Demographic and geographical trends in chronic lower respiratory diseases mortality in the United States, 1999 to 2020.

Chronic lower respiratory disease (CLRD) related mortality has decreased in the United States due to increasing awareness in the general population and advancing preventative efforts, diagnostic measures, and treatment. However, demographic and regional differences still persist throughout the United States. In this study, we analyzed the temporal trends of demographic and geographical differences in CLRD-related mortality. Data was extracted from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database. Using this data, age-adjusted mortality rates per 100,000 people (AAMR), annual percentage change (APC), and average annual percentage changes with 95% confidence intervals (CIs) were assessed. The Joinpoint Regression Program was used to determine mortality trends between 1999 and 2020 based on demographic and regional groups.During this study period, there were 3,064,049 CLRD-related deaths, with most demographics and regional areas showing an overall decreasing trend. However, higher mortality rates were seen in the non-Hispanic White population and rural areas. Interestingly, mortality rates witnessed a decreasing trend for males throughout the study duration compared to females, who only began to show decreases in mortality during the latter half of the 2010s. Using these results, one can target efforts and build policies to improve CLRD-related mortality and reduce disparities in the coming decades.

Nutrient dilution and climate cycles underlie declines in a dominant insect herbivore.

Evidence for global insect declines mounts, increasing our need to understand underlying mechanisms. We test the nutrient dilution (ND) hypothesis-the decreasing concentration of essential dietary minerals with increasing plant productivity-that particularly targets insect herbivores. Nutrient dilution can result from increased plant biomass due to climate or CO2 enrichment. Additionally, when considering long-term trends driven by climate, one must account for large-scale oscillations including El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Pacific Decadal Oscillation (PDO). We combine long-term datasets of grasshopper abundance, climate, plant biomass, and end-of-season foliar elemental content to examine potential drivers of abundance cycles and trends of this dominant herbivore. Annual grasshopper abundances in 16- and 22-y time series from a Kansas prairie revealed both 5-y cycles and declines of 2.1-2.7%/y. Climate cycle indices of spring ENSO, summer NAO, and winter or spring PDO accounted for 40-54% of the variation in grasshopper abundance, mediated by effects of weather and host plants. Consistent with ND, grass biomass doubled and foliar concentrations of N, P, K, and Na-nutrients which limit grasshopper abundance-declined over the same period. The decline in plant nutrients accounted for 25% of the variation in grasshopper abundance over two decades. Thus a warming, wetter, more CO2-enriched world will likely contribute to declines in insect herbivores by depleting nutrients from their already nutrient-poor diet. Unlike other potential drivers of insect declines-habitat loss, light and chemical pollution-ND may be widespread in remaining natural areas.

The pandemic exposes human nature: 10 evolutionary insights.

Humans and viruses have been coevolving for millennia. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, the virus that causes COVID-19) has been particularly successful in evading our evolved defenses. The outcome has been tragic-across the globe, millions have been sickened and hundreds of thousands have died. Moreover, the quarantine has radically changed the structure of our lives, with devastating social and economic consequences that are likely to unfold for years. An evolutionary perspective can help us understand the progression and consequences of the pandemic. Here, a diverse group of scientists, with expertise from evolutionary medicine to cultural evolution, provide insights about the pandemic and its aftermath. At the most granular level, we consider how viruses might affect social behavior, and how quarantine, ironically, could make us susceptible to other maladies, due to a lack of microbial exposure. At the psychological level, we describe the ways in which the pandemic can affect mating behavior, cooperation (or the lack thereof), and gender norms, and how we can use disgust to better activate native "behavioral immunity" to combat disease spread. At the cultural level, we describe shifting cultural norms and how we might harness them to better combat disease and the negative social consequences of the pandemic. These insights can be used to craft solutions to problems produced by the pandemic and to lay the groundwork for a scientific agenda to capture and understand what has become, in effect, a worldwide social experiment.

The changing health needs of the UK population.

The demographics of the UK population are changing and so is the need for health care. In this Health Policy, we explore the current health of the population, the changing health needs, and future threats to health. Relative to other high-income countries, the UK is lagging on many health outcomes, such as life expectancy and infant mortality, and there is a growing burden of mental illness. Successes exist, such as the striking improvements in oral health, but inequalities in health persist as well. The growth of the ageing population relative to the working-age population, the rise of multimorbidity, and persistent health inequalities, particularly for preventable illness, are all issues that the National Health Service (NHS) will face in the years to come. Meeting the challenges of the future will require an increased focus on health promotion and disease prevention, involving a more concerted effort to understand and tackle the multiple social, environmental, and economic factors that lie at the heart of health inequalities. The immediate priority of the NHS will be to mitigate the wider and long-term health consequences of the COVID-19 pandemic, but it must also strengthen its resilience to reduce the impact of other threats to health, such as the UK leaving the EU, climate change, and antimicrobial resistance.

Superposition of COVID-19 waves, anticipating a sustained wave, and lessons for the future.

The 2019 coronavirus (COVID-19), also known as SARS-CoV-2, is highly pathogenic and virulent, and it spreads very quickly through human-to-human contact. In response to the growing number of cases, governments across the spectrum of affected countries have adopted different strategies in implementing control measures, in a hope to reduce the number of new cases. However, 5 months after the first confirmed case, countries like the United States of America (US) seems to be heading towards a trajectory that indicates a health care crisis. This is in stark contrast to the downward trajectory in Europe, China, and elsewhere in Asia, where the number of new cases has seen a decline ahead of an anticipated second wave. A data-driven approach reveals three key strategies in tackling COVID-19. Our work here has definitively evaluated these strategies and serves as a warning to the US, and more importantly, a guide for tackling future pandemics. Also see the video abstract here https://youtu.be/gPkCi2_7tWo.

The health and well-being of older women living alone in the United Kingdom and beyond: a scoping review.

In the United Kingdom (UK), women are more likely to live alone in later life. Social factors such as household composition have been shown to affect health and wellbeing as we age. The health and well-being of older women who live alone are of interest to researchers, care providers, health organizations, and policymakers. This article contributes to the literature by detailing a scoping review, establishing the current evidence in this field. The purpose and context of the review are given. The methodology and resulting data are described. Gaps in the literature and implications for practice and research are given.

Demographic Disparities in Proximity to Certified Stroke Care in the United States.

Background and Purpose: Demographic disparities in proximity to stroke care influence time to treatment and clinical outcome but remain understudied at the national level. This study quantifies the relationship between distance to the nearest certified stroke hospital and census-derived demographics. Methods: This cross-sectional study included population data by census tract from the United States Census Bureau's 2014­2018 American Community Survey, stroke hospitals certified by a state or national body and providing intravenous thrombolysis, and geographic data from a public mapping service. Data were retrieved from March to November 2020. Quantile regression analysis was used to compare relationships between road distance to the nearest stroke center for each census tract and tract-level demographics of age, race, ethnicity, medical insurance status, median annual income, and population density. Results: Two thousand three hundred eighty-eight stroke centers and 71 929 census tracts including 316 995 649 individuals were included. Forty-nine thousand nine hundred eighteen (69%) tracts were urban. Demographic disparities in proximity to certified stroke care were greater in nonurban areas than urban areas. Higher representation of individuals with age ≥65 years was associated with increased median distance to a certified stroke center in nonurban areas (0.51 km per 1% increase [99.9% CI, 0.42­0.59]) but not in urban areas (0.00 km [−0.01 to 0.01]). In urban and nonurban tracts, median distance was greater with higher representation of American Indian (urban: 0.10 km per 1% increase [0.06­0.14]; nonurban: 1.06 km [0.98­1.13]) or uninsured populations (0.02 km [0.00­0.03]; 0.27 km [0.15­0.38]). Each $10 000 increase in median income was associated with a decrease in median distance of 5.04 km [4.31­5.78] in nonurban tracts, and an increase of 0.17 km [0.10­0.23] in urban tracts. Conclusions: Disparities were greater in nonurban areas than in urban areas. Nonurban census tracts with greater representation of elderly, American Indian, or uninsured people, or low median income were substantially more distant from certified stroke care.

Disruptive Demographics: Their Effects on Nursing Demand, Supply and Academic Preparation.

The nursing profession faces both a labor shortage and a diversity problem. Nine proactive strategies-rooted in the disruptive demographic trends that are transforming our nation-are advanced to address these 2 critical issues.

Young Adulthood Relationships in an Era of Uncertainty: A Case for Cohabitation.

The young adulthood years are demographically dense. Dr. Ronald Rindfuss made this claim when he was Population Association of America (PAA) president in 1991 (Rindfuss 1991), and this conclusion holds today. I offer both an update of his work by including Millennials and a new view on young adulthood by focusing on an increasingly common experience: cohabitation. I believe we need to move away from our marriage-centric lens of young adulthood and embrace the complexity that cohabitation offers. The cohabitation boom is continuing with no evidence of a slowdown. Young adults are experiencing complex relationship biographies, and social science research is struggling to keep pace. Increasingly, there is a decoupling of cohabitation and marriage, suggesting new ways of framing our understanding of relationships in young adulthood. As a field, we can do better to ensure that our theories, methods, and data collections better reflect the new relationship reality faced by young adults.

Pilot Site Deployment of an IoT Solution for Older Adults' Early Behavior Change Detection.

The world demography is continuously changing. During the last decade, we noticed a regular variation in the world demography leading to a nearly balanced society share between the young and aging population. This increasing older adult population is facing many problems. In fact, the transition to the aging period is associated with physical, psychological, cognitive, and societal changes. Negative behavior changes are considered as indicators of older adults' frailty. This is why it is important to detect such behavior changes early in order to prevent isolation, sedentary lifestyle, and even diseases, and therefore delay the frailty period. This paper exhibits a proof-of-concept pilot site deployment of an Internet of Thing (IoT) solution for the continuous monitoring and detection of older adults' behavior changes. The objective is to help geriatricians detect sedentary lifestyle and health-related problems at an early stage.

Biliary tract cancer incidence and trends in the United States by demographic group, 1999-2013.

BACKGROUND: Biliary tract cancers (BTCs) are rare but deadly cancers (gallbladder cancer [GBC], intrahepatic cholangiocarcinoma [ICC], extrahepatic cholangiocarcinoma [ECC], and ampulla of Vater cancer [AVC]). A recent US study reported increasing GBC incidence among people younger than 45 years and blacks; however, it did not examine trends for other biliary tract sites. METHODS: This study characterized demographic differences in BTC incidence rates and time trends by anatomic site. Population-based North American Association of Central Cancer Registries data were used to calculate age-adjusted incidence rates, incidence rate ratios (IRRs), and estimated annual percent changes (eAPCs) for 1999-2013 by site and demographic group. For sites with significant differences in eAPC by age group, IRRs were compared by age group. RESULTS: GBC incidence rates declined among women (eAPC, -0.5%/y; P = .01) and all racial/ethnic groups except for non-Hispanic blacks, among whom rates increased (1.8%/y; P < .0001). Although GBC rates increased among 18- to 44-year-olds (eAPC, 1.8%/y; P = .01), they decreased among people 45 years old or older (-0.4%/y; P = .009). Sex (P < .0001) and racial/ethnic differences (P = .003 to .02) in GBC incidence were larger for younger people than older people. During this period, ICC (eAPC, 3.2%/y; P < .0001) and ECC rates (1.8%/y; P = .001) steadily increased across sex and racial/ethnic groups. Although AVC incidence rates increased among younger adults (eAPC, 1.8%/y; P = .03) but not older adults (-0.20%/y; P = .30), sex and racial/ethnic IRRs did not differ by age. CONCLUSIONS: Differential patterns of BTC rates and temporal trends have been identified by anatomic site and demographic groups. These findings highlight the need for large pooling projects to evaluate BTC risk factors by anatomic site.

Spatial Clusters of Breast Cancer Mortality and Incidence in the Contiguous USA: 2000-2014.

BACKGROUND: Clusters of breast cancer with varied incidence or mortality are known to exist. No national scale of analysis of geographical variation in breast cancer incidence has been published before for the contiguous USA. METHODS: This was a spatial cluster analysis of incidence and mortality data on breast cancer in the contiguous USA at the county resolution. Data for the years 2000-2014 were downloaded and analyzed with the software SaTScan with the goal to identify significant spatial clusters of breast cancer. Regression analysis was used to then adjust breast cancer incidence and mortality for several key risk factors such as age, smoking, particulate matter air pollution, physical inactivity, urban living, education level, and race. RESULTS: Spatial clusters of counties for higher than expected breast cancer incidence and also for breast cancer mortality were identified. All identified clusters have p < 0.05. The mortality clusters show the mean breast cancer rates inside the cluster, while the incidence clusters show the relative risk inside each cluster. This is the first study of the contiguous USA for breast cancer mortality and incidence together. The clustering for mortality is quite different from the clustering for incidence. Using the software JOINPOINT, it is shown that the annual US downward trend for breast cancer mortality slowed down in recent years. CONCLUSIONS: There exist several significant clusters in the contiguous USA, both for breast cancer incidence and for breast cancer mortality. Some of the clusters persisted even after adjusting for several key risk factors. These geographic areas warrant further investigation to potentially identify additional local concerns or needs to further address female breast cancer in those specific sites.

Adolescent sexual initiation and pregnancy: what more can be learned through further analysis of the demographic and health surveys in the Philippines?

BACKGROUND: Adolescent pregnancy poses risks to the life of a young mother and her baby, and can affect their health, educational and future employment outcomes. In many low- and middle-income countries like the Philippines, the Demographic and Health Surveys (DHS) Program is among the most reliable and easily accessible sources of demographic and health data for researchers, development workers, and policymakers. Data on adolescent sexual and reproductive health (SRH) are often limited, but in the absence of other sources, there is room to make the most of the adolescent health data gathered by the DHS. The aim of this study is to explore what more can be learned about adolescent sexual initiation and pregnancy through the further analysis of demographic and health data, using DHS data from the Philippines as an example. METHODS: This study conducted trend analysis of DHS data over three survey rounds (2003, 2008 and 2013) to explore the context of adolescent sexual initiation and pregnancy over time. Bivariate and multivariate logistic regression were then used to study associations between adolescent pregnancy experience and selected demographic, socioeconomic and SRH variables using data from the 2013 DHS. RESULTS: This study found that between 2003 and 2013, proportions of Filipino young women experiencing adolescent sexual initiation and adolescent pregnancy have increased. Multivariate logistic regression affirmed the protective effect of education and belonging to higher wealth quintiles on the risk of adolescent pregnancy. Ever use of contraception was positively associated with adolescent pregnancy but is likely indicative of use after a prior pregnancy, and/or other factors relating to improper/inconsistent contraceptive use. CONCLUSIONS: In the absence of reliable, easily accessible data on adolescent SRH, the DHS data can provide important insights about adolescent reproductive transitions such as sexual initiation and first pregnancy. However, there are limited variables in the datasets that could proxy for other important social determinants which prior studies have linked to adolescent SRH outcomes. There remains a need for timely and targeted collection of quantitative and qualitative data on adolescent SRH that can guide programming and policy intended to foster positive health outcomes during this crucial transition period to adulthood.

A look at the increasing demographic representation within behavioral medicine.

Meeting the behavioral medicine research and clinical needs of an increasingly diverse United States population is an issue of national concern. We examine the trends in the demographic representation of the behavioral medicine scientific workforce through an analysis of the training grants funded by National Institutes of Health for the field of behavioral medicine from 1980 to 2018. We report the topics of these training grants, and we depict the demographic representation of the training leaders. We provide the demographic representation of the trainees, and of the first authors of publications reported within those training grants. Finally, we report the topics addressed in these behavioral medicine publications, to determine if topic diversity increased as the behavioral medicine scientific workforce diversified. Visualizations are presented that tell a story of how we have, and have not, advanced representation within the field of behavioral medicine. Best practices for launching future successful behavioral medicine scientists are then presented, to ensure optimal representation and diversification occurs in our workforce, our science, and our delivery of our clinical care.

Identifying the Demographic and Mental Health Factors That Influence Insomnia Treatment Recommendations Within a Veteran Population.

Objective/Background: Insomnia is a pervasive and costly disorder that is particularly prevalent within the U.S. Veteran population. Although Cognitive Behavioral Therapy for Insomnia (CBT-I) is the recommended first-line treatment for insomnia, high rates of sedative-hypnotic prescribing continue. There is little research investigating the rates and factors impacting insomnia treatment recommendations, both behavioral and pharmacological. Participants: A cohort of 5,254 Veterans referred for either CBT-I or prescribed a sedative-hypnotic medication at a single VA Medical Center composed the group of participants. Methods: The current study evaluated the rates of insomnia treatment recommendations and the extent to which demographic variables, psychiatric disorders, and sleep disorders contributed to referrals for CBT-I or prescriptions for sedative-hypnotic medications within a large administrative data set. Results: Military service-related disability, insomnia diagnosis, and having one or more psychiatric diagnoses were associated with a greater likelihood of receiving a CBT-I referral (alone or in addition to a sedative-hypnotic medication) rather than a sedative-hypnotic prescription alone. A diagnosis of posttraumatic stress disorder was associated with a greater likelihood of receiving a sedative-hypnotic medication alone versus a CBT-I referral. Conclusions: Overall, the findings suggest that sedative-hypnotic medications were overwhelmingly the primary treatment recommendation despite evidence to support CBT-I as the recommended first-line treatment. However, key factors were identified that increased the likelihood of Veterans being referred for CBT-I. Suggestions for better identifying and understanding key factors that impact treatment recommendations are discussed.

Implications of changing trekker demographics on travel health in the Annapurna region.

OBJECTIVE: The objective is to investigate trekkers' changing demographics, travel patterns and experience of illness in the Annapurna region. STUDY DESIGN: A mixed method study comprising a cross-sectional survey was carried out with trekkers who had completed trekking in the Annapurna region. METHODS: Interviews were carried out with trekkers using a standardised questionnaire from September to December (main trekking season) 2014 and 2016. The interview format included trekkers' demographic characteristics, travel patterns, preparation and logistics and experiences of illness and treatment. RESULTS: The demographic composition of trekkers had changed. Chinese and Nepalese trekkers were the most dominant groups along with other international trekkers from 16 different countries. In terms of the trekking pattern, the Chinese and the Nepalese trekkers spent a median of 7 days each in the trek and trekked to a median altitude of 3500 m, while other international trekkers spent a median of 10 days and trekked to a median altitude of 4000 m. In general, trekkers' food habits and travel patterns were good. They undertook some health preparation by using the Internet, consulting friends and travel guidebooks and consulting a doctor, pharmacist and other healthcare providers and brought medicines accordingly. However, 25% of trekkers, most commonly Chinese, Korean and Nepalese, came without any health preparation and with no medicines. Thirty percent of the trekkers became sick during the trek with common illnesses such as diarrhoea, vomiting, the common cold, headache, fever and altitude-related symptoms. CONCLUSIONS: Trekkers' demographic composition has changed from that found in previous studies, and this was reflected in their trekking pattern. Trekkers' health preparations for high-altitude trekking were still inadequate, especially among the newer groups such as the Nepalese, Chinese and Korean trekkers. Issues such as trekkers' health preparation and practice, eating patterns, the length of trek and altitude and health and safety provision need further improvement, especially in the context of these changing trekker demographics.

The effects of seat width, load factor, and passenger demographics on airline passenger accommodation.

The objective of this work is to demonstrate a method for examining the competing effects of secular trends in body size, seat size and configuration, and the increased load factor of aeroplanes. The method uses statistical modelling and virtual fit testing to provide a flexible environment for exploring the impact of various parameters on passenger accommodation. A case study demonstrates the method by exploring the effect of seat width on the accommodation of US civilians (based on seated hip breadth). The case study demonstrates that recent trends of decreasing seat widths and increasing load factors lead to higher disaccommodation. Based on anthropometry and virtual fit, women are also shown to be disproportionately disaccommodated compared to men. Practitioner summary: Airlines are reducing seat width at the same time that individuals worldwide are getting larger. Flights are increasingly crowded, with load factor at a record high. This paper explores the effects of seat width on passenger accommodation under several scenarios involving load factor, demographics, and passenger seating allocation strategies.

[Prevalence of autism spectrum disorders in USA, Europe and Spain: coincidences and discrepancies]. / Prevalencia de los trastornos del espectro autista en niños en Estados Unidos, Europa y España: coincidencias y discrepancias.

Autism spectrum disorders are a heterogeneous group of disorders that share the presence of two core symptoms: problems in social interaction / communication and the tendency to present restricted interests and repetitive behavior. Over the last years, several epidemiologic studies have been published by different authors in diverse countries, having all of them shown two common characteristics: a global increase in the prevalence rates of autism spectrum disorders, and the existence of a great geographical variability no only between geographical areas, but also within the same geographical areas. At the present manuscript, we analyze some of the most recent prevalence data published in USA and some European countries (including Spain). All of them show different prevalence rates, ranging from 1/59 children with autism spectrum disorders in the USA to 1/806 in Portugal. In a second part, we briefly describe some of the current scientific hypotheses that try to explain this variability.

Los trastornos del espectro autista (TEA) engloban a un grupo heterogéneo de trastornos del neurodesarrollo que tienen en común la presencia de problemas para la interacción/comunicación social y la tendencia a mostrar intereses restringidos o conductas repetitivas. Diversos estudios epidemiológicos realizados en diferentes países en los últimos años han mostrado de forma consistente dos características: el incremento progresivo en la prevalencia de los TEA a nivel mundial y la existencia de una gran variabilidad geográfica entre territorios y dentro de un mismo territorio. En el presente artículo analizamos los datos de prevalencia más recientemente publicados en EE.UU. y en diversos países de Europa (incluyendo España), que muestran tasas de prevalencia muy variables, con un rango que abarca desde 1/59 niños con trastornos del espectro autista en EE. UU., hasta 1/806 en Portugal. En un segundo tiempo describimos brevemente algunas de las principales hipótesis que intentan explicar esta variabilidad.

Population health in an era of rising income inequality: USA, 1980-2015.

Income inequality in the USA has increased over the past four decades. Socioeconomic gaps in survival have also increased. Life expectancy has risen among middle-income and high-income Americans whereas it has stagnated among poor Americans and even declined in some demographic groups. Although the increase in income inequality since 1980 has been driven largely by soaring top incomes, the widening of survival inequalities has occurred lower in the distribution-ie, between the poor and upper-middle class. Growing survival gaps across income percentiles since 2001 reflect falling real incomes among poor Americans as well as an increasingly strong association between low income and poor health. Changes in individual risk factors such as smoking, obesity, and substance abuse play a part but do not fully explain the steeper gradient. Distal factors correlated with rising inequality including unequal access to technological innovations, increased geographical segregation by income, reduced economic mobility, mass incarceration, and increased exposure to the costs of medical care might have reduced access to salutary determinants of health among low-income Americans. Having missed out on decades of income growth and longevity gains, low-income Americans are increasingly left behind. Without interventions to decouple income and health, or to reduce inequalities in income, we might see the emergence of a 21st century health-poverty trap and the further widening and hardening of socioeconomic inequalities in health.