Suicide disparities across metropolitan areas in the US: A comparative assessment of socio-environmental factors using a data-driven predictive approach
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ABSTRACT:
SUBMITTER: Mukherjee S
PROVIDER: S-EPMC8612572 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundLife expectancy in the United States has declined since 2014 but characterization of disparities within and across metropolitan areas of the country is lacking.MethodsUsing census tract-level life expectancy from the 2010 to 2015 US Small-area Life Expectancy Estimates Project, we calculate 10 measures of total and income-based disparities in life expectancy at birth, age 25, and age 65 within and across 377 metropolitan statistical areas (MSAs) of the United States.ResultsWe found wide heterogeneity in disparities in life expectancy at birth across MSAs and regions: MSAs in the West show the narrowest disparities (absolute disparity: 8.7 years, relative disparity: 1.1), while MSAs in the South (absolute disparity: 9.1 years, relative disparity: 1.1) and Midwest (absolute disparity: 9.8 years, relative disparity: 1.1) have the widest life expectancy disparities. We also observed greater variability in life expectancy across MSAs for lower income census tracts (coefficient of variation [CoV] 3.7 for first vs. tenth decile of income) than for higher income census tracts (CoV 2.3). Finally, we found that a series of MSA-level variables, including larger MSAs and greater proportion college graduates, predicted wider life expectancy disparities for all age groups.ConclusionsSociodemographic and policy factors likely help explain variation in life expectancy disparities within and across metro areas.
| S-EPMC9574908 | biostudies-literature
Project description:BackgroundThe impact of socio-environmental factors on suicide has been examined in many studies. Few of them, however, have explored these associations from a spatial perspective, especially in assessing the association between meteorological factors and suicide. This study examined the association of meteorological and socio-demographic factors with suicide across small areas over different time periods.MethodsSuicide, population and socio-demographic data (e.g., population of Aboriginal and Torres Strait Islanders (ATSI), and unemployment rate (UNE) at the Local Government Area (LGA) level were obtained from the Australian Bureau of Statistics for the period of 1986 to 2005. Information on meteorological factors (rainfall, temperature and humidity) was supplied by Australian Bureau of Meteorology. A Bayesian Conditional Autoregressive (CAR) Model was applied to explore the association of socio-demographic and meteorological factors with suicide across LGAs.ResultsIn Model I (socio-demographic factors), proportion of ATSI and UNE were positively associated with suicide from 1996 to 2000 (Relative Risk (RR)ATSI = 1.0107, 95% Credible Interval (CI): 1.0062-1.0151; RRUNE = 1.0187, 95% CI: 1.0060-1.0315), and from 2001 to 2005 (RRATSI = 1.0126, 95% CI: 1.0076-1.0176; RRUNE = 1.0198, 95% CI: 1.0041-1.0354). Socio-Economic Index for Area (SEIFA) and IND, however, had negative associations with suicide between 1986 and 1990 (RRSEIFA = 0.9983, 95% CI: 0.9971-0.9995; RRATSI = 0.9914, 95% CI: 0.9848-0.9980). Model II (meteorological factors): a 1°C higher yearly mean temperature across LGAs increased the suicide rate by an average by 2.27% (95% CI: 0.73%, 3.82%) in 1996-2000, and 3.24% (95% CI: 1.26%, 5.21%) in 2001-2005. The associations between socio-demographic factors and suicide in Model III (socio-demographic and meteorological factors) were similar to those in Model I; but, there is no substantive association between climate and suicide in Model III.ConclusionsProportion of Aboriginal and Torres Strait Islanders, unemployment and temperature appeared to be statistically associated with of suicide incidence across LGAs among all selected variables, especially in recent years. The results indicated that socio-demographic factors played more important roles than meteorological factors in the spatial pattern of suicide incidence.
| S-EPMC4226967 | biostudies-literature
Project description:BackgroundRailway suicide has significant adverse impacts for the victims, their family and friends, witnesses to the incident, general public and train network. There is no previous review on the socio-environmental factors and railway suicide. The research question asked in this review was: 'What socio-environmental risk and protective predictors are significantly associated with railway suicide?'MethodsThe review searched Medline, PsycINFO, Web of Science and Scopus for English-language studies that assessed the associations between socio-environmental (i.e. geographical, physical, economic and social) factors and railway suicide from their inception to June 2013. It was reported based on the PRISMA Statement.ResultsEleven studies met the inclusion criteria. They were categorised into railway environments (availability of railways and trains, accessibility to railways and familiarity with trains), population characteristics and impact of media reporting. Findings from ecological studies using population level railway suicide data suggested weak and inconsistent evidence for the first two categories. The evidence on the impact of media reporting was moderately strong, with irresponsible media reporting being associated with an increased risk of railway suicide.ConclusionsThere is a need for further research activity to strengthen evidence about socio-environmental risk factors for railway suicide. The focus of this research should be on the factors that determine individuals' decisions of using the railway as a method of suicide, with the consideration of a range of geographical, physical, social, and economic factors.
| S-EPMC3922773 | biostudies-literature
Project description:Background Rates of major lower extremity amputation in patients with peripheral artery disease are higher in rural communities with markers of low socioeconomic status, but most Americans live in metropolitan areas. Whether amputation rates vary within US metropolitan areas is unclear, as are characteristics of high amputation rate urban communities. Methods and Results We estimated rates of major lower extremity amputation per 100 000 Medicare beneficiaries between 2010 and 2018 at the ZIP code level among ZIP codes with ≥100 beneficiaries. We described demographic characteristics of high and low amputation ZIP codes, and the association between major amputation rate and 3 ZIP code-level markers of socioeconomic status-the proportion of patients with dual eligibility for Medicaid, median household income, and Distressed Communities Index score-for metropolitan, micropolitan, and rural ZIP code cohorts. Between 2010 and 2018, 188 995 Medicare fee-for-service patients living in 31 391 ZIP codes with ≥100 beneficiaries had a major lower extremity amputation. The median (interquartile range) ZIP code-level number of amputations per 100 000 beneficiaries was 262 (75-469). Though nonmetropolitan ZIP codes had higher rates of major amputation than metropolitan areas, 78.2% of patients undergoing major amputation lived in metropolitan areas. Compared with ZIP codes with lower amputation rates, top quartile amputation rate ZIP codes had a greater proportion of Black residents (4.4% versus 17.5%, P<0.001). In metropolitan areas, after adjusting for clinical comorbidities and demographics, every $10 000 lower median household income was associated with a 4.4% (95% CI, 3.9-4.8) higher amputation rate, and a 10-point higher Distressed Communities Index score was associated with a 3.8% (95% CI, 3.4%-4.2%) higher amputation rate; there was no association between the proportion of patients eligible for Medicaid and amputation rate. These findings were comparable to the associations identified across all ZIP codes. Conclusions In metropolitan areas, where most individuals undergoing lower extremity amputation live, markers of lower socioeconomic status and Black race were associated with higher rates of major lower extremity amputation. Development of community-based tools for peripheral artery disease diagnosis and management targeted to communities with high amputation rates in urban areas may help reduce inequities in peripheral artery disease outcomes.
| S-EPMC8649262 | biostudies-literature
Project description:ImportanceDespite the benefits of high-technology therapeutics, inequitable access to these technologies may generate disparities in care.ObjectiveTo examine the association between zip code-level racial, ethnic, and socioeconomic composition and rates of transcatheter aortic valve replacement (TAVR) among Medicare patients living within large metropolitan areas with TAVR programs.Design, setting, and participantsThis multicenter, nationwide cross-sectional analysis of Medicare claims data between January 1, 2012, and December 31, 2018, included beneficiaries of fee-for-service Medicare who were 66 years or older living in the 25 largest metropolitan core-based statistical areas.ExposureReceipt of TAVR.Main outcomes and measuresThe association between zip code-level racial, ethnic, and socioeconomic composition and rates of TAVR per 100 000 Medicare beneficiaries.ResultsWithin the studied metropolitan areas, there were 7590 individual zip codes. The mean (SD) age of Medicare beneficiaries within these areas was 71.4 (2.0) years, a mean (SD) of 47.6% (5.8%) of beneficiaries were men, and a mean (SD) of 4.0% (7.0%) were Asian, 11.1% (18.9%) were Black, 8.0% (12.9%) were Hispanic, and 73.8% (24.9%) were White. The mean number of TAVRs per 100 000 Medicare beneficiaries by zip code was 249 (IQR, 0-429). For each $1000 decrease in median household income, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 0.2% (95% CI, 0.1%-0.4%) lower (P = .002). For each 1% increase in the proportion of patients who were dually eligible for Medicaid services, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 2.1% (95% CI, 1.3%-2.9%) lower (P < .001). For each 1-unit increase in the Distressed Communities Index score, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 0.4% (95% CI, 0.2%-0.5%) lower (P < .001). Rates of TAVR were lower in zip codes with higher proportions of patients of Black race and Hispanic ethnicity, despite adjusting for socioeconomic markers, age, and clinical comorbidities.Conclusions and relevanceWithin major metropolitan areas in the US with TAVR programs, zip codes with higher proportions of Black and Hispanic patients and those with greater socioeconomic disadvantages had lower rates of TAVR, adjusting for age and clinical comorbidities. Whether this reflects a different burden of symptomatic aortic stenosis by race and socioeconomic status or disparities in use of TAVR requires further study.
| S-EPMC8600460 | biostudies-literature
Project description:Introduction:While epidemiological and pathophysiological aspects of hypertension are still being investigated, there is an increased global interest between hypertension and social health determinants and environmental factors that this study aims to examine. Methods:The sample size used in this work included 2,445 individuals, from Athens metropolitan area, who were randomly enrolled in ATTICA study, during 2001 to 2002. Principal component analysis (PCA), Poisson regression modeling and geographical analysis, based on Geographic Information Systems (GIS) technology, were applied. Results:Geographical analysis and thematic mapping revealed that the West municipalities of Athens had the lowest socio-environmental status. Three components were derived from PCA: high, low and mixed socio-environmental status. Poisson regression analysis showed that high socio-environmental status, educational and economic level were negatively correlated with hypertension in some sectors of Athens (p < 0.05, for all). Conclusions:Through the use of geospatial surveillance the underlying epidemiology of hypertension, and those at greater risk, can be more precisely determined. This study underlines the need to account for environmental factors when developing public health policies and programs for effective hypertension prevention or reduction.
| S-EPMC7225657 | biostudies-literature
Project description:The emergence of high-resolution land cover data has created the opportunity to assess the accuracy of impervious cover (IC) provided by the National Land Cover Database (NLCD). We assessed the accuracy of the 900 m2 NLCD2011 %IC for 18 metropolitan areas throughout the conterminous United States using reference data from 1 m2 land cover data developed as part of the United States Environmental Protection Agency's EnviroAtlas project. Agreement was assessed from two perspectives: 1) sensitivity to the size of the assessment unit used for the comparison, and 2) utility of NLCD %IC to serve as a proxy for high-resolution IC. The former perspective was considered because statistical relationships can be sensitive to assessment unit size and shape, and the latter perspective was considered because high resolution (reference) %IC data are not available nationwide. The utility of NLCD %IC as a proxy for the high resolution data was assessed for seven lattice (square) cell sizes ranging from 1 ha to 200 ha using four EnviroAtlas IC indicators: 1) %IC per 100 ha (1 km2); 2) %IC by Census block group; 3) %IC within a 15 m (radius) of the riparian zone, and; 4) %IC within a 50 m (radius) of the riparian zone. Agreement was quantified as per assessment unit deviation (NLCD %IC - reference %IC) and summarized as Mean Absolute Deviation (MAD) and Mean Deviation (MD) both within and across the 18 metropolitan areas. Ordinary least squares (OLS) regression (y = reference %IC and x = NLCD %IC) was also used to evaluate the quality of the NLCD %IC data. MAD was ≤ 5% for six of the seven lattice cell sizes. MAD was also ≤ 5% for Census block groups > 100 ha and for both riparian units. These results suggest that uncertainty attributable to the measurement of %IC was no greater than the uncertainty related to the effect of IC on aquatic resources that have been derived from studies of aquatic condition (e.g., benthic fauna) over a range of %IC. Overall, agreement was variable from one metropolitan area to the next. Agreement improved as assessment unit size increased and declined as the level of urbanization (NLCD %IC) increased. NLCD %IC tended to underestimate reference %IC overall, but NLCD %IC was sometimes greater than reference %IC in urbanized settings.
| S-EPMC10031652 | biostudies-literature
Project description:PURPOSE:Physical activity (PA) levels in Asian-American adults may be lower than other racial or ethnic groups. This analysis tested the hypothesis that Asian-Americans are less likely to meet PA guidelines than other racial or ethnic groups regardless of location of residence. METHODS:The New York City (NYC) Community Health Survey (2010, 2012) and Los Angeles County (LAC) Health Survey (2011) are cross-sectional surveys conducted with similar sampling strategies (NYC: n = 17,462; LAC: n = 8036). Meeting PA guidelines was calculated using self-reported moderate or vigorous minutes per week; multivariable regression models adjusted for demographics, insurance, nativity and language spoken at home. Data were weighted to be representative of their respective geographies. RESULTS:In both areas, Asian-Americans had a low prevalence of meeting PA guidelines (NYC: 42.7 [39.2-46.3]; LAC: 55.8 [51.2-60.2]). Other racial or ethnic groups were more likely to meet PA guidelines versus Asian-Americans after adjustment for covariates in NYC (white odds ratio [OR]: 1.35 [1.09-1.68]; black OR: 1.61 [1.28-2.02]; Hispanic OR: 2.14 [1.74-2.62]) and in LAC (white OR: 1.45 [1.13-1.86]; Hispanic OR: 1.71 [1.32-2.22]). CONCLUSIONS:Asian-Americans were less likely to meet PA guidelines compared with other racial or ethnic groups in NYC and LAC. Description of cultural and neighborhood-level factors and of types of PA in specific Asian subgroups is needed.
| S-EPMC4547861 | biostudies-literature
Project description:ImportancePatients with head and neck cancer (HNC) are known to be at increased risk of suicide compared with the general population, but there has been insufficient research on whether this risk differs based on patients' rural, urban, or metropolitan residence status.ObjectiveTo evaluate whether the risk of suicide among patients with HNC differs by rural vs urban or metropolitan residence status.Design, setting, and participantsThis cross-sectional study uses data from the Surveillance, Epidemiology, and End Results database on patients aged 18 to 74 years who received a diagnosis of HNC from January 1, 2000, to December 31, 2016. Statistical analysis was conducted from November 27, 2020, to June 3, 2021.ExposuresResidence status, assessed using 2013 Rural Urban Continuum Codes.Main outcomes and measuresDeath due to suicide was assessed by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes (U03, X60-X84, and Y87.0) and the cause of death recode (50220). Standardized mortality ratios (SMRs) of suicide, assessing the suicide risk among patients with HNC compared with the general population, were calculated. Suicide risk by residence status was compared using Fine-Gray proportional hazards regression models.ResultsData from 134 510 patients with HNC (101 142 men [75.2%]; mean [SE] age, 57.7 [10.3] years) were analyzed, and 405 suicides were identified. Metropolitan residents composed 86.6% of the sample, urban residents composed 11.7%, and rural residents composed 1.7%. The mortality rate of suicide was 59.2 per 100 000 person-years in metropolitan counties, 64.0 per 100 000 person-years in urban counties, and 126.7 per 100 000 person-years in rural counties. Compared with the general population, the risk of suicide was markedly higher among patients with HNC in metropolitan (SMR, 2.78; 95% CI, 2.49-3.09), urban (SMR, 2.84; 95% CI, 2.13-3.71), and rural (SMR, 5.47; 95% CI, 3.06-9.02) areas. In Fine-Gray competing-risk analyses that adjusted for other covariates, there was no meaningful difference in suicide risk among urban vs metropolitan residents. However, compared with rural residents, residents of urban (subdistribution hazard ratio, 0.52; 95% CI, 0.29-0.94) and metropolitan counties (subdistribution hazard ratio, 0.55; 95% CI, 0.32-0.94) had greatly lower risk of suicide.Conclusions and relevanceThe findings of this cross-sectional study suggest that suicide risk is elevated in general among patients with HNC but is significantly higher for patients residing in rural areas. Effective suicide prevention strategies in the population of patients with HNC need to account for rural health owing to the high risk of suicide among residents with HNC in rural areas.
| S-EPMC8304170 | biostudies-literature
Project description:Modern cities are engines of production, innovation, and growth. However, urbanization also increases both local and global pollution from household consumption and firms' production. Do emissions change proportionately to city size or does pollution tend to outpace or lag urbanization? Do emissions scale differently with population versus economic growth or are emissions, population, and economic growth inextricably linked? How are the scaling relationships between emissions, population, and economic growth affected by environmental regulation? This paper examines the link between urbanization, economic growth and pollution using data from Metropolitan Statistical Areas (MSAs) in the United States between 1999 and 2011. We find that the emissions of local air pollution in these MSAs scale according to a ¾ power law with both population size and gross domestic product (GDP). However, the monetary damages from these local emissions scale linearly with both population and GDP. Counties that have previously been out of attainment with the local air quality standards set by the Clean Air Act show an entirely different relationship: local emissions scale according to the square root of population, while the monetary damages from local air pollution follow a 2/3rds power law with population. Counties out of attainment are subject to more stringent emission controls; we argue based on this that enforcement of the Clean Air Act induces sublinear scaling between emissions, damages, and city size. In contrast, we find that metropolitan GDP scales super-linearly with population in all MSAs regardless of attainment status. Summarizing, our findings suggest that environmental policy limits the adverse effects of urbanization without interfering with the productivity benefits that manifest in cities.
| S-EPMC5549900 | biostudies-literature