Caregiving-Related Work Productivity Loss Among Employed Family and Other Unpaid Caregivers of Older Adults.

OBJECTIVES: Although nearly half of all family and unpaid caregivers to older adults work, little is known about short-term work impacts of caregiving using measures encompassing both missed work time and reduced productivity while physically at work. We quantify the prevalence, costs, and correlates of caregiving-related work productivity loss. METHODS: We used the 2015 National Study of Caregiving and National Health and Aging Trends Study to estimate caregiving-related work absences (absenteeism) and reduced productivity while at work (presenteeism). We calculated costs of lost productivity using hours lost, compensation, and a wage multiplier, accounting for the additional cost of replacing employee time. We examined correlates of caregiving-related absenteeism and presenteeism separately, using multivariable logistic regression models, adjusting for caregiver sociodemographic characteristics, occupation and hours worked, role overload, older adult health, use of respite care, support groups, flexible workplace schedules, help from family or friends, and caregiver training. RESULTS: Nearly 1 in 4 (23.3%) of the estimated 8.8 million employed family caregivers reported either absenteeism or presenteeism over a 1-month period owing to caregiving. Among those affected, caregiving reduced work productivity by one-third on average-or an estimated $5600 per employee when annualized across all employed caregivers-primarily because of reduced performance while present at work. Productivity loss was higher among caregivers of older adults with significant care needs and varied according to sociodemographic characteristics and caregiver supports. CONCLUSIONS: Findings emphasize the potential economic value of targeted policy intervention to support working caregivers.

The relationship between older adults' technology use, in-person engagement, and pandemic-related mental health.

OBJECTIVE: The objectives of this study are to 1) describe changes in in-person communication/activity and changes in older adult technology use during the COVID-19 pandemic and 2) examine whether less in-person communication/activity mediates the relationship between pandemic-related mental health and technology use. METHOD: Linear regressions (stratified by age and financial strain) and structural equation modeling were employed using a nationally representative, cross-sectional survey of 3,188 older adults from the 2020 National Health and Aging Trends Study's COVID-19 Questionairre. RESULTS: Older adults engaged in more technology-based activity (b = 0.24; p<.001), more technology-based health care communication (b = 0.22; p<.001), and more technology-based food acquisition (b = 0.21; p<.001) during the COVID-19 pandemic, as compared to before the pandemic. Results indicate that adults <80 years old demonstrated greater increases in technology-based activity, technology-based health communication, and technology-based food acquisition, compared to adults ≥80 years old. Change in in-person communication significantly mediated the relationship between pandemic-related mental health and technology-based communication (standardized coefficient= -0.012; p=.005), and change in in-person activity significantly mediated the relationship between pandemic-related mental health and technology-based activity (standardized coefficient= -0.017; p=.020). CONCLUSIONS: This study suggests that older adults are utilizing technology more, and therefore should be considered in technology design and dissemination. Technology use could be an important positive response to help those with pandemic related worries stay safely engaged with friends and family. Technologies should be produced that are modifiable for older adults with disabilities and affordable for older adults with fixed incomes.

Propensity score weighted associations between financial strain and subsequent inflammatory biomarkers of aging among a representative sample of U.S. older adults.

BACKGROUND: Despite known socioeconomic disparities in aging-related outcomes, the underlying physiologic mechanisms are understudied. This study applied propensity score weighting to estimate the effect of financial strain on inflammation-related aging biomarkers among a national sample of older adults. METHODS: Financial strain severe enough to lack money for housing, utilities, medical/prescription bills or food was measured among 4,593 community-dwelling National Health and Aging Trends Study participants aged ≥ 65 years in 2016. Inverse probability propensity score weights were generated based on 2015 background characteristics, including age, gender, race/ethnicity, income to poverty ratio, education, occupation, home ownership, retirement, Sect. 8 housing, Medicaid, food/energy assistance, childhood health, marital status, and U.S. region. Sampling weights additionally accounted for study design and non-response. RESULTS: In propensity score-weighted analyses adjusting for age, gender, race/ethnicity, 2017 income to poverty ratio and education, those with 2016 financial strain had 15% higher IL-6 (p = 0.026) and 20% higher CRP levels (p = 0.002) in 2017 than those who were not strained, but did not differ with regard to hemoglobin A1c or CMV. In weighted comparisons, those with financial strain did not differ from those without with regard any 2015 background characteristics. CONCLUSIONS: These results strengthen the etiologic evidence suggesting that financial strain increases inflammatory biomarkers among older adults. Importantly, inflammation is likely a key physiologic pathway contributing to socioeconomic disparities. Therefore, research is needed to address financial strain.

Supplemental nutrition assistance program 2009 expansion and cardiometabolic markers among low-income adults.

A 2009 Supplemental Nutrition Assistance Program (SNAP) policy change that expanded eligibility and increased benefit amounts has been associated with reduced food insecurity. This study tests the hypothesis that the SNAP policy change corresponds with improved stress- and nutrition-sensitive cardiometabolic markers. This study included non-pregnant participants aged 18-59 with annual family incomes ≤185% of the federal poverty guideline from the repeated cross-sectional NHANES study. Those living in SNAP eligible households (income ≤130% of the poverty guideline) were compared to those who were likely non-eligible (income 131%-≤185%). Difference-in-differences analyses compared hemoglobin A1c (%), CRP (mg/dL), total cholesterol (mg/dL), LDL (mg/dL) and waist circumference (cm) across groups before (2007-2008) and after (2009-2010) the SNAP policy change. Sampling weights were applied. Adjusting for demographic, socioeconomic, household and health factors, there were statistically significant difference-in-differences estimates for hemoglobin A1c (p = 0.003, n = 3723) and total cholesterol (p = 0.028, n = 3710). SNAP eligible adults had no difference in hemoglobin A1c after the policy change and, among those less than 40 years of age, 5 mg/dL lower total cholesterol levels whereas likely non-SNAP eligible adults had 0.14% higher hemoglobin A1c and no difference in total cholesterol after the policy change. The 2009 SNAP expansion was associated with improved nutrition-sensitive cardiometabolic markers in SNAP-eligible adults. This study found less of an upward trend in hemoglobin A1c levels for young and middle aged adults and decreased total cholesterol for young adults. These results highlight the potential role of SNAP to prevent costly chronic conditions among low-income U.S. adults.

Neighborhood Characteristics and Cardiovascular Biomarkers in Middle-Aged and Older Adults: the Baltimore Memory Study.

Neighborhood greenness has been linked to better cardiovascular health, but little is known about its association with biomarkers related to cardiovascular risk. Adverse neighborhood conditions, such as disorder and socioeconomic disadvantage, are associated with higher cardiovascular biomarker levels, but these relationships may differ in neighborhoods with more greenness. This study evaluated cross-sectional associations of validated measures of neighborhood greenness, disorder, and socioeconomic disadvantage with cardiovascular biomarkers in middle-aged and older adults living in Baltimore City. The sample included 500 adults, aged 57-79 years, enrolled in the Baltimore Memory Study and living in Baltimore City during 2009-2010. Multi-level log-gamma regressions examined associations between the three neighborhood characteristics and seven cardiovascular biomarkers. Models additionally evaluated the effect modification by neighborhood greenness on associations of neighborhood disorder and socioeconomic disadvantage with the biomarkers. Adjusting for covariates and neighborhood greenness, greater neighborhood disorder was associated with higher C-reactive protein (exp ß = 1.21, SE = 0.11, p = 0.035) and serum amyloid A (exp ß = 1.28, SE = 0.12, p = 0.008), while greater neighborhood socioeconomic disadvantage was associated with higher tumor necrosis factor alpha (exp ß = 1.24, SE = 0.12, p = 0.019). Higher neighborhood greenness was associated with lower soluble vascular cell adhesion molecule-1, accounting for disorder (exp ß = 0.70, SE = 0.10, p = 0.010) and socioeconomic disadvantage (exp ß = 0.73, SE = 0.10, p = 0.025). There was no evidence of effect modification among neighborhood characteristics. The findings suggest that neighborhood effects on cardiovascular health may be mediated through cardiovascular biomarker levels, and that socioeconomic disadvantage, disorder, and greenness may each be important features of neighborhoods.

Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors.

BACKGROUND: Communities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated economic, housing, transit, population health and health care characteristics. METHODS: Six-month cumulative coronavirus incidence and mortality were examined using adjusted negative binomial models among all U.S. counties (n = 3142). County-level independent variables included percentages in poverty and within racial/ethnic groups (Black, Hispanic, Native American, Asian), and rates of unemployment, lacking a high school diploma, housing cost burden, single parent households, limited English proficiency, diabetes, obesity, smoking, uninsured, preventable hospitalizations, primary care physicians, hospitals, ICU beds and households that were crowded, in multi-unit buildings or without a vehicle. RESULTS: Counties with higher percentages of Black (IRR = 1.03, 95% CI: 1.02-1.03) or Hispanic (IRR = 1.02, 95% CI: 1.01-1.03) residents had more coronavirus cases. Counties with higher percentages of Black (IRR = 1.02, 95% CI: 1.02-1.03) or Native American (IRR = 1.02, 95% CI: 1.01-1.04) residents had more deaths. Higher rates of lacking a high school diploma was associated with higher counts of cases (IRR = 1.03, 95% CI: 1.01-1.05) and deaths (IRR = 1.04, 95% CI: 1.01-1.07). Higher percentages of multi-unit households were associated with higher (IRR = 1.02, 95% CI: 1.01-1.04) and unemployment with lower (IRR = 0.96, 95% CI: 0.94-0.98) incidence. Higher percentages of individuals with limited English proficiency (IRR = 1.09, 95% CI: 1.04-1.14) and households without a vehicle (IRR = 1.04, 95% CI: 1.01-1.07) were associated with more deaths. CONCLUSIONS: These results document differential pandemic impact in counties with more residents who are Black, Hispanic or Native American, highlighting the roles of residential racial segregation and other forms of discrimination. Factors including economic opportunities, occupational risk, public transit and housing conditions should be addressed in pandemic-related public health strategies to mitigate disparities across counties for the current pandemic and future population health events.

Community-dwelling older adults who are low-income and disabled weathering financial challenges.

Despite interventions aiming to improve outcomes among older adults experiencing financial challenges, the challenges and strategies employed to handle them are poorly understood. This study examined the experiences of financial challenges among low-income adults aged ≥65 years. Eleven semi-structured interviews were analyzed using thematic analyses. An overarching theme was "I guess it balances", capturing attempts to maintain hope and proactively address challenges despite stress, uncertainty and limitations. Balancing was demonstrated within four domains, including cognitive bandwidth ("think a lot" versus "I don't dwell on that"), emotional experience ("depressing" versus "be thankful"), learned resilience ("that was a shock" versus "there's always a way"), and meeting daily needs ("we learned to do without" versus "take a dollar and stretch it"). Participants described being weathered by challenges and using predominately high-effort coping strategies to weather the challenges. These findings call for strengthening the safety net for older adults facing financial challenges.

Socioeconomic disparities in six-year incident dementia in a nationally representative cohort of U.S. older adults: an examination of financial resources.

BACKGROUND: Less educational training is consistently associated with incident dementia among older adults, but associations between income and financial strain with incident dementia have not been well tested in national samples. This is an important gap because, like education, financial resources are potentially modifiable by policy change and strengthening the social safety net. This study tested whether financial resources (income and financial strain) predict six-year incident dementia independent of education and occupation. METHODS: The National Health and Aging Trends Study is a prospective cohort study that recruited a nationally representative sample of U.S. Medicare beneficiaries aged ≥65 years. Incident dementia (2013 to 2018) was classified based on diagnosis, cognitive test scores or proxy-reported changes among participants dementia-free in 2012 (n = 3785). Baseline socioeconomic measures included income to poverty ratio (analyzed separately for those < 500% vs. ≥500% poverty threshold), financial strain, education and history of professional occupation. Discrete time survival analysis applied survey weights to account for study design and nonresponse. Coefficients were standardized to compare the strength of associations across the four socioeconomic measures. RESULTS: Adjusting for socioeconomic measures, demographic characteristics, home ownership, retirement, chronic conditions, smoking, BMI and depressive symptoms, higher income (hazard OR = 0.84, 95% CI: 0.74, 0.95 among those < 500% poverty) and higher education (hOR = 0.73, 95% CI: 0.65, 0.83) were associated with lower odds, and financial strain with higher odds (hOR = 1.20, 95% CI: 1.09, 1.31), of incident dementia. CONCLUSION: Low income and greater financial strain predict incident dementia among older adults and associations are comparable to those of low education among U.S. older adults. Interventions to mitigate financial strain through improving access to economic opportunity and strengthening safety net programs and improving access to them in low income groups may complement other ongoing efforts to prevent dementia.

Nurse practitioners' workforce outcomes under implementation of full practice authority.

BACKGROUND: Full practice authority laws that permit nurse practitioners (NPs) to practice independently and prescribe medications may influence NPs' workforce outcomes. PURPOSE: To examine whether implementation of full practice authority laws affect NP self-employment, average earnings, and likelihood of residing in a primary care health professional shortage area (HPSA). METHODS: A nationally representative U.S. sample of 9,782 NPs employed in health care during 2010 to 2018 was drawn from the American Community Survey. Difference-in-differences regression was used to estimate covariate-adjusted mean differences in NPs' workforce outcomes after full practice authority implementation. FINDINGS: Among full-time employed NPs, full practice authority was associated with an increased probability of residing in a HPSA (adjusted odds ratio [aOR]:2.34, 95%CI 1.14, 4.83) and with a higher mean probability of self-employment (aOR:4.97, 95%CI 1.00, 24.86). DISCUSSION: Full practice authority implementation improves access to primary care providers in health professional shortage areas and may increase practice ownership among NPs.

Association of sex, age and education level with patient reported outcomes in atrial fibrillation.

BACKGROUND: In atrial fibrillation (AF), there are known sex and sociodemographic disparities in clinical outcomes such as stroke. We investigate whether disparities also exist with respect to patient-reported outcomes. We explored the association of sex, age, and education level with patient-reported outcomes (AF-related quality of life, symptom severity, and emotional and functional status). METHODS: The PaTH AF cohort study recruited participants (N = 953) with an AF diagnosis and age ≥ 18 years across 4 academic medical centers. We performed longitudinal multiple regression with random effects to determine if individual characteristics were associated with patient-reported outcomes. RESULTS: Women reported poorer functional status (ß - 2.23, 95% CI: -3.52, - 0.94) and AF-related quality of life (ß - 4.12, 95% CI: -8.10, - 0.14), and higher symptoms of anxiety (ß 2.08, 95% CI: 0.76, 3.40), depression (ß 1.44, 95% CI: 0.25, 2.63), and AF (ß 0.29, 95% CI: 0.08, 0.50). Individuals < 60 years were significantly (p < 0.05) more likely to report higher symptoms of depression, anxiety, and AF, and poorer AF-related quality of life. Lack of college education was associated with reporting higher symptoms of AF (ß 0.42, 95% CI: 0.17, 0.68), anxiety (ß 1.86, 95% CI: 0.26, 3.45), and depression (ß 1.11, 95% CI: 0.15, 2.38), and lower AF-related quality of life (ß - 4.41, 95% CI: -8.25, - 0.57) and functional status. CONCLUSION: Women, younger adults, and individuals with lower levels of education reported comparatively poor patient-reported outcomes. These findings highlight the importance of understanding why individuals experience AF differently based on certain characteristics.

Food assistance is associated with decreased nursing home admissions for Maryland's dually eligible older adults.

BACKGROUND: Although it has long been known that a broad range of factors beyond medical diagnoses affect health and health services use, it has been unclear whether additional income can decrease health service use. We examined whether Supplemental Nutrition Assistance Program (SNAP) receipt is associated with subsequent nursing home entry among low income older adults. METHODS: We examined the 77,678 older adults dually eligible for Medicaid and Medicare in Maryland, 2010-2012. Zero inflated negative binomial regression, adjusting for demographic and health factors, tested the association of either lagged SNAP enrollment or lagged benefit amount with nursing home admission. We used Heckman two-step model results to calculate potential savings of SNAP enrollment through reduced nursing home admissions and reduced duration. RESULTS: Only 53.4% received SNAP in 2012, despite being income-eligible. SNAP participants had a 23% reduced odds of nursing home admission than nonparticipants (95% CI: 0.75-0.78). For SNAP participants, an additional $10 of monthly SNAP assistance was associated with lower odds of admission (OR = 0.93, 95% CI: 0.93-0.93), and fewer days stay among those admitted (IRR = 0.99, 95% CI: 0.98-0.99). Providing SNAP to all 2012 sample nonparticipants could be associated with $34 million in cost savings in Maryland. CONCLUSIONS: SNAP is underutilized and may reduce costly nursing home use among high-risk older adults. This study has policy implications at the State and Federal levels which include expanding access to SNAP and enhancing SNAP amounts.

Social engagement and chronic disease risk behaviors: the Multi-Ethnic Study of Atherosclerosis.

OBJECTIVE: Although engagement in social networks is important to health, multiple different dimensions exist. This study identifies which dimensions are associated with chronic disease risk behaviors. METHODS: Cross-sectional data on social support, loneliness, and neighborhood social cohesion from 5381 participants, aged 45-84 from the Multi-Ethnic Study of Atherosclerosis was used. RESULTS: After adjusting for individual characteristics and all social engagement variables, social support was associated with lower smoking prevalence (PR=0.88, 95% CI: 0.82, 0.94), higher probability of having quit (PR=1.03, 95% CI: 1.01, 1.06) and a slightly higher probability of achieving physical activity recommendations (PR=1.03, 95% CI: 1.01, 1.06). Neighborhood social cohesion was associated with very slightly higher probability of achieving recommended (PR=1.03, 95% CI: 1.01, 1.05) or any regular (PR=1.0, 95% CI: 1.01, 1.04) physical activity, and a higher probability of consuming at least five daily fruit and vegetable servings (PR=1.05, 95% CI: 1.01, 1.09). CONCLUSIONS: Both social support and neighborhood social cohesion, a less commonly considered aspect of social engagement, appear to be important for chronic disease prevention interventions and likely act via separate pathways.

Depression and oxidative stress: results from a meta-analysis of observational studies.

OBJECTIVE: To perform a systematic review and meta-analysis that quantitatively tests and summarizes the hypothesis that depression results in elevated oxidative stress and lower antioxidant levels. METHODS: We performed a meta-analysis of studies that reported an association between depression and oxidative stress and/or antioxidant status markers. PubMed and EMBASE databases were searched for articles published from January 1980 through December 2012. A random-effects model, weighted by inverse variance, was performed to pool standard deviation (Cohen's d) effect size estimates across studies for oxidative stress and antioxidant status measures, separately. RESULTS: Twenty-three studies with 4980 participants were included in the meta-analysis. Depression was most commonly measured using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria. A Cohen's d effect size of 0.55 (95% confidence interval = 0.47-0.63) was found for the association between depression and oxidative stress, indicating a roughly 0.55 of 1-standard-deviation increase in oxidative stress among individuals with depression compared with those without depression. The results of the studies displayed significant heterogeneity (I(2) = 80.0%, p < .001). A statistically significant effect was also observed for the association between depression and antioxidant status markers (Cohen's d = -0.24, 95% confidence interval = -0.33 to -0.15). CONCLUSIONS: This meta-analysis observed an association between depression and oxidative stress and antioxidant status across many different studies. Differences in measures of depression and markers of oxidative stress and antioxidant status markers could account for the observed heterogeneity. These findings suggest that well-established associations between depression and poor heath outcomes may be mediated by high oxidative stress.

Community-based cardiovascular health interventions in vulnerable populations: a systematic review.

BACKGROUND: Although cardiovascular health has been improving for many Americans, this is not true of those in "vulnerable populations." To address this growing disparity, communities and researchers have worked for decades, and as a result of their work, a growing body of literature supports the use of community engagement as a component of successful interventions. However, little literature synthesizes community-based interventions that address this disparity among a wide range of vulnerable populations. OBJECTIVE: This article provides a critical review of community-based cardiovascular disease interventions to improve cardiovascular health behaviors and factors among vulnerable populations based on the American Heart Association's 7 metrics of ideal cardiovascular health. METHODS: In February 2011, 4 databases (PubMed, PsychInfo, CINAHL, and Scopus) were searched using the following keywords: vulnerable populations OR healthcare disparities AND cardiovascular disease AND clinical trials OR public health practice AND English. RESULTS: This search strategy resulted in the retrieval of 7120 abstracts. Each abstract was reviewed by at least 2 authors, and eligibility for the systematic review was confirmed after reading the full article. Thirty-two studies met eligibility criteria. Education was the most common intervention (41%), followed by counseling or support (38%) and exercise classes (28%). Half of the interventions were multicomponent. Healthcare providers were the most frequent interventionists. Interventions aimed at decreasing blood pressure were the most promising, whereas behavior change interventions were the most challenging. Almost all of the interventions were at the individual level and were proof-of-concept or efficacy trials. CONCLUSIONS: This analysis provides a step toward understanding the current literature on cardiovascular interventions for vulnerable population. The next step should be integrating the identified successful interventions into larger health systems and/or social policies.

Vision impairment and food insecurity in the national health and aging trends study.

Introduction: Vision impairment (VI) may further exacerbate older adults' vulnerability to experiencing food insecurity and may be a unique and important target for policies addressing access to nutritional food. The purpose of this study is to determine the association of VI in older adults with food insecurity. Methods: This is a cross-sectional analysis of round 11 (2021) of the National Health and Aging Trends Study (NHATS), a nationally representative survey of U.S. Medicare beneficiaries ages 65 and older. Participants include 2,815 older adults with complete data on at least one objective measure of vision (distance, near or contrast sensitivity) and food insecurity. Food insecurity was assessed using a previously developed indicator of food insecurity in NHATS. VI was defined as binocular visual acuity (VA) worse than 0.3 logMAR (Snellen equivalent 20/40) at distance or its near equivalent, or contrast sensitivity (CS) worse than 1.55 logUnits. Continuous VI measures included distance and near VA (per 0.1 logMAR), and CS (per 0.1 logCS). Results: Participants were majority White (82%) and female (55%), and 3% had food insecurity. Older adults with any VI had a greater prevalence of food insecurity than adults without VI (5.0% vs. 2.0%, p < 0.05). In fully adjusted regression analyses, individuals with any VI experienced double the odds of food insecurity than individuals without VI (OR: 2.1, 95% CI: 1.2-3.6). Distance VI (measured continuously) was associated with 1.2 times the odds of food insecurity (OR = 1.2; 95% CI: 1.0-1.3, per 0.1 logMAR). All other vision measures trended towards higher odds of food insecurity, though not statistically significant. Discussion: Older adults with VI experience higher rates of food insecurity than their peers. Interventions to improve food security should be targeted towards addressing the specific barriers faced by visually impaired older adults.

Social Factors and Older Adults' Use of Wearable Activity Trackers: Before and During the First Wave of the COVID-19 Pandemic.

Wearable activity trackers (WAT) have shown high potential to improve health in the aging population. Evidence links various social factors with WAT use in older adults, but mainly within small samples and the prevalence of their WAT use during the COVID-19 is unknown. We reported WAT use prevalence before and during the first wave of COVID-19 and examined social factors associated with WAT use frequency using a nationally representative sample of 3302 U.S. older adults. We used Multinomial Logistic Regression to identify social factors associated with WAT use frequency. Only 10.3% of pre-COVID-19 and 10.9% of first-wave subsamples were frequent WAT users. Older adults aged 75 and above and those with low incomes were less likely to frequently use WATs. Our findings suggest socioeconomic and age disparities in WAT use among older Americans. Future studies should focus on enhancing low-income older adults' WAT adoption to enable equal access to WAT-related health benefits.

Using rapid response system trigger clusters to characterize patterns of clinical deterioration among hospitalized adult patients.

BACKGROUND: Many rapid response system (RRS) events are activated using multiple triggers. However, the patterns in which multiple RRS triggers occur together to activate RRS events are unknown. The purpose of this study was to identify these patterns (RRS trigger clusters) and determine their association with outcomes among hospitalized adult patients. METHODS: RRS events among adult patients from January 2015 to December 2019 in the Get With The Guidelines- Resuscitation registry's MET module were examined (n = 134,406). Cluster analysis methods were performed to identify RRS trigger clusters. Pearson's chi-squared and ANOVA tests were used to examine differences in patient characteristics across RRS trigger clusters. Multilevel logistic regressions were used to examine the associations between RRS trigger clusters and outcomes. RESULTS: Six RRS trigger clusters were identified. Predominant RRS triggers for each cluster were: tachypnea, new onset difficulty in breathing, decreased oxygen saturation (Cluster 1); tachypnea, decreased oxygen saturation, staff concern (Cluster 2); respiratory depression, decreased oxygen saturation, mental status changes (Cluster 3); tachycardia, staff concern (Cluster 4); mental status changes (Cluster 5); hypotension, staff concern (Cluster 6). Significant differences in patient characteristics were observed across clusters. Patients in Clusters 3 and 6 had an increased likelihood of in-hospital cardiac arrest (p < 0.01). All clusters had an increased risk of mortality (p < 0.01). CONCLUSIONS: We discovered six novel RRS trigger clusters with differing relationships to adverse patient outcomes. RRS trigger clusters may prove crucial in clarifying the associations between RRS events and adverse outcomes and aiding in clinician decision-making during RRS events.

"Hang Ups, Let Downs, Bad Breaks, Setbacks": Impact of Structural Socioeconomic Racism and Resilience on Cognitive Change Over Time for Persons Racialized as Black.

Introduction: Older adults racialized as Black experience higher rates of dementia than those racialized as White. Structural racism produces socioeconomic challenges, described by artist Marvin Gaye as "hang ups, let downs, bad breaks, setbacks" that likely contribute to dementia disparities. Robust dementia literature suggests socioeconomic factors may also be key resiliencies. Methods: We linked state-level data reflecting the racialized landscape of economic opportunity across the 20th Century from the U.S. Census (1930-2010) with individual-level data on cognitive outcomes from the U.S. Health and Retirement Study participants racialized as Black. A purposive sample of participants born after the Brown v. Board ruling (born 1954-59) were selected who completed the modified Telephone Interview for Cognitive Status between 2010 and 2020 (N=1381). We tested associations of exposure to structural racism and resilience before birth, and during childhood, young-adulthood, and midlife with cognitive trajectories in mid-late life using mixed-effects regression models. Results: Older adults born in places with higher state-level structural socioeconomic racism experienced a more rapid cognitive decline in later life compared to those with lower levels of exposure. In addition, participants born in places with higher levels of state-level structural socioeconomic resilience experienced slower cognitive change over time than their counterparts. Discussion: These findings reveal the impact of racist U.S. policies enacted in the past that influence cognitive health over time and dementia risk later in life.

Food Insecurity and Cognitive Trajectories in Community-Dwelling Medicare Beneficiaries 65 Years and Older.

Importance: Food insecurity has a known association with prevalent impaired cognition. However, it is unknown whether food insecurity has a longitudinal association with cognitive decline among older adults. Objective: To determine whether food insecurity is associated with a faster decline in cognitive function among community-dwelling older adults. Design, Setting, and Participants: This retrospective cohort study used data from a nationally representative sample of Medicare beneficiaries 65 years and older recruited for the National Health and Aging Trends Study (NHATS). Community-dwelling NHATS participants were followed up for a maximum of 7 years (mean [SD] follow-up duration, 5.4 [1.1] years). Data were collected from January 1, 2012, to December 31, 2020, and analyzed from December 23, 2021, to December 6, 2022. Exposures: Self-reported food insecurity assessed from 2012 to 2019. Main Outcomes and Measures: Primary outcomes were immediate memory, delayed memory, and executive function collected from 2013 to 2020. Immediate and delayed recall were assessed by a 10-item word-list memory task (range, 0-10, with higher scores indicating more words recalled). Executive function was measured by the clock drawing test (range, 0-5, with higher scores indicating more accurate depiction of a clock). Each year's cognitive functions were linked to the prior year's food insecurity data. Linear mixed-effects models with random slopes and intercepts were used to examine the association between food insecurity and cognitive decline. Analytic weights in each year were applied to represent community-dwelling Medicare beneficiaries 65 years and older in 2011. Results: Of 3037 participants, a weighted 57.8% (raw count, 1345) were younger than 75 years, 56.2% (raw count, 1777) were women, and most (84.9% [raw count, 2268]) were White. Over 7 years, 417 (weighted proportion, 12.1%) experienced food insecurity at least once. Food insecurity was associated with a faster decline in executive function in a fully adjusted model: the mean difference of annual change in executive function score between people exposed to and not exposed to food insecurity was -0.04 (95% CI, -0.09 to -0.003) points. However, food insecurity was not associated with changes in immediate and delayed memory (0.01 [95% CI, -0.05 to 0.08] and -0.01 [95% CI, -0.08 to 0.06], respectively). Conclusions and Relevance: Among community-dwelling older adults, food insecurity was prevalent and associated with a decline in executive function. Interventions and policies aiming to increase healthy food access or reduce food insecurity should be assessed for their impact on older adults' cognitive outcome.

Self-Reported Vision Impairment and Food Insecurity in the US: National Health Interview Survey, 2011-2018.

PURPOSE: To determine if vision impairment (VI) is associated with food insecurity among the United States (US) adults. METHODS: This is a cross-sectional study of US adults ≥18 years below a threshold of 150% poverty from the National Health Interview Survey (NHIS), years 2011-2018. Outcome measures included food insecurity status, based on response to the NHIS adult (10-item) food insecurity tool, either as a binary (food secure or insecure) or ordinal (high, marginal, low, and very low) variable. VI was defined as self-reported trouble seeing, even when wearing glasses or contact lenses. Multivariable logistic regression analyses adjusted for potential confounders examined associations between VI and food insecurity. RESULTS: Participants (N = 62075) were majority female (57%), White (62%), and non-Hispanic (74%). Of them, 16% reported VI and 28% were food insecure. In fully adjusted logistic regression models, adults with VI had 216% higher odds (95% CI = 2.01-2.31) of being food insecure than adults without VI. Further, there was a dose-response relationship between VI and food insecurity noted in a multinomial model: VI predicted 159% higher risk of marginal food security (95% CI = 1.44-1.75), 197% higher risk of low food security (95% CI = 1.80-2.16), and 295% higher risk of very low food security (95% CI = 2.69-3.22), as compared to high food security. CONCLUSION: VI is associated with food insecurity, increasingly so among adults with highest levels of food insecurity in this national sample of low-income US adults. This data highlights the need for targeted interventions to address and reduce the burden of food insecurity among US adults with VI.