Patterns and Predictors of Premenstrual Symptoms among Females Working in a Psychiatry Hospital

Menstrual characteristics and associations with sociodemographic factors and self-rated health in Spain: a cross-sectional study

BACKGROUND

Evidence on how menstrual characteristics may differ based on socioeconomic factors and self-rated health is significantly scarce. The main aim of this study was to investigate the associations between menstrual characteristics, sociodemographic factors and self-rated health among women and people who menstruate (PWM) aged 18-55 in Spain.

METHODS

This cross-sectional study includes data from an online survey collected in March-July 2021 across Spain. Descriptive statistical analyses and multivariate logistic regression models were performed.

RESULTS

The analyses included a total of 19,358 women and PWM. Mean age at menarche was 12.4 (SD = 1.5). While 20.3% of our participants experienced a menstrual abundance over 80 ml, 64.1% reported having menstrual blood clots; 6.4% menstruated for longer than 7 days. 17.0% had menstrual cycles that were shorter than 21 days or longer than 35 days. Reports of moderate (46.3%) and high (22.7%) intensity menstrual pain were common. 68.2% of our participants experienced premenstrual symptoms in all or most cycles. The odds for lighter menstrual flow, shorter bleeding days and menstrual cycles were higher as age increased, and amongst participants with less educational attainment. Caregivers presented higher odds for abundant menstrual flow and longer menstruations. Reporting financial constraints and a poorer self-rated health were risk factors for abundant menstrual flow, menstrual blood clots, shorter/longer menstruations and menstrual cycles, premenstrual symptoms, moderate and intense menstrual pain.

CONCLUSIONS

This study suggests that age, educational attainment, caregiving, experiencing financial hardship and a poorer self-rated health may shape or mediate menstrual characteristics. It thus highlights the need to investigate and address social inequities of health in menstrual research.

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.

[Secondary Data Analysis on the Factors Influencing Premenstrual Symptoms of Shift Work Nurses: Focused on the Sleep and Occupational Stress]

PURPOSE

This study aimed to examine premenstrual symptoms (PMS) of shift nurses and identify the association between PMS, sleep, and occupational stress.

METHODS

This study was conducted with a secondary data analysis that used data from the Shift Work Nurse's Health and Turnover study. The participants were 258 nurses who were working in shifts including night shifts. PMS, sleep patterns (sleep time and sleep time variability), sleep quality, and the occupational stress of each participant were measured using the Moos Menstrual Distress Questionnaire, a sleep diary, an actigraph, the Insomnia Severity Index, and the Korean Occupational Stress Scale, respectively. Data were analyzed using SPSS 23 and STATA 15.1 to obtain descriptive statistics, Pearson's correlation coefficients, multiple linear regression with generalized estimating equations (GEE) and Baron and Kenny's mediating analysis.

RESULTS

The average PMS score, average sleep time, average sleep time variability, average sleep quality score, and average occupational stress score of the participants was 53.95 ± 40.45, 7.52 ± 0.89 hours, 32.84 ± 8.43%, 12.34 ± 5.95, and 49.89 ± 8.98, respectively. A multiple linear regression analysis with GEE indicated that sleep time variability (B = 0.86, p = .001), and sleep quality (B = 2.36, p < .001) had negative effects on nurses' PMS. We also found that sleep quality had a complete mediating effect in the relationship between occupational stress and PMS.

CONCLUSION

These findings indicate that both sleep time variability and sleep quality are important factors associated with PMS among shift work nurses. To improve shift nurses' PMS status, strategies are urgently needed to decrease sleep time variability and increase sleep quality.

Prevalence and clinical picture of premenstrual syndrome in females from Bulgaria

BACKGROUND

Premenstrual syndrome (PMS) and its more severe form premenstrual dysphoric disorder (PMDD) are highly prevalent conditions, but there seems to be ethnic and cultural variances in their distribution.

AIMS

To explore the prevalence of PMS/PMDD and their typical clinical features in a Bulgarian population.

MATERIALS AND METHODS

This investigation was designed and executed as a cross-sectional descriptive study. Three hundred and five conveniently recruited females with no psychiatric history filled in a self-evaluation questionnaire based on DSM-IV tapping on different symptoms of PMS. The prevalence of the conditions was calculated.

RESULTS

32.1% (N = 98) of the tested females (mean age 31.04 ± 6.31) suffered from PMS and 3.3% (N = 10) were diagnosed with PMDD. The leading symptoms in the sample were irritability, fatigue and changes in appetite, depressed mood, mood swings, and anxiety, and abdominal bloating, breast tension and tenderness. Most of the symptoms were moderately severe. Mild and moderate cases of PMS were near equally distributed and more frequent than severe ones.

CONCLUSION

PMS is a common condition which is usually mildly expressed, but severe cases are not an exception. The clinical picture is dominated by almost equally distributed psychological and somatic symptoms.

Prevalence of premenstrual dysphoric disorder among school-going adolescent girls

BACKGROUND

Premenstrual dysphoric disorder (PMDD) is a severe form of premenstrual syndrome which has a significant negative impact on the various domains of life of adolescent girls.

AIM

The aim of this study was to estimate the prevalence of PMDD in adolescent girls studying in classes 7^th-10^th and ascertain the level of stress, anxiety, and depression among them.

METHODOLOGY

A cross-sectional study was conducted in three all-girls schools in Chandigarh (two - government and one - private) after taking necessary permissions. Participants were evaluated on a self-rated questionnaire which included the PMDD scale, Perceived Stress Scale, Generalized Anxiety Disorder-7 (GAD-7) questionnaire, and Patient Health Questionnaire-9.

RESULTS

A total of 397 girls participated in the study. The mean age of respondents was 14.34 (standard deviation [SD]: 1.17; range: 11-20) years, with most (44%) studying in class 10^th. The mean age of attaining menarche was 12.54 (SD: 0.92; range: 10-15) years. The prevalence of PMDD was found to be 4.8% (n = 19). Majority of the respondents reported moderate levels of perceived stress (62%). A positive correlation was seen between the severity of PMDD, age, levels of perceived stress, severity of depression, and anxiety in the respondents.

CONCLUSION

Nearly 5% of adolescent girls suffer from PMDD, with higher prevalence among those with depression, GAD, and higher perceived stress. Thus, there is a need to screen adolescent females for PMDD at the earliest and institute intervention to minimize its negative impact.