Relationship between premenstrual syndrome and sleep quality among nursing and medical students

The relationship between premenstrual syndrome and personality traits in university students

OBJECTIVE

This study was conducted to determine the relationship between personality traits and premenstrual syndrome in university students.

METHOD

This cross-sectional study was conducted with 616 female university students between February and June 2020.

RESULTS

The Premenstrual Syndrome Scale score was determined as a mean of 125.40±25.41. According to linear regression analysis, extrovert/introvert personality traits, emotional balance/neuroticism, and consistent/inconsistent personality traits were statistically significant predictive factors of premenstrual syndrome.

CONCLUSION

The results of this study demonstrated that two-thirds of the students had premenstrual syndrome and personality traits affected premenstrual syndrome. It is recommended that attention should be paid to personality traits when coping with premenstrual syndrome.

Mediating effect of suicidal ideation in the association between child abuse and premenstrual syndrome among female adults

INTRODUCTION

Premenstrual symptoms encompass a range of physical, emotional, and behavioral changes that cyclically occur before menstruation. Childhood abuse has been associated with subsequent mental health challenges, yet its relationship with exacerbating premenstrual symptoms remains an understudied area. Furthermore, suicidal ideation often emerges from traumatic backgrounds such as child abuse, creating another layer of complexity. Given the rising suicide rates in Lebanon, and the concurrent increase in reported child abuse cases, this research focuses on the role of suicidal ideation as a mediator between child abuse and premenstrual syndrome.

METHODS

This cross-sectional study involved 915 female university students in Lebanon. Participants completed an online questionnaire encompassing demographic details, health lifestyle, the Premenstrual Symptoms Screening Tool (PSST), Columbia-Suicide Severity Rating Scale (C-SSRS), and Child Abuse Self Report Scale (CASRS-12). The mediation analysis was conducted using PROCESS MACRO v3.4 model 4; three pathways derived from this analysis: pathway A from the independent variable to the mediator, pathway B from the mediator to the dependent variable, Pathway C indicating the direct effect from the independent to the dependent variable.

RESULTS

The results of the mediation analysis showed that suicidal ideation mediated the association between all types of child abuse and the presence of PMS. Higher psychological (Beta = 0.21; p < 0.001), neglect (Beta = 0.02; p = 0.017), physical (Beta = 0.19; p < 0.001) and sexual (Beta = 0.20, p < 0.001) child abuse were significantly associated with higher suicidal ideation, which was significantly associated with the presence of PMS (Beta = 0.38, p = 0.001; Beta = 0.57, p < 0.001; Beta = 0.45, p < 0.001; and Beta = 0.50, p < 0.001) respectively. Finally, higher psychological (Beta = 0.17, p < 0.001), physical (Beta = 0.11, p = 0.024), but not sexual (Beta = 0.07, p = 0.198) child abuse was directly and significantly associated with the presence of PMS, whereas higher neglect (Beta = -0.06, p = 0.007) was significantly associated lower odds of having PMS.

CONCLUSION

This study highlights the mediating role of suicidal ideation in the complex association between different types of childhood abuse and premenstrual symptoms. The findings emphasize the need for trauma-informed care and tailored interventions to address the diverse impact of these factors. Recognizing the intricate relationships between child abuse, suicidal ideation, and PMS can aid healthcare providers in comprehensively addressing young women's mental and reproductive well-being. Trauma-informed care, tailored interventions and awareness of potential connections between childhood maltreatment are essential in managing these complex challenges.

Identifying predictors of patient safety competency based on sleep quality in student faculty of nursing and midwifery during the internship period: a multidisciplinary study

BACKGROUND

Ensuring patient safety is of paramount importance in healthcare services. Sleep disorders not only have detrimental effects on the health of healthcare students but also significantly impair their performance, leading to an increased risk of medication errors. These errors can pose a grave threat to the safety and well-being of patients. It is crucial to address and mitigate sleep disorders among internship healthcare students to safeguard the quality of care and minimize potential patient harm.

OBJECTIVES

This study aimed to investigate the predictors of Patient Safety Competency (PSC) based on the sleep quality of internship healthcare students.

METHODS

A study was conducted on 331 students from the Ardabil School of Nursing and Midwifery at Ardabil University of Medical Sciences in northwest Iran from August to December 2022. The participants were selected by stratified random sampling. Data were collected using a demographic information form, the Pittsburgh Sleep Quality Index (PSQI), and the Health Professional Education in Patient Safety Survey (H-PEPSS). The collected data were analyzed using SPSS software version 22.0. Person correlation coefficients were used to examine the relationship between PSC level, its dimensions, and sleep quality, while multiple linear regression was conducted to identify the predictors of PSC.

RESULTS

The competency of nurses in patient safety was average in both classroom and clinical settings. However, their ability to work as a team with other healthcare professionals scored the lowest. In addition, the quality of sleep was found to be a predictor of patient safety competency among healthcare students during their internships.

CONCLUSIONS

It is important to note that healthcare students tend to have moderate patient safety competence (PSC), which is positively correlated with their sleep quality. Therefore, it is vital to identify the key factors that directly affect PSC. This would enable nursing and midwifery faculty administrators to take preventive measures to enhance patient safety competence in both classroom and clinical settings. Additionally, organizing educational workshops that engage students and improve their sleep quality could improve patient care. Practical courses are recommended for health professionals and students in clinical settings to enhance patient safety competencies. Additionally, student internships should receive hands-on training to improve teamwork and rest conditions.

Perception of benefits-barriers of exercise, physical activity level, and body awareness in women with premenstrual syndrome

INTRODUCTION

The study aims to investigate the relationship between premenstrual syndrome (PMS) and physical activity, body awareness, and the benefits/barriers to exercise (a), as well as to compare women with and without PMS in relation to these parameters (b).

MATERIALS AND METHODS

Participants were administered The Premenstrual Syndrome Scale (PMSS), International Physical Activity Questionnaire-Short Form (IPAQ-SF), Body Awareness Questionnaire, and The Exercise Benefits/Barriers Scale.

RESULTS

The age range of the participants included in the study was 19-48, with a mean age of 26.45 ± 7.14. A statistically significant difference was found between the women with and without PMS in terms of PMSS score, exercise benefits subscale score, and exercise barriers subscale score (p < 0.05). The results indicated that there was a significant positive correlation between PMSS score and exercise barriers subscale score (p < 0.05). There was a significant positive correlation between IPAQ score and body awareness questionnaire, exercise benefits subscale score, total score of exercise benefits and barriers of scale (p < 0.05). There was a significant negative correlation between IPAQ score and exercise barriers subscale score (p < 0.05). There was a significant positive correlation between body awareness questionnaire score and exercise benefits subscale score, total score of exercise benefits and barriers of scale (p < 0.05). There was a significant negative correlation between body awareness questionnaire score and exercise barriers subscale score (p < 0.05).

CONCLUSION

This study provide valuable insights into the relationship between PMS, physical activity, body awareness, and exercise benefits/barriers among women. By addressing the barriers and benefits to exercise and enhancing body awareness, healthcare professionals can potentially improve women's with PMS overall well-being and encourage them to adopt and maintain a physically active lifestyle.

The Menstrual Cycle and Sleep

Aspects of sleep change across the menstrual cycle in some women. Poorer sleep quality in the premenstrual phase and menstruation is common in women with premenstrual symptoms or painful menstrual cramps. Although objective sleep continuity remains unchanged across the regular, asymptomatic menstrual cycle, activity in the sleep electroencephalogram varies, with a prominent increase in sleep spindle activity in the postovulatory luteal phase, when progesterone is present, relative to the follicular phase. Menstrual cycle phase, reproductive stage, and menstrual-related disorders should be considered when assessing women's sleep complaints.

Investigating influencing factors on premenstrual syndrome (PMS) among female college students

BACKGROUND

Premenstrual syndrome (PMS) affects women's physical and mental health. Depression, stress, sleep disturbance, and eating attitude problems have been known to influence PMS. Furthermore, restrictions of daily life due to the COVID-19 pandemic have led to changes in sleep patterns and eating attitudes. Thus, it is necessary to closely examine how these factors affect PMS. This study aimed to examine the levels of PMS, stress, depression, sleep disturbance, and eating attitude problems among female college students who experience dysmenorrhea and determine the factors associated with PMS.

METHODS

A cross-sectional online survey design was conducted using a convenience sample of 143 female college students in C City, South Korea. Data were collected from September 1 to 19, 2021 in South Korea using an online self-administered survey. Differences in participants' level of PMS according to physical health variables (e.g., smoking, water intake, menstrual pain intensity) and psychological issues (i.e., stress, depression, sleep disturbances, and eating attitude problems) were assessed with independent sample t-tests and one-way ANOVAs. Correlational analyses between these variables were also conducted. Additionally, multiple regression was performed to identify the factors influencing PMS.

RESULTS

PMS severity was between normal (27.3%) and premenstrual dysphoric disorder (PMDD) (72.7%). PMS was associated positively with depression (r = .284, p = 001), stress (r = .274, p = .001), sleep disturbance (r = .440, p < .001), and eating attitude problems (r = .266, p = .001). Additionally, menstrual pain intensity (β = 0.204), sleep disturbances (β = 0.375), and eating attitude problems (β = 0.202) were found to influence PMS. The regression model was significant (F = 16.553, p < .001) with an explanatory power of 24.7%.

CONCLUSIONS

Considering the influencing factors of PMS identified in this study, interventions for participants experiencing PMS should be made. We propose that further study should be conducted to examine whether the severity of PMS changes according to menstrual pain, the pattern and degree of its change, and the paths through which sleep quality and eating attitude problems affect PMS.

Development and validation of risk prediction model for premenstrual syndrome in nurses: results from the nurses-based the TARGET cohort study

Objective

Premenstrual syndrome (PMS) stands as a significant concern within the realm gynecological disorders, profoundly impacting women of childbearing age in China. However, the elusive nature of its risk factors necessitates investigation. This study, therefore, is dedicated to unraveling the intricacies of PMS by focusing on nurses, a cohort with unique occupational stressors, to develop and validate a predictive model for assessing the risk of PMS.

Methods

This investigation employed a multi-center cross-sectional analysis drawing upon data from the TARGET Nurses' health cohort. Utilizing online survey versions of the Premenstrual Syndrome Scale (PMSS), a comprehensive dataset encompassing physiological, social, psychological, occupational, and behavioral variables was collected from 18,645 participants. A stepwise multivariate logistic regression analysis was conducted to identify independent risk factors for PMS. Furthermore, a refined variable selection process was executed, combining the Least Absolute Shrinkage and Selection Operator (LASSO) method with 10-fold cross-validation. The visualization of the risk prediction model was achieved through a nomogram, and its performance was evaluated using the C index, receiver operating characteristic (ROC) curves, and the calibration curves.

Results

Among the diverse variables explored, this study identified several noteworthy predictors of PMS in nurses, including tea or coffee consumption, sleep quality, menstrual cycle regularity, intermenstrual bleeding episodes, dysmenorrhea severity, experiences of workplace bullying, trait coping style, anxiety, depression and perceived stress levels. The prediction model exhibited robust discriminatory power, with an area under the curve of 0.765 for the training set and 0.769 for the test set. Furthermore, the calibration curve underscored the model's high degree of alignment with observed outcomes.

Conclusion

The developed model showcases exceptional accuracy in identifying nurses at risk of PMS. This early alert system holds potential to significantly enhance nurses' well-being and underscore the importance of professional support.

Menstrual disturbances and its association with sleep disturbances: a systematic review

BACKGROUND

Menstrual disturbances harm women's health, and general well-being. As growing evidence highlights the relationship between sleep and menstrual disturbances, it is imperative to comprehensively examine the association between sleep and menstrual disturbance considering the multiple dimensions of sleep. This systematic review aims to identify the association between sleep and menstrual disturbances by evaluating using Buysse's sleep health framework.

METHODS

A comprehensive search of the literature was conducted in PubMed, EMBASE, psychINFO, and CINAHL to identify publications describing any types of menstrual disturbances, and their associations with sleep published between January 1, 1988 to June 2, 2022. Quality assessment was conducted using the Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies. The findings were iteratively evaluated menstrual disturbances and their association with sleep using Buysse's sleep health framework. This framework understands sleep as multidimensional concept and provides a holistic framing of sleep including Satisfaction, Alertness during waking hours, Timing of sleep, Efficiency, and Sleep duration. Menstrual disturbances were grouped into three categories: premenstrual syndrome, dysmenorrhea, and abnormal menstrual cycle/heavy bleeding during periods.

RESULTS

Thirty-five studies were reviewed to examine the association between sleep and menstrual disturbances. Premenstrual syndrome and dysmenorrhea were associated with sleep disturbances in sleep health domains of Satisfaction (e.g., poor sleep quality), Alertness during waking hours (e.g., daytime sleepiness), Efficiency (e.g., difficulty initiating/maintaining sleep), and Duration (e.g., short sleep duration). Abnormal menstrual cycle and heavy bleeding during the period were related to Satisfaction, Efficiency, and Duration. There were no studies which investigated the timing of sleep.

CONCLUSIONS/IMPLICATIONS

Sleep disturbances within most dimensions of the sleep health framework negatively impact on menstrual disturbances. Future research should longitudinally examine the effects of sleep disturbances in all dimensions of sleep health with the additional objective sleep measure on menstrual disturbances. This review gives insight in that it can be recommended to provide interventions for improving sleep disturbances in women with menstrual disturbance.

Investigation of coping behaviors and premenstrual syndrome among university students

This study aims to examine premenstrual syndrome (PMS) in university students and their coping behaviors. 452 female students were included in this descriptive and correlational study. The data were collected using a descriptive information form, the Premenstrual Syndrome Scale (PMSS), and the Premenstrual Change Coping Inventory (PMS-Cope). PMS symptoms were found in 80.5% of students. Seeking positive affect-inducing activities to cope with PMS was found to be a significant predictor of reducing the severity of PMS (β =-0.265, p < .001). In coping with PMS, it is necessary to consider the perceptions of taking medication, seeking social support, or seeking positive affect-inducing activities as a coping method to determine the social and cultural beliefs of university students and control PMS. PMS is a significant health problem and raising awareness of the issue alone may not be enough. It should also be noted that the severity of PMS can vary markedly between ethnic groups, and women's strategies for coping with symptoms and their effectiveness may differ between cultures. It is pivotal to develop strategies for university students to cope with PMS and provide personalized care.