OBJECTIVE: Asian Indians had one of the highest population growth rates in California between 1990 and 2000. However, few studies have examined common causes of death in this ethnic group in California. We examined leading causes of mortality in Asian Indians in California and analyzed differences across age and sex. DESIGN/ SETTING: Linear interpolation of 1990 and 2000 US Census data were used to calculate population sizes. California mortality data were examined to determine total number of Asian Indian deaths, and analyzed to determine causes of death across age (25-44, 45-64, > or = 65) and sex subgroups. MAIN OUTCOME MEASURES: International Classification of Diseases, 9th and 10th revision codes were used to aggregate causes of mortality into disease categories of cardiovascular diseases, cancers, diabetes, traumas/accidents/suicides, infections, and other conditions. RESULTS: Cardiovascular diseases were the leading cause of death for both sexes. Cancers were the second leading cause of death for both sexes. Diabetes and traumas/accidents/suicides were the next most common cause of mortality for females and males respectively. However, differences were found between age groupings across the sexes. CONCLUSION: This analysis confirms leading causes of death found in other densely-populated Asian Indian regions. It also sheds light on emerging conditions in this population in California. Although contributors to causes of mortality are discussed, more research is needed to understand the unique biological and socio-cultural determinants of disease in Asian Indians. Translation of this research into intervention strategies will reduce the burden of these diseases in this rapidly-growing population in California and the United States.
OBJECTIVE: Asian Indians had one of the highest population growth rates in California between 1990 and 2000. However, few studies have examined common causes of death in this ethnic group in California. We examined leading causes of mortality in Asian Indians in California and analyzed differences across age and sex. DESIGN/ SETTING: Linear interpolation of 1990 and 2000 US Census data were used to calculate population sizes. California mortality data were examined to determine total number of Asian Indian deaths, and analyzed to determine causes of death across age (25-44, 45-64, > or = 65) and sex subgroups. MAIN OUTCOME MEASURES: International Classification of Diseases, 9th and 10th revision codes were used to aggregate causes of mortality into disease categories of cardiovascular diseases, cancers, diabetes, traumas/accidents/suicides, infections, and other conditions. RESULTS:Cardiovascular diseases were the leading cause of death for both sexes. Cancers were the second leading cause of death for both sexes. Diabetes and traumas/accidents/suicides were the next most common cause of mortality for females and males respectively. However, differences were found between age groupings across the sexes. CONCLUSION: This analysis confirms leading causes of death found in other densely-populated Asian Indian regions. It also sheds light on emerging conditions in this population in California. Although contributors to causes of mortality are discussed, more research is needed to understand the unique biological and socio-cultural determinants of disease in Asian Indians. Translation of this research into intervention strategies will reduce the burden of these diseases in this rapidly-growing population in California and the United States.
Authors: Nazleen Bharmal; Robert M Kaplan; Martin F Shapiro; Carol M Mangione; Marjorie Kagawa-Singer; Mitchell D Wong; William J McCarthy Journal: J Immigr Minor Health Date: 2015-06
Authors: Beinan Zhao; Powell O Jose; Jia Pu; Sukyung Chung; Irma B Ancheta; Stephen P Fortmann; Latha P Palaniappan Journal: Am J Hypertens Date: 2014-10-28 Impact factor: 2.689
Authors: Katherine G Hastings; Powell O Jose; Kristopher I Kapphahn; Ariel T H Frank; Benjamin A Goldstein; Caroline A Thompson; Karen Eggleston; Mark R Cullen; Latha P Palaniappan Journal: PLoS One Date: 2015-04-27 Impact factor: 3.240