Movement profiles associated with the optimal cardiometabolic health of workers: A cluster analysis of Canadian population-based accelerometry data
Oral Presentation C2.3
DOI:
https://doi.org/10.14288/hfjc.v14i3.655Keywords:
Workers, Accelerometry, Population-Based Studies, Cluster Analysis, Cardiometabolic HealthAbstract
Background: There is a scarcity of population-based, accelerometry data describing the movement patterns of workers at work and outside work, while the relationship between variations in workers' movements and their health effects is not well understood. By examining the different movement patterns of workers, we can better recommend movement patterns that are both feasible and beneficial for optimal health. Purpose: To develop cluster profiles from accelerometry-based population-level movement data of workers at work and outside work, and identify which profiles are associated with optimal cardiometabolic health. Methods: Accelerometry and clinically-measured health outcome data from 11,250 working adults who responded to the Canada Health Measures Survey (2007 to 2017) were examined. A cluster analysis statistical data-mining approach was used to examine the common types of distinct movement patterns based on the average time spent in sedentary behaviour (SB), light-, moderate-, and vigorous- intensity physical activity (PA) over a week. Multivariable regressions models were fit to examine associations between each movement cluster and cardiometabolic risk markers (blood pressure, cholesterol, waist circumference, triglycerides) and 10-year risk score of atherosclerotic cardiovascular disease. Model estimates were examined for differences according to gender, age, and BMI. Clusters were also described by occupational and industry classification codes. Results: The cluster profile corresponding with engaging in mostly moderate-to-vigorous PA over the waking day was associated with the most optimal cardiometabolic health outcomes for the full sample and this finding was consistent across gender, age, and BMI. The least optimal cardiometabolic profile was associated with workers with the lowest movement counts over the working day, although this varied for certain sample subgroups. Conclusions: The healthiest profile of workers were those who engaged in the highest intensity of PA over their work and non-work hours. The unhealthiest worker profile differed according to gender, age, and BMI status. The findings can inform health promotion strategies which take into account the real-world movement profiles of workers. Funding: Canadian Institutes for Health Research (CIHR) Project Grant (#FRN162244).
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Copyright (c) 2021 Aviroop Biswas, Cynthia Chen, Stephanie A. Prince, Peter M. Smith, Cameron M. Mustard
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