Premenstrual Symptoms and Work: Exploring Female Staff Experiences and Recommendations for Workplaces

Relationships between Premenstrual Syndrome (PMS) and Diet Composition, Dietary Patterns and Eating Behaviors

Premenstrual Syndrome (PMS) is a disorder between gynecology and psychiatry which includes cognitive, affective, and somatic symptoms from mild to severe. The most severe form of PMS is premenstrual dysphoric disorder (PMDD) and it is considered a form of depressive disorder. An association between diet composition and the occurrence of PMS and its severity have been suggested. As such, this manuscript discusses the relationships between diet composition, dietary patterns and eating behaviors, and PMS. PubMed, Embase, Cochrane, and Web of Science databases were searched for related studies up to 18 January 2024. A text search with the following keywords singly or in combination was conducted: "Premenstrual syndrome", "Nutrition", "Diet composition", "Dietary patterns", and "Eating behaviors". Studies published so far showed that low intake of simple carbohydrates, fats, salt, and alcohol, and high of fresh, unprocessed foods rich in B vitamins, vitamin D, zinc, calcium, and omega-3 fatty acids may help prevent the onset of PMS and reduce the severity of its symptoms. However, further studies are needed to formulate definitive recommendations for the use of vitamins, micronutrients and other dietary ingredients supplementation in women with PMS to improve functioning, overall well-being, and physical health. Large, randomized, double-blind clinical trials across diverse populations are necessary to formulate clear recommendations for supplementation in women with PMS.

Turkish validity and reliability of the Premenstrual Change Coping Inventory

OBJECTIVE

This study was conducted to investigate the validity and reliability of the Turkish version of the Premenstrual Change Coping Inventory (PMS-Cope).

METHODS

A total of 170 women who met the inclusion criteria were included in the methodological study. Data were collected between the dates of November 5, 2018 and May 5, 2019 with personal information form, PMS-Cope Turkish version, and Premenstrual Syndrome Scale.

RESULTS

The PMS-Cope was obtained through the translation-back translation method and the content validity was obtained according to expert opinions. After the factor analysis, the Turkish version of the PMS-Cope consisted of three sub-dimensions as in the original scale. The factor loadings of the three-dimensional scale ranged from 0.46 to 0.84, and the explained variance (60.329%) was at the desired level. As a result of structural equation modeling; ×2/SD values of the scale were found to be 4.19, GFI 0.93, AGFI 0.91, CFI 0.95, RMSEA 0.079, and SRMR 0.082, and this scale was acceptable. The Cronbach alpha coefficient of the PMS-Cope was 0.86. It was determined that item-total score correlations were higher than 0.30 in all items of PMS-Cope and there was no need to remove items from the scale. When the mean scores of the lower 27% and upper 27% of the scale were compared, a statistically significant difference was found between the groups (p < 0.05). The PMS-Cope score was 41.04 ± 8.99.

CONCLUSION

It was determined that the Turkish version of the PMS-Cope was a valid and reliable measurement tool.

How does women's health matter? A qualitative study on women's health issues in relation to work participation. Experiences and perspectives from nurses and managers in a Norwegian hospital

In this article, we explore associations between women's health and participation in working life, work ability and sickness absence. Through interviews with nurses and hospital managers, we identified three main occupational barriers connected to biological and physiological sex differences: considerations on women's health, work organization and work environment as conditions for health, and equality and expectations in society. We find that individual experiences, job systems, and societal attitudes affect each other negatively, and that systemic problems tend to be individualized. The lack of recognition of women's health affects work participation, work ability and sickness absence in women, representing a challenge to female occupational health, as well as to gender equality and public health in general.

A cross-sectional study of the relationship between premenstrual syndrome and missed nursing care among female nursing staff

Purpose

Premenstrual syndrome (PMS) is a cyclical psychosomatic disorder prevalent among women of reproductive age. However, research on the potential impact of PMS on routine nursing schedules and activities is limited. This study aims to identify the prevalence of PMS among female nursing staff and to examine the relationship between PMS and missed nursing care (MNC).

Method

Between November 1, 2022, and April 30, 2023, this study was conducted among female nursing staff working in nine inpatient departments at Sun Yat-sen University Cancer Center. This study used a cross-sectional design. The participants were recruited through convenience sampling. Data were collected using the standardized Menstrual Distress Questionnaire, the Oncology Missed Nursing Care self-rating scale, and a sociodemographic questionnaire. One-way analysis of variance, Fisher's least significant difference test for post-hoc comparisons, and Spearman's correlation coefficient were utilized for data analysis. A trend test was also performed to explore patterns in the severity of PMS and MNC over time.

Results

We collected a total of 224 questionnaires, with 154 (68.7%) female nursing staff reporting PMS. The most common symptoms were low back pain (91.1%), abdominal discomfort (90.6%), cold hands and feet (87.1%), and lethargy (87.1%). Moreover, 91.5% of the 224 female nursing staff reported at least one MNC activity. The nursing activities most frequently missed or left incomplete were liquid intake and output monitoring as ordered (43.3%), medication administration within 30 min before or after the scheduled time (43.3%), and electrocardiogram monitoring as ordered (42.9%). "Abdominal discomfort" from the Menstrual Distress Questionnaire was significantly correlated with the majority of MNC activities (p < 0.001).

Conclusions

This study provides evidence for a strong association between PMS and MNC among female nursing staff, suggesting that administrators should take the premenstrual conditions of female nursing staff into consideration. It is necessary to provide appropriate understanding and support to mitigate the impact on patient care and safety.

Premenstrual Syndrome's Impact on Work-Related Quality of Life Among Jordanian Nurses

Introduction Premenstrual syndrome (PMS) is a regular clinical condition that affects most women during their reproductive years. Its related symptoms may be linked to a decrease in women's quality of life. Female nurses may be more susceptible to PMS due to the demanding nature of their job. The importance of nurses' jobs and how their quality of life will affect patients and themselves in parallel make female nurses a population that is worth investigating. Our objective is to estimate the level of PMS among Jordanian nurses and assess the potential impact of PMS on work-related quality of life among them. Methods A cross-sectional study was conducted on 210 nurses who completed a questionnaire regarding demographic data, menstrual characteristics, the Premenstrual Symptoms Screening Tool (PSST), and the Work-Related Quality-of-Life Scale (WRQoL). The nurses were classified as having or not having PMS according to the PSST. Results The prevalence of PMS was 60.5%, the results showed a significantly lower mean WRQoL score for nurses with PMS (mean = 65.47, SD = 15.38) compared to nurses without PMS (mean = 70.54, SD = 14.47). The multivariable regression model revealed that the adjusted odds ratios for age, combined oral contraceptive pill (COCP) use, family history, severe dysmenorrhea, job and career satisfaction, and stress at work were 0.90 (95% CI = 0.84, 0.96), 5.18 (95% CI = 1.33, 20.17), 2.52 (95% CI = 1.23, 5.18), 11.78 (95% CI = 2.48, 56.02), 0.92 (95% CI = 0.85, 0.99), and 1.20 (95% CI = 1.01, 1.42), respectively. Conclusion PMS is quite prevalent among Jordanian nurses, with a negative impact on their work-related quality of life. Healthcare managers might implement special regulations for female nurses with PMS to improve their work-related quality of life. This research suggests that PMS is a substantial factor in the low work-related quality of life among Jordanian nurses.

The impact of premenstrual disorders on work disruptions among working women: A cross-sectional study

Background

Physical and emotional manifestations of premenstrual disorder cause increased absenteeism, decreased productivity, and decreased work-related quality of life.

Objective

Due to the relatively high prevalence of premenstrual disorders in Iran and limited studies on its work-related problems, this study investigated the relationship between premenstrual disorders and work performance in working women.

Materials and Methods

This cross-sectional study was conducted on 358 working women (teachers and industrial workers) in Yazd, Iran, from July 2019 to January 2020. Data were collected using premenstrual symptom screening tool, the work productivity and activity impairment (a modified version), and functional work capacity questionnaires. Women were classified into 2 groups: women with and without premenstrual disorders. Productivity, functional capacity, and ability to perform activities of daily living were compared between groups.

Results

Among 358 participants, 121 women (33.8%) had premenstrual disorders. The prevalence of premenstrual disorders was significantly higher in teachers than workers (0.41% vs. 24.7%, respectively) (p = 0.002). The work results showed a worse score in the group with premenstrual disorder than the other group and teachers compared to workers (p < 0.001).

Conclusion

This study showed a significant association between premenstrual disorders and worse work productivity, functional work capacity, and ability to perform activities of daily living. Teachers had a higher prevalence of premenstrual disorders and worse work performance than workers, which can be due to higher education levels, work stress, more complex tasks, and increased work responsibility in teachers.

Menopause at work-An organisation-based case study

AIM

The aim of the study was to explore and understand the organizational culture of a workplace in terms of support and well-being for staff experiencing perimenopausal and menopausal symptoms at work.

DESIGN

It is widely acknowledged that perimenopause and menopause symptoms are experienced by a large percentage of the female workforce. There is a lack of research into how nurses are supported through menopause (Cronin et al. Issues in Mental Health Nursing, 42, 2021, 541-548). The perimenopause and menopause transition can be a challenging time where many may require symptom management and support (RCN, The Menopause and Work: Guidance for RCN Representatives, 2020). This paper presents a case study research (CSR) approach to examine one healthcare organization.

METHODS

CSR design was used: A survey distributed to all staff employed, a review of the available documentation on menopause and interviews with managers from different levels of the organization. The COREQ consolidated criteria was used for reporting the qualitative research reported this study.

RESULTS

The case study generated both quantitative and qualitative data using surveys, interviews and documentation. Data from the organization (n = 6905) showed a majority female workforce of 81.9% with 40.6% aged between 41 and 55 years old, meaning a third of the organization working through perimenopause and menopause. Survey responses (n = 167) collected biographical and psychometric data on the prevalence of perimenopausal and menopausal symptoms. Seven managers were interviewed highlighting two themes: Access to support and culture of menopause and 13 documents from the organization on menopause were analysed for content. The study design permitted an iterative approach to data collection and providing an in-depth understanding of the needs and support for those experiencing perimenopause and menopause. The findings help healthcare organizations to understand their workforce and take in to account the larger numbers of female employees particularly nurses with the need to provide person-centred support mechanisms and an organizational approach for all employees.

Scale development and validation of perimenopausal women disability index in the workplace

BACKGROUND

Menopausal disorders include obscure symptomatology that greatly reduce work productivity among female workers. Quantifying the impact of menopause-related symptoms on work productivity is very difficult because no such guidelines exist to date. We aimed to develop a scale of overall health status for working women in the perimenopausal period.

METHODS

In September, 2021, we conducted an Internet web survey which included 3,645 female workers aged 45-56 years in perimenopausal period. We asked the participants to answer 76 items relevant to menopausal symptomatology, that were created for this study and performed exploratory and confirmatory factor analyses for the scale development. Cronbach's alpha, receiver operating characteristic analysis, and logistic regression analysis were used to verify the developed scale.

RESULTS

Approximately 85% participants did not have menstruation or disrupted cycles. Explanatory factor analysis using the maximum likelihood method and Promax rotation identified 21 items with a four-factor structure: psychological symptoms (8 items, α = 0.96); physiological symptoms (6 items, alpha = 0.87); sleep difficulty (4 items, alpha = 0.92); human relationship (3 items, alpha = 0.92). Confirmatory factor analyses found excellent model fit for the four-factor model (RMSR = 0.079; TLI = 0.929; CFI = 0.938). Criterion and concurrent validity were confirmed with high correlation coefficients between each of the four factors, previously validated menopausal symptom questionnaire, and Copenhagen Burnout Inventory scales, respectively (all ps < 0.0001). The developed scale was able to predict absenteeism with 78% sensitivity, 58% specificity, and an AUC of 0.727 (95%CI: 0.696-0.757). Higher scores of each factor as well as total score of the scale were more likely to be associated with work absence experience due to menopause-related symptoms even after adjusting for Copenhagen Burnout Inventory subscales (all ps < 0.0001).

CONCLUSION

We found that the developed scale has high validity and reliability and could be a significant indicator of absenteeism for working women in perimenopausal period.

Testosterone and Prolactin Perturbations Possibly Associated with Reduced Levels of β-Arrestin1 in Mononuclear Leukocytes of Women with Premenstrual Dysphoric Disorder

Previously, we reported that a reduction in β-Arrestin1 protein levels in peripheral blood mononuclear leukocytes (PBMC) significantly correlated with the severity of depression symptoms in women with premenstrual dysphoric disorder (PMDD). This study aimed to determine whether the reduced premenstrual β-Arrestin1 protein levels were associated with changes in the regulator for late luteal phase progesterone secretion. The study participants (n = 25) were non-pregnant women between 18 and 42 years of age not taking any antidepressants or receiving therapy and experiencing the luteal phase of menstruation. ELISA determined the β-Arrestin1 protein in PBMC; testosterone and prolactin levels from the plasma were determined by radioimmunoassay. Reduced levels of β-Arrestin1 protein in women with Hamilton Rating Scale for Depression (HAM-D) scores above 19 were observed alongside significantly higher plasma testosterone and prolactin concentrations. Understanding the mechanism underlying the initiation of PMDD will allow for identification of a key perturbed metabolic enzyme that can serve as a target for drug development to ensure the alleviation of PMDD, which has been suggested earlier as a risk factor for developing major depressive disorders.

Characterization of pathogenic factors for premenstrual dysphoric disorder using machine learning algorithms in rats

We established a methodology using machine learning algorithms for determining the pathogenic factors for premenstrual dysphoric disorder (PMDD). PMDD is a disease characterized by emotional and physical symptoms that occurs before menstruation in women of childbearing age. Owing to the diverse manifestations and various pathogenic factors associated with this disease, the diagnosis of PMDD is time-consuming and challenging. In the present study, we aimed to establish a methodology for diagnosing PMDD. Using an unsupervised machine-learning algorithm, we divided pseudopregnant rats into three clusters (C1 to C3), depending on the level of anxiety- and depression-like behaviors. From the results of RNA-seq and subsequent qPCR of the hippocampus in each cluster, we identified 17 key genes for building a PMDD diagnostic model using our original two-step feature selection with supervised machine learning. By inputting the expression levels of these 17 genes into the machine learning classifier, the PMDD symptoms of another group of rats were successfully classified as C1-C3 with an accuracy of 96%, corresponding to the classification by behavior. The present methodology would be applicable for the clinical diagnosis of PMDD using blood samples instead of samples from the hippocampus in the future.

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.

Prevalence of premenstrual syndrome and its effect on quality of work life in working women in South India

Background

Premenstrual syndrome (PMS) is characterized by physical and affective symptoms that start during the luteal phase of the menstrual cycle and improve on the onset of the menstrual cycle. The estimated prevalence in India of PMS is found to be 43%, but most studies have been done on adolescent and college-going females. There is a dearth of studies in India done on PMS in working women.

Aims

The aim of this study is to estimate the prevalence of premenstrual syndrome in working women and determine its association with the quality of their work life.

Methods

A cross-sectional study was conducted in the city of Kochi and five different groups of professional women were included in the sample population. A total of 600 participants were analyzed for sociodemographic data, premenstrual syndrome using the premenstrual symptoms screening tool and quality of their work life using the work-related quality of life scale. Chi-square test was applied to find the association of categorical demographic parameters with premenstrual syndrome and with quality of work life in women satisfying the criteria for PMS.

Results

A total of 48% of the participants screened positive for PMS and 35% of working women with PMS had lower quality of work life (P < 0.001). Highest educational qualification, occupation, and sexual activity were significantly associated with PMS and with quality of work life in women with PMS.

Conclusion

There is a high prevalence of PMS in working women, which significantly affects their quality of work life. There is a need for further research in this area that can propel improvement in policies in the workplace to boost productivity and growth.

Sleep Quality in Women with Premenstrual Syndrome Is Associated with Metabolic Syndrome-Related Variables

In this study, we examined whether metabolic syndrome (MetS)-related variables are simultaneously affected by sleep quality, premenstrual syndrome (PMS) and dietary consumption. In this cross-sectional study, data for 307 premenopausal women were available. The results showed that women experiencing PMS had significantly lower sleep quality and were more depressed and anxious (p < 0.001 for all). After the subjects were divided into groups according to PMS, the effect of sleep quality on MetS-related variables or MetS components significantly differed; only among women who experienced PMS were poor sleepers significantly higher in waist circumference (p = 0.018) and diastolic blood pressure (p = 0.012) than good sleepers. Among the MetS components, abdominal obesity in women with poor sleep quality was approximately three (16.9% vs. 3.0%, p= 0.020) times more common than in those with good sleep quality. However, these findings were not observed among those who did not experience PMS. Poor sleepers among women experiencing PMS consumed 2.8 times more alcoholic drinks than good sleepers (p = 0.006). The MetS-related variables in Korean women experiencing PMS are associated with sleep quality, and these associations may be modified by dietary habits.

Agmatine prevents the manifestation of impulsive burying and depression-like behaviour in progesterone withdrawn female rats

Premenstrual dysphoric disorder (PMDD) is characterized by various physical and affective symptoms, including anxiety, irritability, anhedonia, social withdrawal, and depression. The present study investigated the role of the agmatinergic system in animal model of progesterone withdrawal in female rats. Chronic progesterone exposure of female rats for 21 days and its abrupt withdrawal showed enhanced marble burying, increased immobility time, and reduced no. of entries in open arm as compared to control animals. The progesterone withdrawal-induced enhanced marble burying anxiety and immobility time was significantly attenuated by agmatine (5-20 mg/kg, i.p.), and its endogenous modulators like L-arginine (100 mg/kg, i.p.), amino-guanidine (25 mg/kg, i.p.) and arcaine (50 mg/kg, i.p.) by their once-daily administration from day 14-day 21 of the protocol. We have also analysed the levels of agmatine, progesterone, and inflammatory cytokines in the hippocampal region of progesterone withdrawn rats. There was a significant decline in agmatine and progesterone levels and an elevation in cytokine levels in the hippocampal region of progesterone withdrawn rats compared to the control animals. In conclusion, the present studies suggest the importance of the endogenous agmatinergic system in progesterone withdrawal-induced anxiety-like and depression-like behaviour. The data also projects agmatine as a potential therapeutic target for the premenstrual dysphoric disorder.

Effects of Yoga for Coping with Premenstrual Symptoms in Taiwan-A Cluster Randomized Study

Home-based yoga practice has not been approved as a method for alleviating premenstrual symptoms in Taiwan. This study was a cluster randomized trial. A total of 128 women self-reporting at least one premenstrual symptom were enrolled in the study, of which there were 65 participants in the experimental group and 63 participants in the control group. Women in the yoga group were provided with a yoga DVD program (30 min) to practice for three menstrual months, at least three times a week. All participants were given the Daily Record of Severity of Problems (DRSP) form to measure premenstrual symptoms. After the yoga exercise intervention, the yoga group had statistically significantly fewer and/or less severe premenstrual depressive symptoms, physical symptoms, and anger/irritability. Other disturbances and the impairment of daily routine, hobbies/social activities, and relationships also occurred significantly less often in the yoga group. The study found that yoga is useful to relieve premenstrual symptoms. Moreover, home-based yoga practice is more pertinent in the pandemic era. The strengths and drawbacks of the study are discussed and further study is recommended.

Effect of transcranial direct current stimulation on homeostatic and hedonic appetite control and mood states in women presenting premenstrual syndrome across menstrual cycle phases

PURPOSE

This study investigated the acute effect of anodal transcranial direct current stimulation (a-tDCS) over the left dorsolateral prefrontal cortex (DLPFC) on appetite, energy intake, food preferences, and mood states in the luteal and follicular phases of the menstrual cycle in women presenting premenstrual syndrome.

METHODS

Sixteen women (26.5 ± 5.2 years; 1.63 ± 0.1 m; 64.2 ± 12.8 kg; body mass index 24.0 ± 5.0 kg/m²; body fat 27.6 ± 7.5%) with the eumenorrheic menstrual cycle were submitted to a-tDCS and sham-tDCS conditions over their follicular and luteal phases. At pre - and post-tDCS, hunger and desire to eat something tasty, (analogic visual scale), the profile of mood states (POMS), and the psychological components of food preferences (Leeds Food Preference Questionnaire-BR) were assessed. Participants recorded their food intake for the rest of the day using a diary log.

RESULTS

There was a trend towards main effect of condition for decreased implicit wanting for low-fat savory food after a-tDCS but not sham-tDCS regardless of menstrual cycle phase (p = 0.062). There was no effect for self-reported hunger, desire to eat, energy and macronutrient intake, and on other components of food preferences (explicit liking and wanting for low- and high-fat savory and sweet foods, implicit wanting for low- and high-fat sweet and high-fat savory food); as well as for mood states.

CONCLUSIONS

Although no significant effects of a-tDCS were found, the present investigation provides relevant perspectives for future studies.

Impact of Premenstrual Syndrome Symptoms on Sport Routines in Nonelite Athlete Participants of Summer Olympic Sports

PURPOSE

Most women during their lifetime experience a combination of premenstrual syndrome (PMS) symptoms (eg, menstrual cramps) before and often to the end of menstruation. However, the impact of these symptoms on sport routines (eg, performance, training absence) during phases around menstruation is still unclear. Therefore, we investigated the impact of PMS symptoms on sport routines among nonelite athletes over 3 phases related to menstruation.

METHODS

An online questionnaire was developed to recruit nonelite female athletes who participate in summer Olympic sports. Participants were allocated into 2 groups: those who experienced mild to moderate PMS symptoms (no-PMS) and those with severe PMS symptoms (p-PMS). Two hundred thirty-four responses from eumenorrheic women (p-PMS = 78%) were considered valid. An unpaired Student t test was conducted to compare demographic characteristics between groups and chi-square test to evaluate the impact of PMS status on sport routines between groups.

RESULTS

A significant (P < .05) proportion of women in the p-PMS group changed their training schedule because of menstrual (55%) and premenstrual (61%) symptoms compared with the no-PMS group. Overall, all participants indicated that training (P = .01) and competitive (P < .01) performance are impacted during menstruation, followed by a greater impact (P < .05) in the p-PMS group before menstruation.

CONCLUSION

The presence of PMS symptoms reduces training and competitive performance, primarily during and before menstruation, respectively. Severity of PMS symptoms was significantly associated with alterations in training schedule but not with competitive schedule.

Women's Health and Working Life: A Scoping Review

Women's health matters for participation in working life. The objective of this study was to explore female physiology in a work-life context and to investigate possible associations between women's health, sickness absence and work ability. A scoping review was conducted to develop a systematic overview of the current research and to identify knowledge gaps. The search strategy was developed through a population, concept and context (PCC) model, and three areas of women's health were identified for investigation in the context of work. A total of 5798 articles were screened by title and abstract and 274 articles were screened by full text; 130 articles were included in the review. The material included research from 19 countries; the majority of the studies used quantitative methods. The results showed an impact on the occupational setting and an association between sickness absence, work ability and all three areas of women's health, but a holistic and overall perspective on female biology in the work context is missing. This review calls for more knowledge on health and work and possible gender differences in this regard. Women's health and working life involve a complex connection that has the potential to develop new knowledge.

Relationship between somatic symptoms with menstruation and intention to leave work among university hospital nurses in Japan: a cross-sectional study

PURPOSE

This study investigated the association between menstrual symptoms and the intention to leave work among female nurses in Japan.

METHODS

This cross-sectional study investigated female nurses (n = 317) at two university hospitals. The items measured were their characteristics (e.g., age, body mass index), "intention to leave" work, somatic symptoms related with menstruation, self-reported menstrual characteristics (e.g., pain), physical workloads (e.g., working hours and night shifts) and psychological workloads, measured with the Copenhagen Burnout Inventory (CBI), and the Job Content Questionnaire (JCQ). Participants with at least four somatic symptoms (e.g., cold, fatigue) which are present during their menstrual cycles were considered to have "somatic symptoms associated with menstruation." We also measured serum ovarian and gonadotropin-releasing hormones.

RESULTS

Approximately 40% of women answered "intention to leave" work, and 17% had "somatic symptoms associated with menstruation." Multiple logistic regression analysis suggested that nurses reporting "somatic symptoms associated with menstruation" were more likely to have "intention to leave" work: the adjusted odds ratios (AOR, 95% confidence interval [CI]) were 2.15 (1.12-4.11) in the personal-burnout model, 2.23 (1.16-4.31) in the work-related burnout model, 2.91 (1.52-5.56) in the client-related burnout model; 2.96 (1.50-5.82) in the JCQ model. There was no association between serum and gonadotropin hormones and the intention to leave.

CONCLUSION

Somatic symptoms with menstruation were associated with intention to leave work among female Japanese nurses. Intervention for somatic symptoms with menstruation might support nurses to continue work.

Menstrual cycle-associated symptoms and workplace productivity in US employees: A cross-sectional survey of users of the Flo mobile phone app

Objective

Mood and physical symptoms related to the menstrual cycle affect women's productivity at work, often leading to absenteeism. However, employer-led initiatives to tackle these issues are lacking. Digital health interventions focused on women's health (such as the Flo app) could help fill this gap.

Methods

1867 users of the Flo app participated in a survey exploring the impact of their menstrual cycle on their workplace productivity and the role of Flo in mitigating some of the identified issues.

Results

The majority reported a moderate to severe impact of their cycle on workplace productivity, with 45.2% reporting absenteeism (5.8 days on average in the previous 12 months). 48.4% reported not receiving any support from their manager and 94.6% said they were not provided with any specific benefit for issues related to their menstrual cycle, with 75.6% declaring wanting them. Users stated that the Flo app helped them with the management of menstrual cycle symptoms (68.7%), preparedness and bodily awareness (88.7%), openness with others (52.5%), and feeling supported (77.6%). Users who reported the most positive impact of the Flo app were 18-25% less likely to report an impact of their menstrual cycle on their productivity and 12-18% less likely to take days off work for issues related to their cycle.

Conclusions

Apps such as Flo could equip individuals with tools to better cope with issues related to their menstrual cycle and facilitate discussions around menstrual health in the workplace.

Can animal models resemble a premenstrual dysphoric condition?

Around 80% of women worldwide suffer mild Premenstrual Disorders (PMD) during their reproductive life. Up to a quarter are affected by moderate to severe symptoms, and between 3% and 8% experience a severe form. It is classified as premenstrual syndrome (PMS) with predominantly physical symptoms and premenstrual dysphoric disorder (PMDD) with psychiatric symptoms. The present review analyzes the factors associated with PMD and the Hypothalamus-Pituitary-Ovarian or Hypothalamus-Pituitary-adrenal axis and discusses the main animal models used to study PMDD. Evidence shows that the ovarian hormones participate in PMDD symptoms, and several points of regulation of their synthesis, metabolism, and target sites could be altered. PMDD is complex and implies several factors that require consideration when this condition is modeled in animals. Of particular interest are those points related to areas that may represent opportunities to develop new approximations to understand the mechanisms involved in PMDD and possible treatments.