Page 926 - Cardiac Nursing
P. 926
ar
d
009
Apt
2
9
/
02
9
9-9
a
0
9-9
p88
qx
2
6
5
0
LWB
40_
1
LWB K34 0-c 40_ p88 9-9 0 5 . qx d 2 9 / 0 6 / / 2 009 1 0:1 7 P M Pa g e 9 02 Apt ar a
LWBK340-c40_p88p889-905..qxd 29/06/2009 10:17 PM Page 902 Aptara
K34
0-c
K34
g
Pa
02
e 9
7 P
0:1
M
009
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

