National health statistics reports最新文献

{"title":"Demographic Differences in Life Dissatisfaction Among Adults: United States, 2021.","authors":"Amanda E Ng, Dzifa Adjaye-Gbewonyo, Kristen Cibelli Hibben","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-Previous work has established life satisfaction as an important indicator of overall health and well-being. This report describes differences in life dissatisfaction by selected characteristics, grouped by family income. Methods-Data from the 2021 National Health Interview Survey were used to examine the percentage of adults that were dissatisfied with life by selected demographic characteristics (age, sex, race and Hispanic origin, and nativity status [born in the United States or U.S. territory]), grouped by family income. Results-In 2021, 4.8% of adults were dissatisfied with life. In general, analyses showed significant differences by all selected demographic characteristics among adults with incomes of less than 200% of the federal poverty level. Among this group, men, adults ages 45-64, White non-Hispanic adults, Black non-Hispanic adults, and adults born in the United States were more likely to be dissatisfied with life compared with their counterparts. No significant differences in life dissatisfaction by selected demographic characteristics among adults with incomes greater than 200% of the federal poverty level were observed. Conclusion-This report presents estimates of life dissatisfaction among adults by demographic subgroups and family income. These results highlight the importance of monitoring life dissatisfaction among detailed subgroups grouped by income, in addition to the overall national estimate.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 192","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71483823","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":"Geographic Variation in Health Insurance Coverage:United States, 2022.","authors":"Emily P Terlizzi, Robin A Cohen","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report presents state, regional, and national estimates of the percentage of people who were uninsured, had private health insurance coverage, and had public health insurance coverage at the time of the interview. Methods-Data from the 2022 National Health Interview Survey were used to estimate health insurance coverage. Estimates were categorized by age group, state Medicaid expansion status, urbanization level, expanded region, and state. Estimates by state Medicaid expansion status, urbanization level, and expanded region were based on data from all 50 states and the District of Columbia. State estimates are shown for 32 states and the District of Columbia for people younger than age 65 and adults ages 18-64, and 27 states for children. Results-In 2022, among people younger than age 65, 10.2% were uninsured, 64.0% had private coverage, and 28.2% had public coverage at the time of the interview. Among adults ages 18-64, the percentage who were uninsured ranged from 10.1% for those living in large fringe (suburban) metropolitan counties to 13.9% for both those living in nonmetropolitan counties and large central metropolitan counties. Adults ages 18-64 living in non-Medicaid expansion states were twice as likely to be uninsured (19.6%) compared with those living in Medicaid expansion states (9.1%). A similar pattern was observed among children ages 0-17 years. The percentage of adults ages 18-64 who were uninsured was significantly higher than the national average (12.4%) in Florida (17.9%), Georgia (21.2%), Tennessee (21.6%), and Texas (27.0%), and significantly lower than the national average in Maryland (7.0%), Massachusetts (3.0%), Michigan (6.5%), New York (5.6%), Ohio (8.6%), Pennsylvania (7.2%), Virginia (8.5%), Washington (7.3%), and Wisconsin (7.0%). The percentage of people younger than age 65 who were uninsured was lowest in the New England region (3.5%).</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 194","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138482676","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":"Demographic Variation in Health Insurance Coverage:United States, 2022.","authors":"Robin A Cohen, Emily P Terlizzi","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report presents national estimates of different types of health insurance coverage and lack of coverage (uninsured). Estimates are presented by selected sociodemographic characteristics, including age, sex, race and Hispanic origin, family income, education level, employment status, and marital status. Methods-Data from the 2022 National Health Interview Survey were used to estimate health insurance coverage. Estimates were categorized by selected sociodemographic characteristics. Additionally, those who were uninsured were categorized by length of time since they had coverage, private coverage was further classified by source of plan, and public coverage was categorized by type of public plan. Results-In 2022, 28.1 million (8.6%) people of all ages were uninsured at the time of the interview. This includes 27.7 million (10.2%) people younger than age 65. Among children, 3.0 million (4.2%) were uninsured, and among working-age adults (ages 18-64), 24.7 million (12.4%) were uninsured. Among people younger than age 65, 64.0% were covered by private health insurance, including 56.0% with employment-based coverage and 6.8% with directly purchased coverage. Moreover, 4.5% were covered by exchange-based coverage, a type of directly purchased coverage. Among people younger than age 65, about two in five children and one in five adults ages 18-64 had public health coverage, mainly Medicaid and the Children's Health Insurance Program. Among adults age 65 and older, the percentage who were covered by private health insurance (with or without Medicare), Medicare Advantage, and traditional Medicare only varied by age, family income, education level, and race and Hispanic origin.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 193","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138478188","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":"Geographic Variation in Health Insurance Coverage:United States, 2022.","authors":"Emily P. Terlizzi, Robin A. Cohen","doi":"10.15620/cdc:133320","DOIUrl":"https://doi.org/10.15620/cdc:133320","url":null,"abstract":"Objectives-This report presents state, regional, and national estimates of the percentage of people who were uninsured, had private health insurance coverage, and had public health insurance coverage at the time of the interview. Methods-Data from the 2022 National Health Interview Survey were used to estimate health insurance coverage. Estimates were categorized by age group, state Medicaid expansion status, urbanization level, expanded region, and state. Estimates by state Medicaid expansion status, urbanization level, and expanded region were based on data from all 50 states and the District of Columbia. State estimates are shown for 32 states and the District of Columbia for people younger than age 65 and adults ages 18-64, and 27 states for children. Results-In 2022, among people younger than age 65, 10.2% were uninsured, 64.0% had private coverage, and 28.2% had public coverage at the time of the interview. Among adults ages 18-64, the percentage who were uninsured ranged from 10.1% for those living in large fringe (suburban) metropolitan counties to 13.9% for both those living in nonmetropolitan counties and large central metropolitan counties. Adults ages 18-64 living in non-Medicaid expansion states were twice as likely to be uninsured (19.6%) compared with those living in Medicaid expansion states (9.1%). A similar pattern was observed among children ages 0-17 years. The percentage of adults ages 18-64 who were uninsured was significantly higher than the national average (12.4%) in Florida (17.9%), Georgia (21.2%), Tennessee (21.6%), and Texas (27.0%), and significantly lower than the national average in Maryland (7.0%), Massachusetts (3.0%), Michigan (6.5%), New York (5.6%), Ohio (8.6%), Pennsylvania (7.2%), Virginia (8.5%), Washington (7.3%), and Wisconsin (7.0%). The percentage of people younger than age 65 who were uninsured was lowest in the New England region (3.5%).","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"22 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139303861","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":"Demographic Variation in Health Insurance Coverage:United States, 2022.","authors":"Robin A. Cohen, Emily P. Terlizzi","doi":"10.15620/cdc:133321","DOIUrl":"https://doi.org/10.15620/cdc:133321","url":null,"abstract":"Objectives-This report presents national estimates of different types of health insurance coverage and lack of coverage (uninsured). Estimates are presented by selected sociodemographic characteristics, including age, sex, race and Hispanic origin, family income, education level, employment status, and marital status. Methods-Data from the 2022 National Health Interview Survey were used to estimate health insurance coverage. Estimates were categorized by selected sociodemographic characteristics. Additionally, those who were uninsured were categorized by length of time since they had coverage, private coverage was further classified by source of plan, and public coverage was categorized by type of public plan. Results-In 2022, 28.1 million (8.6%) people of all ages were uninsured at the time of the interview. This includes 27.7 million (10.2%) people younger than age 65. Among children, 3.0 million (4.2%) were uninsured, and among working-age adults (ages 18-64), 24.7 million (12.4%) were uninsured. Among people younger than age 65, 64.0% were covered by private health insurance, including 56.0% with employment-based coverage and 6.8% with directly purchased coverage. Moreover, 4.5% were covered by exchange-based coverage, a type of directly purchased coverage. Among people younger than age 65, about two in five children and one in five adults ages 18-64 had public health coverage, mainly Medicaid and the Children's Health Insurance Program. Among adults age 65 and older, the percentage who were covered by private health insurance (with or without Medicare), Medicare Advantage, and traditional Medicare only varied by age, family income, education level, and race and Hispanic origin.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"190 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139292833","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":"Stressful Life Events and Healthcare Utilization Among U.S. Children Aged 2-17 Years.","authors":"Lindsey I Black,&nbsp;Amanda E Ng,&nbsp;Benjamin Zablotsky","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 190","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":"10474858","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":"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}