Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
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Query Trace: Farrall S[original query] |
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Demographic and Social Factors Associated with COVID-19 Vaccination Initiation Among Adults Aged ≥65 Years - United States, December 14, 2020-April 10, 2021.
Whiteman A , Wang A , McCain K , Gunnels B , Toblin R , Lee JT , Bridges C , Reynolds L , Murthy BP , Qualters J , Singleton JA , Fox K , Stokley S , Harris L , Gibbs-Scharf L , Abad N , Brookmeyer KA , Farrall S , Pingali C , Patel A , Link-Gelles R , Dasgupta S , Gharpure R , Ritchey MD , Barbour KE . MMWR Morb Mortal Wkly Rep 2021 70 (19) 725-730 Compared with other age groups, older adults (defined here as persons aged ≥65 years) are at higher risk for COVID-19-associated morbidity and mortality and have therefore been prioritized for COVID-19 vaccination (1,2). Ensuring access to vaccines for older adults has been a focus of federal, state, and local response efforts, and CDC has been monitoring vaccination coverage to identify and address disparities among subpopulations of older adults (2). Vaccine administration data submitted to CDC were analyzed to determine the prevalence of COVID-19 vaccination initiation among adults aged ≥65 years by demographic characteristics and overall. Characteristics of counties with low vaccination initiation rates were quantified using indicators of social vulnerability data from the 2019 American Community Survey.* During December 14, 2020-April 10, 2021, nationwide, a total of 42,736,710 (79.1%) older adults had initiated vaccination. The initiation rate was higher among men than among women and varied by state. On average, counties with low vaccination initiation rates (<50% of older adults having received at least 1 vaccine dose), compared with those with high rates (≥75%), had higher percentages of older adults without a computer, living in poverty, without Internet access, and living alone. CDC, state, and local jurisdictions in partnerships with communities should continue to identify and implement strategies to improve access to COVID-19 vaccination for older adults, such as assistance with scheduling vaccination appointments and transportation to vaccination sites, or vaccination at home if needed for persons who are homebound.(†) Monitoring demographic and social factors affecting COVID-19 vaccine access for older adults and prioritizing efforts to ensure equitable access to COVID-19 vaccine are needed to ensure high coverage among this group. |
CDC Deployments to State, Tribal, Local, and Territorial Health Departments for COVID-19 Emergency Public Health Response - United States, January 21-July 25, 2020.
Dirlikov E , Fechter-Leggett E , Thorne SL , Worrell CM , Smith-Grant JC , Chang J , Oster AM , Bjork A , Young S , Perez AU , Aden T , Anderson M , Farrall S , Jones-Wormley J , Walters KH , LeBlanc TT , Kone RG , Hunter D , Cooley LA , Krishnasamy V , Fuld J , Luna-Pinto C , Williams T , O'Connor A , Nett RJ , Villanueva J , Oussayef NL , Walke HT , Shugart JM , Honein MA , Rose DA . MMWR Morb Mortal Wkly Rep 2020 69 (39) 1398-1403 Coronavirus disease 2019 (COVID-19) is a viral respiratory illness caused by SARS-CoV-2. During January 21-July 25, 2020, in response to official requests for assistance with COVID-19 emergency public health response activities, CDC deployed 208 teams to assist 55 state, tribal, local, and territorial health departments. CDC deployment data were analyzed to summarize activities by deployed CDC teams in assisting state, tribal, local, and territorial health departments to identify and implement measures to contain SARS-CoV-2 transmission (1). Deployed teams assisted with the investigation of transmission in high-risk congregate settings, such as long-term care facilities (53 deployments; 26% of total), food processing facilities (24; 12%), correctional facilities (12; 6%), and settings that provide services to persons experiencing homelessness (10; 5%). Among the 208 deployed teams, 178 (85%) provided assistance to state health departments, 12 (6%) to tribal health departments, 10 (5%) to local health departments, and eight (4%) to territorial health departments. CDC collaborations with health departments have strengthened local capacity and provided outbreak response support. Collaborations focused attention on health equity issues among disproportionately affected populations (e.g., racial and ethnic minority populations, essential frontline workers, and persons experiencing homelessness) and through a place-based focus (e.g., persons living in rural or frontier areas). These collaborations also facilitated enhanced characterization of COVID-19 epidemiology, directly contributing to CDC data-informed guidance, including guidance for serial testing as a containment strategy in high-risk congregate settings, targeted interventions and prevention efforts among workers at food processing facilities, and social distancing. |
Racial and ethnic disparities in vaccination coverage among adult populations in the U.S
Lu PJ , O'Halloran A , Williams WW , Lindley MC , Farrall S , Bridges CB . Am J Prev Med 2015 49 S412-25 INTRODUCTION: Reducing racial/ethnic disparities in immunization rates is a compelling public health goal. Disparities in childhood vaccination rates have not been observed in recent years for most vaccines. The objective of this study is to assess adult vaccination by race/ethnicity in the U.S. METHODS: The 2012 National Health Interview Survey was analyzed in 2014 to assess adult vaccination by race/ethnicity for five vaccines routinely recommended for adults: influenza, tetanus, pneumococcal (two vaccines), human papilloma virus, and zoster vaccines. Multivariable logistic regression analysis was performed to identify factors independently associated with all adult vaccinations. RESULTS: Vaccination coverage was significantly lower among non-Hispanic blacks, Hispanics, and non-Hispanic Asians compared with non-Hispanic whites, with only a few exceptions. Age, sex, education, health insurance, usual place of care, number of physician visits in the past 12 months, and health insurance were independently associated with receipt of most of the examined vaccines. Racial/ethnic differences narrowed, but gaps remained after taking these factors into account. CONCLUSIONS: Racial and ethnic differences in vaccination levels narrow when adjusting for socioeconomic factors analyzed in this survey, but are not eliminated, suggesting that other factors that are associated with vaccination disparities are not measured by the National Health Interview Survey and could also contribute to the differences in coverage. Additional efforts, including systems changes to ensure routine assessment and recommendations for needed vaccinations among adults for all racial/ethnic groups, are essential for improving vaccine coverage. |
Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data.
Holmes MV , Dale CE , Zuccolo L , Silverwood RJ , Guo Y , Ye Z , Prieto-Merino D , Dehghan A , Trompet S , Wong A , Cavadino A , Drogan D , Padmanabhan S , Li S , Yesupriya A , Leusink M , Sundstrom J , Hubacek JA , Pikhart H , Swerdlow DI , Panayiotou AG , Borinskaya SA , Finan C , Shah S , Kuchenbaecker KB , Shah T , Engmann J , Folkersen L , Eriksson P , Ricceri F , Melander O , Sacerdote C , Gamble DM , Rayaprolu S , Ross OA , McLachlan S , Vikhireva O , Sluijs I , Scott RA , Adamkova V , Flicker L , Bockxmeer FM , Power C , Marques-Vidal P , Meade T , Marmot MG , Ferro JM , Paulos-Pinheiro S , Humphries SE , Talmud PJ , Mateo Leach I , Verweij N , Linneberg A , Skaaby T , Doevendans PA , Cramer MJ , Harst Pv , Klungel OH , Dowling NF , Dominiczak AF , Kumari M , Nicolaides AN , Weikert C , Boeing H , Ebrahim S , Gaunt TR , Price JF , Lannfelt L , Peasey A , Kubinova R , Pajak A , Malyutina S , Voevoda MI , Tamosiunas A , Maitland-van der Zee AH , Norman PE , Hankey GJ , Bergmann MM , Hofman A , Franco OH , Cooper J , Palmen J , Spiering W , Jong PA , Kuh D , Hardy R , Uitterlinden AG , Ikram MA , Ford I , Hypponen E , Almeida OP , Wareham NJ , Khaw KT , Hamsten A , Husemoen LL , Tjonneland A , Tolstrup JS , Rimm E , Beulens JW , Verschuren WM , Onland-Moret NC , Hofker MH , Wannamethee SG , Whincup PH , Morris R , Vicente AM , Watkins H , Farrall M , Jukema JW , Meschia J , Cupples LA , Sharp SJ , Fornage M , Kooperberg C , LaCroix AZ , Dai JY , Lanktree MB , Siscovick DS , Jorgenson E , Spring B , Coresh J , Li YR , Buxbaum SG , Schreiner PJ , Ellison RC , Tsai MY , Patel SR , Redline S , Johnson AD , Hoogeveen RC , Hakonarson H , Rotter JI , Boerwinkle E , Bakker PI , Kivimaki M , Asselbergs FW , Sattar N , Lawlor DA , Whittaker J , Davey Smith G , Mukamal K , Psaty BM , Wilson JG , Lange LA , Hamidovic A , Hingorani AD , Nordestgaard BG , Bobak M , Leon DA , Langenberg C , Palmer TM , Reiner AP , Keating BJ , Dudbridge F , Casas JP . BMJ 2014 349 g4164 ![]() OBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease. DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies. PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers. MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption. RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)). CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health. |
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- Page last updated:Jan 27, 2025
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