scholarly journals A LITERATURE REVIEW ON MENSTRUATION AND MENTAL HEALTH

2021 ◽  
Author(s):  
Vandana Singh Malik ◽  
Krishan Kumar ◽  
Rakesh Kumar Behamani

This review aims to understand and break misconceptions about menstruation. It is a normal biological process and a healthy part of a women’s life. The menstrual cycle of a women’s life starts from the onset of menarche (average 13 years) through to menopause (average around 50 years). A woman menstruates for about 7 years during their life. In this period women face many problems. Menstruation is not only confined to the physical pain and symptoms but it affects the mental health of female adolescents. Several surveys have been conducted in the area. A lack of information about menstruation leads to damaging misconceptions and discrimination. Many girls do not have complete and accurate information about menstruation. By providing proper counseling sessions and workshop programs girls can be educated about menstruation. There is a need to build their confidence and encourage healthy habits and to break down taboos.

2021 ◽  
Vol 3 (2) ◽  
pp. 215
Author(s):  
Nel Efni ◽  
Tina Yuli Fatmawati

The obligation to maintain health and hygiene related to menstruation is almost ignored by many people. Many factors that cause it, can be due to ignorance or due to lack of education from schools and parents. Many girls do not have a proper understanding that their menstruation is a normal biological process and they only know it at menarche. Insufficient knowledge about menstruation, menstrual cycle and Menstrual Hygiene Management (MKM) during menstruation can result in problems during menstruation such as dysmenorrhea, pelvic muscle cramps. This community service was carried out at the SMP N  5 Jambi City, with the aim that students could understand how to maintain cleanliness during menstruation. so that adolescents will be free from diseases, especially those related to reproductive health. The service method applied by the community service team is discussion, guidance, and persuasive communication. Held in December 2020-January 2021. After the counseling activities were carried out, all the teenagers who attended understood about treatment during menstruation


Author(s):  
Catharina Zehetmair ◽  
Valentina Zeyher ◽  
Anna Cranz ◽  
Beate Ditzen ◽  
Sabine C. Herpertz ◽  
...  

Providing refugees with psychosocial support is particularly important considering the high level of mental health problems prevalent in this population. A psychosocial walk-in clinic operating within a state reception and registration center in Germany has been supporting mentally burdened refugees since 2016. This study focused on patients’ perspectives on their mental health burden, the psychosocial walk-in clinic, and future help seeking. We conducted interviews with n = 22 refugees attending the walk-in clinic from March to May 2019. Qualitative analysis focused on the following four topics: (1) mental burden from the patients’ perspective, (2) access to the psychosocial walk-in clinic, (3) perception of counseling sessions, and (4) perception of follow-up treatment. The results show that the majority of interviewees were burdened by psychological and somatic complaints, mostly attributed to past experiences and post-migratory stress. Therapeutic counseling and psychiatric medication were found to be particularly helpful. Most of the participants felt motivated to seek further psychosocial support. Key barriers to seeking psychosocial help included shame, fear of stigma, and lack of information. Overall, the psychosocial walk-in clinic is a highly valued support service for newly arrived refugees with mental health issues.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
L Worsfold ◽  
L Marriott ◽  
S Johnson ◽  
J Harper

Abstract Study question Are period trackers giving women accurate information about their periods and ovulation? Summary answer The top 10 period trackers gave conflicting information on period dates, ovulation day and the fertile window. What is known already Period tracking applications allow women to track their menstrual cycles and receive a prediction for their periods. The majority of applications also provide predictions of day of ovulation and the fertile window. Previous research indicates applications are basing predictions on assuming women undergo a textbook 28-day cycle with ovulation occurring on day 14 and a fertile window between days 10 and 17. Study design, size, duration An audit of menstrual cycle apps was conducted on the Apple app store using menstrual cycle tracker/period tracker as the search terms. The top ten apps that followed the inclusion and exclusion criteria were analysed and used for this study. All apps had the ability to allow retrospective data entry giving future cycle predictions and fertile window, and nine of the apps predicted a day of ovulation. Participants/materials, setting, methods Five women’s profiles for 6 menstrual cycles were created and entered into each app. Cycle length (CL) and ovulation day (OD) for the 6th cycle were; Woman 1 – Constant 28 day CL, 0D 16, Woman 2 – Average 23 day CL, OD 13, Woman 3 – Average 28 day CL, OD 17, Woman 4 – Average 33 day CL, OD 20 and Woman 5 – Irregular, average 31 day CL, OD 14. Main results and the role of chance For cycle length, the apps all predicted woman 1’s cycles correctly but for women 2–5, the apps predicted 0 to 8 days shorter or longer than expected. For day of ovulation; for woman 1, no apps predicted this correctly; the apps ranged from day 13–15. For woman 2, 1 app was correct and overall the apps showed a lot of variation from day 8 to 13. For woman 3, no apps got it right, with a range of day 13–16. For woman 4, 2 apps got it right, but the apps ranged from day 13–20. For woman 5, no apps got right; the apps ranged from day 13–21. Irrespective of cycle length, 7 apps predicted a fertile window of 7 days in almost all cases; except 1 app that predicted 6 days for woman 2 and a different app which predicted 8 days for woman 4. For the remaining 3 apps, one always predicted a 10 day fertile window. One app predicted an 11 day fertile window in 4/5 women. One app predicted a 12 day fertile window in 4/5 women. Limitations, reasons for caution The five profiles created spanned a range of observed cycle characteristics, but many permutations are possible. A Monte Carlo type analysis could be conducted to examine these possibilities to provide more precise assessment of app performance, but as data had to be added manually into apps, this was not possible. Wider implications of the findings: The apps do not use the same algorithm and show variation. The information given by these apps is not 100% accurate, especially for the day of ovulation and the fertile window which can only be predicted if using a marker of ovulation, such as basal body temperature or ovulation sticks. Trial registration number Not applicable


Author(s):  
Reza Rabiei ◽  
Farkhonde Aasdi ◽  
Hamid Moghaddasi ◽  
Mahdie Shojaei Baghini

Aim: Accurate information can be accessed in a timely manner through the Integrated Mental Health Information Network (MHIN). As Iran has no MHIN, this study was undertaken to propose an architectural model.  Method: This research is a sequential mixed method. The organizational structure and database structure of the MHIN was identified, and the architectural model of the NMHIN was presented in two main phases. In the first phase, a quantitative study was conducted in a scoping review with an extensive review of the background, documents, information, and available resources about the mental health information network. In the second phase, to validate the proposed architecture, the Delphi technique was implemented. Questionnaires were distributed and collected both in person and by e-mail, and finally, the data were analyzed using SPSS-19. Results: The model of national MHIN was provided in five dimensions: MH entities, organizational ownership of databases, data elements of each database, linkage among databases, and exchangeable data elements among the databases. Conclusion: This model can be applied as a suitable platform to effectively and efficiently store and use mental health information. So, the available information can be used for providing mental health services more comfortably and appropriately. The results showed that connecting mental health entities can create a flow of information, coordinate MHIN activities, and improve performance, efficiency, and quality of mental health.


2021 ◽  
Author(s):  
Nurun Layla Chowdhury

The quality of an individual’s mental health has a significant impact on their quality of life, as well as on the cost to society. Regular access to mental health services can help mitigate the risk factors of developing mental illnesses. This paper examines barriers to accessing mental health services, using the community of Peterborough, Ontario, as an example. Social, economic, and cultural barriers impact help-seeking amongst immigrants, putting them at a higher risk of developing mental disorders. The social determinants of mental health can be useful when developing policies aimed at improving utilization of mental healthcare services. Policy makers need to first focus on collecting accurate information on the population, and then developing targeted solutions to eliminate barriers such as language and employment that prevent help-seeking in immigrants.


2021 ◽  
Vol 12 ◽  
Author(s):  
Ruth Pinedo ◽  
Isabel Vicario-Molina ◽  
Eva González Ortega ◽  
Andrés Palacios Picos

The COVID-19 disease has forced governments to adopt exceptional measures. The lockdown decreed in Spain in 2020 required citizens to stay confined at home, which might have affected their mental health. The objective is to identify factors that influenced adults' mental health during this period. A sample of 3,508 adults from the Spanish general population completed an online survey that collected sociodemographic data and information about daily planning and activities, healthy habits, loneliness, coping humor and mental health. Data were analyzed using Structural Equation Modeling. According to the results, the proposed model showed good fit values, and latent variables explained 30% of the variance in mental health. Loneliness, coping humor, healthy habits, age and gender had a significant weight in the prediction of mental health during lockdown. Area of residence, number of days of confinement and number of people in the household were not related to mental health. This study addresses the effect of COVID-19 and social distancing measures by identifying risk and protective factors for the development of mental health difficulties. There is a need to target specific and early interventions aimed at mitigating the psychological impact of the pandemic while increasing well-being, especially in more vulnerable groups.


FACETS ◽  
2021 ◽  
Vol 6 ◽  
pp. 1628-1648
Author(s):  
Tracy Vaillancourt ◽  
Peter Szatmari ◽  
Katholiki Georgiades ◽  
Amanda Krygsman

Children and youth flourish in environments that are predictable, safe, and structured. The COVID-19 pandemic has disrupted these protective factors making it difficult for children and youth to adapt and thrive. Pandemic-related school closures, family stress, and trauma have led to increases in mental health problems in some children and youth, an area of health that was already in crisis well before COVID-19 was declared a global pandemic. Because mental health problems early in life are associated with significant impairment across family, social, and academic domains, immediate measures are needed to mitigate the potential for long-term sequalae. Now more than ever, Canada needs a national mental health strategy that is delivered in the context in which children and youth are most easily accessible—schools. This strategy should provide coordinated care across sectors in a stepped care framework and across a full continuum of mental health supports spanning promotion, prevention, early intervention, and treatment. In parallel, we must invest in a comprehensive population-based follow-up of Statistics Canada’s Canadian Health Survey on Children and Youth so that accurate information about how the pandemic is affecting all Canadian children and youth can be obtained. It is time the Canadian government prioritizes the mental health of children and youth in its management of the pandemic and beyond.


2019 ◽  
Author(s):  
Marjolein Barendse ◽  
Nandita Vijayakumar ◽  
Michelle L Byrne ◽  
Jessica Flannery ◽  
Theresa W Cheng ◽  
...  

Background: Despite recent studies linking pubertal processes to brain development, as well as research demonstrating the importance of both pubertal and neurodevelopmental processes for adolescent mental health, there is limited knowledge of the full pathways and mechanisms behind the emergence of mental illnesses such as depression and anxiety disorders in adolescence. The Transitions in Adolescent Girls (TAG) study aims to understand the complex relationships between pubertal development, brain structure and connectivity, the behavioral and neural correlates of social and self-perception processes, and adolescent mental health in female adolescents. Methods: The TAG study includes 174 female adolescents aged 10.0 to 13.0 years, recruited from the local community in Lane County, Oregon, USA. The participants, along with a parent/guardian, will complete three waves of assessment over the course of three years; the third wave is currently underway. Each wave includes collection of four saliva samples (one per week) and one hair sample for the assessment of hormone levels and immune factors; an MRI session including structural, diffusion, resting-state functional and task-based functional scans; the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS), a diagnostic interview on current and lifetime mental health; production of a short self-narrative video; and measurement of height, weight, and waist circumference. The functional MRI tasks include a self-evaluation paradigm and a self-disclosure paradigm. In addition, adolescents and their parents/guardians complete a number of surveys to report on the adolescent’s pubertal development, mental health, social environment and life events; adolescents also report on various indices of self-perception and social-emotional functioning. Discussion: The knowledge gained from this study will include developmental trajectories of pubertal, neurological, and social processes and their roles as mechanisms in predicting emergence of mental illness in female adolescents. This knowledge will help identify modifiable, developmentally specific risk factors as targets for early intervention and prevention efforts.Methods: The TAG study includes 174 girls aged 10.0 to 13.0 years, recruited from the local community in Lane County, Oregon, USA. The girls, along with a parent/guardian, will complete three waves of assessment over the course of three years; the second and third wave are currently underway. Each wave includes collection of four saliva samples (one per week) and one hair sample for the assessment of hormone levels and immune factors; an MRI session including structural, diffusion, resting-state functional and task-based functional scans; the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS), a diagnostic interview on current and lifetime mental health; production of a short self-narrative video; and measurement of height, weight, and waist circumference. The functional MRI tasks include a self-evaluation paradigm and a self-disclosure paradigm. In addition, adolescents and their parents/guardians complete a number of surveys to report on the adolescent’s pubertal development, mental health, social environment and life events; adolescents also report on various indices of self-perception and social-emotional functioning. Discussion: The knowledge gained from this study will include developmental trajectories of pubertal, neurological, and social processes and their roles as mechanisms in predicting emergence of mental illness in adolescent girls. This knowledge will help identify modifiable, developmentally specific risk factors as targets for early intervention and prevention efforts.


2018 ◽  
Vol 40 (4) ◽  
pp. 326-336 ◽  
Author(s):  
Thais Martini ◽  
Leticia S. Czepielewski ◽  
Daniel Prates Baldez ◽  
Emma Gliddon ◽  
Christian Kieling ◽  
...  

Abstract Introduction The Internet has seen rapid growth in the number of websites focusing on mental health content. Considering the increased need for access to accurate information about mental health treatment, it is important to understand the promotion of this information online. Objective To analyze BuzzFeed’s Mental Health Week (BFMHW) interactions on its own website and in related social media platforms (Facebook, Twitter and YouTube) using metrics of information delivery in mental health topics. Methods We extracted social media metrics from the 20 posts with the highest number of BuzzFeed interactions on the BFMHW website and from 41 videos available on the BFMHW playlist created by the BuzzFeed Video profile on YouTube. We analyzed the format and content used in BuzzFeed’s publishing methods as well as the following social media metrics: exposure (presence online, views and time online), influence (likes) and engagement (comments, shares, replies and BuzzFeed interactions). Results Analysis of the variables revealed that audience engagement is associated with the number of medias in which the content is published: views on YouTube and shares on Facebook (0.71, p<0.001), total interactions on Facebook (0.66, p<0.001) and BuzzFeed number of total interactions (0.56, p<0.001). Conclusions Our results suggest that videos on YouTube may be an important information channel, including activity and engagement on other medias such as Facebook. Information may be more effective in reaching the audience if it is delivered in more than one media and includes personal experiences, some humor in content and detailed information about treatment.


Sign in / Sign up

Export Citation Format

Share Document