VenkatramanS, Echouffo-TcheuguiJB, SelvinE, et al.Trends and disparities in glycemic control and severe hyperglycemia among US adults With diabetes using insulin, 1988-2020. JAMA Netw Open, 2022; 5(12):e2247656; doi: 10.1001/jamanetworkopen.2022.47656
3.
Hernandez-RomieuAC, GargS, RosenbergES, et al.Is diabetes prevalence higher among HIV-infected individuals compared with the general population? Evidence from MMP and NHANES 2009-2010. BMJ Open Diabetes Res Care, 2017; 5(1):e000304; doi: 10.1136/bmjdrc-2016-000304
4.
LiuH, ChenIC, WilkinsonL, et al.Sexual orientation and diabetes during the transition to adulthood. LGBT Health, 2019; 6(5):227–234; doi: 10.1089/lgbt.2018.0153
5.
VelizPT, McCabeSE, HughesTL, et al.Sexual orientation and hypertension risk reduction behaviors among adults with high blood pressure. Ann LGBTQ Public Popul Health, 2020; 1(2):115–127; doi: 10.1891/lgbtq-2019-0011
6.
HatzenbuehlerML, SlopenN, McLaughlinKA. Stressful life events, sexual orientation, and cardiometabolic risk among young adults in the United States. Health Psychol, 2014; 33(10):1185–1194; doi: 10.1037/hea0000126
7.
MojolaSA, EverettB. STD and HIV risk factors among US young adults: Variations by gender, race, ethnicity and sexual orientation. Perspect Sex Reprod Health, 2012; 44(2):125–133; doi: 10.1363/4412512
8.
Centers for Disease Control and Prevention, Atlanta, GA. ICD-10-CM files | Classification of diseases, functioning, and disability. CDC. Available from: https://www.cdc.gov/nchs/icd/icd-10-cm/files.html [Last accessed: August13, 2024].
9.
NicholsGA, SchroederEB, KarterAJ, et al.SUPREME-DM Study Group. Trends in diabetes incidence among 7 million insured adults, 2006-2011: The SUPREME-DM project. Am J Epidemiol, 2015; 181(1):32–39; doi: 10.1093/aje/kwu255
10.
RoalfeAK, HolderRL, WilsonS. Standardization of rates using logistic regression: A comparison with the direct method. BMC Health Serv Res, 2008; 8:275; doi: 10.1186/1472-6963-8-275
11.
SwiftMB. Simple confidence intervals for standardized rates based on the approximate bootstrap method. Stat Med, 1995; 14(17):1875–1888; doi: 10.1002/sim.4780141704
12.
DugumaF, GebisaW, MamoA, et al.Diabetes mellitus and associated factors among adult HIV patients on highly active anti-retroviral treatment. HIV AIDS (Auckl), 2020; 12:657–665; doi: 10.2147/HIV.S279732
13.
da CunhaGH, FrancoKB, GalvãoMTG, et al.Diabetes mellitus in people living with HIV/AIDS: Prevalence and associated risk factors. AIDS Care, 2020; 32(5):600–607; doi: 10.1080/09540121.2019.1695727
14.
GalavizKI, VarugheseR, AganBK, et al.The intersection of HIV, diabetes, and race: Exploring disparities in diabetes care among people living with HIV. J Int Assoc Provid AIDS Care, 2020; 19:2325958220904241; doi: 10.1177/2325958220904241