Publications by authors named "E Simonsick"
Importance: Cardiovascular health outcomes associated with noncigarette tobacco products (cigar, pipe, and smokeless tobacco) remain unclear, yet such data are required for evidence-based regulation.
Objective: To investigate the association of noncigarette tobacco products with cardiovascular health outcomes.
Design, Setting, And Participants: This cohort study was conducted within the Cross Cohort Collaboration Tobacco Working Group by harmonizing tobacco-related data and conducting a pooled analysis from 15 US-based prospective cohorts with data on the use of at least 1 noncigarette tobacco product ranging between 1948 and 2015.
Although prior studies have examined associations of personality traits with sleep, most have investigated self-reported sleep, been cross-sectional, and focused on younger and middle-aged adults. We investigated associations of personality with actigraphic sleep parameters and changes in sleep in 398 cognitively normal adults aged 40-95 years (M ± SD = 70.1 ± 12.
View Article and Find Full Text PDFArticle Synopsis
- Accelerated decline in lung function is linked to chronic respiratory diseases, and while genetics play a role, few genetic connections have been found.
- This study aimed to investigate genetic variants associated with lung function decline using genome-wide association studies (GWAS) across diverse populations in multiple cohorts.
- They identified 361 significant genetic variants potentially related to lung function declines, with some replicated in additional cohorts, indicating strong genetic influences on respiratory health.
Background: Falls in older adults increase the risk of mobility loss. Proper understanding of gait mechanisms related to falls may provide novel solutions for maintaining mobility in older adults.
Research Question: Identify fall-related gait patterns through analyzing alterations in gait parameters to walk faster than usual pace in older adults.
Context: Body composition and glucose metabolism change with aging. Whether different levels of body-mass-index (BMI) are needed to define diabetes risk across the adult lifespan is unknown.
Objective: This work aimed to investigate whether BMI similarly reflects relative fat mass (FM) and diabetes risk across age groups.