Socioeconomic Status and the Physical and Mental Health of Arab and Chaldean Americans in Michigan.

Research that explains health of Arab and Chaldean Americans relative to the health of non-Arab White Americans is limited but steadily increasing. This study considers whether socioeconomic status moderates the relationship between race/ethnicity and physical and mental health. Data come from a state representative sample of Arab and Chaldean Americans-the 2013 Michigan Behavioral Risk Factor Survey and the 2013 Michigan Arab/Chaldean Behavioral Risk Factor Survey (N = 12,837 adults with 536 Arab/Chaldean Americans). Structural equation models examine whether socioeconomic status, operationalized as educational attainment, moderates the relationship between Arab/Chaldean identity and health, and whether physical activity, access to healthcare, and depression mediate the relationship between educational attainment and health. Results indicate that while Arab/Chaldean Americans have poor health relative to non-Arab White Americans, these differences are largely explained by educational differences. Depression, access to healthcare, and physical activity mediate the relationship between socioeconomic status and health of Arab/Chaldean Americans.

Behavioral and Environmental Explanations of Elevated Blood Lead Levels in Immigrant Children and Children of Immigrants.

Immigrant/refugee children sometimes have substantially higher blood lead levels (BLLs) than US-born children in similar environments. We try to understand why, by exploring the relationship between immigration status of mother and the BLLs of US-born children. We compared BLLs of children born in Michigan to immigrant and non-immigrant parents, using the Michigan database of BLL tests for 2002-2005, which includes the child's race, Medicaid eligibility and address. We added census data on socio-demographic/housing characteristics of the child's block group, and information about parents. Low parental education, single parent households, mothers' smoking and drinking, all increase the child's BLL. However, immigrant parents had fewer characteristics associated with high BLL than US born parents, and their children had lower BLLs than children of US-born mothers. Our findings suggest that prior findings of higher BLLs among immigrant/refugee children probably result from them starting life in high-lead environments.

Immunochemistry of adenoviruses: limitations and new horizons of gene therapy.

Adenoviruses have increasingly been recognized as significant viral pathogens causing high morbidity and mortality especially among immunocompromised individuals such as transplant recipients and AIDS patients. Through the infection process, after the adenovirus fiber and penton are bonded to cell surface receptors through special amino acid moieties, secondary messengers activate protein kinases, pro-inflammatory cytokines and chemokines. Serotype and species specific antibodies also are induced. Recombinant human adenoviruses have been pivotal in the development of gene therapy strategies and have shown a great promise for the treatment of genetic disorders and malignancies. Recent studies have enlightened their harmful immunological effects dependent on fiber and hexon polypeptide structure and receptor binding. Pre-existing antibodies or those elicited by vectors neutralize input recombinant adenovirus particles rendering them ineffective. Mediators induce serious even lethal side effects and cytotoxic reactions which extinguish transgene expression. To overcome these difficulties new strategies are required in the application of recombinant adenoviruses to redirect vector entry from the natural receptors to alternative binding sites or using rare human or animal adenovirus fiber molecules to modify the native fiber structure by altering amino acid structure and creating chimeric fibers. This requires searching for, isolating and characterizing new serotypes, mutants or variants for new generation vectors. Human adenovirus 1 feline isolate (feline adenovirus) might fulfil these criteria.

The predictive value of self-report questions in a clinical decision rule for pediatric lead poisoning screening.

OBJECTIVE: We derived a clinical decision rule for determining which young children need testing for lead poisoning. We developed an equation that combines lead exposure self-report questions with the child's census-block housing and socioeconomic characteristics, personal demographic characteristics, and Medicaid status. This equation better predicts elevated blood lead level (EBLL) than one using ZIP code and Medicaid status. METHODS: A survey regarding potential lead exposure was administered from October 2001 to January 2003 to Michigan parents at pediatric clinics (n=3,396). These self-report survey data were linked to a statewide clinical registry of blood lead level (BLL) tests. Sensitivity and specificity were calculated and then used to estimate the cost-effectiveness of the equation. RESULTS: The census-block group prediction equation explained 18.1% of the variance in BLLs. Replacing block group characteristics with the self-report questions and dichotomized ZIP code risk explained only 12.6% of the variance. Adding three self-report questions to the census-block group model increased the variance explained to 19.9% and increased specificity with no loss in sensitivity in detecting EBLLs of ≥ 10 micrograms per deciliter. CONCLUSIONS: Relying solely on self-reports of lead exposure predicted BLL less effectively than the block group model. However, adding three of 13 self-report questions to our clinical decision rule significantly improved prediction of which children require a BLL test. Using the equation as the clinical decision rule would annually eliminate more than 7,200 unnecessary tests in Michigan and save more than $220,000.

Comparing lead poisoning risk assessment methods: census block group characteristics vs. zip codes as predictors.

OBJECTIVE: We determined which children should be tested for elevated blood lead levels (BLLs) in the face of financial and practical barriers to universal screening efforts and within 2009 Centers for Disease Control and Prevention recommendations allowing health departments to develop BLL screening strategies. METHODS: We used the Michigan database of BLL tests from 1998 through 2005, which contains address, Medicaid eligibility, and race data. Linking addresses to U.S. Census 2000 data by block group provided neighborhood sociodemographic and housing characteristics. To derive an equation predicting BLL, we treated BLL as a continuous variable and used Hierarchical Linear Modeling to estimate the prediction equation. RESULTS: Census block groups explained more variance in BLL than tracts and much more than dichotomized zip code risk (which is current pediatric practice). Housing built before 1940, socioeconomic status and racial/ethnic characteristics of the block group, child characteristics, and empirical Bayesian residuals explained more than 41% of the variance in BLL during 1998-2001. By contrast, zip code risk and Medicaid status only explained 15% of the BLL variance. An equation using 1998-2001 BLL data predicted well for BLL tests performed in 2002-2005. While those who received BLL tests had above-average risk, this method produced minimal bias in using the prediction equation for all children. CONCLUSIONS: Our equation offers better specificity and sensitivity than using dichotomized zip codes and Medicaid status, thereby identifying more high-risk children while also offering substantial cost savings. Our prediction equation can be used with a simple Internet-based program that allows health-care providers to enter minimal information and determine whether a BLL test is recommended.