Background: Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture.
View Article and Find Full Text PDFBackground: Sedentary behavior among breast cancer survivors is associated with increased risk of poor physical function and worse quality of life. While moderate to vigorous physical activity can improve outcomes for cancer survivors, many are unable to engage in that intensity of physical activity. Decreasing sitting time may be a more feasible behavioral target to potentially mitigate the impact of cancer and its treatments.
View Article and Find Full Text PDFMotivation: Genome-wide association studies (GWAS) have largely failed to identify most of the genetic basis of highly heritable diseases and complex traits. Recent work has suggested this could be because many genetic variants, each with individually small effects, compose their genetic architecture, limiting the power of GWAS, given currently obtainable sample sizes. In this scenario, Bonferroni-derived thresholds are severely underpowered to detect the vast majority of associations.
View Article and Find Full Text PDFBackground: Heightened stigma surrounding the action of smoking may decrease the likelihood that individuals who engage in smoking identify with the label 'smoker'. Non-identifying smokers (NIS) may undermine accurate smoking prevalence estimates and can be overlooked by tobacco control efforts.
Objective: We sought to characterise NIS in a cross-sectional study using a sample representative of the population of adults (>18 years) in California who reported smoking at least 100 cigarettes in their lifetime, smoking at least some days and at least once in the last 30 days (n=1698).
Objective: To assess whether smoking ban policies are associated with smoking reduction and quit attempts among California smokers.
Methods: Data were examined for 1718 current smokers from follow-up telephone interviews conducted in 2011 of persons previously identified as smokers in a representative sample of the adult population of California. Population weighted logistic regressions controlling for demographic and other variables were used to evaluate the association between smoking ban policies (home, work, and town) and changes in tobacco use (past year quit attempt or reduction in smoking rate).