Socioeconomic Covariates Research Articles

Are centenarians successful agers? Evidence from China.

It is unclear to what degree centenarians are successful agers. We assess successful aging (SA) and its subtypes in a large Chinese sample. Based on a large national sample of 18,311 Chinese centenarians, we first estimated the prevalence of SA among centenarians, and then used the Latent Class Analysis to classify centenarians into different types based on the five dimensions of SA. Multinomial regression analysis was used to examine how demographic, socioeconomic, and lifestyle covariates are associated with these identified types. 5.7% of centenarians fulfilled all five criteria of SA, and 1.3% failed all five criteria. The remainder could be classified into six types of SA. The regression analysis further revealed that these SA types were related to various social factors. For example, with timely access to medical care, centenarians were three times more likely to be successful agers. Centenarians demonstrate substantial heterogeneity in terms of achieving five SA criteria. Social factors are found to be significantly associated with centenarians' aging performances. Specific subtypes of SA among centenarians may be associated with and help explore different underlying biological-environmental mechanisms of exceptional longevity.

Building a macrosystems ecology framework to identify links between environmental and human health: A random forest modelling approach

Abstract Anthropogenic activities that degrade natural ecosystems may also impact human health. However, research on the links between human and environmental health has most often been conducted at small scales (e.g. individual cities) and cannot easily be extrapolated to larger scales. We created a macrosystems ecology framework to identify associations between human and environmental health by combining human mortality and socioeconomic data for the conterminous United States with spatially aligned data on the physicochemical characteristics of river basins. Principal component analysis was first used to reduce a list of 596 environmental variables to a subset of 64 environmental covariates, representing six main environmental themes (climate, geology, hydrology, land use, river basin morphology and pollution). Independent, spatially aligned information was then obtained for 12 socioeconomic covariates. Random forest modelling was used to predict age‐adjusted mortality rate as a function of the environmental and socioeconomic covariates. An independent data subset (random 75:25 model building vs. testing split) was also used for model validation. The coefficient of determination between predicted and observed mortality rates was 0.76 for the validation data. Furthermore, model residuals (predicted − observed mortality) were centered near zero and normally distributed (1 SD = 62.26), suggesting high model accuracy and precision. Socioeconomic covariates were consistently the most influential predictors of mortality rate. Smoking, food insecurity, and lack of physical activity were particularly important. However, environmental covariates accounted for 5 of the 10 strongest predictors overall, with air temperature and precipitation being most influential among environmental variables. This proof‐of‐concept study demonstrates the utility of a modelling framework that combines environmental and human health data at macroscales. We suggest that further application of macrosystems ecology tools will improve the capacity to anticipate human health responses to ongoing environmental change. Read the free Plain Language Summary for this article on the Journal blog.

How did trends in sleep duration in 2020 compare to previous years and how did they vary by sex, race/ethnicity, and educational attainment?

Recent evidence utilizing online samples indicates that sleep patterns were significantly altered during the initial months of the SARS-CoV-2 (COVID-19) pandemic/lockdown. However, it remains less clear how sleep duration changed in population-based samples, in the later months of 2020, and across subpopulations. Here we used a population-based sample to document sleep duration trends for the entire year of 2020, compared these trends to the previous years of 2013, 2014, 2016, and 2018, and systematically analyzed whether self-reported sleep duration patterns in 2020 varied by sex, race/ethnicity, and educational attainment. Data were from the Behavioral Risk Factor Surveillance System (n = 2,203,861) and focused on Americans aged 18 years and older. Respondents self-reported the hours of sleep they got in a 24-h period. We fit multinomial and linear regression models to predict the category of sleep duration (six or fewer hours, seven to eight h (base), and nine or more hours) and the raw reports of sleep duration, net of demographic, socioeconomic, and behavioral health covariates. Results revealed significant increases in sleep duration during the months directly after the COVID-19 lockdown (March and April in particular). However, these increases were short lived; reports of sleep duration reverted to historical levels by the Fall of 2020. We also found that the changes in sleep duration trends in 2020 were similar by sex, race/ethnicity, and educational attainment, cumulatively leading to little impact to disparities in sleep duration. In a dramatic, but brief, alteration of population-level sleep duration patterns, disparities in self-reported sleep duration remained intractable.

Factors associated with receiving CF care and use of telehealth in 2020 among persons with Cystic Fibrosis in the United States

BackgroundThe COVID-19 pandemic resulted in the use of telehealth to deliver the cystic fibrosis (CF) care model, which recommends routine follow-up for monitoring of nutritional status, bacterial culture surveillance, pulmonary function testing, and screening for CF-related complications such as diabetes or osteoporosis. MethodsThe objective of this study was to use Cystic Fibrosis Foundation Patient Registry (CFFPR) data to quantify the extent to which persons with CF received the recommended components of the care model in 2019 versus 2020. A risk factor analysis was implemented to identify patient characteristics associated with attaining the recommended CF care and use of any telehealth using multivariable logistic regression. ResultsA total of 28,132 CFFPR participants were included in the study. The proportion of individuals meeting the recommendations for CF care was lower in 2020 for every indicator, and lower in adults compared to children. In adults, demographic, socioeconomic and CF-related disease covariates were significantly associated with both achieving an aggregate level of care and use of telehealth. In the pediatric population, minority race/ethnicity and markers of lower socioeconomic status were associated with a lower odds of telehealth use. In all analyses, having received the recommended level of care in 2019 was associated with a higher odds of both reported telehealth use and achieving the recommended elements of the CF care model in 2020. ConclusionFewer participants met recommendations for care in 2020 despite widespread use of telehealth, and use of telehealth did not equate to adherence to all aspects of CF care.

Revision Rates and Associated Risk Factors after Shoulder Arthroplasty.

This study aims at answering the following questions (1) How high is the revision rate after osteoarthritis-, and rotator cuff-related compared to proximal humerus fracture (PHF)-related shoulder arthroplasty? (2) What are the associated risk factors for a revision after shoulder arthroplasty? Shoulder arthroplasty procedures occurring between 1 January 2009 and 31 December 2019 were identified from the Medicare database. First, revision rates for PHF patients and age- and sex-matched non-fracture patients, grouped into osteoarthritis-related and rotator cuff-related arthroplasty, were compared. Second, revision rates between total shoulder arthroplasty and hemiarthroplasty after PHF were compared. Semiparametric Cox regression was applied, incorporating 23 demographic, clinical, and socioeconomic covariates, to investigate risk factors for revision surgery. Between the considered time period from 2009 through 2019, a total number of 47,979 PHFs was identified. A shoulder arthroplasty procedure was performed in n = 2639 (5.5%, 95%CI: 4.8-6.1) of the cases. The five-year survivorship of the implant was 96.3 (95%CI: 93.8-97.9) after hemiarthroplasty and 96.1% (05%CI: 94.2-97.3) after total shoulder arthroplasty. To compare the revision rates, n = 14,775 patients with osteoarthritis and n = 4268 patients with rotator cuff arthropathy, who received a shoulder arthroplasty, served as a non-fracture control group. Patients receiving a rotator cuff-related arthroplasty were more likely to require a revision compared to patients treated for osteoarthritis (HR: 1.27, 95%CI: 1.04-1.44, p = 0.018). Identified significant risk factors for revision surgery after shoulder arthroplasty included age ≤ 75 years, male sex, and osteoporosis. High implant survival was found for hemiarthroplasty and total shoulder arthroplasty for the treatment of PHF in elderly patients. The risk of revision surgery was elevated in patients receiving a rotator cuff-related arthroplasty as well as in patients with osteoporosis, male patients and patients older than 75 years.

Multimorbidity prevalence and chronic disease patterns among tuberculosis survivors in a high-income setting.

Multimorbidity is the presence of two or more chronic health conditions. Tuberculosis (TB) survivors are known to have higher prevalence of multimorbidity, although prevalence estimates from high-income low-TB incidence jurisdictions are not available and potential differences in the patterns of chronic disease among TB survivors with multimorbidity are poorly understood. In this study, we aimed to (1) compare the prevalence of multimorbidity among TB survivors with matched non-TB controls in a high-income setting; (2) assess the robustness of aim 1 analyses to different modelling strategies, unmeasured confounding, and misclassification bias; and (3) among people with multimorbidity, elucidate chronic disease patterns specific to TB survivors. A population-based cohort study of people immigrating to British Columbia, Canada, 1985-2015, using health administrative data. Participants were divided into two groups: people diagnosed with TB (TB survivors) and people not diagnosed with TB (non-TB controls) in British Columbia. Coarsened exact matching (CEM) balanced demographic, immigration, and socioeconomic covariates between TB survivors and matched non-TB controls. Our primary outcome was multimorbidity, defined as ≥2 chronic diseases from the Elixhauser comorbidity index. In the CEM-matched sample (n=1962 TB survivors; n=1962 non-TB controls), we estimated that 21.2% of TB survivors (n=416), compared with 12% of non-TB controls (n=236), had multimorbidity. In our primary analysis, we found a double-adjusted prevalence ratio of 1.74 (95% CI: 1.49-2.05) between TB survivors and matched non-TB controls for multimorbidity. Among people with multimorbidity, differences were observed in chronic disease frequencies between TB survivors and matched controls. TB survivors had a 74% higher prevalence of multimorbidity compared with CEM-matched non-TB controls. TB-specific multimorbidity patterns were observed through differences in chronic disease frequencies between the matched samples. These findings suggest a need for TB-specific multimorbidity interventions in high-income settings such as Canada. We suggest TB survivorship as a framework for developing person-centred interventions for multimorbidity among TB survivors.

Psychological consequences of long COVID: comparing trajectories of depressive and anxiety symptoms before and after contracting SARS-CoV-2 between matched long- and short-COVID groups.

There is a growing global awareness of the psychological consequences of long COVID, supported by emerging empirical evidence. However, the emergence and long-term trajectories of psychological symptoms following the infection are still unclear. To examine when psychological symptoms first emerge following infection with SARS-CoV-2 and the long-term trajectories of psychological symptoms comparing long- and short-COVID groups. We analysed longitudinal data from the UCL COVID-19 Social Study (March 2020 to November 2021). We included data from adults living in England who reported contracting SARS-CoV-2 by November 2021 (n = 3115). Of these, 15.9% reported having had long COVID (n = 495). They were matched to participants who had short COVID using propensity score matching on a variety of demographic, socioeconomic and health covariates (n = 962 individuals with 13 325 observations) and data were further analysed using growth curve modelling. Depressive and anxiety symptoms increased immediately following the onset of infection in both long- and short-COVID groups. But the long-COVID group had substantially greater initial increases in depressive symptoms and heightened levels over 22 months follow-up. Initial increases in anxiety were not significantly different between groups, but only the short-COVID group experienced an improvement in anxiety over follow-up, leading to widening differences between groups. The findings support work on the psychobiological pathways involved in the development of psychological symptoms relating to long COVID. The results highlight the need for monitoring of mental health and provision of adequate support to be interwoven with diagnosis and treatment of the physical consequences of long COVID.

Comparative Analysis of Edentulism in a Sample of Mexican Adults with and without Type 2 Diabetes.

The objective of the present study was to compare the prevalence of edentulism in Mexican adults with and without a diagnosis of type 2 diabetes mellitus (T2DM) when they are seeking dental care. A cross-sectional study was conducted on 1921 medical records of Mexican adults 40 years of age and older who sought dental care at clinics of a public university in Mexico. The dependent variable was edentulism, clinically determined through an oral examination. The main independent variable was the self-report of previous T2DM diagnosis made by a physician. Sociodemographic, socioeconomic and behavioral covariates were included in a multivariate binary logistic regression model. Overall edentulism prevalence was 8.4% (95% CI = 7.1-9.6). The prevalence of T2DM was 14.3% (n = 274). The prevalence of edentulism among individuals with T2DM was 13.1%, but only 7.6% among individuals without T2DM. In the multivariate binary logistic regression model, a previous T2DM diagnosis increased the probability of being edentulous 1.61 times (95% CI = 1.03-2.50). For each year a person's age increased, the likelihood of being edentulous increased by 12% (95% CI = 10-14%). In summary, a higher prevalence of edentulism was present in Mexican adults with T2DM and in those of older age. This information may be used by dental care providers and health policymakers to improve approaches to preventive care, as well as to characterize and anticipate care needs more accurately for the adult and older adult populations.

Secular trend in prevalence and socioeconomic correlates of diabetes in pregnancy in Taiwan.

To assess the trend in prevalence and socioeconomic correlates of diabetes in pregnancy (DIP) in Taiwan from 2007 to 2014. In all, 1 606 344 pregnancies, including 199 383 DIP (1693 with pre-pregnancy type 1 diabetes [T1DM], 17 171 with pre-pregnancy type 2 diabetes [T2DM], and 180 519 with gestational diabetes mellitus [GDM]) were investigated. Logistic regression models were performed to identify the covariates significantly associating with DIP. Over the study period, the prevalence of pre-pregnancy T2DM increased by 568.44%; the prevalence of T1DM and GDM also increased but with a smaller magnitude. However, only the prevalence of pre-pregnancy T2DM showed an increase after socioeconomic variables were considered. Compared with immigrant mothers, native-born mothers had a significantly higher adjusted odds ratio of DIP, particularly pre-pregnancy T1DM (3.33, 95% confidence interval 1.57-7.05). Additionally, indigenous mothers and those from rural areas had a higher prevalence of pre-pregnancy T2DM but lower prevalence of GDM. Lower maternal education and income were associated with higher prevalence of pre-pregnancy T1DM but lower prevalence of pre-pregnancy T2DM and GDM. Socioeconomic variables largely accounted for the increased secular trend in pre-pregnancy T1DM and GDM, but the prevalence of pre-pregnancy T2DM still doubled, which was independent of socioeconomic covariates.

Cross-sectional and longitudinal associations between arts engagement, loneliness, and social support in adolescence

PurposeAlthough arts engagement holds promise for reducing loneliness and enhancing social support, previous research has focussed on older adults. We investigated whether arts engagement was associated with loneliness and social support during adolescence.MethodsWe included 11,780 adolescents aged 11–21 years from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative cohort study. We measured whether adolescents engaged in school-based arts activities (band, book club, chorus, choir, cheerleading, dance, drama club, newspaper, orchestra) at wave one (1994–1995). Loneliness and perceived social support from peers were measured at waves one and two (1996). We used logistic regression to test whether arts engagement was associated with concurrent and subsequent loneliness and social support.ResultsArts engagement was not associated with concurrent or subsequent loneliness. Compared to not engaging, doing one or more school-based arts activities was associated with 59% higher odds of high social support concurrently (odds ratio [OR] = 1.59, 95% CI = 1.32–1.91). However, this cross-sectional association was attenuated after adjusting for demographic, socioeconomic, and health-related covariates (adjusted OR [AOR] = 1.16, 95% CI = 0.95–1.42). In contrast, doing arts activities was associated with 28% higher odds of reporting high social support one year later (AOR = 1.28, 95% CI = 1.03–1.59), independent of covariates and previous social support.ConclusionsExtracurricular arts activities are associated with increased odds of reporting good subsequent social support from peers. This may be because they provide opportunities for social engagement, developing friendships, and building a sense of community. Exploring these associations in more detail should be a priority, enabling better understanding of this strategy for enhancing social ties during adolescence.

Pace of aging, family environment and cognitive skills in children and adolescents

Pace of aging is an epigenetic clock which captures the speed at which someone is biologically aging compared to the chronological-age peers. We here use data from the Avon Longitudinal Study of Parents and Children (ALSPAC) to investigate the interrelation between the study children's parental social class at birth, and their pace of aging and cognitive skills measures in childhood and adolescence. We show that children from lower parental social classes display faster pace of aging and that the social class gradient in pace of aging is strongest in adolescence. About one third of this association can be explained by other socio-economic and demographic covariates, as well as life events. Similarly, study children's pace of aging manifests a negative association with their measures of cognitive skills in late adolescence only. This association becomes stronger as the contemporary pace of aging of the mother becomes faster. Our results seem to identify adolescence as the period of life when pace of aging, family environment and cognitive skills measures begin to interact.

Association between preterm births and socioeconomic development: analysis of national data

BackgroundThe increasing prevalence of preterm birth, which is a global phenomenon, is attributable to the increased medical indications, artificial gestations, and some socioeconomic factors. This study was conducted to identify whether development and equality indices are associated with the incidence of preterm birth, specifically, spontaneous and elective preterm births.MethodsThis retrospective observational study comprised an analysis of data on live births from 2019 in Brazil and on socioeconomic indices that were derived from census information in 2017. Data were summarised using absolute and relative frequencies. Spearman’s correlation was used to determine the correlation between socioeconomic factors and the preterm birth rate. Multiple beta regression analysis was performed to determine the best model of socioeconomic covariates and preterm birth rate. The significance level was set at 5%.ResultsIn 2019 in Brazil, the preterm birth rate was 11.03%, of which 58% and 42% were spontaneous and elective deliveries, respectively. For all preterm births, Spearman’s correlation varied from ρ = 0.4 for the Gini Index and ρ = − 0.24 for illiteracy. The best fit modelled the spontaneous preterm birth fraction as a negative function of the Human Development Index (HDI). The best-fit model considered the expected elective preterm birth fraction as a positive function of the HDI and as a negative function of the Gini Index, which was used as a precision parameter.ConclusionsWe observed a reduction in the fraction of spontaneous preterm births; however, the distribution was not uniform in the territory: higher rates of spontaneous preterm birth were noticed in the north, northeast, and mid-west regions. Thus, areas with lower education levels and inequal income distribution have a higher proportion of spontaneous preterm birth. The fraction of elective preterm birth was positively associated with more advantaged indices of socioeconomic status.

The impact of lifestyle guidance intervention on health outcomes among Japanese middle-aged population with metabolic syndrome: A regression discontinuity study

Metabolic syndrome (MetS) prevalence has increased globally with considerable morbidity and economic burden at both individual and national levels. Japan is the first and only country that has introduced a nationwide lifestyle guidance intervention program to manage and control MetS. We conducted a quasi-experiment approach—regression discontinuity design—to evaluate the impact of this intervention on health outcomes at the population level. We retrospectively collected data of adults aged ≥35 years who participated in health checkups in 2015. Age in 2015 was used as the assignment variable, and an age of 40 years old was the threshold because those with MetS aged ≥40 were required to receive lifestyle guidance intervention. Among 26,772 MetS adults, those who received the intervention had significant reductions in obesity measurements (bodyweight, waist circumference, and body mass index [BMI]) after 1 year of this intervention. Blood pressure was also significantly reduced in men after 1 year of undertaking the intervention. The results were similar when including demographic, socioeconomic, and behavioral covariates and using alternative functional forms to estimate the impact, or when bandwidths around intervention thresholds were changed. Our results showed that lifestyle guidance intervention for MetS has an important impact on weight loss and blood pressure reduction at the population level. This intervention could address the high burden of obesity and cardiovascular diseases in Japan and other countries with an unmet need for MetS prevention and management.

Gender inequalities in mortality in Lithuania: the HAPIEE Study

Abstract Introduction Gender inequalities in morbidity and mortality are important problem in countries of Central and Eastern Europe. Mortality difference between men and women in Lithuania is one of the largest in Europe. The aim of this analysis was to identify factors that influence this difference in population-based sample of middle- and older-age men and women from Lithuanian arm of the HAPIEE Study. Methods Data come from the Lithuanian part of international Health, Alcohol and Psychosocial Factors In Eastern Europe (HAPIEE) longitudinal cohort study. The analytical sample included 3729 women and 3062 men aged 45-74 years at the study baseline. The study outcomes were all-cause, CVD and cancer mortality (mean follow-up approx. 10 years). Gender difference in study outcomes, and the role of wide range of socioeconomic, demographic, behavioural, metabolic and psychosocial covariates in this association was tested by regression modelling. Results There were 913 deaths (576 in men) during the follow-up. Men had higher odds of mortality compared to women: for all-causes OR 2.42 (95% CI 2.09-2.81); for CVD 2.48 (2.03-3.08); for cancer 1.92 (1.54-2.38). BMI was identified as an effect modifier for all-cause and cancer mortality. When adjusted for confounders such as smoking, alcohol consumption or paid work, and stratified for BMI, the gender difference reduced a little for CVD mortality but remained virtually unchanged for all-cause and cancer mortality. Conclusions We found substantial and statistically significant gender inequalities in mortality in this Lithuanian study. We found that men aged 45+ years were approximately two times more likely to die than women, with CVD mortality difference being even larger. Additionally, most of gender difference in mortality remained unexplained by the main social, psychosocial, behavioural and metabolic risk factors. Key messages • Large gender inequalities in mortality have been observed in this Lithuanian study of middle- and older-age men and women. • Most of the inequalities have not been explained by available social, psychosocial, behavioural and metabolic risk factors.

Measuring the burden of accidental injuries in India: a cross-sectional analysis of the National Sample Survey (2017–18)

Globally, injuries are the leading cause of premature deaths and disability and account for nearly 9 per cent of total deaths worldwide. Like other countries, India also faces a very high burden of injuries, with the second most common cause of death and disability. Annually, 0.15 million people lose their lives due to accidental injuries/road traffic accidents in India, which is 11 per cent of the accident-related death worldwide. This study aims to analyse the socio-economic and demographic differentials in the magnitude of economic burden and coping strategies associated with accidental injuries in India. The study used the nationally representative cross-sectional data on the ‘Key Indicators of Social Consumption in India: Health, (2017–18)’ of the National Sample Survey Organisation (NSSO). Simple descriptive statistics have been used to measure the incidence and intensity of accidental injuries. The economic burden is estimated through out-of-pocket (OOP) health expenditure on accidental injuries and the use of different sources of finance to cope with the same. In addition, the logistic regression analysis has been used to analyse the association between socio-economic covariates and the likelihood of suffering from accidental injuries in India. The findings reveal that, unlike outpatient care, the high incidence in inpatient care reveals that hospitalisation is inevitable in most cases after accidental injuries. Among various socio-economic variables, the incidence of accidental cases is higher among individuals residing in urban areas, males, educated persons, and economically better-off sections of society. Also, the mean monthly OOP expenditure on the accidental injuries-affected population has been estimated at INR 2672 .46 (US$ 41.06) and INR 3041.64 (US$ 47.09) in inpatient and outpatient care, respectively. Almost the same sections and the individuals who received insurance spend more OOP expenditure on accidental injuries. However, OOP expenditure as a share of total consumption expenditure (TCE) is significantly high among their counterparts, such as rural inhabitants, illiterates, scheduled castes, the very poor and those who do not have any kind of health insurance coverage. In addition to savings/income, individuals depend more on the distress sources such as borrowings and selling of household assets to meet their OOP health expenditure in India. In conclusion, the high incidence of accidental injuries threatens people more than some of the other ailments in India. A strict motor vehicle act, administrative and political determination, awareness campaigns through various media platforms, diverse road lane systems and traffic norms can help reduce accidental fatalities in the country. Reducing the economic burden of accidental injuries requires increasing public spending on healthcare services as a percentage share of the country’s GDP. Furthermore, comprehensive universal health insurance coverage for all, including each component of healthcare expenditure, is the need of the hour.

Rates of Surgical Consultations After Emergency Department Admission in Black and White Medicare Patients

A surgical consultation is a critical first step in the care of patients with emergency general surgery conditions. It is unknown if Black Medicare patients and White Medicare patients receive surgical consultations at similar rates when they are admitted from the emergency department. To determine whether Black Medicare patients have similar rates of surgical consultations when compared with White Medicare patients after being admitted from the emergency department with an emergency general surgery condition. This was a retrospective cohort study that took place at US hospitals with an emergency department and used a computational generalization of inverse propensity score weight to create patient populations with similar covariate distributions. Participants were Medicare patients age 65.5 years or older admitted from the emergency department for an emergency general surgery condition between July 1, 2015, and June 30, 2018. The analysis was performed during February 2022. Patients were classified into 1 of 5 emergency general surgery condition categories based on principal diagnosis codes: colorectal, general abdominal, hepatopancreatobiliary, intestinal obstruction, and upper gastrointestinal. Black vs White race. Receipt of a surgical consultation after admission from the emergency department with an emergency general surgery condition. A total of 1 686 940 patients were included in the study. Of those included, 214 788 patients were Black (12.7%) and 1 472 152 patients were White (87.3%). After standardizing for medical and diagnostic imaging covariates, Black patients had 14% lower odds of receiving a surgical consultation (odds ratio [OR], 0.86; 95% CI, 0.85-0.87) with a risk difference of -3.17 (95% CI, -3.41 to -2.92). After standardizing for socioeconomic covariates, Black patients remained at an 11% lower odds of receiving a surgical consultation compared with similar White patients (OR, 0.89; 95% CI, 0.88-0.90) with a risk difference of -2.49 (95% CI, -2.75 to -2.23). Additionally, when restricting the analysis to Black patients and White patients who were treated in the same hospitals, Black patients had 8% lower odds of receiving a surgical consultation when compared with White patients (OR, 0.92; 95% CI, 0.90-0.93) with a risk difference of -1.82 (95% CI, -2.18 to -1.46). In this study, Black Medicare patients had lower odds of receiving a surgical consultation after being admitted from the emergency department with an emergency general surgery condition when compared with similar White Medicare patients. These disparities in consultation rates cannot be fully attributed to medical comorbidities, insurance status, socioeconomic factors, or individual hospital-level effects.

Renin: Measurements, Correlates, and Associations With Long-Term Adverse Kidney Outcomes.

The association of renin with adverse kidney outcomes is largely unknown, and renin measurement strategies vary. We aimed to measure the clinical correlates of different renin measurements and the association between renin and incident chronic kidney disease (CKD), end-stage kidney disease (ESKD), and mortality. We performed a prospective cohort analysis of 9,420 participants in the Atherosclerosis Risk in Communities study followed from 1996 to 1998 through 2019. We estimated longitudinal associations of renin measured using SomaScan modified nucleotide aptamer assay with incident CKD, ESKD, and death using Cox proportional hazards models. Using samples from a subsequent study visit, we compared SomaScan renin with plasma renin activity (PRA) and renin level from Olink, and estimated associations with covariates using univariate and multivariable regression. Higher SomaScan renin levels were associated with a higher risk of incident CKD (hazard ratio per two-fold higher [HR], 1.14; 95% confidence interval [CI], 1.09 to 1.20), ESKD (HR, 1.20; 95% CI, 1.03 to 1.41), and mortality (HR, 1.08; 95% CI, 1.04 to 1.13) in analyses adjusted for demographic, clinical, and socioeconomic covariates. SomaScan renin was moderately correlated with PRA (r = 0.61) and highly correlated with Olink renin (r = 0.94). SomaScan renin and PRA had similar clinical correlates except for divergent associations with age and beta-blocker use, both of which correlated positively with SomaScan renin but negatively with PRA. SomaScan aptamer-based renin level was associated with a higher risk of CKD, ESKD, and mortality. It was moderately correlated with PRA, sharing generally similar clinical covariate associations.

Counterfactual assessment of protected area avoided deforestation in Cambodia: Trends in effectiveness, spillover effects and the influence of establishment date

Whilst protected area (PA) networks remain a cornerstone of global conservation efforts, persistent underfunding alongside the increasing severity of environmental degradation has furthered interest in quantifying the ecological benefits they generate. However, the counterfactual assessment of measures of effectiveness, such as avoided deforestation relative to unprotected areas, are confounded by the non-random siting of PAs within landscapes, which creates differential resource extraction pressures. Quasi-experimental techniques such as statistical matching can account for differential pressures by selecting suitable control areas for comparison by minimising variance across a suite of environmental and socio-economic covariates. This study presents a national scale assessment of PA effectiveness for Cambodia, involving 46 PAs, employing nearest-neighbour propensity score matching using 8 covariates, with repeated random sampling, to quantify avoided deforestation in 3 different outcome periods between 2010 and 2018. The results demonstrate that, despite historic criticism, Cambodia’s PAs generated significant positive avoided deforestation in all periods, with forested land in PAs being as much as 12.5 % less likely to be deforested than matched unprotected forest. However, effect size declined over subsequent time periods likely due to a combination of rising deforestation pressure from agri-business concessions, followed by a large-scale expansion of the PA estate and institutional rearrangements. The effectiveness of PAs in Cambodia varied with respect to PA age and a significant positive spillover effect of PAs (maximum of 5.9 % reduction in deforestation probability) was observed in 2 km buffer zones of increasing distance to PA boundaries. Our findings are consistent with studies of other PA networks that report heterogeneous effects for these phenomena.

Effect of a conditional cash transfer programme on AIDS incidence, hospitalisations, and mortality in Brazil: a longitudinal ecological study

One of the biggest challenges of the response to the AIDS epidemic is to reach the poorest people. In 2004, Brazil implemented one of the world's largest conditional cash transfer programmes, the Bolsa Família Programme (BFP). We aimed to evaluate the effect of BFP coverage on AIDS incidence, hospitalisations, and mortality in Brazil. In this longitudinal ecological study, we developed a conceptual framework linking key mechanisms of BFP effects on AIDS indicators and used ecological panel data from 5507 Brazilian municipalities over the period of 2004-18. We used government sources to calculate municipal-level AIDS incidence, hospitalisation, and mortality rates, and used multivariable regressions analyses of panel data with fixed-effects negative binomial models to estimate the effect of BFP coverage, which was classified as low (0-29%), intermediate (30-69%), and high (≥70%), on AIDS indicators, while adjusting for all relevant demographic, socioeconomic, and health-care covariates at the municipal level. Between 2004 and 2018, in the municipalities under study, 601 977 new cases of AIDS were notified, of which 376 772 (62·6%) were in males older than 14 years, 212 465 (35·3%) were in females older than 14 years, and 12 740 (2·1%) were in children aged 14 years or younger. 533 624 HIV/AIDS-related hospitalisations, and 176 868 AIDS-related deaths had been notified. High BFP coverage was associated with reductions in incidence rate ratios of 5·1% (95% CI 0·9-9·1) for AIDS incidence, 14·3% (7·7-20·5) for HIV/AIDS hospitalisations, and 12·0% (5·2-18·4) for AIDS mortality. The effect of the BFP on AIDS indicators was more pronounced in municipalities with higher AIDS endemicity levels, with reductions in incidence rate ratios of 12·7% (95% CI 5·4-19·4) for AIDS incidence, 21·1% (10·7-30·2) for HIV/AIDS hospitalisations, and 14·7% (3·2-24·9) for AIDS-related mortality, and reductions in AIDS incidence of 14·6% (5·9-22·5) in females older than 14 years, 9·7% (1·4-17·3) in males older than 14 years, and 24·5% (0·5-42·7) in children aged 14 years or younger. The effect of BFP coverage on AIDS indicators in Brazil could be explained by the reduction of households' poverty and by BFP health-related conditionalities. The protection of the most vulnerable populations through conditional cash transfers could contribute to the reduction of AIDS burden in low-income and middle-income countries. US National Institute of Allergy and Infectious Diseases, National Institutes of Health. For the Portugese translation of the abstract see Supplementary Materials section.

The impact of race on utilization of durable left ventricular assist device therapy in patients with advanced heart failure.

Heart failure affects >6 million people in the United States aloneand is most prevalent in Black patients who suffer the highest mortality risk. Yet prior studies have suggested that Black patients are less likely to receive advanced heart failure therapy. We hypothesized that Black patients would have decreased rates of durable left ventricular assist device (LVAD) implantation within our expansive heart failure program. A retrospective single-center cohort study was conducted at a single high-volume academic medical center. Patients between 18 and 85 years admitted with a diagnosis of cardiogenic shock or congestive heart failure between 1, 2013 and 12, 2017 with a left ventricular ejection fraction < 30% and inotropic dependence or need for mechanical circulatory support were included. Patients with contraindications to durable LVAD were excluded. An adjusted logistic regression model for durable LVAD implantation within 90 days of the index admission was used to determine the effect of race on durable LVAD implantation. Among the 702 study patients (60.9% White, 34.1% Black), durable LVAD implantation was performed within 90 days of the index admission in 183 (26%) of the cohort. After multivariate analysis, Black patients were not found to have a statistically significant difference in durable LVAD implantation rates compared to White patients in our study (OR: 0.68 [95%confidence interval: 0.45-1.04; p: .074]). Black patients in our study did not have a statistically significant difference in the rate of durable LVAD implantation compared with White patients after adjustments were made for age, sex, socioeconomic, and clinical covariates. Larger prospective studies are needed to validate these findings.