Carukshi Arambepola , Dulitha Fernando , Ruvan Ekanayake
{"title":"测量斯里兰卡成年人肥胖相关冠心病风险的简单有效工具","authors":"Carukshi Arambepola , Dulitha Fernando , Ruvan Ekanayake","doi":"10.1016/j.precon.2007.08.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The significance of anthropometric measures of obesity that determine coronary-heart-disease (CHD) risk varies among populations. This study compares waist circumference (WC) and body mass index (BMI) in identifying the “obesity-related-CHD risk” among Sri Lankan adults.</p></div><div><h3>Methods</h3><p>A population-based cross-section of 515 adults aged 20–64 years, residing in the district of Colombo in 2004 was selected by a multi-stage, stratified, probability sampling method. WC, height and weight were measured. Demographic, socio-economic and lifestyle characteristics, smoking and obesity-related-CHD risk factors (hypertension, dyslipidaemia, diabetes) were assessed by questionnaires, physical measurements and biochemical assessments. “Obesity-related CHD risk” was defined by the presence of ⩾1 obesity-related-CHD risk factors.</p></div><div><h3>Results</h3><p>Compared to BMI, WC was a stronger correlate of systolic and diastolic blood pressure, triglycerides among both sexes and of plasma glucose among males. It was also an independent predictor of obesity-related-CHD risk in both males (beta co-efficient<!--> <!-->=<!--> <!-->0.046; standard error<!--> <!-->=<!--> <!-->0.013) and females (0.024;<!--> <!-->0.012) in contrast to BMI, which was significant only among males (0.138;<!--> <!-->0.037) in the logistic regression models adjusted for confounders. At the same level of obesity-related-CHD risk corresponding with BMI of 25<!--> <!-->kg/m<sup>2</sup> (OR<!--> <!-->=<!--> <!-->1.7) and 30<!--> <!-->kg/m<sup>2</sup> (OR<!--> <!-->=<!--> <!-->3.5), the corresponding WC values were 90.5<!--> <!-->cm and 105.5<!--> <!-->cm for males and 100<!--> <!-->cm and 129<!--> <!-->cm for females. The derived optimal risk thresholds of WC for identifying obesity-related-CHD risk was 88.5<!--> <!-->cm for males and 82<!--> <!-->cm for females.</p></div><div><h3>Conclusions</h3><p>WC with its sex-specific cutoff values can serve as a better screening tool than BMI in identifying individuals at risk of obesity-related CHD in low-resource settings.</p></div>","PeriodicalId":88300,"journal":{"name":"Prevention and control : the official journal of the World Heart Federation","volume":"3 1","pages":"Pages 11-19"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.precon.2007.08.002","citationCount":"7","resultStr":"{\"title\":\"A simple valid tool for measuring obesity-related-CHD risk in Sri Lankan adults\",\"authors\":\"Carukshi Arambepola , Dulitha Fernando , Ruvan Ekanayake\",\"doi\":\"10.1016/j.precon.2007.08.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The significance of anthropometric measures of obesity that determine coronary-heart-disease (CHD) risk varies among populations. This study compares waist circumference (WC) and body mass index (BMI) in identifying the “obesity-related-CHD risk” among Sri Lankan adults.</p></div><div><h3>Methods</h3><p>A population-based cross-section of 515 adults aged 20–64 years, residing in the district of Colombo in 2004 was selected by a multi-stage, stratified, probability sampling method. WC, height and weight were measured. Demographic, socio-economic and lifestyle characteristics, smoking and obesity-related-CHD risk factors (hypertension, dyslipidaemia, diabetes) were assessed by questionnaires, physical measurements and biochemical assessments. “Obesity-related CHD risk” was defined by the presence of ⩾1 obesity-related-CHD risk factors.</p></div><div><h3>Results</h3><p>Compared to BMI, WC was a stronger correlate of systolic and diastolic blood pressure, triglycerides among both sexes and of plasma glucose among males. It was also an independent predictor of obesity-related-CHD risk in both males (beta co-efficient<!--> <!-->=<!--> <!-->0.046; standard error<!--> <!-->=<!--> <!-->0.013) and females (0.024;<!--> <!-->0.012) in contrast to BMI, which was significant only among males (0.138;<!--> <!-->0.037) in the logistic regression models adjusted for confounders. At the same level of obesity-related-CHD risk corresponding with BMI of 25<!--> <!-->kg/m<sup>2</sup> (OR<!--> <!-->=<!--> <!-->1.7) and 30<!--> <!-->kg/m<sup>2</sup> (OR<!--> <!-->=<!--> <!-->3.5), the corresponding WC values were 90.5<!--> <!-->cm and 105.5<!--> <!-->cm for males and 100<!--> <!-->cm and 129<!--> <!-->cm for females. The derived optimal risk thresholds of WC for identifying obesity-related-CHD risk was 88.5<!--> <!-->cm for males and 82<!--> <!-->cm for females.</p></div><div><h3>Conclusions</h3><p>WC with its sex-specific cutoff values can serve as a better screening tool than BMI in identifying individuals at risk of obesity-related CHD in low-resource settings.</p></div>\",\"PeriodicalId\":88300,\"journal\":{\"name\":\"Prevention and control : the official journal of the World Heart Federation\",\"volume\":\"3 1\",\"pages\":\"Pages 11-19\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.precon.2007.08.002\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Prevention and control : the official journal of the World Heart Federation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1573208807000645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Prevention and control : the official journal of the World Heart Federation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1573208807000645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simple valid tool for measuring obesity-related-CHD risk in Sri Lankan adults
Background
The significance of anthropometric measures of obesity that determine coronary-heart-disease (CHD) risk varies among populations. This study compares waist circumference (WC) and body mass index (BMI) in identifying the “obesity-related-CHD risk” among Sri Lankan adults.
Methods
A population-based cross-section of 515 adults aged 20–64 years, residing in the district of Colombo in 2004 was selected by a multi-stage, stratified, probability sampling method. WC, height and weight were measured. Demographic, socio-economic and lifestyle characteristics, smoking and obesity-related-CHD risk factors (hypertension, dyslipidaemia, diabetes) were assessed by questionnaires, physical measurements and biochemical assessments. “Obesity-related CHD risk” was defined by the presence of ⩾1 obesity-related-CHD risk factors.
Results
Compared to BMI, WC was a stronger correlate of systolic and diastolic blood pressure, triglycerides among both sexes and of plasma glucose among males. It was also an independent predictor of obesity-related-CHD risk in both males (beta co-efficient = 0.046; standard error = 0.013) and females (0.024; 0.012) in contrast to BMI, which was significant only among males (0.138; 0.037) in the logistic regression models adjusted for confounders. At the same level of obesity-related-CHD risk corresponding with BMI of 25 kg/m2 (OR = 1.7) and 30 kg/m2 (OR = 3.5), the corresponding WC values were 90.5 cm and 105.5 cm for males and 100 cm and 129 cm for females. The derived optimal risk thresholds of WC for identifying obesity-related-CHD risk was 88.5 cm for males and 82 cm for females.
Conclusions
WC with its sex-specific cutoff values can serve as a better screening tool than BMI in identifying individuals at risk of obesity-related CHD in low-resource settings.