Vaccination differences among U.S. adults by their self-identified sexual orientation, National Health Interview Survey, 2013–2015
Adult
Male
Vaccination Coverage
Adolescent
Science
Sexual Behavior
Sexual and Gender Minorities
Young Adult
03 medical and health sciences
0302 clinical medicine
Humans
Homosexuality, Male
Heterosexuality
Aged
Q
Vaccination
R
Homosexuality, Female
Middle Aged
Health Surveys
United States
3. Good health
Logistic Models
Medicine
Bisexuality
Female
Self Report
Research Article
DOI:
10.1371/journal.pone.0213431
Publication Date:
2019-03-07T19:30:40Z
AUTHORS (5)
ABSTRACT
Introduction Very few studies have explored the associations between self-identified sexual orientation and comprehensive vaccination coverage. Most of previous that reported health disparities among lesbian, gay bisexual populations were not based on a nationally representative sample U.S. adults, limiting generalizability findings. Starting in 2013, National Health Interview Survey (NHIS) included questions to ascertain adult's allowed national level estimation by orientation. This study examined self-reported coverage for selected vaccines adults their Methods We analyzed combined data from 2013–2015 NHIS, probability-based survey noninstitutionalized population ≥18 years. For other than influenza, weighted proportions calculated. Influenza was calculated using Kaplan-Meier procedure. Multivariable logistic regression models used calculate adjusted prevalence differences each vaccine overall stratified identify factors independently associated with vaccination. Results Significant observed receipt human papillomavirus (HPV), hepatitis A (HepA), B (HepB), influenza Bisexual females (51.6%) had higher HPV heterosexual (40.2%). Gay males (40.3% 53.6%, respectively) HepA HepB (25.4% 32.6%, respectively). (33.9% 58.5%, (23.5% 38.4%, lesbian (45.4%). (34.1%) lower gay/lesbian (48.5%) (43.8%). Except association having as greater likelihood HepA, HepB, vaccination, or status behavioral characteristics studied no consistent relationship all populations. Conclusion Differences identified adult is first assess list vaccinations. Findings this can serve baseline monitoring changes over time. All could benefit improved
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (65)
CITATIONS (28)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....