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                  902    PA R T  V / Health Promotion and Disease Prevention
                   25. Acharya, S. D., Elci, O. U., Sereika, S. M., et al. (2009). Examination of  49. Burke, L. E., Kim, Y., Senuzun, F., et al. (2006). Evaluation of the short-
                      adherence to a multi-component behavioral weight loss treatment pro-  ened cholesterol-lowering diet self-efficacy scale. European Journal of
                                                                                        5
                                                                                        5
                      gram. Journal of Patient Preference and Adherence, 3, 1–10.  Cardiovascular Nursing, 5, 264–274.
                   26. Dew, M. A., DiMartini, A. F., De Vito Dabbs, A., et al. (2007). Rates  50. Rutishauser, I. H. (2005). Dietary intake measurements. Public Health
                      and risk factors for nonadherence to the medical regimen after adult solid  Nutrition, 8(7A), 1100–1107.
                      organ transplantation. Transplantation, 83(7), 858–873.  51. Matt, G. E., Rock, C. L., & Johnson-Kozlow, M. (2006). Using recall
                   27. Burke, L. E. (2001). Electronic monitoring. In L. E. Burke & I. S. Ockene  cues to improve measurement of dietary intakes with a food frequency
                      (Ed.), Compliance in healthcare and research. Armonk, NY: Futura Pub-  questionnaire in an ethnically diverse population: An exploratory study.
                      lishing Company, Inc.                              Journal of the American Dietetic Association, 106(8), 1209–1217.
                                                                                                      6
                                                                                                      6
                   28. Schron, E., & Czajkowski, S. M. (2001). Clinical trials. In L. E. Burke  52. Tseng, M., & Hernandez, T. (2005). Comparison of intakes of US Chi-
                      & I. S. Ockene  (Eds.),  Compliance in healthcare and research  (pp.  nese women based on food frequency and 24-hour recall data. Journal of
                      237–246). Armonk, NY: Futura Publishing Company, Inc.  the American Dietetic Association, 105(7), 1145–1148.
                   29. Sereika, S. M., & Dunbar-Jacob, J. (2001). Analysis of electronic event  53. Sevak, L., Mangtani, P., McCormack, V., et al. (2004). Validation of a
                                 e
                      monitored adherence. Armonk, NY: Future Publishing Company Inc.  food frequency questionnaire to assess macro- and micro-nutrient intake
                   30. Urquhart, J. (1991). Patient compliance as an explanatory variable in four  among South Asians in the United Kingdom. European Journal of Nu-
                      selected cardiovascular studies. New York: Raven Press.  trition, 43(3), 160–168.
                   31. Dunbar-Jacob, J., & Sereika, S. (2001). Conceptual and methodological  54. Quandt, S. A., Vitolins, M. Z., Smith, S. L., et al. (2007). Comparative
                      problems. In L. A. Burke & I. S. Ockene (Ed.), Compliance in healthcare  validation of standard, picture-sort and meal-based food-frequency ques-
                      and research. Ormonk, NY: Futura Publishing Company, Inc.  tionnaires adapted for an elderly population of low socio-economic status.
                   32. Urquhart, J. (2001). Biological measures. In L. E. Burke & I. S. Ockene  Public Health Nutrition, 10(5), 524–532.
                      (Ed.), Compliance in healthcare and research. Armonk, NY: Futura Pub-  55. Tucker, K. L., Maras, J., Champagne, C., et al. (2005). A regional food-
                      lishing Company, Inc.                              frequency questionnaire for the US Mississippi Delta. Public Health Nu-
                   33. Cramer, J. A., Scheyer, R. D., & Mattson, R. H. (1990). Compliance de-  trition, 8(1), 87–96.
                                                         0
                      clines between clinic visits. Archives of Internal Medicine, 150, 1509–1510.  56. Jakicic, J. M., Wing, R. R., & Winters-Hart, C. (2002). Relationship of
                                                         0
                   34. Cramer, J. A., Mattson, R. H., Prevey, M. L., et al. (1989). How often is  physical activity to eating behaviors and weight loss in women. Medicine
                      medication taken as prescribed? A novel assessment technique. JAMA,  & Science in Sports & Exercise, 34(10), 1653–1659.
                                                                                             4
                                                                                             4
                      261(22), 3273–3277.                              57. Kriska, A. M., & Caspersen, C. J. (1997). Introduction to a collection
                   35. Dunbar-Jacob, J., Burke, L. E., Rohay, J. M., et al. (1997). How compa-  of physical activity questionnaires. Medicine and Science in Sports and
                                                                                9
                                                                                9
                      rable are self-report, pill count, and electronically monitored adherence  Exercise, 29, S5–S9.
                                  6
                      data? Circulation, 96(8, Suppl.), I738.          58. Pereira, M. A., FitzerGerald, S. J., Gregg, E. W., et al. (1997). A collec-
                                  6
                   36. Dixon, L. B., Subar, A. F., Peters, U., et al. (2007). Adherence to the  tion of Physical Activity Questionnaires for health-related research. Med-
                      USDA Food Guide, DASH Eating Plan, and Mediterranean dietary pat-  icine & Science in Sports & Exercise\, 29(6, Suppl.), S1–S205.
                      tern reduces risk of colorectal adenoma. Journal of Nutrition, 137(11),  59. Sternfeld, B., Wang, H., Quesenberry, C. P., Jr., et al. (2004). Physical
                                                               7
                                                               7
                      2443–2450.                                         activity and changes in weight and waist circumference in midlife
                   37. Tucker, K. L. (2007). Assessment of usual dietary intake in population  women: Findings from the Study of Women’s Health Across the Nation.
                      studies of gene-diet interaction. Nutrition, Metabolism and Cardiovascular  American Journal of Epidemiology, 160(9), 912–922.
                            7
                      Diseases, 17(2), 74–81.                          60. Hughes, A. R., Mutrie, N., & Macintyre, P. D. (2007). Effect of an ex-
                            7
                   38. Blanton, C. A., Moshfegh, A. J., Baer, D. J., et al. (2006). The USDA  ercise consultation on maintenance of physical activity after completion
                      automated multiple-pass method accurately estimates group total energy  of phase III exercise-based cardiac rehabilitation. European Journal of
                      and nutrient intake. Journal of Nutrition, 136(10), 2594–2599.  Cardiovascular Prevention and Rehabilitation, 14(1), 114–121.
                                                 6
                                                                                                      4
                                                 6
                                                                                                      4
                   39. Conway, J. M., Ingwersen, L. A., Vinyard, B. T., et al. (2003). Effective-  61. Cooper, T. V., Resor, M. R., Stoever, C. J., et al. (2007). Physical activ-
                      ness of the US Department of Agriculture 5-step multiple-pass method  ity and physical activity adherence in the elderly based on smoking sta-
                      in assessing food intake in obese and nonobese women. American Jour-  tus. Addictive Behaviors, 32(10), 2268–2273.
                      nal of Clinical Nutrition, 77(5), 1171–1178.     62. Dubbert, P. M., Vander Weg, M. W., Kirchner, K. A., et al. (2004). Eval-
                                      7
                                      7
                   40. Fuller, Z., Horgan, G., O’reilly, L. M., et al. (2007). Comparing  uation of the 7-day physical activity recall in urban and rural men. Med-
                      different measures of energy expenditure in human subjects resident in  icine & Science in Sports & Exercise, 36(9), 1646–1654.
                                                                                                6
                                                                                                6
                      a metabolic facility. European Journal of Clinical Nutrition, 62,  63. Catenacci, V. A., Ogden, L. G., Stuht, J., et al. (2008). Physical activity
                      560–569.                                           patterns in the National Weight Control Registry. Obesity, 16(1), 153–161.
                                                                                                             6
                                                                                                             6
                   41. Shaffer, H. J., Nelson, S. E., LaPlante, D. A., et al. (2007). The epi-  64. Dunn, C. L., Hannan, P. J., Jeffery, R. W., et al. (2006). The compara-
                      demiology of psychiatric disorders among repeat DUI offenders accept-  tive and cumulative effects of a dietary restriction and exercise on weight
                      ing a treatment-sentencing option. Journal of Consulting and Clinical Psy-  loss. International Journal of Obesity,30(1), 112–121.
                      chology, 75(5):795–804.                          65. King, A. C., Ahn, D. K., Oliveira, B. M., et al. (2008). Promoting phys-
                   42. American Psychiatric Association. (2000). Diagnostic and statistical   ical activity through hand-held computer technology. American Journal
                                                                                        4
                      manual of mental disorders (text revision, 4th ed.). Washinton, DC:   of Preventive Medicine, 34(2), 138–142.
                                                                                        4
                      Author.                                          66. Fagerstrom, K. O., & Schneider, N. G. (1989). Measuring nicotine de-
                   43. Li, W. W., Wallhagen, M. I., & Froelicher, E. S. (2008). Hypertension  pendence: A review of the Fagerstrom Tolerance Questionnaire. Journal
                      control, predictors for medication adherence and gender differences in  of Behavioral Medicine, 12(2), 159–182.
                      older Chinese immigrants. Journal of Advanced Nursing, 61(3), 326–335.  67. John, U., Riedel, J., Rumpf, H. J., et al. (2006). Associations of perceived
                   44. Natarajan, N., Putnam, R. W., Yip, A. M., et al. (2007). Family practice  work strain with nicotine dependence in a community sample. Occupa-
                      patients’ adherence to statin medications. Canadian Family Physician,  tional and Environmental Medicine, 63(3), 207–211.
                      53(12), 2144–2145.                               68. Etter, J. F. (2005). A comparison of the content-, construct- and predic-
                   45. Shalansky, S. J., Levy, A. R., & Ignaszewski, A. P. (2004). Self-reported  tive validity of the cigarette dependence scale and the Fagerstrom test for
                      Morisky score for identifying nonadherence with cardiovascular medica-  nicotine dependence. Drug and Alcohol Dependence, 77(3), 259–268.
                                                                                                           7
                                                                                                           7
                      tions. Annals of Pharmacother, 38(9), 1363–1368.  69. Burke, L. E., Sereika, S. M., Music, E., et al. (2008). Using instrumented
                   46. Rottlaender, D., Scherner, M., Schneider, T., et al. (2007). Polyphar-  paper diaries to document self-monitoring patterns in weight loss. Con-
                      macy, compliance and non-prescription medication in patients with car-  temporary Clinical Trials, 29(2), 182–193.
                                                                                          9
                                                                                          9
                      diovascular disease in Germany. Deutsche Medizinische Wochenschrift,  70. Burke, L. E., Warziski, M., Starrett, T., et al. (2005). Self-monitoring di-
                      132(4), 139–144.                                   etary intake: Current and future practices. Journal of Renal Nutrition,
                   47. Elm, J. J., Kamp, C., Tilley, B. C., et al. (2007). Self-reported adherence  15(3), 281–290.
                      versus pill count in Parkinson’s disease: The NET-PD experience. Move-  71. Wadden, T. A., Berkowitz, R. I., Womble, L. G., et al. (2005). Random-
                      ment Disorders, 22(6), 822–827.                    ized trial of lifestyle modification and pharmacotherapy for obesity. New
                   48. Burke, L. E., Dunbar-Jacob, J., Sereika, S., et al. (2003). Development  England Journal of Medicine, 353(20), 2111–2120.
                      and testing of the Cholesterol-Lowering Diet Self-Efficacy Scale. Euro-  72. Carels, R. A., Darby, L. A., Rydin, S., et al. (2005). The relationship be-
                      pean Journal of Cardiovascular Nursing,2(4), 265–273.  tween self-monitoring, outcome expectancies, difficulties with eating and
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