Physical activity-induced alterations of the gut microbiota are BMI dependent
Researchers assessed physical activity and hand-grip strength’s role in gut microbiome composition in middle-aged adults with normal and overweight body mass index. Data from 443 participants from Alberta’s Tomorrow Project suggest that BMI plays a significant role in modelling PA-induced changes in gut microbiota.
Associations between neighborhood walkability and walking following residential relocation: Findings from Alberta’s Tomorrow Project
This study aimed to estimate whether changes in neighbourhood walkability resulting from residential relocation were associated with leisure, transportation, and total walking levels. Using data from 5,977 urban adults (non-movers, movers to less walkability, and movers to more walkability), researchers found that time spent walking at follow-up was lower among those who moved to less walkable neighbourhoods, suggesting that relocating to less walkable neighbourhoods could negatively affect health.
A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population
This study evaluates different machine learning algorithms and compares their predictive performance with conventional models to predict hypertension incidence using data from 18,322 Alberta’s Tomorrow Project participants. The study found little difference in predictive performance between the machine learning algorithms and the conventional Cox PH model. The results suggest that conventional regression-based models can perform similarly to machine learning algorithms with good predictive accuracy in a moderate dataset with a reasonable number of features.
Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population
This study evaluates different machine learning algorithms and compares their predictive performance with conventional models to predict hypertension incidence using data from 18,322 Alberta’s Tomorrow Project participants. The study found little difference in predictive performance between the machine learning algorithms and the conventional Cox PH model. The results suggest that conventional regression-based models can perform similarly to machine learning algorithms with good predictive accuracy in a moderate dataset with a reasonable number of features.
Associations between neighbourhood street connectivity and sedentary behaviours in Canadian adults: Findings from Alberta’s Tomorrow Project
Researchers aimed to estimate associations between street connectivity, based on space syntax-derived street integration, and sedentary behaviours. Using data from 14,758 Alberta’s Tomorrow Project participants, they found that connectivity was positively related to various measures of sitting time and negatively associated with motor vehicle travel time.
Cross-sectional and longitudinal associations between the built environment and walking: effect modification by socioeconomic status
Using data from 703 Alberta’s Tomorrow Project participants, researchers found that changes to the built environment are not associated with changes in walking amongst adults after relocation. They also had weak findings that changes in walkability due to relocation may more strongly affect walking for adults with lower socioeconomic status.
A dietary carbohydrate – gut Parasutterella – human fatty acid biosynthesis metabolic axis in obesity and type 2 diabetes
This study aimed to characterize Parasutterella, a gut bacteria, in a European cohort. 438 participants from Alberta’s Tomorrow Project were included to validate the results of this study. Researchers found that this bacteria have a role in type 2 diabetes and obesity.
Health-Related and Behavioral Factors Associated With Lung Cancer Stage at Diagnosis: Observations From Alberta’s Tomorrow Project
This study examined sociodemographic characteristics and health-related factors and their associations with subsequent lung cancer stage at diagnosis. Using data from 221 Alberta’s Tomorrow Project participants, researchers found that a history of sunburn in the past year and more prostate-specific antigen tests were protective against late-stage lung cancer diagnosis, whereas physical activity increased late-stage cancer diagnosis odds.
Pre-diagnosis lifestyle, health history and psychosocial factors associated with stage at breast cancer diagnosis – Potential targets to shift stage earlier
This study aimed to examine associations between risk factors for breast cancer diagnosis, prior to and and at diagnosis. Some protective factors include older age at diagnosis, high household income, parity, smoking, spending time in the sun (high ultraviolet), having a mammogram, and high daily protein intake. Factors that increase risk of later stage at diagnosis include comorbidities, stressful situations, and high daily caloric intake.
Lifestyle factors and lung cancer risk among never smokers in the Canadian Partnership for Tomorrow’s Health (CanPath)
Data from 950 CanPath participants were analyzed to understand why 15-25% of lung cancers occur in never smokers. Researchers found a link between lung cancer risk, sleep, and fruit and vegetable intake amongst never smokers.