Title: Age and Sex-Specific Associations in Health Risk Factors for Chronic Disease: Evidence from the Atlantic Partnership for Tomorrow’s Health (PATH) Cohort Journal: Canadian Journal on Aging Authors: Vanessa DeClercq and Ellen Sweeney Abstract: The objective of this study was to discern health risk factors for chronic disease by age and sex in a Canadian cohort. Participants of the Atlantic Partnership for Tomorrow’s Health (PATH) cohort with health risk factor data (physical activity, smoking, alcohol consumption, diet, body mass index [BMI]) were included (n = 16,165). Multivariable logistic regression models were used to evaluate the relationship among health risk factors, age, and sex. Regression analysis revealed that the odds of engaging in high levels of physical activity and having a BMI ≥ 25 was lower for females than males across all age groups, whereas the odds of abdominal obesity was substantially higher for females of all ages than for males. The odds of habitually consuming alcohol was lower for females of all ages than for males, and the odds of being a former/current smoker was lower for older (57–74 years of age) females than for males. The odds of consuming five or more servings of fruit and vegetables per day was higher for females of all ages than for males. There are evident differences in health risk factors for males and for females, as well as across age groups, and public health efforts need to account for the role played by sex and age in addressing chronic disease burden in Canadian adults.

Journal: Preventive Medicine Authors: Ellen Sweeney, Yunsong Cui, Zhijie Michael Yu, Trevor JB Dummer, Vanessa DeClercq, Cynthia Forbes, Scott A Grandy, Melanie R Keats, Anil Adisesh Abstract We evaluated the relationship between mental health and shift work in the Atlantic Partnership for Tomorrow’s Health (PATH) cohort study. In a matched study with 12,413 participants, including 4155 shift workers and 8258 non-shift workers, we utilized general linear models and logistic regression models to assess the differences in depression, anxiety, and self-rated health. Shift workers reported higher levels of each of the mental health-related domains compared to non-shift workers. There was a significant increased risk of depression (OR = 1.13, 95% CI, 1.00–1.27) and poor self-rated health (OR = 1.13, 95% CI, 1.14–1.55) among shift workers compared to non-shift workers. Shift workers were more likely to have increased rates of depression and poor self-rated health, as well as depressive and anxiety symptom scores compared to non-shift workers. As a result, shift workers may be at increased risk of comorbidity, poor quality of life, missed work, and early retirement.   Doi: https://doi.org/10.1016/j.ypmed.2021.106697

Journal: The Journal of Clinical Endocrinology & Metabolism Authors: Hertzel C Gerstein, Eric E Smith, Chinthanie Ramasundarahettige, Dipika Desai, Philip Awadalla, Philippe Broet, Sandra Black, Trevor J B Dummer, Jason Hicks, Alan Moody, Jean-Claude Tardif, Koon K Teo, Jennifer Vena, Salim Yusuf, Douglas S Lee, Matthias G Friedrich, Sonia S Anand Abstract: Background Diabetes is a risk factor for cerebrovascular disease and cognitive impairment. The anatomical basis for this is uncertain. Methods The Canadian Alliance for Healthy Hearts and Minds collected brain and carotid magnetic resonance imaging (MRI) and 2 cognitive tests (the Digit Symbol Substitution Test and the Montreal Cognitive Assessment test) in a cross-sectional sample of men and women. Brain MRIs identified brain infarcts (BI), lacunar BI, high white matter hyperintensity (WMH), vascular brain injury (VBI; BI or high WMH), and small vessel VBI (lacunar BI or high WMH). Carotid MRIs estimated carotid wall volume, a measure of subclinical atherosclerosis. Cognitive scores were standardized to each site’s mean score, and cognitive impairment was identified by 1 or both test scores ≤1 standard deviation below the site’s mean score on that test. Results The 7733 participants included 495 participants (6.4%) with diabetes, of whom 388 were taking diabetes drugs. After age and sex adjustment, diabetes was independently associated with BI (odds ratio [OR] 1.53, 95% confidence interval [CI] 1.05, 2.24), VBI (OR 1.64, 95% CI 1.26, 2.13), small vessel VBI (OR 1.67, 95% CI 1.28, 2.19), and cognitive impairment (OR 1.47, 95% CI 1.20, 1.80). The association between diabetes and small vessel VBI persisted after adjustment for cerebrovascular disease risk factors and nonlacunar infarcts (OR 1.52, 95% CI 1.15, 2.01), and the association with cognitive impairment persisted after adjustment for small vessel VBI (OR 1.27, 95% CI 1.03, 1.56). Conclusion Small vessel disease characterizes much of the relationship between diabetes and VBI. However, additional factors are required to disentangle the relationship between diabetes and cognitive impairment. Link: https://doi.org/10.1210/clinem/dgaa815