Last data update: Oct 28, 2024. (Total: 48004 publications since 2009)
Records 1-17 (of 17 Records) |
Query Trace: Aoki Y[original query] |
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Erratum: Vol. 71, No. 6.
Lambrou AS , Shirk P , Steele MK , Paul P , Paden CR , Cadwell B , Reese HE , Aoki Y , Hassell N , Caravas J , Kovacs NA , Gerhart JG , Ng HJ , Zheng XY , Beck A , Chau R , Cintron R , Cook PW , Gulvik CA , Howard D , Jang Y , Knipe K , Lacek KA , Moser KA , Paskey AC , Rambo-Martin BL , Nagilla RR , Rethchless AC , Schmerer MW , Seby S , Shephard SS , Stanton RA , Stark TJ , Uehara A , Unoarumhi Y , Bentz ML , Burhgin A , Burroughs M , Davis ML , Keller MW , Keong LM , Le SS , Lee JS , Madden Jr JC , Nobles S , Owouor DC , Padilla J , Sheth M , Wilson MM , Talarico S , Chen JC , Oberste MS , Batra D , McMullan LK , Halpin AL , Galloway SE , MacCannell DR , Kondor R , Barnes J , MacNeil A , Silk BJ , Dugan VG , Scobie HM , Wentworth DE . MMWR Morb Mortal Wkly Rep 2022 71 (14) 528 The report “Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants — United States, June 2021–January 2022” contained several errors. |
Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants - United States, June 2021-January 2022.
Lambrou AS , Shirk P , Steele MK , Paul P , Paden CR , Cadwell B , Reese HE , Aoki Y , Hassell N , Caravas J , Kovacs NA , Gerhart JG , Ng HJ , Zheng XY , Beck A , Chau R , Cintron R , Cook PW , Gulvik CA , Howard D , Jang Y , Knipe K , Lacek KA , Moser KA , Paskey AC , Rambo-Martin BL , Nagilla RR , Rethchless AC , Schmerer MW , Seby S , Shephard SS , Stanton RA , Stark TJ , Uehara A , Unoarumhi Y , Bentz ML , Burhgin A , Burroughs M , Davis ML , Keller MW , Keong LM , Le SS , Lee JS , Madden Jr JC , Nobles S , Owouor DC , Padilla J , Sheth M , Wilson MM , Talarico S , Chen JC , Oberste MS , Batra D , McMullan LK , Halpin AL , Galloway SE , MacCannell DR , Kondor R , Barnes J , MacNeil A , Silk BJ , Dugan VG , Scobie HM , Wentworth DE . MMWR Morb Mortal Wkly Rep 2022 71 (6) 206-211 Genomic surveillance is a critical tool for tracking emerging variants of SARS-CoV-2 (the virus that causes COVID-19), which can exhibit characteristics that potentially affect public health and clinical interventions, including increased transmissibility, illness severity, and capacity for immune escape. During June 2021-January 2022, CDC expanded genomic surveillance data sources to incorporate sequence data from public repositories to produce weighted estimates of variant proportions at the jurisdiction level and refined analytic methods to enhance the timeliness and accuracy of national and regional variant proportion estimates. These changes also allowed for more comprehensive variant proportion estimation at the jurisdictional level (i.e., U.S. state, district, territory, and freely associated state). The data in this report are a summary of findings of recent proportions of circulating variants that are updated weekly on CDC's COVID Data Tracker website to enable timely public health action.(†) The SARS-CoV-2 Delta (B.1.617.2 and AY sublineages) variant rose from 1% to >50% of viral lineages circulating nationally during 8 weeks, from May 1-June 26, 2021. Delta-associated infections remained predominant until being rapidly overtaken by infections associated with the Omicron (B.1.1.529 and BA sublineages) variant in December 2021, when Omicron increased from 1% to >50% of circulating viral lineages during a 2-week period. As of the week ending January 22, 2022, Omicron was estimated to account for 99.2% (95% CI = 99.0%-99.5%) of SARS-CoV-2 infections nationwide, and Delta for 0.7% (95% CI = 0.5%-1.0%). The dynamic landscape of SARS-CoV-2 variants in 2021, including Delta- and Omicron-driven resurgences of SARS-CoV-2 transmission across the United States, underscores the importance of robust genomic surveillance efforts to inform public health planning and practice. |
Genomic Surveillance for SARS-CoV-2 Variants Circulating in the United States, December 2020-May 2021.
Paul P , France AM , Aoki Y , Batra D , Biggerstaff M , Dugan V , Galloway S , Hall AJ , Johansson MA , Kondor RJ , Halpin AL , Lee B , Lee JS , Limbago B , MacNeil A , MacCannell D , Paden CR , Queen K , Reese HE , Retchless AC , Slayton RB , Steele M , Tong S , Walters MS , Wentworth DE , Silk BJ . MMWR Morb Mortal Wkly Rep 2021 70 (23) 846-850 SARS-CoV-2, the virus that causes COVID-19, is constantly mutating, leading to new variants (1). Variants have the potential to affect transmission, disease severity, diagnostics, therapeutics, and natural and vaccine-induced immunity. In November 2020, CDC established national surveillance for SARS-CoV-2 variants using genomic sequencing. As of May 6, 2021, sequences from 177,044 SARS-CoV-2-positive specimens collected during December 20, 2020-May 6, 2021, from 55 U.S. jurisdictions had been generated by or reported to CDC. These included 3,275 sequences for the 2-week period ending January 2, 2021, compared with 25,000 sequences for the 2-week period ending April 24, 2021 (0.1% and 3.1% of reported positive SARS-CoV-2 tests, respectively). Because sequences might be generated by multiple laboratories and sequence availability varies both geographically and over time, CDC developed statistical weighting and variance estimation methods to generate population-based estimates of the proportions of identified variants among SARS-CoV-2 infections circulating nationwide and in each of the 10 U.S. Department of Health and Human Services (HHS) geographic regions.* During the 2-week period ending April 24, 2021, the B.1.1.7 and P.1 variants represented an estimated 66.0% and 5.0% of U.S. SARS-CoV-2 infections, respectively, demonstrating the rise to predominance of the B.1.1.7 variant of concern(†) (VOC) and emergence of the P.1 VOC in the United States. Using SARS-CoV-2 genomic surveillance methods to analyze surveillance data produces timely population-based estimates of the proportions of variants circulating nationally and regionally. Surveillance findings demonstrate the potential for new variants to emerge and become predominant, and the importance of robust genomic surveillance. Along with efforts to characterize the clinical and public health impact of SARS-CoV-2 variants, surveillance can help guide interventions to control the COVID-19 pandemic in the United States. |
Food service guideline policies on local government-controlled properties
Zaganjor H , Bishop Kendrick K , Onufrak S , Ralston Aoki J , Whitsel LP , Kimmons J . Am J Health Promot 2019 33 (8) 890117119865146 PURPOSE: Local governments can implement food service guideline (FSG) policies, which, in large cities, may reach millions of people. This study identified FSG policies among the 20 largest US cities and analyzed them for key FSG policy attributes. DESIGN: Quantitative research. SETTING: Local government facilities. PARTICIPANTS: Twenty largest US cities. MEASURES: Frequency of FSG policies and percent alignment to tool. ANALYSIS: Using municipal legal code libraries and other data sources, FSG policies enacted as of December 31, 2016, were identified. Full-text reviews were conducted of identified policies to determine whether they met inclusion criteria. Included policies were analyzed for key policy attributes specific to nutrition, behavioral design, implementation, and facility efficiency. RESULTS: Searches identified 469 potential FSG policies, of which 6 policies across 5 cities met inclusion criteria. Five policies met a majority of criteria assessed by the classification tool. Overall alignment to the tool ranged from 17% to 88%. Of the 6 policies, 5 met a majority of the nutrition attributes and 5 met at least 50% of attributes associated with implementation. No policies met the attributes associated with facility efficiency. CONCLUSION: The FSG policies were identified in 5 of the 20 US cities. Policy alignment was high for nutrition and implementation attributes. This analysis suggests that when cities adopt FSG policies, many develop policies that align with key policy attributes. These policies can serve as models for other jurisdictions to create healthier food access through FSGs. |
Age-specific reference ranges are needed to interpret serum methylmalonic acid concentrations in the US population
Mineva EM , Sternberg MR , Zhang M , Aoki Y , Storandt R , Bailey RL , Pfeiffer CM . Am J Clin Nutr 2019 110 (1) 158-168 BACKGROUND: Serum vitamin B-12 is measured to evaluate vitamin B-12 status. Serum methylmalonic acid (MMA) is a specific functional indicator of vitamin B-12 status; however, concentrations increase with impaired renal function. OBJECTIVE: The aim of this study was to describe the distribution of serum vitamin B-12 and MMA in US adults, and estimate age-specific reference intervals for serum MMA in a healthy subpopulation with replete vitamin B-12 status and normal renal function. METHODS: We examined cross-sectional data for serum vitamin B-12 and MMA in adults participating in the NHANES from 2011 to 2014. Vitamin B-12 was measured by electrochemiluminescence assay and MMA by isotope-dilution liquid chromatography-tandem mass spectrometry. RESULTS: In both bivariate and multivariate analyses, age, race/Hispanic origin, and vitamin B-12 supplement use were generally significantly associated with serum vitamin B-12 and MMA concentrations. Serum MMA concentrations increased with age, particularly in persons aged >/=70 y. Non-Hispanic white persons had lower vitamin B-12 and higher MMA concentrations than non-Hispanic black persons. Shorter fasting times and impaired renal function were significantly associated with higher serum MMA concentrations, but not with serum vitamin B-12 concentrations after controlling for covariates. The central 95% reference intervals for serum vitamin B-12 and MMA concentrations were widest for persons aged >/=70 y compared with younger age groups. Compared with the overall population, the central 95% reference intervals for serum MMA concentrations were considerably narrower for a vitamin B-12-replete subpopulation with normal renal function, but still age-dependent. Serum vitamin B-12 showed little, whereas serum MMA showed notable, increases with impaired renal function. CONCLUSIONS: The higher serum MMA concentrations throughout the entire distribution in older persons (especially persons aged >/=70 y) who are vitamin B-12-replete and have normal renal function indicate the need for age-specific MMA reference intervals to better interpret vitamin B-12 status in epidemiologic research. |
Iodine status and consumption of key iodine sources in the U.S. population with special attention to reproductive age women
Herrick KA , Perrine CG , Aoki Y , Caldwell KL . Nutrients 2018 10 (7) We estimated iodine status (median urinary iodine concentration (mUIC (µg/L))) for the US population (6 years and over; n = 4613) and women of reproductive age (WRA) (15(-)44 years; n = 901). We estimated mean intake of key iodine sources by race and Hispanic origin. We present the first national estimates of mUIC for non-Hispanic Asian persons and examine the intake of soy products, a potential source of goitrogens. One-third of National Health and Nutrition Examination Survey (NHANES) participants in 2011(-)2014 provided casual urine samples; UIC was measured in these samples. We assessed dietary intake with one 24-h recall and created food groups using the USDA’s food/beverage coding scheme. For WRA, mUIC was 110 µg/L. For both non-Hispanic white (106 µg/L) and non-Hispanic Asian (81 µg/L) WRA mUIC was significantly lower than mUIC among Hispanic WRA (133 µg/L). Non-Hispanic black WRA had a mUIC of 124 µg/L. Dairy consumption was significantly higher among non-Hispanic white (162 g) compared to non-Hispanic black WRA (113 g). Soy consumption was also higher among non-Hispanic Asian WRA (18 g compared to non-Hispanic black WRA (1 g). Differences in the consumption pattern of key sources of iodine and goitrogens may put subgroups of individuals at risk of mild iodine deficiency. Continued monitoring of iodine status and variations in consumption patterns is needed. |
WIC participation and blood lead levels among children 1-5 years: 2007-2014
Aoki Y , Brody DJ . Environ Health Perspect 2018 126 (6) 067011 BACKGROUND: The CDC recommends a targeted strategy for childhood blood lead screening based on participation in federal programs, such as Medicaid and the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). Yet, there is scarcity of data on blood lead levels (BLLs) among WIC participants. OBJECTIVE: Our objective was to investigate whether children participating in WIC and not enrolled in Medicaid, who have not been targeted in the historical Medicaid-focused screening strategy, have higher BLLs than children in neither of these programs. METHODS: The analysis included 3,180 children 1-5 y of age in the National Health and Nutrition Examination Surveys conducted in 2007-2014. Log-binomial regression, which allows direct estimation of prevalence ratios, was used to examine associations between WIC participation (in conjunction with Medicaid enrollment) and having BLLs >/=5 mug/dL with adjustment for age (1-2 vs. 3-5 y). RESULTS: The percentage of children participating in "WIC only," "Medicaid only," "both WIC and Medicaid," and "neither" were 18.9%, 10.8%, 25.4%, and 44.9%, respectively. "WIC only," "Medicaid only," and "both WIC and Medicaid" children were more likely to have BLLs >/=5 mug/dL than children who were not enrolled in either program, with adjusted prevalence ratios of 3.29 [95% confidence interval (CI): 1.19, 9.09], 4.56 (95% CI: 2.18, 9.55), and 2.58 (95% CI: 1.18, 5.63). CONCLUSIONS: Children participating in WIC but not Medicaid were more likely to have BLLs >/=5 mug/dL than children who were not enrolled in either program. These findings may inform public health recommendations and clinical practice guidelines. |
Differences in obesity prevalence by demographic characteristics and urbanization level among adults in the United States, 2013-2016
Hales CM , Fryar CD , Carroll MD , Freedman DS , Aoki Y , Ogden CL . JAMA 2018 319 (23) 2419-2429 Importance: Differences in obesity by sex, age group, race and Hispanic origin among US adults have been reported, but differences by urbanization level have been less studied. Objectives: To provide estimates of obesity by demographic characteristics and urbanization level and to examine trends in obesity prevalence by urbanization level. Design, Setting, and Participants: Serial cross-sectional analysis of measured height and weight among adults aged 20 years or older in the 2001-2016 National Health and Nutrition Examination Survey, a nationally representative survey of the civilian, noninstitutionalized US population. Exposures: Sex, age group, race and Hispanic origin, education level, smoking status, and urbanization level as assessed by metropolitan statistical areas (MSAs; large: >/=1 million population). Main Outcomes and Measures: Prevalence of obesity (body mass index [BMI] >/=30) and severe obesity (BMI >/=40) by subgroups in 2013-2016 and trends by urbanization level between 2001-2004 and 2013-2016. Results: Complete data on weight, height, and urbanization level were available for 10792 adults (mean age, 48 years; 51% female [weighted]). During 2013-2016, 38.9% (95% CI, 37.0% to 40.7%) of US adults had obesity and 7.6% (95% CI, 6.8% to 8.6%) had severe obesity. Men living in medium or small MSAs had a higher age-adjusted prevalence of obesity compared with men living in large MSAs (42.4% vs 31.8%, respectively; adjusted difference, 9.8 percentage points [95% CI, 5.1 to 14.5 percentage points]); however, the age-adjusted prevalence among men living in non-MSAs was not significantly different compared with men living in large MSAs (38.9% vs 31.8%, respectively; adjusted difference, 4.8 percentage points [95% CI, -2.9 to 12.6 percentage points]). The age-adjusted prevalence of obesity was higher among women living in medium or small MSAs compared with women living in large MSAs (42.5% vs 38.1%, respectively; adjusted difference, 4.3 percentage points [95% CI, 0.2 to 8.5 percentage points]) and among women living in non-MSAs compared with women living in large MSAs (47.2% vs 38.1%, respectively; adjusted difference, 4.7 percentage points [95% CI, 0.2 to 9.3 percentage points]). Similar patterns were seen for severe obesity except that the difference between men living in large MSAs compared with non-MSAs was significant. The age-adjusted prevalence of obesity and severe obesity also varied significantly by age group, race and Hispanic origin, and education level, and these patterns of variation were often different by sex. Between 2001-2004 and 2013-2016, the age-adjusted prevalence of obesity and severe obesity significantly increased among all adults at all urbanization levels. Conclusions and Relevance: In this nationally representative survey of adults in the United States, the age-adjusted prevalence of obesity and severe obesity in 2013-2016 varied by level of urbanization, with significantly greater prevalence of obesity and severe obesity among adults living in nonmetropolitan statistical areas compared with adults living in large metropolitan statistical areas. |
Differences in obesity prevalence by demographics and urbanization in US children and adolescents, 2013-2016
Ogden CL , Fryar CD , Hales CM , Carroll MD , Aoki Y , Freedman DS . JAMA 2018 319 (23) 2410-2418 Importance: Differences in childhood obesity by demographics and urbanization have been reported. Objective: To present data on obesity and severe obesity among US youth by demographics and urbanization and to investigate trends by urbanization. Design, Setting, and Participants: Measured weight and height among youth aged 2 to 19 years in the 2001-2016 National Health and Nutrition Examination Surveys, which are serial, cross-sectional, nationally representative surveys of the civilian, noninstitutionalized population. Exposures: Sex, age, race and Hispanic origin, education of household head, and urbanization, as assessed by metropolitan statistical areas (MSAs; large: >/= 1 million population). Main Outcomes and Measures: Prevalence of obesity (body mass index [BMI] >/=95th percentile of US Centers for Disease Control and Prevention [CDC] growth charts) and severe obesity (BMI >/=120% of 95th percentile) by subgroups in 2013-2016 and trends by urbanization between 2001-2004 and 2013-2016. Results: Complete data on weight, height, and urbanization were available for 6863 children and adolescents (mean age, 11 years; female, 49%). In 2013-2016, the prevalence among youth aged 2 to 19 years was 17.8% (95% CI, 16.1%-19.6%) for obesity and 5.8% (95% CI, 4.8%-6.9%) for severe obesity. Prevalence of obesity in large MSAs (17.1% [95% CI, 14.9%-19.5%]), medium or small MSAs (17.2% [95% CI, 14.5%-20.2%]) and non-MSAs (21.7% [95% CI, 16.1%-28.1%]) were not significantly different from each other (range of pairwise comparisons P = .09-.96). Severe obesity was significantly higher in non-MSAs (9.4% [95% CI, 5.7%-14.4%]) compared with large MSAs (5.1% [95% CI, 4.1%-6.2%]; P = .02). In adjusted analyses, obesity and severe obesity significantly increased with greater age and lower education of household head, and severe obesity increased with lower level of urbanization. Compared with non-Hispanic white youth, obesity and severe obesity prevalence were significantly higher among non-Hispanic black and Hispanic youth. Severe obesity, but not obesity, was significantly lower among non-Hispanic Asian youth than among non-Hispanic white youth. There were no significant linear or quadratic trends in obesity or severe obesity prevalence from 2001-2004 to 2013-2016 for any urbanization category (P range = .07-.83). Conclusions and Relevance: In 2013-2016, there were differences in the prevalence of obesity and severe obesity by age, race and Hispanic origin, and household education, and severe obesity was inversely associated with urbanization. Demographics were not related to the urbanization findings. |
Blood cadmium by race/Hispanic origin: The role of smoking
Aoki Y , Yee J , Mortensen ME . Environ Res 2017 155 193-198 BACKGROUND: There have been increasing concerns over health effects of low level exposure to cadmium, especially those on bones and kidneys. OBJECTIVE: To explore how age-adjusted geometric means of blood cadmium in adults varied by race/Hispanic origin, sex, and smoking status among U.S. adults and the extent to which the difference in blood cadmium by race/Hispanic origin and sex may be explained by intensity of smoking, a known major source of cadmium exposure. METHODS: Our sample included 7,368 adults from National Health and Nutrition Examination Survey (NHANES) 2011-2014. With direct age adjustment, geometric means of blood cadmium and number of cigarettes smoked per day were estimated for subgroups defined by race/Hispanic origin, smoking status, and sex using interval regression, which allows mean estimation in the presence of left- and right-censoring. RESULTS: Among never and former smoking men and women, blood cadmium tended to be higher for non-Hispanic Asian adults than adults of other race/Hispanic origin. Among current smokers, who generally had higher blood cadmium than never and former smokers, non-Hispanic white, black, and Asian adults had similarly elevated blood cadmium compared to Hispanic adults. A separate analysis revealed that non-Hispanic white adults tended to have the highest smoking intensity regardless of sex, than adults of the other race/Hispanic origin groups. CONCLUSIONS: The observed pattern provided evidence for smoking as a major source of cadmium exposure, yet factors other than smoking also appeared to contribute to higher blood cadmium of non-Hispanic Asian adults. |
Food service guideline policies on state government-controlled properties
Zaganjor H , Bishop Kendrick K , Warnock AL , Onufrak S , Whitsel LP , Ralston Aoki J , Kimmons J . Am J Health Promot 2016 32 (6) 1340-1352 PURPOSE: Food service guideline (FSG) policies can impact millions of daily meals sold or provided to government employees, patrons, and institutionalized persons. This study describes a classification tool to assess FSG policy attributes and uses it to rate FSG policies. DESIGN: Quantitative content analysis. SETTING: State government facilities in the United States. PARTICIPANTS: Participants were from 50 states and District of Columbia in the United States. MEASURES: Frequency of FSG policies and percentage alignment to tool. ANALYSIS: State-level policies were identified using legal research databases to assess bills, statutes, regulations, and executive orders proposed or adopted by December 31, 2014. Full-text reviews were conducted to determine inclusion. Included policies were analyzed to assess attributes related to nutrition, behavioral supports, and implementation guidance. RESULTS: A total of 31 policies met the inclusion criteria; 15 were adopted. Overall alignment ranged from 0% to 86%, and only 10 policies aligned with a majority of the FSG policy attributes. Western states had the most FSG policies proposed or adopted (11 policies). The greatest number of FSG policies were proposed or adopted (8 policies) in 2011, followed by the years 2013 and 2014. CONCLUSION: The FSG policies proposed or adopted through 2014 that intended to improve the food and beverage environment on state government property vary considerably in their content. This analysis offers baseline data on the FSG landscape and information for future FSG policy assessments. |
Housing assistance and blood lead levels: Children in the United States, 2005-2012
Ahrens KA , Haley BA , Rossen LM , Lloyd PC , Aoki Y . Am J Public Health 2016 106 (11) e1-e8 OBJECTIVES: To compare blood lead levels (BLLs) among US children aged 1 to 5 years according to receipt of federal housing assistance. METHODS: In our analyses, we used 2005 to 2012 data for National Health and Nutrition Examination Survey (NHANES) respondents that were linked to 1999 to 2014 administrative records from the US Department of Housing and Urban Development (HUD). After we restricted the analysis to children with family income-to-poverty ratios below 200%, we compared geometric mean BLLs and the prevalence of BLLs of 3 micrograms per deciliter or higher among children who were living in assisted housing at the time of their NHANES blood draw (n = 151) with data for children who did not receive housing assistance (n = 1099). RESULTS: After adjustment, children living in assisted housing had a significantly lower geometric mean BLL (1.44 microg/dL; 95% confidence interval [CI] = 1.31, 1.57) than comparable children who did not receive housing assistance (1.79 microg/dL; 95% CI = 1.59, 2.01; P < .01). The prevalence ratio for BLLs of 3 micrograms per deciliter or higher was 0.51 (95% CI = 0.33, 0.81; P < .01). CONCLUSIONS: Children aged 1 to 5 years during 2005 to 2012 who were living in HUD-assisted housing had lower BLLs than expected given their demographic, socioeconomic, and family characteristics. (Am J Public Health. Published online ahead of print September 15, 2016: e1-e8. doi:10.2105/AJPH.2016.303432). |
Blood lead and other metal biomarkers as risk factors for cardiovascular disease mortality
Aoki Y , Brody DJ , Flegal KM , Fakhouri TH , Parker JD , Axelrad DA . Medicine (Baltimore) 2016 95 (1) e2223 Analyses of the Third National Health and Nutrition Examination Survey (NHANES III) in 1988 to 1994 found an association of increasing blood lead levels <10 mug/dL with a higher risk of cardiovascular disease (CVD) mortality. The potential need to correct blood lead for hematocrit/hemoglobin and adjust for biomarkers for other metals, for example, cadmium and iron, had not been addressed in the previous NHANES III-based studies on blood lead-CVD mortality association.We analyzed 1999 to 2010 NHANES data for 18,602 participants who had a blood lead measurement, were ≥40 years of age at the baseline examination and were followed for mortality through 2011. We calculated the relative risk for CVD mortality as a function of hemoglobin- or hematocrit-corrected log-transformed blood lead through Cox proportional hazard regression analysis with adjustment for serum iron, blood cadmium, serum C-reactive protein, serum calcium, smoking, alcohol intake, race/Hispanic origin, and sex.The adjusted relative risk for CVD mortality was 1.44 (95% confidence interval = 1.05, 1.98) per 10-fold increase in hematocrit-corrected blood lead with little evidence of nonlinearity. Similar results were obtained with hemoglobin-corrected blood lead. Not correcting blood lead for hematocrit/hemoglobin resulted in underestimation of the lead-CVD mortality association while not adjusting for iron status and blood cadmium resulted in overestimation of the lead-CVD mortality association.In a nationally representative sample of U.S. adults, log-transformed blood lead was linearly associated with increased CVD mortality. Correcting blood lead for hematocrit/hemoglobin and adjustments for some biomarkers affected the association. |
More than half of US youth consume seafood and most have blood mercury concentrations below the EPA reference level, 2009-2012
Nielsen SJ , Aoki Y , Kit BK , Ogden CL . J Nutr 2015 145 (2) 322-7 BACKGROUND: Consuming seafood has health benefits, but seafood can also contain methylmercury, a neurotoxicant. Exposure to methylmercury affects children at different stages of brain development, including during adolescence. OBJECTIVE: The objective was to examine seafood consumption and blood mercury concentrations in US youth. METHODS: In the 2009-2012 NHANES, a cross-sectional nationally representative sample of the US population, seafood consumption in the past 30 d and blood mercury concentrations on the day of examination were collected from 5656 youth aged 1-19 y. Log-linear regression was used to examine the association between frequency of specific seafood consumption and blood mercury concentration, adjusting for race/Hispanic origin, sex, and age. RESULTS: In 2009-2012, 62.4% +/- 1.4% (percent +/- SE) of youth consumed any seafood in the preceding month; 38.4% +/- 1.4% and 48.5% +/- 1.5% reported consuming shellfish and fish, respectively. In 2009-2012, the geometric mean blood mercury concentration was 0.50 +/- 0.02 mug/L among seafood consumers and 0.27 +/- 0.01 mug/L among those who did not consume seafood. Less than 0.5% of youth had blood mercury concentrations ≥5.8 mug/L. In adjusted log-linear regression analysis, no significant associations were observed between frequency of breaded fish or catfish consumption and blood mercury concentrations, but frequency of consuming certain seafood types had significant positive association with blood mercury concentrations: high-mercury fish (swordfish and shark) [exponentiated beta coefficient (expbeta): 2.40; 95% CI: 1.23, 4.68]; salmon (expbeta: 1.41; 95% CI: 1.26, 1.55); tuna (expbeta: 1.38; 95% CI: 1.29, 1.45); crabs (expbeta: 1.35; 95% CI: 1.17, 1.55); shrimp (expbeta: 1.12; 95% CI: 1.05, 1.20), and all other seafood (expbeta: 1.23; 95% CI: 1.17, 1.32). Age-stratified log-linear regression analyses produced similar results. CONCLUSION: Few US youth have blood mercury concentrations ≥5.8 mug/L, although more than half of US youth consumed seafood in the past month. |
Seafood consumption and blood mercury concentrations in adults aged ≥20y, 2007-2010
Nielsen SJ , Kit BK , Aoki Y , Ogden CL . Am J Clin Nutr 2014 99 (5) 1066-70 BACKGROUND: Seafood is part of a healthy diet, but seafood can also contain methyl mercury-a neurotoxin. OBJECTIVE: The objective was to describe seafood consumption in US adults and to explore the relation between seafood consumption and blood mercury. DESIGN: Seafood consumption, obtained from a food-frequency questionnaire, and blood mercury data were available for 10,673 adults who participated in the 2007-2010 NHANES-a cross-sectional nationally representative sample of the US population. Seafood consumption was categorized by type (fish or shellfish) and by frequency of consumption (0, 1-2, 3-4, or ≥5 times/mo). Linear trends in geometric mean blood mercury concentrations by frequency of seafood consumption were tested. Logistic regression analyses examined the odds of blood mercury concentrations ≥5.8 mug/L (as identified by the National Research Council) based on frequency of the specific type of seafood consumed (included in the model as a continuous variables) adjusted for sex, age, and race/Hispanic origin. RESULTS: In 2007-2010, 83.0% +/- 0.7% (+/-SE) of adults consumed seafood in the preceding month. In adults consuming seafood, the blood mercury concentration increased as the frequency of seafood consumption increased (P < 0.001). In 2007-2010, 4.6% +/- 0.39% of adults had blood mercury concentrations ≥5.8 mug/L. Results of the logistic regression on blood mercury concentrations ≥5.8 mug/L showed no association with shrimp (P = 0.21) or crab (P = 0.48) consumption and a highly significant positive association with consumption of high-mercury fish (adjusted OR per unit monthly consumption: 4.58; 95% CI: 2.44, 8.62; P < 0.001), tuna (adjusted OR: 1.14; 95% CI: 1.10, 1.17; P < 0.001), salmon (adjusted OR: 1.14; 95% CI: 1.09, 1.20; P < 0.001), and other seafood (adjusted OR: 1.12; 95% CI: 1.08, 1.15; P < 0.001). CONCLUSION: Most US adults consume seafood, and the blood mercury concentration is associated with the consumption of tuna, salmon, high-mercury fish, and other seafood. |
Towards an integrated human adenovirus designation system that utilizes molecular and serological data and serves both clinical and fundamental virology
Aoki K , Benko M , Davison AJ , De Jong JC , Echavarria M , Erdman DD , Harrach B , Kajon AE , Schnurr D , Wadell G . J Virol 2011 85 (11) 5703-4 The following proposals contribute towards elaborating a robust system for designating human adenovirus (HAdV) types.... |
An internet-accessible DNA sequence database for identifying fusaria from human and animal infections
O'Donnell K , Sutton DA , Rinaldi MG , Sarver BA , Balajee SA , Schroers HJ , Summerbell RC , Robert VA , Crous PW , Zhang N , Aoki T , Jung K , Park J , Lee YH , Kang S , Park B , Geiser DM . J Clin Microbiol 2010 48 (10) 3708-18 Because less than one-third of clinically relevant fusaria can be accurately identified to species level using phenotypic data (i.e., morphological species recognition), we constructed a three-locus DNA sequence database to facilitate molecular identification of the 69 Fusarium species associated with human or animal mycoses encountered in clinical microbiology laboratories. The database comprises partial sequences from three nuclear genes: translation elongation factor 1alpha (EF-1alpha), the largest subunit of RNA polymerase (RPB1), and the second largest subunit of RNA polymerase (RPB2). These three gene fragments can be amplified by PCR and sequenced using primers that are conserved across the phylogenetic breadth of Fusarium. Phylogenetic analyses of the combined dataset reveal that, with the exception of two monotypic lineages, all clinically relevant fusaria are nested in one of eight variously sized and strongly supported species complexes. The monophyletic lineages have been named informally to facilitate communication of an isolate's clade membership and genetic diversity. To identify isolates to species included within the database, partial DNA sequence data from one or more of the three genes can be used as a BLAST query against the database which is web-accessible at FUSARIUM-ID (http://isolate.fusariumdb.org) and the Centraalbureau voor Schimmelcultures (CBS-KNAW) Fungal Biodiversity Center (http://www.cbs.knaw.nl/fusarium). Alternatively, isolates can be identified via phylogenetic analysis by adding sequences of unknowns to the DNA sequence alignment, which can be downloaded from the two aforementioned websites. The utility of this database should increase significantly as members of the clinical microbiology community deposit cultures of novel mycosis-associated fusaria in internationally accessible culture collections (e.g., CBS-KNAW or the Fusarium Research Center), along with associated, corrected sequence chromatograms and data, so that the sequence results can be verified and isolates are made available for future study. |
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