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The Nutrition Transition Program The University of North Carolina at Chapel Hill If body fat differs, do obesity related co-morbidities also differ? In Hong Kong Chinese, Ko et al observed increased prevalence of type-2 diabetes, hypertension, dislipidaemia and albuminuria at a BMI of ~ 23 kg/m 2 (Ko et al, Int J Obesity 1999) In Polynesian populations serum lipids tend to be lower than for Caucasians in spite of higher BMIs (Bell et al, NZ Med J 2001, Scragg et al, NZ Med J 1993) However: –direct comparisons are needed in a variety of ethnic groups
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The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Ethnic Differences in the Association Between Body Mass Index
and HypertensionColin Bell, Linda Adair, Barry Popkin
Department of Nutrition, The University of North Carolina at Chapel Hill
Department of Community Health, University of Auckland
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Does a BMI of 25 kg/m2 mean the same thing in different populations? BMI is only an approximate measure of body
fatness Good evidence exists that some populations
have different levels of body fat at similar BMIs – Asian: smaller frames, higher % body fat than
Caucasians (Deurenberg et al, Int J Obesity 1998,1999)
– Polynesians: larger frames, more lean body mass, lower % body fat than Caucasians (Swinburn et al, Int J Obesity 1999)
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
If body fat differs, do obesity related co-morbidities also differ?
In Hong Kong Chinese, Ko et al observed increased prevalence of type-2 diabetes, hypertension, dislipidaemia and albuminuria at a BMI of ~ 23 kg/m2 (Ko et al, Int J Obesity 1999)
In Polynesian populations serum lipids tend to be lower than for Caucasians in spite of higher BMIs (Bell et al, NZ Med J 2001, Scragg et al, NZ Med J 1993)
However:– direct comparisons are needed in a variety of
ethnic groups
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Objective To determine whether there are ethnic differences
in the association between BMI and hypertension in men and women aged 30 - 65 years
Ethnic groups 3,423 Chinese men and women (CHNS 1997) 1,929 Filipino women (CLHNS 1998) 7,957 non-Hispanic Whites, non-Hispanic Blacks,
Mexican Americans (NHANES III 1988 - 1994)
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Methodology Pooled cross-sectional data from three surveys
Outcome = Hypertension SBP 140 mm Hg , DBP 90 mm Hg, or on
anti-hypertension medication Including those on medication biased the
result towards the null or had no effect (see following figure)
Main explanatory variable = BMIConfounders = Age. Physical activity, smoking and
alcohol consumption were not major confounders. (see following figure)
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
We included pre-diagnoased individuals to boost cell size and because their inclusion biased the results towards the null
0
10
20
30
40
50
60
18.5 - 22.9 23 - 24.9 25 - 26.9 27 - 28.9 29 - 30.9 > = 31.0
BMI (men)
HT
N p
reva
lenc
e (%
)
Chinese new HTNChinese pre HTNWhite new HTNWhite pre HTN
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Physical activity, smoking status and alcohol consumption had a minimal effect on the association between hypertension and BMI in all ethnic groups: eg NHBlack women
0
0,5
1
1,5
2
2,5
18.5-22.9 23.0-24.9 25.0-26.9 27.0-28.9 29.0-30.9 >=31.0
BMI
Odd
s ra
tio
AgeadjustedFullyadjusted
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Compared to US ethnic groups, Chinese men & women were less hypertensive; Filipino women had similar levels of hypertension to NHWhites
1916
28
22
34
2421
23
35
0
10
20
30
40
50
60
Men Women
HTN
pre
vale
nce
(%) Chinese White Black MexicanAm Filipino
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Compared to US ethnic groups, Chinese men & women & Filipino women were less overweight (BMI 25 kg/m2)
1621
66
54
7374 74
35
60
0
10
20
30
40
50
60
70
80
Men Women
Pre
vale
nce
(%)
Chinese White Black MexicanAm Filipino
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Chinese men had higher odds of prevalent hypertension, adjusted for age, than NH-Whites at every category of BMI, including 23-24.9 kg/m2
01234
5678
18.5-22.9 23-24.9 25-26.9 27-28.9 29-30.9 >=31.0
BMI
Odd
s of
Hyp
erte
nsio
n Chinese
White
Black
MexicanAm
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Including waist circumference attenuated the association for both Chinese & NHWhite men but the ethnic differences remained
012345678
18.5 - 22.9 23 - 24.9 25 - 26.9 27 - 28.9 29 - 30.9 > = 31.0
BMI
Odd
s ra
tio
White w/o waist
White with waist
Chinese w/o waist
Chinese with waist
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
The age-adjusted odds of prevalent hypertension for Chinese and Filipino women were similar to those for NH-Whites at low levels of BMI
0
2
4
6
8
10
18.5-22.9 23-24.9 25-26.9 27-28.9 29-30.9 >=31.0
BMI
Odd
s of
Hyp
erte
nsio
n
Chinese
WhiteBlack
MexicanAmFilipino
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Two problems can arise when using odds ratios in this context
Odds ratios are dependent on a reasonable number of subjects in the reference category
Interpretation can be misleading because the analysis assumes that the underlying risk (or in this case prevalence) between the ethnic groups is the same
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Subject numbers were sufficient but hypertension prevalence differed markedly by ethnic group in the referent BMI category (BMI 18.5-22.9 kg/m2) Men Women
Chinese, n(%) 936(12.3) 976(9.0)
Non-Hispanic White, n(%) 288(16.5) 466(6.5)
Non-Hispanic Black, n(%) 244(21.2) 208(21.7)
Mexican American, n(%) 129(9.3) 134(6.3)
Filipino, n(%) - 743(16.0)
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
To overcome this problem, we used prevalence difference figures. A steeper slope was observed at low levels of BMI for Chinese men (10.8% ) compared to NHWhite men (1.8% )
0
10
20
30
40
50
60
70
18.5-22.9 23-24.9 25-26.9 27-28.9 29-30.9 >=31.0
BMI
HTN
Pre
vela
nce
(%)
Chinese
White
Black
MexicanAm
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
There was also some evidence of a steeper slope at low levels of BMI for Chinese women (7.6% ) compared to NHWhite women (4.3% ). Filipino women showed a 10.3% between the categories 23.0-24.9 and 25.0-26.9 kg/m2
0
10
20
30
40
50
60
18.5-22.9 23-24.9 25-26.9 27-28.9 29-30.9 >=31.0BMI
HTN
Pre
vela
nce
(%)
ChineseWhiteBlackMexicanAmFilipino
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Asia USA
Underweight < 18.5 < 18.5
Healthy weight 18.5 - 22.9 18.5 – 24.9
Overweight 23.0 - 24.9 25.0 – 29.9
Obese 25 30
Current WHO weight status recommendations for Asia and the USA
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
Should lower definitions of overweight and obesity be used for Asian populations?
We have shown some evidence that the association between hypertension and BMI may be stronger in Chinese compared to NHWhites
There was no evidence of a stronger association for Filipino women, however, a higher baseline prevalence may justify a lower cut-off
To fully justify lower cut-offs we need longitudinal studies, data on all co-morbidities, consensus on appropriate methodology and more specific definitions of ethnicity
The Nutrition Transition ProgramThe University of North Carolina at Chapel Hill
The value of ethnic-specific BMI cut-offs?At the clinical level: In countries such as the USA, with considerable
ethnic diversity, physicians would be better able to identify individuals at risk of obesity related co-morbidities
At an international level: At this level, the utility of a weight classification
system is in the ability to compare populations and monitor changes overtime & therefore there is no advantage in having ethnic-specific cut-offs