The contributions of neighbourhood design in promoting metabolic health
Using data from 6,718 Alberta’s Tomorrow Project participants, the researchers assessed associations between neighbourhood built environment and metabolic syndrome, or the presence of at least three clinical risk factors among lipid levels, blood pressure, and waist circumference. They found that neighbourhoods with more points of interest and greater overall active living environment-friendliness were associated with fewer metabolic syndrome risk factors and lower odds of metabolic syndrome. Higher dwelling density was also linked to having fewer metabolic syndrome risk factors.
Development and external validation of partial proportional odds risk prediction models for cancer stage at diagnosis among males and females in Canada
This study examined health patterns in Alberta’s Tomorrow Project participants before cancer diagnosis to find factors related to cancers caught early versus late. The researchers found factors then tested them in a similar group from the British Columbia Generations Project.
Time spent in the sun and the risk of developing non-Hodgkin lymphoma: a Canadian cohort study
This study’s objective was to explore the relationship of sun behaviour patterns with non-Hodgkin lymphoma (NHL) risk. Using data from 79,803 Alberta’s Tomorrow Project, CARTaGENE, and Ontario Health Study participants, the researchers found a protective effect of moderate time spent in the sun on NHL risk
Urban design and cardio-metabolic risk factors
This study aimed to estimate associations between neighbourhood built environment metrics and cardiovascular health. Using data from 7171 Alberta’s Tomorrow Project participants, researchers found that a new measure of neighbourhood design showed lower blood pressure in men and lower risk of being overweight or obese in men and women, whereas traditional measures did not show this association.
Non-fasting lipids and cardiovascular disease in those with and without diabetes in Alberta’s Tomorrow Project: A prospective cohort study
This study’s objective was to assess the relationship of non-fasting remnant cholesterol (RC) with cardiovascular disease (CVD) in those with and without diabetes using data from 13,631 Alberta’s Tomorrow Project participants. Researchers found that elevated non-fasting RC was associated with increased CVD risk in middle and older-aged adults without diabetes.
Mental health service use and associated predisposing, enabling and need factors in community living adults and older adults across Canada
The authors utilized data from the CanPath COVID-19 health survey (May to December 2020) to conduct multivariate logistic regression analysis to determine the association between mental health service use (MHSU) and predisposing, enabling, and need factors — derived from Andersen’s model of healthcare-seeking behaviour — among five regional cohorts. Among the 45,542 adults in the study population, 6.3% of respondents reported MHSU and need factors were consistently associated with MHSU.
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.
Impact of Comorbidity on Hospitalization and Emergency Room Visits in Adults With Diabetes: A Longitudinal Study of Alberta’s Tomorrow Project
Using data from Alberta’s Tomorrow Project, Ye et al. investigated the impact of comorbidities on hospitalization and emergency room visits in people with diabetes. Over the 5-year study period, the authors observed a significant association between the number of comorbidities and increased healthcare utilization among the 2,110 cases in the study population.
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.