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 5- and 10-year follow-ups (pfor 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.
Centre for Chronic Disease Prevention, College of Public Health, Medical and Veterinary Sciences, James Cook University, 14-88 McGregor Road, Smithfield, Queensland 4878, Australia; School of Allied Health, Australian Catholic University, 33 Berry St, North Sydney, NSW 2060, Australia; Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Level 6, The Charles Perkins Centre (D17), Sydney, NSW 2006, Australia.
Klaus
K
Gebel
New South Wales Ministry of Health, 73 Miller St, North Sydney, NSW 2060, Australia.
Sarah
S
Pont
Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Level 6, The Charles Perkins Centre (D17), Sydney, NSW 2006, Australia; Centre for Chronic Disease Prevention, College of Public Health, Medical and Veterinary Sciences, James Cook University, 14-88 McGregor Road, Smithfield, Queensland 4878, Australia.
Ding
D
Ding
Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Level 6, The Charles Perkins Centre (D17), Sydney, NSW 2006, Australia.
Adrian E
AE
Bauman
Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Level 6, The Charles Perkins Centre (D17), Sydney, NSW 2006, Australia.
Josephine Y
JY
Chau
CaMos National Coordinating Centre, McGill University Health Center, 3801 University Street, Pavilion Ross R4-76, Montreal, Quebec H3A 2B4, Canada.
Claudie
C
Berger
Centre for Menstrual Cycle and Ovulation Research, Medicine/Endocrinology, University of British Columbia, The Gordon and Leslie Diamond Health Care Centre, Room 4111, 4th Floor, 2775 Laurel Street, Vancouver BC V5Z 1M9, Canada.
Jerilynn C
JC
Prior
Cohort study; Population-based cohort; Predictor; Sedentary behavior; Trend