PMID- 26703652
OWN - NLM
STAT- MEDLINE
DCOM- 20160809
LR  - 20191210
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 13
IP  - 1
DP  - 2015 Dec 22
TI  - Statistical Validation of a Web-Based GIS Application and Its Applicability to 
      Cardiovascular-Related Studies.
PG  - ijerph13010002
LID - 10.3390/ijerph13010002 [doi]
LID - 2
AB  - PURPOSE: There is abundant evidence that neighborhood characteristics are 
      significantly linked to the health of the inhabitants of a given space within a 
      given time frame. This study is to statistically validate a web-based GIS 
      application designed to support cardiovascular-related research developed by the 
      NIH funded Research Centers in Minority Institutions (RCMI) Translational 
      Research Network (RTRN) Data Coordinating Center (DCC) and discuss its 
      applicability to cardiovascular studies. METHODS: Geo-referencing, geocoding and 
      geospatial analyses were conducted for 500 randomly selected home addresses in a 
      U.S. southeastern Metropolitan area. The correlation coefficient, factor analysis 
      and Cronbach's alpha (alpha) were estimated to quantify measures of the internal 
      consistency, reliability and construct/criterion/discriminant validity of the 
      cardiovascular-related geospatial variables (walk score, number of hospitals, 
      fast food restaurants, parks and sidewalks). RESULTS: Cronbach's alpha for CVD 
      GEOSPATIAL variables was 95.5%, implying successful internal consistency. Walk 
      scores were significantly correlated with number of hospitals (r = 0.715; p < 
      0.0001), fast food restaurants (r = 0.729; p < 0.0001), parks (r = 0.773; p < 
      0.0001) and sidewalks (r = 0.648; p < 0.0001) within a mile from homes. It was 
      also significantly associated with diversity index (r = 0.138, p = 0.0023), 
      median household incomes (r = -0.181; p < 0.0001), and owner occupied rates (r = 
      -0.440; p < 0.0001). However, its non-significant correlation was found with 
      median age, vulnerability, unemployment rate, labor force, and population growth 
      rate. CONCLUSION: Our data demonstrates that geospatial data generated by the 
      web-based application were internally consistent and demonstrated satisfactory 
      validity. Therefore, the GIS application may be useful to apply to 
      cardiovascular-related studies aimed to investigate potential impact of 
      geospatial factors on diseases and/or the long-term effect of clinical trials.
FAU - Lee, Jae Eun
AU  - Lee JE
AD  - Research Centers in Minority Institutions Translational Research Network Data 
      Coordinating Center, 1230 Raymond Road, Jackson, MS 39204, USA. 
      jae.e.lee@jsums.edu.
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Jackson 
      State University, 350 W. Woodrow Wilson Drive Jackson Medical Mall, Suite 301, 
      Jackson, MS 39213, USA. jae.e.lee@jsums.edu.
FAU - Sung, Jung Hye
AU  - Sung JH
AD  - Research Centers in Minority Institutions Translational Research Network Data 
      Coordinating Center, 1230 Raymond Road, Jackson, MS 39204, USA. 
      Jung.h.lee@jsums.edu.
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Jackson 
      State University, 350 W. Woodrow Wilson Drive Jackson Medical Mall, Suite 301, 
      Jackson, MS 39213, USA. Jung.h.lee@jsums.edu.
FAU - Malouhi, Mohamad
AU  - Malouhi M
AD  - Research Centers in Minority Institutions Translational Research Network Data 
      Coordinating Center, 1230 Raymond Road, Jackson, MS 39204, USA. 
      mohamad.malouhi@rtrn.net.
LA  - eng
GR  - U54 MD008149/MD/NIMHD NIH HHS/United States
GR  - U54MD008149/MD/NIMHD NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Validation Study
DEP - 20151222
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
SB  - IM
MH  - Adult
MH  - Aged
MH  - Cardiovascular Diseases/*prevention & control
MH  - Cities/*statistics & numerical data
MH  - Data Interpretation, Statistical
MH  - Environment Design
MH  - Factor Analysis, Statistical
MH  - Fast Foods/*statistics & numerical data
MH  - Female
MH  - *Geographic Information Systems
MH  - Hospitals/*statistics & numerical data
MH  - Humans
MH  - Internet
MH  - Male
MH  - Middle Aged
MH  - Parks, Recreational/*statistics & numerical data
MH  - Reproducibility of Results
MH  - Residence Characteristics
MH  - Southeastern United States
MH  - Walking/*statistics & numerical data
MH  - Young Adult
PMC - PMC4730393
OTO - NOTNLM
OT  - Statistical validation
OT  - accessibility to healthcare facilities
OT  - density of fast-food restaurant
OT  - social determinants of cardiovascular disease
OT  - walkability
OT  - web-based GIS application
EDAT- 2015/12/26 06:00
MHDA- 2016/08/10 06:00
PMCR- 2016/01/01
CRDT- 2015/12/26 06:00
PHST- 2015/07/13 00:00 [received]
PHST- 2015/09/30 00:00 [revised]
PHST- 2015/10/14 00:00 [accepted]
PHST- 2015/12/26 06:00 [entrez]
PHST- 2015/12/26 06:00 [pubmed]
PHST- 2016/08/10 06:00 [medline]
PHST- 2016/01/01 00:00 [pmc-release]
AID - ijerph13010002 [pii]
AID - ijerph-13-00002 [pii]
AID - 10.3390/ijerph13010002 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2015 Dec 22;13(1):ijerph13010002. doi: 
      10.3390/ijerph13010002.