Emotion regulation as mediator between information and technological factors and self-esteem among nursing students: A structural equation model

Abstract

Background: Several factors influence nursing students' self-esteem. Emotion regulation is moderator between individual factors, social factors, information and technology and self-esteem. The aim of this research was to analyze emotion regulation as moderator between individual factor, social factor, information and technology factor and self-esteem.

Methods: This study used quantitative with explanatory methods with a cross ectional design. The variable in the study were individual factor variables (X1), social factors (X2), and information technology factors (X3) on Self-esteem (Y) through the mediator emotion regulation (Z). The target population in this study were nursing students in Mojokerto Regency, Indonesia. Total sample in this study was 216 nursing students. inclusion criteria were: undergraduate nursing students, social media users, and willing to be respondents. The study utilized self-report questionnaires to collect data. Data were analyzed using the Structural Equation Modeling - Partial Least Square. It was used to analyze inner model (the effect between variables). We used a t-statistic value (t>1.96) and the direction was measured using path coefficient.

Results: Most of the respondents in this study were female students (83.3%), aged 18 to 21 years (91.2%).  Emotion regulation was influenced by individual factors and information and technology factor (t>1.96). Emotion regulation was mediator between information technology and self-esteem (t: 7.327, Path coefficient: 0.544).

Conclusion: Effective emotion-regulation is essential for managing information and technology factors to enhance self-esteem among nursing students. By regulating social media exposure, improving social media literacy, and controlling access to social media, emotion-regulation can positively influence the development of self-esteem.