Factors associated with self-reported health: implications for screening level community-based health and environmental studies

被引:57
作者
Gallagher, Jane E. [1 ]
Wilkie, Adrien A. [2 ]
Cordner, Alissa [3 ]
Hudgens, Edward E. [1 ]
Ghio, Andrew J. [1 ]
Birch, Rebecca J. [4 ]
Wade, Timothy J. [1 ]
机构
[1] US EPA, Environm Publ Hlth Div, Natl Hlth & Environm Effects Res Lab, Mail Drop 58C, Res Triangle Pk, NC 27711 USA
[2] US EPA, Oak Ridge Inst Sci & Educ, Environm Publ Hlth Div, Natl Hlth & Environm Effects Res Lab, Mail Drop 58C, Res Triangle Pk, NC 27711 USA
[3] Whitman Coll, Dept Sociol, 345 Boyer Ave, Walla Walla, WA 99362 USA
[4] Westat Corp, 1600 Res Blvd, Rockville, MD 20850 USA
关键词
Self-reported health; Screening level health assessment; Clinical measures; Metal mixtures analyses; NHANES; CELL DISTRIBUTION WIDTH; RATED HEALTH; LIFE-STYLE; SOCIOECONOMIC-STATUS; CUMULATIVE RISK; MORTALITY; ADULTS; DETERMINANTS; ADOLESCENTS; BIOMARKERS;
D O I
10.1186/s12889-016-3321-5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Advocates for environmental justice, local, state, and national public health officials, exposure scientists, need broad-based health indices to identify vulnerable communities. Longitudinal studies show that perception of current health status predicts subsequent mortality, suggesting that self-reported health (SRH) may be useful in screening-level community assessments. This paper evaluates whether SRH is an appropriate surrogate indicator of health status by evaluating relationships between SRH and sociodemographic, lifestyle, and health care factors as well as serological indicators of nutrition, health risk, and environmental exposures. Methods: Data were combined from the 2003-2006 National Health and Nutrition Examination Surveys for 1372 nonsmoking 20-50 year olds. Ordinal and binary logistic regression was used to estimate odds ratios and 95 % confidence intervals of reporting poorer health based on measures of nutrition, health condition, environmental contaminants, and sociodemographic, health care, and lifestyle factors. Results: Poorer SRH was associated with several serological measures of nutrition, health condition, and biomarkers of toluene, cadmium, lead, and mercury exposure. Race/ethnicity, income, education, access to health care, food security, exercise, poor mental and physical health, prescription drug use, and multiple health outcome measures (e.g., diabetes, thyroid problems, asthma) were also associated with poorer SRH. Conclusion: Based on the many significant associations between SRH and serological assays of health risk, sociodemographic measures, health care access and utilization, and lifestyle factors, SRH appears to be a useful health indicator with potential relevance for screening level community-based health and environmental studies.
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页数:15
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