Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States

Zhang, Yifan; Misra, Ranjita; Sambamoorthi, Usha

doi:10.3390/ijerph17093336

Cited by 21 publications

(20 citation statements)

References 66 publications

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“…Our results demonstrate that Asian/Pacific Islander groups did not have any distinct multimorbidity combinations among the middle-aged and few among the elderly. This is consistent with other studies that find that combined Asian groups are typically healthier than non-Whites 57 .…”

Section: Discussionsupporting

confidence: 93%

Multimorbidity patterns across race/ethnicity as stratified by age and obesity

Alshakhs

Jackson

Ikponmwosa

et al. 2022

Sci Rep

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The objective of our study is to assess differences in prevalence of multimorbidity by race/ethnicity. We applied the FP-growth algorithm on middle-aged and elderly cohorts stratified by race/ethnicity, age, and obesity level. We used 2016–2017 data from the Cerner HealthFacts electronic health record data warehouse. We identified disease combinations that are shared by all races/ethnicities, those shared by some, and those that are unique to one group for each age/obesity level. Our findings demonstrate that even after stratifying by age and obesity, there are differences in multimorbidity prevalence across races/ethnicities. There are multimorbidity combinations distinct to some racial groups—many of which are understudied. Some multimorbidities are shared by some but not all races/ethnicities. African Americans presented with the most distinct multimorbidities at an earlier age. The identification of prevalent multimorbidity combinations amongst subpopulations provides information specific to their unique clinical needs.

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Section: Discussionsupporting

confidence: 93%

Multimorbidity patterns across race/ethnicity as stratified by age and obesity

Alshakhs

Jackson

Ikponmwosa

et al. 2022

Sci Rep

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“…A more recent study using NHIS data did not find an increased prevalence of multi-morbidity in Asian Indian and Chinese subjects compared to NHW individuals. However, the study did not assess individual risk factors or ASCVD prevalence [14] .…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity in cardio-metabolic risk factors and atherosclerotic cardiovascular disease among Asian groups in the United States

Satish¹,

Sadaf²,

Grandhi³

et al. 2021

American Journal of Preventive Cardiology

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Objective The Asian American population in the U.S. comprises various, ethnically diverse subgroups. Traditionally, this population has been studied as a single, aggregated group, potentially masking differences in risk among subgroups. Analyses using disaggregated data can help better characterize the health needs of different Asian subpopulations and inform targeted, effective public health interventions. We assessed the prevalence of cardiovascular disease (CVD) risk factors and atherosclerotic CVD (ASCVD) and their associations with socioeconomic factors among Chinese, Asian Indian, Filipino and Other Asian subjects, compared with non-Hispanic White (NHW) subjects in the U.S. Methods : Cross-sectional study using data from 298,286 adults from the National Health Interview Survey (NHIS) from 2007 to 2018. We utilized chi-squared tests to compare characteristics across subgroups. Weighted proportions and unadjusted and adjusted logistic regression models were utilized to examine the associations between Asian subgroups, self-reported CVD risk factors and self-reported ASCVD, as well as between socioeconomic factors within each Asian subgroup. Results : Asian Indian subjects had the highest prevalence of diabetes (12.5%), while Filipino subjects had the highest prevalence of hyperlipidemia (27.7%), hypertension (29.8%) and obesity (19.8%). Despite this, the prevalence of self-reported ASCVD was lower in all Asian groups compared with NHWs. Chinese subjects had the lowest odds of having each of the CVD risk factors assessed. Conclusion : We found considerable heterogeneity in the distribution of risk factors as well as ASCVD among Asian subgroups in the US. Compared with health system or community-based reports, the prevalence of risk factors and ASCVD may be underestimated in some Asian NHIS subgroups. There is an urgent need for efforts to improve recruitment of Asian participants of heterogeneous socioeconomic backgrounds in national surveys, as well as to perform a thorough assessment of risk factors and disease in this population, not relying solely on self-report.

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“…Although unclear, such a lower chronic conditions burden may be due to generally more favorable socioeconomic conditions among Asian individuals, including higher educational level, that may facilitate resources to maintain healthy habits and a healthy life. [27] Nonetheless, this finding may also represent an underestimation of the true multimorbidity prevalence among Asian people due to barriers to health care access and utilization that may prevent the detection of chronic conditions. [28] Studies designed to better understand this pattern are needed.…”

Section: Discussionmentioning

confidence: 99%

Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999–2018

Caraballo

Mahajan

Massey

et al. 2021

Preprint

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Background: Multimorbidity, an important health indicator, is a contributor to and result of health inequity. We sought to determine if gaps in multimorbidity by race and ethnicity are decreasing over time. Methods: Serial cross-sectional analysis of the National Health Interview Survey, 1999 to 2018. The study included individuals older than 18 years old, categorized by self-reported race, ethnicity, age, and income. The main outcomes were trends in the prevalence of multimorbidity, defined as 2 or more concurrent chronic conditions. Results: The study included 596,355 adults (4.7% Asian, 11.8% Black, 13.8% Latino/Hispanic, and 69.7% White). In 1999, the estimated prevalence of multimorbidity was 5.9% among Asian, 17.4% among Black, 10.7% among Latino/Hispanic, and 13.5% among White individuals. Prevalence increased for all racial/ethnic groups during the study period (P<0.005 for each), with no significant change in the differences between them. In 2018, when compared with White people, multimorbidity was more prevalent among Black individuals (+2.5 percent points [95% CI: +0.5, +4.6]) and less prevalent among Asian and Latino individuals (-6.6 points [-8.8, -4.4] and -2.1 points [-4.0, -0.2], respectively). The estimated prevalence of reporting at least 1, 2, 3, or 4 conditions all increased with age across all groups, with Black individuals having the greatest prevalence in each age category. Among those older than 35 years, Black people had multimorbidity rates equivalent to those of Latino/Hispanic and White people aged 5 years older, and Asian people aged 10 years older. Conclusions: Over 2 decades, there was no significant progress in eliminating disparities in multimorbidity between Black and White people.

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Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States

Cited by 21 publications

References 66 publications

Multimorbidity patterns across race/ethnicity as stratified by age and obesity

Multimorbidity patterns across race/ethnicity as stratified by age and obesity

Heterogeneity in cardio-metabolic risk factors and atherosclerotic cardiovascular disease among Asian groups in the United States

Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999–2018

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