SociusPub Date : 2022-01-01Epub Date: 2022-03-05DOI: 10.1177/23780231221082401
Elizabeth Wrigley-Field, Kaitlyn M Berry, Govind Persad
{"title":"Race-Specific, State-Specific COVID-19 Vaccination Rates Adjusted for Age.","authors":"Elizabeth Wrigley-Field, Kaitlyn M Berry, Govind Persad","doi":"10.1177/23780231221082401","DOIUrl":"10.1177/23780231221082401","url":null,"abstract":"<p><p>The authors provide the first age-standardized race/ethnicity-specific, state-specific vaccination rates for the United States. Data encompass all states reporting race/ethnicity-specific vaccinations and reflect vaccinations through mid-October 2021, just before eligibility expanded below age 12. Using indirect age standardization, the authors compare racial/ethnic state vaccination rates with national rates. The results show that white and Black state median vaccination rates are, respectively, 89 percent and 76 percent of what would be predicted on the basis of age; Hispanic and Native rates are almost identical to what would be predicted; and Asian American/Pacific Islander rates are 110 percent of what would be predicted. The authors also find that racial/ethnic vaccination rates are associated with state politics, as proxied by 2020 Trump vote share: for each percentage point increase in Trump vote share, vaccination rates decline by 1.08 percent of what would be predicted on the basis of age. This decline is sharpest for Native American vaccinations, although these are reported for relatively few states.</p>","PeriodicalId":36345,"journal":{"name":"Socius","volume":"8 ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128071/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141296844","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}
SociusPub Date : 2019-01-01Epub Date: 2019-06-25DOI: 10.1177/2378023119851016
Robert E M Pickett, Aliya Saperstein, Andrew M Penner
{"title":"Placing Racial Classification in Context.","authors":"Robert E M Pickett, Aliya Saperstein, Andrew M Penner","doi":"10.1177/2378023119851016","DOIUrl":"https://doi.org/10.1177/2378023119851016","url":null,"abstract":"<p><p>This article extends previous research on place-based patterns of racial categorization by linking it to sociological theory that posits subnational variation in cultural schemas and applying regression techniques that allow for spatial variation in model estimates. We use data from a U.S. restricted-use geocoded longitudinal survey to predict racial classification as a function of both individual and county characteristics. We first estimate national average associations, then turn to spatial-regime models and geographically weighted regression to explore how these relationships vary across the country. We find that individual characteristics matter most for classification as \"Black,\" while contextual characteristics are important predictors of classification as \"White\" or \"Other,\" but some predictors also vary across space, as expected. These results affirm the importance of place in defining racial boundaries and suggest that U.S. racial schemas operate at different spatial scales, with some being national in scope while others are more locally situated.</p>","PeriodicalId":36345,"journal":{"name":"Socius","volume":"5 ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/2378023119851016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41214969","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}
SociusPub Date : 2018-01-01Epub Date: 2018-11-12DOI: 10.1177/2378023118807022
Kimberly R Huyser, Ronald J Angel, Janette Beals, James H Cox, Robert A Hummer, Arthur Sakamoto, Spero M Manson
{"title":"Reservation Lands as a Protective Social Factor: An Analysis of Psychological Distress among Two American Indian Tribes.","authors":"Kimberly R Huyser, Ronald J Angel, Janette Beals, James H Cox, Robert A Hummer, Arthur Sakamoto, Spero M Manson","doi":"10.1177/2378023118807022","DOIUrl":"10.1177/2378023118807022","url":null,"abstract":"<p><p>The unique physical, cultural, and ecological location of U.S. American Indian reservations simultaneously presents risks for mental health and offers sources of resilience to Native peoples. Using survey data from two American Indian tribes, we explore whether the length of one's life spent on a reservation is associated with lower odds of psychological distress. In both tribes, we find that individuals who live a vast majority of their lives on the reservation have lower odds of psychological distress than individuals who spent portions of their life off or near the reservation. These findings suggest a need to reframe the perception of life experience on tribal reservations but also call for a more nuanced investigation of the life experience of American Indians. This study illustrates the importance of deeply exploring the relationship that American Indians have with their tribal reservation lands.</p>","PeriodicalId":36345,"journal":{"name":"Socius","volume":"4 ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699168/pdf/nihms-1045160.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41214967","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}