Logo image
Multilevel and Spatial–Time Trend Analyses of the Prevalence of Hypertension in a Large Urban City in the USA
Journal article   Open access   Peer reviewed

Multilevel and Spatial–Time Trend Analyses of the Prevalence of Hypertension in a Large Urban City in the USA

Longjian Liu, Ana Núñez, Xiaoping Yu, Xiaoyan Yin and Howard Eisen
Journal of urban health, v 90(6), pp 1053-1063
Dec 2013
PMID: 23897041
url
https://doi.org/10.1007/s11524-013-9815-xView
Published, Version of Record (VoR) Open

Abstract

Hypertension Neighborhood environment Public Health Medicine & Public Health Urban health Multilevel models Health Informatics Epidemiology
We aimed to test two hypotheses that (1) there were significant variations in the prevalence of hypertension (HBP) across neighborhoods in the city of Philadelphia and (2) these variations were significantly explained by the variations in the neighborhood physical and socioeconomic environment (PSE). We used data from the Southeastern Pennsylvania Household Health Surveys in 2002–2004 (study period 1, n = 8,567), and in 2008–2010 (period 2, n = 8,747). An index of neighborhood PSE was constructed using multiple specific measures. The associations of HBP with PSE at the neighborhood level and other risk factors at the individual level were examined using multilevel regression analysis. The results show that age-adjusted prevalence of HBP increased from 30.33 to 33.04 % from study periods 1 to 2 (p < 0.001). An estimate of 44 and 53 % of the variations in the prevalence of HBP could be explained by the variations in neighborhood PSE in study periods 1 and 2, respectively. In conclusion, prevalence of HBP significantly increased from 2002–2004 to 2008–2010. Individuals living in neighborhoods with disadvantaged PSE have significantly higher risk of the prevalence of HBP.

Metrics

8 Record Views
12 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#10 Reduced Inequalities

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Public, Environmental & Occupational Health
Logo image