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Peer-reviewedCC BY-NCJournal of Holistic Nursing and Midwifery

Predicting emotional regulation strategies of Iranian nurses based on their social acceptance and self-control: A Cross Sectional Study

  • Shabbou Rezaei1
  • Benyamin Hamid2
  • Laila Ganji3
  • Malek Amini4
  • Marzieh Pashmdarfard5
5 affiliations
  1. 1Psychology ( MSc), Department of Educational Psychology and Rehabilitation Counselling, Tehran Medical Branch, Islamic Azad University, Tehran, Iran.
  2. 2Occupational Therapy (BSc ) , Student Research Committee, Department of Occupational Therapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  3. 3Assistant Professor, Department of Educational Psychology and Rehabilitation Counselling, Tehran Medical Branch, Islamic Azad University, Tehran, Iran.
  4. 4Associate Professor, Rehabilitation Research Centre, Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.
  5. 5Assistant Professor, Department of Occupational Therapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Abstract

Introduction: Effective interpersonal communication is crucial in nursing, heavily influenced by emotional regulation, social acceptance, and self-control skills. These factors can significantly affect the quality of patient care and overall healthcare outcomes. Objective: This study aimed to predict emotional regulation strategies of Iranian nurses based on their social acceptance and self-control. Materials and Methods: This is a descriptive analytical study with a cross-sectional design that was conducted on 200 nurses from hospitals in Baneh, Kurdistan Province, Iran. Due to the limited number of employed hospital nurses in this county, a census sampling method was used. Data were collected using Gross and John’s Emotion Regulation Questionnaire (ERQ), Social Desirability Scale (SDS), and Tangney's Self-Control Scale (T-SCS). Statistical analysis was done using the Kolmogorov-Smirnov test, Pearson’s correlation test, Analysis of Variance (ANOVA), and multiple linear regression analysis. Results: The mean age of participants was 39±7.34 years (ranged 23-51 years) and majority of them were female (89%). Additionally, their mean work experience was 19 ± 8.12 years. The results revealed the significant positive correlation of social acceptance (r = 0.478, p =0.01) and self-control (r = 0.804, p =0.01) with emotional regulation. Multiple linear regression analysis indicated that both social acceptance (β = 0.84, 95%CI: 0.62-1.26, p= 0.01) and self-control (β= 0.728, 95%CI: 0.64-1.25, p= 0.01) were significant predictors of emotional regulation (R2 = 0.681). Conclusion: The findings underscore the ability of social acceptance and self-control to predict emotional regulation strategies of Iranian (Kurdish) nurses. By fostering these attributes, hospitals can improve their nurses' emotion regulation, ultimately enhancing patient care quality and patient satisfaction.

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Cite

BibTeXRIS
BibTeX
@article{rezaei2026predicting,
  title = {{Predicting emotional regulation strategies of Iranian nurses based on their social acceptance and self-control: A Cross Sectional Study}},
  author = {Shabbou Rezaei and Benyamin Hamid and Laila Ganji and Malek Amini and Marzieh Pashmdarfard},
  journal = {Journal of Holistic Nursing and Midwifery},
  year = {2026},
  month = sep,
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Predicting emotional regulation strategies of Iranian nurses based on their social acceptance and self-control: A Cross Sectional Study
AU  - Shabbou Rezaei
AU  - Benyamin Hamid
AU  - Laila Ganji
AU  - Malek Amini
AU  - Marzieh Pashmdarfard
PY  - 2026
DA  - 2026/09/01
JO  - Journal of Holistic Nursing and Midwifery
AB  - Introduction: Effective interpersonal communication is crucial in nursing, heavily influenced by emotional regulation, social acceptance, and self-control skills. These factors can significantly affect the quality of patient care and overall healthcare outcomes. Objective: This study aimed to predict emotional regulation strategies of Iranian nurses based on their social acceptance and self-control. Materials and Methods: This is a descriptive analytical study with a cross-sectional design that was conducted on 200 nurses from hospitals in Baneh, Kurdistan Province, Iran. Due to the limited number of employed hospital nurses in this county, a census sampling method was used. Data were collected using Gross and John’s Emotion Regulation Questionnaire (ERQ), Social Desirability Scale (SDS), and Tangney's Self-Control Scale (T-SCS). Statistical analysis was done using the Kolmogorov-Smirnov test, Pearson’s correlation test, Analysis of Variance (ANOVA), and multiple linear regression analysis. Results: The mean age of participants was 39±7.34 years (ranged 23-51 years) and majority of them were female (89%). Additionally, their mean work experience was 19 ± 8.12 years. The results revealed the significant positive correlation of social acceptance (r = 0.478, p =0.01) and self-control (r = 0.804, p =0.01) with emotional regulation. Multiple linear regression analysis indicated that both social acceptance (β = 0.84, 95%CI: 0.62-1.26, p= 0.01) and self-control (β= 0.728, 95%CI: 0.64-1.25, p= 0.01) were significant predictors of emotional regulation (R2 = 0.681). Conclusion: The findings underscore the ability of social acceptance and self-control to predict emotional regulation strategies of Iranian (Kurdish) nurses. By fostering these attributes, hospitals can improve their nurses' emotion regulation, ultimately enhancing patient care quality and patient satisfaction.
SN  - 2588-3712
SN  - 2588-3720
ER  -