Nasopharyngeal cancer mortality in disaggregated Asian and non-Asian Americans.

BACKGROUND: Nasopharyngeal carcinoma (NPC) mortality varies based on multiple risk factors. While NPC mortality is higher in Asia, little is known about Asian subgroups in the United States (US). METHODS: Using the 2005-2020 National Vital Statistics System, we examined NPC mortality by age, race (non-Hispanic black, Hispanic white (HW), non-Hispanic white (NHW), Chinese, Filipino, Asian Indian, Japanese, Korean, Vietnamese), sex, and nativity (Untied States or foreign-born). RESULTS: Upon disaggregation, Chinese (1.96 [CI: 1.78-2.16]), Filipino (0.68 [0.68-1.11]), and Vietnamese Americans (0.68 [0.52-1.10]) had the top age-adjusted mortality rates (AAMR per 100 000 person-years). Foreign-born Chinese, Vietnamese, Filipinos, Asian Indians, and NHW had higher AAMRs compared to US-born persons. All male groups had higher AAMR compared to females. Stratifying for race, nativity, and sex, foreign-born Chinese males (4.09 [3.79-4.40]) had the highest AAMR. CONCLUSION: These findings demonstrate the importance of disaggregating NPC mortality data by Asian subgroups, providing valuable insights for targeted public health interventions in the United States.

Leading causes of death in Vietnamese Americans: An ecological study based on national death records from 2005-2020.

BACKGROUND: Disaggregated data is a cornerstone of precision health. Vietnamese Americans (VietAms) are the fourth-largest Asian subgroup in the United States (US), and demonstrate a unique burden of disease and mortality. However, most prior studies have aggregated VietAms under the broader Asian American category for analytic purposes. This study examined the leading causes of death among VietAms compared to aggregated Asian Americans and non-Hispanic Whites (NHWs) during the period 2005-2020. METHODS: Decedent data, including underlying cause of death, were obtained from the National Center for Health Statistics national mortality file from 2005 to 2020. Population denominator estimates were obtained from the American Community Survey one-year population estimates. Outcome measures included proportional mortality, age-adjusted mortality rates per 100,000 (AMR), and annual percent change (APC) in mortality over time. Data were stratified by sex and nativity status. Due to large differences in age structure, we report native- and foreign-born VietAms separately. FINDINGS: We identified 74,524 VietAm decedents over the study period (71,305 foreign-born, 3,219 native-born). Among foreign-born VietAms, the three leading causes of death were cancer (26.6%), heart disease (18.0%), and cerebrovascular disease (9.0%). Among native-born VietAms the three leading causes were accidents (19.0%), self-harm (12.0%), and cancer (10.4%). For every leading cause of death, VietAms exhibited lower mortality compared to both aggregated Asians and NHWs. Over the course of the study period, VietAms witnessed an increase in mortality in every leading cause. This effect was mostly driven by foreign-born, male VietAms. CONCLUSIONS AND RELEVANCE: While VietAms have lower overall mortality from leading causes of death compared to aggregated Asians and NHWs, these advantages have eroded markedly between 2005 and 2020. These data emphasize the importance of racial disaggregation in the reporting of public health measures.

Social Determinants of Cardiovascular Risk Factors Among Asian American Subgroups.

BACKGROUND: Social determinants of health (SDOH) play a significant role in the development of cardiovascular risk factors. We investigated SDOH associations with cardiovascular risk factors among Asian American subgroups. METHODS AND RESULTS: We utilized the National Health Interview Survey, a nationally representative survey of US adults, years 2013 to 2018. SDOH variables were categorized into economic stability, neighborhood and social cohesion, food security, education, and health care utilization. SDOH score was created by categorizing 27 SDOH variables as 0 (favorable) or 1 (unfavorable). Self-reported cardiovascular risk factors included diabetes, high cholesterol, high blood pressure, obesity, insufficient physical activity, suboptimal sleep, and nicotine exposure. Among 6395 Asian adults aged ≥18 years, 22.1% self-identified as Filipino, 21.6% as Asian Indian, 21.0% as Chinese, and 35.3% as other Asian. From multivariable-adjusted logistic regression models, each SD increment of SDOH score was associated with higher odds of diabetes among Chinese (odds ratio [OR], 1.45; 95% CI, 1.04-2.03) and Filipino (OR, 1.24; 95% CI, 1.02-1.51) adults; high blood pressure among Filipino adults (OR, 1.28; 95% CI, 1.03-1.60); insufficient physical activity among Asian Indian (OR, 1.42; 95% CI, 1.22-1.65), Chinese (OR, 1.58; 95% CI, 1.33-1.88), and Filipino (OR, 1.24; 95% CI, 1.06-1.46) adults; suboptimal sleep among Asian Indian adults (OR, 1.20; 95% CI, 1.01-1.42); and nicotine exposure among Chinese (OR, 1.56; 95% CI, 1.15-2.11) and Filipino (OR, 1.50; 95% CI, 1.14-1.97) adults. CONCLUSIONS: Unfavorable SDOH are associated with higher odds of cardiovascular risk factors in Asian American subgroups. Culturally specific interventions addressing SDOH may help improve cardiovascular health among Asian Americans.

Asthma heterogeneity among Asian American children: The California Health Interview Survey.

BACKGROUND: The Asian American (AsA) population is heterogenous and rapidly growing; however, little is known regarding childhood asthma burden among AsA ethnic groups. The relation between obesity and asthma in AsA ethnic groups also remains unclear. OBJECTIVE: To evaluate asthma prevalence and the relation of obesity to asthma risk among children in 7 AsA ethnic groups. METHODS: We analyzed data from the California Health Interview Survey from 2011 to 2020. AsA ethnicities were self-reported. Body mass index z-scores, calculated from self-reported height/weight, were used to categorize children by obesity status, based on body mass index-for-age growth charts. Prevalence of self-reported lifetime doctor-diagnosed asthma and asthma attack in the last 12 months was calculated. We performed multivariable logistic regressions adjusting for age and sex. RESULTS: Of 34,146 survey respondents, 12.2% non-Hispanic White and 12.5% AsA children reported lifetime asthma. Among AsA ethnic groups, however, lifetime asthma ranged from 5.1% (Korean American) to 21.5% (Filipino American). Non-Hispanic White children and AsA children had a similar lifetime asthma prevalence (adjusted odds ratio [aOR], 1.05; 95% CI, 0.71-1.55; P = .81), but prevalence was lower in Korean American children (aOR, 0.37; 95% CI, 0.19-0.73; P = .004) and higher in Filipino American children (aOR, 1.97; 95% CI, 1.22-3.17; P = .006). The lifetime asthma prevalence of different AsA ethnic groups persisted even when stratified by obesity status. CONCLUSION: Childhood lifetime asthma prevalence varied among AsA ethnic groups, with lowest prevalence in Korean American children and highest prevalence in Filipino American. Further characterization of asthma burden among AsA ethnic groups may help guide asthma screening and prevention measures and offer new insights into asthma pathogenesis.

Associations Between Ultra-processed Food Consumption and Cardiometabolic Health Among Older US Adults: Comparing Older Asian Americans to Older Adults From Other Major Race-Ethnic Groups.

Using data from the National Health and Nutrition Examination Survey (2001-2018; N = 19,602), this study examined whether ultra-processed food (UPF) consumption is associated with cardiometabolic health (obesity, hypertension, high cholesterol, and diabetes), among White, Black, Hispanic, and Asian Americans (AA) US adults 50 or older. Diet was assessed using 24 hour dietary recall. NOVA dietary classification system was used to calculate the percentage of caloric intake derived from UPFs. Cardiometabolic information was assessed through physical examination, blood tests, and self-reported medication information. A median of 54% (IQR: 40%, 68%) of caloric intake was attributed to UPFs and was lowest for AAs (34%, IQR: 20%, 49%) and highest for White adults (56%; IQR: 42, 69%). In multivariable adjusted models, UPF consumption was associated with greater odds of obesity, high cholesterol, and diabetes. UPF consumption is associated with poor cardiometabolic health among all US older adults. For AAs, UPFs may be particularly obesogenic.

Catalyzing System Change: 100 Quality Improvement Projects in 1000 Days.

BACKGROUND: Health system change requires quality improvement (QI) infrastructure that supports frontline staff implementing sustainable innovations. We created an 8-week rapid-cycle QI training program, Stanford Primary Care-Project Engagement Platform (PC-PEP), open to patient-facing primary care clinicians and staff. OBJECTIVE: Examine the feasibility and outcomes of a scalable QI program for busy practicing providers and staff in an academic medical center. DESIGN: Program evaluation. PARTICIPANTS: A total of 172 PCPH team members: providers (n = 55), staff (n = 99), and medical learners (n = 18) in the Stanford Division of Primary Care and Population Health (PCPH) clinics, 2018-2021. MAIN MEASURES: We categorized projects by the Institute for Healthcare Improvement's (IHI) Quintuple Aim (QA): better health, better patient experience, lower cost of care, better care team experience, and improved equity/inclusion. We assessed project progress with a modified version of The Ottawa Hospital Innovation Framework: step 1 (identified root causes), step 2 (designed/tested interventions), step 3 (assessed project outcome), step 4 (met project goal with target group), step 5A (intervention(s) spread within clinic), step 5B (intervention(s) spread to different setting). Participants rated post-participation QI self-efficacy. KEY RESULTS: Within 1000 days, 172 unique participants completed 104 PC-PEP projects. Most projects aimed to improve patient health (55%) or care team experience (23%). Among projects, 9% reached step 1, 8% step 2, 16% step 3, 26% step 4, 21% step 5A, and 20% step 5B. Learner involvement increased likelihood of scholarly products (47% vs 10%). Forty-six of 47 (98%) survey respondents reported improved QI self-efficacy. Medical assistants, more so than physicians, reported feeling acknowledged by the health system for their QI efforts (100% vs 61%). CONCLUSIONS: With appropriate QI infrastructure, scalable QI training models like Stanford PC-PEP can empower frontline workers to create meaningful changes across the IHI QA.

Disparities and Trends in Routine Adult Vaccination Rates Among Disaggregated Asian American Subgroups, National Health Interview Survey 2006-2018.

Introduction: Vaccination rates may be improved through culturally tailored messages, but little is known about them among disaggregated Asian American subgroups. We assessed the vaccination rates for key vaccines among these subgroups. Methods: Using the National Health Interview Survey, we analyzed recent vaccination rates (2015-2018, n=188,250) and trends (2006-2018) among Asians (Chinese [n=3,165], Asian Indian [n=3,525], Filipino [n=3,656], other Asian [n=5,819]) and non-Hispanic White adults (n=172,085) for 6 vaccines (the human papillomavirus, hepatitis B, pneumococcal, influenza, tetanus-diphtheria [tetanus], and shingles vaccines). We controlled demographic, socioeconomic, and health-related variables in multivariable logistic regression and predicted marginal modeling analyses. We also computed vaccination rates among Asian American subgroups on the 2015-2018 National Health Interview Survey data stratified by foreign-born and U.S.-born status. We used Joinpoint regression to analyze trends in vaccination rates. All analyses were conducted in 2021 and 2022. Results: Among Asians, shingles (29.2%; 95% CI=26.6, 32.0), tetanus (53.7%; 95% CI=51.8, 55.6), and pneumococcal (53.8%; 95% CI=50.1, 57.4) vaccination rates were lower than among non-Hispanic Whites. Influenza (47.9%; 95% CI=46.2, 49.6) and hepatitis B (40.5%; 95% CI=39.0, 42.7) vaccination rates were similar or higher than among non-Hispanic Whites (48.4%; 95% CI=47.9, 48.9 and 30.7%; 95% CI=30.1, 31.3, respectively). Among Asians, we found substantial variations in vaccination rates and trends. For example, Asian Indian women had lower human papillomavirus vaccination rates (12.9%; 95% CI=9.1, 18.0) than all other Asian subgroups (Chinese: 37.9%; 95% CI=31.1, 45.2; Filipinos: 38.7%; 95% CI=29.9, 48.3; other Asians: 30.4%; 95% CI=24.8, 36.7) and non-Hispanic Whites (36.1%; 95% CI=34.8, 37.5). Being male, having lower educational attainment and income, having no health insurance or covered by public health insurance only, and lower frequency of doctor visits were generally associated with lower vaccine uptakes. Foreign-born Asian aggregate had lower vaccination rates than U.S.-born Asian aggregate for all vaccines except for influenza. We also found subgroup-level differences in vaccination rates between foreign-born and U.S.-born Asians. We found that (1) foreign-born Chinese, Asian Indians, and other Asians had lower human papillomavirus and hepatitis B vaccination rates; (2) foreign-born Chinese and Filipinos had lower pneumococcal vaccination rates; (3) foreign-born Chinese and Asian Indians had lower influenza vaccination rates; and (4) all foreign-born Asian subgroups had lower tetanus vaccination rates. Conclusions: Vaccination rates and trends differed among Asian American subgroups. Culturally tailored messaging and interventions may improve vaccine uptakes.

Training future clinicians in telehealth competencies: outcomes of a telehealth curriculum and teleOSCEs at an academic medical center.

Background: This study describes the program and learning outcomes of a telehealth skills curriculum based on the Association of American Medical Colleges (AAMC) telehealth competencies for clerkship-level medical students. Methods: A total of 133 third- and fourth-year medical students in a required family medicine clerkship at Stanford University School of Medicine participated in a telehealth curriculum, including a telehealth workshop, site-specific telehealth clinical encounters, and telemedicine objective structured clinical examinations (teleOSCEs) between July 2020 and August 2021. Their workshop communication and physical examination competencies were assessed in two teleOSCEs utilizing a novel telehealth assessment tool. Students' attitudes, skills, and self-efficacy were assessed through voluntary pre-clerkship, post-workshop, and post-OSCE surveys. Discussion: Most learners reported low confidence in their telehealth physical examinations [n = 79, mean = 1.6 (scale 0-5, 5 = very confident, SD = 1.0)], which improved post-workshop [n = 69, 3.3 (0.9), p < 0.001]; almost all (97%, 70/72) felt the workshop prepared them to see patients in the clinic. In formative OSCEs, learners demonstrated appropriate "webside manner" (communication scores 94-99%, four items) but did not confirm confidentiality (21%) or review limitations of the visit (35%). In a low back pain OSCE, most learners assessed pain location (90%) and range of motion (87%); nearly half (48%) omitted strength testing. Conclusion: Our telehealth curriculum demonstrated that telehealth competencies can be taught and assessed in medical student education. Improvement in self-efficacy scores suggests that an 80-min workshop can prepare students to see patients in the clinical setting. Assessment of OSCE data informs opportunities for growth for further development in the curriculum, including addressing visit limitations and confidentiality in telehealth visits.

Factors associated with HIV Testing within the National Health Interview Survey (2006-2018).

The Centers for Disease Control and Prevention recommends that individuals aged 13-64 test for HIV at least once during their lifetime. However, screening has been disproportionate among racial/ethnic populations. Using the National Health Interview Survey data (2006-2018), we examined HIV screening prevalence within racial/ethnic groups in the United States (US), and factors associated with testing among 301,191 individuals. This consisted of 195,696 White, 42,409 Black, 47,705 Hispanic and 15,381 Asian individuals. Logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI) to estimate the association between ever testing for HIV and demographic, socioeconomic and health-related factors. Approximately 36% of White, 61% of Black, 47% of Hispanic and 36% of Asian individuals reported ever testing for HIV. Hispanic (OR = 1.28, 95% CI [1.25-1.32]) and Black individuals (OR = 2.44, 95% CI [2.38-2.50]) had higher odds of HIV testing, whereas Asian individuals (OR = 0.74, 95% CI [0.71-0.77]) had lower odds of HIV testing compared to White individuals. Individuals who identified as males, married, between the ages of 18-26 years or greater than or equal to 50 years were less likely to ever test for HIV compared to their counterparts. Similarly, those with lower education, lower income, better self-reported health, no health professional visits or living in the midwestern US were less likely to ever test for HIV compared to their counterparts (OR range: 0.14-0.92). Understanding the factors associated with HIV testing opens opportunities to increase testing rates for all and reduce health disparities in HIV detection.

Toward precision sleep medicine: variations in sleep outcomes among disaggregated Asian Americans in the National Health Interview Survey (2006-2018).

STUDY OBJECTIVES: Asian Americans report higher rates of insufficient sleep than non-Hispanic Whites (NHWs). It is unclear how sleep outcomes differ among disaggregated Asian subgroups. METHODS: The National Health Interview Survey (2006-2018) was used to analyze self-reported sleep duration and quality measures for Asian American subgroups (Chinese [n = 11,056], Asian Indian [n = 11,249], Filipino [n = 13,211], and other Asians [n = 21,767]). Outcomes included hours of sleep per day, the number of days reporting trouble falling asleep, staying asleep, waking up rested, and taking sleep medication in the past week. Subsetted multivariate logistic regression was used to assess factors impacting sleep outcomes by ethnicity. RESULTS: 29.2% of NHWs, 26.4% of Chinese, 24.5% of Asian Indians, and 38.4% of Filipinos reported insufficient sleep duration. Filipinos were less likely to report sufficient sleep duration (odds ratio 0.55, [confidence interval 95% 0.50-0.59]) and more likely to report trouble falling asleep (1.16 [1.01-1.33]) than NHWs. Chinese and Asian Indians had less trouble staying asleep (0.67 [0.58-0.77], 0.51 [0.44-0.59]) and falling asleep (0.77 [0.66-0.89], 0.72, [0.62-0.82]) than NHWs, and Asian Indians were more likely to wake feeling well rested (1.66 [1.48-1.87]). All Asian subgroups were less likely to report using sleep medications than NHWs. Foreign-born status had a negative association with sufficient sleep duration in Filipinos but a positive association in Asian Indians and Chinese. CONCLUSIONS: Filipinos report the highest burden of poor sleep outcomes, and Asian Indians report significantly better sleep outcomes. These findings highlight the importance of disaggregating Asian ethnic subgroups to address their health needs. CITATION: Wang RZ, Jamal A, Wang Z, et al. Toward precision sleep medicine: variations in sleep outcomes among disaggregated Asian Americans in the National Health Interview Survey (2006-2018). J Clin Sleep Med. 2023;19(7):1259-1270.

Association of Acculturation with Cardiovascular Risk Factors in Asian-American Subgroups.

Objective: This cross-sectional study aims to better understand the heterogeneous associations of acculturation level on CV risk factors among disaggregated Asian subgroups. We hypothesize that the association between acculturation level and CV risk factors will differ significantly by Asian subgroup. Methods: We used the National Health Interview Survey (NHIS), a nationally representative US survey, years 2014-18. Acculturation was defined using: (a) years in the US, (b) US citizenship status, and (c) level of English proficiency. We created an acculturation index, categorized into low vs. high (scores of 0-3 and 4, respectively). Self-reported CV risk factors included diabetes, high cholesterol, hypertension, obesity, tobacco use, and sufficient physical activity. Rao-Scott Chi Square was used to compare age-standardized, weighted prevalence of CV risk factors between Asian subgroups. We used logistic regression analysis to assess associations between acculturation and CV risk factors, stratified by Asian subgroup. Results: The study sample consisted of 6,051 adults ≥ 18 years of age (53.9% female; mean age 46.6 [SE 0.33]). The distribution by race/ethnicity was Asian Indian 26.9%, Chinese 22.8%, Filipino 18.1%, and other Asian 32.3%. The association between acculturation and CV risk factors differed by Asian subgroups. From multivariable adjusted models, high vs. low acculturation was associated with: high cholesterol amongst Asian Indian (OR=1.57, 95% CI: 1.11, 2.37) and other Asian (OR=1.48, 95% CI: 1.10, 2.01) adults, obesity amongst Filipino adults (OR= 1.62, 95% CI: 1.07, 2.45), and sufficient physical activity amongst Chinese (OR= 1.54, 95% CI: 1.09, 2.19) and Filipino adults (OR=1.58, 95% CI: 1.10, 2.27). Conclusion: This study demonstrates that acculturation is heterogeneously associated with higher prevalence of CV risk factors among Asian subgroups. More studies are needed to better understand these differences that can help to inform targeted, culturally specific interventions.

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

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.

Cardiovascular and Cerebrovascular Disease Mortality in Asian American Subgroups.

BACKGROUND: Asian American individuals comprise the fastest-growing race and ethnic group in the United States. Certain subgroups may be at disproportionately high cardiovascular risk. This analysis aimed to identify cardiovascular and cerebrovascular disease mortality trends in Asian American subgroups. METHODS: Age-standardized mortality rates (ASMR), average annual percent change of ASMR calculated by regression, and proportional mortality ratios of ischemic heart disease, heart failure, and cerebrovascular disease were calculated by sex in non-Hispanic Asian American subgroups (Chinese, Filipino, Asian Indian, Japanese, Korean, and Vietnamese), non-Hispanic White, and Hispanic individuals from US death certificates, 2003 to 2017. RESULTS: Among 618 004 non-Hispanic Asian American, 30 267 178 non-Hispanic White, and 2 292 257 Hispanic deaths from all causes, ASMR from ischemic heart disease significantly decreased in all subgroups of Asian American women and in non-Hispanic White and Hispanic women; significantly decreased in Chinese, Filipino, Japanese, and Korean men and non-Hispanic White and Hispanic men and remained stagnant in Asian Indian and Vietnamese men. The highest 2017 ASMR from ischemic heart disease among Asian American decedents was in Asian Indian women (77 per 100 000) and men (133 per 100 000). Heart failure ASMR remained stagnant in Chinese, Korean, and non-Hispanic White women, and Chinese and Vietnamese men. Heart failure ASMR significantly increased in both sexes in Filipino, Asian Indian, and Japanese individuals, Vietnamese women, and Korean men, with highest 2017 ASMR among Asian American subgroups in Asian Indian women (14 per 100 000) and Asian Indian men (15 per 100 000). Cerebrovascular disease ASMR decreased in Chinese, Filipino, and Japanese women and men between 2003 and 2017, and remained stagnant in Asian Indian, Korean, and Vietnamese women and men. The highest cerebrovascular disease ASMR among Asian American subgroups in 2017 was in Vietnamese women (46 per 100 000) and men (47 per 100 000). CONCLUSIONS: There was heterogeneity in cardiovascular and cerebrovascular mortality among Asian American subgroups, with stagnant or increasing mortality trends in several subgroups between 2003 and 2017.

Acculturation and Associations with Ultra-processed Food Consumption among Asian Americans: NHANES, 2011-2018.

BACKGROUND: Ultra-processed food (UPF) consumption is linked to adverse health outcomes, including cardiovascular disease and all-cause mortality. Asian Americans (AAs) are the fastest growing ethnic group in the United States, yet their dietary patterns have seldom been described. OBJECTIVES: The aim was to characterize UPF consumption among AAs and determine whether acculturation is associated with increased UPF consumption. METHODS: The NHANES is an annual, cross-sectional survey representative of the US population. We examined 2011-2018 NHANES data, which included 2404 AAs ≥18 y old with valid 24-h dietary recall. Using day 1 dietary recall data, we characterized UPF consumption as the percentage of caloric intake from UPFs, using the NOVA classification system. Acculturation was characterized by nativity status, nativity status and years in the United States combined, home language, and an acculturation index. We assessed the association between acculturation and UPF consumption using linear regression analyses adjusted for age, sex, marital status, education, income, self-reported health, and self-reported diet quality. RESULTS: UPFs provided, on average, 39.3% (95% CI: 38.1%, 40.5%) of total energy intake among AAs. In adjusted regression analyses, UPF consumption was 14% (95% CI: 9.5%, 17.5%; P < 0.05) greater among those with the highest compared with the lowest acculturation index score, 12% (95% CI: 8.5%, 14.7%: P < 0.05) greater among those who speak English only compared with non-English only in the home, 12% (95% CI: 8.6%, 14.7%: P < 0.05) greater among US-born compared with foreign-born AAs, and 15% (95% CI: 10.7%, 18.3%: P < 0.05) greater among US-born compared with foreign-born AAs with <10 y in the United States. CONCLUSIONS: UPF consumption was common among AAs, and acculturation was strongly associated with greater proportional UPF intake. As the US-born AA population continues to grow, UPF consumption in this group is likely to increase. Further research on disaggregated AA subgroups is warranted to inform culturally tailored dietary interventions.

Disaggregating Asian American Cigarette and Alternative Tobacco Product Use: Results from the National Health Interview Survey (NHIS) 2006-2018.

INTRODUCTION: Asian Americans suffer high rates of smoking and tobacco-related deaths, varying by ethnic group. Trends of cigarette and alternative tobacco product use among Asian Americans, specifically considering ethnic group, sex, and nativity, are infrequently reported. METHODS: Using National Health Interview Survey (NHIS) data from 2006-2018 and the 2016-2018 alternative tobacco supplement (e-cigarettes, cigars, smokeless tobacco, pipes), we explored cigarette and alternative tobacco product use by Asian ethnic group (Asian Indian (n = 4373), Chinese (n = 4736), Filipino (n = 4912)) in comparison to non-Hispanic Whites (NHWs (n = 275,025)), adjusting for socioeconomic and demographic factors. RESULTS: Among 289,046 adults, 12% of Filipinos were current smokers, twice the prevalence in Asian Indians and Chinese (p < 0.001). The male-female gender difference was fivefold for Chinese (10.3% vs. 2.2%; p < 0.001), eightfold for Asian Indians (8.7% vs. 1.1%; p < 0.001), and twofold for Filipinos (16.8% vs. 9.0%). Moreover, 16.3% of US-born and 10.3% of foreign-born Filipinos were current smokers. Odds of ever using e-cigarettes, cigars, smokeless tobacco, and pipes in comparison to NHWs were lowest for Chinese (ORs 0.6, 0.5, 0.2, and 0.5). DISCUSSION: Filipinos had the highest current smoking rates of Asian ethnic groups. Though more Asian men were current smokers, the high rate of current smoking among Filipinas is concerning. More US-born Filipinos were current smokers than foreign-born, despite rates typically decreasing for US-born Asians. Investigating cultural factors contributing to less frequent use of tobacco products, such as alternative tobacco products among Chinese, may aid campaigns in curbing tobacco usage.