Multilevel and spatialtime trend analyses of the prevalence of hypertension in a large urban city in the USA

Longjian Liu; Ana E. Núñez; Xiaoping Yu; Xiaoyan Yin; Howard J. Eisen

doi:10.1007/s11524-013-9815-x

Multilevel and spatialtime trend analyses of the prevalence of hypertension in a large urban city in the USA

Longjian Liu, Ana E. Núñez, Xiaoping Yu, Xiaoyan Yin, Howard J. Eisen

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

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 20022004 (study period 1, n=8,567), and in 20082010 (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 20022004 to 20082010. Individuals living in neighborhoods with disadvantaged PSE have significantly higher risk of the prevalence of HBP.

Original language	English (US)
Pages (from-to)	1053-1063
Number of pages	11
Journal	Journal of Urban Health
Volume	90
Issue number	6
DOIs	https://doi.org/10.1007/s11524-013-9815-x
State	Published - Dec 2013
Externally published	Yes

Bibliographical note

Funding Information:
L Liu and AE Núñez are partly supported by the US DHHS Office of Women’s Health and Office of Public Health and Service-funded Philadelphia Ujima Study (Mind Spirit Body Health Collaborative, PI: AE Núñez). Grant number 5 CCEWH111020-02-00. The study used data from the Public Health Management Corporation (PHMC) Philadelphia. The responsibility for the analysis and interpretation of these data is solely that of the authors. The opinions expressed in this paper are those of the authors and do not represent the views of PHMC. Our thanks also go to Miss Michelle Klawans and Ms. Deirdre Potter for their careful proofreading of the report.

Keywords

Hypertension
Multilevel models
Neighborhood environment
Urban health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1007/s11524-013-9815-x

Find It

Find It at U of M Libraries

Cite this

@article{913a313930df4064b1edec3be90b630b,

title = "Multilevel and spatialtime trend analyses of the prevalence of hypertension in a large urban city in the USA",

abstract = "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 20022004 (study period 1, n=8,567), and in 20082010 (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 20022004 to 20082010. Individuals living in neighborhoods with disadvantaged PSE have significantly higher risk of the prevalence of HBP.",

keywords = "Hypertension, Multilevel models, Neighborhood environment, Urban health",

author = "Longjian Liu and N{\'u}{\~n}ez, {Ana E.} and Xiaoping Yu and Xiaoyan Yin and Eisen, {Howard J.}",

note = "Funding Information: L Liu and AE N{\'u}{\~n}ez are partly supported by the US DHHS Office of Women{\textquoteright}s Health and Office of Public Health and Service-funded Philadelphia Ujima Study (Mind Spirit Body Health Collaborative, PI: AE N{\'u}{\~n}ez). Grant number 5 CCEWH111020-02-00. The study used data from the Public Health Management Corporation (PHMC) Philadelphia. The responsibility for the analysis and interpretation of these data is solely that of the authors. The opinions expressed in this paper are those of the authors and do not represent the views of PHMC. Our thanks also go to Miss Michelle Klawans and Ms. Deirdre Potter for their careful proofreading of the report.",

year = "2013",

month = dec,

doi = "10.1007/s11524-013-9815-x",

language = "English (US)",

volume = "90",

pages = "1053--1063",

journal = "Bulletin of the New York Academy of Medicine",

issn = "1099-3460",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "6",

}

TY - JOUR

T1 - Multilevel and spatialtime trend analyses of the prevalence of hypertension in a large urban city in the USA

AU - Liu, Longjian

AU - Núñez, Ana E.

AU - Yu, Xiaoping

AU - Yin, Xiaoyan

AU - Eisen, Howard J.

N1 - Funding Information: L Liu and AE Núñez are partly supported by the US DHHS Office of Women’s Health and Office of Public Health and Service-funded Philadelphia Ujima Study (Mind Spirit Body Health Collaborative, PI: AE Núñez). Grant number 5 CCEWH111020-02-00. The study used data from the Public Health Management Corporation (PHMC) Philadelphia. The responsibility for the analysis and interpretation of these data is solely that of the authors. The opinions expressed in this paper are those of the authors and do not represent the views of PHMC. Our thanks also go to Miss Michelle Klawans and Ms. Deirdre Potter for their careful proofreading of the report.

PY - 2013/12

Y1 - 2013/12

N2 - 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 20022004 (study period 1, n=8,567), and in 20082010 (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 20022004 to 20082010. Individuals living in neighborhoods with disadvantaged PSE have significantly higher risk of the prevalence of HBP.

AB - 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 20022004 (study period 1, n=8,567), and in 20082010 (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 20022004 to 20082010. Individuals living in neighborhoods with disadvantaged PSE have significantly higher risk of the prevalence of HBP.

KW - Hypertension

KW - Multilevel models

KW - Neighborhood environment

KW - Urban health

UR - http://www.scopus.com/inward/record.url?scp=84892873725&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84892873725&partnerID=8YFLogxK

U2 - 10.1007/s11524-013-9815-x

DO - 10.1007/s11524-013-9815-x

M3 - Review article

C2 - 23897041

AN - SCOPUS:84892873725

VL - 90

SP - 1053

EP - 1063

JO - Bulletin of the New York Academy of Medicine

JF - Bulletin of the New York Academy of Medicine

SN - 1099-3460

IS - 6

ER -

Multilevel and spatialtime trend analyses of the prevalence of hypertension in a large urban city in the USA

Abstract

Bibliographical note

Keywords

UN SDGs

Publisher link

Find It

Other files and links

Fingerprint

Cite this