Environmental Factors as Determinants of Health in New Jersey, USA

Robert P. Blauvelt

Abstract


There is a well-documented association between socioeconomic factors and community health. While environmental conditions are considered in most public health evaluations, they have the least weighted values of all the metrics measured. The U.S. state of New Jersey has a very robust, long-standing environmental protection program combined with some of the highest educational attainment, employment, and income levels in the country. These conditions may have re-positioned or re-prioritized those societal factors that traditionally dominate health outcomes, placing greater emphasis on environmental factors. This paper seeks to evaluate whether in New Jersey at the county level the long-established connection between health status and environmental quality conditions needs to be re-defined. Because of its high per capita income, well-educated population, and strong industrial and service sector employment base, New Jersey residents are fairly healthy, and New Jersey is generally placed within the top ten healthiest places to live in the United States. Thus, this state is well positioned to assess the relative importance that releases to air, water, and soil may play in determining health outcomes. This is due to the state’s long history of significant pollution of its air, water, and soil coupled with a strong, effective regulatory program that slowly is achieving meaningful improvements to environmental quality.

Five data sets related to discharges to the air, water, or soil were compiled and tested separately against two New Jersey specific community health indices. The health surveys include the New Jersey Hospital Association’s 2019 report on social gaps and their impact on health (CHART) and the nationwide America’s Health Rankings (UHF). A Pearson’s product moment correlation coefficient was used to compare each state’s health ranking – both CHART and UHF - with the independent variable, environmental exposure data sets. The analysis found that there are no meaningful correlations between the environmental exposure data sets and the CHART or UHF county health rankings. This suggests that environmental factors may be over-weighted given the level of state and federal regulatory protection programs already in place within New Jersey. Policy makers should now consider two shifts in public health strategy: encouraging economic growth in areas with underperforming health outcomes so as to maximize those determinants that do most impact positive outcomes (insurance, income, etc.) coupled with aggressive enforcement of existing environmental regulations to protect communities from the possible consequences of that expanded development.


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DOI: https://doi.org/10.5296/jbls.v12i2.18686

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Copyright (c) 2021 Robert P. Blauvelt

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Journal of Biology and Life Science  ISSN 2157-6076

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