Central obesity is a major risk factor for cardiometabolic diseases. The prevalence of central obesity has not been reported fully among Asian adults in the United States (US).
Methods
Cross-sectional data of 1288 Asian adults aged 20 years or over was selected from the US National Health and Nutrition Examination Survey with a stratified multi-stage sampling design. The prevalence of central obesity was calculated with 95% confidence intervals (CIs) and Chi-square tests were conducted to test the significance of the prevalence differences across characteristic groups.
Results
The overall prevalence of central obesity among US Asian adults was 58.1% in 2011–2014. The prevalence of central obesity was higher in older adults (73.5%) than in young adults (45.4%) (p < 0.0001). Women had 13.4% higher prevalence than men (64.4% vs 51.0%, p < 0.0001). The prevalence increased over time (2011–2012 vs 2013–2014) in young adults (39.2% vs 51.5%), men (45.4% vs 56.6%), adults with college education or above (54.2% vs 61.7%) and non-poor adults (55.4% vs 62.4%). Compared with men, women had higher prevalence in each subgroup of age, education, poverty, and length of time (except for the subgroup of “born in the US”) (all p < 0.05) and in the subgroup of “married or living with partner” for marital status (p < 0.0001).
Conclusion
Central obesity is prevalent in Asian adults, particularly in older adults and women. More efforts are needed to prevent and treat obesity in Asian adults as Asians are incurring the greatest increase in type 2 diabetes in parallel with the rising rate of central adiposity.
Abkürzungen
ATP
Adult Treatment Panel
BMI
body mass index
CDC
Centers for Disease Control and Prevention
CI
confidence interval
CVD
cardiovascular disease
IDF
International Diabetes Federation
NCHS
National Center for Health Statistics
NHANES
National Health and Nutrition Examination Survey
PIR
poverty index ratio
US
United States
WC
waist circumference
Background
Body mass index (BMI) has been used widely to assess general obesity which is a major risk factor for cardiometabolic disease and overall deaths in the United States (US) [1]. Yet BMI has limitations in predicting obesity-related health risks, especially at lower level of BMI [2]. Waist circumference (WC) is a sensitive indicator of body fat distribution that is considered to characterize central obesity [3]. Many studies shows that central obesity correlates higher with hypertension, diabetes, dyslipidemia, metabolic syndrome, and coronary heart disease independent of BMI [4‐6]. The US National Institutes of Health recommends that WC, in addition to weight and height, be measured in primary care practice to determine the risk of weight-related complications and guide decision-making for weight management intervention [7].
Asians from south Asia have high prevalence of diabetes mellitus, hypertension, and cardiovascular disease (CVD), despite low levels of BMI [8‐10]. There has been a rapid growth of cardiometabolic risks and CVD in the US Asian population [10‐12]. Central obesity may play an important role in these increased risks. As the Asian population is the fastest growing ethnic group in the US [13], Information on obesity with emphasis on central obesity would be useful for determining the risk with interventions targeted at reducing obesity-related complications and enhancing health-related quality of life in Asian adults.
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Although the prevalence of central obesity has been reported in several populations [14‐17], it has not been fully investigated in the US Asian population. Ford et al. have reported trends in the prevalence of central obesity among US adults and presented the general prevalence by sex in the Asian population [18]. However, there are two major concerns in their study. One is that they have defined the central obesity for Asians using the criteria for white and black adults which may not be appropriate for Asian adults. The other is that they have focused on central obesity in the general US population but not Asians (mostly non-Hispanic white, non-Hispanic black and Mexican American), and did not address the difference in the prevalence of central obesity over other characteristics except for sex among US Asian adults.
In this study, data on WC measurements and demographic characteristics were extracted from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. The prevalence of central obesity and the difference in the prevalence across demographic and socioeconomic groups were examined among US Asian adults. The results will provide meaningful information on central obesity that can be used to compare the US Asian population with other populations (e.g. US white, black or Mexican American population) to pinpoint the potential role of fat distributions in racial/ethnic disparities in adverse health outcomes.
Methods
The continuous NHANES, beginning in 1999, includes a series of two-year health and nutrition surveys conducted by the National Center for Health Statistics (NCHS) in the Centers for Disease Control and Prevention (CDC). Each survey used a stratified multistage-clustered sampling design to select the sample of participants, representative of the US civilian noninstitutionalized resident population. The survey consisted of interview questionnaires and health examinations. Interviews were performed in participants’ homes and elicited information pertaining to demographic, socioeconomic, dietary, and health-related status. Physical examinations and laboratory blood draws were conducted in the mobile examination centers to obtain medical and dental information and anthropometric measurements. All participants provided written informed consent and the data was approved by the NCHS Institutional/Ethics Review Board to ensure human subject protection and confidentiality [19].
Study participants
All participants in the present study were non-Hispanic Asians from NHANES 2011–2014. This study focused on central obesity among US Asians and NCHS only began to collect data on Asians in 2011 [19]. Non-Hispanic Asians included all persons having origins in the Far East, Southeast Asia, or the Indian subcontinent (including, for example, China, Japan, Korea, Malaysia, the Philippine Islands, Vietnam, Thailand, Cambodia, India, Pakistan,). Our sample did not include Asians with multi-racial/ethnic background. In 2011–2014, primary sample design changes were implemented in NHANES to oversample non-Hispanic Asians and increase the reliability and precision of health estimates for this subgroup [19]. Participants who were less than 20 years were excluded from the study. Pregnant women and those who did not have a WC recorded were also excluded. The final study sample consisted of 1288 non-Hispanic Asian adults.
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WC measurements and central obesity
WC was measured by trained examiners following body measures examination protocol [20]. The measurement room was equipped with wall mirrors designed to facilitate accurate and efficient measurements. A health technologist and recorder worked as a team to assist the examiners. WC data were saved to the study database using the Integrated Survey Information System (ISIS) anthropometry computer application. Each eligible participant was measured without clothing and stood in the pose of crossing arms with hands on opposite shoulders. The examiner made a mark just above the uppermost lateral border of the right ilium of the participant, and then extended the measuring tape around the waist and positioned it in a horizontal plane at the level of the measurement mark. The measuring tape was placed parallel to the floor, and fit snug across but did not compress the skin. WC was taken to the nearest 0.1 cm at the end of the participant’s normal expiration. Central obesity was defined as WC ≥90 cm for men and ≥80 cm for women according to the guidelines of the International Diabetes Federation (IDF) for Asian populations [21].
Demographic and socioeconomic characteristics
All the characteristics considered in this study were self-reported through interview questionnaires. Age and gender were demographic factors; education, poverty status, and marital status were socioeconomic factors. Length of stay in the US was used to reflect the acculturation including cultural, psychological, and lifestyle changes. We considered these characteristics to examine how the prevalence of central obesity differed across the groups defined by these characteristics. The selected participants were categorized into three groups: young adults (aged 20–39 years), middle-aged adults (aged 40–59 years), and old adults (aged 60 years or above). In general, 20–39 year olds are more similar phenotypically to each other than they are to those who are middle-aged; equally, 40–59 year olds (especially as women in their 40’s have markedly limited reproductive potential, they resemble more women in their 50’s who are post menopause, rather than women in their 20’s). Also, with aging. Older adults > 60 years realize weight redistribution, greater fat mass per BMI, and therefore are more alike than those in their 40’s. Educational attainments were classified as high school or below and college or above (some college, college graduate or above). Poverty index ratio (PIR) was the ratio of the family’s total income to the family’s appropriate poverty threshold calculated by the family’s mean income and number of individuals in their household. It was used to measure poverty status. A participant was considered poor if PIR < 1.0, and non-poor if PIR ≥ 1.0. Marital status was combined into three categories: never married, married or living with partner, and/or widowed, divorced or separated. Length of stay in the US was defined as follows. Participants were first asked whether they were born in the US; if they answered ‘no’, the length of time living in the US was recorded in years. Thus length of stay in the US was classified, in terms of years in the US, as 1) born in the US, 2) less than 10 years in the US, 3) 10 to 19 years in the US, and 4) 20 years or over.
Statistical analysis
Data analyses were guided by the NHANES analytic and reporting guidance document [22]. Sampling weights and techniques were considered to account for oversampling and survey nonresponse. Student’s t tests with survey application were used to examine the significance of differences in the means of continuous variables, and chi-square tests were used for the significance of the proportions of categorical variables across central obesity status.
The prevalence of central obesity was calculated as the weighted number of participants with central obesity divided by the weighted number of participants in the study population. The prevalence estimates in different subgroups were age-adjusted by the direct method of standardization to 2010 US Census Asian population except for age-related domains. SURVEYFREQ and SURVEYREG procedures that take into account the survey design were used to estimate the prevalence with 95% confidence intervals (CIs) for subgroups of age, sex, education, poverty status, marital status, and length of time in the US. Similar procedures were applied to analysis of prevalence by the combination of sex and other characteristics. Chi-square tests were conducted to examine the significance of differences in the prevalence between subgroups. The difference was considered to be significant if the p value was less than 0.05. All data analyses were performed using SAS (version 9.3; SAS Institute Inc., Cary, NC).
Results
Average age of Asian adults in the study sample was 44.8 years, and 20.4% were adults aged 60 years or over (Table 1). 53.0% were women, 26.1% had a high school education or below, and 86.6% were poor. 15.3% of Asian adults were born in the US. Compared with adults without central obesity, adults with central obesity were older (48.4 vs 40.8 years, p < .0001), more likely to be women (59.1% vs 44.3%, p < 0.0001), and more likely to be married or living with partner (73.6% vs 63.6%, p = 0.0007) and/or to be windowed, divorced or separated (12.5% vs 6.6%, p = 0.0068). Obese adults were also more likely to have lived in the US for more than 20 years and less likely to be born in the US.
Table 1
Characteristics of Asian Adults by Central Obesity Status in the United States, 2011–2014 (n = 1288)
Characteristics
N
Means or proportions (95% CI)
All
Central Obesity
Non-Central Obesity
p-value
Age (means), years
1288
44.8 (43.2–46.5)
48.4 (46.8–50.0)
39.8 (37.9–41.7)
<0.0001
Age group, %
1288
20–39
496
42.1 (37.1–47.1)
32.6 (27.7–37.4)
55.7 (49.9–61.5)
40–59
484
37.5 (33.9–41.1)
42.0 (38.6–45.4)
31.2 (26.4–36.0)
≥ 60
308
20.4 (17.0–23.8)
25.5 (21.5–29.5)
13.1 (9.7–16.5)
<0.0001
Sex, %
1288
Men
636
47.0 (45.2–48.8)
40.9 (38.6–43.1)
55.7 (52.5–59.0)
Women
652
53.0 (51.2–54.8)
59.1 (56.9–61.4)
44.3 (41.0–47.5)
<0.0001
Education, %
1288
High School or Below
366
26.1 (20.7–31.6)
28.1 (21.3–35.0)
23.3 (18.1–28.5)
College or Above
922
73.9 (68.4–79.3)
71.9 (65.0–78.7)
76.7 (71.5–81.9)
0.09
Poverty status, %
1164
Poor
169
86.6 (83.1–90.1)
87.6 (83.9–91.3)
85.3 (80.9–89.6)
Non-poor
995
13.4 (9.9–16.9)
12.4 (8.7–16.1)
14.7 (10.4–19.1)
0.26
Marital Status, %
1287
Never married
253
20.5 (16.2–24.8)
14.0 (10.7–17.2)
29.8 (23.5–36.1)
Married or living with partner
899
69.4 (65.0–73.8)
73.6 (69.2–77.9)
63.5 (57.3–69.8)
Widowed, divorced or separated
135
10.1 (8.4–11.7)
12.5 (9.9–15.0)
6.6 (4.1–9.2)
0.0005
Length of time in the US, %
1282
Less than 10 years
304
24.5 (19.0–29.9)
22.1 (16.4–27.7)
27.9 (20.1–35.7)
10 years to 19 years
293
23.0 (20.1–25.8)
23.7 (20.0–27.4)
21.9 (18.4–25.4)
20 years or over
496
37.2 (32.7–41.7)
41.9 (36.9–46.8)
30.6 (26.1–35.2)
Born in US
189
15.3 (12.3–18.4)
12.3 (8.7–16.0)
19.6 (15.4–23.8)
0.003
Abbreviation: CI confidence interval, N sample size
P-value indicates the significance of differences in the means or the proportions of characteristics across central obesity groups
The distributions of WC are presented in histogram separately for men and women, showing that WC had an approximate normal distribution in both men and women, and the average WC was higher in men than in women (Fig. 1). The average WC of Asian adults was 87.7 cm and did not change significantly over time during 2011 to 2014 (Table 2). The WC did not change over time across all groups of age, sex, education, marital status, and length of time in US. The overall prevalence of central obesity among US Asian adults was 58.1% in 2011–2014 (Table 3). The prevalence became higher with age from 45.4% in young adults to 73.5% in old adults (p < 0.0001). Women had 13.4% higher prevalence compared to men (64.4% vs 51.0%, p < 0.0001). The prevalence of central obesity increased in young people aged 20–39 years and in men. There was no significant difference over time in the prevalence of central obesity across the subgroups defined by marital status and length of stay in the US.
Table 2
Waist circumference mean over time among Asian Adults in the United States, 2011–2014 (n = 1288)
Means (95% CI)
All
2011–2012
2013–2014
p-value
All
87.7 (86.8–88.6)
87.1 (85.8–88.5)
88.2 (87.2–89.2)
0.22
Age
20–39 years
85.1 (83.8–86.3)
84.0 (82.0–86.1)
86.1 (84.7–87.4)
0.09
40–59 years
89.2 (88.3–90.2)
89.2 (87.8–90.5)
89.3 (87.9–90.7)
0.90
≥ 60 years
90.3 (88.9–91.7)
90.2 (89.1–91.4)
90.4 (87.9–92.9)
0.91
Sex
Men
90.4 (89.5–91.3)
89.9 (88.6–91.4)
91.0 (89.8–92.2)
0.26
Women
85.0 (83.9–86.1)
85.5 (83.1–86.0)
85.5 (83.9–87.0)
0.47
Education
High School or Below
87.4 (85.7–89.0)
88.2 (86.0–90.4)
86.5 (84.0–88.9)
0.37
College or Above
87.7 (86.8–88.5)
86.8 (85.8–87.8)
88.5 (87.4–89.6)
0.09
Poverty status
Poor
86.4 (84.2–88.5)
87.0 (83.6–90.3)
85.8 (83.3–88.4)
0.47
Non-poor
87.8 (87.0–88.6)
87.1 (85.8–88.3)
88.5 (87.6–89.4)
0.11
Marital Status
Never married
87.4 (85.6–89.3)
87.9 (85.4–90.4)
86.6 (83.8–89.3)
0.65
Married or living with partner
88.2 (87.2–89.1)
87.3 (86.1–88.5)
88.9 (87.6–90.2)
0.19
Widowed, divorced or separated
88.8 (85.1–92.5)
87.9 (84.7–91.0)
89.4 (83.9–95.0)
0.63
Length of time in the US
Less than 10 years
87.6 (85.9–89.3)
86.7 (84.6–88.7)
88.8 (86.4–91.3)
0.20
10 to 19 years
87.5 (86.0–89.0)
88.0 (86.4–89.6)
87.1 (84.7–89.5)
0.49
20 years or over
88.6 (87.5–89.7)
87.9 (86.0–89.7)
89.4 (88.0–90.8)
0.23
Born in US
88.0 (86.0–90.1)
88.0 (85.5–90.6)
88.1 (85.1–91.0)
0.50
Abbreviations: CI confidence interval
Estimated means are age-adjusted by the direct standardization to the 2010 US census population except for age-related characteristics
P-value indicates the significance of differences in waist circumference means over time
Table 3
Prevalence and change of Central Obesity over time among Asian Adults in the United States, 2011–2014 (n = 1288)
Prevalence (95% CI), %
All
2011–2012
2013–2014
p-value
All
58.1 (54.6–61.7)
55.3 (50.2–60.4)
60.9 (56.4–65.5)
0.54
Age
20–39 years
45.4 (39.8–50.9)
39.2 (30.9–47.6)
51.5 (44.4–58.6)
0.0192
40–59 years
65.7 (62.6–68.7)
66.3 (62.6–70.0)
65.0 (59.9–70.2)
0.67
≥ 60 years
73.5 (67.8–79.1)
71.6 (65.0–78.3)
75.0 (65.7–84.4)
0.54
Sex
Men
51.0 (47.1–54.8)
45.4 (40.0–50.8)
56.6 (52.3–60.9)
0.0095
Women
64.4 (60.2–68.6)
64.2 (57.8–70.6)
64.6 (59.0–70.1)
0.97
Education
High School or Below
58.0 (50.7–65.2)
56.1 (48.6–63.7)
58.2 (46.1–70.3)
0.90
College or Above
58.0 (54.3–61.7)
54.2 (49.0–59.3)
61.7 (57.0–66.3)
0.0476
Poverty status
Poor
54.1 (46.4–61.7)
55.3 (45.9–64.8)
52.1 (40.6–63.7)
0.61
Non-poor
59.2 (55.7–62.6)
55.4 (50.0–60.8)
62.4 (58.2–66.7)
0.0468
Marital Status
Never married
57.9 (49.7–66.1)
59.3 (49.7–68.9)
55.0 (43.6–66.3)
0.59
Married or living with partner
61.0 (56.5–65.4)
57.7 (51.3–64.1)
63.6 (57.8–69.5)
0.25
Widowed, divorced or separated
63.2 (47.7–78.7)
64.1 (43.6–84.6)
63.1 (42.1–84.1)
0.99
Length of time in the US
Less than 10 years
58.6 (50.3–66.8)
54.9 (45.7–64.1)
62.8 (49.6–76.0)
0.51
10 to 19 years
60.0 (55.3–64.7)
63.2 (56.4–70.1)
57.0 (50.5–63.5)
0.15
20 years or over
63.7 (58.8–68.6)
60.1 (50.8–69.3)
66.9 (62.3–71.5)
0.10
Born in US
52.7 (43.5–61.9)
51.7 (41.2–62.2)
53.8 (39.9–67.8)
0.76
Abbreviations: CI confidence interval
Estimated prevalence is age-adjusted by the direct standardization to the 2010 US census population except for age-related characteristics
P-value indicates the significance of differences in the prevalence of central obesity over time
×
The prevalence of central obesity was significantly higher in older adults in both men and women (p < 0.0001) (Table 4). Compared with men, women had higher prevalence in each subgroup of age, education, poverty, and length of time (except for the subgroup of “born in the US”) (all p < 0.05) and in the subgroup of “married or living with partner” for marital status (p < 0.0001). The prevalence was 8.5% higher in young women vs young men (p = 0.0256), 16.7% higher in middle-aged women vs middle-aged men (p < 0.0001), and 18.5% higher in old women vs old men (p < 0.0001). Women with college education or above had 12.4% higher, and women with high school education or below had 17.2% higher prevalence of central obesity than the corresponding men. The prevalence was 11.9% higher in non-poor women vs non-poor men (p = 0.0002), and 30.5% higher in poor women vs poor men (p < 0.0001). Women with length of stay in the US less than 10 years, 10–19 years, and more than 20 years had 10.6%, 13.3%, and 21.8% higher prevalence, respectively, than men in the same group.
Table 4
Prevalence of Central Obesity by sex among Asian Adults in the United States, 2011–2014 (n = 1288)
Characteristics
Prevalence (95% CI), %
Men
Women
p-value
Age
20–39 years
41.0 (34.7–47.3)
49.5 (42.5–56.5)
0.0256
40–59 years
56.9 (52.2–61.6)
73.6 (68.9–78.3)
<0.0001
≥ 60 years
62.8 (56.3–69.3)
81.3 (73.7–88.9)
<0.0001
Education
High School or Below
49.0 (41.3–56.6)
66.2 (55.4–76.9)
0.0005
College or Above
51.5 (46.8–56.2)
63.9 (59.3–68.6)
<0.0001
Poverty status
0.0108
Poor
37.1 (28.5–45.7)
67.6 (55.5–79.7)
<0.0001
Non-poor
52.7 (48.3–57.1)
64.6 (60.2–69.1)
0.0002
Marital Status
Never married
57.4 (43.2–71.6)
57.6 (48.4–66.9)
0.99
Married or living with partner
52.9 (46.9–58.9)
68.2 (63.1–73.2)
<0.0001
Widowed, divorced or separated
54.8 (33.6–76.1)
66.1 (48.7–83.5)
0.17
Length of time in the US
Less than 10 years
52.8 (43.3–62.3)
63.4 (53.4–73.3)
0.0483
10 to 19 years
52.1 (45.1–59.2)
65.4 (60.0–70.8)
0.0012
20 years or over
52.2 (44.1–60.4)
74.0 (66.1–81.9)
0.0002
Born in US
46.4 (32.9–60.0)
58.2 (45.7–70.6)
0.08
Abbreviations: CI confidence interval
Estimated prevalence is age-adjusted by the direct standardization to the 2010 US census population except for age-related characteristics
P-value indicates the significance of differences in the prevalence of central obesity between men and women across other characteristics groups
Discussion
We used the IDF criteria for Asian populations to define central obesity by WC among US Asian adults. Our analysis showed that the prevalence of central obesity was 58.1% among Asian adults. The result is not consistent with the prevalence estimate in Asian adults from a previous report that utilized the same data [18]. The cause of inconsistency is that the investigators in the previous study used the guidelines from the Adult Treatment Panel (ATP) III of the National Cholesterol Education Program to define central obesity. ATP III adopts the cut-off points of WC ≥ 88 cm for women and ≥102 cm for men for the diagnosis of central obesity [23]. These criteria are used for all US racial/ethnic groups for clinical diagnosis and epidemiological studies [16, 18]. The criteria from ATP III underestimates the prevalence of central obesity among Asian individuals. IDF recommends that ethnic group specific cut-points be applied when defining central obesity for individuals from different racial/ethnic groups. The IDF criteria for the diagnosis of central obesity has been shown to be more useful in identifying Asian individuals with higher risk of metabolic syndrome [24‐26].
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Although the prevalence of general obesity calculated from BMI is much lower among Asians than other racial/ethnic groups in the US [23], the prevalence of central obesity characterized by WC is similar across racial/ethnic groups (58.1% in Asians from our study, and 53.8% in non-Hispanic Whites, 57.4% in Mexican Americans, and 60.9% in non-Hispanic Blacks from the previous report [18]). Despite lower BMIs, Asians have greater amounts of visceral fat for every level of BMI compared to non-Hispanic whites [27, 28]. The morbidities related to excess adiposity occur more frequently at lower BMI levels in Asians than in whites [29, 30]. This phenomenon is partially explained by excess body fat, specifically higher intra-abdominal and subcutaneous fat, and ectopic fat deposition which are associated with higher risk of dyslipidemia, diabetes, and hypertension in Asians [29].
The prevalence of central obesity was higher while the average WC was lower in Asian women than in men. The paradox is mostly due to the different cutoffs we used for men and women when defining central obesity by WC. The higher prevalence in Asian women coincides with the findings in the populations of whites, blacks, and Mexican Americans. [18] Our analysis further showed that women had higher prevalence than men in each subgroup of age, education, poverty, and length of stay in the US. Similar results were also found in other ethnic populations [16, 18, 31]. The cut-off values of WC for diagnosis of central obesity in men and women vary (80 cm for women vs 90 cm for men). Men have close to twice the visceral fat as that of pre-menopausal women, and women have higher subcutaneous fat accumulation compared with men [4, 5]. The higher rate of central obesity in Asian women may be attributed to excess subcutaneous fat rather than visceral fat. Due to higher prevalence among Asian men (compared to men in other racial/ethnic groups), the sex difference in central obesity rate is smaller in Asians than in other racial/ethnic groups (Asians, 13.4%; non-Hispanic whites, 18.8%; non-Hispanic blacks, 35.4%; Mexican Americans, 28.4%) [20]. Several Asian studies indicates higher prevalence of metabolic syndrome among Asian men than women, although women have higher central obesity rate than men [24, 32]. Considering the rise in central obesity rate among Asian men, we predict that the risk of morbidities related to central obesity will increase in the male population.
The overall prevalence of central obesity among US Asian adults did not change over time, whereas the prevalence in whites, blacks, and Mexican Americans is increasing [18]. The prevalence of central obesity among Asians did increase over time in young adults, men, and adults with a college education or above. The studies using the same NHANES data showed that large increases of central obesity rate were found in young to middle-aged men, and Africa American men in the last decade [16, 31]. However, the relative increase of young Asian adults and Asian men in this study were much higher than other ethnic groups (young Asian adults: 31.4%; Asian men: 24.7%; non-Hispanic Black men (2009–2012): 5.1%) [18]. Although the central obesity rate for Asian women did not increase significantly, women have higher rates than men in each subgroup.
The prevalence of central obesity was higher in non-poor men than in poor men, while the prevalence was lower in non-poor than in poor women. The educational attainment and poverty status parallel socioeconomic status. Although the reason for differential correlations between socioeconomic status and the prevalence of central obesity by sex is not clear, our results are consistent with the findings from other obesity studies [16, 33]. However, the expected relationships between socioeconomic status and obesity seem to be attenuated in recent NHANES surveys [16].
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The prevalence of obesity and central obesity differed over marital status. Several studies have indicated that married adults had higher rate of overweight or obesity than other marital status groups combined, and never-married people had lower obesity rate than married people [34, 35]. Other investigators have shown that transitions into marriage were associated with weight gain, whereas transitions out of marriage were associated with weight loss [36]. Our results indicate that married women had higher prevalence of central obesity than non-married women. The prevalence of central obesity became higher with years of stay in the US among first-generation Asian women. However, Asian women who were born in the US has the lowest prevalence of central obesity. It is likely that the increased energy intake of western diet: fast and convenience food, sugar sweetened beverage, and high fat/high sugar food has contributed to the prevalence of obesity or central obesity among Asian immigrants [37]. High socioeconomic status and less manual work have also contributed to greater sedentariness among Asian immigrants [8]. In addition, immigration itself may result in stress and increased consumption of alcohol and food [28]. Native-born immigrants may be more acculturated and tend to be more physically active than first generation [37]. Dietary and physical activities of western lifestyle may be associated with the prevalence of central obesity among American Asians in different directions.
NHANES is a national survey designed to monitor the health and nutrition status among adults and children in the US. The results in this study are good representation of the prevalence of central obesity among US Asian adults at the national level. The prevalence estimates were age-adjusted by the method of direct standardization to the 2010 US census population. The age-adjusted method reduces the bias in crude rates that results from the difference of age distributions across groups. Age-adjusted prevalence is more accurate to reflect the real prevalence due to controlling for the confounding impact of age.
There are a few limitations in the study. NHANES started collecting data of US Asians in 2011. The relatively small sample size was a concern, and might bias the prevalence estimates for some subgroups of characteristics (e.g. marital status and length of time in US) with limited statistical power to test the significance of differences in the prevalence of central obesity. Data of Asians were only available in two phases of 2011–2012 and 2013–2014. Linear trends in the prevalence of central obesity could not be evaluated whereas the differences were examined in the prevalence between 2011 and 2012 and 2013–2014. NHANES surveys did not collect data of country of origin in Asian immigrants. The lack of geographic information for diverse Asian populations, such as Chinese, Japanese, Indian, and Vietnamese, likely masked the prevalence difference in these distinct ethnic Asian groups. In the future, we would aspire to assist the NHANES program sponsored by NCHS in CDC to disaggregate Asian American groups to address this limitation for future studies.
Conclusions
This study highlighted the public health problem of central obesity in US Asians, a rapidly growing segment of the US population. Our study revealed a relatively high prevalence of central obesity among US Asian adults, despite the lower prevalence of general obesity (based on BMI) as compared to other racial/ethnic groups reported from previous studies. Monitoring central obesity may provide additional information for accurately predicting all-cause and obesity-related mortality and morbidity, and support interventions in clinical practice and public health campaigns, to address these disparities and target the Asian population who have been largely ignored by virtue of using a single metric (i.e. BMI). Efforts are needed to promote applying the measurement of WC in primary care practice to classify at-risk US Asian adults in order to reduce the risks of adverse outcomes. Our results support the routine measurement of WC in clinical care for Asian adults, consistent with current recommendations as a key step in initiating the prevention, control, and management of central obesity among US Asians.
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Acknowledgements
We thank the National Center of Health Statistics for the availability of NHANES survey data.
Funding
The study is supported by an internal grant MCubed sponsored by the University of Michigan, Ann Arbor.
Availability of data and materials
The datasets generated and/or analyzed during the current study are available in the repository of the National Center for Health Statistics, Centers for Disease Control and Prevention (https://www.cdc.gov/nchs/nhanes/).
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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