Possible Gender Differences in the Relationships of Self-efficacy and the Internal Locus of Control With Compliance in Hemodialysis Patients

References

• Kaveh K, Kimmel PL. Compliance in hemodialysis patients: multidimensional measures in search of a gold standard. Am J Kidney Dis. 2001;37:244-266.
   Google Scholar
• Saran R, Bragg-Gresham JL, Rayner HC, et al. Nonadherence in hemodialysis: associations with mortality, hospitalization, and practice patterns in the DOPPS. Kidney Int. 2003;64:254-262.
   Google Scholar
• Bleyer AJ, Hylander B, Sudo H, et al. An international study of patient compliance with hemodialysis. JAMA. 1999;281:1211-1213.
   Google Scholar
• Bandura A. Social Learning Theory. New York: Prentice-Hall; 1977.
   Google Scholar
• Rotter JB. Generalized expectancies for internal versus external control of reinforcement. Psychol Monogr. 1966;80:609.
   Google Scholar
• Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84:191-215.
   Google Scholar
• Flannery RB Jr. Personal control as a moderator variable of life stress: preliminary inquiry. Psychol Rep. 1986;58:200-202.
   Google Scholar
• Maddux JE. Self-efficacy theory. In: Maddux JE, ed. Self-efficacy, Adaptation, and Adjustment. New York: Plenum Press; 1995:1-31.
   Google Scholar
• Devins GM, Binik YM, Gorman P, et al. Perceived self-efficacy, outcome expectancies, and negative mood states in end-stage renal disease. J Abnorm Psychol. 1982;91:241-244.
   Google Scholar
• Zetin M, Plummer MJ, Vaziri ND, Cramer M. Locus of control and adjustment to chronic hemodialysis. Clin Exp Dial Apheresis. 1981;5:319-334.
   Google Scholar
• Wenerovics WJ, Riskind JH, Jenkins PG. Locus of control and degree of compliance in hemodialysis patients. J Dial. 1978;2:495-505.
   Google Scholar
• Senecal C, Nouwen A, White D. Motivation and dietary self-care in adults with diabetes: are self-efficacy and autonomous self-regulation complementary or competing constructs? Health Psychol. 2000;19:452-457.
   Google Scholar
• Hoelscher TJ, Lichstein KL, Rosental TL. Home relaxation practice in hypertension treatment: objective assessment and compliance induction. J Consult Clin Psychol. 1986;54:217-221.
   Google Scholar
• Brus H, van de Laar M, Taal E, Rasker J, Wiegman O. Determinants of compliance with medication in patients with rheumatoid arthritis: the importance of self-efficacy expectations. Patient Educ Couns. 1999;36:57-64.
   Google Scholar
• Mohr DC, Boudewyn AC, Arne C, Likosky W, Livine E, Goodkin DE. Injectable medication for the treatment of multiple sclerosis: the influence of self-efficacy expectations and injection anxiety on adherence and ability to self-inject. Ann Behav Med. 2001;23:125-132.
   Google Scholar
• Catz SL, Kelly JA, Bogart LM, Benotsch EG, McAuliffe TL. Patterns, correlates, and barriers to medication adherence among persons prescribed new treatments for HIV disease. Health Psychol. 2000;19:124-133.
   Google Scholar
• Barnhoorn F, Adriaanse H. The research of factors responsible for noncompliance among tuberculosis patients in Wadra District, India. Soc Sci Med. 1992;34:291-306.
   Google Scholar
• Granlund B, Brulin C, Johansson H, Sojka P. Can motivational factors predict adherence to an exercise program for subjects with low back pain? Scand J Behav Ther. 1998;27:81-96.
   Google Scholar
• Kavanagh DJ, Sitharthan T, Sayer GP. Prediction of results from correspondence treatment for controlled drinking. Addiction. 1996;91:1539-1545.
   Google Scholar
• Millard RW, Waranch HR, McEntee M. Compliance to nicotine gum recommendation in a multicomponent group smoking cessation program: an exploratory study. Addict Behav. 1992; 17:201-207.
   Google Scholar
• Tedesco LA, Keffer MA, Flerk-Kandath C. Self-efficacy, reasoned action, and oral health behavior reports: a social cognitive approach to compliance. J Behav Med. 1991; 14:341-355.
   Google Scholar
• Jayanti RK, Burns AC. The antecedents of preventive health care behavior: an empirical study. J Acad Mark Sci. 1998;26:6-15.
   Google Scholar
• Rosenbaum M, Ben-Ari SK. Cognitive and personality factors in the delay of gratification of hemodialysis patients. J Pers Soc Psychol. 1986;51:357-364.
   Google Scholar
• Welch JL. Hemodialysis patient beliefs by stage of fluid adherence. Res Nurs Health. 2001;24:105-112.
   Google Scholar
• Rapael SW. Self-efficacy and compliance among hemodialysis patients. Diss Abstr Int. 1989;50:1657-1658.
   Google Scholar
• Takaki J, Nishi T, Shimoyama H, et al. Possible variances of blood urea nitrogen, serum potassium and phosphorus levels and interdialytic weight gain accounted for compliance of hemodialysis patients. J Psychosom Res. 2003;55:525-529.
   Google Scholar
• Tanner JL, Craig CB, Bartolucci AA, et al. The effect of a self-monitoring tool on self-efficacy, health beliefs, and adherence in patients receiving hemodialysis. J Ren Nutr. 1998;8:203-211.
   Google Scholar
• Brady BA, Tucker CM, Alfino PA, Tarrant DG, Finlayson GC. An investigation of factors associated with fluid adherence among hemodialysis patients: a self-efficacy theory based approach. Ann Behav Med. 1997;19:339-343.
   Google Scholar
• Schneider MS, Friend R, Whitaker P, Wadhwa NK. Fluid noncompliance and symptomatology in end-stage renal disease: cognitive and emotional variables. Health Psychol. 1991;10:209-215.
   Google Scholar
• Godin G, Kok G. The theory of planned behavior: a review of its applications to health-related behaviors. Am J Health Promot. 1996; 11:87-98.
   Google Scholar
• Motl RW, Dishman RK, Ward DS, et al. Examining social-cognitive determinants of intention and physical activity among black and white adolescent girls using structural equation modeling. Health Psychol. 2002;21:459-467.
   Google Scholar
• Schwarzer R, Renner B. Social-cognitive predictors of health behavior: action self-efficacy and coping self-efficacy. Health Psychol. 2000; 19:487-495.
   Google Scholar
• Terry DJ, O'Leary JE. The theory of planned behaviour: the effects of perceived behavioral control and self-efficacy. Br J Soc Psychol. 1995;34:199-220.
   Google Scholar
• de Vreis H, Dijkstra M, Kuhlman P. Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioral intentions. Health Educ Res. 1988;3:273-282.
   Google Scholar
• Brug J, Lechner L, De Vries H. Psychosocial determinants of fruit and vegetable consumption. Appetite. 1995;25:285-296.
   Google Scholar
• Godin G, Savard J, Kok G, Fortin C, Boyer R. HIV seropositive gay men: understanding adoption of safe sexual practices. AIDS Educ Prev. 1996;8:529-545.
   Google Scholar
• Cox DN, Koster A, Russell CG. Predicting intentions to consume functional foods and supplements to offset memory loss using an adaptation of protection motivation theory. Appetite. 2004;43:55-64.
   Google Scholar
• Biddle S, Goudas M, Page A. Social-psychological predictors of self-reported actual and intended physical activity in a university workforce sample. Br J Sports Med. 1994;28:160-163.
   Google Scholar
• Kuppens R, Eriksen MP, Adriaanse HP, Nijhuis FJ, Aaron JC. Determinants of fat and fiber consumption in American rural energy workers. Prev Med. 1996;25:212-217.
   Google Scholar
• Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50:179-211.
   Google Scholar
• Ajzen I. From intentions to actions: a theory of planned behavior. In: Kuhl J, Beckman J, eds. Action-Control: From Cognition to Behavior. Heidelberg, Germany: Springer-Verlag; 1985:11-39.
   Google Scholar
• Schifter DE, Ajzen I. Intention, perceived control, and weight loss: an application of the theory of planned behavior. J Pers Soc Psychol. 1985;49:843-851.
   Google Scholar
• Ajzen I, Madden TJ. Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. J Exp Soc Psychol. 1986;22:453-474.
   Google Scholar
• Backman DR, Haddad EH, Lee JW, Johnston PK, Hodgkin GE. Psychosocial predictors of healthful dietary behavior in adolescents. J Nutr Educ Behav. 2002;34:184-192.
   Google Scholar
• Lien N, Lytle LA, Komro KA. Applying theory of planned behavior to fruit and vegetable consumption of young adolescents. Am J Health Promot. 2002;16:189-197.
   Google Scholar
• Dzewaltowski DA, Noble JM, Shaw JM. Physical activity participation: social cognitive theory versus the theories of reasoned action and planned behavior. J Sport Exer Psychol. 1990;12:388-405.
   Google Scholar
• Kim WS, Shimada H, Sakano Y. The relationship between self-efficacy on health behavior and stress responses in chronic disease patients. Jpn J Psychosom Med. 1996;36:499-505.
   Google Scholar
• Wallston KA, Wallston BS, Devellis R. Development of the Multidimentional Health Locus of Control (MHLC) scales. Health Educ Monogr. 1978;6:160-170.
   Google Scholar
• Horige Y. A Japanese version of the health locus of control scales. Rinsho-shinrigaku-kenkyu. 1991;4:1-7.
   Google Scholar
• Daugirdas JT. Second-generation logarithmic estimates of single-pool variable volume of Kt/V: an analysis error. J Am Soc Nephrol. 1993;4:1205-1213.
   Google Scholar
• Jaccard J, Turrisi R, Wan CK. Interaction Effects in Multiple Regression. Newbury Park, CA: Sage; 1990.
   Google Scholar
• Hebert JR, Ma Y, Clemow L, et al. Gender differences in social desirability and social approval bias in dietary self-report. Am J Epidemiol. 1997;146:1046-1055.
   Google Scholar
• Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol. 1995;24:389-398.
   Google Scholar
• Japanese Society for Dialysis Therapy. An Overview of Regular Dialysis Treatment in Japan (as of Dec. 31, 2000) Tokyo: Japanese Society for Dialysis Therapy; 2001:83-85.
   Google Scholar