OBJECTIVE: To describe regional and rural-urban differences in weight and weight loss patterns in Canadian adults. DESIGN: Population-based, cross-sectional surveys. SETTING: Nine Canadian provinces (excluding Nova Scotia) from 1986 to 1992. PARTICIPANTS: A probability sample of 27,120 men and women aged 18 to 74 years was selected using the health insurance registration files in each province. Anthropometry was performed on 18,043 participants (67%). OUTCOME MEASURES: Region of Canada (Atlantic, central, western); rural or urban residence (rural if participant resided in a community whose population was < 10,000, urban if population > or = 10,000); body mass index (BMI, kg/m2); percentage of participants trying to lose weight; reasons for trying to lose weight; level of leisure-time physical activity. RESULTS: Overall, mean BMI values in rural men (26.1 kg/m2) and women (25.3 kg/m2) were not significantly different from urban counterparts (25.7 kg/m2 and 24.8 kg/m2, respectively). Similarly, obesity (BMI > or = 27 kg/m2) was as prevalent in rural men (37%) and women (30%) as in urban participants (34% and 28%, respectively). However, a difference was observed in western Canada where 41% of rural and 34% of urban men were obese (odds ratio [OR], adjusted for age and education = 1.29; 95% confidence interval [CI] 1.06, 1.57), as were 35% of rural and 25% of urban women (OR, adjusted for age and education = 1.47; 95% CI 1.17, 1.84). Among men in western Canada, the rural-urban differences were greatest in the 25-64 year age group, whereas in women the differences were present at all ages. Overall, in Canada, urban men (26%) are more likely than rural men (23%) to be trying to lose weight; the reverse was true for women (39% and 42%, respectively). CONCLUSION: Considerable regional and rural-urban differences are seen in the patterns of weight and weight loss in Canada. A fuller understanding of the underlying behavioural determinants of these differences is needed. On the basis of such an understanding, effective programs to promote healthy weights for individuals and communities in these areas might be developed.
OBJECTIVE: To describe regional and rural-urban differences in weight and weight loss patterns in Canadian adults. DESIGN: Population-based, cross-sectional surveys. SETTING: Nine Canadian provinces (excluding Nova Scotia) from 1986 to 1992. PARTICIPANTS: A probability sample of 27,120 men and women aged 18 to 74 years was selected using the health insurance registration files in each province. Anthropometry was performed on 18,043 participants (67%). OUTCOME MEASURES: Region of Canada (Atlantic, central, western); rural or urban residence (rural if participant resided in a community whose population was < 10,000, urban if population > or = 10,000); body mass index (BMI, kg/m2); percentage of participants trying to lose weight; reasons for trying to lose weight; level of leisure-time physical activity. RESULTS: Overall, mean BMI values in rural men (26.1 kg/m2) and women (25.3 kg/m2) were not significantly different from urban counterparts (25.7 kg/m2 and 24.8 kg/m2, respectively). Similarly, obesity (BMI > or = 27 kg/m2) was as prevalent in rural men (37%) and women (30%) as in urban participants (34% and 28%, respectively). However, a difference was observed in western Canada where 41% of rural and 34% of urban men were obese (odds ratio [OR], adjusted for age and education = 1.29; 95% confidence interval [CI] 1.06, 1.57), as were 35% of rural and 25% of urban women (OR, adjusted for age and education = 1.47; 95% CI 1.17, 1.84). Among men in western Canada, the rural-urban differences were greatest in the 25-64 year age group, whereas in women the differences were present at all ages. Overall, in Canada, urban men (26%) are more likely than rural men (23%) to be trying to lose weight; the reverse was true for women (39% and 42%, respectively). CONCLUSION: Considerable regional and rural-urban differences are seen in the patterns of weight and weight loss in Canada. A fuller understanding of the underlying behavioural determinants of these differences is needed. On the basis of such an understanding, effective programs to promote healthy weights for individuals and communities in these areas might be developed.
Authors: Sarka Lisonkova; Matthew D Haslam; Leanne Dahlgren; Innie Chen; Anne R Synnes; Kenneth I Lim Journal: CMAJ Date: 2016-09-26 Impact factor: 8.262
Authors: Yue Chen; Donna C Rennie; Chandima P Karunanayake; Bonnie Janzen; Louise Hagel; William Pickett; Roland Dyck; Joshua Lawson; James A Dosman; Punam Pahwa Journal: BMC Public Health Date: 2015-07-24 Impact factor: 3.295
Authors: Baukje Miedema; Stacey A Reading; Ryan A Hamilton; Katherine S Morrison; Ashley E Thompson Journal: BMJ Open Date: 2015-02-04 Impact factor: 2.692
Authors: Simo Näyhä; Tiina Lankila; Arja Rautio; Markku Koiranen; Tuija H Tammelin; Anja Taanila; Jarmo Rusanen; Jaana Laitinen Journal: BMC Public Health Date: 2013-10-08 Impact factor: 3.295