Cross-sectional Ecological Study Research Articles

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.

Access to mechanical thrombectomy and ischemic stroke mortality in Japan: a spatial ecological study.

Advances in stroke treatment have greatly improved outcomes; however, disparities in access to treatment might increase. Achieving equitable access to stroke treatment is a health policy challenge, as rapid treatment is essential for positive outcomes. This ecological cross-sectional study aimed to determine the relationship between the disparities in spatial accessibility to mechanical thrombectomy (SAMT) and stroke mortality rates in Japan, hypothesizing that disparities in SAMT may increase the differences in stroke mortality between regions. We used the average number of ischemic stroke (IS) deaths between 2020 and 2021 as the response variable; and SAMT, medical resources, and socioeconomic characteristics of each municipality as explanatory variables. A conditional autoregressive model was used to examine the association between the risk of stroke mortality and SAMT. The standardized mortality ratio (SMR) was mapped to understand the nationwide disparities in stroke mortality risk. The median number of IS deaths was 17.5 persons per year in the municipalities (2020 to 2021). The study also found that municipalities with low SAMT were located in the northern part of Japan. The non-spatial regression model results indicated that poor accessibility, a small proportion of bachelor's degrees or higher, and a high proportion of workers in secondary industries were related to high IS mortality. Three models were evaluated using spatial analysis; Model 1 with accessibility indicators alone, Model 2 with medical resources added to Model 1, and Model 3 with socioeconomic characteristics added to Model 2. In Models 1 and 2, the population-weighted spatial accessibility index (PWSAI) showed a significant negative relationship with stroke mortality. However, this was not evident in Model 3. Mapping using Model 3 showed that the high-risk areas were predominantly located in northern Japan, excluding Hokkaido. Access to mechanical thrombectomy was estimated, and regional differences were observed. The relationship between accessibility and IS mortality is unknown; however, regardless of accessibility, municipalities with a high proportion of workers in secondary industries and a small proportion with bachelor's degrees or above are at risk of death from stroke.

Relationship between meteorological factors and mortality in patients with coronavirus disease 2019: A cross-sectional study

BackgroundRecent studies on COVID-19 have demonstrated that poverty, comorbidities, race/ethnicity, population density, mobility, hygiene and use of masks are some of the important correlates of COVID-19 outcomes. In fact, weather conditions also play an important role in enhancing or eradicating health issues. Based on Chinese experience, the development of SARS and COVID-19 is partially associated with alterations in climate that align with the seasonal shifts of the “24 solar terms.” However, the applicability of this pattern to other countries, particularly the United States, which has the highest global incidence and mortality rates, remains subject to ongoing investigation. We need to find more evidence to in the U.S. states verify the relationship between meteorological factors and COVID-19 outcomes to provide epidemiological and environmental support for the COVID-19 pandemic prevention and resource preservation. ObjectiveTo evaluate the relationship between meteorological factors and Coronavirus Disease 2019 (COVID-19) mortality. MethodsWe conducted an ecological cross-sectional study to evaluate the relationship between meteorological factors (maximum temperature, minimum temperature, humidity, wind speed, precipitation, atmospheric pressure) and COVID-19 mortality. This retrospective observational study examines mortality rates among COVID-19 patients in the three US states, California, Texas, and New York, with the highest fatality numbers, between March 7, 2020 and March 7, 2021. The study draws upon data sourced from the publicly accessible Dryad database. The daily corresponding meteorological conditions were retrieved from the National Oceanic and Atmospheric Administration Global Meteorological website (https://www.ncei.noaa.gov/maps/hourly/). This study employed multivariate linear regression analysis to assess the correlation between six meteorological factors and COVID-19 mortality. Gaussian distribution models were utilized to generate smooth curves for examining the linear association between maximum or minimum temperature and mortality. Additionally, breakpoint analysis was conducted to evaluate the threshold effect of temperature. ResultsWe found that the death toll of patients with COVID-19 decreased with an increase in the highest and lowest ambient temperatures (p < 0.001). In our study, we observed a seasonal difference in mortality rates, with a higher number of deaths occurring during winter months, particularly in January and February. However, mortality rates decreased significantly in March. Notably, we found no statistically significant correlation between relative humidity, average precipitation, and average wind speed with COVID-19 mortality (all p > 0.05). Daily COVID-19 death was negatively correlated with the maximum temperature (β = −22, 95% CI, −26.2 to −17.79 –, p < 0.01), while the maximum temperature was below 30 °C. Similarly, the number of deaths was negatively correlated with the minimum temperature (β = −27.46, 95% CI, −31.48 to −23.45, p < 0.01), when the minimum temperature was below 8 °C. Our study found a significant association between temperature and COVID-19 mortality, with every 1 °C increase in maximum or minimum temperature resulting in a decrease of 22 and 27 deceased cases, respectively. The relationship between atmospheric pressure and COVID-19 mortality was not fully elucidated due to its complex interaction with maximum temperature. ConclusionsThis empirical study adds to the existing body of research on the impact of climate factors on COVID-19 prevention and resource allocation. Policymakers and health scientists may find these findings useful in conjunction with other social factors when making decisions related to COVID-19 prevention and resource allocation.

Exploring regional disparities in lung cancer mortality in a Brazilian state: A cross-sectional ecological study.

Lung cancer (LC) is one of the main causes of mortality in Brazil; geographic, cultural, socioeconomic and health access factors can affect the development of the disease. We explored the geospatial distribution of LC mortality, and associated factors, between 2015 and 2019, in Parana state, Brazil. We obtained mortality (from the Brazilian Health Informatics Department) and population rates (from the Brazilian Institute of Geography and Statistics [IBGE]) in people over 40 years old, accessibility of oncology centers by municipality, disease diagnosis rate (from Brazilian Ministry of Health), the tobacco production rate (IBGE) and Parana Municipal Performance Index (IPDM) (from Parana Institute for Economic and Social Development). Global Moran's Index and Local Indicators of Spatial Association were performed to evaluate the spatial distribution of LC mortality in Parana state. Ordinary Least Squares Regression and Geographically Weighted Regression were used to verify spatial association between LC mortality and socioeconomic indicators and health service coverage. A strong spatial autocorrelation of LC mortality was observed, with the detection of a large cluster of high LC mortality in the South of Parana state. Spatial regression analysis showed that all independent variables analyzed were directly related to LC mortality by municipality in Paraná. There is a disparity in the LC mortality in Parana state, and inequality of socioeconomic and accessibility to health care services could be associated with it. Our findings may help health managers to intensify actions in regions with vulnerability in the detection and treatment of LC.

Spatio-Temporal Analysis of Leptospirosis Hotspot Areas and Its Association With Hydroclimatic Factors in Selangor, Malaysia: Protocol for an Ecological Cross-sectional Study

Leptospirosis is considered a neglected zoonotic disease in temperate regions but an endemic disease in countries with tropical climates such as South America, Southern Asia, and Southeast Asia. There has been an increase in leptospirosis incidence in Malaysia from 1.45 to 25.94 cases per 100,000 population between 2005 and 2014. With increasing incidence in Selangor, Malaysia, and frequent climate change dynamics, a study on the disease hotspot areas and their association with the hydroclimatic factors would further enhance disease surveillance and public health interventions. This study aims to examine the association between the spatio-temporal distribution of leptospirosis hotspot areas from 2011 to 2019 with the hydroclimatic factors in Selangor using the geographical information system and remote sensing techniques to develop a leptospirosis hotspot predictive model. This will be an ecological cross-sectional study with geographical information system and remote sensing mapping and analysis concerning leptospirosis using secondary data. Leptospirosis cases in Selangor from January 2011 to December 2019 shall be obtained from the Selangor State Health Department. Laboratory-confirmed cases with data on the possible source of infection would be identified and georeferenced according to their longitude and latitudes. Topographic data consisting of subdistrict boundaries and the distribution of rivers in Selangor will be obtained from the Department of Survey and Mapping. The ArcGIS Pro software will be used to evaluate the clustering of the cases and mapped using the Getis-Ord Gi* tool. The satellite images for rainfall and land surface temperature will be acquired from the Giovanni National Aeronautics and Space Administration EarthData website and processed to obtain the average monthly values in millimeters and degrees Celsius. Meanwhile, the average monthly river hydrometric levels will be obtained from the Department of Drainage and Irrigation. Data are then inputted as thematic layers and in the ArcGIS software for further analysis. The artificial neural network analysis in artificial intelligence Phyton software will then be used to obtain the leptospirosis hotspot predictive model. This research was funded as of November 2022. Data collection, processing, and analysis commenced in December 2022, and the results of the study are expected to be published by the end of 2024. The leptospirosis distribution and clusters may be significantly associated with the hydroclimatic factors of rainfall, land surface temperature, and the river hydrometric level. This study will explore the associations of leptospirosis hotspot areas with the hydroclimatic factors in Selangor and subsequently the development of a leptospirosis predictive model. The constructed predictive model could potentially be used to design and enhance public health initiatives for disease prevention. PRR1-10.2196/43712.

Association of Food Deserts and Food Swamps With Obesity-Related Cancer Mortality in the US

Obesity-related cancers account for 40% of all cancers in the US. Healthy food consumption is a modifiable factor shown to reduce obesity-related cancer mortality, but residing in areas with less access to grocery stores (food deserts) or higher access to fast food (food swamps) reduces healthy food access and has been understudied. To analyze the association of food deserts and food swamps with obesity-related cancer mortality in the US. This cross-sectional ecologic study used US Department of Agriculture Food Environment Atlas data from 2012, 2014, 2015, 2017, and 2020 and Centers for Disease Control and Prevention mortality data from 2010 to 2020. A total of 3038 US counties or county equivalents with complete information on food environment scores and obesity-related cancer mortality data were included. An age-adjusted, generalized, mixed-effects regression model was performed for the association of food desert and food swamp scores with obesity-related cancer mortality rates. Data were analyzed from September 9, 2022, to September 30, 2022. Food swamp score was calculated as the ratio of fast-food and convenience stores to grocery stores and farmers markets. Higher food swamp and food desert scores (20.0 to ≥58.0) indicated counties with fewer healthy food resources. Obesity-related cancer (based on the International Agency for Research on Cancer evidence between obesity and 13 types of cancer) mortality rates were categorized as high (≥71.8 per 100 000 population) vs low (<71.8 per 100 000 population) per county. A total of 3038 counties or county equivalents with high obesity-related cancer mortality rates had a higher percentage of non-Hispanic Black residents (3.26% [IQR, 0.47%-26.35%] vs 1.77% [IQR, 0.43%-8.48%]), higher percentage of persons older than 65 years (15.71% [IQR, 13.73%-18.00%] vs 15.40% [IQR, 12.82%-18.09%]), higher poverty rates (19.00% [IQR, 14.20%-23.70%] vs 14.40% [IQR, 11.00%-18.50%]), higher adult obesity rates (33.00% [IQR, 32.00%-35.00%] vs 32.10% [IQR, 29.30%-33.20%]), and higher adult diabetes rates (12.50% [IQR, 11.00%-14.20%] vs 10.70% [IQR, 9.30%-12.40%]) compared with counties or county equivalents with low obesity-related cancer mortality. There was a 77% increased odds of having high obesity-related cancer mortality rates among US counties or county equivalents with high food swamp scores (adjusted odds ratio, 1.77; 95% CI, 1.43-2.19). A positive dose-response relationship among 3 levels of food desert and food swamp scores and obesity-related cancer mortality was also observed. The findings of this cross-sectional ecologic study suggest that policy makers, funding agencies, and community stakeholders should implement sustainable approaches to combating obesity and cancer and establishing access to healthier food, such as creating more walkable neighborhoods and community gardens.

Socio-demographic and Epidemiological Characterisation of Leprosy in the Population of Pará, Amazon, from 2016 to 2020

Objective: To describe the sociodemographic and epidemiological characteristics of the population with leprosy in the State of Pará from 2016 to 2020.&#x0D; Methodology: Cross-sectional ecological study, based on data from the Disease Information and Notification System (SINAN). The study was conductedin 144 municipalities in Pará, Amazon. The data were organised and distributed by 12 integration Regions.&#x0D; Results and Discussion: In the analysed data, a total of 11,687 cases of leprosy were verified in Pará from 2016 to 2020. Sociodemographic data showed a predominance in the male population, in the brown race, and in those with low education, this study demonstrated that leprosy is prevalent in vulnerable populations with low socioeconomic status, highlighting social inequalities. Conclusion: Monitoring epidemiological and operational indicators of leprosy is essential for evaluating programs and planning public health policies to contribute to epidemiological surveillance.

HLA-B27 positivity in a large miscegenated population of 5,389,143 healthy blood marrow donors in Brazil

BackgroundThe prevalence of HLA-B27 gene positivity in healthy Caucasian communities varies between 8 and 14%. However, there is a lack of information in countries with a high rate of miscegenation, such as Brazil.AimTo estimate the frequency of HLA-B27 in the Brazilian general population using a large national registry database.MethodsThis is a cross-sectional ecological study using the Brazilian Registry of Volunteer Bone Marrow Donors (REDOME) database on HLA-B27 allelic frequency and proportion of positives of healthy donors (18–60 years old). Data were analyzed according to sex, age, race (by self-reported skin color recommended by the Brazilian Institute of Geography and Statistics - IBGE), and geographic region of residence.ResultsFrom 1994 to 2022, a total of 5,389,143 healthy bone marrow donors were included. The overall positivity for HLA-B27 was 4.35% (CI 95% 4.32–4.37%), regardless of sex and age (57.2% were women, mean age was 41.7yo). However, there was a difference between races: 4.85% in Whites; 2.92% in Blacks; 3.76% in Pardos (Browns i.e. mixed races); 3.95% in Amarelos (Yellows i.e. Asian Brazilians); and 3.18% in Indigenous. There was also a difference regarding geographic region of residence (North: 3.62%; Northeast: 3.63%; Southeast: 4.29%; Midwest: 4.5% and 5.25% in South). The homozygosity rate for the HLA-B27 was 1.32% of all the positives and only 0.06% in the general population.ConclusionsOur findings provide the first Brazilian national prevalence for HLA-B27 in 4.35%. There is a gradient gene positivity from North to South, suggesting that the genetic background related to the miscegenation due to colonization, slavery, and some later waves of immigration together with internal migratory flows, could explain our findings.

Association of State Supplemental Nutrition Assistance Program Eligibility Policies With Adult Mental Health and Suicidality

Food insecurity is associated with an increased likelihood of poor mental health and suicidality. The Supplemental Nutrition Assistance Program (SNAP) is the largest program addressing food insecurity in the US; under broad-based categorical eligibility (BBCE), states have the option to expand SNAP eligibility to a greater number of households by eliminating the asset test or increasing the income limit for eligibility. To examine the association of state elimination of the asset test and increases in the income limit for SNAP eligibility with rates of mental health and suicidality outcomes among adults. This ecological cross-sectional study used 2014 to 2017 data on US adults from the National Vital Statistics System and 2015 to 2019 data on US adults from the National Survey on Drug Use and Health (NSDUH) State-Level Small Area Estimates. Analyses were conducted between September and November 2022. State elimination of the asset test only and state adoption of both SNAP eligibility policies (ie, state elimination of the asset test and increases in the income limit) for 2014 to 2017 from the SNAP Policy Database. Number of adults with a past-year major depressive disorder, mental illness, serious mental illness, or suicidal ideation and number of adults who died by suicide. Analyses included 407 391 adult NSDUH participants and 173 085 adults who died by suicide. State elimination of the asset test only was associated with decreased rates of past-year major depressive episodes (rate ratio [RR], 0.92; 95% CI, 0.87-0.98) and mental illness (RR, 0.91; 95% CI, 0.87-0.97) among adults. State adoption of both SNAP eligibility policies (ie, state elimination of the asset test and increases in the income limit) was associated with decreased rates of past-year major depressive episodes (RR, 0.92; 95% CI, 0.86-0.99), mental illness (RR, 0.92; 95% CI, 0.87-0.98), serious mental illness (RR, 0.91; 95% CI, 0.84-0.99), and suicidal ideation (RR, 0.89; 95% CI, 0.82-0.96). Results suggested a decreased rate of suicide death (RR, 0.93; 95% CI, 0.84-1.02) in states with both policies compared with states with neither policy, although this result was not statistically significant. State adoption of policies that expand SNAP eligibility may contribute to decreased rates of multiple mental health and suicidality outcomes at the population level.

Inequalities in COVID-19 vaccination coverage in Peru: An ecological study

ObjectiveTo assess the correlation between COVID-19 vaccination coverage and the Human Development Index (HDI) at the provincial level in Peru. Study designEcological study. MethodsWe conducted a cross-sectional ecological study based on secondary data analysis. Coverages of the first, second, and third doses of the vaccine against COVID-19 and the HDI were evaluated. The magnitude of the correlations was assessed using Spearman's rank correlation coefficients with their corresponding bootstrapped 95% confidence intervals (95% CI). Scatter plots were also constructed. ResultsA total of 196 provinces were included. There was a moderate correlation between the first dose of the COVID-19 vaccine and the HDI (r = 0.3807 [95% CI 0.2585–0.5030], p < 0.0001). The same direction was found for the second (r = 0.4064 [95% CI 0.2853–0.5276], p < 0.0001) and third dose (r = 0.4435 [95% CI 0.3201–0.5669], p < 0.0001). ConclusionsA positive correlation was found between COVID-19 vaccination coverage and the HDI, suggesting the presence of inequalities in access to vaccines. Individualised strategies are needed in lower HDI regions to tackle inequalities.

Comparison of Cancer Mortality and Incidence Between New Zealand and Australia and Reflection on Differences in Cancer Care: An Ecological Cross-Sectional Study of 2014-2018.

Despite many background similarities, New Zealand showed excess cancer deaths compared to Australia in previous studies. This study extends this comparison using the most recent data of 2014-2018. This study used publicly available cancer mortality and incidence data of New Zealand Ministry of Health and Australian Institute of Health and Welfare, and resident population data of Statistics New Zealand. Australian cancer mortality and incidence rates were applied to New Zealand population, by site of cancer, year, age and sex, to estimate the expected numbers, which were compared with the New Zealand observed numbers. For total cancers in 2014-2018, New Zealand had 780 excess deaths in women (17.1% of the annual total 4549; 95% confidence interval (CI) 15.8-18.4%), and 281 excess deaths in men (5.5% of the annual total 5105; 95% CI 4.3-6.7%) compared to Australia. The excess was contributed by many major cancers including colorectal, melanoma, and stomach cancer in both sexes; lung, uterine, and breast cancer in women, and prostate cancer in men. New Zealand's total cancer incidences were lower than those expected from Australia's in both women and men: average annual difference of 419 cases (-3.6% of the annual total 11505; 95% CI -4.5 to -2.8%), and 1485 (-11.7% of the annual total 12669; 95% CI -12.5 to -10.9%), respectively. Comparing time periods, the excesses in total cancer deaths in women were 15.1% in 2000-07, and 17.5% in 1996-1997; and in men 4.7% in 2000-2007 and 5.6% in 1996-1997. The differences by time period were non-significant. Excess mortality from all cancers combined and several common cancers in New Zealand, compared to Australia, persisted in 2014-2018, being similar to excesses in 2000-2007 and 1996-1997. It cannot be explained by differences in incidence, but may be attributable to various aspects of health systems governance and performance.

Inequalities in Violent Death across Income Levels among Young Males and Females in Countries of the Americas.

Violent deaths (i.e., those due to road traffic injury, homicide, and suicide) are among the most important causes of premature and preventable mortality in young people. This study aimed at exploring inequalities in violent death across income levels between males and females aged 10 to 24 years from the Americas in 2015, the SDG baseline year. In a cross-sectional ecological study design, eleven standard summary measures of health inequality were calculated separately for males and females and for each cause of violent death, using age-adjusted mortality rates and average income per capita for 17 countries, which accounted for 87.9% of the target population. Premature mortality due to road traffic injury and homicide showed a pro-poor inequality pattern, whereas premature mortality due to suicide showed a pro-rich inequality pattern. These inequalities were statistically significant (p < 0.001), particularly concentrated among young males, and dominated by homicide. The ample array of summary measures of health inequality tended to generate convergent results. Significant inequalities in violent death among young people seems to be in place across countries of the Americas, and they seem to be socially determined by both income and gender. These findings shed light on the epidemiology of violent death in young people and can inform priorities for regional public health action. However, further investigation is needed to confirm inequality patterns and to explore underlying mechanisms, age- and sex-specific vulnerabilities, and gender-based drivers of such inequalities.

Presidential Vote Share and COVID-19 Vaccination Rate in Indonesia: A District-level Cross-Sectional Ecological Study

Political affiliation has been reported as a determinant of COVID-19 vaccine acceptance in some countries, although few studies have examined the Asian context. This study aims to fill this gap by employing an ecological study design using Indonesian regions as data points. Political affiliation was represented by incumbent President Jokowi’s vote share in the 2019 presidential election. Potential confounders included population density, human development index, availability of hospitals and primary health care, 2019–2020 economic growth, COVID-19 mortality rate, and proportion of Muslims in the population. The final analysis included 201 out of 501 districts and cities in Indonesia. Controlling for confounders, multivariate regression found that Jokowi’s vote share was an independent predictor of vaccination rate, with standardized β and R2 values of 0.350 and 0.734 for the first dose vaccination rates and 0.251 and 0.782 for the second dose, respectively. This association may be underpinned by differences in religiosity, public trust, and vulnerability to misinformation between Jokowi’s supporters and the opposition. Improving public trust in a politically polarizing society is crucial to improving future coverage of COVID-19 and other vaccines.

Contextual factors associated with country-level suicide mortality in the Americas, 2000–2019: a cross-sectional ecological study

The suicide mortality rate in the Region of the Americas has been increasing, while decreasing in all other World Health Organization regions; highlighting the urgent need for enhanced prevention efforts. Gaining a better understanding of population-level contextual factors associated with suicide may aid such efforts. We aimed to evaluate the contextual factors associated with country-level, sex-specific suicide mortality rates in the Region of the Americas for 2000-2019. Annual sex-specific age-standardized suicide mortality estimates were obtained from the World Health Organization (WHO) Global Health Estimates database. To investigate the sex-specific suicide mortality rate trend over time in the region, we performed joinpoint regression analysis. We then applied a linear mixed model to estimate the effects of specific contextual factors on the suicide mortality rate across countries in the region over time. All potentially relevant contextual factors, obtained from the Global Burden of Disease Study 2019 covariates and The World Bank, were selected in a step-wise manner. We found that the mean country-level suicide mortality rate among males in the region decreased as health expenditure per capita and the proportion of the country with a moderate population density increased; and increased as the death rate due to homicide, prevalence of intravenous drug use, risk-weighted prevalence of alcohol use, and unemployment rate increased. The mean country-level suicide mortality rate among females in the region decreased as the number of employed medical doctors per 10,000 population and the proportion of the country with a moderate population density increased; and increased when relative education inequality and unemployment rate increased. Although there was some overlap, the contextual factors that significantly impacted the suicide mortality rate among males and females were largely different, which mirrors the current literature on individual-level risk factors for suicide. Taken together, our data supports that sex should be considered when adapting and testing suicide risk reduction interventions, and when developing national suicide prevention strategies. This work received no funding.

Association of State Expansion of Supplemental Nutrition Assistance Program Eligibility With Rates of Child Protective Services–Investigated Reports

States in the US have the option to eliminate the asset test and/or increase the income limit for Supplemental Nutrition Assistance Program (SNAP) eligibility under a policy called broad-based categorical eligibility (BBCE). Given associations of economic hardships, including food insecurity, with child protective services (CPS) involvement, state adoption of these policies may be associated with changes in rates of CPS-investigated reports. To examine the association of state elimination of the asset test and increases in the income limit for SNAP eligibility under BBCE with rates of CPS-investigated reports. This cross-sectional ecologic study used data from 2006 to 2019 obtained from the SNAP Policy Database and the National Child Abuse and Neglect Data System Child Files and difference-in-differences analyses. The data were analyzed from March to September 2022. The study used CPS-investigated reports for suspected child abuse and neglect from 37 US states to examine elimination of the asset test, from 36 states to examine increases in the income limit, and from 26 states to examine adoption of both policies. State elimination of the asset test, increases in the income limit, and adoption of both policies to expand SNAP eligibility. Number of CPS-investigated reports, overall and specifically for neglect and physical abuse, per 1000 child population. From 2006 to 2019 for all 50 states and the District of Columbia, there were a total of 29 213 245 CPS-investigated reports. By race and ethnicity, 19.8% of CPS-investigated reports were among non-Hispanic Black children and 45.7% among non-Hispanic White children (hereafter referred to as Black and White children). On average, there were 8.2 fewer CPS-investigated reports (95% CI, -12.6 to -4.0) per 1000 child population per year in states that eliminated the asset test, 5.0 fewer CPS-investigated reports (95% CI, -10.8 to 0.7) per 1000 child population per year in states that increased the income limit, and 9.3 fewer CPS-investigated reports (95% CI, -15.6 to -3.1) per 1000 child population per year in states that adopted both SNAP policies than there would have been if these states had not adopted these policies. There were decreases in CPS-investigated reports for neglect in states that adopted either or both policies, and small decreases in CPS-investigated reports for physical abuse in states that increased the income limit or adopted both policies. There were decreases in CPS-investigated reports among both Black and White children. For example, there were 6.5 fewer CPS-investigated reports among Black children (95% CI, -14.6 to 1.6) and 8.7 fewer CPS-investigated reports among White children (95% CI, -15.8 to -1.6) in states that adopted both SNAP policies than there would have been if these states had not adopted these policies. Results from this cross-sectional study suggest that state expansion of SNAP eligibility through elimination of the asset test and increases in the income limit may contribute to decreases in rates of CPS-investigated reports. These results can inform ongoing debates regarding SNAP policy options, specifically BBCE, and prevention efforts for child abuse and neglect.

Prevalence of dental fluorosis and dental caries among people consuming water in urban Vadodara

Introduction: High fluoride concentration in groundwater can result in endemic fluorosis and is a major public health problem in India. Aim: To know the association between prevalence of dental fluorosis and dental caries and fluoride level in the water in urban Vadodara. Methodology: An analytical ecological cross-sectional study was conducted in 4 zones of Vadodara district. Thirty-eight water samples were sent to Gujarat Ecology Society in Vadodara for chemical analysis to test fluoride levels. The data collection was made by house-to-house visit twice during the study involving 2,609 participant interviews. These participants included 449 children belonging to the age group of &lt;15 years. Examination for dental fluorosis and dental caries using Dean's criteria was done. Chi-Square and Mental Hensel Chi-Square were applied for statistical analysis. Results: The prevalence of dental fluorosis was 17.36% in high-fluoride areas and 22.46% in normal-fluoride areas among children (&lt;15 years of age). There was no statistically significant association in dental fluorosis between high-fluoride areas and normal-fluoride areas (P = 0.2533). The prevalence of dental caries was 29.26% in high-fluoride areas and 75.36% in normal-fluoride areas. There was a statistically significant association in dental caries between high-fluoride areas and normal-fluoride areas (P ≤ 0.0001). Conclusions: The risk of dental caries was clearly higher in the areas showing normal-fluoride content compared to places with high fluoride levels in drinking water. The risk of dental fluorosis was higher in area with high-fluoride level but the difference was not statistically significant.

Volunteer activity and the prevalence of long-term care/support needs among older Japanese people: a spatial error model

Background: Volunteer activities, one type of social participation, are important for preventing the need for long-term care/support. This study aimed to identify the associations between volunteer activities and prevalence of older people’s long-term care/support needs in Japan. Methods: This was a cross-sectional ecological study of data from 47 prefectures collected by Statistics Bureau of Japan. We performed model specification using ordinary least squares (OLS) and best subset selection to elucidate the associations between the prevalence of older people’s long-term care/support needs and their participation in volunteer activities for people aged ≥ 10 years. For spatially adjusted associations, we evaluated the variables using a spatial error model (SEM). Results: The mean prevalence of long-term care/support needs was higher for older female than male (male: 12.82%; female: 22.55%). Volunteer activities with the highest mean participation rates were local improvement activities (male: 15.20%; female: 11.94%) and activities for children (male: 6.74%; female: 10.45%). OLS and SEM indicated that safety promotion activities (OLS: B = −0.156, p = 0.010; SEM: B = −0.160, p = 0.049) and activities related to international cooperation (OLS: B = −1.086, p = 0.034; SEM: B = −1.041, p = 0.020) were associated with low prevalence of long-term care/support needs among male older people. In both models, conservation and environmental activities (OLS: B = −0.892, p = 0.019; SEM: B = −0.805, p = 0.015) and activities for children (OLS: B = −0.605, p = 0.003; SEM: B = −0.420, p=0.018) were associated with low prevalence for female older people. Conclusion: Volunteer activities in this study might effectively decrease the prevalence of long-term care/support needs among older people.

What is the role of particulate matter 2.5 (PM2.5) on excess weight? A cross-sectional study in young Spanish people aged 2─14 years

PurposeTo assess the relationship between particulate matter 2.5 (PM2.5) levels and the prevalence of excess weight in a representative sample of Spanish young people aged 2─14 years. MethodsThis was an ecological cross-sectional study using data from the 2017 wave of the Encuesta Nacional de Salud Española (ENSE), a nationally representative survey of the Spanish young and adult population. The final sample included 4378 young Spanish people (51.0% boys). The weight (kg) and height (cm) of the study participants were proxy-reported by parents or guardians. Excess weight was determined according to the age- and sex-criteria of the International Obesity Task Force. The PM2.5 level was calculated as the annual monitoring data indicator for 2017 among the different regions in Spain. Logistic regression models were performed to estimate the relationships between PM2.5 and weight. ResultsCompared to young people located in regions with low levels of PM2.5, those reporting greater odds for excess weight were found in regions with medium PM2.5 (OR = 1.23; 95% CI, 1.02–1.49) and high PM2.5 (OR = 1.35; 95% CI, 1.11–1.64) after adjusting for several sociodemographic, lifestyle and environmental covariates. ConclusionsThe prevalence of excess weight in young people was positively associated with PM2.5 levels in Spain. This finding supports the hypothesis that air pollution exposure can result in excess weight in the young population, which, in turn, might lead to the development of metabolic disorders. From a socioecological perspective, a practical need to take environmental factors into consideration is important to address unhealthy weight in Spanish young people.

Geographic Variation in Top-10 Prescribed Medicines and Potentially Inappropriate Medication in Portugal: An Ecological Study of 2.2 Million Older Adults.

Multiple medication intake by older adults is considered a serious public health concern since it is associated with increased risk of adverse drug reactions and potentially inappropriate medication (PIM). This study described the top-10 prescribed active substances considering geographical distribution and PIM prescription in older adults. A cross-sectional ecological study using data on the active substances prescribed to people aged 65 years or older during 2020 was conducted. Information on active substances and the respective defined daily doses (DDD) stratified by age group, sex and region were collected from a Portuguese health administrative database. The average number of prescribed packages and DDD per 1000 inhabitants per day of top-10 active substances were assessed. This study included a total of 2,228,090 older adults (58% females). The furosemide and atorvastatin were the active substances with higher prescription rates (mean DDD/1000 inhabitants/day) in all ARS in both males and females, in comparison with the other top-10 active substances. Our results showed geographic differences in prescription, illustrated by more prescriptions in ARS North and Centre and fewer prescriptions in ARS Algarve. In females, two out of the 10 most prescribed active substances were PIM (benzodiazepines and opioids). Geographic disparities in PIM prescription across Portuguese regions were also observed. This study shows that drugs for the cardiovascular system were the active substances most prescribed to older adults. The prescription of benzodiazepines and opioids, classified as PIM, among females, alerts officials to the need of health policies to decrease inappropriate medication. The observed geographic differences in the 10 most prescribed active substances and in PIM prescription emphasized the importance of investing in medication optimization across the Portuguese regions.

Association of UV Radiation Exposure, Diagnostic Scrutiny, and Melanoma Incidence in US Counties

Although UV radiation exposure is the conventionally reported risk factor for cutaneous melanoma, an alternative exposure is diagnostic scrutiny: the more physicians look for and biopsy moles, the more melanoma they find. To assess the association of proxies for UV radiation exposure and diagnostic scrutiny with geographical patterns of melanoma incidence. This was a cross-sectional ecological analysis of the 727 continental US counties reporting to the Surveillance, Epidemiology, and End Results (SEER) Program (among a total of 3108 counties). Environmental data relevant to UV radiation exposure (from a variety of sources), Health Resources and Services Administration data relevant to diagnostic scrutiny, and SEER data on melanoma incidence among the non-Hispanic White population diagnosed with melanoma from 2012 through 2016 were combined. Data analysis was performed between January 2020 and July 2022. Three UV radiation proxies (UV daily dose, cloud variability, and temperature variability) and 3 diagnostic scrutiny proxies (median household income, dermatologists, and primary care physician supply). Melanoma incidence (in situ and invasive cancers). In total, 235 333 melanomas were diagnosed. Proxies for UV radiation exposure changed gradually across geography, while melanoma incidence and proxies for diagnostic scrutiny changed abruptly across contiguous counties. The UV daily dose, a variable the National Cancer Institute specifically developed for melanoma analyses, was uncorrelated with incidence (r = 0.03; P = .42). For context, smoking prevalence was highly correlated with lung cancer incidence in the same counties (r = 0.81; P < .001). Melanoma incidence was correlated with median household income (r = 0.43; P < .001). Counties with no dermatologists and shortages of primary care physicians had the lowest incidence, while counties amply supplied with both had the highest, despite having lower mean UV daily dose. There was little association between melanoma incidence and melanoma mortality (r = 0.09; P = .05), while the analogous association in lung cancer was strong (r = 0.96; P < .001). In this cross-sectional ecological study, the current geographical pattern of melanoma incidence across US counties was less associated with proxies for UV radiation exposure and more so with proxies for diagnostic scrutiny. Incidence-the fundamental epidemiologic measure of disease frequency-now had little association with the feared outcome of melanoma: death.