National health statistics reports最新文献

{"title":"Stressful Life Events and Healthcare Utilization Among U.S. Children Aged 2-17 Years.","authors":"Lindsey I. Black, Amanda E. Ng, Benjamin Zablotsky","doi":"10.15620/cdc:130311","DOIUrl":"https://doi.org/10.15620/cdc:130311","url":null,"abstract":"Objective-Associations between stressful life events (SLEs) during childhood and suboptimal healthcare access and use has been documented. Recent changes to the National Health Interview Survey's questionnaire enabled the inclusion of SLEs in the child sample, resulting in an additional national data source where SLEs can be tracked. In this report, the latest SLE estimates are examined for children aged 2-17 years in the United States and their associations with healthcare utilization. Methods-Data from the 2021 National Health Interview Survey were used to examine the percentage of children who experienced one or more SLEs-emotional abuse, unmet basic needs, experiences of racism, household mental illness, household substance abuse, parental incarceration, and exposure to neighborhood violence-and describe the association between SLEs and selected healthcare utilization indicators over the past 12 months (as in no well-child visit, emergency room visits, urgent care visits, unmet medical care needs due to cost, use of prescription medications for mental health, and use of any mental health therapy). Multivariate logistic regression models were fit to produce prevalence ratios for selected healthcare utilization indicators by SLEs, after adjusting for child and family sociodemographic characteristics. Results-In 2021, one in five children aged 2-17 years had ever experienced an SLE. In general, all SLEs were related to higher healthcare utilization (as in emergency department visits or mental health therapy) and unmet medical care needs. In general, no significant associations were found between experiencing SLEs and not receiving preventive health care. After adjusting for demographic characteristics, higher rates of healthcare utilization, unmet medical care needs, and mental healthcare utilization generally persisted for children with SLEs. Conclusion-This report expands knowledge on the relationship between childhood SLEs and the use of preventive care, healthcare utilization, and mental health care. National Health Interview Survey data can be used to monitor trends in these associations over time.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"190 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48578896","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}

{"title":"Repetitive Strain Injuries in Adults in the Past 3 Months: United States, 2021.","authors":"Matthew F Garnett, Nazik Elgaddal, M. Spencer","doi":"10.15620/cdc:129848","DOIUrl":"https://doi.org/10.15620/cdc:129848","url":null,"abstract":"Objectives-This report describes the percentage of adults aged 18 and over who reported injuries from repetitive strain in the past 3 months by selected sociodemographic characteristics, including age, sex, race and Hispanic origin, and family income. The impacts of these injuries-limitation of usual activity for at least 24 hours and whether a medical professional was consulted for the injuries-are also examined. Methods-Data from the 2021 National Health Interview Survey were used to estimate the percentage of adults who had repetitive strain injuries in the past 3 months by sociodemographic characteristics. Among those who had a repetitive strain injury in the past 3 months, 24-hour limitation of activity and consultation of a medical professional are also examined by sociodemographic characteristics. Results-In 2021, for adults aged 18 and over in the United States, 9.0% had repetitive strain injuries in the past 3 months. Adults aged 35-49 (10.3%) and 50-64 (11.6%), White non-Hispanic adults (subsequently, White; 9.5%), and adults with family income at 400% or more of the federal poverty level (9.8%) tended to have higher percentages. For those who had repetitive strain injuries, 44.2% limited their activities for at least 24 hours, with the highest percentages among White adults (47.0%), women (47.1%), and adults with a family income less than 200% of the federal poverty level (51.0%). For those who limited their activity for at least 24 hours due to a repetitive strain injury, 51.4% consulted a doctor or medical professional, with the highest percentages among women (56.3%) and Black non-Hispanic adults (66.2%).","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"189 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42799472","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}

{"title":"Repetitive Strain Injuries in Adults in the Past 3 Months: United States, 2021.","authors":"Matthew F Garnett,&nbsp;Nazik Elgaddal,&nbsp;Merianne Rose Spencer","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report describes the percentage of adults aged 18 and over who reported injuries from repetitive strain in the past 3 months by selected sociodemographic characteristics, including age, sex, race and Hispanic origin, and family income. The impacts of these injuries-limitation of usual activity for at least 24 hours and whether a medical professional was consulted for the injuries-are also examined. Methods-Data from the 2021 National Health Interview Survey were used to estimate the percentage of adults who had repetitive strain injuries in the past 3 months by sociodemographic characteristics. Among those who had a repetitive strain injury in the past 3 months, 24-hour limitation of activity and consultation of a medical professional are also examined by sociodemographic characteristics. Results-In 2021, for adults aged 18 and over in the United States, 9.0% had repetitive strain injuries in the past 3 months. Adults aged 35-49 (10.3%) and 50-64 (11.6%), White non-Hispanic adults (subsequently, White; 9.5%), and adults with family income at 400% or more of the federal poverty level (9.8%) tended to have higher percentages. For those who had repetitive strain injuries, 44.2% limited their activities for at least 24 hours, with the highest percentages among White adults (47.0%), women (47.1%), and adults with a family income less than 200% of the federal poverty level (51.0%). For those who limited their activity for at least 24 hours due to a repetitive strain injury, 51.4% consulted a doctor or medical professional, with the highest percentages among women (56.3%) and Black non-Hispanic adults (66.2%).</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 189","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9945510","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}

{"title":"Comparison of Mental Health Estimates by Sociodemographic Characteristics in the Research and Development Survey 3 and the 2019 National Health Interview Survey.","authors":"Leanna P Moron, Katherine E Irimata, Jennifer D Parker","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report compares national and subgroup estimates of any (mild, moderate, or severe) level of major depressive disorder (depression) and generalized anxiety disorder (GAD) symptoms among the U.S. adult population from two data sources, the 2019 National Health Interview Survey (NHIS) and the third round of the Research and Development Survey (RANDS 3). Methods-Data from the 2019 NHIS (n = 31,997) and RANDS 3 (n = 2,646) were used. The eight-item Patient Health Questionnaire (PHQ-8), scores ranging from 0 to 24, and the seven-item GAD scale (GAD-7), scores ranging from 0 to 21, were used to measure the severity of depression and GAD symptoms, respectively. Binary indicators of exhibiting symptoms were based on scores of 5 to 24 for depression and 5 to 21 for GAD. The estimates were compared by the following sociodemographic characteristics: age, sex, race and Hispanic origin, education, and region. Results-Nearly all of the national and subgroup estimates of adults with depression and GAD symptoms were significantly higher based on RANDS 3 compared with the 2019 NHIS. The only exception was the depression symptoms estimate among adults aged 65 and over, where the estimates were comparable across the two data sources. Both data sources found that depression symptoms were associated with sex, age, race and Hispanic origin, and education, and GAD symptoms were associated with age, race and Hispanic origin, and education. However, NHIS identified a few associations that RANDS did not, including associations between depression symptoms and region and GAD symptoms and sex. Conclusions-Mental health estimates from RANDS, a web-based survey, may be overestimated when compared with a traditional in-person household survey. These results may inform potential strategies to improve the comparability of mental health estimates from RANDS and other surveys like NHIS, such as calibration weights or other model-based methods.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 188","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10192761","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}

{"title":"A Comparison of the Mortality Experience of U.S. Adults Estimated With the 2006-2018 National Health Interview Survey Linked Mortality Files and the Annual U.S. Life Tables.","authors":"J. Keralis, Cindy Zhang, C. Cox, L. Mirel","doi":"10.15620/cdc:126565","DOIUrl":"https://doi.org/10.15620/cdc:126565","url":null,"abstract":"Objective-Linking data is a powerful mechanism to provide policy-relevant information. The National Center for Health Statistics' Data Linkage Program produces linked mortality files (LMFs) for research by linking data from the National Center for Health Statistics' surveys, including the National Health Interview Survey (NHIS), to mortality data from the National Death Index. Assessing the accuracy of the linked data is an important step in ensuring its analytic use. This report compares the cumulative survival probabilities estimated with the 2006-2018 NHIS LMFs to those from the annual U.S. life tables.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"186 1","pages":"1-29"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47911806","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}

{"title":"A Comparison of the Mortality Experience of U.S. Adults Estimated With the 2006-2018 National Health Interview Survey Linked Mortality Files and the Annual U.S. Life Tables.","authors":"Jessica M Keralis,&nbsp;Cindy Zhang,&nbsp;Christine S Cox,&nbsp;Lisa B Mirel","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-Linking data is a powerful mechanism to provide policy-relevant information. The National Center for Health Statistics' Data Linkage Program produces linked mortality files (LMFs) for research by linking data from the National Center for Health Statistics' surveys, including the National Health Interview Survey (NHIS), to mortality data from the National Death Index. Assessing the accuracy of the linked data is an important step in ensuring its analytic use. This report compares the cumulative survival probabilities estimated with the 2006-2018 NHIS LMFs to those from the annual U.S. life tables.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 186","pages":"1-29"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9721490","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}

{"title":"National Hospital Care Survey Demonstration Projects:Mortality Following Nonfatal Opioid Overdose Visits to the Emergency Department.","authors":"M. Spencer, Donielle G White, Geoff Jackson","doi":"10.15620/cdc:127054","DOIUrl":"https://doi.org/10.15620/cdc:127054","url":null,"abstract":"Objective-This report provides a descriptive analysis of a sample of adult patients who visited the emergency department (ED) for nonfatal opioid overdose (NOO), using restricted-use 2016 National Hospital Care Survey data linked to the 2016-2017 National Death Index and the 2016-2017 Drug-Involved Mortality data from the National Center for Health Statistics.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"187 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43409875","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}

{"title":"National Hospital Care Survey Demonstration Projects:Mortality Following Nonfatal Opioid Overdose Visits to the Emergency Department.","authors":"Merianne Rose Spencer,&nbsp;Donielle G White,&nbsp;Geoffrey Jackson","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-This report provides a descriptive analysis of a sample of adult patients who visited the emergency department (ED) for nonfatal opioid overdose (NOO), using restricted-use 2016 National Hospital Care Survey data linked to the 2016-2017 National Death Index and the 2016-2017 Drug-Involved Mortality data from the National Center for Health Statistics.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 187","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9721492","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}

{"title":"Health Conditions and Health Care Use Among American Indian and Alaska Native Adults by Tribal Land Residential Status: United States, 2019-2021.","authors":"Amanda E Ng,&nbsp;Dzifa Adjaye-Gbewonyo,&nbsp;Anjel Vahratian","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-This report presents estimates for selected health conditions and health care use among American Indian and Alaska Native (AIAN) adults by tribal land residential status.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 185","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9721491","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}

{"title":"Emergency Department Visits Related to Mental Health Disorders Among Adults, by Race and Hispanic Ethnicity: United States, 2018-2020.","authors":"Zachary J Peters,&nbsp;Loredana Santo,&nbsp;Danielle Davis,&nbsp;Carol J DeFrances","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-This report describes emergency department (ED) visits related to mental health disorders among adults and assesses differences in mental health-related ED visit characteristics by race and Hispanic ethnicity.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 181","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9635813","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}