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Gender-specific risk factors increase the likelihood of getting a particular mental disorder based on one's gender. Some gender-specific risk factors that disproportionately affect women are income inequality, low social ranking, unrelenting child care, gender-based violence, and socioeconomic disadvantages.
The second leading cause of global disability burden in 2020 was unipolar depression, and research showed that depression was twice as likely to be prevalent in women than in men. [9] [10] [13] Gender-based mental health disparities suggest that gender is a factor that could be leading to unequal health outcomes. [14]
While gender differences among those with mental health disorders are an underdeveloped field of study, there are gender specific aspects to life that cause disparities. Gender is often a determinant of the amount of power one has over factors in their life, such as socioeconomic status and social position, and the stressors that go along with ...
The World Health Organization (WHO) has defined health as "a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity." [1] Identified by the 2012 World Development Report as one of two key human capital endowments, health can influence an individual's ability to reach his or her full potential in society. [2]
Sleep problems in women can manifest at various stages of their life cycle, as supported by both subjective and objective data. [further explanation needed] Factors such as hormonal changes, aging, psycho-social aspects, physical and psychological conditions and the presence of sleeping disorders can disrupt women's sleep.
Modern research attempts to distinguish between these causes and to analyze any ethical concerns raised. Since behavior is a result of interactions between nature and nurture, researchers are interested in investigating how biology and environment interact to produce such differences, [3] [4] although this is often not possible. [4]: 36
Examples of racial and gender disparities have been found in algorithms used to assess risks of complications for common cardiac surgeries, estimate the viability of potential kidney donors, predict survival rates and life expectancy in rectal cancer patients, access the probability of a successful vaginal birth after c-sections, and many other ...
[9] There is a suggestion that assumptions regarding gender specific behavioral characteristics can lead to a diagnostic system which is biased. [34] The issue of gender bias with regard to Diagnostic and Statistical Manual of Mental Disorders (DSM) personality disorder criteria has been controversial and widely debated. The fourth DSM (4th ed ...