The Impact of Sleep Quality and Socioeconomic Factors on Emotional Intelligence Among Young Women in Jordan

The current study investigates the factors predicting EI among women in Jordan. The study included 315 healthy women aged 18–45 years without ongoing health conditions. An assessment of sleep quality was performed using the Pittsburgh Sleep Quality Index (PSQI) while Trait Meta-Mood Scale (TMMS) was used to assess EI. Multiple linear regression reveals that, among all factors included in the model, only total sleep score (p<0.03), income (p<0.04), and education (p<0.04) are associated with EI. Furthermore, ANOVA revealed a significant effect of education level (P<0.001) for TMMS. An additional one-way ANOVA reveals a main effect (p<0.001) for TMMS according to monthly income. Also, a Pearson product-moment correlation analysis demonstrated an association (r = −.17, p = .002) between sleep quality and TMMS scores. Higher global PSQI scores indicate poorer sleep quality. An additional independent sample t-test reveals a greater (p<0.010) TMMS score in the participants with good versus poor sleep quality. The findings of this study demonstrate that educational level, monthly income, and sleep quality are significant predictors of emotional intelligence. It is important to consider lifestyle and socioeconomic factors when designing interventions to enhance EI.