136 related articles for article (PubMed ID: 29791476)
1. Identifying county characteristics associated with resident well-being: A population based study.
Roy B; Riley C; Herrin J; Spatz ES; Arora A; Kell KP; Welsh J; Rula EY; Krumholz HM
PLoS One; 2018; 13(5):e0196720. PubMed ID: 29791476
[TBL] [Abstract][Full Text] [Related]
2. Understanding Where We Are Well: Neighborhood-Level Social and Environmental Correlates of Well-Being in the Stanford Well for Life Study.
Chrisinger BW; Gustafson JA; King AC; Winter SJ
Int J Environ Res Public Health; 2019 May; 16(10):. PubMed ID: 31137589
[TBL] [Abstract][Full Text] [Related]
3. Breast and cervical cancer screening among women in metropolitan areas of the United States by county-level commuting time to work and use of public transportation, 2004 and 2006.
Coughlin SS; King J
BMC Public Health; 2010 Mar; 10():146. PubMed ID: 20302614
[TBL] [Abstract][Full Text] [Related]
4. Identifying characteristics of high-poverty counties in the United States with high well-being: an observational cross-sectional study.
Arora A; Spatz ES; Herrin J; Riley C; Roy B; Rula EY; Kell KP; Krumholz HM
BMJ Open; 2020 Sep; 10(9):e035645. PubMed ID: 32948545
[TBL] [Abstract][Full Text] [Related]
5. Driven to Support: Individual- and County-Level Factors Associated With Public Support for Active Transportation Policies.
Cradock AL; Barrett JL; Chriqui JF; Evenson KR; Goins KV; Gustat J; Heinrich KM; Perry CK; Scanze M; Schmid TL; Tabak RG; Umstattd Meyer MR; Valko C
Am J Health Promot; 2018 Mar; 32(3):657-666. PubMed ID: 29108441
[TBL] [Abstract][Full Text] [Related]
6. Examining the relationship between the food environment and adult diabetes prevalence by county economic and racial composition: an ecological study.
Haynes-Maslow L; Leone LA
BMC Public Health; 2017 Aug; 17(1):648. PubMed ID: 28793887
[TBL] [Abstract][Full Text] [Related]
7. Association of Social Mobility With the Income-Related Longevity Gap in the United States: A Cross-Sectional, County-Level Study.
Venkataramani A; Daza S; Emanuel E
JAMA Intern Med; 2020 Mar; 180(3):429-436. PubMed ID: 31961379
[TBL] [Abstract][Full Text] [Related]
8. Identification of Factors Associated With Variation in US County-Level Obesity Prevalence Rates Using Epidemiologic vs Machine Learning Models.
Scheinker D; Valencia A; Rodriguez F
JAMA Netw Open; 2019 Apr; 2(4):e192884. PubMed ID: 31026030
[TBL] [Abstract][Full Text] [Related]
9. Longitudinal Trajectories and Factors Associated With US County-Level Cardiovascular Mortality, 1980 to 2014.
Rao S; Hughes A; Segar MW; Wilson B; Ayers C; Das S; Halm EA; Pandey A
JAMA Netw Open; 2021 Nov; 4(11):e2136022. PubMed ID: 34846526
[TBL] [Abstract][Full Text] [Related]
10. Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older.
Riley C; Roy B; Herrin J; Spatz ES; Arora A; Kell KP; Rula EY; Krumholz HM
JAMA Netw Open; 2018 Sep; 1(5):e182136. PubMed ID: 30646154
[TBL] [Abstract][Full Text] [Related]
11. Particulate matter air pollution and national and county life expectancy loss in the USA: A spatiotemporal analysis.
Bennett JE; Tamura-Wicks H; Parks RM; Burnett RT; Pope CA; Bechle MJ; Marshall JD; Danaei G; Ezzati M
PLoS Med; 2019 Jul; 16(7):e1002856. PubMed ID: 31335874
[TBL] [Abstract][Full Text] [Related]
12. Impact of Income Inequality on the Nation's Health.
López DB; Loehrer AP; Chang DC
J Am Coll Surg; 2016 Oct; 223(4):587-94. PubMed ID: 27457253
[TBL] [Abstract][Full Text] [Related]
13. US-county level variation in intersecting individual, household and community characteristics relevant to COVID-19 and planning an equitable response: a cross-sectional analysis.
Chin T; Kahn R; Li R; Chen JT; Krieger N; Buckee CO; Balsari S; Kiang MV
BMJ Open; 2020 Sep; 10(9):e039886. PubMed ID: 32873684
[TBL] [Abstract][Full Text] [Related]
14. Development and Validation of a County-Level Social Determinants of Health Risk Assessment Tool for Cardiovascular Disease.
Hong YR; Mainous AG
Ann Fam Med; 2020 Jul; 18(4):318-325. PubMed ID: 32661032
[TBL] [Abstract][Full Text] [Related]
15. Individual- and county-level predictors of cervical cancer screening: a multi-level analysis.
Akinlotan MA; Weston C; Bolin JN
Public Health; 2018 Jul; 160():116-124. PubMed ID: 29803186
[TBL] [Abstract][Full Text] [Related]
16. Contextual analysis of breast and cervical cancer screening and factors associated with health care access among United States women, 2002.
Coughlin SS; Leadbetter S; Richards T; Sabatino SA
Soc Sci Med; 2008 Jan; 66(2):260-75. PubMed ID: 18022299
[TBL] [Abstract][Full Text] [Related]
17. Exploring Neighborhood Environments and Active Commuting in Chennai, India.
Adlakha D; Hipp JA; Sallis JF; Brownson RC
Int J Environ Res Public Health; 2018 Aug; 15(9):. PubMed ID: 30149686
[TBL] [Abstract][Full Text] [Related]
18. School and County Correlates Associated with Youth Body Mass Index.
Bai Y; Welk GJ
Med Sci Sports Exerc; 2017 Sep; 49(9):1842-1850. PubMed ID: 28463900
[TBL] [Abstract][Full Text] [Related]
19. County-level socioeconomic factors and residential racial, Hispanic, poverty, and unemployment segregation associated with drug overdose deaths in the United States, 2013-2017.
Frankenfeld CL; Leslie TF
Ann Epidemiol; 2019 Jul; 35():12-19. PubMed ID: 31080000
[TBL] [Abstract][Full Text] [Related]
20. Associations between environmental characteristics and active commuting to school among children: a cross-sectional study.
Aarts MJ; Mathijssen JJ; van Oers JA; Schuit AJ
Int J Behav Med; 2013 Dec; 20(4):538-55. PubMed ID: 23076641
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
