Reducing LGBTQ+ Physical Activity Disparities Through Improved Measurement and Inclusion of Sexual Orientation in US National Data Sets.
Keegan T PetersonMelissa BoppPublished in: Journal of physical activity & health (2023)
Adequate participation in physical activity (PA) is effective in reducing negative health outcomes, including cardiovascular disease, stroke, type 2 diabetes, as well as stress, anxiety, and depression. However, 1 in 4 adults meet the PA guidelines, with lesbian, gay, bisexual, transgender, and queer (LGBTQ+) persons reporting increased rates of inactivity and higher rates of negative health outcomes. Limited research can be conducted on best methods to promote PA among LGBTQ+ adults as there is a lack of standardized measurements for both sexual orientation status and PA used in US national data set methodologies. A call to action is warranted to highlight the lack of uniform methodologies for collecting both sexual orientation and PA data in national data sets, with an overall goal of promoting inclusion and transparency of sexual orientation as a primary, secondary, and tertiary influence on PA. The current societal disconnect of national data sets collecting sexual orientation does not allow for proper extrapolation within the LGBTQ+ classifications. LGBTQ+ identities each report differing PA and health outcomes, promoting the need for proper sexual orientation measures. Without this inclusion, we will continue to see larger health disparities among LGBTQ+ persons due to outdated measurements in current US national data sets. This commentary provides sexual orientation status on health outcomes linked to physical inactivity, the need to include uniform sexual orientation measures in national data sets, and implications of the inclusion of this measure to conduct PA research as it relates to health outcomes.
Keyphrases
- physical activity
- mental health
- electronic health record
- type diabetes
- cardiovascular disease
- big data
- quality improvement
- public health
- healthcare
- artificial intelligence
- body mass index
- emergency department
- adipose tissue
- climate change
- depressive symptoms
- data analysis
- insulin resistance
- atrial fibrillation
- hepatitis c virus
- deep learning
- health information
- south africa
- health insurance
- cardiovascular events
- affordable care act