Living alone and cancer mortality by race/ethnicity and socioeconomic status among US working-age adults.

BACKGROUND: Previous studies have shown an association between living alone and cancer mortality; however, findings by sex and race/ethnicity have generally been inconsistent, and data by socioeconomic status are sparse. The association between living alone and cancer mortality by sex, race/ethnicity, and socioeconomic status in a nationally representative US cohort was examined. METHODS: Pooled 1998-2019 data for adults aged 18-64 years at enrollment from the National Health Interview Survey linked to the National Death Index (N = 473,648) with up to 22 years of follow-up were used to calculate hazard ratios (HRs) for the association between living alone and cancer mortality. RESULTS: Compared to adults living with others, adults living alone were at a higher risk of cancer death in the age-adjusted model (HR, 1.32; 95% CI, 1.25-1.39) and after additional adjustments for multiple sociodemographic characteristics and cancer risk factors (HR, 1.10; 95% CI, 1.04-1.16). Age-adjusted models stratified by sex, poverty level, and educational attainment showed similar associations between living alone and cancer mortality, but the association was stronger among non-Hispanic White adults (HR, 1.33; 95% CI, 1.25-1.42) than non-Hispanic Black adults (HR, 1.18; 95% CI, 1.05-1.32; p value for difference < .05) and did not exist in other racial/ethnic groups. These associations were attenuated but persisted in fully adjusted models among men (HR, 1.13; 95% CI, 1.05-1.23), women (HR, 1.09; 95% CI, 1.01-1.18), non-Hispanic White adults (HR, 1.13; 95% CI, 1.05-1.20), and adults with a college degree (HR, 1.22; 95% CI, 1.07-1.39). CONCLUSIONS: In this nationally representative study in the United States, adults living alone were at a higher risk of cancer death in several sociodemographic groups.

Application of a comprehensive disability measure: Disability prevalence among US Veterans and non-veterans from the National Health Interview Survey Data from 2015 to 2018.

BACKGROUND: Current measures of condition-specific disabilities or those capturing only severe limitations may underestimate disability prevalence, including among Veterans. OBJECTIVES: To develop a comprehensive measure to characterize and compare disabilities among US Veterans and non-Veterans. METHODS: Using 2015-2018 pooled cross-sectional National Health Interview Survey data, we compared the frequency and survey-weighted prevalence of non-mutually exclusive sensory, social, and physical disabilities by Veteran status. We developed a measure for and examined the frequency and survey-weighted prevalence of eight mutually exclusive disability categories-sensory only; physical only; social only; sensory and physical; social and sensory; physical and social; and sensory, social, and physical. RESULTS: Among 118,818 NHIS respondents, 11,943 were Veterans. Veterans had a greater prevalence than non-Veterans of non-mutually exclusive physical [52.01% vs. 34.68% (p < 0.001)], sensory [44.47% vs. 21.79% (p < 0.001)], and social [17.20% vs. 11.61% (p < 0.001)] disabilities (after survey-weighting). The most frequently reported mutually exclusive disability categories for both Veterans and non-Veterans were sensory and physical (19.20% and 8.02%, p < 0.001) and physical only (16.24% and 15.69%, p = 0.216) (after survey-weighting). The least frequently reported mutually exclusive disability categories for both Veterans and non-Veterans were social only (0.31% and 0.44%, p = 0.136) and sensory and social (0.32% and 0.20%, respectively, 0.026) (after survey-weighting). CONCLUSIONS: Our disability metric demonstrates that Veterans have a higher disability prevalence than non-Veterans, and a higher prevalence than previously reported. Public policy and future research should consider this broader definition of disability to more fully account for the variable needs of people with disabilities.

Trends and disparities in the prevalence of physical activity among US adults with epilepsy, 2010-2022.

BACKGROUND: Physical activity may be associated with health benefits for people with epilepsy. It remains unclear how the prevalence of physical activity has changed at a national level over the years and whether this prevalence varies between subgroups. METHODS: The National Health and Interview Survey, which was conducted from 2010 to 2017 and again in 2022, was used for our nationally representative study. This study explored the trends and disparities in meeting physical activity guidelines among US individuals with epilepsy and non-epilepsy adults. RESULTS: The prevalence of adults with epilepsy meeting physical activity guidelines was consistently lower and remained unchanged compared to those without epilepsy. Among the population with epilepsy, the prevalence of aerobic physical activity was 38.1 % (95 % CI, 32.6 %-43.5 %) in 2010 and 39.0 % (95 % CI, 33.4 %-44.7 %) in 2017 (P for trend = 0.84), and remained unchanged in 2022 (39.1 %). For muscle-strength training, the prevalence was 17.5 % (95 % CI, 13.3 %-21.7 %) in 2010 and 18.8 % (95 % CI, 14.8 %-22.8 %) in 2017 (P for trend = 0.82). The prevalence for both activities combined was 12.4 % (95 % CI, 8.7 %-16.2 %) in 2010 and 16.6 % (95 % CI, 12.8 %-20.5 %) in 2017 (P for trend = 0.26). The prevalence of aerobic physical activity varied by educational attainment, body mass index, comorbid conditions, alcohol-drinking status, and epilepsy status. CONCLUSION: This study suggests that the adherence rate to meeting physical activity guidelines among US adults with epilepsy was at a low level and had not improved over time. This finding highlights the need for additional nationwide efforts to promote physical activity in the US population with epilepsy.

Prevalence and characteristics in long COVID among adults with asthma in the United States.

OBJECTIVE: The purpose of this study was to assess: (1) the prevalence of long COVID by asthma status, and (2) the characteristics associated with developing long COVID among adults with asthma in the United States. METHODS: Data from the 2022 National Health Interview Survey were used. The prevalence of long COVID was reported and stratified by asthma status. The multivariable logistic regression model was conducted to identify the factors associated with developing long COVID. RESULTS: In 2022, the overall prevalence of long COVID among U.S. adults was 6.9%. When stratified by asthma status, the prevalence of long COVID was 13.9% among adults with asthma, and 6.2% among adults without asthma. Among adults with asthma, certain characteristics, including age over 55 years, female sex, obesity, problems paying medical bills and a history of asthma attacks, were significantly associated with developing long COVID. CONCLUSIONS: This study revealed that the prevalence of long COVID among adults with asthma was much higher than the general adult population in the United States. The limited validity of the collected information in this study should prompt caution when interpreting our findings. Further studies on the association between asthma and long COVID could be valuable for the clinical practice.

Maternal and Perinatal Health Disparities Among Middle Eastern and North African Women and Children in the United States.

INTRODUCTION: Few studies have evaluated the health of Middle Eastern and North African (MENA) women and children in the United States. Objectives were to determine the odds of well-visits, preventive behaviors during pregnancy, and low birthweight among foreign-born non-Hispanic MENA women and children compared to their US- and foreign-born non-Hispanic White counterparts after adjusting for covariates (hereafter, reported as MENA and White). METHODS: We analyzed 2000-2018 National Health Interview Survey data (411,709 women, 311,961 children). Outcomes included well-woman visits (past 12 months); dentist visits (past 6 months) and current smoking among pregnant women; and low, moderately low, and very low birthweight among children. Covariates included age, family income, and health insurance for children. Education and marital status were also evaluated among women. RESULTS: Over half (53.4%) of foreign-born MENA women were of childbearing age (ages 18-45) compared to 47.7% US-born and 43.2% foreign-born White women. The odds of completing a well-women visit were 0.73 times lower (95% CI = 0.38-0.89) among foreign-born MENA women compared to US-born White women after adjusting for age, education, and marital status. There was no statistically significant difference in dental visits between groups. No foreign-born MENA pregnant women reported current smoking. Foreign-born MENA children had higher odds of low (OR = 1.65; 95% CI = 1.16-2.35) and moderately low birthweight (OR = 1.78; 95% CI = 1.19-2.66) compared to US-born White children in adjusted models. DISCUSSION: MENA women and children are classified as White by the federal government. Our results highlight that the health of foreign-born MENA women and children differ from their White counterparts.

Rural-Urban Disparities in Telemedicine Use Among U.S. Adults with Cancer.

Introduction: The COVID-19 pandemic has resulted in significant changes in health care delivery worldwide, including the widespread adoption of telemedicine. This study examines the prevalence of telemedicine use among cancer survivors in the United States based on rurality and investigates its association with telemedicine use. Methods: The 2021 National Health Interview Survey was used to analyze telemedicine use among cancer survivors during the pandemic. Telemedicine use was the primary outcome, and rurality was the main exposure. Descriptive statistics and multiple logistic regression models were used to examine the association. Results: Out of 27,500 eligible cancer survivors, 51.6% reported using telemedicine in 2021. Telemedicine usage varied across rural areas, with 41.4% of rural cancer survivors using telemedicine compared with 57.5% of cancer survivors in large metropolitan areas (p < 0.001). Rural cancer survivors had significantly lower odds of using telemedicine during the pandemic compared with large metropolitan cancer survivors. Cancer survivors residing in rural areas were 0.56 times less likely (odds ratio [OR] = 0.56; 95% confidence interval [CI] = 0.41-0.75), and those residing in medium and small metropolitan areas were 0.69 times less likely (OR = 0.69; 95% CI = 0.56-0.86) to report telemedicine use compared with cancer survivors in large metropolitan areas. Conclusions: Substantial disparities in telemedicine use were observed between rural and urban areas among cancer survivors. Rural cancer survivors were less likely to utilize telemedicine during the COVID-19 pandemic. Ensuring equitable access to telemedicine requires continued reimbursement for telemedicine services, along with additional efforts to improve access to and utilization of health care for rural cancer survivors.

Telemedicine Use Among Adults with Asthma in the United States, 2021-2022.

Introduction: While previous studies have mainly focused on the impact of telemedicine on asthma management, little is known about the disparities in the use of telemedicine among individuals with asthma. This study aimed to investigate the factors associated with telemedicine use among adults with asthma in the United States using a nationally representative survey. Methods: Data from the 2021 and 2022 National Health Interview Survey were used. The multivariable logistic regression model was conducted to identify the factors associated with telemedicine use among adults with asthma. Results: In 2021-2022, the prevalence of telemedicine use among adults with asthma was 47.7%. Females, individuals who were obese, current smokers, those with educational levels of college and higher, health insurance coverage, a usual place for care, a history of asthma attacks, and coronavirus disease 2019 were more likely to use telemedicine. Non-Hispanic blacks, residents in the Midwest, South, and nonmetropolitan areas were less likely to use telemedicine. Conclusions: Disparities in telemedicine use were found among several characteristics in adults with asthma. It is crucial to identify the vulnerable populations in accessing telemedicine and ensure equality in telemedicine use among patients with asthma.

Trends in unmet health care needs among adults in the U.S., 2019-2021.

To examine recent trends in unmet health care needs among US adults, cross-sectional data of 93,047 adults from 2019 to 2021 National Health Interview Survey were analyzed. The weighted prevalence and changes in prevalence of cost-related or COVID-19-related unmet health care needs were estimated, first overall and then stratified by socio-demographic characteristics. The prevalence of cost-related unmet health care needs was 8.3% (95% CI: 7.8%, 8.8%) in 2019, which significantly decreased to 6.6% (95% CI: 6.2%, 7.0%) in 2020 and 6.1% (95% CI: 5.7%, 6.4%) in 2021. Across most socio-demographic groups, the prevalence of cost-related unmet health care needs significantly decreased between 2019 and 2020 (absolute changes ranged from -7.4% to -1%) and between 2019 and 2021 (absolute changes ranged from -10.5% to -1.2%), with significant reductions among uninsured adults, adults below the federal poverty level, and Hispanics. The prevalence of COVID-19-related unmet health care needs was 15.7% (95% CI: 14.9%, 16.4%) in 2020, which decreased to 11.9% (95% CI: 11.5%, 12.4%) in 2021. The prevalence of COVID-19-related unmet health care needs significantly decreased across most socio-demographic groups between 2020 and 2021 (absolute changes ranged from -4.9% to -2.4%), with significant reductions among the older, the unemployed, non-Hispanic Black adults, and adults with education level ≥ college. Overall, a modest decrease in the prevalence of both cost-related and COVID-19-related unmet health care needs was observed between 2019 and 2021. However, the fact that over 10% of US adults had unmet health care needs because of the COVID-19 pandemic is still concerning, warranting continued surveillance.

Factors associated with breast cancer screening services use among women in the United States: An application of the Andersen's Behavioral Model of Health Services Use.

This study applied Andersen's Behavioral Model of Health Services Use to examine predisposing, enabling, and need factors associated with adherence to the United States Preventive Services Task Force (USPSTF) guidelines for breast cancer screening (BCS). Multivariable logistic regression was used to determine factors of BCS services utilization among 5484 women aged 50-74 from the 2019 National Health Interview Survey. Predisposing factors significantly associated with use of BCS services were: being a Black (odds-ratios [OR]:1.49; 95% confidence interval [CI]:1.14-1.95) or a Hispanic woman (OR:2.25; CI:1.62-3.12); being married/partnered (OR:1.32, CI:1.12-1.55); having more than a bachelor's degree (OR: 1.62; CI:1.14-2.30); and living in rural areas (OR:0.72; CI:0.59-0.92). Enabling factors were: poverty level [≤138% federal poverty level (FPL) (OR:0.74; CI:0.56-0.97), >138-250% FPL (OR:0.77; CI:0.61-0.97), and > 250-400% FPL (OR:0.77; CI:0.63-0.94)]; being uninsured (OR:0.29; CI:0.21-0.40); having a usual source of care at a physician office (OR:7.27; CI:4.99-10.57) or other healthcare facilities (OR:4.12; CI:2.68-6.33); and previous breast examination by a healthcare professional (OR:2.10; CI:1.68-2.64). Need factors were: having fair/poor health (OR:0.76; CI:0.59-0.97) and being underweight (OR:0.46; CI:0.30-0.71). Disparities in BCS services utilization by Black and Hispanic women have been reduced. Disparities still exist for uninsured and financially restrained women living in rural areas. Addressing disparities in BCS uptake and improving adherence to USPSTF guidelines may require revamping policies that address disparities in enabling resources, such as health insurance, income, and health care access.

Active epilepsy prevalence among U.S. adults is 1.1% and differs by educational level-National Health Interview Survey, United States, 2021.

This study used the most recent national data from the 2021 National Health Interview Survey (NHIS) to provide updated estimates of the prevalence of active epilepsy (self-reported doctor-diagnosed epilepsy, currently under treatment with antiseizure medicines or had at least 1 seizure in the past 12 months, or both) and inactive epilepsy (self-reported doctor-diagnosed history of epilepsy, not under treatment with antiseizure medicines and with no seizures in the past 12 months) overall and by sex, age groups, race/ethnicity, education level, and health insurance status. In 2021, 1.1% of U.S. adults, (approximately 2,865,000 adults) reported active epilepsy; 0.6% (approximately 1,637,000 adults) reported inactive epilepsy. The prevalence of active epilepsy and inactive epilepsy did not differ by age or sex. Active and inactive epilepsy prevalence differed by educational level. Weighted population estimates are reported for each subgroup (e.g., women; non-Hispanic Blacks) for program or policy development. Although active epilepsy prevalence has remained relatively stable over the past decade, this study shows that more than half of U.S. adults with active epilepsy have ≤high school diploma/GED, which can inform the development and implementation of interventions. Additional monitoring is necessary to examine population trends in active prevalence overall and in subgroups.

The association between chronic conditions, COVID-19 infection, and food insecurity among the older US adults: findings from the 2020-2021 National Health Interview Survey.

BACKGROUND: This study aims to examine how the presence of chronic conditions or positive COVID-19 infection (as exposures) is related to food insecurity (as an outcome) in the older population and whether there is a dose-response relationship between the number of chronic conditions and the severity of food insecurity. METHODS: Cross-sectional data of 17,977 older adults (≥ 65 years) from the 2020-2021 National Health Interview Survey were analyzed. Chronic conditions included physical health conditions (i.e., arthritis, coronary heart diseases, hypertension, stroke, prediabetes, diabetes, asthma, chronic obstructive pulmonary disease, and disability) and mental health conditions (i.e., anxiety and depression disorder). COVID-19 infection status was determined by a self-reported diagnosis of COVID-19. Household food insecurity was measured using the 10-item US Department of Agriculture (USDA) Food Security Survey Module with a 30-day look-back window. Multinomial logistic regression models were used to examine the association between health conditions and food insecurity controlling for socio-demographic factors. RESULTS: Our results indicated that 4.0% of the older adults lived in food-insecure households. The presence of chronic conditions was significantly associated with higher odds of being food insecure independent of socio-demographic factors (AOR ranged from 1.17 to 3.58, all p < 0.0001). Compared with participants with 0-1 chronic condition, the odds of being (low or very low) food insecure was 1.09 to 4.07 times higher for those with 2, or ≥ 3 chronic conditions (all p < 0.0001). The severity of food insecurity significantly increased as the number of chronic conditions increased (p for trend < 0.0001). Besides, COVID-infected participants were 82% more likely to be very low food secure than the non-infected participants (AOR = 1.82, 95% CI: 1.80, 1.84). CONCLUSIONS: The presence of chronic conditions or positive COVID-infection is independently associated with household food insecurity. Clinical health professionals may help identify and assist individuals at risk of food insecurity. Management and improvement of health conditions may help reduce the prevalence and severity of food insecurity in the older population.

The association between the Patient Protection and Affordable Care Act and healthcare affordability among US adults with intellectual disability.

BACKGROUND: Historically, US adults with intellectual disability (ID) experience worse healthcare access than the general population. However, the implementation of the Patient Protection and Affordable Care Act (ACA) may have reduced disparities in healthcare access. METHODS: Using a pre-ACA 2011-2013 sample and a post-ACA implementation 2014-2016 sample from the National Health Interview Survey data, we examined the association between the ACA's introduction and healthcare access among adults with ID (N = 623). Negative binomial regression models were used to test the association between the ACA and the total number of foregone healthcare services. Binary logistic regression was used to explore whether the ACA's implementation was associated with the increased likelihood of possessing health insurance as well as the decreased likelihood of any and particular measures of foregone healthcare services due to cost. RESULTS: The study provides evidence that the ACA's implementation was associated with the decreased likelihood of the total number and any foregone care services owing to cost. Findings also revealed that the ACA's implementation was associated with expansion of health insurance coverage and decreasing instances of foregone care services for medical care, dental care, specialist visit and mental care among adults with ID. However, persons with ID were still at a higher risk of foregone prescription medicines, follow-up medical care and eyeglasses due to cost in the post-ACA years. CONCLUSIONS: The study provides evidence that healthcare access among Americans with ID improved after the ACA's implementation. However, challenges in access to follow-up care, eyeglasses and prescription medicines persist and require policy solutions, which extend beyond the ACA's provisions.

Seeking health information online among U.S. pregnant women: findings from the 2009-2018 National Health Interview Surveys.

Seeking health information online has gained in popularity. However, few studies have investigated seeking health information online among U.S. pregnant women. The aim of this study was to investigate the patterns, trends, and characteristics of pregnant women in the U.S. who seek health information online. We obtained data from the National Health Interview Survey from 2009 to 2018. The study population consisted of women aged 18 to 49 years who self-reported being pregnant. Complex survey weighting and Chi-squared tests were used to evaluate trends and compare characteristics of online users and nonusers. Multivariable logistic regression analyses were used to evaluate characteristics associated with seeking health information online. Significantly more pregnant women sought health information online in 2018 compared to 2009 (72.9 percent, standard error [SE]: 3.3, 95 percent confidence interval [CI]: 66.3 percent-79.5 percent, vs. 60.7 percent, SE: 3.3, 95 percent CI: 54.0 percent-67.4 percent, p < .01). Pregnant women who were identified as white or Black, who had more education, and who had higher incomes were significantly more likely to report seeking health information online. Healthcare providers should actively initiate conversations to address the safety, accuracy, and reliability of online health information for their pregnant patients.

Substance use and mental health burden in head and neck and other cancer survivors: A National Health Interview Survey analysis.

BACKGROUND: Tobacco dependence, alcohol abuse, depression, distress, and other adverse patient-level influences are common in head and neck cancer (HNC) survivors. Their interrelatedness and precise burden in comparison with survivors of other cancers are poorly understood. METHODS: National Health Interview Survey data from 1997 to 2016 were pooled. The prevalence of adverse patient-level influences among HNC survivors and matched survivors of other cancers were compared using descriptive statistics. Multivariable logistic regressions evaluating covariate associations with the primary study outcomes were performed. These included 1) current cigarette smoking and/or heavy alcohol use (>14 drinks per week) and 2) high mental health burden (severe psychological distress [Kessler Index ≥ 13] and/or frequent depressive/anxiety symptoms). RESULTS: In all, 918 HNC survivors and 3672 matched survivors of other cancers were identified. Compared with other cancer survivors, more HNC survivors were current smokers and/or heavy drinkers (24.6% [95% CI, 21.5%-27.7%] vs 18.0% [95% CI, 16.6%-19.4%]) and exhibited a high mental health burden (18.6% [95% CI, 15.7%-21.5%] vs 13.0% [95% CI, 11.7%-14.3%]). In multivariable analyses, 1) a high mental health burden predicted for smoking and/or heavy drinking (odds ratio [OR], 1.4; 95% CI, 1.0-1.9), and 2) current cigarette smoking predicted for a high mental health burden (OR, 1.7; 95% CI, 1.2-2.3). Furthermore, nonpartnered marital status and uninsured/Medicaid insurance status were significantly associated with both cigarette smoking and/or heavy alcohol use (ORs, 1.9 [95% CI, 1.4-2.5] and 1.5 [95% CI, 1.0-2.1], respectively) and a high mental health burden (ORs, 1.4 [95% CI, 1.1 -1.8] and 3.0 [95% CI, 2.2-4.2], respectively). CONCLUSIONS: Stakeholders should allocate greater supportive care resources to HNC survivors. The interdependence of substance abuse, adverse mental health symptoms, and other adverse patient-level influences requires development of novel, multimodal survivorship care interventions.

US hysterectomy prevalence by age, race and ethnicity from BRFSS and NHIS: implications for analyses of cervical and uterine cancer rates.

PURPOSE: Previous reports of gynecologic cancer rates have adjusted for hysterectomy prevalence with data from the Behavioral Risk Factor Surveillance System (BRFSS) or the National Health Interview Survey (NHIS). We sought to determine if BRFSS and NHIS produce similar estimates of hysterectomy prevalence. METHODS: Using data from BRFSS and NHIS, we calculated hysterectomy prevalence for women aged 20-79 years, stratified by 10-year age groups, survey year (2010, 2018), and race/ethnicity (Hispanic, non-Hispanic American Indian or Alaskan Native, non-Hispanic Asian, non-Hispanic Black, non-Hispanic White, non-Hispanic all other race groups). RESULTS: BRFSS and NHIS produced similar increasing trends in hysterectomy prevalence by age and directional differences by race and ethnicity. Fewer than 2% of women aged 20-29 years and more than 4 out of 10 women aged 70-79 years reported having had a hysterectomy. CONCLUSION: Our analyses suggest adjustment for hysterectomy prevalence with data from either survey would likely reduce distortion in cervical and uterine cancer rates. BRFSS, a survey which has a larger sample size than NHIS, may better support analyses of hysterectomy estimates for smaller subpopulations.

Trends and biopsychosocial correlates of physical disabilities among older men and women in Taiwan: examination based on ADL, IADL, mobility, and frailty.

BACKGROUND: This study examines correlates of disabilities related to ADL, IADL, mobility, and frailty in men and women with a nationally representative sample of older adults living in the community. METHODS: A total of 10,898 noninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the 2001 (N = 2,064), 2005 (N = 2,727), 2009 (N = 2,904), and 2013 (N = 3,203) National Health Interview Survey (NHIS) were analyzed. RESULTS: The prevalence of mobility disabilities and frailty in older adults in Taiwan decreased during the past decade ([Formula: see text], [Formula: see text]). Exercise, social engagement, and tea and coffee intake were found to be associated with lower levels of all types of disabilities in both men and women. In addition, a diet based on carbohydrates, falls, depressive symptomatology, lung and metabolic diseases were risks for most of the disabilities under consideration. Gender-specific independent correlates included: being married (OR = 0.63, 95%CI: 0.40-0.98), eggs/beans/fish/meat consumption (OR = 0.35, 95% CI = 0.16-0.80); depressive symptoms, obesity and cataracts, which were associated with higher IADL (OR = 3.61, 1.63, and 1.18, respectively) and frailty limitations (OR = 10.89, 1.27, and 1.20, respectively) in women. Cognitive impairment was found to be an important correlate for ADL limitations in men (OR = 3.64, 95%CI: 2.38-5.57). CONCLUSIONS: Exercise, social participation and diet (more tea and coffee intake and lower carbohydrates) were correlates for lower levels of disability. Some gender-specific correlates were also identified, including associations of disability with depressive symptoms, obesity, and cataracts that were more distinct in women, and lower levels of disability which were especially significant in men who were married, eat more eggs, beans, fish, and meat, and those free from cognitive impairment.

Self-reported chronic kidney disease and the risk of all-cause and cause-specific mortality: outcome-wide association study of 54 causes of death in the National Health Interview Survey.

BACKGROUND: A diagnosis of chronic kidney disease has been strongly associated with cardiovascular disease and mortality in a number of studies, but the association with specific causes of death has not been assessed in detail. We analysed the association between chronic kidney disease and all-cause mortality and 54 causes of death in the National Health Interview Survey, a prospective study of 210,748 US adults. METHODS: We used multivariable Cox regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality associated with self-reported chronic kidney disease. Men and women aged 18-84 years were recruited between 1997 and 2004 and followed up for mortality through December 31, 2006. RESULTS: During an average of 6 years follow-up, 9564 deaths occurred. A history of chronic kidney disease vs. no chronic kidney disease was associated with increased risk of all-cause mortality (HR = 2.69, 95% CI: 2.38-3.04), and mortality from septicemia (5.65, 2.84-11.25), viral hepatitis (10.67, 2.43-46.95), other infectious parasitic diseases (10.58, 3.59-31.21), total cancer (1.48, 1.05-2.09), lung cancer (1.94, 1.10-3.44), kidney cancer (4.74, 1.81-12.41), diabetes mellitus (8.57, 5.60-13.11), circulatory disease overall (3.36, 2.70-4.18) and 11 specific circulatory diseases with the strongest associations observed for primary hypertension/renal disease (13.60, 6.42-28.84), hypertensive heart/renal disease (10.72, 2.47-46.49), and other diseases of circulatory system (7.36, 3.22-16.81). Elevated risk was also observed for alcoholic liver disease (5.63, 1.90-16.66), other chronic liver disease (4.41, 1.74-11.17), kidney failure (13.07, 8.23-20.77), and five other causes of death. CONCLUSIONS: A history of chronic kidney disease was associated with increased risk of all-cause mortality and 27 out of 54 causes of death. Further studies are needed to clarify associations with less common causes of death.

Estimating life expectancy adjusted by self-rated health status in the United States: national health interview survey linked to the mortality.

BACKGROUND: Life expectancy is increasingly incorporated in evidence-based screening and treatment guidelines to facilitate patient-centered clinical decision-making. However, life expectancy estimates from standard life tables do not account for health status, an important prognostic factor for premature death. This study aims to address this research gap and develop life tables incorporating the health status of adults in the United States. METHODS: Data from the National Health Interview Survey (1986-2004) linked to mortality follow-up through to 2006 (age ≥ 40, n = 729,531) were used to develop life tables. The impact of self-rated health (excellent, very good, good, fair, poor) on survival was quantified in 5-year age groups, incorporating complex survey design and weights. Life expectancies were estimated by extrapolating the modeled survival probabilities. RESULTS: Life expectancies incorporating health status differed substantially from standard US life tables and by health status. Poor self-rated health more significantly affected the survival of younger compared to older individuals, resulting in substantial decreases in life expectancy. At age 40 years, hazards of dying for white men who reported poor vs. excellent health was 8.5 (95% CI: 7.0,10.3) times greater, resulting in a 23-year difference in life expectancy (poor vs. excellent: 22 vs. 45), while at age 80 years, the hazards ratio was 2.4 (95% CI: 2.1, 2.8) and life expectancy difference was 5 years (5 vs. 10). Relative to the US general population, life expectancies of adults (age < 65) with poor health were approximately 5-15 years shorter. CONCLUSIONS: Considerable shortage in life expectancy due to poor self-rated health existed. The life table developed can be helpful by including a patient perspective on their health and be used in conjunction with other predictive models in clinical decision making, particularly for younger adults in poor health, for whom life tables including comorbid conditions are limited.

Psychological distress as a risk factor for all-cause, chronic disease- and suicide-specific mortality: a prospective analysis using data from the National Health Interview Survey.

PURPOSE: The risk psychological distress (PD) confers on mortality due to specific chronic diseases compared to suicide is unclear. Using the National Health Interview Survey (NHIS), we investigated the association between PD levels and risk of all-cause and chronic disease-specific mortality and compared the contribution of chronic disease-related mortality to that of suicide. METHODS: Data from 195, 531 adults, who participated in the NHIS between 1997 and 2004, were linked to the National Death Index records through to 2006. Multivariable Cox regression models were used to estimate hazard ratios (HRs) and their 95% confidence intervals (CIs) across four levels of PD, measured using the Kessler-6 scale. Outcomes included all-cause mortality, and mortality due to all CVDs and subtypes, all cancers and subtypes, diabetes mellitus, alcoholic liver disease and suicide. RESULTS: During a mean follow-up time of 5.9 years, 7665 deaths occurred. We found a dose-response association between levels of PD and all-cause mortality, with the adjusted HRs (95% CI) elevated for all levels of PD, when compared to asymptomatic levels: subclinical 1.10 (1.03-1.16), symptomatic 1.36 (1.26-1.46) and highly symptomatic 1.57 (1.37-1.81). A similar association was found for all CVDs and certain CVD subtypes, but not for cancers, cerebrovascular diseases diabetes mellitus. Excess mortality attributable to suicide and alcoholic liver disease was evident among those with levels of PD only. CONCLUSION: PD symptoms, of all levels, were associated with an increased risk of all-cause and CVD-specific mortality while higher PD only was associated with suicide. These findings emphasise the need for lifestyle interventions targeted towards improving physical health disparities among those with PD.

Paid sick leave among US private sector employees.

BACKGROUND: Inequities in US employees' access to paid sick leave are known, but it is not clear whether they are increasing or decreasing over time. More than two dozen state and local paid sick leave laws were recently enacted, many with the stated goal of reducing inequities in access to paid sick leave. We examined how inequities in access to paid sick leave have changed over time, focusing on the years when these laws were coming into effect. METHODS: Private sector employees participating in the National Health Interview Survey between 2006 (before laws came into effect) and 2018 (after most came into effect) reported if they had paid sick leave in their main job. We examined how differences in access to paid sick leave by Census region, race/ethnicity, work hours, and educational attainment changed over time. RESULTS: The percentage of employees with access to paid sick leave increased from 56% in 2006 to 61% in 2018, with most of the increases in access occurring in the West. Inequities by race/ethnicity decreased substantially between 2015 and 2018, the years when most paid sick leave laws came into effect. This change was driven by Hispanic and Latino workers rapidly gaining access to paid sick leave during this time. Differences in access to paid sick leave by work hours and education attainment remained stable over time. CONCLUSIONS: Inequities in access to paid sick leave remain. Paid sick leave laws could be effective means to increase access to paid sick leave and equalize access.