Ethnicity and obesity: why are some people more vulnerable?

Publikation: Bidrag til tidsskriftReviewForskning

Standard

Ethnicity and obesity: why are some people more vulnerable? / Christensen, Dirk Lund; Jørgensen, Marit Eika.

I: International Diabetes Monitor, Bind 20, Nr. 5, 2008, s. 202-209.

Publikation: Bidrag til tidsskriftReviewForskning

Harvard

Christensen, DL & Jørgensen, ME 2008, 'Ethnicity and obesity: why are some people more vulnerable?', International Diabetes Monitor, bind 20, nr. 5, s. 202-209.

APA

Christensen, D. L., & Jørgensen, M. E. (2008). Ethnicity and obesity: why are some people more vulnerable? International Diabetes Monitor, 20(5), 202-209.

Vancouver

Christensen DL, Jørgensen ME. Ethnicity and obesity: why are some people more vulnerable? International Diabetes Monitor. 2008;20(5):202-209.

Author

Christensen, Dirk Lund ; Jørgensen, Marit Eika. / Ethnicity and obesity: why are some people more vulnerable?. I: International Diabetes Monitor. 2008 ; Bind 20, Nr. 5. s. 202-209.

Bibtex

@article{4510af607d1911df928f000ea68e967b,
title = "Ethnicity and obesity: why are some people more vulnerable?",
abstract = "Obesity is a global problem that affects all ethnic groups and managing it is a major challenge. In developing countries obesity coexists with underweight.BMI is the most widely used measure of obesity. World Health Organization cut-off values of BMI =25 or =30 kg/m2 for over weight and obesity, respectively, have been used worldwide for several years to assess the prevalence of obesity of varying degrees. The highest prevalence of overweight and obesity in the world is to be found in the Western Pacific Islands, especially among the populations of Nauru and Tonga, where it reaches 80–90{\%}. Sub-Saharan Africa has the lowest prevalence of obesity. The greatest increase in obesity is occurring in countries with a diverse ethnic  population, such as Mauritius and Brazil.An increased percentage of body fat is normally coupled to an increase in body weight. However, there is evidence to show that the association between BMI, percentage and distribution of body fat differs across populations, with Asians having the highest percentage of body fat compared with other populations. Asians also have a higher amount of visceral adipose tissue. The variation in percentage of body fat and body fat distribution relative to BMI across ethnic groups is reflected in ethnic differences in the health risks associated with obesity. For example, populations from the Asia-Pacific region have been found to  have substantial risks of cardiovascular disease (CVD) below a BMI of 25 kg/m2.In all populations, cardiovascular risk increases with increasing waist circumference, even though it is influenced by ethnicity. For example, compared with white populations, Inuit and Polynesians have been found to have lower blood pressure, lipids, stimulated glucose and insulin levels for the same levels of waist circumference. The metabolic impact of different levels of obesity differs considerably across populations, especially with regard to diabetes and CVD. Therefore the ‘one-size-fits-all’ approach adopted internationally must be reconsidered and carefully analysed. BMI, waist circumference and waist-hip ratio all have their limitations when it comes to comparing obesity and its risk factors across ethnic groups and populations.The influence of genetics on the association between obesity and health risks remains unresolved. Data on obesity and metabolic risk factors including Inuit living in Greenland and Denmark showed that Inuit in Denmark followed the same patterns as an ethnic Danish reference population with regard to the association between obesity and cardiovascular risk factors. Lifestyle and environmental factors may  therefore be more important than genetic factors regarding the influence of obesity on disease risk. Udgivelsesdato: 2008",
keywords = "Faculty of Health and Medical Sciences, obesity, Ethnicity, Risk Factors, Type 2 diabetes",
author = "Christensen, {Dirk Lund} and J{\o}rgensen, {Marit Eika}",
year = "2008",
language = "English",
volume = "20",
pages = "202--209",
journal = "International Diabetes Monitor",
issn = "0924-3623",
publisher = "Medical Forum International BV",
number = "5",

}

RIS

TY - JOUR

T1 - Ethnicity and obesity: why are some people more vulnerable?

AU - Christensen, Dirk Lund

AU - Jørgensen, Marit Eika

PY - 2008

Y1 - 2008

N2 - Obesity is a global problem that affects all ethnic groups and managing it is a major challenge. In developing countries obesity coexists with underweight.BMI is the most widely used measure of obesity. World Health Organization cut-off values of BMI =25 or =30 kg/m2 for over weight and obesity, respectively, have been used worldwide for several years to assess the prevalence of obesity of varying degrees. The highest prevalence of overweight and obesity in the world is to be found in the Western Pacific Islands, especially among the populations of Nauru and Tonga, where it reaches 80–90%. Sub-Saharan Africa has the lowest prevalence of obesity. The greatest increase in obesity is occurring in countries with a diverse ethnic  population, such as Mauritius and Brazil.An increased percentage of body fat is normally coupled to an increase in body weight. However, there is evidence to show that the association between BMI, percentage and distribution of body fat differs across populations, with Asians having the highest percentage of body fat compared with other populations. Asians also have a higher amount of visceral adipose tissue. The variation in percentage of body fat and body fat distribution relative to BMI across ethnic groups is reflected in ethnic differences in the health risks associated with obesity. For example, populations from the Asia-Pacific region have been found to  have substantial risks of cardiovascular disease (CVD) below a BMI of 25 kg/m2.In all populations, cardiovascular risk increases with increasing waist circumference, even though it is influenced by ethnicity. For example, compared with white populations, Inuit and Polynesians have been found to have lower blood pressure, lipids, stimulated glucose and insulin levels for the same levels of waist circumference. The metabolic impact of different levels of obesity differs considerably across populations, especially with regard to diabetes and CVD. Therefore the ‘one-size-fits-all’ approach adopted internationally must be reconsidered and carefully analysed. BMI, waist circumference and waist-hip ratio all have their limitations when it comes to comparing obesity and its risk factors across ethnic groups and populations.The influence of genetics on the association between obesity and health risks remains unresolved. Data on obesity and metabolic risk factors including Inuit living in Greenland and Denmark showed that Inuit in Denmark followed the same patterns as an ethnic Danish reference population with regard to the association between obesity and cardiovascular risk factors. Lifestyle and environmental factors may  therefore be more important than genetic factors regarding the influence of obesity on disease risk. Udgivelsesdato: 2008

AB - Obesity is a global problem that affects all ethnic groups and managing it is a major challenge. In developing countries obesity coexists with underweight.BMI is the most widely used measure of obesity. World Health Organization cut-off values of BMI =25 or =30 kg/m2 for over weight and obesity, respectively, have been used worldwide for several years to assess the prevalence of obesity of varying degrees. The highest prevalence of overweight and obesity in the world is to be found in the Western Pacific Islands, especially among the populations of Nauru and Tonga, where it reaches 80–90%. Sub-Saharan Africa has the lowest prevalence of obesity. The greatest increase in obesity is occurring in countries with a diverse ethnic  population, such as Mauritius and Brazil.An increased percentage of body fat is normally coupled to an increase in body weight. However, there is evidence to show that the association between BMI, percentage and distribution of body fat differs across populations, with Asians having the highest percentage of body fat compared with other populations. Asians also have a higher amount of visceral adipose tissue. The variation in percentage of body fat and body fat distribution relative to BMI across ethnic groups is reflected in ethnic differences in the health risks associated with obesity. For example, populations from the Asia-Pacific region have been found to  have substantial risks of cardiovascular disease (CVD) below a BMI of 25 kg/m2.In all populations, cardiovascular risk increases with increasing waist circumference, even though it is influenced by ethnicity. For example, compared with white populations, Inuit and Polynesians have been found to have lower blood pressure, lipids, stimulated glucose and insulin levels for the same levels of waist circumference. The metabolic impact of different levels of obesity differs considerably across populations, especially with regard to diabetes and CVD. Therefore the ‘one-size-fits-all’ approach adopted internationally must be reconsidered and carefully analysed. BMI, waist circumference and waist-hip ratio all have their limitations when it comes to comparing obesity and its risk factors across ethnic groups and populations.The influence of genetics on the association between obesity and health risks remains unresolved. Data on obesity and metabolic risk factors including Inuit living in Greenland and Denmark showed that Inuit in Denmark followed the same patterns as an ethnic Danish reference population with regard to the association between obesity and cardiovascular risk factors. Lifestyle and environmental factors may  therefore be more important than genetic factors regarding the influence of obesity on disease risk. Udgivelsesdato: 2008

KW - Faculty of Health and Medical Sciences

KW - obesity

KW - Ethnicity

KW - Risk Factors

KW - Type 2 diabetes

M3 - Review

VL - 20

SP - 202

EP - 209

JO - International Diabetes Monitor

JF - International Diabetes Monitor

SN - 0924-3623

IS - 5

ER -

ID: 20391535