Abstract
Purpose
The purpose of this study was to investigate factors which effect clinical nurses' exhaustion.
Methods
This research was conducted targeting 140 clinical nurses. Data were collected from 18 September to 30 September 2015. Data were analyzed using the program SPSS/WIN 18.0. Descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and Stepwise multiple regression analysis were used.
Results
Burnout was significantly different by age (F=7.99, p=.001), marital status (t=8.69, p=.004), department area (F=7.65, p<.001), frequency of night work in a month (F=7.65, p=<.001), and clinical career (F=3.68, p=.028). There was positive correlations between menstrual attitudes of participants and premenstrual syndrome (r=34, p<.001), menstrual attitudes and stress (r=.40, p<.001), and menstrual attitudes and burnout (r=.16, p=.031). There were positive correlations between premenstrual syndrome and stress (r=.46, p<.001), between premenstrual syndrome and burnout (r=.35, p<.001), and between stress and burnout (r=.36, p<.001). Factors influencing burnout were premenstrual syndrome (β=.335) and age (β=.216), with an explanatory power of 18.0%.
Figures and Tables
Table 1
Table 2
Variables | Min | Max | Range | M±SD |
---|---|---|---|---|
Menstrual attitude | 34 | 108 | 21~147 | 72.53±14.03 |
Premenstrual syndrome | 50 | 161 | 47~235 | 119.76±23.20 |
Stress | 24 | 88 | 22~110 | 56.35±17.09 |
Burnout | 31 | 91 | 22~110 | 64.22±14.13 |
Summary Statement
▪ What is already known about this topic?
Burnout is significant problem for clinical nurses. Menstrual attitude and pre-menstrual syndromes can influence burnout for nurses. But there is paucity of studies on the effects of menstruation that impact clinical nurses ability to perform at the optimum.
▪ What this paper adds?
Menstrual attitude and pre-menstrual syndrome were related with stress and burnout for clinical nurses.
▪ Implications for practice, education and/or policy
Menstrual attitude and premenstrual syndrome should be thoroughly assessed with program development for reducing clinical nurses' premenstrual syndrome.
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