Last data update: Jan 13, 2025. (Total: 48570 publications since 2009)
Records 1-9 (of 9 Records) |
Query Trace: Stierman B[original query] |
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Federal housing assistance and chronic disease among US adults, 2005-2018
Kim C , Rossen LM , Stierman B , Garrison V , Hales CM , Ogden CL . Prev Chronic Dis 2023 20 E111 INTRODUCTION: Housing insecurity is associated with poor health outcomes. Characterization of chronic disease outcomes among adults with and without housing assistance would enable housing programs to better understand their population's health care needs. METHODS: We used National Health and Nutrition Examination Survey (NHANES) data from 2005 through 2018 linked to US Department of Housing and Urban Development (HUD) administrative records to estimate the prevalence of obesity, diabetes, and hypertension and to assess the independent associations between housing assistance and chronic conditions among adults receiving HUD assistance and HUD-assistance-eligible adults not receiving HUD assistance at the time of their NHANES examination. We estimated propensity scores to adjust for potential confounders among linkage-eligible adults who had an income-to-poverty ratio less than 2 and were not receiving HUD assistance. Sensitivity analysis used 2013-2018 NHANES cycles to account for disability status. RESULTS: Adults not receiving HUD assistance had a significantly lower adjusted prevalence of obesity (42.1%; 95% CI, 40.4%-43.8%) compared with adults receiving HUD assistance (47.5%; 95% CI, 44.8%-50.3%), but we found no differences for diabetes and hypertension. We found significant associations between housing assistance and obesity (adjusted odds ratio = 1.29; 95% CI, 1.12-1.47), but these were not significant in the sensitivity analysis with and without controlling for disability status. We found no significant associations between housing assistance and diabetes or hypertension. CONCLUSION: Based on data from a cross-sectional survey, we observed a higher prevalence of obesity among adults with HUD assistance compared with HUD-assistance-eligible adults without HUD assistance. Results from this study can help inform research on understanding the prevalence of chronic disease among adults with HUD assistance. |
Enhanced Contact Investigations for Nine Early Travel-Related Cases of SARS-CoV-2 in the United States (preprint)
Burke RM , Balter S , Barnes E , Barry V , Bartlett K , Beer KD , Benowitz I , Biggs HM , Bruce H , Bryant-Genevier J , Cates J , Chatham-Stephens K , Chea N , Chiou H , Christiansen D , Chu VT , Clark S , Cody SH , Cohen M , Conners EE , Dasari V , Dawson P , DeSalvo T , Donahue M , Dratch A , Duca L , Duchin J , Dyal JW , Feldstein LR , Fenstersheib M , Fischer M , Fisher R , Foo C , Freeman-Ponder B , Fry AM , Gant J , Gautom R , Ghinai I , Gounder P , Grigg CT , Gunzenhauser J , Hall AJ , Han GS , Haupt T , Holshue M , Hunter J , Ibrahim MB , Jacobs MW , Jarashow MC , Joshi K , Kamali T , Kawakami V , Kim M , Kirking HL , Kita-Yarbro A , Klos R , Kobayashi M , Kocharian A , Lang M , Layden J , Leidman E , Lindquist S , Lindstrom S , Link-Gelles R , Marlow M , Mattison CP , McClung N , McPherson TD , Mello L , Midgley CM , Novosad S , Patel MT , Pettrone K , Pillai SK , Pray IW , Reese HE , Rhodes H , Robinson S , Rolfes M , Routh J , Rubin R , Rudman SL , Russell D , Scott S , Shetty V , Smith-Jeffcoat SE , Soda EA , Spitters C , Stierman B , Sunenshine R , Terashita D , Traub E , Vahey GM , Verani JR , Wallace M , Westercamp M , Wortham J , Xie A , Yousaf A , Zahn M . medRxiv 2020 2020.04.27.20081901 Background Coronavirus disease 2019 (COVID-19), the respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and has since become pandemic. As part of initial response activities in the United States, enhanced contact investigations were conducted to enable early identification and isolation of additional cases and to learn more about risk factors for transmission.Methods Close contacts of nine early travel-related cases in the United States were identified. Close contacts meeting criteria for active monitoring were followed, and selected individuals were targeted for collection of additional exposure details and respiratory samples. Respiratory samples were tested for SARS-CoV-2 by real-time reverse transcription polymerase chain reaction (RT-PCR) at the Centers for Disease Control and Prevention.Results There were 404 close contacts who underwent active monitoring in the response jurisdictions; 338 had at least basic exposure data, of whom 159 had ≥1 set of respiratory samples collected and tested. Across all known close contacts under monitoring, two additional cases were identified; both secondary cases were in spouses of travel-associated case patients. The secondary attack rate among household members, all of whom had ≥1 respiratory sample tested, was 13% (95% CI: 4 – 38%).Conclusions The enhanced contact tracing investigations undertaken around nine early travel-related cases of COVID-19 in the United States identified two cases of secondary transmission, both spouses. Rapid detection and isolation of the travel-associated case patients, enabled by public awareness of COVID-19 among travelers from China, may have mitigated transmission risk among close contacts of these cases.Competing Interest StatementThe authors have declared no competing interest.Funding StatementNo external funding was sought or received.Author DeclarationsAll relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript.YesAll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesData may be available upon reasonable request. |
Body fat differences among US youth aged 8-19 by race and Hispanic origin, 2011-2018
Martin CB , Stierman B , Yanovski JA , Hales CM , Sarafrazi N , Ogden CL . Pediatr Obes 2022 17 (7) e12898 BACKGROUND: The association between body mass index (BMI) and adiposity differs by race/ethnicity. OBJECTIVE: To examine differences in adiposity by race/Hispanic origin among US youth and explore how those differences relate to differences in BMI using the most recent national data, including non-Hispanic Asian youth. METHODS: Weight, height and DXA-derived fat mass index (FMI) and percentage body fat (%BF) from 6923 youth 8-19years in the National Health and Nutrition Examination Survey (NHANES) 2011-2018 were examined. Age-adjusted mean BMI, FMI and %BF were reported. Sex-specific linear regression models predicting %BF and FMI were adjusted for age, BMI category and BMI category*race/Hispanic origin interaction. RESULTS: %BF was highest among Hispanic males (28.2%) and females (35.7%). %BF was lower among non-Hispanic Black (23.9%) compared with non-Hispanic White (26.0%) and non-Hispanic Asian (26.6%) males. There was no difference between non-Hispanic Black females (32.7%) and non-Hispanic White (33.2%) or non-Hispanic Asian (32.7%) females. FMI was higher among Hispanic youth compared with non-Hispanic White youth. Among youth with underweight/healthy weight, predicted %BF and FMI were lower among non-Hispanic Black males (-2.8%; -0.5) and females (-2.0%; -0.3), compared with non-Hispanic White youth, and higher among Hispanic males (0.9%; 0.2) and females (2.0%; 0.5), while %BF but not FMI was higher among non-Hispanic Asian males (1.3%) and females (1.4%). Among females with obesity, non-Hispanic Asian females had lower %BF (-2.3%) and FMI (-1.7) than non-Hispanic White females. CONCLUSIONS: Differences in %BF and FMI by race/Hispanic origin were not consistent by BMI category among US youth in 2011-2018. |
Racial and Ethnic Disparities in Multisystem Inflammatory Syndrome in Children in the United States, March 2020 to February 2021.
Stierman B , Abrams JY , Godfred-Cato SE , Oster ME , Meng L , Yip L , Patel P , Balachandran N , Prezzato E , Pierce T , Hsu KK , Burns M , Peterson Pompa X , Lauro P , Hartley A , Jones C , Gretsch S , Reid H , Lim S , Campbell AP , Belay ED . Pediatr Infect Dis J 2021 40 (11) e400-e406 BACKGROUND: The incidence of multisystem inflammatory syndrome in children (MIS-C) varies by race and ethnicity. This study assessed whether disparities in MIS-C in the United States by race and ethnicity exceed known disparities in coronavirus disease 2019 (COVID-19) incidence. METHODS: We compared the distribution of race and ethnicity among patients with MIS-C (aged <21 years, termed children) with onset March 2020 to February 2021 to that of children with COVID-19 and in the general population. Analysis was restricted to 369 counties with high completeness of race and ethnicity reporting for MIS-C and COVID-19. For each racial and ethnic group, observed numbers of patients with MIS-C were compared with expected numbers (observed/expected ratio) in children with COVID-19 and in the general population within these counties. RESULTS: Compared with children in the general population, MIS-C was more frequent among Hispanic (139% of expected) and non-Hispanic Black children (183%) and less frequent among non-Hispanic White (64%) and non-Hispanic Asian children (48%). Compared with children with COVID-19, MIS-C was more frequent in non-Hispanic Black children (207% of expected) and less frequent in non-Hispanic White children (68%); however, frequency was not different among Hispanic (102%) and non-Hispanic Asian (74%) children. CONCLUSIONS: Disparities in MIS-C by race and ethnicity exist, even after controlling for COVID-19 disparities and geographic variations. The high proportion of MIS-C among Hispanic children and low proportion among non-Hispanic Asian children align with COVID-19 rates, while the high proportion among non-Hispanic Black children and low proportion among non-Hispanic White children are not explainable by COVID-19 rates. |
Changes in adiposity among children and adolescents in the United States, 1999-2006 to 2011-2018
Stierman B , Ogden CL , Yanovski JA , Martin CB , Sarafrazi N , Hales CM . Am J Clin Nutr 2021 114 (4) 1495-1504 BACKGROUND: Data from the NHANES indicate that BMI has increased in some subgroups of children and adolescents in the United States over the past 20 y; however, BMI is an indirect measure of body fatness. OBJECTIVES: We assessed changes in DXA-derived measures of adiposity in a nationally representative population of US children and adolescents aged 8-19 y from 1999-2006 to 2011-2018. METHODS: Using data from the NHANES, we compared the means and distributions of DXA-derived percentage body fat (%BF) and fat mass index (FMI; fat mass/height2 in kg/m2) between 1999-2006 (n = 10,231) and 2011-2018 (n = 6923) among males and females by age group, race and Hispanic origin, and BMI categories. Estimates were standardized by age and race and Hispanic origin. RESULTS: From 1999-2006 to 2011-2018, mean %BF increased from 25.6% to 26.3% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P < 0.01) among all males, whereas mean %BF increased from 33.0% to 33.7% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P = 0.01) and mean FMI increased from 7.7 to 8.0 fat mass kg/m2 (change in FMI: 0.3 fat mass kg/m2; 95% CI: 0.0, 0.6 fat mass kg/m2; P = 0.02) among all females. Changes were not consistent across all age, race and Hispanic origin, and BMI categories. Both %BF and FMI increased among Mexican-American children and adolescents, but not other race and Hispanic origin groups. CONCLUSIONS: Among US children and adolescents, DXA-derived measures of adiposity increased from 1999-2006 to 2011-2018, albeit not consistently in every age, race and Hispanic origin, and BMI subgroup. These data reinforce the need to consider other measures, besides BMI categories, when studying adiposity in children and adolescents. |
Trends in Geographic and Temporal Distribution of US Children With Multisystem Inflammatory Syndrome During the COVID-19 Pandemic.
Belay ED , Abrams J , Oster ME , Giovanni J , Pierce T , Meng L , Prezzato E , Balachandran N , Openshaw JJ , Rosen HE , Kim M , Richardson G , Hand J , Tobin-D'Angelo M , Wilson S , Hartley A , Jones C , Kolsin J , Mohamed H , Colles Z , Hammett T , Patel P , Stierman B , Campbell AP , Godfred-Cato S . JAMA Pediatr 2021 175 (8) 837-845 IMPORTANCE: Multiple inflammatory syndrome in children (MIS-C) occurs in association with the COVID-19 pandemic. OBJECTIVE: To describe the clinical characteristics and geographic and temporal distribution of the largest cohort of patients with MIS-C in the United States to date. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional analysis was conducted on clinical and laboratory data collected from patients with MIS-C. The analysis included patients with illness onset from March 2020 to January 2021 and met MIS-C case definition. MAIN OUTCOMES AND MEASURES: Geographic and temporal distribution of MIS-C was compared with that of COVID-19 nationally, by region, and level of urbanicity by county. Clinical and laboratory findings and changes over time were described by age group and by presence or absence of preceding COVID-19. RESULTS: A total of 1733 patients with MIS-C were identified; 994 (57.6%) were male and 1117 (71.3%) were Hispanic or non-Hispanic Black. Gastrointestinal symptoms, rash, and conjunctival hyperemia were reported by 53% (n = 931) to 67% (n = 1153) of patients. A total of 937 patients (54%) had hypotension or shock, and 1009 (58.2%) were admitted for intensive care. Cardiac dysfunction was reported in 484 patients (31.0%), pericardial effusion in 365 (23.4%), myocarditis in 300 (17.3%), and coronary artery dilatation or aneurysms in 258 (16.5%). Patients aged 0 to 4 years had the lowest proportion of severe manifestations, although 171 patients (38.4%) had hypotension or shock and 197 (44.3%) were admitted for intensive care. Patients aged 18 to 20 years had the highest proportions with myocarditis (17 [30.9%]), pneumonia (20 [36.4%]), acute respiratory distress syndrome (10 [18.2%]), and polymerase chain reaction positivity (39 [70.9%]). These older adolescents also had the highest proportion reporting preceding COVID-19-like illness (63%). Nationally, the first 2 MIS-C peaks followed the COVID-19 peaks by 2 to 5 weeks. The cumulative MIS-C incidence per 100 000 persons younger than 21 years was 2.1 and varied from 0.2 to 6.3 by state. Twenty-four patients (1.4%) died. CONCLUSIONS AND RELEVANCE: In this cross-sectional study of a large cohort of patients with MIS-C, 2 peaks that followed COVID-19 peaks by 2 to 5 weeks were identified. The geographic and temporal association of MIS-C with the COVID-19 pandemic suggested that MIS-C resulted from delayed immunologic responses to SARS-CoV-2 infection. The clinical manifestations varied by age and by presence or absence of preceding COVID-19. |
Dietary supplement use in children and adolescents aged 19 years - United States, 2017-2018
Stierman B , Mishra S , Gahche JJ , Potischman N , Hales CM . MMWR Morb Mortal Wkly Rep 2020 69 (43) 1557-1562 Dietary supplement use is common among children and adolescents. During 2013-2014, approximately one third of children and adolescents (persons aged ≤19 years) in the United States were reported to use a dietary supplement in the past 30 days, and use varied by demographic characteristics (1,2). Dietary supplements can contribute substantially to overall nutrient intake, having the potential to both mitigate nutrient shortfalls as well as to lead to nutrient intake above recommended upper limits (3). However, because nutritional needs should generally be met through food consumption according to the 2015-2020 Dietary Guidelines for Americans, only a few dietary supplements are specifically recommended for use among children and adolescents and only under particular conditions (4). The most recently released data from the National Health and Nutrition Examination Survey (NHANES) during 2017-2018 were used to estimate the prevalence of use among U.S. children and adolescents of any dietary supplement, two or more dietary supplements, and specific dietary supplement product types. Trends were calculated for dietary supplement use from 2009-2010 to 2017-2018. During 2017-2018, 34.0% of children and adolescents used any dietary supplement in the past 30 days, with no significant change since 2009-2010. Use of two or more dietary supplements increased from 4.3% during 2009-2010 to 7.1% during 2017-2018. Multivitamin-mineral products were used by 23.8% of children and adolescents, making these the products most commonly used. Because dietary supplement use is common, surveillance of dietary supplement use, combined with nutrient intake from diet, will remain an important component of monitoring nutritional intake in children and adolescents to inform clinical practice and dietary recommendations. |
Enhanced contact investigations for nine early travel-related cases of SARS-CoV-2 in the United States.
Burke RM , Balter S , Barnes E , Barry V , Bartlett K , Beer KD , Benowitz I , Biggs HM , Bruce H , Bryant-Genevier J , Cates J , Chatham-Stephens K , Chea N , Chiou H , Christiansen D , Chu VT , Clark S , Cody SH , Cohen M , Conners EE , Dasari V , Dawson P , DeSalvo T , Donahue M , Dratch A , Duca L , Duchin J , Dyal JW , Feldstein LR , Fenstersheib M , Fischer M , Fisher R , Foo C , Freeman-Ponder B , Fry AM , Gant J , Gautom R , Ghinai I , Gounder P , Grigg CT , Gunzenhauser J , Hall AJ , Han GS , Haupt T , Holshue M , Hunter J , Ibrahim MB , Jacobs MW , Jarashow MC , Joshi K , Kamali T , Kawakami V , Kim M , Kirking HL , Kita-Yarbro A , Klos R , Kobayashi M , Kocharian A , Lang M , Layden J , Leidman E , Lindquist S , Lindstrom S , Link-Gelles R , Marlow M , Mattison CP , McClung N , McPherson TD , Mello L , Midgley CM , Novosad S , Patel MT , Pettrone K , Pillai SK , Pray IW , Reese HE , Rhodes H , Robinson S , Rolfes M , Routh J , Rubin R , Rudman SL , Russell D , Scott S , Shetty V , Smith-Jeffcoat SE , Soda EA , Spitters C , Stierman B , Sunenshine R , Terashita D , Traub E , Vahey GM , Verani JR , Wallace M , Westercamp M , Wortham J , Xie A , Yousaf A , Zahn M . PLoS One 2020 15 (9) e0238342 Coronavirus disease 2019 (COVID-19), the respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and has since become pandemic. In response to the first cases identified in the United States, close contacts of confirmed COVID-19 cases were investigated to enable early identification and isolation of additional cases and to learn more about risk factors for transmission. Close contacts of nine early travel-related cases in the United States were identified and monitored daily for development of symptoms (active monitoring). Selected close contacts (including those with exposures categorized as higher risk) were targeted for collection of additional exposure information and respiratory samples. Respiratory samples were tested for SARS-CoV-2 by real-time reverse transcription polymerase chain reaction at the Centers for Disease Control and Prevention. Four hundred four close contacts were actively monitored in the jurisdictions that managed the travel-related cases. Three hundred thirty-eight of the 404 close contacts provided at least basic exposure information, of whom 159 close contacts had ≥1 set of respiratory samples collected and tested. Across all actively monitored close contacts, two additional symptomatic COVID-19 cases (i.e., secondary cases) were identified; both secondary cases were in spouses of travel-associated case patients. When considering only household members, all of whom had ≥1 respiratory sample tested for SARS-CoV-2, the secondary attack rate (i.e., the number of secondary cases as a proportion of total close contacts) was 13% (95% CI: 4-38%). The results from these contact tracing investigations suggest that household members, especially significant others, of COVID-19 cases are at highest risk of becoming infected. The importance of personal protective equipment for healthcare workers is also underlined. Isolation of persons with COVID-19, in combination with quarantine of exposed close contacts and practice of everyday preventive behaviors, is important to mitigate spread of COVID-19. |
Clinical and virologic characteristics of the first 12 patients with coronavirus disease 2019 (COVID-19) in the United States.
Kujawski SA , Wong KK , Collins JP , Epstein L , Killerby ME , Midgley CM , Abedi GR , Ahmed NS , Almendares O , Alvarez FN , Anderson KN , Balter S , Barry V , Bartlett K , Beer K , Ben-Aderet MA , Benowitz I , Biggs HM , Binder AM , Black SR , Bonin B , Bozio CH , Brown CM , Bruce H , Bryant-Genevier J , Budd A , Buell D , Bystritsky R , Cates J , Charles EM , Chatham-Stephens K , Chea N , Chiou H , Christiansen D , Chu V , Cody S , Cohen M , Conners EE , Curns AT , Dasari V , Dawson P , DeSalvo T , Diaz G , Donahue M , Donovan S , Duca LM , Erickson K , Esona MD , Evans S , Falk J , Feldstein LR , Fenstersheib M , Fischer M , Fisher R , Foo C , Fricchione MJ , Friedman O , Fry A , Galang RR , Garcia MM , Gerber SI , Gerrard G , Ghinai I , Gounder P , Grein J , Grigg C , Gunzenhauser JD , Gutkin GI , Haddix M , Hall AJ , Han GS , Harcourt J , Harriman K , Haupt T , Haynes AK , Holshue M , Hoover C , Hunter JC , Jacobs MW , Jarashow C , Joshi K , Kamali T , Kamili S , Kim L , Kim M , King J , Kirking HL , Kita-Yarbro A , Klos R , Kobayashi M , Kocharian A , Komatsu KK , Koppaka R , Layden JE , Li Y , Lindquist S , Lindstrom S , Link-Gelles R , Lively J , Livingston M , Lo K , Lo J , Lu X , Lynch B , Madoff L , Malapati L , Marks G , Marlow M , Mathisen GE , McClung N , McGovern O , McPherson TD , Mehta M , Meier A , Mello L , Moon SS , Morgan M , Moro RN , Murray J , Murthy R , Novosad S , Oliver SE , O’Shea J , Pacilli M , Paden CR , Pallansch MA , Patel M , Patel S , Pedraza I , Pillai SK , Pindyck T , Pray I , Queen K , Quick N , Reese H , Reporter R , Rha B , Rhodes H , Robinson S , Robinson P , Rolfes MA , Routh JA , Rubin R , Rudman SL , Sakthivel SK , Scott S , Shepherd C , Shetty V , Smith EA , Smith S , Stierman B , Stoecker W , Sunenshine R , Sy-Santos R , Tamin A , Tao Y , Terashita D , Thornburg NJ , Tong S , Traub E , Tural A , Uehara A , Uyeki TM , Vahey G , Verani JR , Villarino E , Wallace M , Wang L , Watson JT , Westercamp M , Whitaker B , Wilkerson S , Woodruff RC , Wortham JM , Wu T , Xie A , Yousaf A , Zahn M , Zhang J . Nat Med 2020 26 (6) 861-868 Data on the detailed clinical progression of COVID-19 in conjunction with epidemiological and virological characteristics are limited. In this case series, we describe the first 12 US patients confirmed to have COVID-19 from 20 January to 5 February 2020, including 4 patients described previously(1-3). Respiratory, stool, serum and urine specimens were submitted for SARS-CoV-2 real-time reverse-transcription polymerase chain reaction (rRT-PCR) testing, viral culture and whole genome sequencing. Median age was 53 years (range: 21-68); 8 patients were male. Common symptoms at illness onset were cough (n = 8) and fever (n = 7). Patients had mild to moderately severe illness; seven were hospitalized and demonstrated clinical or laboratory signs of worsening during the second week of illness. No patients required mechanical ventilation and all recovered. All had SARS-CoV-2 RNA detected in respiratory specimens, typically for 2-3 weeks after illness onset. Lowest real-time PCR with reverse transcription cycle threshold values in the upper respiratory tract were often detected in the first week and SARS-CoV-2 was cultured from early respiratory specimens. These data provide insight into the natural history of SARS-CoV-2. Although infectiousness is unclear, highest viral RNA levels were identified in the first week of illness. Clinicians should anticipate that some patients may worsen in the second week of illness. |
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