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View article: Prevalence of arthritis and nonmedical factors that influence health among adults – 42 U.S. jurisdictions, 2022
Prevalence of arthritis and nonmedical factors that influence health among adults – 42 U.S. jurisdictions, 2022 Open
Objective The objective of this study was to estimate the prevalence of arthritis among adults in the United States by nonmedical factors that influence health – adverse measures of social determinants of health (SDOH) and health‐related s…
View article: Use of Nonresponse Adjustment Factors for the Social Determinants and Health Equity Module in the Behavioral Risk Factor Surveillance System, 2022
Use of Nonresponse Adjustment Factors for the Social Determinants and Health Equity Module in the Behavioral Risk Factor Surveillance System, 2022 Open
The nonresponse adjustment will mitigate the nonresponse bias in the analysis of social determinants and health equity data. The adjustment factor developed by the authors will be useful for analysts from various states, programs, and inst…
View article: Supplementary Table S2 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Table S2 from Small Area Estimation of PSA Testing in US States and Counties Open
State and county-level covariates pool. This tables lists all potential covariates and their sources, with indicators for the final covariates selected for each theta-model and delta-model in the state- and county-level models, respectivel…
View article: Data from Small Area Estimation of PSA Testing in US States and Counties
Data from Small Area Estimation of PSA Testing in US States and Counties Open
Background:In 2012, the US Preventive Services Task Force recommended against prostate cancer screening using the PSA test for all age groups. In 2018, the US Preventive Services Task Force’s recommendation shifted from a “D” (not recommen…
View article: Supplementary Figure S1 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Figure S1 from Small Area Estimation of PSA Testing in US States and Counties Open
Trend of single year direct estimates of PSA Screening rates (%) and prostate cancer incidence rates for men ages 55-69 from 2012 to 2019. The plots include direct estimates from the NHIS (blue solid line) and the BRFSS (black dash line), …
View article: Supplementary Figure S2 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Figure S2 from Small Area Estimation of PSA Testing in US States and Counties Open
Model diagnosis plots from the 2018-2019 county-level theta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the parameter associated with covariate “% of rural areas”.
View article: Supplementary Figure S5 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Figure S5 from Small Area Estimation of PSA Testing in US States and Counties Open
Model diagnosis plots from the 2018-2019 county-level delta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the parameter associated with covariate “% pop speak language other …
View article: Supplementary Figure S4 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Figure S4 from Small Area Estimation of PSA Testing in US States and Counties Open
Model diagnosis plots from the 2018-2019 county-level delta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the parameter associated with covariate “Dentist rate per 100k popul…
View article: Supplementary Table S3 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Table S3 from Small Area Estimation of PSA Testing in US States and Counties Open
Empirical percentiles for county-level estimates of Prostate Specific Antigen (PSA) screening rate among men aged 55-69. This table presents summary statistics for county-level NHIS direct estimates, BRFSS direct estimates, and final model…
View article: Supplementary Figure S7 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Figure S7 from Small Area Estimation of PSA Testing in US States and Counties Open
Model diagnosis plots from the 2018-2019 county-level delta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the model precision parameter A2.
View article: Supplementary Data from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Data from Small Area Estimation of PSA Testing in US States and Counties Open
The supplementary material includes details on the rational of input data grouping, the small area models, and model diagnosis and selection.
View article: Supplementary Figure S3 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Figure S3 from Small Area Estimation of PSA Testing in US States and Counties Open
Model diagnosis plots from the 2018-2019 county-level delta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the parameter associated with covariate “Population density”.
View article: Supplementary Figure S6 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Figure S6 from Small Area Estimation of PSA Testing in US States and Counties Open
Model diagnosis plots from the 2018-2019 county-level theta model. This figure shows the trace plot, the autocorrelation plot, and the density plot of the MCMC values for the model precision parameter A1.
View article: Supplementary Table S1 from Small Area Estimation of PSA Testing in US States and Counties
Supplementary Table S1 from Small Area Estimation of PSA Testing in US States and Counties Open
Final response rates (RR) for the National Health Interview Survey (NHIS) and the Behavioral Risk Factor Surveillance System (BRFSS). This table summarizes the final household-level and adult RR for NHIS across 2013, 2015, 2018 and 2019, a…
View article: Social Determinants of Health and Health-Related Social Needs Among Adults With Chronic Diseases in the United States, Behavioral Risk Factor Surveillance System, 2022
Social Determinants of Health and Health-Related Social Needs Among Adults With Chronic Diseases in the United States, Behavioral Risk Factor Surveillance System, 2022 Open
From a treatment and prevention perspective, health care providers should consider the influence of SDOH/HRSN on people with or at risk for chronic diseases. Additionally, human service and public health systems in communities with high ra…
View article: <i>Vital Signs</i>: Mammography Use and Association with Social Determinants of Health and Health-Related Social Needs Among Women — United States, 2022
<i>Vital Signs</i>: Mammography Use and Association with Social Determinants of Health and Health-Related Social Needs Among Women — United States, 2022 Open
Identifying specific adverse SDOH and HRSNs that women experience and coordinating activities among health care providers, social services, community organizations, and public health programs to provide services that help address these nee…
View article: Racial and Ethnic Differences in Social Determinants of Health and Health-Related Social Needs Among Adults — Behavioral Risk Factor Surveillance System, United States, 2022
Racial and Ethnic Differences in Social Determinants of Health and Health-Related Social Needs Among Adults — Behavioral Risk Factor Surveillance System, United States, 2022 Open
Social determinants of health (SDOH) are a broad array of social and contextual conditions where persons are born, live, learn, work, play, worship, and age that influence their physical and mental wellbeing and quality of life. Using 2022…
View article: Outcomes of Population Surveillance Data Collection Pilots and the Behavioral Risk Factor Surveillance System: What Happens in Texas
Outcomes of Population Surveillance Data Collection Pilots and the Behavioral Risk Factor Surveillance System: What Happens in Texas Open
Declining response rates and rising costs have prompted the search for alternatives to traditional random-digit dialing (RDD) interviews. In 2021, three Behavioral Risk Factor Surveillance System (BRFSS) pilots were conducted in Texas: dat…
View article: National, State-Level, and County-Level Prevalence Estimates of Adults Aged ≥18 Years Self-Reporting a Lifetime Diagnosis of Depression — United States, 2020
National, State-Level, and County-Level Prevalence Estimates of Adults Aged ≥18 Years Self-Reporting a Lifetime Diagnosis of Depression — United States, 2020 Open
Depression is a major contributor to mortality, morbidity, disability, and economic costs in the United States (1). Examining the geographic distribution of depression at the state and county levels can help guide state- and local-level ef…
View article: Chronic Conditions Among Adults Aged 18─34 Years — United States, 2019
Chronic Conditions Among Adults Aged 18─34 Years — United States, 2019 Open
Chronic conditions are common, costly, and major causes of death and disability.* Addressing chronic conditions and their determinants in young adulthood can help slow disease progression and improve well-being across the life course (1); …
View article: Health-Related Behavioral Risk Factors and Obesity Among American Indians and Alaska Natives of the United States: Assessing Variations by Indian Health Service Region
Health-Related Behavioral Risk Factors and Obesity Among American Indians and Alaska Natives of the United States: Assessing Variations by Indian Health Service Region Open
The findings of this study support the importance of public health efforts to address and improve behavioral risk factors related to chronic disease in AI/AN people, both nationwide and among IHS regions, through culturally appropriate int…
View article: Risk Factors for Coronavirus Disease 2019 (COVID-19)–Associated Hospitalization: COVID-19–Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System
Risk Factors for Coronavirus Disease 2019 (COVID-19)–Associated Hospitalization: COVID-19–Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System Open
Background Data on risk factors for coronavirus disease 2019 (COVID-19)–associated hospitalization are needed to guide prevention efforts and clinical care. We sought to identify factors independently associated with COVID-19–associated ho…
View article: Estimating Undercoverage Bias of Internet Users
Estimating Undercoverage Bias of Internet Users Open
INTRODUCTION: In the last decade, response rates to the Behavioral Risk Factor Surveillance System (BRFSS) surveys have been declining. Attention has turned to the possibility of using web surveys to complement or replace BRFSS, but web su…
View article: Risk Factors for COVID-19-associated hospitalization: COVID-19-Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System
Risk Factors for COVID-19-associated hospitalization: COVID-19-Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System Open
Background Identification of risk factors for COVID-19-associated hospitalization is needed to guide prevention and clinical care. Objective To examine if age, sex, race/ethnicity, and underlying medical conditions is independently associa…
View article: Health-Related Behaviors and Health Insurance Status among US Adults: Findings from the 2017 Behavioral Risk Factor Surveillance System
Health-Related Behaviors and Health Insurance Status among US Adults: Findings from the 2017 Behavioral Risk Factor Surveillance System Open
Background Health insurance coverage has increased overtime. However, little is known on the associations between health insurance status and adoption of health-related behaviors among US adults. Methods The 2017 Behavioral Risk Factor Sur…