| Literature DB >> 35216607 |
Lucy Y Min1, Rehnuma B Islam2, Nikhila Gandrakota2, Megha K Shah3.
Abstract
BACKGROUND: Asian Americans represent one of the fastest-growing immigrant groups in the U.S. and are at high risk for cardiometabolic diseases (CMDs), including type 2 diabetes, hypertension, coronary artery disease, and stroke. Despite the growth of Asians in the U. S, there is a gap in understanding the heterogeneity of CMDs across Asian subgroups and how these might be affected by the social determinants of health (SDOH), or the environment in which people live and work.Entities:
Keywords: Asian American; Cardiometabolic disease; Diabetes; Hypertension; Social determinants of health
Mesh:
Year: 2022 PMID: 35216607 PMCID: PMC8876533 DOI: 10.1186/s12913-022-07646-7
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Framework for Social Determinants of Health adapted from Healthy People 2030 SDOH and WHO
Fig. 2PRISMA flow diagram
Table of included studies and summary of findings
| Author (Year) | Setting | Study Design | Included Asian subgroup | Social factor examined | CMD | Impact on outcome | Quality assessment rating |
|---|---|---|---|---|---|---|---|
| Lee et al. (2020) [ | NHIS | Cross-sectional study | Chinese, Filipino, Asian Indian, Other Asians (Korean, Japanese, Vietnamese, and other Asian subgroups) | Acculturation | Diabetes, Cardiovascular disease (coronary heart disease, stroke) | Compared to U.S.-born white adults, the prevalence of type 2 diabetes was significantly greater among foreign-born Asians living in the U.S. for at least 15 years (OR = 1.3 [95% CI: 1.2–1.5]). Among Asians, foreign-born Asian Indians living in the U.S. for ≥15 years had highest odds of type 2 diabetes compared to U.S.-born whites followed by foreign-born Filipinos with ≥15 years of residency. | Fair |
| Bayog et al. (2018) [ | CHIS from 2011 to 2012 | Cross-sectional study | Filipino | Acculturation | Diabetes, hypertension | Nativity was significantly associated with hypertension and diabetes. Long-term immigrant Filipinos were 2.8 times (p < .0005) more likely to have hypertension and 4 times ( | Fair |
| Ursua et al. (2013) [ | Baseline data from the Project AsPIRE in the NYC and NJ area | Cross-sectional study | Filipino | Acculturation | Hypertension | Longer residence in U.S. was associated with hypertension status among Filipino immigrants. No association between language spoken and hypertension. | Fair/good |
| Ma et al. (2017) [ | Recruited from 8 Filipino community-based organizations in the PA and NJ region | Cross-sectional study | Filipino | Acculturation, Education | Hypertension | Filipinos who resided in the U.S. for 20–30 years were 3.73 times more likely to have hypertension than Filipinos who lived in the U.S. for less than 19 years. Filipinos with hypertension typically were more likely to have a college degree than Filipinos without hypertension. | Fair |
| Yi et al. (2016) [ | NYC Community Health Survey | Cross-sectional study | Chinese, South Asian | Acculturation, SES (Income, Education) | Hypertension | No statistical significance in association between years lived in U.S. and hypertension. Chinese and South Asian immigrants with hypertension were significantly less likely to speak English at home. Compared to Whites counterparts, foreign-born Chinese adults with hypertension were of a much lower SES profile. South Asians with hypertension were more likely to have a college education than White counterparts, while Chinese with hypertension were less likely to have a college education. | Fair |
| Kim et al. (2000) [ | Two types of community-based sites in MA: Korean churches and Korean grocery stores | Cross-sectional study | Korean | Acculturation, SES (Education) | Hypertension | Korean Americans with low English proficiency were more likely to be hypertensive. Those with education less than high school were more likely to have hypertensive than those with education greater than high school. | Good |
| Huang et al. (2015) [ | CHIS from 2007 to 2009 | Cross-sectional study | Chinese, Filipino, South Asian, Vietnamese, Korean, Japanese | Acculturation | Diabetes | The association of acculturation and diabetes varied based on ethnicity and gender. Among Filipinos, women who only spoke English at home were less likely to have diabetes, while men who only spoke English at home were more likely to have diabetes. Chinese men who spoke English at home were more likely to have diabetes. | Fair |
| Kandula et al. (2008) [ | MESA recruited from Baltimore, MD; Chicago, IL; Forsyth Co, NC; Los Angeles, CA; NY, NY; St Paul, MN | Cross-sectional study | Chinese | Acculturation | Diabetes | Among Chinese participants, there was no significant association between acculturation score and diabetes prevalence. | Good |
| Yang et al. (2007) [ | Mail survey in Michigan | Cross-sectional study | Korean | Acculturation | Diabetes, heart disease | No statistically significant trend in prevalence of diabetes in relation to length of residence in the U.S. for both men and women. | Fair |
| Boykin et al. (2011) [ | MESA recruited from Baltimore, MD; Chicago, IL; Forsyth Co, NC; Los Angeles, CA; NY, NY; St Paul, MN | Cross-sectional study | Chinese | SES (Income, Education) | Hypertension | No statistically significant association with income level and hypertension among Chinese women. No statistically significant association with income level and diabetes among Chinese men. Higher level of education was associated with lower prevalence of diabetes & hypertension for both Chinese women and men, but these trends were not statistically significant. | Fair/good |
| Shah et al. (2015) [ | MASALA- Two clinical sites: San Francisco Bay Area through UCSF and greater Chicago area through Northwestern University | Cross-sectional study | South Asian | SES (Income, Education) | Diabetes | Lower income (<$40,000 annually) and having less than a bachelor’s degree were associated with a greater prevalence of diabetes among South Asians although the tests of heterogeneity were not statistically significant ( | Good |
| Sentell et al. (2011) [ | Hawai’i Health Survey conducted by the Hawai’i State Dept of Health, Office of Health Status Monitoring | Cross-sectional study | Filipino, Japanese, other AAPI | SES (Education), Health Literacy | Diabetes | Japanese Americans with education less than high school were less likely to have diabetes compared to those with education more than high school. Similar nonsignificant trends were observed in Filipino Americans. Low health literacy was significantly associated with diabetes for Native Hawaiians and Japanese (p < 0.05). Odds ratio of low health literacy predicting diabetes was 1.80 for Filipino and 1.78 for Japanese. | Fair |
| Lagisetty et al. (2016) [ | MASALA- Two clinical sites: San Francisco Bay Area through UCSF and greater Chicago area through Northwestern University | Cross-sectional study | South Asian (India, Pakistan, Bangladesh, Nepal, Sri Lanka) | Social context | Diabetes | In the overall sample, no association between social cohesion and prevalence of hypertension or type 2 diabetes. But in South Asian women, higher perceived neighborhood social cohesion was associated with decreased prevalence of hypertension. | Good |
| Lu et al. (2019) [ | Baseline survey data from Asian American Liver Cancer Prevention Program was used for this ancillary study in Washington, DC | Cross-sectional study | Chinese, Korean, Vietnamese | Social context | Hypertension | Chinese participants with high social support were 64% less likely to have hypertension as compared to those who had low social support (OR 0.36, 95% CI 0.15, 0.87). Among Korean and Vietnamese groups, no significant difference in hypertension status was found for various psycho-logical measures. | Good |
NHIS National Health Interview Survey, CHIS California Health Interview Survey, AsPIRE Asian American Partnership in Research and Empowerment, MESA Multi-Ethnic Study of Atherosclerosis, MASALA Mediators of Atherosclerosis in South Asians Living in America
Represented Asian subgroups in the literature selected for the systematic review
| Chinese | Filipino | South Asiana | Korean | Vietnamese | Japanese | Other | |
|---|---|---|---|---|---|---|---|
| Lee et al. (2020) [ | ✓ | ✓ | ✓b | ✓c | |||
| Bayog et al. (2018) [ | ✓ | ||||||
| Ursua et al. (2013) [ | ✓ | ||||||
| Ma et al. (2017) [ | ✓ | ||||||
| Yi et al. (2016) [ | ✓ | ✓ | |||||
| Kim et al. (2000) [ | ✓ | ||||||
| Huang et al. (2015) [ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Kandula et al. (2008) [ | ✓ | ||||||
| Yang et al. (2007) [ | ✓ | ||||||
| Boykin et al. (2011) [ | ✓ | ||||||
| Shah et al. (2015) [ | ✓ | ||||||
| Sentell et al. (2011) [ | ✓ | ✓ | ✓ | ||||
| Lagisetty et al. (2016) [ | ✓ | ||||||
| Lu et al. (2019) [ | ✓ | ✓ | ✓ | ||||
a South Asian includes immigrants from India, Pakistan, Bangladesh, Nepal, and Sri Lanka
b Lee et al. included only Asian Indians, but for simplicity of the table, they are listed under the South Asian column
c Lee et al. listed “Other Asians” as Korean, Japanese, Vietnamese, and other Asian subgroups
Themes of SDOH associated with CMDs among Asian subgroups
| Acculturation | Socioeconomic Status | Social context | Health Literacy | |
|---|---|---|---|---|
| Lee et al. (2020) [ | ✓ | |||
| Bayog et al. (2018) [ | ✓ | |||
| Ursua et al. (2013) [ | ✓ | |||
| Ma et al. (2017) [ | ✓ | ✓ | ||
| Yi et al. (2016) [ | ✓ | ✓ | ||
| Kim et al. (2000) [ | ✓ | ✓ | ||
| Huang et al. (2015) [ | ✓ | |||
| Kandula et al. (2008) [ | ✓ | |||
| Yang et al. (2007) [ | ✓ | |||
| Boykin et al. (2011) [ | ✓ | |||
| Shah et al. (2015) [ | ✓ | |||
| Sentell et al. (2011) [ | ✓ | ✓ | ||
| Lagisetty et al. (2016) [ | ✓ | |||
| Lu et al. (2019) [ | ✓ | |||
Acculturation definitions by study
| Country of birth | Years lived in the U.S. | Language spoken at home | English proficiency | Generational Status | |
|---|---|---|---|---|---|
| Lee et al. (2020) [ | ✓ | ✓ | |||
| Bayog et al. (2018) [ | ✓ | ||||
| Ursua et al. (2013) [ | ✓ | ✓ | |||
| Ma et al. (2017) [ | ✓ | ✓ | ✓ | ||
| Yi et al. (2016) [ | ✓ | ✓ | |||
| Kim et al. (2000) [ | ✓ | ✓ | |||
| Huang et al. (2015) [ | ✓ | ✓ | ✓ | ||
| Kandula et al. (2008) [ | ✓ | ||||
| Yang et al. (2007) [ | ✓ |