Authors: DeClercq, V., Cui, Y., Forbes, C., Grandy, S., Keats, M., Parker, L., Sweeney, E., Yu, Z.M., Dummer, T.J.B. (2017) Journal: Nutrients, 9(10). doi:10.3390/nu9101155 Abstract: The aim of this study was to examine diet quality among participants in the Atlantic Partnership for Tomorrow’s Health (PATH) cohort and to assess the association with adiposity. Data were collected from participants (n = 23,768) aged 35–69 years that were residents of the Atlantic Canadian provinces. Both measured and self-reported data were used to examine adiposity (including body mass index (BMI), abdominal obesity, waist-to-hip ratio and fat mass) and food frequency questionnaires were used to assess diet quality. Overall, diet quality was statistically different among provinces. Of concern, participants across all the provinces reported consuming only 1–2 servings of vegetables and 1–2 servings fruit per day. However, participants also reported some healthy dietary choices such as consuming more servings of whole grains than refined grains, and eating at fast food restaurants ≤1 per month. Significant differences in BMI, body weight, percentage body fat, and fat mass index were also observed among provinces. Adiposity measures were positively associated with consumption of meat/poultry, fish, snack food, sweeteners, diet soft drinks, and frequenting fast food restaurants, and inversely associated with consumption of whole grains and green tea. Although all four provinces are in the Atlantic region, diet quality vary greatly among provinces and are associated with adiposity. Link: http://www.mdpi.com/2072-6643/9/10/1155

Authors: Keats, M., Cui, Y., DeClercq, V., Dummer, T.J.B., Forbes, C., Grandy, S., Hicks, J., Sweeney, E., Yu, Z.M., Parker, L. (2017). Journal: Preventive Medicine, 105. Abstract: Owing to an aging population and medical advances, the anticipated growth and prevalence of multimorbidity has been recognized as a significant challenge and priority in health care settings. Although physical activity has been shown to play a vital role in the primary and secondary prevention of chronic disease, much less is known about the relationship between physical activity and multimorbidity. The objective of the present study was to examine the relationship between physical activity levels and multimorbidity in male and female adults after adjusting for key demographic, geographical, and lifestyle factors. The study drew data from a prospective cohort in Atlantic Canada (2009-2015). The sample included 18,709 participants between the ages of 35-69. Eighteen chronic diseases were identified. Physical activity levels were estimated based on the long form of the International Physical Activity Questionnaire. Using logistic regression analysis, we found that multimorbid individuals were significantly more likely to be physically inactive (OR=1.26; 95% CI 1.10, 1.44) after adjusting for key sociodemographic and lifestyle characteristics. Additional stratified analyses suggest that the magnitude of the effect between multimorbidity and physical activity was stronger for men (OR=1.41; 95% CI 1.12, 1.79) than women (OR=1.18; CI 1.00, 1.39) and those living in rural (OR=1.43; CI 1.10, 1.85) versus urban (OR=1.20; CI 1.02, 141) areas. Given the generally low levels of physical activity across populations and a growing prevalence of multimorbidity, there is a need for a prospective study to explore causal associations between physical activity, multimorbidity, and health outcomes. Link: doi: https://doi.org/10.1016/j.ypmed.2017.10.013