The menstrual cycle remains neglected in explorations of public health, and entirely remiss in occupational health literature, despite being a problematic source of gendered inequalities at work. This paper proposes the new concept of blood work to explain the relationship between menstruation (and associated gynaecological health conditions) and employment for women and trans/non-binary people. We build on and extend health and organisational literature on managing bodies at work by arguing that those who experience menstruation face additional work or labour in the management of their own bodies through the menstrual cycle. We discuss how this additional labour replicates problematic elements that are identifiable in public health initiatives, in that it is individualised, requiring individual women and trans/non-binary people to navigate unsupportive workplaces. We present findings from an analysis of qualitative survey data that were completed by 627 participants working in higher education, revealing that employees' blood work comprises distinct difficulties that are related to the management of painful, leaking bodies, access to facilities, stigma, and balancing workload. We suggest developing supportive workplaces and public health policies, which refocus the responsibility for accessible, equal workplaces that accommodate menstruating employees, and those with gynaecological health conditions.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921994 | PMC |
http://dx.doi.org/10.3390/ijerph18041951 | DOI Listing |
J Clin Exp Hepatol
November 2024
Health Services Department, Govt of Kerala, Thiruvananthapuram, India.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) with onset in youth may be more consequential for adverse outcomes than that detected later in adulthood. Transaminitis in the general population is a marker of the prevalence of MASLD. There are no previous community-based studies in Indian youth assessing the prevalence of transaminitis.
View Article and Find Full Text PDFLancet Reg Health West Pac
January 2025
Oxford University Clinical Research Unit (OUCRU), National Hospital for Tropical Diseases, 78 Giai Phong, Dong Da District, Hanoi, Viet Nam.
Background: Beta-lactams remain the first-line treatment of infections despite the increasing global prevalence of penicillin-resistant/non-susceptible strains. We conducted a cross-sectional household survey in a rural community in northern Vietnam in 2018-2019 to provide prevalence estimates of penicillin non-susceptible (PNSP) carriage and to investigate behavioural and environmental factors associated with PNSP colonization. The data presented will inform the design of a large trial of population-based interventions targeting inappropriate antibiotic use.
View Article and Find Full Text PDFInt J Chron Obstruct Pulmon Dis
January 2025
Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, People's Republic of China.
Purpose: The C-reactive protein (CRP)-albumin-lymphocyte (CALLY) index is a newly developed biomarker that combines measurements of CRP, serum albumin, and lymphocyte count. This index provides a thorough assessment of a patient's inflammation level, nutritional condition, and immunological function. The objective of this study is to examine the correlation between the CALLY index and all-cause mortality in COPD patients.
View Article and Find Full Text PDFJ Inflamm Res
January 2025
Department of Rheumatism and Immunity, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Background: Ankylosing spondylitis (AS) is a chronic autoimmune disease characterized by inflammation of the sacroiliac joints and spine. Cuproptosis is a newly recognized copper-induced cell death mechanism. Our study explored the novel role of cuproptosis-related genes (CRGs) in AS, focusing on immune cell infiltration and molecular clustering.
View Article and Find Full Text PDFJ Inflamm Res
January 2025
Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People's Republic of China.
Background: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. Identifying early predictors of sepsis is crucial for timely intervention. This study aimed to develop and validate a predictive model for sepsis risk in leukemia patients using machine learning techniques.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!