Amanda E Ng, Dzifa Adjaye-Gbewonyo, Kristen Cibelli Hibben
{"title":"Demographic Differences in Life Dissatisfaction Among Adults: United States, 2021.","authors":"Amanda E Ng, Dzifa Adjaye-Gbewonyo, Kristen Cibelli Hibben","doi":"","DOIUrl":null,"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":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"National health statistics reports","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Notice: Effective January 2008 the title, National Health Statistics Reports (NHSR), replaces Advance Data from Vital and Health Statistics (AD). NHSRs will be numbered sequentially beginning with 1. The last AD report number is 395. These reports provide annual data summaries, present analyses of health topics, or present new information on methods or measurement issues.