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Articles 1 - 5 of 5
Full-Text Articles in Medicine and Health Sciences
Prevalence Trend And Disparities In Rheumatoid Arthritis Among Us Adults, 2005–2018, Yingke Xu, Qing Wu
Prevalence Trend And Disparities In Rheumatoid Arthritis Among Us Adults, 2005–2018, Yingke Xu, Qing Wu
Public Health Faculty Publications
Rheumatoid arthritis (RA) trends among US adults and disparities in RA patients in recent years have not been well described. We aimed to examine the trend of RA prevalence and disparities among US adults. Data from the National Health and Nutrition Examination Survey (NHANES) of the years 2005–2018 were analyzed to examine the self-reported RA prevalence trend. Age-adjusted RA prevalence stratified by race/ethnicity and socioeconomic status (SES), as well as associated linear trends, were calculated for both genders. The multivariable adjustment was used to evaluate the association between race, SES, and RA. During 2005–2018, there was no significant linear trend …
Lagged Meteorological Impacts On Covid-19 Incidence Among High-Risk Counties In The United States—A Spatiotemporal Analysis, Lung-Chang Chien, Lung-Wen Antony Chen, Ro-Ting Lin
Lagged Meteorological Impacts On Covid-19 Incidence Among High-Risk Counties In The United States—A Spatiotemporal Analysis, Lung-Chang Chien, Lung-Wen Antony Chen, Ro-Ting Lin
Public Health Faculty Publications
Background: The associations between meteorological factors and coronavirus disease 2019 (COVID-19) have been discussed globally; however, because of short study periods, the lack of considering lagged effects, and different study areas, results from the literature were diverse and even contradictory. Objective: The primary purpose of this study is to conduct more reliable research to evaluate the lagged meteorological impacts on COVID-19 incidence by considering a relatively long study period and diversified high-risk areas in the United States. Methods: This study adopted the distributed lagged nonlinear model with a spatial function to analyze COVID-19 incidence predicted by multiple meteorological measures from …
Utility Of Multi-Theory Model (Mtm) To Explain The Intention For Pap Adherence In Newly Diagnosed Sleep Apnea Patients, Manoj Sharma, Anuj Chandra, Ryan Toth, Vinayak K. Nahar
Utility Of Multi-Theory Model (Mtm) To Explain The Intention For Pap Adherence In Newly Diagnosed Sleep Apnea Patients, Manoj Sharma, Anuj Chandra, Ryan Toth, Vinayak K. Nahar
Public Health Faculty Publications
Purpose: The objective of this study was to assess the utility of a fourth-generation multi-theory model (MTM) in explaining the intention for initiation and sustenance of PAP adherence among newly diagnosed sleep apnea patients.
Patients and Methods: For this cross-sectional study, data were collected at a private sleep center located in the Southeastern United States. A total of 138 newly diagnosed patients with sleep apnea who had been prescribed PAP therapy completed a valid and reliable 41-item MTM instrument. Stepwise multiple regression modeling was conducted to assess MTM based explanatory variables of PAP adherence in this study sample.
Results: MTM …
Trends In Osteoporosis And Mean Bone Density Among Type 2 Diabetes Patients In The Us From 2005 To 2014, Yingke Xu, Qing Wu
Trends In Osteoporosis And Mean Bone Density Among Type 2 Diabetes Patients In The Us From 2005 To 2014, Yingke Xu, Qing Wu
Public Health Faculty Publications
© 2021, The Author(s). This study aimed to examine how bone health changed among T2DM patients in the past decade. Continuous National Health and Nutrition Examination Survey (NHANES) data from 2005–2006 to 2013–2014 were analyzed to examine the trends of bone mineral density (BMD) and the prevalence trends of osteoporosis osteopenia among T2DM patients and non-diabetic people aged 40 years and older. The age- and BMI-adjusted mean BMD of the femur neck for the four NHANES cycles decreased linearly in both T2DM patients and non-diabetic people (both Plinear trend ≤ 0.009). Among women with T2DM, the mean BMD in 2013–2014 …
The Utility Of Genetic Risk Score To Improve Performance Of Frax For Fracture Prediction In Us Postmenopausal Women, Xiangxue Xiao, Qing Wu
The Utility Of Genetic Risk Score To Improve Performance Of Frax For Fracture Prediction In Us Postmenopausal Women, Xiangxue Xiao, Qing Wu
Public Health Faculty Publications
The ability of the fracture risk assessment tool (FRAX) in discriminating fracture and non-fracture in postmenopausal women remains suboptimal. Adding a genetic profile may improve the performance of FRAX. Three genetic risk scores (GRSs) (GRS_fracture, GRS_BMD, GRS_eBMD) were calculated for each participant in the Women’s Health Initiative Study (n = 23,981), based on the summary statistics of three comprehensive osteoporosis-related genome-wide association studies (GWAS). The primary outcomes were incident major osteoporotic fracture (MOF) and hip fracture (HF). The association between each GRS and fracture risk were evaluated in separate Cox Proportional Hazard models, with FRAX clinical risk factors adjusted for. …