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1
This document seeks to enhance the attention of the people and governments of the world to the effects of mental health problems and substance abuse on the social well being and physical health of the world´s underserved population.
Do men and women experience different types of security events? Are there differences in the attitudes within humanitarian agencies towards the same type of events affecting men or women? In this paper, using the Security in Numbers Database (SiND),
...
the differences and similarities in men’s and women’s experiences of security events are analyzed to help agencies think about the potential gender implications of security management.
more
Recognizing the extent to which the COVID-19 outbreaks affects women and men differently is hugely important. Some preliminary data suggested that more men than women are dying, potentially due to sex-based immunological differences, higher rates of
...
cardiovascular disease for men and lifestyle choices, such as smoking. However, the experiences and lessons learned from the Zika and Ebola outbreaks and the HIV pandemic demonstrate that robust gender analysis and informed, gender-integrated response are vital to strengthen the access and acceptability of the humanitarian services needed to meet the distinct needs of women and girls, as well as men and boy and LGBTI people.
more
This report is part of the gender and noncommunicable diseases (NCDs) initiative launched by the WHO Regional Office for Europe, which aims to strengthen the response to NCDs through a gender approa
...
ch. It is part of a series of country profiles and a synthesis report. The country profile of Ukraine presents a gender analysis of the WHO STEPwise survey (STEPS) data to support international commitments to reducing the burden of NCDs with evidence and knowledge exchange. A gender analysis of STEPS NCD risk-factor survey data describes how risk factors for chronic diseases differ between and among men and women by exploring and tracking the direction and magnitude of trends in risk factors and accessing services by sociodemographic variables. Important differences hide even in sex-disaggregated data that need to be unpacked through sociodemographic characteristics, because men and women are not homogenous groups. The report also recognizes gaps in evidence and calls for further analysis of the impact of gender-based inequalities.
more
Diagnosis and Treatment Outcomes of Tuberculosis in Relation to Gender and HIV Status in South Benin
Journal of Tuberculosis Research, 2017, 5, 189-200
Background: In Benin, little is known about the influence of both gender and
HIV-status on diagnostic patterns and treatment outcomes of Tuberculosis
(TB) patients. Objective: To assess whether
...
differences in gender and HIV
status affect diagnostic patterns and treatment outcomes of TB patients. Methods:
Retrospective cohort study of patients registered in 2013 and 2014 in
the three largest TB Basic Management Units in south Benin. Results: Of 2694
registered TB patients, 1700 (63.1%) were male. Case notification rates were
higher in males compared with females (96 vs 53/100,000 inhabitants). The
male to female ratio was 1:1 in HIV positive patients, but was 2:1 among HIV
negative cases. In HIV-positive patients, there were no differences in TB types
between men and women. In HIV-negative patients, there were significantly
higher proportions of females with clinically diagnosed pulmonary TB (p =
0.04) and extrapulmonary TB (p < 0.001). Retreatment TB was 4.65 times
higher amongst males compared with females. For New bacteriologically confirmed
pulmonary TB, no differences were observed in treatment outcomes
between genders in the HIV positive group; but significantly more unfavorable
outcomes were reported among HIV negative males, with higher rates of
failure (p < 0.001) and loss-to-follow up (p = 0.02). Conclusion: The study
has shown that overall TB notification rates were higher in males than in females
in south Benin, with more females co-infected with HIV. Unfavorable outcomes were more common in HIV-negative males.
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Recognizing the extent to which the COVID-19 outbreaks affects women and men differently is hugely important. Some preliminary data suggested that more men than women are dying, potentially due to sex-based immunological differences, higher rates of
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cardiovascular disease for men and lifestyle choices, such as smoking. However, the experiences and lessons learned from the Zika and Ebola outbreaks and the HIV pandemic demonstrate that robust gender analysis and informed, gender-integrated response are vital to strengthen the access and acceptability of the humanitarian services needed to meet the distinct needs of women and girls, as well as men and boy and LGBTI people.
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Recognizing the extent to which the COVID-19 outbreaks affects women and men differently is hugely important. Some preliminary data suggested that more men than women are dying, potentially due to sex-based immunological differences, higher rates of
...
cardiovascular disease for men and lifestyle choices, such as smoking. However, the experiences and lessons learned from the Zika and Ebola outbreaks and the HIV pandemic demonstrate that robust gender analysis and informed, gender-integrated response are vital to strengthen the access and acceptability of the humanitarian services needed to meet the distinct needs of women and girls, as well as men and boy and LGBTI people.
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Child marriage and female genital mutilation (FGM) threaten the well-being of millions of girls around the world. Both have existed for generations, as manifestations of gender inequality, and have been propagated by discriminatory norms that devalu
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e girls. In many countries where both child marriage and FGM are common, girls most at risk for each practice tend to share certain characteristics, such as low levels of education, rural residence, and living in poorer households. Yet, there are distinct differences in what drives each practice, and many communities in which one may be common, will not practice the other.
This report seeks to identify the extent to which child marriage and FGM co-exist. The intersection of these two practices – that is, the share of women who underwent FGM and were married in childhood – is reviewed over time, to determine whether girls’ likelihood of experiencing both practices has changed across generations. Lastly, the analysis identifies the characteristics that most commonly distinguish the girls who experience one practice from those who experience both.
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The place where you live, the communities you belong to, your education level, ethnicity, race, income and gender, and
whether you have a disability, all make a huge difference to how long you can expect to live a healthy life. People in the
c
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ountry with the highest life expectancy will, on average, live for 33 years more than those born in the country with the lowest
life expectancy. There are major differences in life expectancy between countries at very similar income levels: data shows that regardless of income level, some countries have managed to halve premature death over the past half-century, while in
others, it has remained the same or even increased. Within countries, life expectancy varies by decades, depending on which area you live in and the social group to which you belong
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This document adopts a health determinants framework for examining the evidence related to women’s poor mental health. From this perspective, public policy including economic policy, socio-cultural and environmental factors, community and social support, stressors and life events, personal behavio
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ur and skills, and availability and access to health services, are all seen to exercise a role in determining women’s mental health status. Similarly, when considering the differences between women and men, a gender approach has been used. While this does not exclude biological or sex differences, it considers the critical roles that social and cultural factors and unequal power relations between men and women play in promoting or impeding mental health. Such inequalities create, maintain and exacerbate exposure to risk factors that endanger women’s mental health, and are most graphically illustrated in the significantly different rates of depression between men and women, poverty and its impact, and the phenomenal prevalence of violence against women.
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High meat consumption, particularly red meat and processed meat, negatively affects our health, while meat production is one of the largest contributors to global warming and environmental degradation. The aim of our study was to explore trends in meat consumption within the UK and the associated ch
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anges in environmental impact. We also aimed to identify any differences in intake associated with gender, ethnicity, socioeconomic status, and year of birth.
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Background: Healthcare workers’ mental health was affected by SARS-CoV-2 pandemic.
Aim: To evaluate healthcare workers’ mental health and its associated factors during the pandemic in Chile. Material and Methods: An online self-reported questionnaire was designed including the Goldberg Healt
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h Questionnaire, the Patient Health
Questionnaire, (PHQ-9), and the Columbia-Suicide Severity Rating Scale among other questions. It was sent to 28,038 healthcare workers.
Results: The questionnaire was answered by 1,934 participants, with a median age of 38 years (74% women). Seventy five percent were professionals, and 48% worked at a hospital. Fifty nine percent of respondents had a risk of having a mental health disorder, and 73% had depressive symptoms. Significant associations were found with sex, workplace, and some of the relevant experiences during the pandemic. Fifty one
percent reported the need for mental health support, and 38% of them received it.
Conclusions: There is a high percentage of health workers with symptoms of psychological distress, depression, and suicidal ideas. The gender approach is essential to understand the important differences found. Many health workers who required mental health care did not seek or received it.
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Towards gender - transformative HIV and TB responses
На пути к гендерно-преобразовательным мерам против ВИЧ и ТБ
Pandemics and outbreaks have differential impacts on women and men. From risk of exposure and biological susceptibility to infection to the social and economic implications, individuals’ experiences are likely to vary according to their biological and
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gender characteristics and their interaction with other social determinants. Because of this, global and national strategic plans for COVID-19 preparedness and response must be grounded in strong gender analysis and must ensure meaningful participation of affected groups, including women and girls, in decision-making and implementation.
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This new edition highlights once again the importance of collecting disaggregated data to conduct gender-based analysis in order to determine, address, reduce, and eliminate the causes of gender-rel
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ated inequalities.
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