brug J. A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Ann Behav Med. 2006;31:205-223.

    Article  PubMed  Google Scholar 

  14. Vandelanotte C, Spathonis KM, Eakin EG, Owen N. Website-delivered physical activity interventions: A systematic review. Am J Prev Med. 2007;33:54-64.

    Article  PubMed  Google Scholar 

  15. Prochaska JJ, Spring B, Nigg CR. Multiple health behaviour change research: An introduction and overview. Prev Med. 2008;46:181-188.

    Article  PubMed  Google Scholar 

  16. Prochaska JO. Multiple Health Behavior Research represents the future of preventive medicine. Prev Med. 2008;46:281-285.

    Article  PubMed  Google Scholar 

  17. Spring B, Pagoto S, Pingitore R, Doran N, Schneider K, Hedeker D. Randomized controlled trial for behavioral smoking and weight control treatment: Effect of concurrent versus sequential intervention. J Consult Clin Psychol. 2004;72:785-796.

    Article  PubMed  Google Scholar 

  18. Hyman DJ, Pavlik VN, Taylor WC, Goodrick GK, Moye L. Simultaneous vs sequential counseling for multiple behavior change. Arch Intern Med. 2007;167:1152-1158.

    Article  PubMed  Google Scholar 

  19. Vandelanotte C, Reeves MM, Brug J, De Bourdeaudhuij I. A randomized trial of sequential and simultaneous multiple behavior change interventions for physical activity and fat intake. Prev Med. 2008;46:232-237.

    Article  PubMed  Google Scholar 

  20. Fine LJ, Philogene S, Gramling R, Coups EJ, Sinha S. Prevalence of multiple chronic disease risk factors: 2001 National Health Interview Survey. Am J Prev Med. 2004;27:18-24.

    Article  PubMed  Google Scholar 

  21. Hausdorf K, Eakin E, Whiteman D, Rogers C, Aitken J, Newman B. Prevalence and correlates of multiple cancer risk behaviors in an Australian population-based survey: Results from the Queensland Cancer Risk Study. Cancer Causes Control. 2008;19:1339-1347.

    Article  PubMed  Google Scholar 

  22. Dutton GR, Napolitano MA, Whiteley JA, Marcus BH. Is physical activity a gateway behavior for diet? Findings from a physical activity trial. Prev Med. 2008;46:216-221.

    Article  PubMed  Google Scholar 

  23. Wilcox S, King A, Castro C, Bortz W. Do changes in physical activity lead to dietary changes in middle and old age? Am J Prev Med. 2000;18:276-283.

    Article  CAS  PubMed  Google Scholar 

  24. Gordon L, Graves N, Hawkes A, Eakin E. A review of the cost-effectiveness of face-to-face behavioural interventions for smoking, physical activity, diet and alcohol. Chron Illn. 2007;3:101-129.

    Article  CAS  Google Scholar 

  25. Eakin E, Reeves M, Lawler S, et al. Telephone counseling for physical activity & diet in primary care patients. Am J Prev Med. 2009;36:142-149.

    Article  PubMed  Google Scholar 

  26. Harper C, Cardona M, Bright M, et al. Health Determinants Queensland 2004 Public Health Services, Queensland Health. Brisbane 2004. Brisbane: Public Health Services, Queensland Health; 2004.

    Google Scholar 

  27. Eakin EG, Reeves MM, Lawler SP, et al. The Logan Healthy Living Program: A cluster randomized trial of a telephone-delivered physical activity and dietary behavior intervention for primary care patients with type 2 diabetes or hypertension from a socially disadvantaged community—rationale, design and recruitment. Contemp Clin Trials. 2008;29:439-454.

    Article  PubMed  Google Scholar 

  28. Bandura A. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs: Prentice-Hall; 1986.

    Google Scholar 

  29. Australian Institute of Health and Welfare. The active Australia survey: A guide and manual for implementation, analysis and reporting. Canberra: AIHW; 2003.

    Google Scholar 

  30. Australian Government Department of Health and Ageing, National Health and Medical Research Council. Food for health: Dietary guidelines for Australians, a guide to health eating. Canberra: Australian Government Department of Health and Ageing; 2005.

    Google Scholar 

  31. Timperio A, Salmon J, Crawford D. Validity and reliability of a physical activity recall instrument among overweight and non-overweight men and women. J Sci Med Sport. 2003;6:477-491.

    Article  CAS  PubMed  Google Scholar 

  32. Brown WJ, Trost SG, Bauman A, Mummery K, Owen N. Test–retest reliability of four physical activity measures used in population surveys. J Sci Med Sport. 2004;7:205-215.

    Article  CAS  PubMed  Google Scholar 

  33. Rutishauser IHE, Webb K, Abraham B, Allsopp R. Evaluation of short dietary questions from the 1995 National Nutrition Survey. Canberra: Australian Food and Nutrition Monitoring Unit; 2001.

    Google Scholar 

  34. Coyne T, Ibiebele TI, McNaughton S, et al. Evaluation of brief dietary questions to estimate vegetable and fruit consumption using serum carotenoids and red-cell folate. Public Health Nutr. 2007;8:298-308.

    Google Scholar 

  35. Hodge A, Patterson A, Brown W, Ireland P, Giles G. The Anti Cancer Council of Victoria FFQ: Relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Aust N Z J Public Health. 2000;24:576-583.

    Article  CAS  PubMed  Google Scholar 

  36. Australian Government Department of Health and Ageing, National Health and Medical Research Council, New Zealand Ministry of Health. Nutrient reference values for Australia and New Zealand: Executive summary. Canberra: National Health and Medical Research Council; 2006.

    Google Scholar 

  37. Prochaska JJ, Velicer WF, Nigg CR, Prochaska JO. Methods of quantifying change in multiple risk factor interventions. Prev Med. 2008;46:260-265.

    Article  PubMed  Google Scholar 

  38. Willett W. Correction for the effects of measurement error. In: Willett W, ed. Nutritional epidemiology, vol. 30. 2nd ed. New York: Oxford University Press; 1998:302-320.

    Google Scholar 

  39. Williams RL. A note on robust variance estimation for cluster-correlated data. Biometrics. 2000;56:645-646.

    Article  CAS  PubMed  Google Scholar 

  40. Graves N, Barnett AG, Halton KA, et al. Cost-effectiveness of a telephone-delivered intervention for physical activity and diet. PloS one. 2009;4:e7135.

    Article  PubMed  Google Scholar 

  41. Shiroiwa T, Sung YK, Fukuda T, Lang HC, Bae SC, Tsutani K. International survey on willingness-to-pay (WTP) for one additional QALY gained: What is the threshold of cost effectiveness? Health Econ. 2010;19:422-437.

    Article  PubMed  Google Scholar 

  42. Johnson SS, Paiva AL, Cummins CO, et al. Transtheoretical model-based multiple behavior intervention for weight management: Effectiveness on a population basis. Prev Med. 2008;46:238-246.

    Article  PubMed  Google Scholar 

  43. Nigg CR, Allegrante JP, Ory M. Theory-comparison and multiple-behavior research: Common themes advancing health behavior research. Health Educ Res. 2002;17:670-679.

    Article  PubMed  Google Scholar 

  44. Sallis JF, Saelens BE. Assessment of physical activity by self-report: Status, limitations, and future directions. Res Q Exerc Sport. 2000;71:s1-14.

    CAS  PubMed  Google Scholar 

  45. Heitmann BL, Lissner L. Can adverse effects of dietary fat intake be overestimated as a consequence of dietary fat underreporting? Public Health Nutr. 2005;8:1322-1327.

    Article  PubMed  Google Scholar 

  46. Eakin EG, Glasgow RE, Riley KM. Review of primary care-based physical activity intervention studies: Effectiveness and implications for practice and future research. J Fam Pract. 2000;49:158-168.

    CAS  PubMed  Google Scholar 

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Acknowledgments

Dr. Sheleigh Lawler had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. This study was funded by a National Health and Medical Research Council (NHMRC) project grant no. 290519, a Queensland Health Core Research Infrastructure Grant and NHMRC Program Grant funding (no.301200). M.M. Reeves is funded by a NHMRC Fellowship (no. 389500). E. Eakin is funded by a NHMRC Senior Research Fellowship (no. 511001). The funding body had no role in the design and conduct of the study, data extraction or analyses, in the writing of the manuscript, or the review and approval of the manuscript for publication. We thank the participating Logan Area general practices and their patients, as well as staff of the General Practice Logan Area Network, for their support of the study and acknowledge the dedicated work of our telephone counselors, Lisa Ulyate and Fiona Porter, and our primary telephone interviewer, Natalie Doyle, as well as the entire project team.

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Correspondence to Elizabeth G. Eakin PhD.

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Lawler, S.P., Winkler, E., Reeves, M.M. et al. Multiple Health Behavior Changes and Co-variation in a Telephone Counseling Trial. ann. behav. med. 39, 250–257 (2010). https://doi.org/10.1007/s12160-010-9188-2

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  • DOI: https://doi.org/10.1007/s12160-010-9188-2

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