Social Isolation, Brain Food Cue Processing, Eating Behaviors, and Mental Health Symptoms.

Importance: Perceived social isolation is associated with negative health outcomes, including increased risk for altered eating behaviors, obesity, and psychological symptoms. However, the underlying neural mechanisms of these pathways are unknown. Objective: To investigate the association of perceived social isolation with brain reactivity to food cues, altered eating behaviors, obesity, and mental health symptoms. Design, Setting, and Participants: This cross-sectional, single-center study recruited healthy, premenopausal female participants from the Los Angeles, California, community from September 7, 2021, through February 27, 2023. Exposure: Participants underwent functional magnetic resonance imaging while performing a food cue viewing task. Main Outcomes and Measures: The main outcomes included brain reactivity to food cues, body composition, self-reported eating behaviors (food cravings, reward-based eating, food addiction, and maladaptive eating behaviors), and mental health symptoms (anxiety, depression, positive and negative affect, and psychological resilience). Results: The study included 93 participants (mean [SD] age, 25.38 [7.07] years). Participants with higher perceived social isolation reported higher fat mass percentage, lower diet quality, increased maladaptive eating behaviors (cravings, reward-based eating, uncontrolled eating, and food addiction), and poor mental health (anxiety, depression, and psychological resilience). In whole-brain comparisons, the higher social isolation group showed altered brain reactivity to food cues in regions of the default mode, executive control, and visual attention networks. Isolation-related neural changes in response to sweet foods correlated with various altered eating behaviors and psychological symptoms. These altered brain responses mediated the connection between social isolation and maladaptive eating behaviors (ß for indirect effect, 0.111; 95% CI, 0.013-0.210; P = .03), increased body fat composition (ß, -0.141; 95% CI, -0.260 to -0.021; P = .02), and diminished positive affect (ß, -0.089; 95% CI, -0.188 to 0.011; P = .09). Conclusions and Relevance: These findings suggest that social isolation is associated with altered neural reactivity to food cues within specific brain regions responsible for processing internal appetite-related states and compromised executive control and attentional bias and motivation toward external food cues. These neural responses toward specific foods were associated with an increased risk for higher body fat composition, worsened maladaptive eating behaviors, and compromised mental health. These findings underscore the need for holistic mind-body-directed interventions that may mitigate the adverse health consequences of social isolation.

US migration history and depressive symptoms among older mexican adults.

OBJECTIVE: To explore the association between US migration, chronic conditions (diabetes, stroke, heart attack, cancer, and hypertension), and mental health (depressive symptoms, and depression). MATERIALS AND METHODS: We assessed average changes in depressive symptom scores as well as depression over time and their link with migration experience controlling for health and sociodemographic factors among older Mexican adults (50+) using 2012, 2015, and 2018 waves of the Mexican Health and Aging Study (MHAS). RESULTS: Non-migrants had higher average depressive symptom scores and prevalence of depression (5+ score) in 2012 and 2015, but there was no significant difference in either measure in 2018 or on changes over time. CONCLUSION: Although there were no significant differences in average depressive symptoms and depression over time by migration history, this study highlights some differences in 2012 and 2015. Comparing groups across migration histories allowed the researchers to examine how life course differences impact mental health outcomes.

Discrimination exposure impacts unhealthy processing of food cues: crosstalk between the brain and gut.

Experiences of discrimination are associated with adverse health outcomes, including obesity. However, the mechanisms by which discrimination leads to obesity remain unclear. Utilizing multi-omics analyses of neuroimaging and fecal metabolites, we investigated the impact of discrimination exposure on brain reactivity to food images and associated dysregulations in the brain-gut-microbiome system. We show that discrimination is associated with increased food-cue reactivity in frontal-striatal regions involved in reward, motivation and executive control; altered glutamate-pathway metabolites involved in oxidative stress and inflammation as well as preference for unhealthy foods. Associations between discrimination-related brain and gut signatures were skewed towards unhealthy sweet foods after adjusting for age, diet, body mass index, race and socioeconomic status. Discrimination, as a stressor, may contribute to enhanced food-cue reactivity and brain-gut-microbiome disruptions that can promote unhealthy eating behaviors, leading to increased risk for obesity. Treatments that normalize these alterations may benefit individuals who experience discrimination-related stress.

Life Expectancy among Native Americans during the COVID-19 Pandemic: Estimates, Uncertainty and Obstacles.

Few reliable estimates have been available for assessing the impact of the COVID-19 pandemic on mortality among Native Americans. Using deidentified publicly available data on deaths and population by age, we estimated life expectancy for the years 2019 to 2022 for single-race non-Hispanic Native Americans. Life expectancy in 2022 was 67.8 years, 2.3 years higher than in 2021 but a huge four-year loss from 2019. Although our life expectancy estimates for 2022 vary under different assumptions about racial/ethnic classification and age misreporting errors, all estimates are lower than the average for middle-income countries. Estimates of losses and gains in life expectancy are consistent across assumptions. Large reductions in COVID-19 death rates between 2021 and 2022 were largely offset by increases in death rates from unintentional injuries (particularly drug overdoses), chronic liver disease, diabetes, and heart disease, underscoring the difficulties facing Native Americans in achieving reductions in mortality let alone returning to levels of mortality prior to the pandemic. Serious data problems have persisted for many years, but the scarcity and inadequacy of estimates during the pandemic have underscored the urgent need for timely and accurate demographic data for the Native American population.

Evaluating the Accuracy of 2020 Census Block-Level Estimates in California.

In this study, we provide an assessment of data accuracy from the 2020 Census. We compare block-level population totals from a sample of 173 census blocks in California across three sources: (1) the 2020 Census, which has been infused with error to protect respondent confidentiality; (2) the California Neighborhoods Count, the first independent enumeration survey of census blocks; and (3) projections based on the 2010 Census and subsequent American Community Surveys. We find that, on average, total population counts provided by the U.S. Census Bureau at the block level for the 2020 Census are not biased in any consistent direction. However, subpopulation totals defined by age, race, and ethnicity are highly variable. Additionally, we find that inconsistencies across the three sources are amplified in large blocks defined in terms of land area or by total housing units, blocks in suburban areas, and blocks that lack broadband access.

The impact of COVID-19 on life expectancy among four Asian American subgroups.

Background and objective: To date, the impact of the COVID-19 pandemic on life expectancy for the Asian American (AA) population has been reported in aggregate. This study provides estimates of life expectancy at birth before and during the pandemic, with a set of demographic, health, and socioeconomic risk factors for the four largest subgroups: Asian Indians, Chinese, Filipinos, and Vietnamese. These estimates are placed in context of the broader U.S. population. Methods: This study uses age-specific all-cause mortality from CDC WONDER and population counts from the American Community Surveys. We apply methodologies to address variability in population sizes over time (smoothing) and data quality issues at older ages (Brass relational model life table system) to produce three sets of sex-specific life expectancy estimates by subgroup for 2019, 2020, and 2021. Results: Almost all estimates show that the four AA subgroups experienced greater losses between 2019 and 2020 than Whites. These losses ranged from 1.1 to 3.9 years, with the largest drops among Chinese women (2.0-2.4) and Filipino men (3.5-3.9). Under all scenarios, losses in life expectancy were considerably smaller in 2021 than in 2020 among the four subgroups - with several subgroups experiencing a modest rebound - but these improvements did not compensate for the large increases in death rates in 2020. Filipino men had the largest decline in life expectancy from 2019 to 2021 among the four subgroups (3.4-4.2 years), and Vietnamese men and women experienced large losses which continued into the second year of the pandemic. Conclusions: Despite high pre-pandemic life expectancies, AAs suffered a large, and rarely acknowledged, increase in mortality during the pandemic, with substantial heterogeneity across subgroups and between women and men. This variability is due in part to the pronounced differences in risk factors for infection and severity which have been documented within the AA population.

Mediation of the association between disadvantaged neighborhoods and cortical microstructure by body mass index.

BACKGROUND: Living in a disadvantaged neighborhood is associated with worse health outcomes, including brain health, yet the underlying biological mechanisms are incompletely understood. We investigated the relationship between neighborhood disadvantage and cortical microstructure, assessed as the T1-weighted/T2-weighted ratio (T1w/T2w) on magnetic resonance imaging, and the potential mediating roles of body mass index (BMI) and stress, as well as the relationship between trans-fatty acid intake and cortical microstructure. METHODS: Participants comprised 92 adults (27 men; 65 women) who underwent neuroimaging and provided residential address information. Neighborhood disadvantage was assessed as the 2020 California State area deprivation index (ADI). The T1w/T2w ratio was calculated at four cortical ribbon levels (deep, lower-middle, upper-middle, and superficial). Perceived stress and BMI were assessed as potential mediating factors. Dietary data was collected in 81 participants. RESULTS: Here, we show that worse ADI is positively correlated with BMI (r = 0.27, p = .01) and perceived stress (r = 0.22, p = .04); decreased T1w/T2w ratio in middle/deep cortex in supramarginal, temporal, and primary motor regions (p < .001); and increased T1w/T2w ratio in superficial cortex in medial prefrontal and cingulate regions (p < .001). Increased BMI partially mediates the relationship between worse ADI and observed T1w/T2w ratio increases (p = .02). Further, trans-fatty acid intake (high in fried fast foods and obesogenic) is correlated with these T1w/T2w ratio increases (p = .03). CONCLUSIONS: Obesogenic aspects of neighborhood disadvantage, including poor dietary quality, may disrupt information processing flexibility in regions involved in reward, emotion regulation, and cognition. These data further suggest ramifications of living in a disadvantaged neighborhood on brain health.

Neighborhood disadvantage (a combination of low average income, more people leaving education earlier, crowding, lack of complete plumbing, etc.) is known to impact the health of people's brains. We evaluated whether neighborhood disadvantage was associated with differences in the structure of people's brains, and whether any differences were related to an unhealthily high weight and a high intake of trans-fatty acids, a component of fried fast food, on the structure of people's brains. Based on our results, regions of the brain that are involved in reward, emotion and gaining knowledge and understanding might be affected by aspects of neighborhood disadvantage that contribute to obesity, such as poor dietary quality. This suggests that it might be important to make healthier food more readily available in disadvantaged neighborhoods to improve the health of people's brains.

Gene-environment interactions and the case of body mass index and obesity: How much do they matter?

We investigate the demographic and population health implications of gene-environment interactions (GxE) in the case of body mass index (BMI) and obesity. We seek to answer two questions: (a) what is the first-order impact of GxE effects on BMI and probability of obesity, e.g. the direct causal effect of G in different E's? and (b) how large is the impact of GxE effects on second-order health outcomes associated with BMI and obesity, such as type 2 diabetes (T2D) and disability? In contrast to most of the literature that focuses on estimating GxE effects, we study the implications of GxE effects for population health outcomes that are downstream of a causal chain that includes the target phenotype (in this case BMI) as the initial cause. To limit the scope of the paper, we focus on environments defined by birth cohorts. However, extensions to other environments (education, socioeconomic status (SES), early conditions, and physical settings) are straightforward.

Mediating role of obesity on the association between disadvantaged neighborhoods and intracortical myelination.

We investigated the relationship between neighborhood disadvantage (area deprivation index [ADI]) and intracortical myelination (T1-weighted/T2-weighted ratio at deep to superficial cortical levels), and the potential mediating role of the body mass index (BMI) and perceived stress in 92 adults. Worse ADI was correlated with increased BMI and perceived stress (p's<.05). Non-rotated partial least squares analysis revealed associations between worse ADI and decreased myelination in middle/deep cortex in supramarginal, temporal, and primary motor regions and increased myelination in superficial cortex in medial prefrontal and cingulate regions (p<.001); thus, neighborhood disadvantage may influence the flexibility of information processing involved in reward, emotion regulation, and cognition. Structural equation modelling revealed increased BMI as partially mediating the relationship between worse ADI and observed myelination increases (p=.02). Further, trans-fatty acid intake was correlated with observed myelination increases (p=.03), suggesting the importance of dietary quality. These data further suggest ramifications of neighborhood disadvantage on brain health.

How Discrimination Gets Under the Skin: Biological Determinants of Discrimination Associated With Dysregulation of the Brain-Gut Microbiome System and Psychological Symptoms.

BACKGROUND: Discrimination is associated with negative health outcomes as mediated in part by chronic stress, but a full understanding of the biological pathways is lacking. Here we investigate the effects of discrimination involved in dysregulating the brain-gut microbiome (BGM) system. METHODS: A total of 154 participants underwent brain magnetic resonance imaging to measure functional connectivity. Fecal samples were obtained for 16S ribosomal RNA profiling and fecal metabolites and serum for inflammatory markers, along with questionnaires. The Everyday Discrimination Scale was administered to measure chronic and routine experiences of unfair treatment. A sparse partial least squares-discriminant analysis was conducted to predict BGM alterations as a function of discrimination, controlling for sex, age, body mass index, and diet. Associations between discrimination-related BGM alterations and psychological variables were assessed using a tripartite analysis. RESULTS: Discrimination was associated with anxiety, depression, and visceral sensitivity. Discrimination was associated with alterations of brain networks related to emotion, cognition and self-perception, and structural and functional changes in the gut microbiome. BGM discrimination-related associations varied by race/ethnicity. Among Black and Hispanic individuals, discrimination led to brain network changes consistent with psychological coping and increased systemic inflammation. For White individuals, discrimination was related to anxiety but not inflammation, while for Asian individuals, the patterns suggest possible somatization and behavioral (e.g., dietary) responses to discrimination. CONCLUSIONS: Discrimination is attributed to changes in the BGM system more skewed toward inflammation, threat response, emotional arousal, and psychological symptoms. By integrating diverse lines of research, our results demonstrate evidence that may explain how discrimination contributes to health inequalities.

A Systematic Literature Review of Hispanic Adults' Experiences With the Emergency Medical Services System in the United States Between 2000 and 2021.

OBJECTIVE: This systematic literature review presents an overview of studies that assess the experiences of Hispanic adults with (1) activation of emergency medical services (EMS); (2) on-scene care provided by EMS personnel; (3) mode of transport (EMS vs. non-EMS) to an emergency department (ED); and (4) experiences with EMS before and during the COVID-19 pandemic. METHODS: A bibliographic database search was conducted to identify relevant studies on Ovid MEDLINE (PubMed), Web of Science, EMBASE, and CINAHL. Quantitative, mixed methods, and qualitative studies published in English or Spanish were included if they discussed Hispanic adults' experiences with EMS in the US between January 1, 2000 and December 31, 2021. The Hawker and colleagues quality assessment instrument was used to evaluate the quality of studies. RESULTS: Of the 43 included studies, 13 examined EMS activation, 13 assessed on-scene care, 22 discussed the mode of transport to an ED, and 4 described Hispanic adults' experiences with EMS during the COVID-19 pandemic. Hispanics were less likely to activate EMS (N=7), less likely to receive certain types of on-scene care (N=6), and less likely to use EMS as the mode of transport to an ED (N=13), compared with non-Hispanic Whites. During the early COVID-19 pandemic period (March to May 2020), EMS use decreased by 26.5% compared with the same months during the previous 4 years. CONCLUSIONS: The contribution of this study is its attention to Hispanic adults' experiences with the different phases of the US EMS system.

The Impact of Education and Insurance Status on Past-Year Dental Visits Among Older Mexican Adults: Results From the 2001 and 2012 Mexican Health and Aging Study.

Objective: This study assessed past-year dental visits among older Mexican adults from the Mexican Health and Aging Study (MHAS). MHAS is a nationally representative cohort study of adults 50 years and older from Mexico. Methods: Baseline data from 2001 were compared with 2012 data. Binary logistic regression identified significant predictors of past-year dental visits. Decomposition techniques examined factors that contributed to changes in dental visits between 2001 and 2012. Results: Education and insurance status were positively associated with past-year dental visits, while decomposition results showed that population composition (more adults receiving insurance and higher education over time) contributed to the increased prevalence of dental visits between 2001 and 2012. Discussion: Education and insurance are critical factors that govern access to oral healthcare. After the provision of universal dental coverage by Mexico's Seguro Popular in 2003, our results may reflect promising effects of such programs, which can inform future policies in Mexico and other settings.

Injury-Related Emergency Medical Service Calls, Traffic Accidents, and Crime in Mexico City Before and During the COVID-19 Pandemic.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic had detrimental impacts across multiple sectors of the Mexican health care system. The prehospital care system, however, remains largely under-studied. The first objective of this study was to calculate the monthly per capita rates of injury-related 9-1-1 calls, traffic accidents, and crime at the state-level (Mexico City) during the early pandemic period (January 1 through June 30, 2020), while the second objective was to conduct these calculations at the borough-level for the same outcomes and time period. The third objective was to compare monthly per capita rates of injury-related 9-1-1 calls, traffic accidents, and crime at the state-level (Mexico City) during the pre-pandemic (January 1 through June 30, 2019), early pandemic (January 1 through June 30, 2020), and later pandemic periods (January 1 through June 30, 2021). METHODS: A retrospective analysis was conducted to examine injury-related 9-1-1 calls, traffic accidents, and crime at the state-level (Mexico City) and borough-levels. Monthly per capita rates were calculated using four datasets, including Mexico City's Public Release 9-1-1 Emergency Calls, National Institute of Statistics and Geography's (INEGI) Traffic Accidents Micro-Dataset, Mexico City's Attorney General's Office Crime Dataset, and Projections of the Population of the Municipalities of Mexico, 2015 to 2030. All statistical analyses were conducted using STATA 17.0. RESULTS: During the early pandemic period, injury-related 9-1-1 emergency calls, traffic accidents, and crime experienced similar trends in monthly per capita rates at the state-level and borough-levels. While the monthly per capita rates remained constant from January to March 2020, starting in March, there was a precipitous decrease across all three outcomes, although decline rates varied across boroughs. The monthly per capita rates across the three outcomes were higher during the pre-pandemic period compared to the early pandemic period. As the COVID-19 pandemic progressed, the monthly per capita rates during the later pandemic period increased across the three outcomes compared to the early pandemic period, although they did not reach pre-pandemic levels during the study period. CONCLUSION: The precipitous decline in injury-related 9-1-1 calls, traffic accidents, and crime in Mexico City occurred at the same time as the issuance of the first wave of public health orders in March 2020. The largest decrease across the three outcomes occurred one to two months post-issuance of the orders.

On the emergence of the correlation between life expectancy and the variance in the age at death.

Recent empirical studies have found various patterns in the correlations between lifespan inequality and life expectancy in modern human populations. However, it is unclear how general these regularities are. Here we establish three theorems that provide theoretical foundations for such regularities. We show that for populations with a finite maximum lifespan ω, and under certain continuity assumptions, the variance in the age at death is bounded by a function of lifespan that has a maximum and tends to zero as life expectancy tends to zero and ω. We show how the change in said variance is determined by a particular interplay between the coefficient of variation and the mean age in the population. These results lead to three hypotheses-a three-phased pattern of change for the correlation between the variance and life expectancy, a particular shape of the associated variance function, and that survival curve Type is one driver of the pattern. We illustrate those hypotheses empirically via a study of the 10 countries in the Human Mortality Database with the oldest available data. Our results elucidate the emergence of the aforementioned correlation patterns and provide demographically meaningful conditions under which those correlations reverse.

Life span inequality as a function of the moments of the deaths distribution: Connections and insights.

Recent work has unearthed many empirical regularities in mortality trends, including the inverse correlation between life expectancy and life span inequality, and the compression of mortality into older age ranges. These regularities have furnished important insights into the dynamics of mortality by describing, in demographic terms, how different attributes of the life table deaths distribution interrelate and change over time. However, though empirical evidence suggests that the demographically-meaningful metrics these regularities involve (e.g., life span disparity and life table entropy) are correlated to the moments of the deaths distribution (e.g., variance), the broader theoretical connections between life span inequality and the moments of the deaths distribution have yet to be elucidated. In this article we establish such connections and leverage them to furnish new insights into mortality dynamics. We prove theoretical results linking life span disparity and life table entropy to the central moments of the deaths distribution, and use these results to empirically link statistical measures of variation of the deaths distribution (e.g., variance, index of dispersion) to life span disparity and life table entropy. We validate these results via empirical analyses using data from the Human Mortality Database and extract from them several new insights into mortality shifting and compression in human populations.

Modeling biological age and its link with the aging process.

Differences in health status at older ages are a result of genetic predispositions and physiological responses to exposure accumulation over the lifespan. These vary across individuals and lead to health status heterogeneity as people age. Chronological age (CA) is a standard indicator that reflects overall risks of morbidity and mortality. However, CA is only a crude proxy for individuals' latent physiological deterioration. An alternative to CA is biological age (BA), an indicator of accumulated age-related biological change reflected in markers of major physiological systems. We propose and validate two BA estimators that improve upon existing ones. These estimators (i) are based on a structural equation model (SEM) that represents the relation between BA and CA, (ii) circumvent the need to impose arbitrary assumptions about the relation between CA and BA, and (iii) provide tools to empirically test the validity of assumptions the researcher may wish to invoke. We use the US National Health and Nutrition Examination Survey 1988-1994 and compare results with three commonly used methods to compute BA (principal components-PCA, multiple regression-MLR, and Klemera-Doubal's method-KD). We show that SEM-based estimates of BA differ significantly from those generated by PCA and MLR and are comparable to, but have better predictive power than KD's. The proposed estimators are flexible, allow testing of assumptions about functional forms relating BA and CA, and admit a rich interpretation as indicators of accelerated aging.

Population-level impact of adverse early life conditions on adult healthy life expectancy in low- and middle-income countries.

Evidence from theories of Developmental Origins of Health and Disease (DOHaD) suggests that experiencing adverse early life conditions subsequently leads to detrimental adult health outcomes. The bulk of empirical DOHaD literature does not consider the nature and magnitude of the impact of adverse early life conditions at the population level. In particular, it ignores the distortion of age and cohort patterns of adult health and mortality and the increased load of chronic illness and disability that ensues. In this paper, we use a microsimulation model combined with empirical estimates of incidence and prevalence of obesity, type 2 diabetes, and associated disability in low- and middle-income countries to assess the magnitude of delayed effects on adult healthy life expectancy and on compression (or expansion) of morbidity at older ages. The main goal is to determine if, in what ways, and to what extent delayed effects due to early conditions can influence cohorts' chronic illness and disability profiles.

Heterogeneity in Excess Mortality and Its Impact on Loss of Life Expectancy due to COVID-19: Evidence from Mexico.

The new coronavirus (COVID-19) is having a major impact on mortality and survival in most countries of the world, with Mexico being one of the countries most heavily impacted by the pandemic. In this paper, we study the impact of COVID-19 deaths on period life expectancy at birth in Mexico by sex and state. We focus on the loss of life expectancy at different ages as a geographically comparable measure of the pandemic's impact on the population in 2020. Results show that males have been affected more than women since they have lost more years of life expectancy at birth due to COVID-19, and they have also experienced a high variation of life expectancy loss across states. The biggest life expectancy loss concentrates in the Northeastern, Central, and Southeastern (Yucatan peninsula) states. Considering the likely undercount associated with COVID-19 deaths, sensitivity analysis suggests that the new coronavirus is having a much larger impact on life expectancy in Mexico than the official government data appears to indicate. Continuos assessment of the pandemic will help state governments quantify the effect of current and new public health measures.

La nouvelle maladie à coronavirus (COVID-19) a un impact majeur sur la mortalité et la survie dans la plupart des pays du monde, le Mexique étant parmi les pays les plus fortement touchés par la pandémie. Dans cet article, nous étudions l'impact des décès dus à la COVID-19 sur l'espérance de vie à la naissance comme mesure géographiquement comparable de l'impact de la pandémie sur la population en 2020. Les résultats montrent que les hommes ont été plus touchés que les femmes, ils ont perdu plus d'années d'espérance de vie à la naissance en raison de la COVID-19 et ont également connu une forte variation de la perte d'espérance de vie entre les États mexicains. La plus grande perte d'espérance de vie est concentrée dans les États du nord-est, du centre et du sud-est (péninsule du Yucatan). L'analyse de sensibilité tient compte du sous-dénombrement probable associé aux décès dus à la COVID-19 et suggère que la maladie a un impact beaucoup plus important sur l'espérance de vie au Mexique que les données officielles du gouvernement ne semblent l'indiquer. Une évaluation continue de la pandémie aidera les gouvernements des États à quantifier l'effet des mesures de santé publique actuelles et nouvelles à mesure que la pandémie se poursuit.

Emergency Medical Service Use Among Latinos Aged 50 and Older in California Counties, Except Los Angeles, During the Early COVID-19 Pandemic Period.

The COVID-19 pandemic has disproportionately affected Latino adults aged 50 and older in California. Among adults aged 50-64, Latinos constitute approximately one-third (32%) of the population, but over half (52%) of COVID-19 cases, and more than two-thirds (64%) of COVID-related deaths as of June 2, 2021. These health disparities are also prevalent among Latinos 65 years and older who constitute 22% of the population, but 40% of confirmed COVID-19 cases and 50% of COVID-related deaths. Emergency medical services (EMS) are an essential component of the United States healthcare system and a vital sector in COVID-19 response efforts. Using data from the California Emergency Medical Services Information System (CEMSIS), this study examines racial and ethnic differences in respiratory distress related EMS calls among adults aged 50 and older in all counties except Los Angeles. This study compares the early pandemic period, January to June 2020, to the same time period in 2019. Between January and June 2019, Latinos aged 50 and older had statistically significantly lower odds of respiratory distress related EMS calls compared to Blacks, Asians, and Whites. During the early pandemic period, January to June 2020, Latinos aged 50 and older had statistically significantly lower odds of respiratory distress related EMS calls compared to Blacks but slightly higher odds compared to Whites. Differences by race/ethnicity and region were statistically significant. Understanding EMS health disparities is crucial to inform policies that create a more equitable prehospital care system for the heterogeneous population of middle aged and older adults.

Estimation of older-adult mortality from information distorted by systematic age misreporting.

Testing theories about human senescence and longevity demands accurate information on older-adult mortality; this is rare in low- to middle-income countries where raw data may be distorted by defective completeness and systematic age misreporting. For this reason, such populations are frequently excluded from empirical tests of mortality and longevity theories, thus limiting their reach, as they reflect only a small and selected human mortality experience. In this paper we formulate an integrated method to compute estimates of older-adult mortality when vital registration and population counts are defective due to inaccurate coverage and/or systematic age misreporting. The procedure is validated with a simulation study that identifies a strategy to compute adjustments, which, under some assumptions, performs quite well. While the paper focuses on Latin American and Caribbean countries, the method is quite general and, with additional information and some model reformulation, could be applied to other populations with similar problems.