Document Type : Original Article

Authors

Departments of Health Education and Promotion and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran

Abstract

INTRODUCTION: Employed women experience a wide range of stresses that will potentially impact
on their quality of life, mental status, and marital satisfaction. The aim of this study was to determine
the relationship between the above components in employed women.
METHODS: The statistical population of this cross‑sectional descriptive‑analytical study
was 124 married employed women of Khorramabad Health Center. The WHO Standard
Questionnaire (SF‑36), Perceived Stress Questionnaire (COHEN questionnaire), Marital Satisfaction
Questionnaire (ENRICH questionnaire 47), and Demographic Information Questionnaire were used
to collect data. Information was analyzed by SPSS software.
RESULTS: Most of the participants in the research had a good (45/2%) and very good (34/7%)
quality of life. Most of them reported high (57/1%) and very high (15/3%) levels of marital satisfaction.
Furthermore, the majority of women participating in the study had a low level (64/5%) of perceived
stress. There was a significant inverse correlation between perceived stress and marital satisfaction
(r = −0/446, P < 0.001) and quality of life (r = −0/612, P < 0.05). There was a direct correlation between
marital satisfaction and quality of life (r = −0/449, P < 0.05). Linear regression analysis showed that
the importance of quality of life and perceived stress scores, respectively, were significant predictors
of marital satisfaction score. There was no statistically significant correlation between the total score
of quality of life and marital satisfaction with demographic variables; only a weak relationship was
found between perceived stress and family monthly income (r = −0/184, P = 0/04).
CONCLUSION: The findings of this study indicate that quality of life and perceived stress can be
significant predictors of marital satisfaction in married employed women.

Keywords

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