An official website of the United States government
Obesity and Modifiable Cardiovascular Disease Risk Factors Among Chinese Americans in New York City, 2009–2012
RESEARCH BRIEF — Volume 14 — May 11, 2017
Simona C. Kwon, DrPH, MPH1; Laura C. Wyatt, MPH1; Shijian Li, PhD2; Nadia S. Islam, PhD1; Stella S. Yi, PhD1; Chau Trinh-Shevrin, DrPH1 (View author affiliations)
Suggested citation for this article: Kwon SC, Wyatt LC, Li S, Islam NS, Yi SS, Trinh-Shevrin C. Obesity and Modifiable Cardiovascular Disease Risk Factors Among Chinese Americans in New York City, 2009–2012. Prev Chronic Dis 2017;14:160582. DOI: http://dx.doi.org/10.5888/pcd14.160582.
PEER REVIEWED
Abstract
We used the Racial and Ethnic Approaches to Community Health Across the US (REACH US) Risk Factor Survey from 2009 through 2012 to examine the association between body mass index (BMI, calculated as kg/m2) and 3 cardiovascular disease risk factors among Chinese Americans in New York City. We used traditional BMI cut points and cut points modified for the Asian population. Compared with normal/underweight Chinese American adults (BMI <23.0), obese Chinese American adults (BMI ≥27.5) had significantly higher odds of having each risk factor in fully adjusted logistic regression models: diabetes (odds ratio [OR], 4.2; 95% confidence interval [CI], 2.8–6.2), high blood pressure (OR, 5.5; 95% CI, 3.9–7.7), and high cholesterol (OR, 1.7; 95% CI, 1.2–2.4). Regression results were similar across BMI definitions, suggesting that both BMI categorizations should be considered in CVD research among Chinese Americans.
Objective
Asian Americans are the fastest growing racial/ethnic group in the United States, and Chinese Americans are the largest subgroup (1). The prevalence of overweight and obesity is low among the Asian American population, compared with non-Hispanic white and black populations, when these terms are defined by standard body mass index (BMI) cut points (2). A World Health Organization panel proposed lowering BMI cut points for the Asian population because the association between BMI and health risks for the Asian population is different from the association for European populations (3). Chinese Americans are disproportionately affected by modifiable cardiovascular disease (CVD) risk factors such as diabetes and high blood pressure (4,5). Few studies have used BMI cut points modified for Asians in examinations of modifiable CVD risk factors among Asian Americans, including Chinese Americans (4). The objective of our study was to describe the association between BMI, using both standard and Asian-modified cut points, and modifiable CVD risk factors among Chinese Americans in New York City.
Methods
Although racial/ethnic minority populations are increasing in the United States, large-scale community-based surveys for these populations are limited. The Racial and Ethnic Approaches to Community Health Across the US (REACH US) Risk Factor Survey was conducted annually from 2009 through 2012 in 28 grantee communities to evaluate projects in racial/ethnic minority communities. An address-based sampling method targeted areas and populations consistent with NYU School of Medicine’s B Free CEED grantee community (largely Chinese Americans living in New York City). In-person interviews, telephone interviews, and self-administered questionnaires were conducted. Chinese American respondents completed the survey in English, Mandarin, or Cantonese. Details on survey methods are available elsewhere (6).
Survey items were adapted from the Behavioral Risk Factor Surveillance System interview (7). Self-reported height and weight were used to calculate BMI as weight in kilograms divided by height in meters squared. We used standard BMI cut points (normal/underweight [<25.0]), overweight [25.0–29.99], and obese [≥30.0]) and cut points modified for the Asian population (normal/underweight [<23.0], overweight [23.0–27.49], and obese [≥27.5]) (3). Outcomes were self-reported diagnoses of diabetes, high blood pressure, and high cholesterol. Gestational diabetes was not considered a diabetes outcome, and diabetes type was not determined. Additional adjustment variables included sociodemographic and health-related characteristics: sex, age group, education, annual household income, nativity, health insurance (yes or no), most recent routine check-up (≤1 y ago or >1 y ago or never), self-reported CVD diagnosis, and smoking status.
In New York City, 3,001 adult (aged ≥18 y) survey respondents self-identified as Chinese American; 2,904 self-reported height and weight and were included in analyses. We conducted all analyses using SAS-callable SUDAAN software version 11.0 (RTI International) to account for the complex sample design (6). We tabulated descriptive statistics and generated prevalence estimates; outcomes were age-adjusted and calculated overall and by BMI category. P values were calculated by using PROC CROSSTAB. PROC LOGISTIC generated odds ratios (ORs) and 95% confidence intervals (CIs) for the association between BMI and each risk factor, adjusting for sociodemographic and health-related characteristics; significance was set at P < .05.
Results
Eighty-six percent of the sample population was foreign-born, and one-third reported having less than a high school diploma (Table 1). The age-adjusted prevalence of overweight and obesity was 24.2% and 4.9%, respectively, using standard BMI cut points and 37.9% and 11.9%, respectively, using Asian-modified BMI cut points.
The overall age-adjusted prevalence of diabetes was 9.2%; of high blood pressure, 23.2%; and of high cholesterol, 30.2% (Table 2). The prevalence of each risk factor increased incrementally across both sets of BMI categories, and differences in the prevalence of each risk factor were significant across both sets of BMI categories (Table 2).
In fully adjusted logistic regression models, overweight and obesity determined by both sets of cut points were significantly associated with diabetes, high blood pressure, and high cholesterol (Table 2). Compared with normal/underweight adults, obese adults had significantly higher odds of having each risk factor: diabetes (odds ratio [OR], 4.2; 95% confidence interval [CI], 2.8–6.2], high blood pressure (OR, 5.5; 95% CI, 3.9–7.7], and high cholesterol (OR, 1.7; 95% CI, 1.2–2.4). We found similar results when we used standard BMI cut points; compared with normal/underweight adults, obese adults had significantly higher odds of diabetes (OR, 5.1; 95% CI, 3.2–8.2) and high blood pressure (OR, 7.9; 95% CI, 4.8–13.1), although high cholesterol (OR, 1.5; 95% CI, 0.9–2.3) was no longer significant.
Discussion
Our findings expand on obesity and CVD research among Chinese Americans. The prevalence of overweight and obesity measured by using standard and Asian-modified cut points in our Chinese American sample was lower than the prevalence estimated in previous research (2,5,8,9). The prevalence of diabetes and high blood pressure in our sample, however, was higher than the prevalence determined in previous research (2,5,8). CVD risk factors are prevalent among Asian Americans at lower BMI levels than standard BMI levels (3,5). Our research showed that obese Chinese Americans (BMI ≥27.5) were significantly more likely to self-report a diagnosis of diabetes, high blood pressure, or high cholesterol than were Chinese Americans who were underweight or of normal weight (BMI <23.0). In general, the odds of self-reporting a diagnosis of a CVD risk factor were higher when we used standard BMI cut points than when we used Asian-modified cut points, but the association between BMI and each risk factor was significant across all Asian-modified cut points; obesity was not significantly associated with high cholesterol in the fully-adjusted model that used standard BMI cut points. Regression results were similar across BMI definitions, suggesting that both categorizations should be considered when conducting CVD research among Chinese Americans.
Our study has limitations. The self-reported data may result in underestimating or overestimating modifiable CVD risk factors and BMI (10,11). Data were cross-sectional, and causation cannot be inferred. Because of the small number of respondents who had a BMI of 30.0 or greater, 95% CIs were larger for this group than for the group with a BMI of 27.5 or greater. Finally, findings may only apply to Chinese immigrants in Asian enclaves in New York City. Surveys, however, were conducted in Chinese, enhancing the generalizability of these findings to English-speaking and non-English–speaking Chinese Americans in New York City.
Overweight and obesity are a priority health issue. Asian Americans have a higher risk of illness and death caused by chronic disease at lower BMI levels than non-Hispanic whites (4,8); thus prevalence estimates of disease based on standard categories of BMI underestimate the health burden associated with adiposity in Asian American adults (12). Using modified cut points may help to identify Asian Americans at risk for CVD and improve programs designed to prevent CVD among Asian American subgroups.
Acknowledgments
This research was supported by grants from the National Institutes of Health National Institute on Minority Health and Health Disparities (P60 MD000538), the Centers for Disease Control and Prevention (U48DP005008 and U58DP005621), and the National Center for Advancing Translational Sciences (UL1TR001445).
Author Information
Corresponding Author: Laura C. Wyatt, MPH, Department of Population Health, NYU School of Medicine, 550 First Ave, VZN 8th Floor, New York, NY 10016. Telephone: 212-263-0288. Email: laura.wyatt@nyumc.org.
Author Affiliations: 1NYU School of Medicine, New York, New York. 2State University of New York, College at Old Westbury, Old Westbury, New York.
References
- Hoeffel EM, Rastogi S, Kim MO, Shahid H. The Asian population: 2010 Census brief 2012. https://www.census.gov/prod/cen2010/briefs/c2010br-11.pdf. Accessed January 11, 2017.
- Barnes PM, Adams PF, Powell-Griner E. Health characteristics of the Asian adult population: United States, 2004–2006. Adv Data 2008;(394):1–22. PubMed
- WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004;363(9403):157–63. CrossRef PubMed
- Palaniappan LP, Araneta MR, Assimes TL, Barrett-Connor EL, Carnethon MR, Criqui MH, et al. Call to action: cardiovascular disease in Asian Americans: a science advisory from the American Heart Association. Circulation 2010;122(12):1242–52. Erratum in: Circulation 2010;122(19):e516. CrossRef PubMed
- Rajpathak SN, Wylie-Rosett J. High prevalence of diabetes and impaired fasting glucose among Chinese immigrants in New York City. J Immigr Minor Health 2011;13(1):181–3. CrossRef PubMed
- Liao Y, Bang D, Cosgrove S, Dulin R, Harris Z, Taylor A, et al. Surveillance of health status in minority communities — Racial and Ethnic Approaches to Community Health Across the U.S. (REACH U.S.) Risk Factor Survey, United States, 2009. MMWR Surveill Summ 2011;60(6):1–44. PubMed
- Nelson DE, Holtzman D, Bolen J, Stanwyck CA, Mack KA. Reliability and validity of measures from the Behavioral Risk Factor Surveillance System (BRFSS). Soz Praventivmed 2001;46(Suppl 1):S3–42. PubMed
- Jih J, Mukherjea A, Vittinghoff E, Nguyen TT, Tsoh JY, Fukuoka Y, et al. Using appropriate body mass index cut points for overweight and obesity among Asian Americans. Prev Med 2014;65:1–6. CrossRef PubMed
- Oza-Frank R, Ali MK, Vaccarino V, Narayan KM. Asian Americans: diabetes prevalence across U.S. and World Health Organization weight classifications. Diabetes Care 2009;32(9):1644–6. CrossRef PubMed
- Merrill RM, Richardson JS. Validity of self-reported height, weight, and body mass index: findings from the National Health and Nutrition Examination Survey, 2001–2006. Prev Chronic Dis 2009;6(4):A121. PubMed
- Molenaar EA, Van Ameijden EJ, Grobbee DE, Numans ME. Comparison of routine care self-reported and biometrical data on hypertension and diabetes: results of the Utrecht Health Project. Eur J Public Health 2007;17(2):199–205. CrossRef PubMed
- Kumanyika S, Grier S. Targeting interventions for ethnic minority and low-income populations. Future Child 2006;16(1):187–207. CrossRef PubMed
Tables
Table 1. Sociodemographic and Health-Related Characteristics of Chinese Americans (N = 2,904) Surveyed in the Racial and Ethnic Approaches to Community Health Across the US (REACH US) Risk Factor Survey, New York City, 2009–2012a
| Characteristic | Valueb | Unweighted No.c |
|---|---|---|
| Sex | ||
| Male | 49.4 (47.2–51.5) | 1,244 |
| Female | 50.6 (48.5–52.8) | 1,660 |
| Age, mean, y | 47.0 (46.4–47.7) | 2,877 |
| Age group, y | ||
| 18–24 | 12.1 (10.8–13.6) | 241 |
| 25–44 | 34.7 (32.9–36.5) | 815 |
| 45–64 | 35.2 (33.5–37.0) | 1,036 |
| ≥65 | 18.0 (16.9–19.1) | 785 |
| Nativity | ||
| US born | 14.5 (13.1–16.0) | 343 |
| Foreign born | 85.5 (84.0–86.9) | 2,550 |
| Education | ||
| < High school diploma | 32.2 (30.5–33.9) | 1,049 |
| High school diploma/Some college | 34.8 (33.0–36.7) | 953 |
| College graduate | 33.0 (31.2–34.7) | 868 |
| Annual household income, $ | ||
| <25,000 | 55.1 (53.4–56.9) | 1,566 |
| 25,000–49,999 | 21.3 (19.8–22.9) | 531 |
| ≥50,000 | 23.6 (22.1–25.1) | 572 |
| Health insurance | ||
| Yes | 84.5 (83.0–85.8) | 2,490 |
| No | 15.5 (14.2–17.0) | 392 |
| Most recent routine check-up | ||
| ≤1 y | 72.9 (71.2–74.7) | 2,214 |
| >1 y or never | 27.1 (25.4–28.8) | 679 |
| Cigarette smoking | ||
| Current smoker | 10.5 (9.3–11.8) | 262 |
| Former smoker | 11.7 (10.6–13.1) | 355 |
| Never smoked | 77.8 (76.1–79.4) | 2,242 |
| Diagnosis of cardiovascular diseased | ||
| Yes | 5.9 (5.1–6.8) | 209 |
| No | 94.1 (93.2–94.9) | 2,656 |
a Survey items were adapted from the Behavioral Risk Factor Surveillance System interview (7).
b All values are percentage (95% confidence interval) unless otherwise indicated. Percentages were weighted to reflect the probability of selection, the number of eligible family members, and the age–sex population size.
c Not all categories add to 2,904 because some respondents did not answer all survey questions.
d Ever received a diagnosis of a heart attack, angina/coronary heart disease, or a stroke.
Table 2. Relationship Between BMI and CVD Risk Factors Using Asian-Modified and Standard BMI Cut Points for Chinese American (N = 2,904) Survey Respondents Reporting BMI in The Racial and Ethnic Approaches to Community Health Across the US (REACH US) Risk Factor Survey, New York City, 2009–2012a
| Variable | Total (N = 2,904) | BMI Cut Points Modified for Asian Population | Standard BMI Cut Points | ||||
|---|---|---|---|---|---|---|---|
| BMI <23.0 (n = 1,436) | BMI 23.0–27.49 (n = 1,123) | BMI ≥27.5 (n = 345) | BMI <25.0 (n = 2,053) | BMI 25.0–29.99 (n = 706) | BMI ≥30.0 (n = 145) | ||
| Self-reported diagnosis of diabetes | |||||||
| % (95% CI) | 9.2 (8.3–10.1) | 5.7 (4.7–6.8)b | 10.2 (8.7–11.9)b | 18.6 (15.3–22.5)b | 6.8 (5.9–7.9)b | 12.3 (10.3–14.7)b | 23.1 (17.8–29.5)b |
| Age-adjusted, OR (95% CI) | — | 1.0 [Ref] | 2.0 (1.5–2.7)b | 4.6 (3.3–6.6)b | 1.0 [Ref] | 2.1 (1.6–2.8)b | 5.3 (3.5–8.2)b |
| Fully adjustedc, OR (95% CI) | — | 1.0 [Ref] | 1.8 (1.3–2.5)b | 4.2 (2.8–6.2)b | 1.0 [Ref] | 1.9 (1.4–2.6)b | 5.1 (3.2–8.2)b |
| Self-reported diagnosis of high blood pressure | |||||||
| % (95% CI) | 23.2 (21.9–24.7) | 16.1 (14.5–17.9)b | 25.6 (23.4–28.0)b | 42.7 (37.6–48.1)b | 18.6 (17.2–20.1) | 29.8 (26.8–33.0)b | 53.7 (45.4–61.8)b |
| Age-adjusted, OR (95% CI) | — | 1.0 [Ref] | 2.0 (1.7–2.5)b | 5.6 (4.0–7.7)b | 1.0 [Ref] | 2.2 (1.8–2.7)b | 8.0 (4.9–13.1)b |
| Fully-adjustedc, OR (95% CI) | — | 1.0 [Ref] | 1.9 (1.5–2.5)b | 5.5 (3.9–7.7)b | 1.0 [Ref] | 2.1 (1.7–2.7)b | 7.9 (4.8–13.1)b |
| Self-reported diagnosis of high cholesterol | |||||||
| % (95% CI) | 30.2 (28.6–31.9) | 26.0 (23.8–28.2)b | 32.3 (29.5–35.3)b | 42.7 (36.5–49.1)b | 27.7 (25.9–29.7) | 35.8 (32.0–39.9) | 41.9 (33.1–51.3) |
| Age-adjusted, OR (95% CI) | — | 1.0 [Ref] | 1.4 (1.2–2.7)b | 2.0 (1.5–2.7)b | 1.0 [Ref] | 1.5 (1.2–1.8)b | 1.7 (1.2–2.6)d |
| Fully adjustedc, OR (95% CI) | — | 1.0 [Ref] | 1.3 (1.0–1.6)e | 1.7 (1.2–2.4)d | 1.0 [Ref] | 1.4 (1.1–1.7)e | 1.5 (0.9–2.3) |
Abbreviations: —, not applicable; BMI, body mass index; CI, confidence interval; CVD, cardiovascular disease; OR, odds ratio; Ref, reference.
a Survey items were adapted from the Behavioral Risk Factor Surveillance System interview (7). Percentages and odds ratios were weighted to reflect the probability of selection, the number of eligible family members, and the age–sex population size. BMI calculated as weight in kilograms divided by height in meters squared.
b P < .001.
c Fully adjusted model was adjusted for sex, age group, education, annual household income, health insurance (yes or no), most recent routine check-up (≤1 y ago or >1 y ago), self-reported CVD diagnosis, smoking, and nativity.
d P < .01.
e P < .05.
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors’ affiliated institutions.