Samuel Quan, Verena Menec, Megan O'Connell, Denise Cloutier, Nancy Newall, Robert Tate, Philip St John
{"title":"农村地区肥胖患病率和体重指数升高:一项横断面研究-加拿大老龄化纵向研究。","authors":"Samuel Quan, Verena Menec, Megan O'Connell, Denise Cloutier, Nancy Newall, Robert Tate, Philip St John","doi":"10.4103/cjrm.cjrm_55_21","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Obesity is an important public health concern, and large studies of rural-urban differences in prevalence of obesity are lacking. Our purpose is to compare body mass index (BMI) and obesity in Canada using an expanded definition of rurality.</p><p><strong>Methods: </strong>A cross-sectional analysis of self-reported BMI across diverse communities of Canadians aged 45-85 years was conducted using data from the Canadian Longitudinal Study on Aging (CLSA), a national sample representative of community-dwelling residents. Rurality was identified in the CLSA based on residential postal codes, which were divided into 4 categories: urban, peri-urban, mixed and rural. Logistic regression models were constructed to calculate adjusted odds ratios (aORs) with 95% confidence intervals (95% CIs) between obesity (BMI ≥30 kg/m<sup>2</sup> from self-reported weight and height) and rurality, adjusting for age, sex, province, marital status, number of residents in household and household income.</p><p><strong>Results: </strong>Twenty-one thousand one hundred and twenty-six Canadian residents aged 45-85 years, surveyed during 2010-2015, were included. 26.8% were obese. Obesity was less prevalent amongst urban (25.2%) than rural (30.3%, P < 0.0001), mixed (28.7%, P < 0.0001) or peri-urban communities (28.1%, P < 0.0001). When compared to urban areas, the aOR (95% CI) for obesity was 1.09 (1.00-1.20) in rural regions and 1.20 (1.08-1.35) in peri-urban settings. In areas of mixed urban and rural residence, the aOR was 1.12 (0.99-1.27).</p><p><strong>Conclusion: </strong>One in four Canadian adults were obese. Living in a non-urban setting is an independent risk factor for obesity. Rural-urban health disparities could underlie rural-urban differences, but further research is needed.</p>","PeriodicalId":44615,"journal":{"name":"Canadian Journal of Rural Medicine","volume":" ","pages":"148-157"},"PeriodicalIF":0.7000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prevalence of obesity and elevated body mass index along a progression of rurality: A cross-sectional study - The Canadian Longitudinal Study on Aging.\",\"authors\":\"Samuel Quan, Verena Menec, Megan O'Connell, Denise Cloutier, Nancy Newall, Robert Tate, Philip St John\",\"doi\":\"10.4103/cjrm.cjrm_55_21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Obesity is an important public health concern, and large studies of rural-urban differences in prevalence of obesity are lacking. Our purpose is to compare body mass index (BMI) and obesity in Canada using an expanded definition of rurality.</p><p><strong>Methods: </strong>A cross-sectional analysis of self-reported BMI across diverse communities of Canadians aged 45-85 years was conducted using data from the Canadian Longitudinal Study on Aging (CLSA), a national sample representative of community-dwelling residents. Rurality was identified in the CLSA based on residential postal codes, which were divided into 4 categories: urban, peri-urban, mixed and rural. Logistic regression models were constructed to calculate adjusted odds ratios (aORs) with 95% confidence intervals (95% CIs) between obesity (BMI ≥30 kg/m<sup>2</sup> from self-reported weight and height) and rurality, adjusting for age, sex, province, marital status, number of residents in household and household income.</p><p><strong>Results: </strong>Twenty-one thousand one hundred and twenty-six Canadian residents aged 45-85 years, surveyed during 2010-2015, were included. 26.8% were obese. Obesity was less prevalent amongst urban (25.2%) than rural (30.3%, P < 0.0001), mixed (28.7%, P < 0.0001) or peri-urban communities (28.1%, P < 0.0001). When compared to urban areas, the aOR (95% CI) for obesity was 1.09 (1.00-1.20) in rural regions and 1.20 (1.08-1.35) in peri-urban settings. In areas of mixed urban and rural residence, the aOR was 1.12 (0.99-1.27).</p><p><strong>Conclusion: </strong>One in four Canadian adults were obese. Living in a non-urban setting is an independent risk factor for obesity. Rural-urban health disparities could underlie rural-urban differences, but further research is needed.</p>\",\"PeriodicalId\":44615,\"journal\":{\"name\":\"Canadian Journal of Rural Medicine\",\"volume\":\" \",\"pages\":\"148-157\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Journal of Rural Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/cjrm.cjrm_55_21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Rural Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/cjrm.cjrm_55_21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Prevalence of obesity and elevated body mass index along a progression of rurality: A cross-sectional study - The Canadian Longitudinal Study on Aging.
Introduction: Obesity is an important public health concern, and large studies of rural-urban differences in prevalence of obesity are lacking. Our purpose is to compare body mass index (BMI) and obesity in Canada using an expanded definition of rurality.
Methods: A cross-sectional analysis of self-reported BMI across diverse communities of Canadians aged 45-85 years was conducted using data from the Canadian Longitudinal Study on Aging (CLSA), a national sample representative of community-dwelling residents. Rurality was identified in the CLSA based on residential postal codes, which were divided into 4 categories: urban, peri-urban, mixed and rural. Logistic regression models were constructed to calculate adjusted odds ratios (aORs) with 95% confidence intervals (95% CIs) between obesity (BMI ≥30 kg/m2 from self-reported weight and height) and rurality, adjusting for age, sex, province, marital status, number of residents in household and household income.
Results: Twenty-one thousand one hundred and twenty-six Canadian residents aged 45-85 years, surveyed during 2010-2015, were included. 26.8% were obese. Obesity was less prevalent amongst urban (25.2%) than rural (30.3%, P < 0.0001), mixed (28.7%, P < 0.0001) or peri-urban communities (28.1%, P < 0.0001). When compared to urban areas, the aOR (95% CI) for obesity was 1.09 (1.00-1.20) in rural regions and 1.20 (1.08-1.35) in peri-urban settings. In areas of mixed urban and rural residence, the aOR was 1.12 (0.99-1.27).
Conclusion: One in four Canadian adults were obese. Living in a non-urban setting is an independent risk factor for obesity. Rural-urban health disparities could underlie rural-urban differences, but further research is needed.
期刊介绍:
The Canadian Journal of Rural Medicine (CJRM) is a quarterly peer-reviewed journal available in print form and on the Internet. It is the first rural medical journal in the world indexed in Index Medicus, as well as MEDLINE/PubMed databases. CJRM seeks to promote research into rural health issues, promote the health of rural and remote communities, support and inform rural practitioners, provide a forum for debate and discussion of rural medicine, provide practical clinical information to rural practitioners and influence rural health policy by publishing articles that inform decision-makers.