NCHS data brief最新文献

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Emergency Department Visits for Tooth Disorders: United States, 2020–2022 数据简报。
NCHS data brief Pub Date : 2025-06-01 DOI: 10.15620/cdc/174597
Susan M Schappert, Loredana Santo
{"title":"Emergency Department Visits for Tooth Disorders: United States, 2020–2022","authors":"Susan M Schappert, Loredana Santo","doi":"10.15620/cdc/174597","DOIUrl":"10.15620/cdc/174597","url":null,"abstract":"<p><strong>Introduction: </strong>On average, more than $45 billion in U.S. productivity is lost each year due to untreated dental disease. Oral disease can cause pain and infections, which lead to unplanned visits for emergency care, especially among those who do not have access to routine dental care. This report uses data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) to study emergency department (ED) visits with either a reason for visit or diagnosis of a tooth disorder in 2020-2022.</p><p><strong>Methods: </strong>Data in this report are from NHAMCS, a nationally representative annual survey of nonfederal general and short-stay hospitals. Results are presented from 2020 through 2022. Estimates and their corresponding variances were calculated using SAS-callable SUDAAN. Differences between percentages were evaluated using two-sided significance  <i>t</i>  tests at the 0.05 level. Linear regression was used to test the significance of slope.</p><p><strong>Key findings: </strong>Tooth disorders accounted for an annual average of 1,944,000 ED visits during 2020-2022. The largest percentage of ED visits for tooth disorders was made by adults ages 25-34 (29.2%). White non-Hispanic people accounted for the largest percentage of ED visits for tooth disorders (52.7%), followed by Black non-Hispanic people (31.9%), and Hispanic people (14.5%). The majority of visits for tooth disorders had Medicaid as the primary expected source of payment (55.4%). Opioids as the sole pain relief drug given or prescribed at ED visits for tooth disorders decreased from 38.1% in 2014-2016 to 16.5% in 2020-2022. Visits with only nonopioid analgesics increased from 20.0% in 2014-2016 to 38.4% in 2020-2022.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 531","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12278377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144477192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Discussion. 讨论。
NCHS data brief Pub Date : 2025-04-01
Guangyu Zhang, Yulei He, Anna Oganian, Bill Cai
{"title":"Discussion.","authors":"Guangyu Zhang, Yulei He, Anna Oganian, Bill Cai","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Synthetic data has been gaining popularity in many fields as an approach to retain data utility (the validity of inference using synthetic data) and protect confidentiality. However, creating synthetic data for complex surveys remains a challenge.</p><p><strong>Methods: </strong>This research compared three approaches to incorporate survey design information (stratification, clustering, and sampling weights) during the synthetic data-generating process using the Research and Development Survey (RANDS), a series of primarily web surveys conducted by the National Center for Health Statistics, Centers for Disease Control and Prevention. Both parametric (logistic and linear regression models) and nonparametric (classification and regression trees [CART]) methods were used to create synthetic data. Data utility and disclosure risk were evaluated via confidence interval overlap, propensity score measurement, and average matching probability for re-identification.</p><p><strong>Results: </strong>Using the original survey design information as predictors during the synthesis process improved data utility for the parametric method. However, the nonparametric method yielded results with better data utility but slightly higher disclosure risk.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 212","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144267562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Creating Synthetic Data for Complex Surveys Using the Research and Development Survey: A Comparison Study. 利用研发调查为复杂调查创建综合数据:一项比较研究。
NCHS data brief Pub Date : 2025-04-01 DOI: 10.15620/cdc/174586
Guangyu Zhang, Yulei He, Anna Oganian, Bill Cai
{"title":"Creating Synthetic Data for Complex Surveys Using the Research and Development Survey: A Comparison Study.","authors":"Guangyu Zhang, Yulei He, Anna Oganian, Bill Cai","doi":"10.15620/cdc/174586","DOIUrl":"10.15620/cdc/174586","url":null,"abstract":"<p><strong>Background: </strong>Synthetic data has been gaining popularity in many fields as an approach to retain data utility (the validity of inference using synthetic data) and protect confidentiality. However, creating synthetic data for complex surveys remains a challenge.</p><p><strong>Methods: </strong>This research compared three approaches to incorporate survey design information (stratification, clustering, and sampling weights) during the synthetic data-generating process using the Research and Development Survey (RANDS), a series of primarily web surveys conducted by the National Center for Health Statistics, Centers for Disease Control and Prevention. Both parametric (logistic and linear regression models) and nonparametric (classification and regression trees [CART]) methods were used to create synthetic data. Data utility and disclosure risk were evaluated via confidence interval overlap, propensity score measurement, and average matching probability for re-identification.</p><p><strong>Results: </strong>Using the original survey design information as predictors during the synthesis process improved data utility for the parametric method. However, the nonparametric method yielded results with better data utility but slightly higher disclosure risk.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 212","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144477191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Increases in Neonatal Intensive Care Admissions in the United States, 2016-2023. 2016-2023年美国新生儿重症监护入院人数的增加
NCHS data brief Pub Date : 2025-03-01 DOI: CS357495
Joyce A Martin, Michelle J K Osterman
{"title":"Increases in Neonatal Intensive Care Admissions in the United States, 2016-2023.","authors":"Joyce A Martin, Michelle J K Osterman","doi":"CS357495","DOIUrl":"CS357495","url":null,"abstract":"<p><strong>Objectives: </strong>This report examines trends in neonatal intensive care unit (NICU) admission in the United States overall and by maternal age, race and Hispanic origin, gestational age and birthweight of the newborn, and state of residence of the mother from 2016 to 2023.</p><p><strong>Methods: </strong>Data are from the National Vital Statistics System birth files. The percentage of total NICU admissions in the United States from 2016 to 2023 are presented. Also presented are percentages of NICU admissions by maternal age, race and Hispanic origin, gestational age and birthweight of the newborn, and state of residence of the mother from 2016 to 2023.</p><p><strong>Key findings: </strong>The percentage of infants admitted to a neonatal intensive care unit (NICU) in the United States rose 13% from 2016 to 2023, from 8.7% to 9.8%. Increases from 2016 to 2023 were seen for all maternal age, race and Hispanic origin groups, gestational age and birthweight categories and in 40 states.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 525","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038910/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trends in Death Rates for Leading Methods of Injury: United States, 2003-2023. 主要伤害方法的死亡率趋势:美国,2003-2023。
NCHS data brief Pub Date : 2025-03-01 DOI: CS357496
Sally C Curtin
{"title":"Trends in Death Rates for Leading Methods of Injury: United States, 2003-2023.","authors":"Sally C Curtin","doi":"CS357496","DOIUrl":"https://doi.org/CS357496","url":null,"abstract":"<p><strong>Introduction: </strong>This data brief presents trends in injury death rates, in total and by the three leading intents (unintentional, suicide, homicide) for 2003 to 2023. Trends in unintentional injury, suicide, and homicide death rates are then presented by the three leading methods for each intent.</p><p><strong>Methods: </strong>Mortality data for 2003-2020 are from the National Center for Health Statistics' 1999-2020 Underlying Cause of Death by Bridged-Race Categories and data for 2021-2023 are from the 2018-2023 Underlying Cause of Death by Single-Race Categories. Age-adjusted death rates are based on the 2000 standard U.S. population and are per 100,000 population. Injury deaths are identified using <i>International Classification of Diseases,10th Revision</i> codes. Rates are presented for the three leading injury intents (unintentional, suicide, homicide), which are based on the number of deaths. Rates for the three leading methods within each intent are then presented.</p><p><strong>Key findings: </strong>After a period of stability from 2003 to 2013, the total injury death rate increased 21% from 2013 to 2019 and an additional 25% through 2021 before declining 4% through 2023. This pattern of an increase before 2019 and an even greater increase from 2019 to 2021 was seen for both unintentional injury and homicide deaths. Suicide, however, exhibited a different pattern, with increases from 2003 to 2018 and then a decline from 2018 to 2020 before resuming its increase. Drug overdose was the leading method of unintentional injury deaths during the period. Death rates increased from 2003 to 2022, with the largest increase from 2019 to 2022. The rate declined from 2022 to 2023. Firearms were the leading method for both suicide and homicide, with rates generally increasing over the period. Since 2021, firearm-involved homicide rates declined, while firearm-involved suicide rates were stable.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 526","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038913/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Electronic Cigarette Use Among Adults in the United States, 2019-2023. 2019-2023年美国成年人电子烟使用情况
NCHS data brief Pub Date : 2025-01-01 DOI: CS356607
Anjel Vahratian, Elizabeth M Briones, Ahmed Jamal, Kristy L Marynak
{"title":"Electronic Cigarette Use Among Adults in the United States, 2019-2023.","authors":"Anjel Vahratian, Elizabeth M Briones, Ahmed Jamal, Kristy L Marynak","doi":"CS356607","DOIUrl":"CS356607","url":null,"abstract":"<p><strong>Introduction: </strong>This report uses data from the 2019-2023 National Health Interview Survey (NHIS) to present 5-year trends in electronic cigarette use among adults and to show how prevalence estimates changed between 2019 and 2023 for men and women and by age and race and ethnicity.</p><p><strong>Methods: </strong>Point estimates and the corresponding confidence intervals for this analysis were calculated using SAS-callable SUDAAN software to account for the complex sample design of NHIS. Differences between percentages were evaluated using two-sided significance tests at the 0.05 level. Linear and quadratic trends by year and age were evaluated using orthogonal polynomials.</p><p><strong>Key findings: </strong>The percentage of adults who used electronic cigarettes increased from 4.5% in 2019 to 6.5% in 2023. In both 2019 and 2023, men were more likely than women to use electronic cigarettes. In 2023, young adults ages 21-24 were most likely to use electronic cigarettes (15.5%). The percentage of adults who used electronic cigarettes varied by race and Hispanic ethnicity in both 2019 and 2023.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 524","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035660/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data Briefs. 数据简报。
NCHS data brief Pub Date : 2024-12-01 DOI: 10.15620/cdc/170565
Matthew F Garnett, Arialdi M Miniño
{"title":"Data Briefs.","authors":"Matthew F Garnett, Arialdi M Miniño","doi":"10.15620/cdc/170565","DOIUrl":"10.15620/cdc/170565","url":null,"abstract":"<p><strong>Introduction: </strong>This report presents rates of drug overdose deaths from the National Vital Statistics System by demographic group and by the type of drugs involved (specifically, opioids and stimulants), with a focus on changes from 2022 to 2023.</p><p><strong>Methods: </strong>Data were analyzed using National Vital Statistics System multiple cause-of-death mortality files for 2003 through 2023, drug poisoning (overdose) deaths were defined as having an <i>International Classification of Diseases, 10th Revision</i> (ICD-10) underlying cause-of-death code of X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). The type of drug(s) involved was indicated by ICD-10 multiple cause-of-death codes: T40.1 (heroin), T40.2 (natural and semisynthetic opioids), T40.3 (methadone), T40.4 (synthetic opioids other than methadone), T40.5 (cocaine), and T43.6 (psychostimulants with abuse potential). Age-adjusted death rates were calculated using the direct method and the 2000 U.S. standard population. Pairwise comparisons of were conducted using the z test with an alpha level of 0.05, and trends were assessed using the Joinpoint Regression Program (5.0.2).</p><p><strong>Key findings: </strong>The age-adjusted rate of drug overdose deaths decreased from 32.6 deaths per 100,000 standard population in 2022, to 31.3 in 2023. Rates decreased between 2022 and 2023 for people ages 15-54 and increased for adults 55 and older. From 2022 to 2023, rates decreased for White non-Hispanic people, while rates for other race and Hispanic groups generally stayed the same or increased. From 2022 to 2023, rates declined for deaths involving synthetic opioids other than methadone, heroin, and natural and semisynthetic opioids, remained statistically unchanged for methadone, and increased by 4.9% for cocaine (from 8.2 to 8.6) and by 1.9% for psychostimulants with abuse potential (from 10.4 to 10.6).</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 522","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12278041/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144585200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emergency Department Visits With an Influenza Test Ordered or Provided: United States, 2013-2022. 订购或提供流感检测的急诊就诊:美国,2013-2022
NCHS data brief Pub Date : 2024-12-01 DOI: CS355216
Susan M Schappert, Loredana Santo
{"title":"Emergency Department Visits With an Influenza Test Ordered or Provided: United States, 2013-2022.","authors":"Susan M Schappert, Loredana Santo","doi":"CS355216","DOIUrl":"CS355216","url":null,"abstract":"<p><strong>Introduction: </strong>Influenza, also known as flu, is a viral respiratory infection. In the 2022-2023 flu season, an estimated 31 million people developed influenza, 360,000 were hospitalized with influenza, and 21,000 died from influenza. To prevent more serious illness, early identification and treatment of influenza is important. This report uses data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) to study trends in the use of influenza testing at hospital emergency department (ED)visits from 2013 through 2022.</p><p><strong>Methods: </strong>Data in this report are from NHAMCS, a nationally representative annual survey of nonfederal general and short-stay hospitals. Results are presented from 2013 to 2022. Estimates and their corresponding variances were calculated using SAS-callable SUDAAN software. Differences between percentages were evaluated using two-sided significance  <i>t</i>  tests at the 0.05 level. Linear regression was used to test the significance of slope.</p><p><strong>Key findings: </strong>ED visits by children ages 0-5 years had the highest percentage of influenza tests ordered or provided in 2013 and 2022. Percentages of ED visits with an influenza test ordered or provided increased between 2013 and 2022 for all age groups. Fever and cough were the most frequent first-listed reasons for ED visits at which an influenza test was ordered or provided in both 2013 and 2022. Percentages of ED visits with an influenza test ordered or provided increased within each region of the United States (Northeast, Midwest, South, and West) between 2013 and 2022.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 517","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12104849/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emergency Department Visits With an Influenza Test Ordered or Provided: United States, 2013-2022. 订购或提供流感检测的急诊就诊:美国,2013-2022
NCHS data brief Pub Date : 2024-12-01 DOI: 10.15620/cdc/168516
Susan M Schappert, Loredana Santo
{"title":"Emergency Department Visits With an Influenza Test Ordered or Provided: United States, 2013-2022.","authors":"Susan M Schappert, Loredana Santo","doi":"10.15620/cdc/168516","DOIUrl":"https://doi.org/10.15620/cdc/168516","url":null,"abstract":"<p><strong>Introduction: </strong>Influenza, also known as flu, is a viral respiratory infection. In the 2022-2023 flu season, an estimated 31 million people developed influenza, 360,000 were hospitalized with influenza, and 21,000 died from influenza. To prevent more serious illness, early identification and treatment of influenza is important. This report uses data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) to study trends in the use of influenza testing at hospital emergency department (ED)visits from 2013 through 2022.</p><p><strong>Methods: </strong>Data in this report are from NHAMCS, a nationally representative annual survey of nonfederal general and short-stay hospitals. Results are presented from 2013 to 2022. Estimates and their corresponding variances were calculated using SAS-callable SUDAAN software. Differences between percentages were evaluated using two-sided significance  <i>t</i>  tests at the 0.05 level. Linear regression was used to test the significance of slope.</p><p><strong>Key findings: </strong>ED visits by children ages 0-5 years had the highest percentage of influenza tests ordered or provided in 2013 and 2022. Percentages of ED visits with an influenza test ordered or provided increased between 2013 and 2022 for all age groups. Fever and cough were the most frequent first-listed reasons for ED visits at which an influenza test was ordered or provided in both 2013 and 2022. Percentages of ED visits with an influenza test ordered or provided increased within each region of the United States (Northeast, Midwest, South, and West) between 2013 and 2022.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 517","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144267561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Receipt of Family Planning Services in the United States: 2022-2023. 美国计划生育服务的接收:2022-2023。
NCHS data brief Pub Date : 2024-12-01 DOI: CS355666
Gladys Martinez
{"title":"Receipt of Family Planning Services in the United States: 2022-2023.","authors":"Gladys Martinez","doi":"CS355666","DOIUrl":"CS355666","url":null,"abstract":"<p><strong>Introduction: </strong>This report uses data from the 2022‒2023 National Survey of Family Growth (NSFG) to estimate receipt of family planning services by selected characteristics among females ages 15‒49 in the United States.</p><p><strong>Methods: </strong>NSFG data were collected through a multi-mode design (in-person and web interviews) with a nationally representative samples of males and females ages 15-49 in the household population of the United States. This report uses data from 5,586 females who completed the survey between January 2022 and December 2023.</p><p><strong>Key findings: </strong>During 2022‒2023, 35.7% of females ages 15‒49 received a family planning service in the past 12 months. A larger percentage of White, non-Hispanic females ages 15‒49 received a family planning service (39.7%) compared with Black, non-Hispanic (34.7%) and Hispanic (32.4%) females.</p>","PeriodicalId":39458,"journal":{"name":"NCHS data brief","volume":" 520","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11744434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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