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Adherence

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Abstract

This chapter reviews the multicomponents of adherence to diet, physical activity, and medication taking from the broader perspective of the social-ecological model (SEM) framework. The discussion focuses on the individual, the social and contextual factors that influence the individual’s adherence within the greater community, and the resources that can improve or support adherence. This chapter:

  1. 1.

    Introduces key concepts related to adherence

  2. 2.

    Reviews subjective and objective measures of adherence

  3. 3.

    Reviews determinants of adherence, including intrapersonal, interpersonal, community and environment, and organizational factors

  4. 4.

    Provides reasons for using the SEM framework for guiding adherence enhancement

  5. 5.

    Reviews evidence-based adherence-enhancing strategies (e.g., self-monitoring, goal setting, self-efficacy enhancement, motivational interviewing, and mobile health approaches)

  6. 6.

    Highlights future directions for enhancement of long-term adherence, particularly application of the Patient-Centered Medical Home, the Chronic Care Model, and delivery of multicomponent interventions to improve long-term adherence

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References

  • Acharya, S. D., Elci, O. U., Sereika, S. M., Music, E., Styn, M. A., Turk, M. W., & Burke, L. E. (2009). Adherence to a behavioral weight loss treatment program enhances weight loss and improvements in biomarkers. Patient Prefer Adherence, 3, 151–160.

    PubMed  PubMed Central  Google Scholar 

  • Addison, J. T. (1992). Urie Bronfenbrenner. Human Ecology, 20(2), 16–20.

    Google Scholar 

  • Aggarwal, B., Liao, M., & Mosca, L. (2010). Predictors of physical activity at 1 year in a randomized controlled trial of family members of patients with cardiovascular disease. The Journal of Cardiovascular Nursing, 25(6), 444–449. doi:https://doi.org/10.1097/JCN.0b013e3181defd3e.

    Article  PubMed  PubMed Central  Google Scholar 

  • Aizawa, K., Maeda, K., Ogawa, M., Sato, Y., Kasamatsu, M., Waki, K., & Takimoto, H. (2014). Comparative study of the routine daily usability of FoodLog: A smartphone-based food recording tool assisted by image retrieval. Journal of Diabetes Science and Technology, 8(2), 203–208. doi:https://doi.org/10.1177/1932296814522745.

    Article  PubMed  PubMed Central  Google Scholar 

  • Akl, E. A., Briel, M., You, J. J., Sun, X., Johnston, B. C., Busse, J. W., et al. (2012). Potential impact on estimated treatment effects of information lost to follow-up in randomised controlled trials (LOST-IT): Systematic review. British Medical Journal, 344, e2809. doi:https://doi.org/10.1136/bmj.e2809.

    Article  PubMed  Google Scholar 

  • Allen, N. A., Fain, J. A., Braun, B., & Chipkin, S. R. (2008). Continuous glucose monitoring counseling improves physical activity behaviors of individuals with type 2 diabetes: A randomized clinical trial. Diabetes Research and Clinical Practice, 80(3), 371–379. doi:https://doi.org/10.1016/j.diabres.2008.01.006.

    Article  PubMed  PubMed Central  Google Scholar 

  • Allen, N., Whittemore, R., & Melkus, G. (2011). A continuous glucose monitoring and problem-solving intervention to change physical activity behavior in women with type 2 diabetes: A pilot study. Diabetes Technology & Therapeutics, 13(11), 1091–1099. doi:https://doi.org/10.1089/dia.2011.0088.

    Article  Google Scholar 

  • Almeida, G. J., Wasko, M. C., Jeong, K., Moore, C. G., & Piva, S. R. (2011). Physical activity measured by the SenseWear Armband in women with rheumatoid arthritis. Physical Therapy, 91(9), 1367–1376. doi:https://doi.org/10.2522/ptj.20100291.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ambeba, E. J., Ye, L., Sereika, S. M., Styn, M. A., Acharya, S. D., Sevick, M. A., et al. (2015). The use of mHealth to deliver tailored messages reduces reported energy and fat intake. The Journal of Cardiovascular Nursing, 30(1), 35–43. doi:https://doi.org/10.1097/jcn.0000000000000120.

    Article  PubMed  PubMed Central  Google Scholar 

  • American Heart Association. (2013). My heart. My life. Celebrating our sponsors and supporters. Retrieved March 26, 2013, from http://www.startwalkingnow.org/partner.jsp

  • Amiel, J. M., & Pincus, H. A. (2011). The medical home model: New opportunities for psychiatric services in the United States. Current Opinion in Psychiatry, 24(6), 562–568. doi:https://doi.org/10.1097/YCO.0b013e32834baa97.

    Article  PubMed  Google Scholar 

  • Anton, S. D., LeBlanc, E., Allen, H. R., Karabetian, C., Sacks, F., Bray, G., & Williamson, D. A. (2012). Use of a computerized tracking system to monitor and provide feedback on dietary goals for calorie-restricted diets: The POUNDS LOST study. Journal of Diabetes Science and Technology, 6(5), 1216–1225.

    Article  PubMed  PubMed Central  Google Scholar 

  • Artinian, N. T., Fletcher, G. F., Mozaffarian, D., Kris-Etherton, P., Van Horn, L., Lichtenstein, A. H., et al. (2010). Interventions to promote physical activity and dietary lifestyle changes for cardiovascular risk factor reduction in adults: A scientific statement from the American Heart Association. Circulation, 122(4), 406–441. doi:https://doi.org/10.1161/CIR.0b013e3181e8edf1.

    Article  PubMed  Google Scholar 

  • Atienza, A. A., King, A. C., Oliveira, B. M., Ahn, D. K., & Gardner, C. D. (2008). Using hand-held computer technologies to improve dietary intake. American Journal of Preventive Medicine, 34(6), 514–518. doi:https://doi.org/10.1016/j.amepre.2008.01.034. S0749-3797(08)00248-1 [pii].

    Article  PubMed  Google Scholar 

  • Azar, K. M., Lesser, L. I., Laing, B. Y., Stephens, J., Aurora, M. S., Burke, L. E., & Palaniappan, L. P. (2013). Mobile applications for weight management: Theory-based content analysis. American Journal of Preventive Medicine, 45(5), 583–589. doi:https://doi.org/10.1016/j.amepre.2013.07.005.

    Article  PubMed  Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company.

    Google Scholar 

  • Bandura, A. (1998). Health promotion from the perspective of social cognitive theory. Psychology & Health, 13(4), 623–649. doi:https://doi.org/10.1080/08870449808407422.

    Article  Google Scholar 

  • Banks, L., Manlhiot, C., Dobbin, S. W., Gibson, D., Stearne, K., Davies-Shaw, J., et al. (2012). Physical activity interacts with adiposity in determining cardiometabolic risk in adolescents. Pediatric Exercise Science, 24(4), 537–548.

    Article  PubMed  Google Scholar 

  • Banks-Wallace, J. (2000). Womanist ways of knowing: Theoretical considerations for research with African American women. ANS. Advances in Nursing Science, 22(3), 33–45.

    Article  PubMed  Google Scholar 

  • Batal, H. A., Krantz, M. J., Dale, R. A., Mehler, P. S., & Steiner, J. F. (2007). Impact of prescription size on statin adherence and cholesterol levels. Biomed Central Health Services Research, 7(175).

    Google Scholar 

  • Benner, J. S., Glynn, R. J., Mogun, H., Neumann, P. J., Weinstein, M. C., & Avorn, J. (2002). Long-term persistence in use of statin therapy in elderly patients. JAMA, 288(4), 455–461.

    Article  PubMed  Google Scholar 

  • Blackburn, G. L. (2012). Weight of the nation: Moving forward, reversing the trend using medical care. American Journal of Clinical Nutrition, 96(5), 949–950.

    Article  PubMed  Google Scholar 

  • Blanton, C. A., Moshfegh, A. J., Baer, D. J., & Kretsch, M. J. (2006). The USDA automated multiple-pass method accurately estimates group total energy and nutrient intake. Journal of Nutrition, 136(10), 2594–2599.

    Article  PubMed  Google Scholar 

  • Bodenheimer, T., & Handley, M. A. (2009). Goal-setting for behavior change in primary care: An exploration and status report. Patient Education and Counseling, 76(2), 174–180. doi:https://doi.org/10.1016/j.pec.2009.06.001.

    Article  PubMed  Google Scholar 

  • Bodenheimer, T., & Laing, B. Y. (2007). The Teamlet model of primary care. Annals of Family Medicine, 5(5), 457–461.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bodenheimer, T., Lorig, K., Holman, H., & Grumbach, K. (2002). Patient self-management of chronic disease in primary care. Journal of the American Medical Association, 288(19), 2469–2475. doi:10.1001/JournaloftheAmericanMedicalAssociation.288.19.2469.

    Google Scholar 

  • Boeing, H. (2013). Nutritional epidemiology: New perspectives for understanding the diet-disease relationship? European Journal of Clinical Nutrition. doi:https://doi.org/10.1038/ejcn.2013.47.

    Article  PubMed  Google Scholar 

  • Bojadzievski, T., & Gabbay, R. A. (2011). Patient-centered medical home and diabetes. Diabetes Care, 34(4), 1047–1053. doi:https://doi.org/10.2337/dc10-1671.

    Article  PubMed  PubMed Central  Google Scholar 

  • Boone-Heinonen, J., Popkin, B. M., Song, Y., & Gordon-Larsen, P. (2010). What neighborhood area captures built environment features related to adolescent physical activity? Health & Place, 16(6), 1280–1286. doi:https://doi.org/10.1016/j.healthplace.2010.06.015.

    Article  Google Scholar 

  • Boone-Heinonen, J., Gordon-Larsen, P., Guilkey, D. K., Jacobs Jr., D. R., & Popkin, B. M. (2011). Environment and physical activity dynamics: The role of residential self-selection. Psychology of Sport and Exercise, 12(1), 54–60. doi:https://doi.org/10.1016/j.psychsport.2009.09.003.

    Article  PubMed  PubMed Central  Google Scholar 

  • Boone-Heinonen, J., Gordon-Larsen, P., Kiefe, C. I., Shikany, J. M., Lewis, C. E., & Popkin, B. M. (2011). Fast food restaurants and food stores: Longitudinal associations with diet in young to middle-aged adults: The CARDIA study. Archives of Internal Medicine, 171(13), 1162–1170. doi: https://doi.org/10.1001/archinternmed.2011.283.

    Article  PubMed  PubMed Central  Google Scholar 

  • Breton, E. R., Fuemmeler, B. F., & Abroms, L. C. (2011). Weight loss—There is an app for that! But does it adhere to evidence-informed practices? Translational Behavioral Medicine, 1, 523–529. doi:https://doi.org/10.1007/s13142-011-0076-5.

    Article  PubMed  PubMed Central  Google Scholar 

  • Broekhuizen, K., van Poppel, M. N., Koppes, L. L., Kindt, I., Brug, J., & van Mechelen, W. (2012). Can multiple lifestyle behaviours be improved in people with familial hypercholesterolemia? Results of a parallel randomised controlled trial. PloS One, 7(12), e50032. doi:50010.51371/journal.pone.0050032. Epub 0052012 Dec 0050012.

    Google Scholar 

  • Budd, G. M., Mariotti, M., Graff, D., & Falkenstein, K. (2011). Health care professionals' attitudes about obesity: An integrative review. Applied Nursing Research, 24, 127–137.

    Article  PubMed  Google Scholar 

  • Burke, L., Dunbar-Jacob, J., & Hill, M. (1997). Compliance with cardiovascular disease prevention strategies: A review of the research. Annals of Behavioral Medicine, 9(3), 239–263.

    Article  Google Scholar 

  • Burke, L. E., Dunbar-Jacob, J., Orchard, T. J., & Sereika, S. M. (2005). Improving adherence to a cholesterol-lowering diet: A behavioral intervention study. Patient Education and Counseling, 57(1), 134–142. doi:https://doi.org/10.1016/j.pec.2004.05.007.

    Article  PubMed  Google Scholar 

  • Burke, L. E., Choo, J., Music, E., Warziski, M., Styn, M. A., Kim, Y., & Sevick, M. A. (2006). PREFER study: A randomized clinical trial testing treatment preference and two dietary options in behavioral weight management–rationale, design and baseline characteristics. Contemporary Clinical Trials, 27(1), 34–48. doi:https://doi.org/10.1016/j.cct.2005.08.002.

    Article  PubMed  Google Scholar 

  • Burke, L. E., Hudson, A. G., Warziski, M. T., Styn, M. A., Music, E., Elci, O. U., & Sereika, S. M. (2007). Effects of a vegetarian diet and treatment preference on biochemical and dietary variables in overweight and obese adults: A randomized clinical trial. American Journal of Clinical Nutrition, 86(3), 588–596.

    Article  PubMed  Google Scholar 

  • Burke, L. E., Styn, M. A., Glanz, K., Ewing, L. J., Elci, O. U., Conroy, M. B., et al. (2009). SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemporary Clinical Trials, 30(6), 540–551. doi: https://doi.org/10.1016/j.cct.2009.07.003.

    Article  PubMed  PubMed Central  Google Scholar 

  • Burke, L. E., Tuite, P., & Turk, M. W. (2009). Obesity. In S. Woods, E. S. Froelicher, S. Underhill Motzer, & E. J. Bridges (Eds.), Cardiac nursing (6th ed., pp. 861–875). Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins.

    Google Scholar 

  • Burke, L. E., Ewing, L. J., Conroy, M. B., Sevick, M. A., Glanz, K., Styn, M., Sereika, S. M., et al. (2011). The effect of electronic self-monitoring on weight loss and adherence to self-monitoring: 24-month results from the SMART trial. AHA EPI/NPAM 2011 Scientific Sessions, March 22–25, 2011. Atlanta, GA, 137.

    Google Scholar 

  • Burke, L. E., Wang, J., & Sevick, M. A. (2011). Self-monitoring in weight loss: A systematic review of the literature. Journal of the American Dietetic Association, 111(1), 92–102. doi:https://doi.org/10.1016/j.jada.2010.10.008.

    Article  PubMed  PubMed Central  Google Scholar 

  • Burke, L. E., Styn, M. A., Sereika, S. M., Conroy, M. B., Ye, L., Glanz, K., et al. (2012). Using mHealth technology to enhance self-monitoring for weight loss: A randomized trial. American Journal of Preventive Medicine, 43(1), 20–26. doi:https://doi.org/10.1016/j.amepre.2012.03.016.

    Article  PubMed  PubMed Central  Google Scholar 

  • Butryn, M. L., Webb, V., & Wadden, T. A. (2011). Behavioral treatment of obesity. The Psychiatric Clinics of North America, 34(4), 841–859. doi:https://doi.org/10.1016/j.psc.2011.08.006.

    Article  PubMed  PubMed Central  Google Scholar 

  • Caetano, P. A., Lam, J. M., & Morgan, S. G. (2006). Toward a standard definition and measurement of persistence with drug therapy: Examples from research on statin and antihypertensive utilization. Clinical Therapeutics, 28(9), 1411–1424.; discussion 1410. doi:https://doi.org/10.1016/j.clinthera.2006.09.021.

    Article  PubMed  Google Scholar 

  • Calvert, S. B., Kramer, J. M., Anstrom, K. J., Kaltenbach, L. A., Stafford, J. A., & Allen LaPointe, N. M. (2012). Patient-focused intervention to improve long-term adherence to evidence-based medications: A randomized trial. American Heart Journal, 163(4), 657–665. e651. doi:https://doi.org/10.1016/j.ahj.2012.01.019.

    Article  PubMed  Google Scholar 

  • Chapman-Novakofski, K., & Karduck, J. (2005). Improvement in knowledge, social cognitive theory variables, and movement through stages of change after a community-based diabetes education program. Journal of the American Dietetic Association, 105(10), 1613–1616. doi:https://doi.org/10.1016/j.jada.2005.07.010.

    Article  PubMed  Google Scholar 

  • Charlton, K. E., Steyn, K., Levitt, N. S., Zulu, J. V., Jonathan, D., Veldman, F. J., & Nel, J. H. (2005). Ethnic differences in intake and excretion of sodium, potassium, calcium and magnesium in south Africans. European Journal of Cardiovascular Prevention and Rehabilitation, 12(4).

    Article  Google Scholar 

  • Chen, E. H., Thom, D. H., Hessler, D. M., Phengrasamy, L., Hammer, H., Saba, G., & Bodenheimer, T. (2010). Using the Teamlet Model to improve chronic care in an academic primary care practice. Journal of General Internal Medicine, 25(Suppl 4), S610–S614. doi:https://doi.org/10.1007/s11606-010-1390-1.

    Article  PubMed  Google Scholar 

  • Chen, H. C., Jia, W., Yue, Y., Li, Z., Sun, Y. N., Fernstrom, J. D., & Sun, M. (2013). Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration. Measurement Science and Technology, 24(10). doi: https://doi.org/10.1088/0957-0233/24/10/105701

    Article  Google Scholar 

  • Chen, H. C., Jia, W., Sun, X., Li, Z., Li, Y., Fernstrom, J. D., et al. (2015). Saliency-aware food image segmentation for personal dietary assessment using a wearable computer. Meas Sci Technol, 26(2). doi:https://doi.org/10.1088/0957-0233/26/2/025702.

    Article  PubMed  Google Scholar 

  • Chisholm, M. A., Vollenweider, L. J., Mulloy, L. L., Jagadeesan, M., Wynn, J. J., Rogers, H. E., et al. (2000). Renal transplant patient compliance with free immunosuppressive medications. Transplantation, 70(8), 1240–1244.

    Article  PubMed  Google Scholar 

  • Chisholm, V., Atkinson, L., Donaldson, C., Noyes, K., Payne, A., & Kelnar, C. (2011). Maternal communication style, problem-solving and dietary adherence in young children with type 1 diabetes. Clinical Child Psychology and Psychiatry, 16(3), 443–458. doi:https://doi.org/10.1177/1359104510373312.

    Article  PubMed  Google Scholar 

  • Chowdhury, F. M., Kulcsar, M., Gilchrist, S., & Hawkins, N. A. (2012). News from the CDC: Integrating behavioral health into the patient-centered medical home. Translational Behavioral Medicine, 2(3), 257–259.

    Article  PubMed  PubMed Central  Google Scholar 

  • Cleland, V., Ball, K., Hume, C., Timperio, A., King, A. C., & Crawford, D. (2010). Individual, social and environmental correlates of physical activity among women living in socioeconomically disadvantaged neighbourhoods. Social Science & Medicine, 70(12), 2011–2018. doi:https://doi.org/10.1016/j.socscimed.2010.02.028.

    Article  Google Scholar 

  • Coleman, K., Austin, B. T., Brach, C., & Wagner, E. H. (2009). Evidence on the chronic care model in the new millennium. Health Affairs (Millwood), 28(1), 75–85. doi:https://doi.org/10.1377/hlthaff.28.1.75.

    Article  Google Scholar 

  • Colley, R. C., Hills, A. P., O'Moore-Sullivan, T. M., Hickman, I. J., Prins, J. B., & Byrne, N. M. (2008). Variability in adherence to an unsupervised exercise prescription in obese women. International Journal of Obesity, 32, 837–844.

    Article  PubMed  Google Scholar 

  • Conklin, C. A. (2006). Environments as cues to smoke: Implications for human extinction-based research and treatment. Experimental and Clinical Psychopharmacology, 14, 12–19.

    Article  PubMed  Google Scholar 

  • Conn, K. M., Halterman, J. S., Lynch, K., & Cabana, M. D. (2007). The impact of parents’ medication beliefs on asthma management. Pediatrics, 120(3), e521–e526. doi:https://doi.org/10.1542/peds.2006-3023.

    Article  PubMed  PubMed Central  Google Scholar 

  • Conn, V. S., Hafdahl, A. R., Cooper, P. S., Ruppar, T. M., Mehr, D. R., & Russell, C. L. (2009). Interventions to improve medication adherence among older adults: Meta-analysis of adherence outcomes among randomized controlled trials. Gerontologist, 49(4), 447–462.

    Article  PubMed  Google Scholar 

  • Conroy, M. B., Simkin-Silverman, L. R., Pettee, K. K., Hess, R., Kuller, L. H., & Kriska, A. M. (2007). Lapses and psychosocial factors related to physical activity in early postmenopause. Medicine and Science in Sports and Exercise. doi:https://doi.org/10.1249/mss.0b013e318137388d.

    Article  Google Scholar 

  • Conroy, M. B., Yang, K., Elci, O. U., Gabriel, K. P., Styn, M. A., Wang, J., et al. (2011). Physical activity self-monitoring and weight loss: 6-month results of the SMART trial. Medicine and Science in Sports and Exercise, 43(8), 1568–1574. doi:https://doi.org/10.1249/MSS.0b013e31820b9395.

    Article  PubMed  PubMed Central  Google Scholar 

  • Conway, J. M., Ingwersen, L. A., Vinyard, B. T., & Moshfegh, A. J. (2003). Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. The American Journal of Clinical Nutrition, 77(5), 1171–1178.

    Article  PubMed  Google Scholar 

  • Courneya, K. S., Segal, R. J., Gelmon, K., Reid, R. D., Mackey, J. R., Friedenreich, C. M., et al. (2008). Predictors of supervised exercise adherence during breast cancer chemotherapy. Medicine and Science in Sports and Exercise, 40(6), 1180–1187. doi:https://doi.org/10.1249/MSS.0b013e318168da45.

    Article  PubMed  Google Scholar 

  • Courneya, K. S., Stevinson, C., McNeely, M. L., Sellar, C. M., Peddle, C. J., Friedenreich, C. M., et al. (2010). Predictors of adherence to supervised exercise in lymphoma patients participating in a randomized controlled trial. Annals of Behavioral Medicine, 40(1), 30–39. doi:https://doi.org/10.1007/s12160-010-9205-5.

    Article  PubMed  Google Scholar 

  • Cramer, J. A., Scheyer, R. D., & Mattson, R. H. (1990). Compliance declines between clinic visits. Archives of Internal Medicine, 150, 1509–1510.

    Article  PubMed  Google Scholar 

  • Cummins, S., & Macintyre, S. (2006). Food environments and obesity–neighbourhood or nation? International Journal of Epidemiology, 35(1), 100–104. doi:https://doi.org/10.1093/ije/dyi276.

    Article  PubMed  Google Scholar 

  • Dahlberg, L. L., & Krug, E. G. (2002). Violence-a global public health problem. In E. Krug, L. L. Dahlberg, J. A. Mercy, A. B. Zwi, & R. Lozano (Eds.), World report on violence and health. Geneva: World Health Organization.

    Google Scholar 

  • Daniels, T., Goodacre, L., Sutton, C., Pollard, K., Conway, S., & Peckham, D. (2011). Accurate assessment of adherence: Self-report and clinician report vs electronic monitoring of nebulizers. Chest, 140(2), 425–432. doi:https://doi.org/10.1378/chest.09-3074.

    Article  PubMed  Google Scholar 

  • Dannecker, K. L., Sazonova, N. A., Melanson, E. L., Sazonov, E. S., & Browning, R. C. (2013). A comparison of energy expenditure estimation of several physical activity monitors. Medicine and Science in Sports and Exercise. doi:https://doi.org/10.1249/MSS.0b013e318299d2eb.

    Article  Google Scholar 

  • Dean, A. J., Walters, J., & Hall, A. (2010). A systematic review of interventions to enhance medication adherence in children and adolescents with chronic illness. Archives of Disease in Childhood, 95(9), 717–723.

    Article  PubMed  Google Scholar 

  • Di Noia, J., & Prochaska, J. O. (2010). Dietary stages of change and decisional balance: A meta-analytic review. American Journal of Health Behavior, 34(5), 618–632.

    PubMed  Google Scholar 

  • Di Noia, J., Contento, I. R., & Prochaska, J. O. (2008). Computer-mediated intervention tailored on transtheoretical model stages and processes of change increases fruit and vegetable consumption among urban African-American adolescents. American Journal of Health Promotion, 22(5), 336–341. doi:https://doi.org/10.4278/ajhp.22.5.336.

    Article  PubMed  Google Scholar 

  • DiMatteo, M. R., Haskard, K. B., & Williams, S. L. (2007). Health beliefs, disease severity, and patient adherence: A meta-analysis. Medical Care, 45(6), 521–528.

    Article  PubMed  Google Scholar 

  • Dixon, L. B., Subar, A. F., Peters, U., Weissfeld, J. L., Bresalier, R. S., Risch, A., et al. (2007). Adherence to the USDA food guide, DASH eating plan, and Mediterranean dietary pattern reduces risk of colorectal adenoma. Journal of Nutrition, 137(11), 2443–2450.

    Article  PubMed  Google Scholar 

  • Donaldson, J. M., & Normand, M. P. (2009). Using goal setting, self-monitoring, and feedback to increase calorie expenditure in obese adults. Behavioral Interventions, 24(2), 73–83.

    Article  Google Scholar 

  • Dua, J. S., Cooper, A. R., Fox, K. R., & Graham Stuart, A. (2007). Physical activity levels in adults with congenital heart disease. European Journal of Cardiovascular Prevention and Rehabilitation, 14(2), 287–293.

    Article  PubMed  Google Scholar 

  • Dunbar-Jacob, J. (1996). Event monitoring of adherence in chronic disease. In J. Dunbar-Jacob, J. Berg, S. Boehm, S. DeGeest, & G. Hamilton (Eds.), Fourth International congress of Behavioral medicine. Washington, DC.

    Google Scholar 

  • Dunbar-Jacob, J., Sereika, S. M., Houze, M., Luyster, F. S., & Callan, J. A. (2012). Accuracy of measures of medication adherence in a cholesterol-lowering regimen. Western Journal of Nursing Research. doi:https://doi.org/10.1177/0193945912439251.

    Article  PubMed  PubMed Central  Google Scholar 

  • D'Zurilla, T. J., & Goldfried, M. R. (1971). Problem solving and behavior modification. Journal of Abnormal Psychology, 78(1), 107–126.

    Article  PubMed  Google Scholar 

  • Emmons, R. A. (2000). Is spirituality an intelligence? Motivation, cognition, and the psychology of ultimate concern. International Journal for the Psychology of Religion, 10(1), 3–26.

    Article  Google Scholar 

  • Epstein, L. H., Paluch, R. A., Kilanowski, C. K., & Raynor, H. A. (2004). The effect of reinforcement or stimulus control to reduce sedentary behavior in the treatment of pediatric obesity. Health Psychology, 23(4), 371–380. doi:https://doi.org/10.1037/0278-6133.23.4.371.

    Article  PubMed  Google Scholar 

  • Evenson, K. R., & Wen, F. (2015). Performance of the ActiGraph accelerometer using a national population-based sample of youth and adults. BMC Research Notes, 8(1), 7. doi:https://doi.org/10.1186/s13104-014-0970-2.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fanning, J., Mullen, S. P., & McAuley, E. (2012). Increasing physical activity with mobile devices: A meta-analysis. Journal of Medical Internet Research, 14(6), e161. doi:https://doi.org/10.2196/jmir.2171.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fisher Jr., E. B., La Greca, A. M., Greco, P., Arfken, C., & Schneiderman, N. (1997). Directive and nondirective social support in diabetes management. International Journal of Behavioral Medicine, 4(2), 131–144. doi:https://doi.org/10.1207/s15327558ijbm0402_3.

    Article  PubMed  Google Scholar 

  • Fleury, J., & Lee, S. M. (2006). The social ecological model and physical activity in African American women. American Journal of Community Psychology, 37(1–2), 129–140. doi:https://doi.org/10.1007/s10464-005-9002-7.

    Article  PubMed  Google Scholar 

  • Foreyt, J. P., & Goodrick, G. K. (1993). Evidence for success of behavior modification in weight loss and control. Annals of Internal Medicine, 119(7 Pt 2), 698–701.

    Article  PubMed  Google Scholar 

  • Forjuoh, S. N., Reis, M. D., Couchman, G. R., Ory, M. G., Mason, S., & Molonket-Lanning, S. (2007). Incorporating PDA use in diabetes self-care: A central Texas primary care research network (CenTexNet) study. Journal of American Board of Family Medicine, 20(4), 375–384. doi:https://doi.org/10.3122/jabfm.2007.04.060166. 20/4/375 [pii].

    Article  Google Scholar 

  • Forsman, A. K., Nordmyr, J., & Wahlbeck, K. (2011). Psychosocial interventions for the promotion of mental health and the prevention of depression among older adults. Health Promotion International, 26(Suppl 1), i85–107. doi:https://doi.org/10.1093/heapro/dar074.

    Article  PubMed  Google Scholar 

  • Fuentes, A., Munoz, A., Barnhart, K., Arguello, B., Diaz, M., & Pommer, R. (2010). Recent cigarette smoking and assisted reproductive technologies outcome. Fertility and Sterility, 93(1), 89–95. doi:https://doi.org/10.1016/j.fertnstert.2008.09.073.

    Article  PubMed  Google Scholar 

  • Fuertes, J. N., Mislowack, A., Bennett, J., Paul, L., Gilbert, T. C., Fontan, G., & Boylan, L. S. (2007). The physician-patient working alliance. Patient Education and Counseling, 66(1), 29–36.

    Article  PubMed  Google Scholar 

  • Gabriele, J. M., Carpenter, B. D., Tate, D. F., & Fisher, E. B. (2011). Directive and nondirective e-coach support for weight loss in overweight adults. Annals of Behavioral Medicine, 41(2), 252–263. doi:https://doi.org/10.1007/s12160-010-9240-2.

    Article  PubMed  PubMed Central  Google Scholar 

  • Garfield, S., Clifford, S., Eliasson, L., Barber, N., & Willson, A. (2011). Suitability of measures of self-reported medication adherence for routine clinical use: A systematic review. BMC Medical Research Methodology, 11, 149. doi:https://doi.org/10.1186/1471-2288-11-149.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gazmararian, J. A., Elon, L., Newsome, K., Schild, L., & Jacobson, K. L. (2013). A randomized prospective trial of a worksite intervention program to increase physical activity. American Journal of Health Promotion. doi:https://doi.org/10.4278/ajhp.110525-QUAN-220.

    Article  PubMed  Google Scholar 

  • Gellad, W. F., Haas, J. S., & Safran, D. G. (2007). Race/ethnicity and nonadherence to prescription medications among seniors: Results of a national study. Journal of General Internal Medicine, 22(11), 1572–1578.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gibson, T. B., Wang, S., Kelly, E., Brown, C., Turner, C., Frech-Tamas, F., et al. (2011). A value-based insurance design program at a large company boosted medication adherence for employees with chronic illnesses. Health Affairs (Project Hope), 30(1), 109–117.

    Article  Google Scholar 

  • Gidding, S. S., Lichtenstein, A. H., Faith, M. S., Karpyn, A., Mennella, J. A., Popkin, B., et al. (2009). Implementing American Heart Association pediatric and adult nutrition guidelines: A scientific statement from the American Heart Association nutrition Committee of the Council on nutrition, physical activity and metabolism, Council on cardiovascular disease in the young, Council on arteriosclerosis, thrombosis and vascular biology, Council on cardiovascular nursing, Council on epidemiology and prevention, and Council for High Blood Pressure Research. Circulation, 119(8), 1161–1175. doi:https://doi.org/10.1161/circulationaha.109.191856.

    Article  PubMed  Google Scholar 

  • Gilbody, S., Bower, P., Fletcher, J., Richards, D., & Sutton, A. J. (2006). Collaborative care for depression: A cumulative meta-analysis and review of longer-term outcomes. Archives of Internal Medicine, 166(21), 2314–2321. doi:https://doi.org/10.1001/archinte.166.21.2314.

    Article  PubMed  Google Scholar 

  • Glanz, K., Rimer, B. K., & Viswanath, K. (2008). Health behavior and health education: Theory, research, and practice (4th ed.). San Francisco: Jossey-Bass.

    Google Scholar 

  • Gokee-Larose, J., Gorin, A. A., & Wing, R. R. (2009). Behavioral self-regulation for weight loss in young adults: A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 6, 10. doi:https://doi.org/10.1186/1479-5868-6-10.

    Article  PubMed  Google Scholar 

  • Gordon-Larsen, P., Nelson, M. C., Page, P., & Popkin, B. M. (2006). Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics, 117(2), 417–424. doi:https://doi.org/10.1542/peds.2005-0058.

    Article  PubMed  Google Scholar 

  • Gordon-Larsen, P., Boone-Heinonen, J., Sidney, S., Sternfeld, B., Jacobs Jr., D. R., & Lewis, C. E. (2009). Active commuting and cardiovascular disease risk: The CARDIA study. Archives of Internal Medicine, 169(13), 1216–1223. doi:https://doi.org/10.1001/archinternmed.2009.163. 169/13/1216 [pii].

    Article  PubMed  PubMed Central  Google Scholar 

  • Gordon-Larsen, P., Hou, N., Sidney, S., Sternfeld, B., Lewis, C. E., Jacobs, D. R., Jr., & Popkin, B. M. (2009). Fifteen-year longitudinal trends in walking patterns and their impact on weight change. The American Journal of Clinical Nutrition, 89(1), 19–26.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gordon-Larsen, P., Guilkey, D. K., & Popkin, B. M. (2011). An economic analysis of community-level fast food prices and individual-level fast food intake: A longitudinal study. Health & Place, 17(6), 1235–1241. doi:https://doi.org/10.1016/j.healthplace.2011.07.011.

    Article  Google Scholar 

  • Gorin, A. A., Wing, R. R., Fava, J. L., Jakicic, J. M., Jeffery, R., West, D. S., et al. (2008). Weight loss treatment influences untreated spouses and the home environment: Evidence of a ripple effect. International Journal of Obesity, 32(11), 1678–1684. doi:https://doi.org/10.1038/ijo.2008.150.

    Article  PubMed  Google Scholar 

  • Gyurcsik, N. C., Brawley, L. R., Spink, K. S., & Sessford, J. D. (2013). Meeting physical activity recommendations: Self-regulatory efficacy characterizes differential adherence during arthritis flares. Rehabilitation Psychology, 58(1), 43–50. doi:https://doi.org/10.1037/a0031293.

    Article  PubMed  Google Scholar 

  • Hardcastle, S., Taylor, A., Bailey, M., & Castle, R. (2008). A randomised controlled trial on the effectiveness of a primary health care based counselling intervention on physical activity, diet and CHD risk factors. Patient Education and Counseling, 70(1), 31–39.

    Article  PubMed  Google Scholar 

  • Hawkins, R. P., Kreuter, M., Resnicow, K., Fishbein, M., & Dijkstra, A. (2008). Understanding tailoring in communicating about health. Health Education Research, 23(3), 454–466.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hayden-Wade, H. A., Coleman, K. J., Sallis, J. F., & Armstrong, C. (2003). Validation of the telephone and in-person interview versions of the 7-day PAR. Medicine and Science in Sports and Exercise, 35(5), 801–809. doi:https://doi.org/10.1249/01.MSS.0000064941.43869.4E.

    Article  PubMed  Google Scholar 

  • Haynes, R. B., McDonald, H. P., & Garg, A. X. (2002). Helping patients follow prescribed treatment: Clinical applications. Journal of the American Medical Association, 288(22), 2880–2883.

    Article  PubMed  Google Scholar 

  • Hedegaard, U., Kjeldsen, L. J., Pottegard, A., Bak, S., & Hallas, J. (2014). Multifaceted intervention including motivational interviewing to support medication adherence after stroke/transient ischemic attack: A randomized trial. Cerebrovascular Diseases Extra, 4(3), 221–234. doi:https://doi.org/10.1159/000369380.

    Article  PubMed  PubMed Central  Google Scholar 

  • Heitzler, C. D., Martin, S. L., Duke, J., & Huhman, M. (2006). Correlates of physical activity in a national sample of children aged 9-13 years. Preventive Medicine, 42(4), 254–260. doi:https://doi.org/10.1016/j.ypmed.2006.01.010.

    Article  PubMed  Google Scholar 

  • Heron, K. E., & Smyth, J. M. (2010). Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments. British Journal of Health Psychology, 15(Pt 1), 1–39. doi:https://doi.org/10.1348/135910709X466063. bjhp696 [pii].

    Article  PubMed  Google Scholar 

  • Hill, M. N., & Houston-Miller, N. (1996). Compliance enhancement – A call for multidisciplinary team approaches. Circulation, 93, 4–6.

    Article  PubMed  Google Scholar 

  • Ho, P. M., Bryson, C. L., & Rumsfeld, J. S. (2009). Medication adherence. Circulation, 119(23), 3028–3035. doi:https://doi.org/10.1161/circulationaha.108.768986.

    Article  PubMed  Google Scholar 

  • Ho, P. M., Lambert-Kerzner, A., Carey, E. P., Fahdi, I. E., Bryson, C. L., Melnyk, S. D., et al. (2014). Multifaceted intervention to improve medication adherence and secondary prevention measures after acute coronary syndrome hospital discharge: A randomized clinical trial. JAMA Internal Medicine, 174(2), 186–193. doi:https://doi.org/10.1001/jamainternmed.2013.12944.

    Article  PubMed  Google Scholar 

  • Hsu, J., Price, M., Huang, J., Brand, R., Fung, V., Hui, R., et al. (2006). Unintended consequences of caps on Medicare drug benefits. The New England Journal of Medicine, 354(22), 2349–2359.

    Article  PubMed  Google Scholar 

  • Hudson, A. J. (2004). The counterweight programme: Tackling obesity in primary care. Professional Nurse, 19(9), 484–486.

    Google Scholar 

  • Hutchesson, M. J., Rollo, M. E., Callister, R., & Collins, C. E. (2015). Self-monitoring of dietary intake by young women: Online food records completed on computer or smartphone are as accurate as paper-based food records but more acceptable. Journal of the Academy of Nutrition and Dietetics, 115(1), 87–94. doi:https://doi.org/10.1016/j.jand.2014.07.036.

    Article  PubMed  Google Scholar 

  • Johnson, R. K., Friedman, A. B., Harvey-Berino, J., Gold, B. C., & McKenzie, D. (2005). Participation in a behavioral weight-loss program worsens the prevalence and severity of underreporting among obese and overweight women. Journal of the American Dietetic Association, 105(12), 1948–1951.

    Article  PubMed  Google Scholar 

  • Johnston, W., Buscemi, J., & Coons, M. J. (2013). Multiple health behavior change: A synopsis and comment on “a review of multiple health behavior change interventions for primary prevention”. Translational Behavioral Medicine, 3(1), 6–7.

    Article  PubMed Central  Google Scholar 

  • Kalichman, S. C., Amaral, C. M., Cherry, C., Flanagan, J., Pope, H., Eaton, L., et al. (2008). Monitoring medication adherence by unannounced pill counts conducted by telephone: Reliability and criterion-related validity. HIV Clinical Trials, 9(5), 298–308. doi:https://doi.org/10.1310/hct0905-298.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kanfer, F. H. (1970). Self-monitoring: Methodological limitations and clinical applications. Journal of Consulting and Clinical Psychology, 35(2), 148–152.

    Article  Google Scholar 

  • Kanfer, F. H. (1990). Research and theory as guides for therapeutic strategies. In H. Zapotoczky & T. Wenzel (Eds.), The scientific dialogue: From basic research to clinical intervention. Annual series of European research in behavior therapy. Amsterdam: Swets & Zeitlinger Publishers.

    Google Scholar 

  • Kanfer, F. H. (1991). Self-management methods (4th ed.). New York: Pergamon Press.

    Google Scholar 

  • Kanfer, F. H. (1996). Motivation and emotion in behavior therapy. In K. S. E. Dobson & K. D. E. Craig (Eds.), Advances in cognitive-behavioral therapy. Thousand Oaks: SAGE.

    Google Scholar 

  • Kaphingst, K. A., Zanfini, C. J., & Emmons, K. M. (2006). Accessibility of web sites containing colorectal cancer information to adults with limited literacy (United States). Cancer Causes & Control, 17(2), 147–151. doi:https://doi.org/10.1007/s10552-005-5116-3.

    Article  Google Scholar 

  • Katon, W. J., Lin, E. H., Von Korff, M., Ciechanowski, P., Ludman, E. J., Young, B., et al. (2010). Collaborative care for patients with depression and chronic illnesses. The New England Journal of Medicine, 363(27), 2611–2620. doi:https://doi.org/10.1056/NEJMoa1003955.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kodama, S., Saito, K., Tanaka, S., Horikawa, C., Fujiwara, K., Hirasawa, R., et al. (2012). Effect of web-based lifestyle modification on weight control: A meta-analysis. International Journal of Obesity, 36(5), 675–685. doi:https://doi.org/10.1038/ijo.2011.121.

    Article  PubMed  Google Scholar 

  • Koenigsberg, M. R., Bartlett, D., & Cramer, J. S. (2004). Facilitating treatment adherence with lifestyle changes in diabetes. American Family Physician, 69(2), 309–316.

    PubMed  Google Scholar 

  • Koh, C., Nelson, J. M., & Cook, P. F. (2011). Evaluation of a patient navigation program. Clinical Journal of Oncology Nursing, 15, 41–48. doi:https://doi.org/10.1188/11.CJON.

    Article  PubMed  Google Scholar 

  • Kong, A., Beresford, S. A., Imayama, I., Duggan, C., Alfano, C. M., Foster-Schubert, K. E., et al. (2012). Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention. Nutrition Research, 32(4), 260–265. doi:https://doi.org/10.1016/j.nutres.2012.03.001.

    Article  PubMed  Google Scholar 

  • Kottke, T. E., Battista, R. N., DeFriese, G. H., & Brekke, M. L. (1988). Attributes of successful smoking cessation interventions in medical practice. A meta-analysis of 39 controlled trials. JAMA, 259(19), 2883–2889.

    Article  PubMed  Google Scholar 

  • Krapek, K., King, K., Warren, S. S., George, K. G., Caputo, D. A., Mihelich, K., et al. (2004). Medication adherence and associated hemoglobin A1c in type 2 diabetes. The Annals of Pharmacotherapy, 38(9), 1357–1362. doi:https://doi.org/10.1345/aph.1D612.

    Article  PubMed  Google Scholar 

  • Kripalani, S., Yao, X., & Haynes, R. B. (2007). Interventions to enhance medication adherence in chronic medical conditions: A systematic review. Archives of Internal Medicine, 167(6), 540–549. doi:https://doi.org/10.1001/archinte.167.6.540.

    Article  PubMed  Google Scholar 

  • Kroenke, C. H., Caan, B. J., Stefanick, M. L., Anderson, G., Brzyski, R., Johnson, K. C., et al. (2012). Effects of a dietary intervention and weight change on vasomotor symptoms in the Women’s Health Initiative. Menopause, 19(9), 980–988. doi:https://doi.org/10.1097/gme.0b013e31824f606e.

    Article  PubMed  PubMed Central  Google Scholar 

  • Krueger, K. P., Berger, B. A., & Felkey, B. (2005). Medication adherence and persistence: A comprehensive review. Advances in Therapy, 22(4), 313–356.

    Article  PubMed  Google Scholar 

  • Lafata, J. E., Morris, H. L., Dobie, E., Heisler, M., Werner, R. M., & Dumenci, L. (2013). Patient-reported use of collaborative goal setting and glycemic control among patients with diabetes. Patient Education and Counseling. doi:https://doi.org/10.1016/j.pec.2013.01.016.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lafay, L., Thomas, F., Mennen, L., Charles, M. A., Eschwege, E., Borys, J. M., et al. (2001). Gender differences in the relation between food cravings and mood in an adult community: Results from the fleurbaix laventie ville sante study. International Journal of Eating Disorders, 29(2), 195–204.

    Google Scholar 

  • Leiba, A., Vald, A., Peleg, E., Shamiss, A., & Grossman, E. (2005). Does dietary recall adequately assess sodium, potassium, and calcium intake in hypertensive patients? Nutrition, 21(4), 462–466.

    Article  PubMed  Google Scholar 

  • Lin, P. H., Chen, C., Young, D. R., Mitchell, D., Elmer, P., Wang, Y., et al. (2012). Glycemic index and glycemic load are associated with some cardiovascular risk factors among the PREMIER study participants. Food & Nutrition Research, 56. doi:https://doi.org/10.3402/fnr.v56i0.9464.

    Article  Google Scholar 

  • Lustria, M. L., Cortese, J., Noar, S. M., & Glueckauf, R. L. (2009). Computer-tailored health interventions delivered over the web: Review and analysis of key components. Patient Education and Counseling, 74(2), 156–173. doi:https://doi.org/10.1016/j.pec.2008.08.023.

    Article  PubMed  Google Scholar 

  • Marcus, B. H., Napolitano, M. A., King, A. C., Lewis, B. A., Whiteley, J. A., Albrecht, A., et al. (2007). Telephone versus print delivery of an individualized motivationally tailored physical activity intervention: Project STRIDE. Health Psychology, 26(4), 401–409. doi:https://doi.org/10.1037/0278-6133.26.4.401.

    Article  PubMed  Google Scholar 

  • Marlatt, G. A., & Gordon, J. R. (1980). Determinants of relapse: Implications for the maintenance of behavior change. In P. Davidson & S. Davidson (Eds.), Behavioral medicine: Changing health lifestyles (pp. 410–452). New York: Brunner/Mazel.

    Google Scholar 

  • Marrero, D. G., Ard, J., Delamater, A. M., Peragallo-Dittko, V., Mayer-Davis, E. J., Nwankwo, R., & Fisher, E. B. (2013). Twenty-first century behavioral medicine: A context for empowering clinicians and patients with diabetes: A consensus report. Diabetes Care, 36(2), 463–470. doi:https://doi.org/10.2337/dc12-2305.

    Article  PubMed  PubMed Central  Google Scholar 

  • Martin, C. K., O’Neil, P. M., & Pawlow, L. (2006). Changes in food cravings during low-calorie and very-low-calorie diets. Obesity, 14(1), 115–121.

    Article  PubMed  Google Scholar 

  • Matt, G. E., Rock, C. L., & Johnson-Kozlow, M. (2006). Using recall cues to improve measurement of dietary intakes with a food frequency questionnaire in an ethnically diverse population: An exploratory study. Journal of the American Dietetic Association, 106(8), 1209–1217.

    Article  PubMed  Google Scholar 

  • Mayberry, L. S., & Osborn, C. Y. (2012). Family support, medication adherence, and glycemic control among adults with type 2 diabetes. Diabetes Care, 35(6), 1239–1245. doi:https://doi.org/10.2337/dc11-2103.

    Article  PubMed  PubMed Central  Google Scholar 

  • McLeroy, K. R., Bibeau, D., Steckler, A., & Glanz, K. (1988). An ecological perspective on health promotion programs. Health Education Quarterly, 15(4), 351–377.

    Article  PubMed  Google Scholar 

  • Meetoo, D. D., McAllister, G., & West, A. (2011). Assessing glycaemic control: Self-monitoring of blood glucose. British Journal of Nursing, 20(15), 919–920, 922, 924–915.

    Article  PubMed  Google Scholar 

  • Mielenz, T. J., Kubiak-Rizzone, K. L., Alvarez, K. J., Hlavacek, P. R., Freburger, J. K., Giuliani, C., et al. (2013). Association of self-efficacy and outcome expectations with physical activity in adults with arthritis. Art, 2013, 621396. doi:https://doi.org/10.1155/2013/621396.

    Article  Google Scholar 

  • Miller, S. K., Alpert, P. T., & Cross, C. L. (2008). Overweight and obesity in nurses, advance practice nurses, and nurse educators. Journal of the American Academy of Nurse Practitioners, 20, 259–265.

    Article  PubMed  Google Scholar 

  • Morisky, D. E., Green, L. W., & Levine, D. M. (1986). Concurrent and predictive validity of a self-reported measure of medication adherence. Medical Care, 24, 67–74.

    Article  PubMed  Google Scholar 

  • Morisky, D. E., Ang, A., Krousel-Wood, M., & Ward, H. J. (2008). Predictive validity of a medication adherence measure in an outpatient setting. Journal of Clinical Hypertension (Greenwich, Conn.), 10(5), 348–354.

    Article  Google Scholar 

  • Mozaffarian, D., Afshin, A., Benowitz, N. L., Bittner, V., Daniels, S. R., Franch, H. A., et al. (2012). Population approaches to improve diet, physical activity, and smoking habits: A scientific statement from the American Heart Association. Circulation, 126(12), 1514–1563. doi:https://doi.org/10.1161/CIR.0b013e318260a20b.

    Article  PubMed  Google Scholar 

  • Music, E., Styn, M. A., Burke, L. E., French, B., Siewiorek, D. P., Smailagic, A., & Rathbun, S. (2013). Development of technology infrastructure to support real-time data collection in behavioral research. Annals of Behavioral Medicine, 45(Supp), s123.

    Google Scholar 

  • Natarajan, S., Santa Ana, E. J., Liao, Y., Lipsitz, S. R., & McGee, D. L. (2009). Effect of treatment and adherence on ethnic differences in blood pressure control among adults with hypertension. [Erratum appears in Ann Epidemiol. 2009 Jun;19(6):437]. Annals of Epidemiology, 19(3), 172–179.

    Article  PubMed  Google Scholar 

  • Nieuwlaat, R., Wilczynski, N., Navarro, T., Hobson, N., Jeffery, R., Keepanasseril, A., et al. (2014). Interventions for enhancing medication adherence. Cochrane Database of Systematic Reviews, 11, CD000011. doi:https://doi.org/10.1002/14651858.CD000011.pub4.

    Article  Google Scholar 

  • Norris, S. L., Lau, J., Smith, S. J., Schmid, C. H., & Engelgau, M. M. (2002). Self-management education for adults with type 2 diabetes: A meta-analysis of the effect on glycemic control. Diabetes Care, 25(7), 1159–1171.

    Article  PubMed  Google Scholar 

  • Norton, L. H., Norton, K. I., Lewis, N., & Dollman, J. (2011). A comparison of two short-term intensive physical activity interventions: Methodological considerations. International Journal of Behavioral Nutrition and Physical Activity, 8, 133. doi:https://doi.org/10.1186/1479-5868-8-133.

    Article  PubMed  Google Scholar 

  • Ogedegbe, G., Schoenthaler, A., Richardson, T., Lewis, L., Belue, R., Espinosa, E., et al. (2007). An RCT of the effect of motivational interviewing on medication adherence in hypertensive African Americans: Rationale and design. Contemporary Clinical Trials, 28(2), 169–181.

    Article  PubMed  Google Scholar 

  • Olson, A. L., Gaffney, C. A., Lee, P. W., & Starr, P. (2008). Changing adolescent health behaviors: The healthy teens counseling approach. American Journal of Preventive Medicine, 35(5 Suppl), S359–S364. doi:https://doi.org/10.1016/j.amepre.2008.08.014. S0749-3797(08)00677-6 [pii].

    Article  PubMed  Google Scholar 

  • Olson, A. L., Gaffney, C. A., Hedberg, V. A., & Gladstone, G. R. (2009). Use of inexpensive technology to enhance adolescent health screening and counseling. Archives of Pediatrics and Adolescent Medicine, 163(2), 172–177. doi:https://doi.org/10.1001/archpediatrics.2008.533. 163/2/172 [pii].

    Article  PubMed  Google Scholar 

  • Osterberg, L., & Blaschke, T. F. (2005). Adherence to medication. New England Journal of Medicine, 353(5), 487–497.

    Article  PubMed  Google Scholar 

  • Ownby, R. L., Waldrop-Valverde, D., Caballero, J., & Jacobs, R. J. (2012). Baseline medication adherence and response to an electronically delivered health literacy intervention targeting adherence. Neurobehavioral HIV Medicine, 4, 113–121. doi:https://doi.org/10.2147/NBHIV.S36549.

    Article  PubMed  PubMed Central  Google Scholar 

  • Page, S. J., & Persch, A. C. (2013). Recruitment, retention, and blinding in clinical trials. The American Journal of Occupational Therapy, 67(2), 154–161. doi:https://doi.org/10.5014/ajot.2013.006197.

    Article  PubMed  PubMed Central  Google Scholar 

  • Palacio, A. M., Uribe, C., Hazel-Fernandez, L., Li, H., Tamariz, L. J., Garay, S. D., & Carrasquillo, O. (2014). Can phone-based motivational interviewing improve medication adherence to antiplatelet medications after a coronary stent among racial minorities? A randomized trial. Journal of General Internal Medicine. doi:https://doi.org/10.1007/s11606-014-3139-8.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pan, S. Y., Cameron, C., Desmeules, M., Morrison, H., Craig, C. L., & Jiang, X. (2009). Individual, social, environmental, and physical environmental correlates with physical activity among Canadians: A cross-sectional study. BMC Public Health, 9, 21. doi:https://doi.org/10.1186/1471-2458-9-21.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pärna, K., Rahu, M., Youngman, L. D., Rahu, K., Nygård-Kibur, M., & Koupil, I. (2005). Self-reported and serum cotinine-validated smoking in pregnant women in Estonia. Maternal and Child Health Journal, 9(4), 385–392.

    Article  PubMed  Google Scholar 

  • Parr, C. L., Hjartaker, A., Lund, E., & Veierod, M. B. (2013). Meat intake, cooking methods, and risk of proximal colon, distal colon, and rectal cancer: The Norwegian women and cancer (NOWAC) cohort study. International Journal of Cancer. doi:https://doi.org/10.1002/ijc.28101.

    Article  PubMed  Google Scholar 

  • Patrick, K., Raab, F., Adams, M. A., Dillon, L., Zabinski, M., Rock, C. L., et al. (2009). A text message-based intervention for weight loss: Randomized controlled trial. Journal of Medical Internet Research, 11(1), e1. doi:https://doi.org/10.2196/jmir.1100.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pearson, E. S. (2012). Goal setting as a health behavior change strategy in overweight and obese adults: A systematic literature review examining intervention components. Patient Education and Counseling, 87(1), 32–42. doi:https://doi.org/10.1016/j.pec.2011.07.018.

    Article  PubMed  Google Scholar 

  • Pellegrini, C. A., Duncan, J. M., Moller, A. C., Buscemi, J., Sularz, A., DeMott, A., et al. (2012). A smartphone-supported weight loss program: Design of the ENGAGED randomized controlled trial. BMC Public Health, 12, 1041. doi:https://doi.org/10.1186/1471-2458-12-1041.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pellegrini, C. A., Verba, S. D., Otto, A. D., Helsel, D. L., Davis, K. K., & Jakicic, J. M. (2012). The comparison of a technology-based system and an in-person behavioral weight loss intervention. Obesity (Silver Spring), 20(2), 356–363. doi: https://doi.org/10.1038/oby.2011.13.

    Article  PubMed  Google Scholar 

  • Perri, M. G., Limacher, M. C., Durning, P. E., Janicke, D. M., Lutes, L. D., Bobroff, L. B., et al. (2008). Extended-care programs for weight management in rural communities: The treatment of obesity in underserved rural settings (TOURS) randomized trial. Archives of Internal Medicine, 168(21), 2347–2354. doi:https://doi.org/10.1001/archinte.168.21.2347. 168/21/2347 [pii].

    Article  PubMed  PubMed Central  Google Scholar 

  • Peterson, M. S., Lawman, H. G., Wilson, D. K., Fairchild, A., & Van Horn, M. L. (2012). The association of self-efficacy and parent social support on physical activity in male and female adolescents. Health Psychology. doi:https://doi.org/10.1037/a0029129.

    Article  PubMed  Google Scholar 

  • Pettman, T. L., Misan, G. M., Owen, K., Warren, K., Coates, A. M., Buckley, J. D., & Howe, P. R. (2008). Self-management for obesity and cardio-metabolic fitness: Description and evaluation of the lifestyle modification program of a randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 5, 53. doi:https://doi.org/10.1186/1479-5868-5-53.

    Article  PubMed  Google Scholar 

  • Pfrimer, K., Saes Sartorelli, D., Rosa, F. T., Maria Mendes Resende, C., Viera, D. V., Rabito, E. I., et al. (2013). Calibration of the food list and portion sizes of a food frequency questionnaire applied to free-living elderly people. Nutrition. doi:https://doi.org/10.1016/j.nut.2012.10.005.

    Article  PubMed  Google Scholar 

  • Quandt, S. A., Vitolins, M. Z., Smith, S. L., Tooze, J. A., Bell, R. A., Davis, C. C., et al. (2007). Comparative validation of standard, picture-sort and meal-based food-frequency questionnaires adapted for an elderly population of low socio-economic status. Public Health Nutrition, 10(5), 524–532.

    Article  PubMed  Google Scholar 

  • Radhakrishnan, K. (2012). The efficacy of tailored interventions for self-management outcomes of type 2 diabetes, hypertension or heart disease: A systematic review. Journal of Advanced Nursing, 68(3), 496–510. doi:https://doi.org/10.1111/j.1365-2648.2011.05860.x.

    Article  PubMed  Google Scholar 

  • Rao, G., Burke, L. E., Spring, B. J., Ewing, L. J., Turk, M., Lichtenstein, A. H., et al. (2011). New and emerging weight management strategies for busy ambulatory settings: A scientific statement from the American Heart Association endorsed by the Society of Behavioral Medicine. Circulation, 124(10), 1182–1203. doi:https://doi.org/10.1161/CIR.0b013e31822b9543.

    Article  PubMed  Google Scholar 

  • Reeder, C. E., Franklin, M., & Bramley, T. J. (2007). Current landscape of insomnia in managed care. The American Journal of Managed Care, 13(5 Suppl), S112–S116.

    PubMed  Google Scholar 

  • Reeve, M. D., Pumpa, K. L., & Ball, N. (2014). Accuracy of the SenseWear Armband Mini and the BodyMedia FIT in resistance training. Journal of Science and Medicine in Sport, 17(6), 630–634. doi:https://doi.org/10.1016/j.jsams.2013.08.007.

    Article  PubMed  Google Scholar 

  • Reid, R. J., Coleman, K., Johnson, E. A., Fishman, P. A., Hsu, C., Soman, M. P., et al. (2010). The group health medical home at year two: Cost savings, higher patient satisfaction, and less burnout for providers. Health Affairs (Millwood), 29(5), 835–843. doi:https://doi.org/10.1377/hlthaff.2010.0158.

    Article  Google Scholar 

  • Rogers, L. Q., McAuley, E., Anton, P. M., Courneya, K. S., Vicari, S., Hopkins-Price, P., et al. (2012). Better exercise adherence after treatment for cancer (BEAT Cancer) study: Rationale, design, and methods. Contemporary Clinical Trials, 33(1), 124–137. doi:https://doi.org/10.1016/j.cct.2011.09.004.

    Article  PubMed  Google Scholar 

  • Rollnick, S., Miller, W. R., & Bulter, C. C. (2008). Motivational interviewing in health care. New York: The Guilford Press.

    Google Scholar 

  • Rosland, A. M., Kieffer, E., Israel, B., Cofield, M., Palmisano, G., Sinco, B., et al. (2008). When is social support important? The association of family support and professional support with specific diabetes self-management behaviors. Journal of General Internal Medicine, 23(12), 1992–1999. doi:https://doi.org/10.1007/s11606-008-0814-7.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ross-Degnan, D., Pierre-Jacques, M., Zhang, F., Tadeg, H., Gitau, L., Ntaganira, J., et al. (2010). Measuring adherence to antiretroviral treatment in resource-poor settings: The clinical validity of key indicators. BMC Health Services Research, 10, 42. doi:https://doi.org/10.1186/1472-6963-10-42.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rubak, S., Sandbaek, A., Lauritzen, T., & Christensen, B. (2005). Motivational interviewing: A systematic review and meta-analysis. British Journal of General Practice, 55(513), 305–312.

    PubMed  Google Scholar 

  • Rumpler, W. V., Kramer, M., Rhodes, D. G., Moshfegh, A. J., & Paul, D. R. (2008). Identifying sources of reporting error using measured food intake. European Journal of Clinical Nutrition, 62(4), 544–552. doi:https://doi.org/10.1038/sj.ejcn.1602742.

    Article  PubMed  Google Scholar 

  • Sallis, J., Owen, N., & Fisher, E. (2008). Ecological models of health behavior. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior and health education: Theory, research, and practice (3rd ed., pp. 462–484). San Francisco: Jossey-Bass.

    Google Scholar 

  • Santschi, V., Wuerzner, G., Schneider, M. P., Bugnon, O., & Burnier, M. (2007). Clinical evaluation of IDAS II, a new electronic device enabling drug adherence monitoring. European Journal of Clinical Pharmacology, 63(12), 1179–1184.

    Article  PubMed  Google Scholar 

  • Sazonova, N., Browning, R. C., & Sazonov, E. (2011). Accurate prediction of energy expenditure using a shoe-based activity monitor. Medicine and Science in Sports and Exercise, 43(7), 1312–1321. doi:https://doi.org/10.1249/MSS.0b013e318206f69d.

    Article  PubMed  Google Scholar 

  • 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, 371. doi:https://doi.org/10.1186/1471-2458-1188-1371.

    Article  PubMed  PubMed Central  Google Scholar 

  • Schoenborn, C. A., & Stommel, M. (2011). Adherence to the 2008 adult physical activity guidelines and mortality risk. American Journal of Preventive Medicine, 40(5), 514–521. doi:https://doi.org/10.1016/j.amepre.2010.12.029. S0749-3797(11)00064-X [pii].

    Article  PubMed  Google Scholar 

  • Seghers, J., Van Hoecke, A. S., Schotte, A., Opdenacker, J., & Boen, F. (2014). The added value of a brief self-efficacy coaching on the effectiveness of a 12-week physical activity program. Journal of Physical Activity & Health, 11(1), 18–29. doi:https://doi.org/10.1123/jpah.2011-0445.

    Article  PubMed  Google Scholar 

  • Shapiro, J. R., Koro, T., Neal Doran, N., Thompson, S., Sallis, J. F., Calfas, K., & Patrick, K. (2012). Text4Diet: A randomized controlled study using text messaging for weight loss behaviors. Preventive Medicine, 55, 412–417.

    Article  PubMed  Google Scholar 

  • Shay, L. E., Seibert, D., Watts, D., Sbrocco, T., & Pagliara, C. (2009). Adherence and weight loss outcomes associated with food-exercise diary preference in a military weight management program. Eating Behaviors, 10(4), 220–227. doi:https://doi.org/10.1016/j.eatbeh.2009.07.004.

    Article  PubMed  PubMed Central  Google Scholar 

  • Shephard, R. J., & Aoyagi, Y. (2012). Measurement of human energy expenditure, with particular reference to field studies: An historical perspective. European Journal of Applied Physiology, 112(8), 2785–2815. doi:https://doi.org/10.1007/s00421-011-2268-6.

    Article  PubMed  Google Scholar 

  • Shuger, S. L., Barry, V. W., Sui, X., McClain, A., Hand, G. A., Wilcox, S., et al. (2011). Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 8, 41. doi:https://doi.org/10.1186/1479-5868-8-41.

    Article  PubMed  Google Scholar 

  • Shuval, K., DeVahl, J., Tong, L., Gimpel, N., Lee, J. J., & DeHaven, M. J. (2011). Anthropometric measures, presence of metabolic syndrome, and adherence to physical activity guidelines among African American church members, Dallas, Texas, 2008. Preventing Chronic Disease, 8(1), A18.

    PubMed  Google Scholar 

  • Six, B. L., Schap, T. E., Kerr, D. A., & Boushey, C. J. (2011). Evaluation of the food and nutrient database for dietary studies for use with a mobile telephone food record. Journal of Food Composition and Analysis, 24(8), 1160–1167. doi:https://doi.org/10.1016/j.jfca.2011.06.006.

    Article  PubMed  PubMed Central  Google Scholar 

  • Smedley, B. D., & Syme, S. L. (2000). Promoting health: Intervention strategies from social and behavioural research. Washington, DC: Division of Health Promotion and Disease Prevention, Institute of Medicine.

    Google Scholar 

  • Smith, D. C., Lanesskog, D., Cleeland, L., Motl, R., Weikert, M., & Dlugonski, D. (2012). Motivational interviewing may improve exercise experience for people with multiple sclerosis: A small randomized trial. Health & Social Work, 37(2), 99–109.

    Article  Google Scholar 

  • Smith West, D., DiLillo, V., Burzac, Z., Gore, S. A., & Greene, P. G. (2007). Motivational interviewing improves weight loss in women with type 2 diabetes. Diabetes Care, 30(5), 1081–1087.

    Article  Google Scholar 

  • Spoelstra, S. L., Schueller, M., Hilton, M., & Ridenour, K. (2014). Interventions combining motivational interviewing and cognitive behaviour to promote medication adherence: A literature review. Journal of Clinical Nursing. doi:https://doi.org/10.1111/jocn.12738.

    Article  PubMed  Google Scholar 

  • Spring, B., Schneider, K., McFadden, H. G., Vaughn, J., Kozak, A. T., Smith, M., et al. (2012). Multiple behavior changes in diet and activity: A randomized controlled trial using mobile technology. Behavior changes in diet and activity. Archives of Internal Medicine, 172(10), 789–796. doi:https://doi.org/10.1001/archinternmed.2012.1044.

    Article  PubMed  PubMed Central  Google Scholar 

  • Springer, A. E., Kelder, S. H., & Hoelscher, D. M. (2006). Social support, physical activity and sedentary behavior among 6th-grade girls: A cross-sectional study. International Journal of Behavioral Nutrition and Physical Activity, 3, 8. doi:https://doi.org/10.1186/1479-5868-3-8.

    Article  PubMed  Google Scholar 

  • Stepnowsky, C. J., Marler, M. R., Palau, J., & Annette Brooks, J. (2006). Social-cognitive correlates of CPAP adherence in experienced users. Sleep Medicine, 7(4), 350–356. doi:https://doi.org/10.1016/j.sleep.2005.11.004. S1389-9457(05)00269-8 [pii].

    Article  PubMed  Google Scholar 

  • Stewart, K., George, J., Mc Namara, K. P., Jackson, S. L., Peterson, G. M., Bereznicki, L. R., et al. (2014). A multifaceted pharmacist intervention to improve antihypertensive adherence: A cluster-randomized, controlled trial (HAPPy trial). Journal of Clinical Pharmacy and Therapeutics, 39(5), 527–534. doi:https://doi.org/10.1111/jcpt.12185.

    Article  PubMed  Google Scholar 

  • Stone, A. A., Turkkan, J. S., Bachrach, C. A., Jobe, J. B., Kurtzman, H. S., & Cain, V. S. (Eds.). (2000). The science of self-report: Implications for research and practice. Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Storti, K. L., Pettee, K. K., Brach, J. S., Talkowski, J. B., Richardson, C. R., & Kriska, A. M. (2008). Gait speed and step-count monitor accuracy in community-dwelling older adults. Medicine and Science in Sports and Exercise, 40(1), 59–64.

    Article  PubMed  Google Scholar 

  • Stote, K. S., Radecki, S. V., Moshfegh, A. J., Ingwersen, L. A., & Baer, D. J. (2011). The number of 24 h dietary recalls using the US Department of Agriculture's automated multiple-pass method required to estimate nutrient intake in overweight and obese adults. Public Health Nutrition, 14(10), 1736–1742. doi:https://doi.org/10.1017/s1368980011000358.

    Article  PubMed  Google Scholar 

  • Strecher, V. J., Seijits, G. H., Kok, G. J., Latham, G. P., Glasgow, R. E., DeVellis, B., et al. (1995). Goal setting as a strategy for health behavior change. Health Education Quarterly, 22(2), 190–200.

    Article  PubMed  Google Scholar 

  • Streuber, S., Knoblich, G., Sebanz, N., Bulthoff, H. H., & de la Rosa, S. (2011). The effect of social context on the use of visual information. Experimental Brain Research, 214(2), 273–284. doi:https://doi.org/10.1007/s00221-011-2830-9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Stuart-Shor, E. M., Berra, K. A., Kamau, M. W., & Kumanyika, S. K. (2012). Behavioral strategies for cardiovascular risk reduction in diverse and underserved racial/ethnic groups. Circulation, 125(1), 171–184. doi:https://doi.org/10.1161/circulationaha.110.968495.

    Article  PubMed  PubMed Central  Google Scholar 

  • Svetkey, L. P., Stevens, V. J., Brantley, P. J., Appel, L. J., Hollis, J. F., Loria, C. M., et al. (2008). Comparison of strategies for sustaining weight loss: The weight loss maintenance randomized controlled trial. JAMA, 299(10), 1139–1148. doi:https://doi.org/10.1001/jama.299.10.1139. 299/10/1139 [pii].

    Article  PubMed  Google Scholar 

  • Tamers, S. L., Beresford, S. A., Cheadle, A. D., Zheng, Y., Bishop, S. K., & Thompson, B. (2011). The association between worksite social support, diet, physical activity and body mass index. Preventive Medicine, 53(1–2), 53–56. doi:https://doi.org/10.1016/j.ypmed.2011.04.012.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tate, D. F., Jackvony, E. H., & Wing, R. R. (2006). A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an internet weight loss program. Archives of Internal Medicine, 166(15), 1620–1625. doi:https://doi.org/10.1001/archinte.166.15.1620.

    Article  PubMed  Google Scholar 

  • Teeter, B. S., & Kavookjian, J. (2014). Telephone-based motivational interviewing for medication adherence: A systematic review. Translation Behavioral Medicine, 4(4), 372–381. doi:https://doi.org/10.1007/s13142-014-0270-3.

    Article  Google Scholar 

  • ter Bogt, N. C. W., Bemelmans, W. J. E., Beltman, F. W., Broer, J., Smit, A. J., & van der Meer, K. (2011). Preventing weight gain by lifestyle intervention in a general practice setting: Three-year results of a randomized controlled trial. Archives of Internal Medicine, 171(4), 306–313.

    PubMed  Google Scholar 

  • Thomas, C. M. (2007). The influence of self-concept on adherence to recommended health regimens in adults with heart failure. The Journal of Cardiovascular Nursing, 22(5), 405–416.

    Article  PubMed  Google Scholar 

  • Tinker, L. F., Rosal, M. C., Young, A. F., Perri, M. G., Patterson, R. E., Van Horn, L., et al. (2007). Predictors of dietary change and maintenance in the Women’s Health Initiative Dietary Modification Trial. Journal of the American Dietetic Association, 107(7), 1155–1166. doi:https://doi.org/10.1016/j.jada.2007.04.010.

    Article  PubMed  Google Scholar 

  • Tobi, P., Estacio, E. V., Yu, G., Renton, A., & Foster, N. (2012). Who stays, who drops out? Biosocial predictors of longer-term adherence in participants attending an exercise referral scheme in the UK. BMC Public Health, 12, 347. doi:https://doi.org/10.1186/1471-2458-12-347.

    Article  PubMed  PubMed Central  Google Scholar 

  • Trombini-Souza, F., Fuller, R., Matias, A., Yokota, M., Butugan, M., Goldenstein-Schainberg, C., & Sacco, I. C. (2012). Effectiveness of a long-term use of a minimalist footwear versus habitual shoe on pain, function and mechanical loads in knee osteoarthritis: A randomized controlled trial. BMC Musculoskeletal Disorders, 13, 121. doi:https://doi.org/10.1186/1471-2474-13-121.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tseng, M., & Hernandez, T. (2005). Comparison of intakes of US Chinese women based on food frequency and 24-hour recall data. Journal of the American Dietetic Association, 105(7), 1145–1148.

    Article  PubMed  Google Scholar 

  • Tucker, K. L. (2007). Assessment of usual dietary intake in population studies of gene-diet interaction. Nutrition, Metabolism, and Cardiovascular Diseases, 17(2), 74–81.

    Article  PubMed  Google Scholar 

  • Tucker, K. L., Maras, J., Champagne, C., Connell, C., Goolsby, S., Weber, J., et al. (2005). A regional food-frequency questionnaire for the US Mississippi Delta. Public Health Nutrition, 8(1), 87–96.

    Article  PubMed  Google Scholar 

  • Turner-McGrievy, G. M., Beets, M. W., Moore, J. B., Kaczynski, A. T., Barr-Anderson, D. J., & Tate, D. F. (2013). Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. Journal of the American Medical Informatics Association. doi:https://doi.org/10.1136/amiajnl-2012-001510.

    Article  PubMed  PubMed Central  Google Scholar 

  • U.S. Department of Health & Human Services. Office of Disease prevention and Health Promotion. (2013). Healthy People 2020. Retrieved March 25, 2013, from http://www.healthypeople.gov/2020/default.aspx

  • Umstattd Meyer, M. R., Baller, S. L., Mitchell, S. M., & Trost, S. (2012). Comparison of three accelerometer data reduction approaches, step counts, and two self-report measures for estimating physical activity in free-living adults. Journal of Physical Activity and Health, 10, 1068–1074.

    Article  PubMed  Google Scholar 

  • Urban, L. E., McCrory, M. A., Dallal, G. E., Das, S. K., Saltzman, E., Weber, J. L., & Roberts, S. B. (2011). Accuracy of stated energy contents of restaurant foods. JAMA: The Journal of the American Medical Association, 306(3), 287–293. doi:https://doi.org/10.1001/jama.2011.993.

    Article  PubMed  Google Scholar 

  • Van Horn, L. (2011). Calories count. JAMA: The Journal of the American Medical Association, 306(3), 315–316. doi:https://doi.org/10.1001/jama.2011.1022.

    Article  PubMed  Google Scholar 

  • Vasbinder, E. C., Janssens, H. M., Rutten-van Molken, M. P., van Dijk, L., de Winter, B. C., de Groot, R. C., et al. (2013). E-monitoring of asthma therapy to improve compliance in children using a real-time medication monitoring system (RTMM): The e-MATIC study protocol. BMC Medical Informatics and Decision Making, 13(1), 38. doi:https://doi.org/10.1186/1472-6947-13-38.

    Article  PubMed  PubMed Central  Google Scholar 

  • Villarini, A., Pasanisi, P., Traina, A., Mano, M. P., Bonanni, B., Panico, S., et al. (2012). Lifestyle and breast cancer recurrences: The DIANA-5 trial. Tumori, 98(1), 1–18. doi:https://doi.org/10.1700/1053.11494.

    Article  PubMed  Google Scholar 

  • Vioque, J., Navarrete-Munoz, E. M., Gimenez-Monzo, D., Garcia-de-la-Hera, M., Granado, F., Young, I. S., et al. (2013). Reproducibility and validity of a food frequency questionnaire among pregnant women in a Mediterranean area. Nutrition Journal, 12, 26. doi:https://doi.org/10.1186/1475-2891-12-26.

    Article  PubMed  PubMed Central  Google Scholar 

  • Vlachopoulos, S. P., & Neikou, E. (2007). A prospective study of the relationships of autonomy, competence, and relatedness with exercise attendance, adherence, and dropout. The Journal of Sports Medicine and Physical Fitness, 47(4), 475–482.

    PubMed  Google Scholar 

  • Vogeli, C., Shields, A. E., Lee, T. A., Gibson, T. B., Marder, W. D., Weiss, K. B., & Blumenthal, D. (2007). Multiple chronic conditions: Prevalence, health consequences, and implications for quality, care management, and costs. Journal of General Internal Medicine, 22(Suppl 3), 391–395. doi:https://doi.org/10.1007/s11606-007-0322-1.

    Article  PubMed  PubMed Central  Google Scholar 

  • von Gruenigen, V., Frasure, H., Kavanagh, M. B., Janata, J., Waggoner, S., Rose, P., et al. (2012). Survivors of uterine cancer empowered by exercise and healthy diet (SUCCEED): A randomized controlled trial. Gynecologic Oncology, 125(3), 699–704. doi:https://doi.org/10.1016/j.ygyno.2012.03.042.

    Article  Google Scholar 

  • Wadden, T. A., West, D. S., Neiberg, R. H., Wing, R. R., Ryan, D. H., Johnson, K. C., et al. (2009). One-year weight losses in the look AHEAD study: Factors associated with success. Obesity (Silver Spring), 17(4), 713–722. doi:https://doi.org/10.1038/oby.2008.637. oby2008637 [pii].

    Article  PubMed Central  Google Scholar 

  • Wagner, E. H., Austin, B. T., Davis, C., Hindmarsh, M., Schaefer, J., & Bonomi, A. (2001). Improving chronic illness care: Translating evidence into action. Health Affairs (Millwood), 20(6), 64–78.

    Article  Google Scholar 

  • Walsh, M. C., Hunter, G. R., Sirikul, B., & Gower, B. A. (2004). Comparison of self-reported with objectively assessed energy expenditure in black and white women before and after weight loss. American Journal of Clinical Nutrition, 79(6), 1013–1019.

    Article  PubMed  Google Scholar 

  • Warziski, M. T., Sereika, S. M., Styn, M. A., Music, E., & Burke, L. E. (2008). Changes in self-efficacy and dietary adherence: The impact on weight loss in the PREFER study. Journal of Behavioral Medicine, 31(1), 81–92. doi:https://doi.org/10.1007/s10865-007-9135-2.

    Article  PubMed  Google Scholar 

  • Weaver, T. E., & Grunstein, R. R. (2008). Adherence to continuous positive airway pressure therapy: The challenge to effective treatment. Proceedings of the American Thoracic Society, 5(2), 173–178. doi:https://doi.org/10.1513/pats.200708-119MG.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wells, K. M., & Wells, T. D. (2007). Preventing relapse after weight loss. Journal of the American Medical Athletic Association, 20(2), 5–10.

    Google Scholar 

  • White, M. A., Whisenhunt, B. L., Williamson, D. A., Greenway, F. L., & Netemeyer, R. G. (2002). Development and validation of the food craving inventory. Obesity Research, 10, 107–114.

    Article  PubMed  Google Scholar 

  • Wing, R. R. (2010). Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: Four-year results of the look AHEAD trial. Archives of Internal Medicine, 170(17), 1566–1575. doi:https://doi.org/10.1001/archinternmed.2010.334.

    Article  PubMed  Google Scholar 

  • Wing, R., & Hill, J. (2001). Successful weight loss maintenance. Annual Review of Nutrition, 21, 323–341.

    Article  PubMed  Google Scholar 

  • Wing, R. R., Tate, D. F., Gorin, A. A., Raynor, H. A., & Fava, J. L. (2006). A self-regulation program for maintenance of weight loss. New England Journal of Medicine, 355(15), 1563–1571.

    Article  PubMed  Google Scholar 

  • World Health Organization. (2003). Adherence to long-term therapies: Evidence for action. Geneva: World Health Organization.

    Google Scholar 

  • Yanek, L., Becker, D., Moy, T., Gittelsohn, J., & Koffman, D. (2001). Project joy: Faith based cardiovascular health promotion for African American women. Public Health Report, 116(Suppl 1), 68–81.

    Article  Google Scholar 

  • Yon, B. A., Johnson, R. K., Harvey-Berino, J., & Gold, B. C. (2006). The use of a personal digital assistant for dietary self-monitoring does not improve the validity of self-reports of energy intake. Journal of the American Dietetic Association, 106(8), 1256–1259.

    Article  PubMed  Google Scholar 

  • Yue, Y., Jia, W., & Sun, M. (2012). Measurement of food volume based on single 2-D image without conventional camera calibration. Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, 2166–2169. doi:https://doi.org/10.1109/embc.2012.6346390.

    Article  Google Scholar 

  • Zimmerman, T. P., Hull, S. G., McNutt, S., Mittl, B., Islam, N., Guenther, P. M., et al. (2009). Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24). Journal of Food Composition Analysis, 22(Supplement 1), S48–S51. doi:https://doi.org/10.1016/j.jfca.2009.02.003.

    Article  PubMed  Google Scholar 

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Burke, L.E., Zheng, Y., Wang, J. (2018). Adherence. In: Fisher, E., et al. Principles and Concepts of Behavioral Medicine. Springer, New York, NY. https://doi.org/10.1007/978-0-387-93826-4_19

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