Distribution of Articles published per year
(2003 - 2016)
(2003 - 2016)
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Article 0 Reads 3 Citations Measuring the Storm: Methods of Quantifying Hurricane Exposure with Pregnancy Outcomes Published: 01 February 2016
Natural Hazards Review, doi: 10.1061/(asce)nh.1527-6996.0000204
Increasing coastal populations and storm intensity may lead to more adverse health effects from tropical storms and hurricanes. Exposure during pregnancy can influence birth outcomes through mechanisms related to healthcare, infrastructure disruption, stress, nutrition, and injury. However, accurate estimation of health effects may be limited by nonspecific exposure definitions that create potential misclassification. The two predominant hurricane exposure assignments are (1) the county of a FEMA presidential disaster declaration; and (2) the specified area within a storm track. The authors propose a third method: meteorological severity of wind speed. Based on the Saffir-Simpson categories, wind speed was examined through binary and quartile comparisons. All three methods of exposure classification were compared by examining the associations with county-level preterm birth and low-birth-weight rates among Florida women who were pregnant during the 2004 hurricane season. The county-level environmental quality index developed by the EPA was used to control for county-level environmental factors. Although the models yielded unexpected negative results and insignificant rate differences, a descriptive and mapping analysis of the exposure methods showed clear heterogeneity of county exposure.
Article 0 Reads 7 Citations Construction of an environmental quality index for public health research Published: 22 May 2014
Environmental Health, doi: 10.1186/1476-069x-13-39
A more comprehensive estimate of environmental quality would improve our understanding of the relationship between environmental conditions and human health. An environmental quality index (EQI) for all counties in the U.S. was developed.
Article 1 Read 1 Citation Putting Regulatory Data to Work at the Service of Public Health: Utilizing Data Collected Under the Clean Water Act Published: 02 July 2013
Water Quality, Exposure and Health, doi: 10.1007/s12403-013-0095-1
Under the Clean Water Act, the US Environmental Protection Agency (EPA) collects information from states on intended use and impairment of each water body. We explore the feasibility of using these data, collected for regulatory purposes, for public health analyses. Combining EPA impairment data and stream hydrology information we estimated the percent of stream length impaired for any use, recreational use, or drinking water use per county in the US as exposure variables. For health outcomes we abstracted county-level hospitalization rates of gastrointestinal infections, GI (ICD-9CM 001-009 excluding 008.45) and gastrointestinal symptoms, GS (ICD-9CM 558.9, 787) among US adults aged 65 years and older from the Center for Medicare and Medicaid Services (1991–2004). Linear mixed-effects models were used to assess county-level associations between percent impaired waters and hospitalization rates adjusted for population density, a proxy for person-to-person transmission. Contrary to expectation, both GI and GS were negatively associated with any water impairment in adjusted models (GI: −0.052, 95 % CI: −0.077, −0.028; GS: −0.438, 95 % CI: −0.702, −0.174). GI was also negatively associated with recreational water impairment (−0.079, 95 % CI: −0.123, −0.036 after adjustment). Neither outcome was associated with drinking water impairment. Limited state data were reported to the EPA for specific recreational (27 states) and drinking (13 states) water impairment, thus limiting the power of the study. Though limited, this analysis demonstrates the feasibility of utilizing regulatory data for public health analyses.
Article 0 Reads 5 Citations Sustainability, Health and Environmental Metrics: Impact on Ranking and Associations with Socioeconomic Measures for 50 ... Published: 22 February 2013
Sustainability, doi: 10.3390/su5020789
Waste and materials management, land use planning, transportation and infrastructure including water and energy can have indirect or direct beneficial impacts on the environment and public health. The potential for impact, however, is rarely viewed in an integrated fashion. To facilitate such an integrated view in support of community-based policy decision making, we catalogued and evaluated associations between common, publically available, Environmental (e), Health (h), and Sustainability (s) metrics and sociodemographic measurements (n = 10) for 50 populous U.S. cities. E, H, S indices combined from two sources were derived from component (e) (h) (s) metrics for each city. A composite EHS Index was derived to reflect the integration across the E, H, and S indices. Rank order of high performing cities was highly dependent on the E, H and S indices considered. When viewed together with sociodemographic measurements, our analyses further the understanding of the interplay between these broad categories and reveal significant sociodemographic disparities (e.g., race, education, income) associated with low performing cities. Our analyses demonstrate how publically available environmental, health, sustainability and socioeconomic data sets can be used to better understand interconnections between these diverse domains for more holistic community assessments.
Article 0 Reads 0 Citations Use of focus groups for the environmental health researcher. Published: 01 May 2005
J Environ Health,
Qualitative research techniques, such as focus groups, are often underutilized by the environmental health researcher. Researchers can use the data from focus groups for study planning and implementation, as well as the interpretation of study results. Focus group data can also be used to understand community risk perceptions and potential barriers to co munity acceptance of programs and policies. This paper describes the value of focus groups for the environmental health researcher. Examples from the literature are inccorporated to demonstrate the effective use of focus groups in a variety of environmental health research settings. A brief review of data analysis approaches, including commercially available software, is provided. The authors encourage increased application of this and other qualitative research methods in environmental health research.
Article 0 Reads 0 Citations Using commercial telephone directories to obtain a population‐based sample for mail survey of women of reproductive age Published: 01 July 2003
Paediatric and Perinatal Epidemiology, doi: 10.1046/j.1365-3016.2003.00502.x
In the United States, sampling women of reproductive age from the general population for research purposes is a challenge. Even more difficult is conducting a population‐based study of couples attempting pregnancy to assess fecundity and fertility or related impairments. To address the problem of obtaining representative samples from the population in order to study such health‐related issues, a commercially and readily available CD‐ROM telephone directory was used and tested as a sampling framework for studies aimed at enrolling gravid women aged 18–44 years. A self‐administered questionnaire (SAQ) was mailed to a stratified random sample of 10 005 (3%) households in Erie County, NY, USA.Overall, 17% of the questionnaires were undeliverable despite updating all addresses with residential software before mailing. Thirteen per cent (n = 1089) of the households returned completed questionnaires, of which 35% (n = 377) were completed by women aged 18–44 years. Using 1990 census information for zip code, respondents were more likely to be white and to have higher median household incomes than non‐respondents. Of the 377 women who completed the questionnaire, 79% had been pregnant at least once, 5% reported being unable to become pregnant, and 16% reporting never trying to become pregnant. Despite the overall low response to the SAQ, the sampling framework captured a diverse group of women of reproductive age who reported various fecundity and fertility outcomes. The use of low‐cost commercially available software linked to census data for selecting samples of women or couples for reproductive and perinatal research may be possible; however, oversampling of households, use of incentives and follow‐up of non‐respondents is needed to ensure adequate sample sizes.