Screening for Food and Nutrition Insecurity in the Healthcare Setting: A Cross-Sectional Survey of Non-Medicaid Insured Adults in an Integrated Healthcare Delivery System.

OBJECTIVES: Healthcare screening identifies factors that impact patient health and well-being. Hunger as a Vital Sign (HVS) is widely applied as a screening tool to assess food security. However, there are no common practice screening questions to identify patients who are nutrition insecure or acquire free food from community-based organizations. This study used self-reported survey data from a non-Medicaid insured adult population approximately one year after the start of the COVID-19 pandemic (2021). The survey examined the extent to which the HVS measure might have under-estimated population-level food insecurity and/or nutrition insecurity, as well as under-identified food and nutrition insecurity among patients being screened for social risks in the healthcare setting. METHODS: Data from a 2021 English-only mailed/online survey were analyzed for 2791 Kaiser Permanente Northern California (KPNC) non-Medicaid insured members ages 35-85 years. Sociodemographics, financial strain, food insecurity, acquiring free food from community-based organizations, and nutrition insecurity were assessed. Data from respondents' electronic health records were abstracted to identify adults with diet-related chronic health conditions. Data were weighted to the age × sex × racial/ethnic composition of the 2019 KPNC adult membership. Differences between groups were evaluated for statistical significance using adjusted prevalence ratios (aPRs) derived from modified log Poisson regression models. RESULTS: Overall, 8.5% of participants reported moderate or high food insecurity, 7.7% had acquired free food from community-based organizations, and 13% had nutrition insecurity. Black and Latino adults were significantly more likely than White adults to have food insecurity (17.4% and 13.1% vs 5.6%, aPRs = 2.97 and 2.19), acquired free food from community-based organizations (15.1% and 15.3% vs 4.1%, aPRs = 3.74 and 3.93), nutrition insecurity (22.1% and 23.9% vs 7.9%, aPRs = 2.65 and 2.64), and food and nutrition insecurity (32.4% and 32.5% vs 12.3%, aPRs = 2.54 and 2.44). Almost 20% of adults who had been diagnosed with diabetes, prediabetes, ischemic CAD, or heart failure were food insecure and 14% were nutrition insecure. CONCLUSIONS: Expanding food-related healthcare screening to identify and assess food insecurity, nutrition insecurity, and use of community-based emergency food resources together is essential for supporting referrals that will help patients achieve optimal health.

U.S. Filipino Adults Have Elevated Prevalence of Hypertension Across the Adult Lifespan: Findings From a Cross-Sectional Electronic Health Record Study.

Introduction: The prevalence of hypertension increases with age and differs by race and ethnicity. Among U.S. Asian adults, prevalence is higher for Filipino adults than for other major Asian subgroups, but whether this disparity exists across the adult lifespan is unknown. This study examined hypertension prevalence by age decade, comparing Filipino adults with South Asian, Chinese, Black, Hispanic, and White adults. Methods: This cross-sectional study used 2015-2016 electronic health record data from a Northern California integrated healthcare delivery system for 1,839,603 adults aged 30-79 years, including 128,124 Filipino adults. Hypertension was defined by diagnosis codes. Sex-specific prevalence was calculated by race and ethnicity overall and by 10-year age decade from ages 30-39 years to 70-79 years. The prevalence of hypertension among 5 racial and ethnic groups was compared within each decade (with Filipino as the reference), adjusting for age, English language, diabetes, smoking, and weight category. Results: Decade-specific prevalence of hypertension among Filipino men and women, respectively, was 9.7% and 8.5% for ages 30-39 years, 26.0% and 23.9% for ages 40-49 years, 45.9% and 44.4% for ages 50-59 years, 65.4% and 63.9% for ages 60-69 years, and 82.1% and 82.9% for ages 70-79 years. Across all age decades, hypertension prevalence among Filipino adults largely tracked with Black adults and was much higher than among South Asian, Chinese, White, and Hispanic adults. This pattern remained after adjusting for covariates, with the largest differences observed for adults aged <60 years. Conclusions: Similar to Black adults, Filipino adults have persistently higher hypertension prevalence than South Asian, Chinese, Hispanic, and White adults across the adult lifespan. These findings underscore the importance of surveillance and prevention efforts for this high-risk Asian group beginning in early adulthood.

The Digital Transition: Are Adults Aged 65 Years or Older Willing to Complete Online Forms and Questionnaires in Patient Portals?

INTRODUCTION: Patients are being encouraged to complete forms electronically using patient portals rather than on paper, but willingness of older adults to make this transition is uncertain. METHODS: The authors analyzed data for 4105 Kaiser Permanente Northern California 2020 Member Health Survey respondents aged 65-85 years who answered a question about willingness to complete online forms and questionnaires using a patient portal. Data weighted to the Kaiser Permanente Northern California membership were used to estimate percentages of older adults willing to complete patient portal forms and questionnaires. Chi-square tests and log-Poisson regression models that included sociodemographic, internet use, and patient portal variables were used to identify factors predictive of willingness. RESULTS: Overall, 59.6% of older adults were willing to complete patient portal forms, 17.6% were not willing, and 22.8% were not sure. Adults aged 75-85 (49.5%) vs 65-74 years (64.8%) and Black (51.9%) and Latino (46.5%) vs White (62.8%) adults were less likely to indicate willingness. In addition to racial and ethnic differences and younger age, higher educational attainment, use of the internet alone (vs internet use with help or not at all), having an internet-enabled computer or tablet, and having sent at least 1 message through the patient portal increased likelihood of being willing. CONCLUSIONS: Health care teams should assess older adults' capabilities and comfort related to completion of patient portal-based forms and support those willing to make the digital transition. Paper forms and oral collection of information should remain available for those unable or unwilling to make this digital transition.

Barriers to Healthcare for Latinx Autistic Children and Adolescents.

PURPOSE: To understand the ways in which autistic Latinx children experience disparities in diagnosis, healthcare, and receipt of specialty services. METHODS: 417 individuals who identified as Latinx caregivers of autistic children who were members of the same integrated healthcare system in Northern California were surveyed. Responses were analyzed using the child's insurance coverage (Government or Commercial) and caregiver's primary language (Spanish or English). RESULTS: Compared to the commercially-insured, government-insured participants accessed several services at a higher rate and were less likely to cite the high cost of co-pays as a barrier. CONCLUSION: There were no significant differences in service access by language status, but Spanish speakers were more likely to cite health literacy as a barrier to receiving care.

Advance Directives for Patients With Breast Cancer: Applying the Right Info/Right Care/Right Patient/Right Time Oncology Model.

Background Advance directives (AD) are an important component of life care planning for patients undergoing treatment for cancer; however, there are few effective interventions to increase AD rates. In this quality improvement project, the authors integrated AD counseling into a novel right info/right care/right patient/right time (4R) sequence of care oncology delivery intervention for breast cancer patients in an integrated health care delivery system. Methods The authors studied two groups of patients with newly diagnosed breast cancer who attended a multidisciplinary clinic and underwent definitive surgery at a single facility. The usual care (UC) cohort (N = 139) received care from October 1, 2019 to September 30, 2020. The 4R cohort (N = 141) received care from October 1, 2020 to September 30, 2121 that included discussing AD completion with a health educator prior to surgery. The authors used bivariate analyses to assess whether the AD intervention increased AD completion rates and to identify factors influencing AD completion. Results The UC and 4R cohorts were similar in age, gender, race/ethnicity, interpreter need, Elixhauser comorbidity index, National Comprehensive Cancer Network distress score ≥ 5, surgery type, stage, histology, grade, and Estrogen receptor/Progesterone receptor/ human epidermal growth factor receptor 2 (ER/PR/HER2) status. AD completion rates prior to surgery were significantly higher for the 4R vs UC cohort (73.8%, 95% confidence interval [CI] [66.5%-81.0%] vs 15.1%, 95% CI [9.2%-21.1%], p < .01) and did not significantly differ by age, race, need for interpreter, or distress scores. Conclusion Incorporation of a health educator discussion into a 4R care sequence plan significantly increased rates of time-sensitive AD completion.

Social Risks, Social Needs, and Attitudes Toward Social Health Screening 1 Year Into the COVID-19 Pandemic: Survey of Adults in an Integrated Health Care Delivery System.

Introduction Information about demographic differences in social risks, needs, and attitudes toward social health screening in non-highly vulnerable adult populations is lacking. Methods The authors analyzed data for 2869 Kaiser Permanente Northern California non-Medicaid-covered members aged 35 to 85 who responded to a 2021 English-only mailed/online survey. The survey covered 7 social risk and 11 social needs domains and attitudes toward social health screening. The authors used data weighted to the Kaiser Permanente Northern California membership to estimate prevalence of risks, needs, and screening receptivity in the overall population, by race/ethnicity (White, Black, Latinx, Asian American/Pacific Islander) and age (35-65 years old, 66-85 years old). Multivariable regression was used to evaluate differences between groups. Results Overall, 26% of adults were financially strained, 12% food insecure, 12% housing insecure, and 5% transportation insecure. Additionally, 7%, 8%, and 17% had difficulty paying for utilities, medical expenses, and dental care, respectively. Over 40% of adults wanted help with ≥ 1 social need. Dental care, vision/hearing care, paying for medical expenses and utilities, and managing debt/credit card repayment surpassed food, housing, and transportation needs. Prevalence of social risks and needs was generally higher among middle-aged versus older and Black and Latinx versus White adults. Among the 70% of adults receptive to screening, 85% were willing to complete a questionnaire and 40% were willing to have staff ask questions; 18% did not want to be screened. Conclusion When implementing social health screening in diverse patient populations, the prevalence of social risks and needs, as well as the acceptability of social health screening and screening modalities, will vary among demographic subgroups.

Cannabis Use for Medical Reasons Among Patients in a Large California Health Care System After Legalization of Nonmedical Use.

OBJECTIVE: In 2018, California legalized the sale of cannabis for adult nonmedical use. To understand use of cannabis after legalization, we surveyed a stratified random sample of adults in a large health system (ages 19-64 years) with and without documented chronic pain about their reasons for cannabis use from November 2018 to March 2019. METHOD: We compared patients with and without chronic pain on measures for medical, nonmedical, pain-related, and mental health-related cannabis use based on self-reported symptoms. RESULTS: Patients with chronic pain reported higher past-year medical use (34.6%) compared to patients without chronic pain (22.8%), past-year pain-related use (29.7% vs. 15.5%), and past-year mental health-related use (24.8% vs. 18.9%). In adjusted models, relative to patients without chronic pain, those with chronic pain had a 6.2% (95% CI [0.010, 0.11]) higher probability of past-year medical cannabis use and an 8.0% (95% CI [0.035, 0.13]) higher probability of past-year pain-related cannabis use. CONCLUSIONS: Compared to patients without chronic pain, patients with chronic pain were more likely to use cannabis for reasons related to medical and pain symptoms in the past year. Use for past-year mental health symptoms did not differ between these two groups. Cannabis use among patients with and without chronic pain is common after legalization for nonmedical use, and understanding reasons for use is important to improve overall patient care.

Trends in Smoking-Specific Lung Cancer Incidence Rates Within a US Integrated Health System, 2007-2018.

BACKGROUND: At least 10% of lung cancers arise in adults who have never used tobacco. Data remain inconclusive on whether lung cancer incidence has been increasing among adults who have never used tobacco. RESEARCH QUESTION: How have age-adjusted incidence rates of lung cancer changed temporally, especially among adults who have never used tobacco? STUDY DESIGN AND METHODS: Trends in lung cancer incidence were examined using linked electronic health record and cancer registry data on a dynamic cohort of adults ≥ 30 years of age at risk of incident lung cancer between January 1, 2007, and December 31, 2018, from an integrated health-care system in northern California. Truncated age-adjusted lung cancer incidence rates and average annual percentage change (AAPC) in rates were estimated, overall and separately for adults who have ever and never used tobacco by age, sex, and race or ethnicity. RESULTS: The cohort included 3,751,348 adults (52.5% female, 48.0% non-Hispanic White, 63.1% have never used tobacco), among whom 18,627 (52.7% female, 68.6% non-Hispanic White, 15.4% have never used tobacco) received a diagnosis of lung cancer. The overall lung cancer incidence rate declined from 91.1 to 63.7 per 100,000 person-years between 2007 and 2009 and between 2016 and 2018 (AAPC, -3.9%; 95% CI, -4.2% to -3.6%). Among adults who have ever used tobacco, incidence rates declined overall from 167.0 to 113.4 per 100,000 person-years (AAPC, -4.2%; 95% CI, -4.4% to -3.9%) and, to varying degrees, within all age, sex, and racial or ethnic groups. Among adults who have never used tobacco, incidence rates were relatively constant, with 3-year-period estimates ranging from 19.9 to 22.6 per 100,000 person-years (AAPC, 0.9%; 95% CI, -0.3% to 2.1%). Incidence rates for adults who have never used tobacco seemed stable over time, within age, sex, and racial or ethnic groups, except for those of Asian and Pacific Islander (API) origin (AAPC, 2.0%; 95% CI, 0.1%-3.9%), whose rates were about twice as high compared with their counterparts. INTERPRETATION: These observed trends underscore the need to elucidate further the cause of lung cancer in adults who have never used tobacco, including why incidence is higher and rising in API adults who have never used tobacco.

Sex- and ethnic-specific patterns in the incidence of hip fracture among older US Asian and non-Hispanic White adults.

BACKGROUND: Asian and Pacific Islander (Asian/PI) adults have lower hip fracture incidence than non-Hispanic White (NHW) adults, but data regarding Asian/PI subgroups are limited. We compared hip fracture incidence among older US Asian/PI and NHW populations, including ethnic subgroup differences. METHODS: Using observational data from a California healthcare system, we identified Asian/PI and NHW adults aged ≥50 years (2000-2019) and followed subjects to 2021 for hip fracture determined by principal/primary hospital diagnosis or by secondary hospital diagnosis with hip/femur procedure codes. Age-adjusted hip fracture incidence was calculated with 95% confidence intervals (CIs). Log-Poisson regression was used to determine fracture incidence rate ratios (IRRs, [CI]; NHW or Chinese as reference) adjusting for age and year. RESULTS: Among 215,359 Asian/PI and 776,839 NHW women, hip fracture incidence was 1.34 (1.28-1.40) and 2.97 (2.94-3.01) per 1000 person-years, respectively, with IRR 0.45 (0.43-0.47). Among 188,328 Asian/PI and 697,046 NHW men, hip fracture incidence was 0.62 (0.58-0.67) and 1.81 (1.78-1.84) per 1000 person-years, respectively, with IRR 0.34 (0.32-0.37). For the four largest Asian/PI subgroups, Filipina women (IRR 0.85 [0.75-0.96]) had lower, and Japanese (IRR 1.36 [1.20-1.54]) and South Asian (IRR 1.36 [1.07-1.72]) women had higher hip fracture incidence compared to Chinese women. Hip fracture incidence was only higher among South Asian (IRR 1.61 [1.21-2.14]) compared to Chinese men. CONCLUSION: Hip fracture incidence among US Asian/PI adults was 55% (women) and 66% (men) lower than NHW adults, but incidence varied by Asian/PI subgroup. The heterogeneity among Asian/PI adults highlights the importance of examining fracture risk by ethnic subgroup.

Cardiovascular Disease Risk Factors Among Middle-Aged and Older Adult Vietnamese American Members of a Northern California Health Plan.

OBJECTIVE: There is increasing recognition that cardiovascular disease (CVD) risk factors vary by Asian subgroups. We examined CVD risk factor prevalence among Vietnamese adults in a northern California health plan. METHODS: We used electronic health record data to examine smoking, overweight/obesity (body mass index ≥23.0 kg/m2), obesity (body mass index ≥27.5 kg/m2), prediabetes, diabetes, and hypertension among middle-aged (n = 12 757; aged 45-64 years) and older (n = 3418; aged 65-84 years) Vietnamese adults, including 37.8% whose preferred language was Vietnamese. Findings were compared with East Asian adults. RESULTS: Current smoking prevalence was 20.3% for middle-aged men, 7.0% for older men, and <1% for women in both age groups. Obesity prevalence was 12.0% for older men, 17.9% for middle-aged men, and 10% for women in both age groups. Among middle-aged men and women, 20.9% and 17.0% had hypertension and 13.5% and 8.5% had diabetes, respectively. Among older men and women, 64.0% and 60.0% had hypertension and 32.8% and 29.3% had diabetes, respectively. In both age groups, Vietnamese language preference was associated with higher risk of smoking (men only) and of diabetes and hypertension (women only). Compared with East Asian adults, Vietnamese adults had lower obesity prevalence but similar prevalence of diabetes, prediabetes, and hypertension. Vietnamese men were more likely and Vietnamese women less likely than East Asian adults to be current smokers. CONCLUSIONS: Study results suggest that more research on health conditions, lifestyle, and social factors among Vietnamese American adults is needed to develop culturally competent interventions to reduce CVD risk in this growing ethnic group.

Prevalence of sleep-related problems and risks in a community-dwelling older adult population: a cross-sectional survey-based study.

BACKGROUND: Despite evidence of adverse health consequences of inadequate restorative sleep for older adults, assessment of sleep quantity, quality, and use of sleep aids is not routinely done. We aimed to characterize sleep problems, sleep risks, and advice received about sleep in a community-dwelling older adult population, overall and in subgroups with health conditions and functional difficulties. METHODS: This cross-sectional study used weighted self-report data for 5074 Kaiser Permanente Northern California members aged 65-79y who responded to a 2017 or 2020 Member Health Survey. We estimated usual amount of sleep (< 6, 6 to < 7, ≥7 hours) and prevalence of sleep problems (frequent insomnia, frequent daytime fatigue, poor quality sleep, and potential sleep apnea (OSA) symptoms (frequent very loud snoring, apnea episodes)) for older adults overall, by self-rated health, and in subgroups reporting hypertension, diabetes, heart disease, frequent problems with balance/walking, and frequent memory problems. We also estimated percentages who regularly used sleep aids and had discussed sleep adequacy with a healthcare professional in the past year. RESULTS: Approximately 30% of older adults usually got less than the recommended ≥7 hours sleep per day, and 9% experienced frequent daytime fatigue, 13% frequent insomnia, 18% frequent insomnia/poor quality sleep, and 8% potential OSA symptoms. Prevalence of frequent insomnia was higher among women than men (16% vs. 11%). Higher percentages of those in fair/poor health and those with frequent balance/walking and memory problems reported sleeping < 6 hours per day and having all four types of sleep problems. Nearly 20% of all older adults (22% of women vs. 17% of men) and 45% of those with frequent insomnia (no sex difference) reported regular sleep aid use. Only 10% of older adults reported discussing sleep with a healthcare professional whereas > 20% reported discussing diet and exercise. CONCLUSIONS: Large percentages of older adults experience sleep problems or get less sleep than recommended for optimal sleep health. Older patients should routinely be assessed on multiple components of sleep health (sleep hygiene, quantity, quality, problems, and sleep aid use) and educated about sleep hygiene and the importance of getting adequate restorative sleep for their overall health and wellbeing.

Prevalence of prediabetes and diabetes vary by ethnicity among U.S. Asian adults at healthy weight, overweight, and obesity ranges: an electronic health record study.

BACKGROUND: Asian adults develop Type 2 diabetes at a lower body mass index (BMI) compared to other racial/ethnic groups. We examined the variation in prevalence of prediabetes and diabetes among Asian ethnic groups within weight strata by comparing middle-aged Chinese, Filipino, South Asian, and White adults receiving care in the same integrated healthcare delivery system. METHODS: Our retrospective cross-sectional U.S. study examined data from 283,110 (non-Hispanic) White, 33,263 Chinese, 38,766 Filipino, and 17,959 South Asian adults aged 45-64 years who were members of a Northern California health plan in 2016 and had measured height and weight. Prediabetes and diabetes were classified based on laboratory data, clinical diagnoses, or diabetes pharmacotherapy. Age-standardized prevalence of prediabetes and diabetes were compared by race/ethnicity within healthy weight, overweight, and obesity categories, using standard BMI thresholds for White adults (18.5 to < 25, 25 to < 30, ≥ 30 kg/m2) and lower BMI thresholds for Asian adults (18.5 to < 23, 23 to < 27.5, ≥ 27.5 kg/m2). Prevalence ratios (PRs) were used to compare the prevalence of diabetes and prediabetes for Asian groups to White adults in each weight category, adjusted for age and BMI. RESULTS: Across all weight categories, diabetes prevalence was higher for Asian than White adults, and among Asian groups it was highest for Filipino and South Asian adults. Compared to White, PRs for South Asian men/women at healthy BMI were 1.8/2.8 for prediabetes and 5.9/8.0 for diabetes, respectively. The PRs for Filipino men/women at healthy BMI were 1.8/2.6 for prediabetes and 5.0/7.5 for diabetes, respectively. For Chinese men/women at healthy BMI, the PRs for prediabetes (2.1/2.9) were similar to Filipino and South Asian, but the PRs for diabetes were lower (2.1/3.4). CONCLUSION: Chinese, Filipino, and South Asian adults have higher prevalence of prediabetes and diabetes than White adults in all weight categories, despite using lower BMI thresholds for weight classification in Asian groups. Within Asian ethnic groups, Filipino and South Asian adults had considerably higher diabetes prevalence than Chinese adults. Our data emphasize the disproportionate metabolic risk among middle-aged Asian adults and underscore the need for diabetes screening among high-risk Asian groups at healthy BMI levels.

Prospective evaluation of social risks, physical function, and cognitive function in prediction of non-elective rehospitalization and post-discharge mortality.

BACKGROUND: Increasing evidence suggests that social factors and problems with physical and cognitive function may contribute to patients' rehospitalization risk. Understanding a patient's readmission risk may help healthcare providers develop tailored treatment and post-discharge care plans to reduce readmission and mortality. This study aimed to evaluate whether including patient-reported data on social factors; cognitive status; and physical function improves on a predictive model based on electronic health record (EHR) data alone. METHODS: We conducted a prospective study of 1,547 hospitalized adult patients in 3 Kaiser Permanente Northern California hospitals. The main outcomes were non-elective rehospitalization or death within 30 days post-discharge. Exposures included patient-reported social factors and cognitive and physical function (obtained in a pre-discharge interview) and EHR-derived data for comorbidity burden, acute physiology, care directives, prior utilization, and hospital length of stay. We performed bivariate comparisons using Chi-square, t-tests, and Wilcoxon rank-sum tests and assessed correlations between continuous variables using Spearman's rho statistic. For all models, the results reported were obtained after fivefold cross validation. RESULTS: The 1,547 adult patients interviewed were younger (age, p = 0.03) and sicker (COPS2, p < 0.0001) than the rest of the hospitalized population. Of the 6 patient-reported social factors measured, 3 (not living with a spouse/partner, transportation difficulties, health or disability-related limitations in daily activities) were significantly associated (p < 0.05) with the main outcomes, while 3 (living situation concerns, problems with food availability, financial problems) were not. Patient-reported cognitive (p = 0.027) and physical function (p = 0.01) were significantly lower in patients with the main outcomes. None of the patient-reported variables, singly or in combination, improved predictive performance of a model that included acute physiology and longitudinal comorbidity burden (area under the receiver operator characteristic curve was 0.716 for both the EHR model and maximal performance of a random forest model including all predictors). CONCLUSIONS: In this insured population, incorporating patient-reported social factors and measures of cognitive and physical function did not improve performance of an EHR-based model predicting 30-day non-elective rehospitalization or mortality. While incorporating patient-reported social and functional status data did not improve ability to predict these outcomes, such data may still be important for improving patient outcomes.

Differences in Health Characteristics of Geographic Subgroups of Arab Americans in a Northern California Health Plan.

INTRODUCTION: Arab Americans are a diverse ethnic group originating from a large geographic area in the Middle East and North Africa (MENA). We aim to characterize differences in health between Arab Americans from different geographic subgroups within MENA. METHODS: We used cross-sectional electronic health record (EHR) data for a subset of 4913 Arab Americans aged 20-84 in a 2016 Northern California health plan study cohort who could be assigned to one of 4 geographic subgroups (Gulf, African, Levant, and Other) based on EHR ethnicity data. We calculated age-adjusted prevalence estimates for men and women and used generalized linear models to compare Gulf, African, and Other subgroups to Levant Arabs on risk factors (obesity and smoking), chronic conditions (diabetes, hypertension, hyperlipidemia, and asthma), and mental health (depression and anxiety). RESULTS: Among women, prevalence of smoking was lower among Gulf, African, and Other Arabs than Levant Arabs. Among men, prevalence of obesity, diabetes, and hyperlipidemia was lower among Gulf, African, and Other Arabs than Levant Arabs, while prevalence of depression was higher for these subgroups than Levant Arabs. DISCUSSION: We found substantial differences in health characteristics across Arab Americans from different geographic subgroups. Our results suggest that more detailed race and ethnicity information should be collected on Arab Americans to better understand their diverse health risks.

Understanding differences within ethnic group designation: comparing risk factors and health indicators between Iranian and Arab Americans in Northern California.

BACKGROUND: The Middle Eastern and North African (MENA) ethnic group is a diverse group composed of two primary subsets in the United States: Iranian and Arab Americans. We aimed to compare health risk factors, chronic health conditions, and mental health conditions of Iranian and Arab American adults in Northern California. METHODS: We used cross-sectional electronic health record (EHR) data from a 2016 Northern California health plan study cohort to compare adults classified as Iranian or Arab American based on ethnicity, language, or surname. We produced age-standardized prevalence estimates of obesity, smoking, hyperlipidemia, prediabetes, diabetes, hypertension, depression, and anxiety for Iranian and Arab American men and women by age group (35-44, 45-64, and 65-84) and overall (35-84). We used generalized linear models to calculate prevalence ratios (PR) to compare Iranian and Arab American adults ages 35-84 on all health indicators. RESULTS: Compared to Arab Americans, Iranian Americans had a lower prevalence of obesity (PR: 0.77, 95% confidence interval, CI: 0.73, 0.82), current smoking (PR: 0.80, 95% CI: 0.73, 0.89), and ever smoking (PR: 0.95, 95% CI: 0.91, 0.99), but a higher prevalence of hyperlipidemia (PR: 1.09, 95% CI: 1.06, 1.12), prediabetes (PR: 1.12, 95% CI: 1.09, 1.16), depression (PR; 1.41, 95% CI: 1.30, 1.52), and anxiety (PR: 1.52, 95% CI: 1.42, 1.63). Similar patterns were observed for men and women. CONCLUSION: This work supports the need to collect granular data on race and ethnicity within the MENA ethnic group to improve identification in clinical care settings and population health reporting to better address the physical and mental health needs of different MENA subgroups.

Racial/ethnic, gender, and age group differences in cardiometabolic risks among adults in a Northern California health plan: a cross-sectional study.

BACKGROUND: In the U.S., the prevalence of diabetes and hypertension are higher among African American/Black (Black), Latinx, and Filipino adults than non-Hispanic White (White) and Chinese adults. We compared the racial/ethnic-specific prevalence of several modifiable cardiometabolic risks in an insured adult population to identify behaviors that may drive racial/ethnic differences in cardiometabolic health. METHODS: This cross-sectional study used data for middle-aged (35-64) and older (65-79) Kaiser Permanente Northern California (KPNC) adult health plan members. Smoking status and BMI were derived from electronic health record data. Weighted pooled self-reported data from the 2014/2015 and 2017 KPNC Member Health Survey cycles were used to estimate daily number of servings of fruits/vegetables, general sodium avoidance, sugar-sweetened beverage (SSB) consumption frequency, alcohol use within daily recommended limit, weekly exercise frequency, and number of hours of sleep daily. Age-standardized estimates of all cardiometabolic risks were produced for middle-aged and older-aged women and men in the five racial/ethnic groups. Analyses focused on racial/ethnic differences within age-gender groups and gender and age group differences within racial/ethnic groups. RESULTS: In both age groups, Black, Latinx, and Filipino adults were more likely than White and Chinese adults to have overweight and obesity and were less likely to engage in health promoting dietary (fruit/vegetable and SSB consumption, sodium avoidance (women only)) and sleep behaviors. Middle-aged Black and Filipino men were more likely than White men to be current smokers. Less racial/ethnic variation was seen in exercise frequency. Significant gender differences were observed for dietary behaviors overall and within racial/ethnic groups, especially among middle-aged adults; however, these gender differences were smaller for sleep and exercise. Age differences within gender and racial/ethnic groups were less consistent. Racial/ethnic and gender differences in these behaviors were also seen in the subsample of adults with diabetes and/or hypertension and in the subsample of adults who reported they were trying to engage in health promoting behaviors. CONCLUSIONS: Black, Latinx, and Filipino adults were more likely than White and Chinese adults to report dietary and sleep behaviors associated with development and worsening of cardiometabolic conditions, with men exhibiting poorer dietary behaviors than women.

Health Risks and Chronic Health Conditions among Arab American and White Adults in Northern California.

Objectives: To characterize the prevalence of chronic cardiovascular conditions and risk factors among Arab American adults stratified by sex and compare these with non-Hispanic Whites. Design: Cross-sectional study using electronic health record data from visits between January 2015 and December 2016. Age-adjusted prevalence estimates were calculated for men and women and compared using generalized linear models. Setting: Kaiser Permanente health plan in Northern California. Participants: Non-Hispanic White (N=969,566) and Arab American (N=18,072) adult members. Main Outcome Measures: Sex-stratified prevalence and prevalence ratios of diabetes, pre-diabetes, hypertension, and hyperlipidemia diagnosed by December 2016 and of obesity, ever smoking, and current smoking status. Results: Arab American men had a significantly higher prevalence of ever smoking (41.8 vs 40.8%), diabetes (17.3 vs 12.5%), and hyperlipidemia (40.8 vs 34.7%) than White men, but a significantly lower prevalence of obesity (34.4 vs 37.8%) and hypertension (30.5 vs 33.3%). Arab American women had a significantly higher prevalence of diabetes (11.1 vs 8.7%) and hyperlipidemia (31.5 vs 28.3%) than White women but significantly lower prevalence of obesity (31.0 vs 34.2%), ever smoking (24.8 vs 34.5%), and hypertension (25.8 vs 28.4%). Conclusions: Hospital and health systems should intentionally collect data on Middle Eastern and North African ethnicity in electronic health records to identify and reduce the disparities this minority group faces.