Publications by authors named "L Lamerato"
Objectives: The prevalence and associated adverse effects of obesity on health and healthcare cost make it a primary public health concern. However, individuals with the physiological features of obesity may be underdiagnosed and undertreated. We aimed to determine the prevalence of obesity diagnoses and obesity-related treatments in an integrated health system and determine the factors associated with receiving an obesity diagnosis and treatment for this indication.
View Article and Find Full Text PDFIntroduction: The COVID-19 pandemic has increased the global experience of anxiety and depression owing to social isolation and government-mandated quarantine for transmission reduction. To date, literature surrounding the mental health effects of COVID-19 for the U.S.
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- This study evaluated the prevalence of respiratory syncytial virus (RSV) in patients with medically attended acute respiratory illnesses (MAARI) over three seasons, shedding light on its commonality compared to influenza.
- Through the Michigan Ford Influenza Vaccine Effectiveness study, 4,442 participants aged 6 months and older were tested for RSV and influenza, revealing that 9.9% were positive for RSV, particularly common in children aged 6 months to 4 years.
- The findings highlighted that adults with RSV-MAARI had higher multimorbidity indices than those with influenza, emphasizing the need for better awareness and clinical decision-making regarding RSV vaccination strategies, especially in older adults.
Article Synopsis
- * A study involving 64 participants analyzed the relationship between BTEX exposure and DNA methylation during the second trimester, finding 46 differentially methylated regions (DMRs) significantly associated with BTEX exposure.
- * Most of the identified DMRs showed decreased methylation levels as BTEX exposure increased, with notable biological pathways affected, including those related to brain signaling and taste perception, indicating BTEX's potential effects on pregnant women's health.
To validate algorithms based on electronic health data to identify composition of lines of therapy (LOT) in multiple myeloma (MM). This study used available electronic health data for selected adults within Henry Ford Health (Michigan, USA) newly diagnosed with MM in 2006-2017. Algorithm performance in this population was verified via chart review.
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