Literature DB >> 35947608

Leading causes of death in Asian Indians in the United States (2005-2017).

Claudia Fernandez Perez1,2,3, Kevin Xi1,4, Aditya Simha1,5, Nilay S Shah1,6, Robert J Huang1,7, Latha Palaniappan1,8, Sukyung Chung1, Tim Au1,9, Nora Sharp1,10, Nathaniel Islas1,11, Malathi Srinivasan1,8.   

Abstract

OBJECTIVE: Asian Indians are among the fastest growing United States (US) ethnic subgroups. We characterized mortality trends for leading causes of death among foreign-born and US-born Asian Indians in the US between 2005-2017. STUDY DESIGN AND
SETTING: Using US standardized death certificate data, we examined leading causes of death in 73,470 Asian Indians and 20,496,189 non-Hispanic whites (NHWs) across age, gender, and nativity. For each cause, we report age-standardized mortality rates (AMR), longitudinal trends, and absolute percent change (APC).
RESULTS: We found that Asian Indians' leading causes of death were heart disease (28% mortality males; 24% females) and cancer (18% males; 22% females). Foreign-born Asian Indians had higher all-cause AMR compared to US-born (AMR 271 foreign-born, CI 263-280; 175.8 US-born, CI 140-221; p<0.05), while Asian Indian all-cause AMR was lower than that of NHWs (AMR 271 Indian, CI 263-278; 754.4 NHW, CI 753.3-755.5; p<0.05). All-cause AMR increased for foreign-born Asian Indians over time, while decreasing for US-born Asian Indians and NHWs.
CONCLUSIONS: Foreign-born Asian Indians were 2.2 times more likely to die of heart disease and 1.6 times more likely to die of cancer. Asian Indian male AMR was 49% greater than female on average, although AMR was consistently lower for Asian Indians when compared to NHWs.

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Mesh:

Year:  2022        PMID: 35947608      PMCID: PMC9365163          DOI: 10.1371/journal.pone.0271375

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


1. Introduction

Asian Indians are one of the fastest growing populations in the United States (US), increasing from 2.3 million individuals in 2005 to 4.8 million in 2020 [1]. Despite this, research in Asian American health often aggregates all Asian subgroups (the six largest in the US are Chinese, Asian Indian, Filipino, Vietnamese, Korean, and Japanese, accounting for >90% of Asian Americans in the US [3]) into a single population, masking differences in health trends between subgroups [2-5]. Understanding population patterns of the prevalent causes of death in specific Asian American subgroups may contextualize biological, sociocultural and lifestyle factors affecting health outcomes in these different populations [6-8], informing targeted interventions and resource allocation to improve population health. Asian Indians living in the Indian subcontinent and surrounding areas have larger proportions of total death due to cardiovascular-related disease (29%) than Asian Indians living in the US (24%) and other Asian subgroups (28%) [9-12]. Many cultural and biological factors have been proposed [13, 14] to explain this disproportionate burden, including a genetic predisposition to insulin resistance [15] and a “BMI penalty” [16], which describes a higher risk for disease at lower BMI. Unlike the Hispanic community, in which population growth due to immigration has tapered [17], US South Asian (including Asian Indian) population growth has been driven by immigration since the 1960s, most recently with migrant workers in the technology industry, who wish to stay in the US long-term [18, 19]. Blending of American and Asian Indian cultures may impact modifiable health risks [20, 21], supporting place of birth as an important determinant of health. Heart disease mortality declines over the past two decades were less significant for Asian Americans than for non-Hispanic Whites (NHW), but heart disease mortality rates actually increased in Asian Indians in the early 2000s [3, 9]. Unfortunately, national surveillance inadequately samples Asian American subgroups [7], preventing adequate characterization of their longitudinal health trends. Using mortality data from the National Center for Health Statistics (NCHS) [22] from 2005–2017, we characterized trends in all-cause and cause-specific mortality rates from the top 10 causes of death in Asian Indians in the US, examined overall, by age, and by place of birth.

2. Methods

2.1 Study data

This study is considered not human subject research by the Stanford Institutional Review Board (protocol number 53429). We examined US mortality records from the National Center of Health Statistics (Hyattsville, MD), containing the Centers for Disease Control and Prevention database of death certificates from 2005–2017, under a data use agreement, which was fully anonymized prior to analysis. This was a retrospective study using fully de-identified data, and it was approved by the Stanford IRB. The US standard certificate of death contains detailed demographic information for each decedent, including race/ethnicity, age, sex (male or female), place of birth, and immediate and underlying causes of death (listed as primary, secondary, and tertiary causes). We used the primary cause as the cause of death in our study. We characterized the underlying cause of death using the following International Classification of Diseases, 10th revision (ICD-10) codes and subcodes: heart diseases (I00-I09, I20-51), malignant neoplasms (C00-C97), heart failure (I50), hypertensive diseases (I11, I13), chronic lower respiratory diseases (J40-J47), accidents (unintentional injuries) (V00-V99, W00-W99, X00-59, Y85-Y86), cerebrovascular diseases (I60-I69), Alzheimer’s disease (G30), diabetes mellitus (E10-E14), influenza and pneumonia (J09-J18), chronic liver diseases (K70-K77), and nephritis and nephrosis (N00-N08). These categories were chosen from causes highlighted in previous studies, and account for 85.6% of all Asian Indian deaths [9]. Decedents categorized as more than one ethnicity or as "Other Asian", and those missing relevant information pertaining to cause of death, year of death, age, or race/ethnicity, were excluded. We compared mortality between foreign- and US-born Asian Indian males and females with NHW mortality in the same categories. The decedents’ age at death was grouped in 5-year intervals, from ages 1–79. Special age brackets were created for the 0–1 age group, the 1–19 age groups, the 70–79 age group, and the 80–99 age group, in order for census data to be comparable to survey data [10]. Linear interpolation of 2000 and 2010 US Census data was used to calculate population sizes [10, 17]. Annual population was estimated using the 2005–2017 1-year American Community Survey (ACS) data [1], which stratifies the population by nativity, race (including Asian subgroup details), age bracket, and sex (male or female). ACS data was used to accurately estimate foreign-born and US-born Asian Indian populations by applying the nativity percentages to each census projection. The 2010 US Census population was the reference used for age-standardization. The 2003 US standard death certificate disaggregated Asian race into six Asian subgroups: Chinese, Asian Indian, Filipino, Vietnamese, Korean, and Japanese, as well as other Asian. States adopted the 2003 standard certificate revision on a rolling basis [23]. Annualized data accounted for this rolling adoption by including the population of a state in the overall population denominator starting with the year in which the state adopted the 2003 US standard death certificate. Accordingly, Asian Indian decedents were included in analysis only when annual state-level data were available for both decedent frequency (death certificates) and population size (US Census and ACS data).

2.2 Statistical analysis

We calculated age-standardized mortality rate (AMR) as deaths per 100,000 person-years, for each ICD-10 coded cause of death from 2005–2017. We then sorted ICD-10 coded data by NCHS category [2], aggregating causes of death into 14 similar groups (e.g. “Diseases of heart”, “Malignant neoplasms”). The top 10 causes of death by overall mortality rate were further analyzed to understand the greatest burden of disease in the Asian Indian population. The AMR was calculated and stratified by place of birth (foreign-born vs. US-born) and sex (male vs. female) for each cause of death. All-cause mortality was also examined as the sum of all AMRs from any cause stratified by race/ethnicity, place of birth, and sex. To examine differences in mortality trends between Asian Indian subgroups and NHWs, we used linear regression to estimate the trendline for all-cause mortality, as well as the top 10 specific causes from 2005–2017 by racial/ethnic group, place of birth, and cause of death. Analyses were conducted in R version 4.02, using the epitools packet of statistical tools for direct age-standardization and comparison of standardized rates, and using a 95% confidence interval. Results were determined to be significant in the case of non-overlapping confidence intervals (p < 0.05).

3. Results

A total of 73,470 (68,100 foreign-born & 5,370 US-born) Asian Indian deaths were identified in the US between 2005–2017 () [24]. Overall, the leading causes of death amongst Asian Indians in this time period, in descending order by AMR, were: heart diseases (AMR 75.6 per 100,000, CI[74.5–76.7]), malignant neoplasms (58.6, CI[57.7–59.6]), accidents (19.6, CI[19.1–20.2]), diabetes mellitus (17.5, CI[17.0–18.1]), cerebrovascular diseases (16.6, CI[16.1–17.1]), influenza and pneumonia (16.0, CI[15.5–16.5]), Alzheimer’s disease (11.6, CI[11.2–12.0]), chronic liver diseases (10.4, CI[10.0–10.8]), nephritis and nephrosis (7.2, CI[6.9–7.6]), and chronic lower respiratory diseases (6.1, CI[5.7–6.4]) ().

3.1 All-cause mortality

All-cause mortality rates were higher in males (AMR 323.6 per 100,000 foreign-born, CI[306-346] vs. 241.18 per 100,000 US-born, CI[172-339]) compared to females (AMR 227.5 in foreign-born, CI[217-241] vs. 145.6 in US-born, CI[99.0–213]), an average of 48.8% difference in AMR. US-born Asian Indian females had lower all-cause mortality across a majority of study years compared to their foreign-born counterparts, while this difference was not significant in men (). All-cause mortality differences were largely due to differences in heart disease (38% of difference) and cancer mortality rates (21% of difference) between US-born and foreign-born populations. Asian Indian AMR was lower compared to NHWs for cause-specific and all-cause mortality, regardless of nativity ().

3.1.1 Trends in all cause-specific mortality rates

Foreign-born Asian Indian all-cause mortality rates consistently trend in the opposite direction of both US-born Asian Indians and NHWs. All-cause mortality rates trended downwards for NHWs (-1.2% per year in males, -1.0% per year in females) and US-born Asian Indians (-2.7% per year in males, -2.0% per year in females), while rising in foreign-born Asian Indians (+0.8% per year in males, +1.0% per year in females). In terms of absolute AMR difference from 2005 to 2017, all-cause mortality decreased in NHW males (-252.1 per 100,000 between 2005–2017), NHW females (-125.8 per 100,000), US-born Asian Indian males (-114.2 per 100,000), and US-born Asian Indian females (-52.0 per 100,000). In contrast, all-cause mortality increased in foreign-born Asian Indian males (+38.2 per 100,000) and foreign-born Asian Indian females (+33.8 per 100,000) ().

3.2 Cause-specific mortality

3.2.1 Females

Amongst women, we found significant differences in AMR between foreign-born vs. US-born Asian Indian females in heart disease (AMR 57.0 foreign-born, CI[55.6–58.5] vs. 20.8 US-born, CI[16.3–26.3]), malignant neoplasms (57.0 foreign-born, CI[55.5–58.5] vs. 34.9 US-born, CI[28.8–42.0]), diabetes mellitus (14.5 foreign-born, CI[13.7–15.4] vs. 6.4 US-born, CI[4.0–9.8]), cerebrovascular diseases (17.1 foreign-born, CI[15.7–17.3] vs. 7.6 US-born, CI[4.8–10.9]), and influenza and pneumonia (14.5 foreign-born, CI[13.4–14.9] vs. 7.2 US-born, CI[3.4–8.9]) () ().

3.2.2 Males

Amongst males, cause-specific mortality rates were on average 49% higher when compared to corresponding female cause-specific AMR in the aggregated Asian Indian population. We found significant differences in AMR between the foreign-born and US-born Asian Indian male populations in heart disease (AMR 95.8 per 100,000 foreign-born, CI[94.0–97.6] vs. 50.2 per 100,000 US-born, CI[42.8–58.7]), malignant neoplasms (62.0 foreign-born, CI[60.6–63.5] vs. 39.8 US-born, CI[33.0–47.8]), diabetes mellitus (20.8 foreign-born, CI[20.0–21.7] vs. 13.1 US-born, CI[9.3–18.0]), cerebrovascular diseases (17.4 foreign-born, CI[16.6–18.2] vs. 7.1 US-born, CI[4.6–10.7]), influenza and pneumonia (18.5 foreign-born, CI[17.7–19.4] vs. 7.0 US-born, CI[4.5–10.6]), Alzheimer’s disease (13.2 foreign-born, CI[12.5–14.0] vs. 5.5 US-born, CI[3.6–8.3]), and chronic liver disease (13.2 foreign-born, CI[12.6–14.0] vs. 7.3 US-born, CI[4.8–10.9]) ()().

3.2.3 Age

The average age of death was over double for foreign-born Asian Indians (70.7 years) compared to US-born (35.1 years), largely explained by only 12.1% of US-born Asian Indians being over the age of 65 at time of death. Average age of death in years for foreign-born Asian Indians was greater in all observed causes including heart disease (74.1 foreign-born, 51.6 US-born), malignant neoplasms (67.3 foreign-born, 43.1 US-born), diabetes mellitus (73.1 foreign-born, 34.7 US-born), cerebrovascular diseases (76.3 foreign-born, 53.1 US-born), influenza and pneumonia (76.7 foreign-born, 31.1 US-born), Alzheimer’s disease (77.0 foreign-born, 27.2 US-born), chronic liver disease (65.4 foreign-born, 31.0 US-born), and accidents (49.7 foreign-born, 23.6 US-born) (). Asian Indian men (66.7 years) also died at a younger average age than Asian Indian women (72.1 years). Average age of death in years for female Asian Indians was greater in all but one of the observed causes, including heart disease (70.8 male, 78.3 female), diabetes mellitus (69.4 male, 75.2 female), cerebrovascular diseases (73.11 male, 78.7 female), influenza and pneumonia (74.7 male, 75.5 female), Alzheimer’s disease (72.7 male, 74.9 female), chronic liver disease (60.8 male, 69.7 female), and accidents (43.7 male, 49.5 female). Asian Indian women died of malignant neoplasms (67.4 male, 65.4 female) at a younger age ().

3.2.4 Foreign-born vs. US-born

Examining cause-specific mortality rates, AMR was higher in the foreign-born Asian Indian population compared to the US-born for all causes of death () (): heart disease (AMR 76.9 per 100,000 foreign-born, CI[75.8–78.1] vs. 35.2 per 100,000 in US-born, CI[30.9–40.1]), malignant neoplasms (59.3 foreign-born, CI[58.3–60.3] vs. 37.1 US-born, CI[32.5–42.3]), accidents (20.2 foreign-born, CI[19.5–20.9] vs. 17.8 US-born, CI[15.7–20.4]), diabetes mellitus (17.7 foreign-born, CI[17.2–18.3] vs. 9.7 US-born, CI[7.4–12.5]), cerebrovascular disease (16.9 foreign-born, CI[16.4–17.5] vs. 7.3 US-born, CI[5.4–9.6]), influenza and pneumonia (16.2 foreign-born, CI[15.7–16.8] vs. 6.3 US-born, CI[4.6–8.6]), Alzheimer’s disease (11.7 foreign-born, CI[11.3–12.2] vs. 6.5 US-born, CI[4.9–8.6]), chronic liver diseases (10.4 foreign-born, CI[10.0–10.8] vs. 6.1 US-born, CI[4.5–8.2]), and nephritis and nephrosis (7.3 foreign-born, CI[7.0–7.8] vs. 4.3 US-born, CI[2.8–6.4]). ().

4. Discussion

Between 2005 and 2017, heart disease (AMR 75.6 per 100,000, CI[74.5–76.7]) was the leading cause of death amongst Asian Indians in the United States, followed by malignant neoplasms (AMR 58.6, CI[57.7–59.6]) and accidents (AMR 19.6, CI[19.1–20.2]), which accounted for 25.4%, 22.0% and 8.5% of deaths in Asian Indians, respectively. Mortality rates from malignant neoplasms, influenza/pneumonia, and chronic liver disease increased for Asian Indians during this time period compared to NHWs, in whom these mortality rates decreased. Alzheimer’s disease mortality rate increased by 129% for foreign-born Asian Indians over this time period, compared to a 27% increase in NHWs, perhaps related to the aging foreign-born Asian Indian population. All-cause mortality rates decreased for both aggregated Asian Indians, US-born Asian Indians, and NHWs, but increased for foreign-born Asian Indians. Differences in leading causes of death were observed by sex and place of birth. Malignant neoplasms (AMR 56.2 per 100,000) was the leading cause of death in Asian Indian females, while heart disease (AMR 94.5 per 100,000) was the leading cause in Asian Indian males. For foreign-born Asian Indian females, heart disease and malignant neoplasms were tied as the leading causes of death (AMR 57.0 per 100,000), while for US-born Asian Indian females, malignant neoplasms was the sole leading cause of death (AMR 34.9 per 100,000). In Asian Indian males, heart disease was the sole leading cause of death (AMR 95.8 per 100,000 in foreign-born, 50.2 per 100,000 in US-born). For foreign-born Asian Indians, heart disease was the leading cause of death (AMR 76.9 per 100,000), while for US-born Asian Indians, the leading cause of death was malignant neoplasms (AMR 37.2 per 100,000). Additionally, foreign-born Asian Indians died at a higher rate from all causes than US-born Asian Indians throughout this period, but they died at an older average age (70.7 foreign-born, 35.0 US-born). The significantly lower average age of death for US-born Asian Indians arises from the younger age demographics of this group, explained by historical and migratory trends [18, 19]. Heart disease is the leading cause of death in South Asians because of higher burden of cardiovascular risk factors compared to NHWs [25], which are related to cultural differences in dietary patterns, physical activity, genetics, and response to medications [5, 11, 26]. For instance, the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study [27] examined cardiovascular health factors and behaviors in middle-aged South Asians living in America (predominantly foreign-born Asian Indians). In this study, only 11% of those aged 40–59 years old achieved ideal levels in five or more out of the seven cardiovascular health (CVH) metrics, such as smoking and diet [28], with only 2.4% of the MASALA participants having dietary quality in the ideal range. However, since adults aged 65 or older are more likely to develop heart disease compared to younger adults [29], the high rate of heart disease mortality in foreign-born Asian Indians observed is likely in part due to the older age distribution. Nonetheless, prior research has shown that Asian Indians also have a high burden of premature mortality from heart disease, evidenced by high years of potential life lost due to ischemic heart disease in Asian Indians [30]. Heart disease mortality rates decreased between 2005–2017 in both foreign-born and US-born Asian Indians, which is attributable to clinical and public health improvements in primary and secondary heart disease prevention. However, we still see a more notable decrease in heart disease mortality during this period for US-born Asian Indians when compared to foreign-born, suggesting an important contribution of cultural and socioeconomic factors towards heart disease mortality risk. Developing interventions that address the cultural and socioeconomic determinants of health and modifiable risk factors that are contributing to this observed trend is critical to implement clinical and public health practices that can improve the health and wellbeing of specific ethnic subgroups. The mortality rate from malignant neoplasms was relatively stable over this time period, slightly increasing in the foreign-born (+18%) and slightly decreasing in the US-born (-12%) Asian Indian population. However, there is large heterogeneity between the age distributions of the US-born Asian Indian population compared to the foreign-born (), which determines the types of cancers contributing to the mortality rate in each population and which consequently influence trends, since different types of cancer have differing mortality rates. Other factors such as screening rates and accessibility to preventive and other health services might have also played a role in the observed trends. Foreign-born Asian Indians are likely to face more barriers in accessing health care services, which leads to worse health outcomes. It is imperative that the increase in mortality rate from malignant neoplasms among the foreign-born Asian Indian subgroup be further explored and that appropriate clinical and public health interventions addressing the underlying risk factors be developed accordingly. Additionally, Asian Indian accident-related mortality has distinctly higher mortality rates in the younger age brackets, but overall has increased in the foreign-born population (+10.1%) and decreased in the US-born population (-6.2%) over this time period. Further research is needed to elucidate these trends. Unlike the “healthy immigrant” effect seen in the Hispanic/Latino population in the US [31], in which foreign-born Hispanic/Latinos seem to have better health than their US-born counterparts, foreign-born Asian Indians have higher mortality rates than US-born Asian Indians. Multiple explanations have been posited for the “healthy immigrant” paradox, for instance individuals’ returning to their home countries when ill/approaching death, which biases mortality estimates. It is unclear the extent to which similar factors operate in the Asian Indian population in the US impacting mortality rates in foreign-born Asian Indians. The younger age distribution in the US-born Asian Indian population likely plays a role in the differences by place of birth, as the average age of death in years was over double for foreign-born (70.7) compared to US-born (35.0) Asian Indians, and we observe greater mortality rates in older populations. Generational differences in health-related behaviors may also explain a portion of the foreign-born/US-born mortality gap. Heart disease and malignant neoplasms account for a majority of the difference in mortality between the foreign-born and US-born Asian Indian populations, with heart disease alone accounting for 38% of this difference, and heart disease and malignant neoplasms combined accounting for 59% of the difference. This is important, as these two conditions affect older people more often, posing a greater risk for the demographically older foreign-born Asian Indian population. Collectively, the differences in mortality patterns may reflect cultural differences related to behavior such as diet and physical activity, including higher carbohydrate- and fat-content diets and a more sedentary lifestyle [32], which influences both heart disease and cancer-related mortality [28], and differences in social determinants of health between foreign-born and US-born Asian Indians. Although a relatively small proportion of the Asian Indian population is uninsured (approximately 6% after the Affordable Care Act in 2015) [33, 34], health care access differences related to health literacy, language accessibility, and utilization of healthcare services may also influence differences in mortality between the foreign-born and US-born Asian Indian populations. There are also notable disparities in cancer screening among Asian Indians, with this population facing several sociocultural barriers to access of this type of care, including individual and structural barriers as well. Further research would be needed to understand how this translates into differences in cancer-related mortality between foreign-born and US-born Asian Indians [35]. These observations are important for both clinical and public health practices, since interventions will need to account for these different trends, demographic factors, and barriers to effectively target the subgroup-specific problems affecting foreign-born and US-born Asian Indians differently, as well as the underlying risk factors involved. These findings can offer insights and guide further research to expand understanding of all these determinants and to develop culturally sensitive practices that reduce these disparities [35]. This study has several strengths and limitations. The National Vital Statistics program [22] captures all deaths in the United States and contains disaggregated Asian ethnicity data to understand mortality patterns in Asian American subgroups. However, causes of death, race/ethnicity and other key fields on death certificates may be unintentionally misclassified by funeral directors, coroners or reporting physicians, the individuals responsible for their completion [7, 36]. This information is supplied by next-of-kin, but if unavailable, this field is otherwise completed by the funeral directors, coroners or reporting physicians. This method may lead to incorrect racial/ethnic categorization, potentially leading to other South Asian nationalities (including Pakistani, Nepalese, and Bhutanese) being classified as Asian Indian [37], among other potential critical errors. Moreover, multiracial individuals might be assigned to a single racial group [38], further obscuring trends in ethnic subgroups. Improving national surveillance systems to accurately represent these ethnic subgroups is also essential for accurate characterization of health trends and improved clinical and public health practices targeting these subgroups of the population.

5. Conclusion

Leading causes of death in Asian Indians in the US between 2005–2017 were heart diseases, malignant neoplasms, and accidents or unintentional injuries, with differences noted by sex and place of birth. Further work to identify the biological and sociocultural factors related to immigration and acculturation is warranted to better understand differences in mortality related to nativity in this population. Additional research into mortality rates of Asian Indians using the 2020 census data for the population is also important. Ultimately, the results of this study begin to inform the critical need for culturally appropriate prevention initiatives and clinical practices, as well as public policy development targeted towards the leading causes of mortality in individual ethnic subgroups in order to support health equity and ensure adequate resource allocation and health spending.

Annual mortality ratio for leading causes of death in Asian Indians and non-Hispanic Whites in the United States by nativity, 2005–2017.

(DOCX) Click here for additional data file.

Annual mortality ratio for leading causes of death in Asian Indians and non-Hispanic Whites in the United States by gender, 2005–2017.

(DOCX) Click here for additional data file. 22 Sep 2021
PONE-D-21-08873
Leading Causes of Death in Asian Indians 2005-2017: Mortality rates across nativity, age, and sex
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(Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The data appear to be HIPAA restricted data but it says authors with appropriate credentials may access the data. It was a little difficult to understand the age of mortality item in the earlier section of the paper though it is explained in the discussion. Maybe where it is first introduced, the authors might refer the reader to the later discussion or give a brief explanation? Additionally, now that the 2020 Census data are coming out, it could be good to note that and state additional examination of mortality for this key population should continue for the data to come using the 2020 population denominators etc. I understand use of ACS data for the later years in the current data set. Reviewer #2: Overall, this is a well-conducted study characterizing patterns of mortality among an understudied yet at-risk population group in the United States. This builds upon prior longitudinal data investigating trends among Asian Indians to identify particularly vulnerable populations. My review largely surrounds the implications of this work for clinical and public health practice, along with minor comments, as enumerated below: *The authors should provide a citation about the drivers of immigration for Asian Indians, both in the 1960s and more recently. The claims are made without references. *The authors assert that blending of Asian Indian and American cultures may impact risks, but don't expand upon why specifically for this population group. In addition, they also state that this consideration supports "place of birth" as an important health determinant, which implies the presumption that this is only or primarily true for immigrants. *Outside of being "in accordance with survey data", the rationale for special age brackets is unclear. Please provide more context. *The US-born Asian Indian average age of death seems shocking low (35.1) and it is unclear how Figure 4 makes this clear (the title of the figure reflects age distributions by sex for selected endpoints). I would urge the authors to make sure that value is accurate. If so, this requires some attention in the Discussion. *Building off the prior comment, I find the Discussion to be primarily a repeat of the results. Although it was not measured in this study, I would like to see the results placed in more nuanced context of the extant literature. Especially with respect to modifiable risk factors that have socio-cultural underpinnings, these need to be described more fully (currently there are generic statements about diet, physical activity, genetics, and response to medication). If the reader is to be a health professional, what do these results mean for intervention and prevention? *Similarly, more detail about differential distributions of cancer among Asian Indians would be beneficial, as this study treats cancer death as a singular outcome. *The idea that this study is in contrast with a "healthy immigrant" effect is compelling, and I wish more attention was provided to elucidate this; currently, the authors make general comments about generational and cultural differences related to behavior, along with health care access differences. I think an opportunity is lost for this paper to provide concrete directions for clinical and public health practice, as opposed to a reiteration of the findings in the final sections of the manuscript. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 24 Jan 2022 All points addressed in "Response to Revisions" document uploaded as additional Cover Letter. 28 Feb 2022
PONE-D-21-08873R1
Leading Causes of Death in Asian Indians in the United States (2005 - 2017)
PLOS ONE Dear Dr. Fernandez Perez, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.
 
First off my apologies for the delay.  Your original handling editor needed to hand off this assignment and I stepped in to take over earlier this week.  I am sending this back to you to give you a chance to revise your rebuttal letter.  The one that your submitted makes no reference to any of the issues raised by reviewer two, instead mentioning only some minor revisions in response to editorial issues.  I have reproduced the original comments of reviewer two below for easy reference.  Please detail what revisions were made in response to each of these criticisms.  Please also keep in mind that reviewer two will be invited to review your revision. Please submit your revised manuscript by Apr 14 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Patrick R Stephens, Ph.D. Academic Editor PLOS ONE Comments from reviewer two: Overall, this is a well-conducted study characterizing patterns of mortality among an understudied yet at-risk population group in the United States. This builds upon prior longitudinal data investigating trends among Asian Indians to identify particularly vulnerable populations. My review largely surrounds the implications of this work for clinical and public health practice, along with minor comments, as enumerated below: *The authors should provide a citation about the drivers of immigration for Asian Indians, both in the 1960s and more recently. The claims are made without references. *The authors assert that blending of Asian Indian and American cultures may impact risks, but don't expand upon why specifically for this population group. In addition, they also state that this consideration supports "place of birth" as an important health determinant, which implies the presumption that this is only or primarily true for immigrants. *Outside of being "in accordance with survey data", the rationale for special age brackets is unclear. Please provide more context. *The US-born Asian Indian average age of death seems shocking low (35.1) and it is unclear how Figure 4 makes this clear (the title of the figure reflects age distributions by sex for selected endpoints). I would urge the authors to make sure that value is accurate. If so, this requires some attention in the Discussion. *Building off the prior comment, I find the Discussion to be primarily a repeat of the results. Although it was not measured in this study, I would like to see the results placed in more nuanced context of the extant literature. Especially with respect to modifiable risk factors that have socio-cultural underpinnings, these need to be described more fully (currently there are generic statements about diet, physical activity, genetics, and response to medication). If the reader is to be a health professional, what do these results mean for intervention and prevention? *Similarly, more detail about differential distributions of cancer among Asian Indians would be beneficial, as this study treats cancer death as a singular outcome. *The idea that this study is in contrast with a "healthy immigrant" effect is compelling, and I wish more attention was provided to elucidate this; currently, the authors make general comments about generational and cultural differences related to behavior, along with health care access differences. I think an opportunity is lost for this paper to provide concrete directions for clinical and public health practice, as opposed to a reiteration of the findings in the final sections of the manuscript. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 31 May 2022 Initial response to reviewers letter is included as "INITIAL Response to Reviewers 1" and latest response to comments letter is included as "Response to Revisions 2" or similar names, but with versions clearly indicated. Please reach out if further clarification of earlier stages of the revision process is needed, or with any other additional comments/inquiries. Submitted filename: Response to Reviwers.docx Click here for additional data file. 14 Jun 2022
PONE-D-21-08873R2
Leading Causes of Death in Asian Indians in the United States (2005 - 2017) PLOS ONE Dear Dr. Fernandez Perez, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. First off, my sincere apologies with the confusion around revisions to the previous versions and the delays that resulted from this.  The reviewer that asked for major revisions has had a chance to look at the updated manuscript now, and is happy with your updates.  The reviewer has also suggested a minor update to the discussion to make the recommendations to workers in the field more clear, particularly for HCWs that service Asian Indian populations.  I am sending this back to you one more time to give you a chance to implement this suggestion.  However, I leave the extent of the revision to your discretion since the manuscript is already technically sound.  I do not anticipate needing to send your final revision out for further review. Please submit your revised manuscript by Jul 29 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.
If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Patrick R Stephens, Ph.D. Academic Editor PLOS ONE Journal Requirements: Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #2: For the most part, the concerns I articulated in my initial review have been addressed. However, in the Discussion, I would have liked to see more specificity in the recommendations for public health practice. For instance, there is a wealth of literature looking at specific dietary patterns among Asian Indians that could have been emphasized, or social/cultural barriers to cancer screening. Currently, the implications for disease prevention and treatment still remain in the realm of generic recommendations which could be applied to any population group. I defer to the editors to determine if and how this sections could be more concrete and targeted, given the population-specificity of this work. I look forward to seeing this manuscript as a publication in the base of peer-reviewed literature in the near future. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #2: No ********** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
28 Jun 2022 Thank for suggesting this review to strengthen the discussion section and recommendations to healthcare practitioners. Additional information has been incorporated to reflect the notable cancer disparities among Asian Indians, as well as the sociocultural barriers that they face. It’s also been pointed out that there is crucial need for further research into how this translates into differences in cancer related mortality between foreign-born and US-born Asian Indians. We had also incorporated information about specific diet related and other lifestyle factors that can be at play in the broad disparities that we see among this population. We further note how these findings can guide further research and practitioners in developing culturally sensitive practices that reduce these disparities. Submitted filename: Response to Revisions 3.docx Click here for additional data file. 30 Jun 2022 Leading Causes of Death in Asian Indians in the United States (2005 - 2017) PONE-D-21-08873R3 Dear Dr. Fernandez Perez, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.  Congratulations, and my apologies again that this took so long. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Patrick R Stephens, Ph.D. Academic Editor PLOS ONE 14 Jul 2022 PONE-D-21-08873R3 Leading Causes of Death in Asian Indians in the United States (2005 - 2017) Dear Dr. Fernandez Perez: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Patrick R Stephens Academic Editor PLOS ONE
Table 1

Characteristics of Asian Indian and non-Hispanic White decedents in the United States, 2005–2017.

Population Statistics Asian Indian Asian Indian US-Born Asian Indian Foreign-born Non-Hispanic White
All Male Female Male Female Male Female All Male Female
Population Size2,493,5721,292,7681,200,804339,501322,225953,267878,579229,456,801113,221,153116,235,648
% of Total Demographic Population100%52%48%14%13%38%35%100%49%51%
Age demographics (%)
0–1926.0%26.0%26.0%74.0%75.0%9.0%8.0%26.0%27.0%25.0%
20–3939.0%39.0%40.0%22.0%20.0%46.0%47.0%25.0%26.0%25.0%
40–5923.0%23.0%22.0%3.1%4.2%30.0%29.0%28.0%29.0%28.0%
60+12.0%12.0%12.0%0.9%0.8%16.0%16.0%20.0%18.0%22.0%
Mortality Statistics Asian Indian Asian Indian US-Born Asian Indian Foreign-born Non-Hispanic White
AllMaleFemaleMaleFemaleMaleFemaleAllMaleFemale
Total # Deaths73,47043,33330,1373,2712,09940,06228,0381,971,663972,795998,868
% of Total Deaths100%59%41%4.0%3.0%55%38%100%49%51%
Age demographics (%)
0–192.0%2.1%1.8%30.0%35.0%0.6%0.4%0.6%0.7%0.4%
20–396.6%7.8%4.7%40.0%25.0%6.1%3.8%3.5%4.7%2.3%
40–5917.0%20.0%14.0%11.0%12.0%20.0%14.0%12.0%14.0%10.0%
60+81.0%78.0%85.0%21.0%30.0%81.0%87.0%89.0%87.0%92.0%
Table 2

Age-standardized mortality rates from leading causes of death in Asian Indians in the United States by sex and nativity, 2005–2017.

AMR 2005–2017Overall Asian IndianAsian Indian FemaleAsian Indian MaleOverall Non-Hispanic White
Cause of Death AllForeign-bornUS-bornAll femaleForeign-bornUS-bornAll maleForeign-bornUS-bornAllFemaleMale
Heart disease75.6 (74.5–76.7)76.9 (75.8–78.1)35.2 (30.9–40.1)55.6 (54.3–57)57.0 (55.6–58.6)20.8 (16.3–26.3)94.5 (92.8–96.3)95.8 (94–97.6)50.2 (42.8–58.7)162.9 (162.8–163)129.0 (128.9–129.2)204.0 (203.8–204.2)
Malignant neoplasms58.6 (57.7–59.6)59.3 (58.3–60.4)37.2 (32.6–42.3)56.2 (54.8–57.6)57.0 (55.5–58.5)34.9 (28.8–42)61.4 (60.1–62.9)62.0 (60.6–63.5)39.8 (33–47.8)167.9 (167.7–168)143.5 (143.3–143.6)200.9 (200.7–201.2)
Accidents (unintentional injuries)19.6 (19.1–20.2)20.2 (19.5–20.9)17.8 (15.7–20.4)11.1 (10.6–11.7)11.4 (10.7–12.2)7.8 (5.8–10.5)27.5 (26.7–28.4)28.3 (27.2–29.4)27.6 (23.8–32.2)59.4 (59.3–59.5)37.5 (37.4–37.6)82.5 (82.4–82.7)
Diabetes mellitus17.5 (17–18.1)17.7 (17.2–18.3)9.7 (7.4–12.5)14.3 (13.6–15)14.5 (13.8–15.4)6.4 (4–9.8)20.7 (19.9–21.5)20.8 (20–21.7)13.1 (9.3–18.1)27.9 (27.8–27.9)23.6 (23.6–23.7)32.9 (32.9–33)
Cerebrovascular diseases16.6 (16.1–17.1)16.9 (16.4–17.5)7.3 (5.4–9.6)16.2 (15.5–16.9)16.5 (15.7–17.3)7.3 (4.8–10.9)17.1 (16.4–17.8)17.4 (16.6–18.2)7.1 (4.6–10.7)36.3 (36.3–36.4)36.5 (36.4–36.5)35.4 (35.3–35.5)
Influenza & pneumonia16.0 (15.5–16.5)16.2 (15.7–16.8)6.3 (4.6–8.6)13.9 (13.3–14.6)14.1 (13.4–14.9)5.6 (3.4–8.9)18.1 (17.4–18.9)18.5 (17.7–19.4)7.0 (4.5–10.6)30.3 (30.3–30.4)25.9 (25.9–26)36.5 (36.4–36.6)
Alzheimer’s disease11.6 (11.2–12)11.7 (11.3–12.2)6.5 (4.9–8.6)10.3 (9.7–10.9)10.3 (9.7–11.1)7.5 (44327)13.0 (12.3–13.6)13.2 (12.5–14)5.5 (3.6–8.3)44.9 (44.8–45)44.7 (44.6–44.7)44.4 (44.3–44.5)
Chronic liver diseases10.4 (10–10.8)10.4 (10–10.8)6.1 (4.5–8.2)7.3 (6.8–7.8)7.3 (6.8–7.9)4.9 (3.1–7.8)13.2 (12.6–13.8)13.2 (12.6–14)7.3 (4.8–10.9)27.5 (27.4–27.5)23.3 (23.2–23.3)31.9 (31.8–32)
Nephritis & nephrosis7.2 (6.9–7.6)7.3 (7–7.8)4.3 (2.8–6.4)6.6 (6.1–7.1)6.7 (6.2–7.3)4.2 (2.3–7.2)7.9 (7.4–8.4)8.1 (7.6–8.7)4.6 (2.4–8)16.9 (16.9–17)15.2 (15.1–15.2)19.4 (19.4–19.5)
Chronic lower respiratory diseases6.1 (5.7–6.4)6.1 (5.8–6.4)4.6 (3.1–6.6)5.0 (4.7–5.5)5.1 (4.7–5.7)3.5 (1.8–6.3)7.1 (6.6–7.6)7.1 (6.6–7.7)5.8 (3.5–9.4)44.4 (44.4–44.5)41.2 (41.1–41.3)49.2 (49.1–49.4)
  26 in total

1.  Call to action: cardiovascular disease in Asian Americans: a science advisory from the American Heart Association.

Authors:  Latha P Palaniappan; Maria Rosario G Araneta; Themistocles L Assimes; Elizabeth L Barrett-Connor; Mercedes R Carnethon; Michael H Criqui; Gordon L Fung; K M Venkat Narayan; Hamang Patel; Ruth E Taylor-Piliae; Peter W F Wilson; Nathan D Wong
Journal:  Circulation       Date:  2010-08-23       Impact factor: 29.690

Review 2.  Lifestyle Choices Fuel Epidemics of Diabetes and Cardiovascular Disease Among Asian Indians.

Authors:  Evan L O'Keefe; James J DiNicolantonio; Harshal Patil; John H Helzberg; Carl J Lavie
Journal:  Prog Cardiovasc Dis       Date:  2015-08-13       Impact factor: 8.194

3.  Cardiovascular risk factors among Asian Americans: results from a National Health Survey.

Authors:  Jiali Ye; George Rust; Peter Baltrus; Elvan Daniels
Journal:  Ann Epidemiol       Date:  2009-06-26       Impact factor: 3.797

4.  Responding to the threat of chronic diseases in India.

Authors:  K Srinath Reddy; Bela Shah; Cherian Varghese; Anbumani Ramadoss
Journal:  Lancet       Date:  2005-11-12       Impact factor: 79.321

Review 5.  The Healthy Immigrant Effect and Aging in the United States and Other Western Countries.

Authors:  Kyriakos S Markides; Sunshine Rote
Journal:  Gerontologist       Date:  2019-03-14

6.  Cardiovascular health metrics among South Asian adults in the United States: Prevalence and associations with subclinical atherosclerosis.

Authors:  Sameera A Talegawkar; Yichen Jin; Namratha R Kandula; Alka M Kanaya
Journal:  Prev Med       Date:  2016-12-20       Impact factor: 4.018

7.  Death by Carbs: Added Sugars and Refined Carbohydrates Cause Diabetes and Cardiovascular Disease in Asian Indians.

Authors:  Bhaskar Bhardwaj; Evan L O'Keefe; James H O'Keefe
Journal:  Mo Med       Date:  2016 Sep-Oct

Review 8.  Cardiovascular Disease in American Indian and Alaska Native Youth: Unique Risk Factors and Areas of Scholarly Need.

Authors:  Jason F Deen; Alexandra K Adams; Amanda Fretts; Stacey Jolly; Ana Navas-Acien; Richard B Devereux; Dedra Buchwald; Barbara V Howard
Journal:  J Am Heart Assoc       Date:  2017-10-24       Impact factor: 5.501

9.  The changing patterns of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990-2016.

Authors: 
Journal:  Lancet Glob Health       Date:  2018-09-12       Impact factor: 26.763

10.  Years of Potential Life Lost Because of Cardiovascular Disease in Asian-American Subgroups, 2003-2012.

Authors:  Divya G Iyer; Nilay S Shah; Katherine G Hastings; Jiaqi Hu; Fatima Rodriguez; Derek B Boothroyd; Aruna V Krishnan; Titilola Falasinnu; Latha Palaniappan
Journal:  J Am Heart Assoc       Date:  2019-04-02       Impact factor: 6.106

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