Factors influencing self-regulatory fatigue in patients undergoing chemotherapy for gynecologic cancer: a cross-sectional study

Chunhui Lin; Fengzhi Zhang; Fangfang Yang; Yuanting Lin; Tian Tian; Kaige Shi; Manman Li; Xiaoxue Li

doi:10.3389/fpsyt.2024.1273151

Factors influencing self-regulatory fatigue in patients undergoing chemotherapy for gynecologic cancer: a cross-sectional study

Front Psychiatry. 2024 Apr 25:15:1273151. doi: 10.3389/fpsyt.2024.1273151. eCollection 2024.

Authors

Chunhui Lin¹, Fengzhi Zhang¹, Fangfang Yang², Yuanting Lin³, Tian Tian⁴, Kaige Shi², Manman Li², Xiaoxue Li¹

Affiliations

¹ Department of Nursing, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
² Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
³ Pediatric Rehabilitation Department, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
⁴ Department of Gynecology, Henan Cancer Hospital & The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.

Abstract

Objective: To understand the current status of self-regulatory fatigue among gynecologic cancer chemotherapy patients and explore influencing factors.

Methods: Using convenient sampling, a total of 232 gynecological cancer chemotherapy patients from two tertiary hospitals in Zhengzhou, Henan, China, were selected as study subjects from February 2023 to April 2023. General information questionnaire, Self-Regulatory Fatigue Scale (SRF-S), Strategies Used by People to Promote Health (SUPPH) Scale, Connor-Davidson resilience scale (CD-RISC) and Perceived Social Support Scale (PSSS) were employed for data collection. The data were analyzed using SPSS 26.0 software. Chi-square test and binary logistic regression were executed to explore the correlates of self-regulatory fatigue, the significance level (α) was set at 0.05.

Results: The self-regulatory fatigue score of the 232 patients was 44 (36, 56). Binary logistic regression analyses revealed significant associations, demonstrating that residing in urban areas (OR=0.241, P=0.015), having no comorbidities (OR=0.158, P=0.015), increased perceived social support (OR=0.937, P=0.001), strong self-efficacy (OR=0.959, P=0.021), and heightened psychological resilience (OR=0.895, P<0.001) acted as protective factors against self-regulatory fatigue (P < 0.05).

Conclusion: Patients residing in rural areas, having more than two comorbidities, lower self-efficacy and psychological resilience levels, and lower perceived social support are indicative of higher levels of self-regulatory fatigue. Identifying these influencing factors can provide references and support for developing individualized support and intervention measures to improve patients' physical and mental well-being.

Keywords: female; genital neoplasms; psychological; resilience; self-efficacy; self-regulatory fatigue; social support.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study received support from the Medical Science and Technology Research Project of Henan Province, China (Grant No: LHGJ20190335).