scholarly journals Measuring the missing: greater racial and ethnic disparities in COVID-19 burden after accounting for missing race/ethnicity data

2020 ◽  
Author(s):  
Katie Labgold ◽  
Sarah Hamid ◽  
Sarita Shah ◽  
Neel R. Gandhi ◽  
Allison Chamberlain ◽  
...  
Keyword(s):  
Ethnic Disparities ◽  
Case Fatality ◽  
The United States ◽  
Infection Rates ◽  
Bias Adjustment ◽  
Social Inequities ◽  
Increased Risk ◽  
Race Ethnicity ◽  
The Difference ◽  
Racial Ethnic

AbstractBlack, Hispanic, and Indigenous persons in the United States have an increased risk of SARS-CoV-2 infection and death from COVID-19, due to persistent social inequities. The magnitude of the disparity is unclear, however, because race/ethnicity information is often missing in surveillance data. In this study, we quantified the burden of SARS-CoV-2 infection, hospitalization, and case fatality rates in an urban county by racial/ethnic group using combined race/ethnicity imputation and quantitative bias-adjustment for misclassification. After bias-adjustment, the magnitude of the absolute racial/ethnic disparity, measured as the difference in infection rates between classified Black and Hispanic persons compared to classified White persons, increased 1.3-fold and 1.6-fold respectively. These results highlight that complete case analyses may underestimate absolute disparities in infection rates. Collecting race/ethnicity information at time of testing is optimal. However, when data are missing, combined imputation and bias-adjustment improves estimates of the racial/ethnic disparities in the COVID-19 burden.

scholarly journals Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia

2021 ◽  
Vol 18 (6) ◽  
pp. 2921
Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  
Keyword(s):  
United States ◽  
District Of Columbia ◽  
Ethnic Disparities ◽  
The United States ◽  
Attributable Mortality ◽  
Race Ethnicity ◽  
Using Data ◽  
Rate Ratios ◽  
Degree Of Association ◽  
Racial Ethnic

The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios—anchoring comparisons to non-Hispanic Whites—in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.

Anxiety and depression among racial/ethnic minorities and impoverished women testing positive for BRCA1/2 mutations in the United States

2021 ◽  
Author(s):  
Kate E Dibble ◽  
Avonne E Connor
Keyword(s):  
United States ◽  
Depressive Symptoms ◽  
Hispanic Women ◽  
Ethnic Disparities ◽  
The United States ◽  
Medically Underserved ◽  
Increased Risk ◽  
Poverty Status ◽  
Race Ethnicity ◽  
Severe Anxiety

Abstract PurposeTo outline the association between race/ethnicity and poverty status and perceived anxiety and depressive symptomologies among BRCA1/2-positive United States (US) women to identify high-risk groups of mutation carriers from medically underserved backgrounds.Methods211 BRCA1/2-positive women from medically underserved backgrounds were recruited through national Facebook support groups and completed an online survey. Adjusted odds ratios (aOR) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression for associations between race/ethnicity, poverty status, and self-reported moderate-to-severe anxiety and depressive symptoms.ResultsWomen ranged in age (18–75, M = 39.5, SD = 10.6). Most women were non-Hispanic white (NHW) (67.2%) and were not impoverished (76.7%). Hispanic women with BRCA1/2 mutations were 6.11 times more likely to report moderate-to-severe anxiety (95% CI, 2.16–17.2, p = 0.001) and 4.28 times more likely to report moderate-to-severe depressive symptoms (95% CI, 1.98–9.60, p = < 0.001) than NHW women with BRCA1/2. Associations were not statistically significant among other minority women. Women living in poverty were significantly less likely to report moderate-to-severe depressive symptoms than women not in poverty (aOR, 0.42, 95% CI, 0.18–0.95, p = 0.04).ConclusionHispanic women with BRCA1/2 mutations from medically underserved backgrounds are an important population at increased risk for worse anxiety and depressive symptomology. Our findings among Hispanic women with BRCA1/2 mutations add to the growing body of literature focused on ethnic disparities experienced across the cancer control continuum.

scholarly journals Racial/Ethnic Disparities in Mortality: Contributions and Variations by Rurality in the United States, 2012–2015

2019 ◽  
Vol 16 (3) ◽  
pp. 436 ◽  
Author(s):  
Jeffrey Hall ◽  
Ramal Moonesinghe ◽  
Karen Bouye ◽  
Ana Penman-Aguilar
Keyword(s):  
Rural Areas ◽  
Ethnic Disparities ◽  
The United States ◽  
Mortality Rates ◽  
Malignant Neoplasms ◽  
Ethnic Populations ◽  
Asian Pacific Islanders ◽  
Race Ethnicity ◽  
Asian Pacific ◽  
Racial Ethnic

The value of disaggregating non-metropolitan and metropolitan area deaths in illustrating place-based health effects is evident. However, how place interacts with characteristics such as race/ethnicity has been less firmly established. This study compared socioeconomic characteristics and age-adjusted mortality rates by race/ethnicity in six rurality designations and assessed the contributions of mortality rate disparities between non-Hispanic blacks (NHBs) and non-Hispanic whites (NHWs) in each designation to national disparities. Compared to NHWs, age-adjusted mortality rates for: (1) NHBs were higher for all causes (combined), heart disease, malignant neoplasms, and cerebrovascular disease; (2) American Indian and Alaska Natives were significantly higher for all causes in rural areas; (3) Asian Pacific islanders and Hispanics were either lower or not significantly different in all areas for all causes combined and all leading causes of death examined. The largest contribution to the U.S. disparity in mortality rates between NHBs and NHWs originated from large central metropolitan areas. Place-based variations in mortality rates and disparities may reflect resource, and access inequities that are often greater and have greater health consequences for some racial/ethnic populations than others. Tailored, systems level actions may help eliminate mortality disparities existing at intersections between race/ethnicity and place.

Infant Mortality among Adolescent Mothers in the United States: A 5-Year Analysis of Racial and Ethnic Disparities

2020 ◽  
Author(s):  
Matthew D. Moore ◽  
Anne E. Brisendine ◽  
Martha S. Wingate
Keyword(s):  
United States ◽  
Preterm Birth ◽  
Infant Mortality ◽  
Ethnic Disparities ◽  
The United States ◽  
Racial And Ethnic Disparities ◽  
Postneonatal Mortality ◽  
Maternal Characteristics ◽  
Race Ethnicity ◽  
Racial Ethnic

Objective This study was aimed to examine differences in infant mortality outcomes across maternal age subgroups less than 20 years in the United States with a specific focus on racial and ethnic disparities. Study Design Using National Center for Health Statistics cohort-linked live birth–infant death files (2009-2013) in this cross-sectional study, we calculated descriptive statistics by age (<15, 15–17, and 18–19 years) and racial/ethnic subgroups (non-Hispanic white [NHW], non-Hispanic black [NHB], and Hispanic) for infant, neonatal, and postneonatal mortality. Adjusted odds ratios (aOR) were calculated by race/ethnicity and age. Preterm birth and other maternal characteristics were included as covariates. Results Disparities were greatest for mothers <15 and NHB mothers. The risk of infant mortality among mothers <15 years compared to 18 to 19 years was higher regardless of race/ethnicity (NHW: aOR = 1.40, 95% confidence interval [CI]: 1.06–1.85; NHB: aOR = 1.28, 95% CI: 1.04–1.56; Hispanic: aOR = 1.36, 95%CI: 1.07–1.74). Compared to NHW mothers, NHB mothers had a consistently higher risk of infant mortality (15–17 years: aOR = 1.12, 95% CI: 1.03–1.21; 18–19 years: aOR = 1.21, 95% CI: 1.15–1.27), while Hispanic mothers had a consistently lower risk (15–17 years: aOR = 0.72, 95% CI: 0.66–0.78; 18–19 years: aOR = 0.74, 95% CI: 0.70–0.78). Adjusting for preterm birth had a greater influence than maternal characteristics on observed group differences in mortality. For neonatal and postneonatal mortality, patterns of disparities based on age and race/ethnicity differed from those of overall infant mortality. Conclusion Although infants born to younger mothers were at increased risk of mortality, variations by race/ethnicity and timing of death existed. When adjusted for preterm birth, differences in risk across age subgroups declined and, for some racial/ethnic groups, disappeared. Key Points

scholarly journals Racial/Ethnic Disparities in Lost Earnings From Cancer Deaths in the United States

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
Jingxuan Zhao ◽  
Kimberly D Miller ◽  
Farhad Islami ◽  
Zhiyuan Zheng ◽  
Xuesong Han ◽  
...  
Keyword(s):  
United States ◽  
Economic Burden ◽  
Ethnic Disparities ◽  
The United States ◽  
Pacific Islanders ◽  
Equal Access ◽  
Years Of Life Lost ◽  
Cancer Death ◽  
Race Ethnicity ◽  
Racial Ethnic

Abstract Background Little is known about disparities in economic burden due to premature cancer deaths by race or ethnicity in the United States. This study aimed to compare person-years of life lost (PYLLs) and lost earnings due to premature cancer deaths by race/ethnicity. Methods PYLLs were calculated using recent national cancer death and life expectancy data. PYLLs were combined with annual median earnings to generate lost earnings. We compared PYLLs and lost earnings among individuals who died at age 16-84 years due to cancer by racial/ethnic groups (non-Hispanic [NH] White, NH Black, NH Asian or Pacific Islander, and Hispanic). Results In 2015, PYLLs due to all premature cancer deaths were 6 512 810 for NH Whites, 1 196 709 for NH Blacks, 279 721 for NH Asian or Pacific Islanders, and 665 968 for Hispanics, translating to age-standardized lost earning rates (per 100 000 person-years) of $34.9 million, $43.5 million, $22.2 million, and $24.5 million, respectively. NH Blacks had higher age-standardized PYLL and lost earning rates than NH Whites for 13 of 19 selected cancer sites. If age-specific PYLL and lost earning rates for NH Blacks were the same as those of NH Whites, 241 334 PYLLs and $3.2 billion lost earnings (22.6% of the total lost earnings among NH Blacks) would have been avoided. Disparities were also observed for average PYLLs and lost earnings per cancer death for all cancers combined and 18 of 19 cancer sites. Conclusions Improving equal access to effective cancer prevention, screening, and treatment will be important in reducing the disproportional economic burden associated with racial/ethnic disparities.

scholarly journals Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia

2021 ◽  
Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  
Keyword(s):  
United States ◽  
District Of Columbia ◽  
Ethnic Disparities ◽  
The United States ◽  
Attributable Mortality ◽  
Estimation Uncertainty ◽  
Race Ethnicity ◽  
Using Data ◽  
Rate Ratios ◽  
Racial Ethnic

AbstractThe coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios – anchoring comparisons to non-Hispanic Whites – in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of December 30, 2020. Using a novel Monte Carlo simulation procedure to quantify estimation uncertainty, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, observed disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.

scholarly journals Racial and Ethnic Disparities in Heart and Cerebrovascular Disease Deaths During the COVID-19 Pandemic in the United States

Circulation ◽  
2021 ◽  
Author(s):  
Rishi Wadhera ◽  
Jose F. Figueroa ◽  
Fatima Rodriguez ◽  
Michael Liu ◽  
Wei Tian ◽  
...  
Keyword(s):  
United States ◽  
Heart Disease ◽  
Cerebrovascular Disease ◽  
Ethnic Minorities ◽  
Minority Group ◽  
Ethnic Disparities ◽  
The United States ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Hispanic White

Background: Cardiovascular deaths increased during the early phase of the COVID-19 pandemic in the United States. However, it is unclear whether racial/ethnic minorities have experienced a disproportionate rise in heart disease and cerebrovascular disease deaths. Methods: We used the National Center for Health Statistics to identify heart disease and cerebrovascular disease deaths for non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, and Hispanic individuals from March-August 2020 (pandemic period), as well as for the corresponding months in 2019 (historical control). We determined the age- and sex-standardized deaths per million by race/ethnicity for each year. We then fit a modified Poisson model with robust standard errors to compare change in deaths by race/ethnicity for each condition in 2020 vs. 2019. Results: There were a total of 339,076 heart disease and 76,767 cerebrovascular disease deaths from March through August 2020, compared to 321,218 and 72,190 deaths during the same months in 2019. Heart disease deaths increased during the pandemic in 2020, compared with the corresponding period in 2019, for non-Hispanic White (age-sex standardized deaths per million, 1234.2 vs. 1208.7; risk ratio for death [RR] 1.02, 95% CI 1.02-1.03), non-Hispanic Black (1783.7 vs. 1503.8; RR 1.19, 1.17-1.20), non-Hispanic Asian (685.7 vs. 577.4; RR 1.19, 1.15-1.22), and Hispanic (968.5 vs. 820.4, RR 1.18, 1.16-1.20) populations. Cerebrovascular disease deaths also increased for non-Hispanic White (268.7 vs. 258.2; RR 1.04, 95% CI 1.03-1.05), non-Hispanic Black (430.7 vs. 379.7; RR 1.13, 95% CI 1.10-1.17), non-Hispanic Asian (236.5 vs. 207.4; RR 1.15, 1.09-1.21), and Hispanic (264.4 vs. 235.9; RR 1.12, 1.08-1.16) populations. For both heart disease and cerebrovascular disease deaths, each racial and ethnic minority group experienced a larger relative increase in deaths than the non-Hispanic White population (interaction term, p<0.001). Conclusions: During the COVID-19 pandemic in the US, Black, Hispanic, and Asian populations experienced a disproportionate rise in deaths due to heart disease and cerebrovascular disease, suggesting that racial/ethnic minorities have been most impacted by the indirect effects of the pandemic. Public health and policy strategies are needed to mitigate the short- and long-term adverse effects of the pandemic on the cardiovascular health of minority populations.

scholarly journals Racial-ethnic disparities in case fatality ratio narrowed after age standardization: A call for race-ethnicity-specific age distributions in State COVID-19 data

2020 ◽  
Author(s):  
Ishaan Pathak ◽  
Yoonjoung Choi ◽  
Dazhi Jiao ◽  
Diana Yeung ◽  
Li Liu
Keyword(s):  
Racial Disparities ◽  
Ethnic Disparities ◽  
Case Fatality ◽  
Asian Population ◽  
Data Availability ◽  
White Population ◽  
Key Points ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Death Data

AbstractImportanceCOVID-19 racial disparities have gained significant attention yet little is known about how age distributions obscure racial-ethnic disparities in COVID-19 case fatality ratios (CFR).ObjectiveWe filled this gap by assessing relevant data availability and quality across states, and in states with available data, investigating how racial-ethnic disparities in CFR changed after age adjustment.Design/Setting/Participants/ExposureWe conducted a landscape analysis as of July 1st, 2020 and developed a grading system to assess COVID-19 case and death data by age and race in 50 states and DC. In states where age- and race-specific data were available, we applied direct age standardization to compare CFR across race-ethnicities. We developed an online dashboard to automatically and continuously update our results.Main Outcome and MeasureOur main outcome was CFR (deaths per 100 confirmed cases). We examined CFR by age and race-ethnicities.ResultsWe found substantial variations in disaggregating and reporting case and death data across states. Only three states, California, Illinois and Ohio, had sufficient age- and race-ethnicity-disaggregation to allow the investigation of racial-ethnic disparities in CFR while controlling for age. In total, we analyzed 391,991confirmed cases and 17,612 confirmed deaths. The crude CFRs varied from, e.g. 7.35% among Non-Hispanic (NH) White population to 1.39% among Hispanic population in Ohio. After age standardization, racial-ethnic differences in CFR narrowed, e.g. from 5.28% among NH White population to 3.79% among NH Asian population in Ohio, or an over one-fold difference. In addition, the ranking of race-ethnic-specific CFRs changed after age standardization. NH White population had the leading crude CFRs whereas NH Black and NH Asian population had the leading and second leading age-adjusted CFRs respectively in two of the three states. Hispanic population’s age-adjusted CFR were substantially higher than the crude. Sensitivity analysis did not change these results qualitatively.Conclusions and RelevanceThe availability and quality of age- and race-ethnic-specific COVID-19 case and death data varied greatly across states. Age distributions in confirmed cases obscured racial-ethnic disparities in COVID-19 CFR. Age standardization narrows racial-ethnic disparities and changes ranking. Public COVID-19 data availability, quality, and harmonization need improvement to address racial disparities in this pandemic.Key PointsQuestionWhat are the racial-ethnic disparities in COVID-19 case fatality ratios (CFR) across states after adjusting for age?FindingsWe conducted direct standardization among 391,991 COVID-19 cases and 17,612 deaths from California, Illinois and Ohio to compare age-adjusted CFR across race-ethnicities. The racial-ethnic disparities in CFR narrowed and the ranking changed after age standardization.MeaningAge distributions in confirmed cases obscured racial-ethnic disparities in COVID-19 CFR.

Investigation of an ethnic predisposition to developing brain metastases (BM) in Asian patients with colorectal cancer (CRC).

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15023-e15023
Author(s):  
Kerri McGovern ◽  
Teresa Rodriguez ◽  
Melissa H Smith ◽  
Antonia Maloney ◽  
Wasif M. Saif
Keyword(s):  
Overall Survival ◽  
Molecular Markers ◽  
Ethnic Disparities ◽  
The United States ◽  
Treatment Modalities ◽  
Increased Risk ◽  
Incidence And Mortality ◽  
Race Ethnicity ◽  
The Impact ◽  
Hispanic White

e15023 Background: CRC, the third most common cancer in the United States, carries racial/ethnic disparities in both incidence and mortality. With availability of effective systemic therapies, the life of CRC patients can be prolonged which thereby increases the risk of metastases at uncommon sites, such as the brain. We report our investigation into the impact of race/ethnicity on the incidence of BM in CRC patients using retrospective data (2010 – 2018) at a single institution. Methods: We retrospectively reviewed patients diagnosed with CRC and collected data on age, race/ethnicity, stage, treatment modalities, metastatic sites, and survival. Race and ethnicity were defined in accordance with federal standards set by the U.S. Census. Following this, race/ethnicity was self-declared and/or based on the primary language declared and categorized as non-Hispanic White, Hispanic White, non–Hispanic Black, Asian, or Unknown/Other. CRC location was classified as right-sided, left-sided or rectal. Results: We identified 264 CRC patients (median age: 61; range: 38 - 99). Among them 123 identified as non-Hispanic white, 28 non-Hispanic black, 26 Hispanic white, and 9 declared Other. There were 76 (29%) who identified as Asian. Of those 76 patients, 5 (7%) developed BM. All 5 patients were male and stage IV at initial diagnosis. BM was a late stage phenomenon with rectal primary and lung metastases seemly associated with an increased risk in the specific cohort. Molecular markers such as KRAS were available in 3 patients without clear association. Median time to development of BM was 29 months (range: 26 - 33). Median overall survival after BM diagnosis was 5.5 months (range: 4 - 11). Overall survival was longest for the patient who had both radiation and surgery. Conclusions: Our study showed an incidence of BM of 7% in the Asian sub-population compared to the historical control of 0.6 – 3.2% in the overall population. These results at the least warrant further investigation in a larger patient population of BM in CRC patients with emphasis on molecular markers. Recognition of BM in CRC patients is clinically relevant secondary to multiple lines of therapy as mentioned earlier and its grave impact on outcome.

scholarly journals 1016 Multiple Sleep Disturbances and Hypertension Risk Among White, Black, and Hispanic/Latina Women

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A386-A386
Author(s):  
J Lunyera ◽  
Y M Park ◽  
J B Ward ◽  
S A Gaston ◽  
N A Bhavsar ◽  
...  
Keyword(s):  
Sleep Disturbances ◽  
Menopausal Status ◽  
Ethnic Disparities ◽  
The United States ◽  
Poor Sleep ◽  
Hypertension Risk ◽  
Increased Risk ◽  
Race Ethnicity ◽  
Insomnia Symptoms

Abstract Introduction Poor sleep has been associated with a higher risk of hypertension, but few prospective studies have included multiple sleep dimensions and few have investigated age differences or racial/ethnic disparities in this relationship among pre- and post-menopausal women. Methods To investigate the association between sleep disturbances and hypertension risk, we used data from women in the United States enrolled in the Sister Study who were aged 35 to 74 years at baseline (2003 to 2009) and did not have hypertension at enrollment. Participants were followed through September 2017. Sleep duration, inconsistent weekly sleep patterns, sleep debt, frequent napping, and insomnia symptoms were reported at baseline. During follow-up, participants reported whether they were diagnosed by a healthcare provider with hypertension. Adjusting for sociodemographic characteristics, health behaviors, and health conditions including diabetes and depression, we used Cox Proportional Hazards regression to estimate hypertension risk among women with vs. without unfavorable sleep characteristics. We also investigated potential modification by race/ethnicity, age,and menopausal status. Results Of 33,175 women without hypertension at baseline (mean age ± standard deviation: 53.9 ±8.8 years; 88.8% White, 6.4% Black, and 4.9% Hispanic/Latina), 19.9% developed hypertension over a median follow-up of 9.2 years (interquartile range: 7.6 to 10.9). After adjustment, insomnia symptoms (hazard ratio[HR]=1.08 (95% Confidence Interval [CI]: 1.03-1.15)) and insomnia symptoms combined with short sleep (HR=1.14 (95% CI: 1.06-1.23)) were associated with incident hypertension. While similar across race/ethnicity, these associations were stronger in younger (age &lt;54 vs. ≥54 years) and premenopausal vs. postmenopausal women (p-values for interaction &lt;0.05). Conclusion Sleep disturbances related to insomnia were associated with an increased risk of hypertension, especially among younger and premenopausal women. Support This work was funded by the Intramural Program at the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (NIEHS, Z1AES103325-01 [CLJ] and Z01 ES044005 [DPS]).

Sign in / Sign up

Export Citation Format

Share Document