| Literature DB >> 28176974 |
Wenjun Fan1, Debora H Lee1, John Billimek2, Sarah Choi3, Ping H Wang1.
Abstract
OBJECTIVE: The prevalence of diabetes mellitus (DM) is increasing rapidly, particularly in Asia. Asian immigrants in Western countries are a fast-growing population who carry both intrinsic risks due to their genetic background and extrinsic risks associated with Western lifestyles. However, recent trends in diabetes prevalence and associated risk factors among Asian immigrants in the USA are not well understood. RESEARCH DESIGN AND METHODS: We examined adults aged 18 and older from the recent California Health Interview Survey data sets from 2003 to 2013 to determine prevalence of known DM among first-generation Asian immigrants and whites. The impact of various DM risk factors in Asian immigrants relative to whites was analyzed and multivariable regression models were constructed to obtain adjusted DM risk in Asian immigrants versus in whites.Entities:
Keywords: Immigration; Minority; Pre-Diabetes; Survey Analysis
Year: 2017 PMID: 28176974 PMCID: PMC5278214 DOI: 10.1136/bmjdrc-2016-000327
Source DB: PubMed Journal: BMJ Open Diabetes Res Care ISSN: 2052-4897
Characteristics of survey participants—Asian immigrants versus whites
| 2003 | 2005 | 2007 | 2009 | 2011 | 2013 | |
|---|---|---|---|---|---|---|
| Asian/white | Asian/white | Asian/white | Asian/white | Asian/white | Asian/white | |
| Participants (#) (total population) | 3068/24 269 (2 376 091/11 933 848) | 3171/26 565 (2 630 460/12 309 496) | 3390/31 388 (2 564 432/11 934 462) | 3989/29 133 (2 561 937/12 092 288) | 3363/24 148 (2 722 942/11 282 029) | 1109/12 654 (2 752 795/11 325 363) |
| DM and pre-DM (#) (DM and pre-DM population) | 214/1751 (163 933/778 140) | 254/2243 (206 987/888 604) | 353/3273 (236 438/978 231) | 490/3053 (250 408/904 882) | 532/2741 (292 674/997 382) | 164/1607 (346 889/958 166) |
| DM (#) (DM population) | 197/1513 (148 969/678 380) | 218/1897 (179 248/751 951) | 294/2724 (179 509/812 382) | 406/2645 (199 918/763 855) | 434/2311 (231 558/836 081) | 125/1319 (277 116/769 668) |
| Pre-DM (#) (pre-DM population) | 17/238 (14 964/99 760) | 36/346 (27 739/136 653) | 59/549 (56 929/165 849) | 84/408 (50 490/141 027) | 98/430 (61 116/161 301) | 39/288 (69 773/188 498) |
| Age (years) | 44.4±0.3/48.3±0.1** | 44.9±0.3/48.6±0.1** | 46.2±0.3/48.7±0.1** | 46.4±0.5/48.5±0.2** | 46.7±0.4/50.0±0.2** | 44.7±0.8/47.5±0.3** |
| Male (%) | 47.3/48.6* | 44.8/49.3** | 46.4/49.2** | 47.2/49.3* | 45.0/49.1** | 43.6/48.7** |
| BMI (kg/m2) | 23.8±0.1/26.2±0.0** | 23.7±0.1/26.4±0.1** | 23.8±0.1/26.5±0.1** | 23.7±0.1/26.6±0.1** | 24.3±0.1/26.8±0.1** | 24.7±0.2/26.7±0.1** |
| Overweight (%) | 39.3/35.5 | 39.5/34.4 | 41.7/34.7** | 37.6/33.8 | 40.9/34.9* | 42.8/34.6* |
| Obesity (%) | 13.0/18.9** | 12.0/20.3** | 12.5/21.1** | 13.6/21.8** | 16.1/22.6** | 19.4/21.7 |
| Bachelor's degree or above (%) | 50.4/38.9** | 53.1/39.9** | 53.1/40.0** | 57.4/41.6** | 55.8/43.4** | 56.5/42.4** |
| High income (%) | 51.0/68.6** | 54.9/71.5** | 54.9/71.7** | 54.1/68.9** | 52.2/66.4** | 53.6/66.2 |
| Low income (%) | 17.2/5.4** | 13.1/4.8** | 14.4/5.3** | 12.6/6.4 | 14.3/7.7** | 13.2/7.4 |
| Lived in USA >15 years (%) | 53.2/- | 59.5/- | 62.4/- | 64.2/- | 63.8/- | 63.2/- |
| English proficiency (%) | 71.6/99.9** | 70.2/100.0** | 73.1/99.9** | 72.8/100.0** | 72.4/99.9** | 74.6/99.9** |
| Health insurance (%) | 81.0/87.2** | 79.5/88.2** | 81.8/88.1** | 82.5/85.7 | 81.0/86.4** | 81.2/86.4* |
| Routine medical care (%) | 86.6/88.0** | 87.8/90.9** | -/- | 83.3/88.9** | 83.0/88.7** | 83.9/89.0** |
| Smoking (%) | 13.4/17.3** | 10.7/16.3** | 11.0/15.0** | 10.4/14.2* | 10.2/14.9** | 10.0/13.6 |
| BP medications (%) | 16.2/18.7** | 17.6/20.2** | 19.1/21.2** | 20.3/20.3** | 19.0/22.4** | 17.9/22.6 |
| Heart failure (%) | 0.8/1.5** | 1.1/2.0** | 1.4/2.1** | 0.6/1.9 | 1.8/2.2** | 0.5/2.3* |
| Vegetable consumption (%) | −/− | 46.6/46.7 | 62.0/61.0 | 56.5/56.7 | 57.0/59.5 | −/− |
| Physical activity (%) | −/− | 23.9/30.6** | 25.5/36.2** | 26.0/34.7** | −/− | −/− |
Continuous data were presented as weighted means±SE, categorical data were presented as counts or percentages; data that were not available in the given data set was marked with ‘−’.
Data in parenthesis were estimated populations calculated based off weighted procedures developed by the CHIS.
Analyses were conducted using t-test for continuous variables and χ2 test for categorical variables; *p<0.05, **p<0.01 between Asian immigrants and whites within the same yearly data set.
BMI, body mass index; BP, blood pressure; DM, diabetes mellitus; pre-DM, prediabetes mellitus.
Figure 1Age-adjusted and sex-adjusted prevalence of diabetes of Asian immigrants and whites in California from 2003 to 2013. (A) Prevalence of all forms of DM, including DM and pre-DM. (B) Prevalence of DM. (C) Prevalence of pre-DM. Asian immigrants and whites were categorized into three age groups: 18–44, 45–64, and 65–85 years old. Prevalence was calculated within each age group and then weighted based on California age distribution data from the US Census data. The p values were calculated within each year data set by comparing the weighted percentages of Asian immigrants versus whites. *p<0.05, **p<0.01. DM, diabetes mellitus; pre-DM, prediabetes mellitus.
Impacts of various factors on DM risk in Asian immigrants versus in whites
| 2003 | 2005 | 2007 | 2009 | 2011 | 2013 | |
|---|---|---|---|---|---|---|
| Age | 1.35**(1.08 to 1.69) | 1.37** (1.08 to 1.73) | 1.35** (1.13 to 1.60) | 1.59** (1.21 to 2.07) | 1.59** (1.34 to 1.89) | 1.97** (1.44 to 2.71) |
| Male | 1.07 (0.86 to 1.32) | 1.11 (0.88 to 1.40) | 1.14 (0.97 to 1.35) | 1.34* (1.05 to 1.72) | 1.25* (1.05 to 1.49) | 1.58** (1.17 to 2.11) |
| BMI | 1.35**(1.08 to 1.68) | 1.58** (1.23 to 2.03) | 1.70** (1.42 to 2.05) | 2.08** (1.62 to 2.67) | 1.81** (1.49 to 2.21) | 2.17** (1.57 to 3.00) |
| Overweight | 1.28 (0.10 to 1.66) | 1.37* (1.01 to 1.85) | 1.37** (1.12 to 1.67) | 1.71** (1.29 to 2.28) | 1.50** (1.23 to 1.83) | 1.77** (1.23 to 2.55) |
| Obese | 1.04 (0.80 to 1.34) | 1.25 (0.88 to 1.79) | 1.16 (0.91 to 1.48) | 1.36 (0.99 to 1.86) | 1.28 (0.97 to 1.67) | 1.65* (1.06 to 2.57) |
| Bachelor's degree or above | 1.12 (0.91 to 1.38) | 1.18 (0.94 to 1.48) | 1.20* (1.02 to 1.43) | 1.46** (1.13 to 1.89) | 1.31** (1.10 to 1.57) | 1.64** (1.22 to 2.19) |
| High income | 1.08 (0.84 to 1.39) | 1.02 (0.82 to 1.28) | 1.02 (0.82 to 1.27) | 1.42* (1.07 to 1.87) | 1.20 (0.96 to 1.51) | 1.33 (0.96 to 1.83) |
| Low income | 1.00 (0.71 to 1.40) | 1.04 (0.71 to 1.52) | 0.96 (0.70 to 1.31) | 1.25 (0.75 to 2.09) | 1.20 (0.88 to 1.67) | 1.33 (0.74 to 2.42) |
| English proficiency | 0.93 (0.72 to 1.19) | 0.96 (0.72 to 1.27) | 1.08 (0.87 to 1.35) | 1.11 (0.87 to 1.43) | 0.98 (0.80 to 1.20) | 1.51* (1.06 to 2.14) |
| Health insurance | 1.10 (0.89 to 1.36) | 1.15 (0.91 to 1.44) | 1.19* (1.00 to 1.40) | 1.37* (1.06 to 1.77) | 1.28** (1.07 to 1.52) | 1.61** (1.20 to 2.17) |
| Routine medical care | 1.08 (0.87 to 1.34) | 1.12 (0.89 to 1.41) | – | 1.41** (1.09 to 1.82) | 1.30** (1.09 to 1.54) | 1.64** (1.22 to 2.20) |
| Smoking | 1.04 (0.83 to 1.29) | 1.10 (0.87 to 1.37) | 1.13 (0.96 to 1.34) | 1.33* (1.04 to 1.71) | 1.22* (1.03 to 1.46) | 1.56** (1.17 to 2.10) |
| BP medications | 1.31 (0.99 to 1.74) | 1.18 (0.93 to 1.51) | 1.26* (1.01 to 1.57) | 1.37* (1.00 to 1.87) | 1.46** (1.15 to 1.85) | 1.83** (1.20 to 2.79) |
| Heart failure | 1.89 (0.86 to 4.17) | – | 1.27 (0.87 to 1.86) | 1.40 (0.77 to 2.54) | 1.46 (0.88 to 2.12) | 1.14 (0.51 to 2.55) |
| Vegetable consumption | – | 1.10 (0.87 to 1.38) | 1.14 (0.96 to 1.34) | 1.34* (1.05 to 1.72) | 1.24* (1.04 to 1.48) | – |
| Physical activity | – | 1.04 (0.83 to 1.31) | 1.04 (0.88 to 1.23) | 1.26 (0.97 to 1.64) | – | – |
Data were presented as adjusted OR (95% CI); data that were not available in the given data set was marked with ‘-’.
Analyses were conducted using multivariable regression, *p<0.05, **p<0.01.
BMI, body mass index; BP, blood pressure; DM, diabetes mellitus.
Figure 2Subgroup analysis of physical activity rates—Asian immigrants versus whites stratified by DM status. Data were presented as weighted percentages of Asian immigrants or whites within each of the DM and non-DM groups. DM groups included participants affected by any form of DM, including DM and pre-DM; non-DM groups included participants unaffected by any form of DM. The p values were calculated within each group by comparing the weighted percentages of Asian immigrants versus whites. *p<0.05, **p<0.01. DM, diabetes mellitus.
Multivariable logistic regression models of DM risk in Asian immigrants compared with whites
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| 2003 | 1.36** (1.09 to 1.70) | 1.78** (1.35 to 2.34) | 1.72** (1.24 to 2.40) |
| 2005 | 1.39** (1.10 to 1.76) | 1.82** (1.32 to 2.51) | 1.61** (1.13 to 2.28) |
| 2007 | 1.36** (1.15 to 1.61) | 1.75** (1.41 to 2.17) | 1.69** (1.25 to 2.29) |
| 2009 | 1.60** (1.22 to 2.09) | 2.15** (1.56 to 2.95) | 1.87** (1.33 to 2.62) |
| 2011 | 1.61** (1.36 to 1.91) | 2.04** (1.66 to 2.52) | 1.95** (1.43 to 2.65) |
| 2013 | 2.03** (1.47 to 2.79) | 2.62** (1.76 to 3.93) | 3.20** (1.90 to 5.38) |
Data was presented as adjusted OR (95% CI).
Model 1: adjusted for age (continuous) and sex; model 2: model 1+overweight; model 3: model 2+Bachelor's degree or above +health insurance+BP medications.
Analyses were conducted using multivariable logistic regression, *p<0.05, **p<0.01.
BP, blood pressure; DM, diabetes mellitus.