Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn't involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity in science. Focusing on 'invisible' diversity (i.e., differences in, e.g., LGBTQ+, religious, or political orientation), I argue that in one common kind of group in science, if group members have full insight into their group's diversity, this is likely to create epistemic costs. These costs can be avoided and epistemic benefits gained if group members only partly detect their group's diversity. There is thus an epistemic reason for context-dependent limitations on scientists' insight into the diversity of their group.
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http://dx.doi.org/10.1007/s13194-021-00349-6 | DOI Listing |
Eur J Epidemiol
January 2025
Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Stockholm, Sweden.
The Stockholm Early Detection of Cancer Study (STEADY-CAN) cohort was established to investigate strategies for early cancer detection in a population-based context within Stockholm County, the capital region of Sweden. Utilising real-world data to explore cancer-related healthcare patterns and outcomes, the cohort links extensive clinical and laboratory data from both inpatient and outpatient care in the region. The dataset includes demographic information, detailed diagnostic codes, laboratory results, prescribed medications, and healthcare utilisation data.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Large-scale and detailed analyses of activity in the United States (US) remain limited. In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest and most diverse population health study in the US to date, to apply and extend the previous global findings on activity inequality within the context of the US. We found that daily steps differed by sex at birth, age, body characteristics, geography, and built environment.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Plastic and Breast Surgery, Zealand University Hospital, Roskilde, Denmark.
Objectives: This study aimed to investigate patients' use of electronic Patient-Reported Outcome Measures (ePROMs) and understand the demographic and clinical factors that may be correlated with patient responses to the BREAST-Q at the preoperative stage of breast cancer. The BREAST-Q is a PROM in questionnaire format, developed and validated to assess satisfaction and quality of life for breast surgery patients.The hypothesis tested is that considering disparities in geography, age and education among responders is essential for capturing a diverse patient population in future Patent-Reported Outcome Measures initiatives, examining how these characteristics are associated with Patent-Reported Outcome Measures utilisation and outcomes.
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Department of Psychiatry, Northwell Health, Zucker Hillside Hospital, Glen Oaks, NY, United States.
Background: Digital health technologies are increasingly being integrated into mental health care. However, the adoption of these technologies can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding of patient digital literacy and attitudes to prevent a digital divide, which can worsen existing health care disparities.
View Article and Find Full Text PDFJMIR Cardio
December 2024
School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Background: Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosis impacts the underlying pathophysiology of many cardiovascular diseases by altering structural integrity and impairing electrical conduction. Identifying cardiac fibrosis is essential for the prognosis and management of cardiovascular disease; however, current diagnostic methods face challenges due to invasiveness, cost, and inaccessibility.
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