H
Hua Lu
Researcher at Centers for Disease Control and Prevention
Publications - 50
Citations - 3114
Hua Lu is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Behavioral Risk Factor Surveillance System & Population. The author has an hindex of 21, co-authored 42 publications receiving 2138 citations.
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Journal ArticleDOI
Multilevel Regression and Poststratification for Small-Area Estimation of Population Health Outcomes: A Case Study of Chronic Obstructive Pulmonary Disease Prevalence Using the Behavioral Risk Factor Surveillance System
Xingyou Zhang,James B. Holt,Hua Lu,Anne G. Wheaton,Earl S. Ford,Kurt J. Greenlund,Janet B. Croft +6 more
TL;DR: A multilevel logistic model with both state- and nested county-level random effects for chronic obstructive pulmonary disease (COPD) using 2011 data from the Behavioral Risk Factor Surveillance System is developed and poststratification with the (decennial) US Census 2010 counts of census-block population is applied.
Journal ArticleDOI
Urban-Rural County and State Differences in Chronic Obstructive Pulmonary Disease — United States, 2015
Janet B. Croft,Anne G. Wheaton,Yong Liu,Fang Xu,Hua Lu,Kevin A. Matthews,Timothy J. Cunningham,Yan Wang,James B. Holt +8 more
TL;DR: COPD prevalence, Medicare hospitalizations, and deaths were significantly higher among persons living in rural areas than among those living in micropolitan or metropolitan areas, and among seven states in the highest quartiles for all three measures, Arkansas, Kentucky, Mississippi, and West Virginia were also in the upper quartile for rural residents.
Journal ArticleDOI
Annual Total Binge Drinks Consumed by U.S. Adults, 2015.
TL;DR: Monitoring total binge drinks can help characterize disparities in binge drinking and help plan and evaluate effective prevention strategies in adults aged ≥35 years.
Journal ArticleDOI
Validation of Multilevel Regression and Poststratification Methodology for Small Area Estimation of Health Indicators From the Behavioral Risk Factor Surveillance System
TL;DR: External validation results suggest that multilevel regression and poststratification model-based SAEs using single-year Behavioral Risk Factor Surveillance System data are valid and could be used to characterize geographic variations in health indictors at local levels (such as counties) when high-quality local survey data are not available.
Journal Article
Vital signs: communication between health professionals and their patients about alcohol use--44 states and the District of Columbia, 2011.
Lela R. McKnight-Eily,Young Liu,Robert D. Brewer,Dafna Kanny,Hua Lu,Clark H. Denny,Lina S. Balluz,Janet L. Collins +7 more
TL;DR: Only one of six U.S. adults, including binge drinkers, reported ever discussing alcohol consumption with a health professional, despite public health efforts to increase ASBI implementation, despite routine surveillance of ASBI by states and communities.