Impact of COVID-19 Response on the HIV Epidemic in Men Who Have Sex With Men in San Francisco County: The Importance of Rapid Return to Normalcy.

BACKGROUND: In response to the COVID-19 pandemic, San Francisco County (SFC) had to shift many nonemergency health care resources to COVID-19, reducing HIV control resources. We sought to quantify COVID-19 effects on HIV burden among men who have sex with men (MSM) as SFC returns to pre-COVID service levels and progresses toward the Ending the HIV Epidemic (EHE) goals. SETTING: Microsimulation model of MSM in SFC tracking HIV progression and treatment. METHODS: Scenario analysis where services affected by COVID-19 [testing, care engagement, pre-exposure prophylaxis (PrEP) uptake, and retention] return to pre-COVID levels by the end of 2022 or 2025, compared against a counterfactual where COVID-19 changes never occurred. We also examined scenarios where resources are prioritized to reach new patients or retain of existing patients from 2023 to 2025 before all services return to pre-COVID levels. RESULTS: The annual number of MSM prescribed PrEP, newly acquired HIV, newly diagnosed, and achieving viral load suppression (VLS) rebound quickly after HIV care returns to pre-COVID levels. However, COVID-19 service disruptions result in measurable reductions in cumulative PrEP use, VLS person-years, incidence, and an increase in deaths over the 2020-2035 period. The burden is statistically significantly larger if these effects end in 2025 instead of 2022. Prioritizing HIV care/prevention initiation over retention results in more person-years of PrEP but less VLS person-years and more deaths, influencing EHE PrEP outcomes. CONCLUSIONS: Earlier HIV care return to pre-COVID levels results in lower cumulative HIV burdens. Resource prioritization decisions may differentially affect different EHE goals.

History of Weight Cycling Is Prospectively Associated With Shorter and Poorer-Quality Sleep and Higher Sleep Apnea Risk in Diverse US Women.

BACKGROUND: Poor sleep and history of weight cycling (HWC) are associated with worse cardiovascular health, yet limited research has evaluated the association between HWC and poor sleep patterns. METHODS: The American Heart Association Go Red for Women Strategically Focused Research Network cohort at Columbia University (n = 506; mean age, 37 ± 15.7 years; 61% racial/ethnic minority) was used to evaluate the cross-sectional associations of HWC and sleep at baseline and the prospective associations of HWC from baseline with sleep at the 1-year visit. History of weight cycling, defined as losing and gaining 10 lb or more at least once (excluding pregnancy), was self-reported. Sleep duration, sleep quality, insomnia severity, and obstructive sleep apnea risk were assessed using the validated Pittsburgh Sleep Quality Index, Insomnia Severity Index, and Berlin questionnaires. Linear and logistic regression models, adjusted for age, race/ethnicity, education, health insurance status, pregnancy history, and menopausal status, were used to evaluate the relation of HWC with sleep. RESULTS: Most women reported 1 or more episodes of weight cycling (72%). In linear models of cross-sectional and prospective data, each additional weight cycling episode was related to shorter sleep duration, poorer sleep quality, longer sleep onset latency, greater insomnia severity, more sleep disturbances, lower sleep efficiency, and higher sleep medication use frequency. In the logistic models, HWC (≥1 vs 0 episodes) was associated with greater odds for short sleep, poor sleep quality, long sleep onset latency (≥26 minutes), high obstructive sleep apnea risk, and sleep efficiency lower than 85%. CONCLUSION: History of weight cycling predicted poor sleep among women, suggesting that weight maintenance may represent an important strategy to promote sleep health. The potential bidirectional relationship between HWC and sleep requires further investigation.