About

The European Journal of Environment and Public Health (EJEPH) is a biannual academic journal that covers a broad spectrum of topics that are relevant to Public Health Sciences.

As a multidisciplinary scholarly journal, the European Journal of Environment and Public Health has an editorial board of highly qualified experts from many disciplines, who have been appointed to guide the journal's evolution and to adequately represent the breadth of the fields encompassed by the Public Health Sciences.

There is no submission fee for the European Journal of Environment and Public Health. You may expect rapid peer-review and publication of your manuscript as long as the academic standards are met.

European Journal of Environment and Public Health is published by Veritas Publications Ltd., UK, since the 1st of January 2019.

Current Issue

(Volume 3, Issue 2, 2019)

In Progress

Factors Associated with Emergency Departments in Utilization of Health Services among Minorities who are Enrolled in Medicare

Linda Martinez

EUROPEAN J ENV PUBLI, Volume 3, Issue 2, Article No: em0026

https://doi.org/10.29333/ejeph/5852

Research Article [Abstract] [PDF] [References]

REFERENCES

Agency for Healthcare Research & Quality (2017). National healthcare disparities report. AHRQ publication no. 05-0014. Available at: https://www.ahrq.gov/research/findings/nhqrdr/index.html
Center for Disease Control and Prevention (2015). The National Hospital Ambulatory Medical Care Survey (NHAMCS). Available at: https://www.cdc.gov/nchs/ahcd/index.htm
Centers for Disease Control and Prevention (2014). Chronic kidney disease surveillance System—United States. Available at: http://www.cdc.gov/ckd
Centers for Disease Control and Prevention (2016). Health, United States, 2016: With chartbook on long-term trends in health. Available at: https://www.cdc.gov/nchs/data/hus/hus16.pdf
Centers for Medicaid and Medicare Services (2018). Medicare benefit policy manual chapter 13 –rural health clinic (RHC) and federally qualified health center (FQHC) services. Table of contents (rev. 239, 01-09-18). Available at: https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/bp102c13.pdf
Gindi, R. M., Black, L. I., & Cohen, R. A. (2016). Reasons for emergency room use among U.S. adults aged 18-64: National Health Interview Survey, 2013 and 2014. Available at: https://www.ncbi.nlm.nih.gov/pubmed/26905514
Indian Health Care Improvement Act (2017). Public Law 94–437; Approved September 30, 1976; 25 U.S.C. 1601 et seq.] [As Amended Through P.L. 115–91, Enacted December 12, 2017].
Indian Self-Determination Act (1975). Public Law 93-638.
Mayberry, L. S., Berg, C. A., Harper, K. J., & Osborn, C. Y. (2016). The design, usability, and feasibility of a family-focused diabetes self-care support health intervention for diverse, low-income adults with Type 2 Diabetes. Journal of Diabetes Research. https://doi.org/10.1155/2016/7586385
Medicare Payment Advisory Commission (2016). Report to the Congress: Medicare and the health care delivery system – Executive report. Available at: http://www.medpac.gov/docs/default-source/reports/jun13_executivesummary.pdf?sfvrsn=0
Public Health Service Act, as Amended (42 U.S.C. 247b(k)(2)) (2009).
Shamshirgaran, S. M., Mamaghanian, A., Aliasgarzadeh, A., Aiminisani, N., Iranparvar-Alamdari, M., & Ataie, J. (2017). Age differences in diabetes-related complications and glycemic control. BMC Endocrine Disorders, 171-7. https://doi.org/10.1186/S12902-017-0175-5
United States Census Bureau (2017). Available at: https://www.census.gov/
Yan, J. W., Gushulak, K. M., Columbus, M. P., Hamelin, van Aarsen, K., Hamelin, A. L. Wells, G. A., & Stiell, I. G. (2017). Risk factors for recurrent emergency department visits for hyperglycemia in patients with diabetes mellitus. International Journal of Emergency Medicine, 10(1), 23. https://doi.org/10.1186/s12245-017-0150-y

eHealth: The Mainstay of Healthcare Delivery in the 21st Century

Miracle Ayomikun Adesina, Adesola Oyinkansola Abiodun

EUROPEAN J ENV PUBLI, Volume 3, Issue 2, Article No: em0027

https://doi.org/10.29333/ejeph/5853

Research Article [Abstract] [PDF] [References]

REFERENCES

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Katz, S. J., Moyer, C. A., Cox, D. T. and Stern, D. T. (2003). Effect of a triage-based E-mail system on clinic resource use and patient and physician satisfaction in primary care: A randomized controlled trial. J Gen Intern Med, 18(9), 736-744. https://doi.org/10.1046/j.1525-1497.2003.20756.x
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Cultural Competency-Related Content among Florida Colleges of Pharmacy Curricula

Jason T. Schales, Gebre-Egziabhe Kiros, Fran T. Close, Rima Tawk

EUROPEAN J ENV PUBLI, Volume 3, Issue 2, Article No: em0028

https://doi.org/10.29333/ejeph/5867

Research Article [Abstract] [PDF] [References]

REFERENCES

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Physiological Risk Profiles and Allostatic Load: Using Latent Profile Analysis to Examine Socioeconomic Differences in Physiological Patterns of Risk

Amber J. Johnson, William N. Dudley, Laurie Wideman, Mark Schulz

EUROPEAN J ENV PUBLI, Volume 3, Issue 2, Article No: em0029

https://doi.org/10.29333/ejeph/5870

Research Article [Abstract] [PDF] [References]

ABSTRACT

Purpose. The current study sought to expand implications of physiological weathering through the application of latent profile analysis to stress biomarkers to address limitations of traditional allostatic load calculations.
Methods. Latent profile analysis was applied biomarkers used in traditional allostatic load metrics to identify physiological risk profiles in the 2007-20010 National Health and Nutritional and Examination Survey. Multinomial logistic regression was used to determine the probability of risk profiles by race/ethnicity, age, gender, and poverty income ratio (PIR). Mean allostatic load score was assessed across each risk profile.
Results. Latent profile analysis identified four distinct profiles labeled low risk, inflammatory risk, cardiovascular risk, and hypertension risk. Race, age, and gender significantly increased odds of exhibiting a risk profile. Compared to Whites, Hispanics had significant higher odds of inflammatory (OR=1.43, 95% CI [1.06-1.92]) and cardiovascular risk profiles (OR=1.63, 95% CI [1.09-2.43]) while Blacks had higher odds of inflammatory (OR=1.76 95% CI [1.25-2.47]), cardiovascular (OR=2.12, 95% CI, [1.39-3.27]) and hypertension risk profiles (OR= 1.78, 95% CI [1.21-2.59]). Females held significant greater odds of all risk categories except hypertension in which they held the lowest odds (OR= .19, 95% CI [.14-.25]). Mean allostatic load scores were highest in the inflammatory (M=3.99, SD=1.66) and cardiovascular risk profiles (M=4.4, SD=1.84).
Conclusions. Employing latent profile analysis may expand traditional allostatic load methodology by identifying physiological risk patterns among those who experience allostatic load early in life. This may be useful for examining how cultural specific interventions may reduce cardiovascular risk among those exhibiting physiological risk profiles.

Keywords: allostatic load, latent profile analysis, risk profiles

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