RESUMO
Although reinfections with SARS-CoV-2 have occurred in the United States with increasing frequency, U.S. epidemiologic trends in reinfections and associated severe outcomes have not been characterized. Weekly counts of SARS-CoV-2 reinfections, total infections, and associated hospitalizations and deaths reported by 18 U.S. jurisdictions during September 5, 2021-December 31, 2022, were analyzed overall, by age group, and by five periods of SARS-CoV-2 variant predominance (Delta and Omicron [BA.1, BA.2, BA.4/BA.5, and BQ.1/BQ.1.1]). Among reported reinfections, weekly trends in the median intervals between infections and frequencies of predominant variants during previous infections were calculated. As a percentage of all infections, reinfections increased substantially from the Delta (2.7%) to the Omicron BQ.1/BQ.1.1 (28.8%) periods; during the same periods, increases in the percentages of reinfections among COVID-19-associated hospitalizations (from 1.9% [Delta] to 17.0% [Omicron BQ.1/BQ.1.1]) and deaths (from 1.2% [Delta] to 12.3% [Omicron BQ.1/BQ.1.1]) were also substantial. Percentages of all COVID-19 cases, hospitalizations, and deaths that were reinfections were consistently higher across variant periods among adults aged 18-49 years compared with those among adults aged ≥50 years. The median interval between infections ranged from 269 to 411 days by week, with a steep decline at the start of the BA.4/BA.5 period, when >50% of reinfections occurred among persons previously infected during the Alpha variant period or later. To prevent severe COVID-19 outcomes, including those following reinfection, CDC recommends staying up to date with COVID-19 vaccination and receiving timely antiviral treatments, when eligible.
Assuntos
COVID-19 , SARS-CoV-2 , Adolescente , Adulto , Humanos , COVID-19/diagnóstico , COVID-19/epidemiologia , Vacinas contra COVID-19 , Hospitalização/tendências , Reinfecção/epidemiologia , Mortalidade HospitalarRESUMO
OBJECTIVE: This study examined the association of adolescent BMI trajectory with adult metabolic syndrome (MetSyn) and with intergenerational obesity. METHODS: This study used data from the National Heart, Lung, and Blood Institute (NHLBI) Growth and Health Study (1987-1997). Data from the 20-year follow-up (2016-2019) study were included from the original participants (N = 624) and their children (N = 645). Adolescent BMI trajectories were identified using latent trajectory modeling. Mediation analysis using logistic regression models was performed to estimate confounder-adjusted odds ratios (OR) and 95% CI between adolescent BMI trajectory and adult MetSyn. Using similar methods, the association between BMI trajectory and offspring obesity was examined. RESULTS: Latent trajectory modeling identified four patterns: "weight loss then gain" (N = 62); "persistently normal" (N = 374); "persistently high BMI" (N = 127); and "weight gain then loss" (N = 61). Women who had a persistently high BMI trajectory had twice the odds of having children who met the definition for obesity compared with the persistently normal group, adjusting for adult BMI (OR: 2.76; 95% CI: 1.39-5.46). None of the trajectory groups was associated with adult MetSyn compared with the persistently normal group. CONCLUSIONS: Intermittent adolescent obesity may not confer MetSyn risk during adulthood. However, maternal adolescent BMI trajectories that are persistently high may increase the odds of intergenerational obesity among offspring.