%0 Journal Article %T The Effectiveness of Treatment Based on Acceptance and Commitment on Anxiety, Quality of Life and Self-Efficacy in Women with Premenstrual Syndrome %J nursing development in health %V 7 %N 2 %U http://ndhj.lums.ac.ir/article-1-140-en.html %R %D 2016 %K Treatment based on acceptance and commitment, Anxiety, Quality of life, Self-efficacy, Premenstrual syndrome., %X Background & Aim: Premenstrual syndrome is one of the most common disorders in childbearing age which has a negative effect on women's emotions and performance; it includes a group of symptoms that begins one to two weeks before menstruation. In some women, the symptoms are severe enough which cause disruption in their life. This study aims to examine the effectiveness of treatment based on acceptance and commitment on anxiety, quality of life and self-efficacy in women with premenstrual syndrome. Material & Methods: This is a semi-experimental study. 30 out of 100 patients referred to Tehran Eqbal maternity Hospital in 2016 selected randomly in intervention group (n=15) and control group (n=15). The intervention group was under the treatment of a therapeutic group for twelve (90-minute) sessions based on acceptance and commitment. Survey tools included questionnaires of Beck Anxiety, Sherer General Self-Efficacy, and SF36 Quality of Life which were completed by research units before and after the test. Findings were analyzed using SPSS software (version 19) and descriptive as well as inferential statistical methods. Results: After the intervention, anxiety, quality of life and self-efficacy significantly decreased in the intervention group (P=0/00). And there were significant differences in premenstrual syndrome in intervention group at the end of study (P <0/05). Conclusion: The results of this study showed that treatment based on acceptance and commitment on anxiety, quality of life and self-efficacy is effective in women with PMS. %> http://ndhj.lums.ac.ir/article-1-140-en.pdf %P 27-35 %& 27 %! %9 Research %L A-10-1-88 %+ %G eng %@ %[ 2016