Cross-sectional Ecological Study Research Articles

Investigating health risk behavior disparities in the United States with finite mixture modeling

Health disparities are ongoing challenges in the United States, with one of the underlying factors being the variation in health risk behaviors across different socioeconomic and demographic communities. In this cross-sectional ecological study, utilizing data from 26,781 US zip codes provided by the Centers for Disease Control and Prevention (CDC), we conducted generalized linear model regressions to explore the associations between race, poverty, education, and urban/rural status in areas. Our analysis indicated that areas with a higher prevalence of Black population and higher poverty levels are associated with a more significant number of unique health risk behaviors. Conversely, other racial groups were associated with fewer unique health risk behaviors, although they may still engage in higher levels of specific behaviors. These insights underscore the need for tailored public health strategies to address the disparities in health risk behaviors across different sub-populations. Additionally, we employed Finite Mixture Modeling (FMM) to identify distinct sub-populations in the United States based on health risk behaviors, specifically binge drinking, smoking, sleep deprivation, and physical inactivity, which are essential risk factors for chronic diseases such as cancer, diabetes, and cardiovascular diseases. We identified four clusters and conducted an in-depth analysis of the demographics and socioeconomic characteristics of the identified clusters. Our findings reveal that one cluster, characterized by the worst health risk behaviors, exhibited the highest poverty rate, the least favorable health insurance profile, and the lowest frequencies of post-secondary education attainment compared to the other three clusters. This cluster, therefore, warrants targeted public health interventions.

Racial capitalism and firearm violence: Developing a theoretical framework for firearm violence research examining structural racism

Despite the early promise of centering structural racism in explanatory models of firearm violence, there are noticeable gaps in what's been produced thus far; in particular, a deeper and more serious engagement with long-standing theories of racism is needed to further enrich our understanding of how structural inequalities produce unequal burdens of firearm-related harms. Thus, building on theories and concepts from a range of academic fields and Black philosophical perspectives, we developed a theoretical framework to help explain the role of place-based structural racism on firearm violence disparities. A central component of our framework is the concept racial capitalism, which contends that racial exploitation and the accumulation of assets depend on and reinforce one another. In this article, we present our framework and highlight how two processes related to racial capitalism—racialized dispossession and racialized spatial stigma—are connected with geographic disparities in firearm violence. We also present the results of an ecological cross-sectional study that reveals a potential key association between racial capitalism and firearm violence disparities on the neighborhood-level. We used a structural intersectionality approach and descriptive epidemiological methods to highlight and quantitatively describe spatial firearm violence disparities that could potentially be linked to the varying exposure of two dimensions of racial capitalism—historical redlining and contemporary racialized subprime mortgage lending. We found that sustained disadvantaged census tracts (tracts that were historically redlined and experienced higher contemporary subprime lending) experienced the highest burden of firearm violence in Baltimore City between 2015 and 2019. Our research suggests that racial capitalism could potentially be a root cause of firearm violence disparities. A theoretical framework based on racial capitalism can inform the development and usage of indicators and analytic methods for racism-related firearm violence research. Moreover, this framework can identify factors to prioritize in equity-based violence prevention policies and programs.

Special Supplemental Nutrition Program for Women, Infants, and Children Enrollment and Adverse Pregnancy Outcomes Among Nulliparous Individuals.

To evaluate the relationship between changes in Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) enrollment during pregnancy from 2016 to 2019 and rates of adverse pregnancy outcomes in U.S. counties in 2019. We conducted a serial, cross-sectional ecologic study at the county level using National Center for Health Statistics natality data from 2016 to 2019 of nulliparous individuals eligible for WIC. The exposure was the change in county-level WIC enrollment from 2016 to 2019 (increase [more than 0%] vs no change or decrease [0% or less]). Outcomes were adverse pregnancy outcomes assessed in 2019 and included maternal outcomes (ie, gestational diabetes mellitus [GDM], hypertensive disorders of pregnancy, cesarean delivery, intensive care unit [ICU] admission, and transfusion) and neonatal outcomes (ie, large for gestational age [LGA], small for gestational age [SGA], preterm birth, and neonatal intensive care unit [NICU] admission). Among 1,945,914 deliveries from 3,120 U.S. counties, the age-standardized rate of WIC enrollment decreased from 73.1 (95% CI, 73.0-73.2) per 100 live births in 2016 to 66.1 (95% CI, 66.0-66.2) per 100 live births in 2019, for a mean annual percent change decrease of 3.2% (95% CI, -3.7% to -2.9%) per year. Compared with individuals in counties in which WIC enrollment decreased or did not change, individuals living in counties in which WIC enrollment increased had lower rates of maternal adverse pregnancy outcomes, including GDM (adjusted odds ratio [aOR] 0.71, 95% CI, 0.57-0.89), ICU admission (aOR 0.47, 95% CI, 0.34-0.65), and transfusion (aOR 0.68, 95% CI, 0.53-0.88), and neonatal adverse pregnancy outcomes, including preterm birth (aOR 0.71, 95% CI, 0.56-0.90) and NICU admission (aOR 0.77, 95% CI, 0.60-0.97), but not cesarean delivery, hypertensive disorders of pregnancy, or LGA or SGA birth. Increasing WIC enrollment during pregnancy at the county level was associated with a lower risk of adverse pregnancy outcomes. In an era when WIC enrollment has decreased and food and nutrition insecurity has increased, efforts are needed to increase WIC enrollment among eligible individuals in pregnancy.

Health inequalities and their relationship with socioeconomic indicators in the Maresme region (Catalonia): A cross-sectional ecological study.

Health inequalities are universal, but their magnitude and determinants vary according to geographic areas, and understanding variations is essential to designing and implementing preventive and corrective policies. Our objective was to evaluate health inequalities in the Maresme region (Catalonia, Spain) and the relationship with socioeconomic indicators. Cross-sectional ecological study (2017). SITE: Maresme region. Population assigned to any of the Maresme's 21 basic health areas (BHAs). Sociodemographic, socioeconomic, health, and health resource use indicators published by the Catalan Health Service's Information and Knowledge Unit. Differences observed between BHAs were 49% in mortality, 266% in diabetes incidence, 348% in stroke incidence, and 89% in hospitalizations. In the most compared to the least disadvantaged BHAs, socioeconomic deprivation, as measured by the socioeconomic index (SEI), was 4.6 times greater and the percentage population with low educational attainment (EA) was 3.7 times higher. Greater deprivation was associated with greater prevalence of diabetes, chronic obstructive pulmonary disease, and high blood pressure, and greater incidence of diabetes, ischemic heart disease, and cancer. Likewise, a greater percentage population with low EA was associated with higher premature mortality and avoidable hospitalizations. Great variation exists in socioeconomic, health, and health resource use between the different Maresme BHAs. Socioeconomic deprivation is strongly correlated with the prevalence and incidence of certain chronic diseases, and low EA is correlated with premature mortality and avoidable hospitalizations. Our findings point to the urgency of taking health inequalities into account in designing and implementing healthcare strategies, programs, and policies.

An ecological study shows increased prevalence of autism spectrum disorder in children living in a heavily polluted area

The burden of autism spectrum disorder (ASD) is increasing worldwide with genetic, epigenetic, and environmental factors being possibly responsible for the observed epidemiological figures. In the setting of environmental exposure, the city of Taranto, in Southern Italy, represents an interesting case study as it hosts well inside the city one of the biggest steel plants in Europe. This is a cross-sectional ecological study carried out in the year 2020 in the province of Taranto designed to estimate the burden of ASD in the municipalities of Taranto and Statte, classified as high environmental risk areas (Contaminated Site of National Interest—SIN), compared to the other 27 municipalities of the same province. Differences have been evaluated using the Chi Square Test. Children aged 6–11 years identified in SIN municipalities had a statistically significant higher prevalence of ASD than children of other municipalities (9.58 vs. 6.66/1000 respectively, p = 0.002). No statistically significant difference was observed for the 12–18 years group (3.41 vs. 2.54/1000, p = 0.12). The findings observed in this study are suggestive of the association between urban residential proximity to industrial facilities emitting air pollutants and higher ASD prevalence.

Racial and economic segregation and diabetes mortality in the USA, 2016–2020

BackgroundThe purpose of this study was to examine the association between racial and economic segregation and diabetes mortality among US counties from 2016 to 2020.MethodsWe conducted a cross-sectional ecological study...

Mental Health Hospitalizations in Canadian Children, Adolescents, and Young Adults Over the COVID-19 Pandemic

The COVID-19 pandemic resulted in multiple socially restrictive public health measures and reported negative mental health impacts in youths. Few studies have evaluated incidence rates by sex, region, and social determinants across an entire population. To estimate the incidence of hospitalizations for mental health conditions, stratified by sex, region, and social determinants, in children and adolescents (hereinafter referred to as youths) and young adults comparing the prepandemic and pandemic-prevalent periods. This Canadian population-based repeated ecological cross-sectional study used health administrative data, extending from April 1, 2016, to March 31, 2023. All youths and young adults from 6 to 20 years of age in each of the Canadian provinces and territories were included. Data were provided by the Canadian Institute for Health Information for all provinces except Quebec; the Institut National d'Excellence en Santé et en Services Sociaux provided aggregate data for Quebec. The COVID-19-prevalent period, defined as April 1, 2020, to March 31, 2023. The main outcome measures were the prepandemic and COVID-19-prevalent incidence rates of hospitalizations for anxiety, mood disorders, eating disorders, schizophrenia or psychosis, personality disorders, substance-related disorders, and self-harm. Secondary measures included hospitalization differences by sex, age group, and deprivation as well as emergency department visits for the same mental health conditions. Among Canadian youths and young adults during the study period, there were 218 101 hospitalizations for mental health conditions (ages 6 to 11 years: 5.8%, 12 to 17 years: 66.9%, and 18 to 20 years: 27.3%; 66.0% female). The rate of mental health hospitalizations decreased from 51.6 to 47.9 per 10 000 person-years between the prepandemic and COVID-19-prevalent years. However, the pandemic was associated with a rise in hospitalizations for anxiety (incidence rate ratio [IRR], 1.11; 95% CI, 1.08-1.14), personality disorders (IRR, 1.21; 95% CI, 1.16-1.25), suicide and self-harm (IRR, 1.10; 95% CI, 1.07-1.13), and eating disorders (IRR, 1.66; 95% CI, 1.60-1.73) in females and for eating disorders (IRR, 1.47; 95% CI, 1.31-1.67) in males. In both sexes, there was a decrease in hospitalizations for mood disorders (IRR, 0.84; 95% CI, 0.83-0.86), substance-related disorders (IRR, 0.83; 95% CI, 0.81-0.86), and other mental health disorders (IRR, 0.78; 95% CI, 0.76-0.79). This cross-sectional study of Canadian youths and young adults found a rise in anxiety, personality disorders, and suicidality in females and a rise in eating disorders in both sexes in the COVID-19-prevalent period. These results suggest that in future pandemics, policymakers should support youths and young adults who are particularly vulnerable to deterioration in mental health conditions during public health restrictions, including eating disorders, anxiety, and suicidality.

Global Associations of the Traditional Japanese Diet Score with Hypertension Prevalence and Systolic Blood Pressure from 2009 to 2019: A Cross-Sectional and Longitudinal Ecological Study

Objective Prevention and improvement of hypertension is one of the most important health issues worldwide. The traditional Japanese diet contributes to the prevention of some non-communicable diseases associated with hypertension. However, whether traditional Japanese dietary patterns are associated with hypertension prevalence and systolic blood pressure (SBP) worldwide remains unknown. In this study, we aimed to investigate whether the traditional Japanese diet score (TJDS) is associated with hypertension prevalence and SBP. Methods This cross-sectional and longitudinal ecological study from 2009 to 2019 included 141 countries with a population of at least 1 million. All data used for analysis were obtained from internationally available databases. The TJDS was calculated using country-specific supplies of five foods commonly eaten in the traditional Japanese diet (rice, fish, soybean, vegetables, and egg) and three less commonly eaten foods (wheat, milk, and red meat). Hypertension was defined by SBP ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or use of antihypertensive medications. The mean SBP was >25 age-standardized data. A general linear model was used for the cross-sectional model in 2009, and a linear mixed model was used for the longitudinal analysis from 2009 to 2019. The covariates included gross domestic product, percentage of population aged >65 years, years of education, smoking rate, average body mass index, physical activity, and energy supply. Results The TJDS was negatively associated with hypertension prevalence (β ± standard error: −0.861 ± 0.202, p < 0.001) and SBP (β ± standard error: −0.364 ± 0.154, p < 0.05) in the cross-sectional analysis. The TJDS was significantly negatively associated with hypertension prevalence (β ± standard error: −0.845 ± 0.200, p < 0.001) and SBP (β ± standard error: −0.312 ± 0.149, p < 0.05) in the 10-year longitudinal analysis controlled for full covariables. Conclusions Traditional Japanese dietary patterns are associated with lower hypertension prevalence and SBP worldwide.

High school rugby coaches’ knowledge and opinions of concussion in KwaZulu Natal province in South Africa: an ecological cross-sectional study

BackgroundConcussions in Rugby Union are common with an increased risk to adolescent players. Coaches are key to injury prevention and a greater understanding of their knowledge and sentiments may guide future initiatives. There is a lack of data on rugby coaches, especially in South Africa. This study aimed to investigate the knowledge and opinions of high school rugby coaches regarding concussion management.MethodsThis cross-sectional study of 37 high school rugby coaches in South Africa, was conducted via a self-reported questionnaire. Concussion knowledge was scored for correct answers only with closed-question scaling methods to measure the importance of items of concussion management using a graphical rating scale. An attitude scale (Likert) was used to assess self-reported opinions and behaviours. Associations were calculated for participant characteristics and overall concussion injury knowledge.ResultsMore participants showed good overall knowledge of ≥ 75% (n = 22, 59% vs. n = 15, 40%), especially those with greater coaching experience (p = 0.021). Player welfare was perceived more important than player performance (185 vs. 164), with concussion prevention most important (184 of 185). Appealing characteristics of an injury prevention programme were the improvement of player skill (173, SD ± 0.75, mean 4.68), being adaptable (171, ± 0.86, 4.62), and being completed in the warm-up (167, ± 0.93, 4.51). The biggest perceived barriers were duration (138, ± 1.59, mean 3.73), effort (130, ± 1.56, 3.51), compliance and lack of knowledge (both 127, ± 1.68, 3.43).ConclusionThese results support the implementation of ongoing concussion education for rugby coaches and identify areas for promoting awareness and knowledge of concussion injury prevention, identification, and specific management of younger athletes. Appealing characteristics and barriers are highlighted and may allow for improved implementation and adherence to concussion prevention programmes.

Inequity in access to digital public primary healthcare in Sweden: a cross-sectional study of the effects of urbanicity and socioeconomic status on utilization.

Social and geographical inequity in access to primary healthcare is an ongoing concern in Sweden. Digital care can potentially decrease geographical inequity. This study aimed to evaluate how urbanicity affects the utilization of a public digital primary healthcare service - PHC Online. We performed an ecological cross-sectional study of 4,482 PHC Online visits grouped by 83 public primary healthcare centers. Multiple linear regression analysis was performed with PHC Online visits per 1,000 registered patients as the dependent variable and urbanicity (municipalities grouped by number of inhabitants), socioeconomic status (Care Need Index), and morbidity (Adjusted Clinical Groups) per primary healthcare center as independent variables. Utilization of PHC Online was more common among those of a younger age (median 32 years) and among women (65%). Urbanicity did not affect utilization. Lower socioeconomic status and higher morbidity had negative effects on utilization (B -3.289, p = 0.001, B -7.728, p = 0.045). Geographical differences based on urbanicity do not seem to affect the utilization of PHC Online. Further studies are needed to clarify a possible association to geographical barriers in access to primary healthcare, specifically accounting for factors associated with urbanicity and distance to physical clinics, and how age and sex affect such an association. Lower utilization of PHC Online in low socioeconomic status and high morbidity populations raises questions on the effect of digital primary care on equitable access to primary healthcare.

Hospitalizations for Cardiovascular Diseases Sensitive to Primary Health Care in Paraná State, Brazil: A Bayesian Spatiotemporal Model.

To analyze spatiotemporal trends in hospitalizations for cardiovascular diseases (CVD) sensitive to primary health care (PHC) among individuals aged 50-69 years in Paraná State, Brazil, from 2014 to 2019 and investigate correlations between PHC services and the Social Development Index. We conducted a cross-sectional ecological study using publicly available secondary data to analyze the municipal incidence of hospitalizations for CVD sensitive to PHC and to estimate the risk of hospitalization for this group of diseases and associated factors using hierarchical Bayesian spatiotemporal modeling with Markov chain Monte Carlo simulation. There was a 5% decrease in the average rate of hospitalizations for PHC-sensitive CVD from 2014 to 2019. Regarding standardized hospitalization rate (SHR) according to population size, we found that no large municipality had an SHR >2. Likewise, a minority of these municipalities had SHR values of 1-2 (33%). However, many small and medium-sized municipalities had SHR values >2 (47% and 48%, respectively). A greater Social Development Index value served as a protective factor against hospitalizations, with a relative risk of 0.957 (95% credible interval, 0.929-0.984). The annual risk of hospitalization decreased over time; however, small municipalities had the greatest rates of hospitalization, indicating an increase in health inequity. The inverse association between social development and hospitalizations for CVD sensitive to PHC raises questions about intersectionality in health care.

Firearm-Related Lead Exposure and Child Lead Levels in the United States, 2012-2018

ObjectiveTo determine if firearm ownership is positively related to elevated child lead levels at a state-level, even when accounting for other sources of lead. Study designFor this cross-sectional ecological study, we investigated whether household firearm ownership rates (a proxy for firearm-related lead exposure) was associated with the prevalence of elevated child blood lead levels in 44 US States between 2012 and 2018. To account for potential confounding, we adjusted for other known lead exposures, poverty rate, population density, race, and calendar year. To address missing data, we used multiple imputation by chained equations. ResultsPrevalence of elevated child blood lead positively correlated with household firearm ownership and established predictors of lead exposure. In fully adjusted negative binomial regression models, child blood lead was positively associated with household firearm ownership and older housing; each interquartile range (14%) increase in household firearm ownership rate was associated with a 41% higher prevalence of childhood elevated blood lead (prevalence ratio: 1.41, 95% CI: 1.11-1.79). ConclusionThese data provide state-level evidence that firearms may be an important source of child lead exposure. More research is needed to substantiate this relationship and identify modifiable pathways of exposure at the individual level.

Examining the Role of Social Determinants of Health and COVID-19 Risk in 28 African Countries

While the impact of the pandemic has varied between and within countries, there are few published data on the relationship between social determinants of health (SDoH) and COVID-19 in Africa. This ecological cross-sectional study examines the relationship between COVID-19 risk and SDoH among 28 African countries. Included were countries with a recent demographic and health survey (years 2010 to 2018). The response variables were COVID-19 case rates and death rates (reported as of 15 August 2020); and the covariates comprised eight broad topics common to multiple SDoH frameworks aggregated to the country level: geography (urban residence), wealth index, education, employment, crowding, and access to information. A negative binomial regression was used to assess the association between aspects of SDoH and COVID-19 outcomes. Our analysis indicated that 1 in 4 (25.1%) households in study countries are without safe and clean water and a space for handwashing. The odds of COVID-19 morbidity and deaths were higher in countries with a high proportion of households without access to safe and clean water. Having a high proportional of educated women (1.003: 95% CI, 1.001–1.005) and living in a less crowded home (0.959: 95% CI, 0.920–1.000) were negatively associated with COVID-19 deaths, while being insured and owning a mobile phone predicted illness. Overall, aspects of SDoH contribute either negatively or positively to COVID-19 outcomes. Thus, addressing economic and environmental SDoH is critical for mitigating the spread of COVID-19 and re-emerging diseases on the African continent.

Analysis of the access of pregnant women to the first programmatic dental appointment: an ecological study.

To plan and evaluate public health policies, it is important to understand the influence of social factors on the quality and access to dental care. This study aimed to verify the potential association between the indicators of pregnant women receiving dental care and the social and health care indicators of cities in the Brazilian state of Minas Gerais. A cross-sectional ecological study was performed with secondary data from the Brazilian Institute of Geography and Statistics and the Health Care Department of the Ministry of Health regarding the cities of Minas Gerais. The study analyzed three health care indicators (such as more than six prenatal, the proportion of syphilis and human immunodeficiency virus tests, and oral health coverage) and four social indicators (average monthly wage, illiteracy rate, proportion of employed population, and rate of adequate sanitary sewerage). Bivariate analysis (Mann-Whitney test) and logistic regression were performed using Jamovi software. All of the indicators analyzed were associated with the access of pregnant women to dental care. However, in the regression models, only health care indicators remained statistically significant. Thus, although social indicators are associated with the access of pregnant women to dental appointments, access to primary health care and the teamwork of primary health care teams may overcome social inequality in the access of pregnant women to dental care.

Public Benefit Programs and Differential Associations With Child Maltreatment by Race and Ethnicity

Public benefit programs, including state spending on local, state, and federal-state partnership programs, have consistently been associated with overall reductions in child protective services (CPS) involvement. Inequities in eligibility and access to benefit programs may contribute to varying associations by race and ethnicity. To determine whether associations between state spending on benefit programs and rates of CPS investigations differ by race and ethnicity. This cross-sectional ecological study used repeated state-level measures of child maltreatment from the National Child Abuse and Neglect Data System and population estimates from the US Census Bureau for all Black, Hispanic, and White children. All 50 US states from October 1, 2009, through September 30, 2019 (fiscal years 2010-2019), were included. Data were collected and analyzed from May 13, 2022, to March 2, 2023. Annual state spending on benefit programs per person living below the federal poverty limit, total and by the following subcategories: (1) cash, housing, and in-kind; (2) housing infrastructure; (3) child care assistance; (4) refundable earned income tax credit; and (5) medical assistance programs. Race- and ethnicity-specific rates of CPS investigations. Generalized estimating equations, with repeated measures of states, an interaction between race and spending, and estimated incidence rate ratios (IRRs) and 95% CIs for incremental changes in spending of US $1000 per person living below the federal poverty limit were calculated after adjustment for federal spending, race- and ethnicity-specific child poverty rate, and year. A total of 493 state-year observations were included in the analysis. The association between total spending and CPS investigations differed significantly by race and ethnicity: there was an inverse association between total state spending and CPS investigations for White children (IRR, 0.94 [95% CI, 0.91-0.98]) but not for Black children (IRR, 0.98 [95% CI, 0.94-1.02]) or Hispanic children (IRR, 0.99 [95% CI, 0.95-1.03]) (P = .02 for interaction). Likewise, inverse associations were present for only White children with respect to all subcategories of state spending and differed significantly from Black and Hispanic children for all subcategories except the refundable earned income tax credit (eg, IRR for medical assistance programs for White children, 0.89 [95% CI, 0.82-0.96]; P = .005 for race and spending interaction term). These results raise concerns that benefit programs may add relative advantages for White children compared with Black and Hispanic children and contribute to racial and ethnic disparities in CPS investigations. States' eligibility criteria and distribution practices should be examined to promote equitable effects on adverse child outcomes.

Abstract 15662: Age-Adjusted Premature Cardiac Mortality Rate Among United States Counties by Social Vulnerability Index From 2018 to 2021

Background: Considerable differences in premature cardiovascular disease (CVD) mortality rates exist across counties in the United States. Ecological examination and the association with county-level social vulnerability Indices (SVI) are limited. Aims: This study provides an updated analysis of age-adjusted premature CVD mortality rates and association with county-level SVI from 2018 to 2021. Methods: In this ecological cross-sectional study, we used United States county-level CVD mortality data from the Centers for Disease Control and Prevention (CDC) WONDER database (2018-2021) for non-elderly adults (&lt;65 years) and CDC SVI classified into quartiles (1st least vulnerable and 4th most vulnerable). We calculated age-adjusted CVD mortality rates per 100,000 persons including Ischemic heart disease (IHD), stroke, heart failure, and hypertension ICD-10 codes: I20-I25, I60-I69, I50 and I10-I13, I15 respectively. A multivariable mixed negative binomial regression model with county intercept examined the association between SVI and CVD mortality rate adjusted for gender, and ethnicity. Results: Overall, the age-adjusted CVD mortality rate per 100,000 persons was 111.0 (IHD 68.1 (95% CI:67.8-68.4), stroke 8 (95% CI: 7.9-8.0), heart failure 3.7 (95% CI:3.6-3.8), and hypertension 26.3 (95% CI 26.1-26.5)), increasing in a stepwise manner from the 1st to 4th SVI quartile. Counties in the 4th quartile had significantly higher mortality compared to the 1st quartile for CVD IRR=2.5 (IHD IRR=2.27 (95% CI:1.65-3.11), stroke IRR=2.72 (95% CI: 1.84-4.02), heart failure IRR=2.84 (95% CI:1.74-4.62), and hypertension IRR=2.83 (95% CI 1.79-4.45)). Conclusions: We observed a higher premature CVD mortality rate in the most vulnerable compared to the least vulnerable counties, adjusting for demographic characteristics. Targeted public health interventions are needed to effectively mitigate the growing burden of premature CVD in vulnerable populations.

The impact of socioeconomic vulnerability on the incidence of COVID-19 in school students

Abstract Inequalities have been observed in the spread of COVID-19 due to higher incidence rates in environments with greater socioeconomic deprivation. The objective of this study was to analyse the relationship between socioeconomic level and the incidence of COVID-19 in students of schools in the city of Barcelona, in different epidemic waves. Cross-sectional ecological study on compulsory education students (N = 176,390). Unit of analysis: the 780 schools in the city. Study period: second (autumn 2020), third (winter 2020-21) and sixth epidemic waves (winter 2021-22). Dependent variable: Cumulative Incidence (CI) of COVID-19 among school students. Independent variables: complexity and ownership of the school, indexes in quartiles (being Q4 the most disadvantaged) of vulnerable students of the school and the Available Family Income (AFI) of the neighbourhood of the school. Stratified by sex and educational stage (Primary/Secondary). A bivariate and multivariate analysis was performed using Poisson regression to calculate crude Relative Risks and adjusted (aRR). As an impact measure, the Population Attributable Risk was calculated. In the second wave, 41% of the CI in primary boys was attributed to the vulnerability of the school (Q4: aRR=1.96 [1.10-3.50]), and 36% to a lower AFI in the neighbourhood of the school in secondary boys (Q4: aRR=3.18 [1.25-8.13]). Instead, in the sixth wave, taking Q4 as a reference, 35% of the CI in primary girls was attributed to lower vulnerability indices of the school (Q1: aRR=1.82 [1.52-2.20]), and 38% higher AFI from the neighbourhood of the school in secondary girls (Q1: aRR=1.99 [1.33-2.98]). In the third wave, the results are mixed and less significant in the models. The results obtained show that there was an inversion of the impact of social inequalities in the CI of COVID-19 in the second wave compared to the sixth. This reflects the need to delve into the contextual factors that favour the spread of communicable diseases. Key messages • The socioeconomic vulnerability of school students has been associated with a higher Cumulative Incidence of COVID-19 in the second wave, but this pattern has been reversed in the sixth wave. • Between 18 and 41% - depending on gender, educational level and epidemic wave- of the Cumulative Incidence of COVID-19 in Barcelona schools can be attributed to factors of socioeconomic deprivation.

Mortalidade infantil por causas evitáveis

Infant mortality refers to deaths of children under one year of age, subdivided into neonatal mortality (early and late neonatal) and post-neonatal mortality, being considered an indicator for assessing the population's health situation. The study aimed at describing the infant mortality rates due to preventable causes, in children under one year of age and in the state of Alagoas, during 2017. A descriptive and cross-sectional ecological study was carried out, with a quantitative approach on mortality rates in the age group of children under one year old, based on secondary data available in the Mortality Information System, by the Informatics Department of the Unified Health System (Departamento de Informática do Sistema Único de Saúde, [DATASUS]). This study was carried out from November to December 2019. During this period, in the state of Alagoas, 793 deaths due to preventable causes among children under five years of age were recorded in the Informatics Department of the Unified Health System. 83.98% (n=666) of these deaths corresponded to children under one year of age, with death cases in the early neonatal period being the most prevalent, followed by deaths in the post-neonatal and late neonatal periods. Among the cities in Alagoas, Maceió ranks first and Arapiraca is in second place in relation to the infant mortality rate.

Does shortage of GPs matter? A cross-sectional study of practice population life expectancy.

There are not enough GPs in England. Access to general practice and continuity of care are declining. To investigate whether practice characteristics are associated with life expectancy of practice populations. A cross-sectional ecological study of patient life expectancy from 2015-2019. Selection of independent variables was based on conceptual frameworks describing general practice's influence on outcomes. Sixteen non-correlated variables were entered into multivariable weighted regression models: population characteristics (Index of Multiple Deprivation, region, % White ethnicity, and % on diabetes register); practice organisation (total NHS payments to practices expressed as payment per registered patient, full-time equivalent fully qualified GPs, GP registrars, advanced nurse practitioners, other nurses, and receptionists per 1000 patients); access (% seen on the same day); clinical performance (% aged ≥45 years with blood pressure checked, % with chronic obstructive pulmonary disease vaccinated against flu, % with diabetes in glycaemic control, and % with coronary heart disease on antiplatelet therapy); and the therapeutic relationship (% continuity). Deprivation was strongly negatively associated with life expectancy. Regions outside London and White ethnicity were associated with lower life expectancy. Higher payment per patient, full-time equivalent fully qualified GPs per 1000 patients, continuity, % with chronic obstructive pulmonary disease having the flu vaccination, and % with diabetes with glycaemic control were associated with higher life expectancy; the % being seen on the same day was associated with higher life expectancy in males only. The variable aged ≥45 years with blood pressure checked was a negative predictor in females. The number of GPs, continuity of care, and access in England are declining, and it is worrying that these features of general practice were positively associated with life expectancy.

Young, Black/African American, and Latino communities are left behind despite legislative efforts in California to reduce HIV/STI disparities.

Sexually transmitted infections (STI) have been on the rise in the United States with racial/ethnic minority groups, gay and bisexual men, and youth experiencing the highest STI and HIV infection rates. In 2022, California became the first state in the nation to pass legislation, Senate Bill 306 (SB 306), requiring health care plans to cover the costs of home test kits for STIs, including HIV. This study examines provisions within SB 306 and its potential to reduce STI and HIV disparities among key demographic groups and geographic regions within California. Ecological cross-sectional study involving 58 California counties. Descriptive statistics and choropleth maps compared HIV/STI prevalence rates, uninsured rates, demographic composition, and healthcare provider coverage across California counties. Three geographically weighted Poisson regression analyses were conducted to separately examine the association between proportion of uninsured and HIV, gonorrhea, and chlamydia prevalence rates. HIV/STI rates were significantly and positively associated with the proportion of uninsured residents in Central and Southern California counties. These counties had a higher proportion of demographic groups vulnerable to HIV/STI including a large Latino, Black/African American, and younger (age 15-24) population but had a lower rate of healthcare providers with prescription authority for home testing kits, which is a requirement under SB 306. Cutting-edge solutions are needed to stem the rising tide of new STI and HIV infections. While SB 306 is novel and innovative in intent, its coverage gaps will increase disparities and inequities among historically underserved populations.