International Journal Of Health And Social Behavior
Vol. 3 No. 1 (2026): February: International Journal of Health and Social Behavior

Nosocomial Disease Risk Management Through the Opti-mization of Mental Health and Learning Capacity among Health Education Students

Agustina Bangun (Unknown)
Luthfiah Mawar (Unknown)
M. Agung Rahmadi (Unknown)
Helsa Nasution (Unknown)
Nurzahara Sihombing (Unknown)
Sarah Milah Ulfa Tanjung (Unknown)



Article Info

Publish Date
25 Feb 2026

Abstract

This meta-analytic study aims to comprehensively examine the relationship between mental health, learning capacity among health education students, and competencies in nosocomial disease risk management through cross-contextual empirical synthesis. An analysis of 47 studies involving 12,847 participants from 15 countries demonstrates a strong, statistically significant association between students' mental health and competencies in nosocomial infection prevention, as reflected by a correlation coefficient of r=0.68 (p<0.001) and a 95% confidence interval of 0.61-0.74. Students with high mental health scores (M=78.4; SD=8.2) exhibited substantially superior understanding of infection prevention protocols, namely 43% higher than the control group (M=54.7; SD=12.1; t(846)=18.42; p<0.001; d=2.31). Structural equation modeling confirmed learning capacity as a significant partial mediator (β=0.52; p<0.001), with an indirect effect reaching 35.4% and a 95% CI range of 28.6-42.1%. Mindfulness-based psychoeducational interventions were shown to enhance nosocomial risk identification abilities by 38.7% (F(2,564)=42.18; p<0.001; η²=0.41) while reducing clinical anxiety by 31.2% (t(382)=9.84; p<0.001). These findings extend the frameworks proposed by Song (2024) and Schutte et al. (2025), which primarily emphasize cognitive aspects, by demonstrating that the integration of psychological dimensions yields a multidimensional predictive model explaining 64.3% of the variance in risk management competence (R²=0.643; F(5,841)=304.76; p<0.001), surpassing conventional models that account for only 38-45% of the variance.

Copyrights © 2026






Journal Info

Abbrev

IJHSB

Publisher

Subject

Health Professions Nursing Public Health

Description

health professionals, pharmacists, doctors and nurses, policy makers, health workers, lecturers and students who are interested in publication science related to Health ...