Patterns and predictors of sitting time over ten years in a large population-based Canadian sample: Findings from the Canadian Multicentre Osteoporosis Study (CaMos)
Our objective was to describe patterns and predictors of sedentary behavior (sitting time) over 10 years among a large Canadian cohort. Data are from the Canadian Multicentre Osteoporosis Study, a prospective study of women and men randomly selected from the general population. Respondents reported socio-demographics, lifestyle behaviors and health outcomes in interviewer-administered questionnaires; weight and height were measured. Baseline data were collected between 1995 and 1997 (n = 9418; participation rate = 42%), and at 5- (n = 7648) and 10-year follow-ups (n = 5567). Total sitting time was summed across domain-specific questions at three time points and dichotomized into "low" (≤ 7 h/day) and "high" (> 7 h/day), based on recent meta-analytic evidence on time sitting and all-cause mortality. Ten-year sitting patterns were classified as "consistently high", "consistently low", "increased", "decreased", and "mixed". Predictors of sedentary behavior patterns were explored using chi-square tests, ANOVA and logistic regression. At baseline (mean age = 62.1 years ± 13.4) average sitting was 6.9 h/day; it was 7.0 at 5and 10-year follow-ups (p for trend = 0.12). Overall 23% reported consistently high sitting time, 22% consistently low sitting, 14% decreased sitting, 17% increased sitting with 24% mixed patterns. Consistently high sitters were more likely to be men, university educated, full-time employed, obese, and to report consistently low physical activity levels. This is one of the first population-based studies to explore patterns of sedentary behavior (multi-domain sitting) within men and women over years. Risk classification of sitting among many adults changed during follow-up. Thus, studies of sitting and health would benefit from multiple measures of sitting over time.
sedentary behavior bone health longitudinal, sitting time osteoporosis risk, Canadian Multicentre Osteoporosis Study, physical activity sitting time patterns, sedentary lifestyle bone mineral density, population-based sedentary behavior, sitting time predictors older adults, prolonged sitting fracture risk, sedentary time musculoskeletal health, inactivity bone loss prevention
PMID 28180056 28180056 DOI 10.1016/j.pmedr.2017.01.015 10.1016/j.pmedr.2017.01.015
Cite this article
Gebel, K., Pont, S., Ding, D., Bauman, A. E., Chau, J. Y., Berger, C., Prior, J. C., & CaMos Research Group (2017). Patterns and predictors of sitting time over ten years in a large population-based Canadian sample: Findings from the Canadian Multicentre Osteoporosis Study (CaMos). *Preventive medicine reports*, *5*, 289-294. https://doi.org/10.1016/j.pmedr.2017.01.015
Gebel K, Pont S, Ding D, Bauman AE, Chau JY, Berger C, et al. Patterns and predictors of sitting time over ten years in a large population-based Canadian sample: Findings from the Canadian Multicentre Osteoporosis Study (CaMos). Prev Med Rep. 2017;5:289-294. doi:10.1016/j.pmedr.2017.01.015
Gebel, K., et al. "Patterns and predictors of sitting time over ten years in a large population-based Canadian sample: Findings from the Canadian Multicentre Osteoporosis Study (CaMos)." *Preventive medicine reports*, vol. 5, 2017, pp. 289-294.
Lisa Langsetmo et al., 2010
Open Access
BMC Musculoskelet Disord
Background: Previous research has shown that underlying dietary patterns are related to the risk of many different adverse health outcomes, but the relationship of these underlying patterns to skeleta...
Bone HealthPerimenopause/MenopauseResearch Methodology
Background: Self-reported health status measures, like the Short Form 36-item Health Survey (SF-36), can provide rich information about the overall health of a population and its components, such as p...
Wilma M Hopman et al., 2014Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
Purpose: To prospectively assess changes in health-related quality of life (HRQOL) over 10 years, by age and sex, and to compare measured within-person change to estimates of change based on cross-sec...
Lisa M Lix et al., 2012
Open Access
BMC Public Health
Background: Population-based administrative data have been used to study osteoporosis-related fracture risk factors and outcomes, but there has been limited research about the validity of these data f...