Investigating the Relationship between Socially-Assigned Ethnicity, Racial Discrimination and Health Advantage in New Zealand
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{"title"=>"Investigating the relationship between socially-assigned ethnicity, racial discrimination and health advantage in New Zealand", "type"=>"journal", "authors"=>[{"first_name"=>"Donna M.", "last_name"=>"Cormack", "scopus_author_id"=>"8292056500"}, {"first_name"=>"Ricci B.", "last_name"=>"Harris", "scopus_author_id"=>"7405698354"}, {"first_name"=>"James", "last_name"=>"Stanley", "scopus_author_id"=>"55547141218"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"24391876", "doi"=>"10.1371/journal.pone.0084039", "sgr"=>"84894112713", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84894112713", "issn"=>"19326203", "pui"=>"372407296"}, "id"=>"1180d30a-4a2c-342b-8e7b-d1b4a592287f", "abstract"=>"BACKGROUND: While evidence of the contribution of racial discrimination to ethnic health disparities has increased significantly, there has been less research examining relationships between ascribed racial/ethnic categories and health. It has been hypothesized that in racially-stratified societies being assigned as belonging to the dominant racial/ethnic group may be associated with health advantage. This study aimed to investigate associations between socially-assigned ethnicity, self-identified ethnicity, and health, and to consider the role of self-reported experience of racial discrimination in any relationships between socially-assigned ethnicity and health.\\n\\nMETHODS: The study used data from the 2006/07 New Zealand Health Survey (n = 12,488), a nationally representative cross-sectional survey of adults 15 years and over. Racial discrimination was measured as reported individual-level experiences across five domains. Health outcome measures examined were self-reported general health and psychological distress.\\n\\nRESULTS: The study identified varying levels of agreement between participants' self-identified and socially-assigned ethnicities. Individuals who reported both self-identifying and being socially-assigned as always belonging to the dominant European grouping tended to have more socioeconomic advantage and experience less racial discrimination. This group also had the highest odds of reporting optimal self-rated health and lower mean levels of psychological distress. These differences were attenuated in models adjusting for socioeconomic measures and individual-level racial discrimination.\\n\\nCONCLUSIONS: The results suggest health advantage accrues to individuals who self-identify and are socially-assigned as belonging to the dominant European ethnic grouping in New Zealand, operating in part through socioeconomic advantage and lower exposure to individual-level racial discrimination. This is consistent with the broader evidence of the negative impacts of racism on health and ethnic inequalities that result from the inequitable distribution of health determinants, the harm and chronic stress linked to experiences of racial discrimination, and via the processes and consequences of racialization at a societal level.", "link"=>"http://www.mendeley.com/research/investigating-relationship-between-sociallyassigned-ethnicity-racial-discrimination-health-advantage", "reader_count"=>27, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>6, "Student > Master"=>7, "Other"=>4, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>6, "Student > Master"=>7, "Other"=>4, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Environmental Science"=>1, "Nursing and Health Professions"=>7, "Medicine and Dentistry"=>6, "Agricultural and Biological Sciences"=>1, "Arts and Humanities"=>2, "Psychology"=>1, "Social Sciences"=>8}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Social Sciences"=>{"Social Sciences"=>8}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>7}, "Unspecified"=>{"Unspecified"=>1}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}}, "reader_count_by_country"=>{"New Zealand"=>1, "United States"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1333990"], "description"=>"<p>Odds of reporting ever experiencing racism for the self-identified–socially-assigned ethnicity categories.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Psychological stress", "Public health", "Behavioral and social aspects of health", "Sociology", "demography", "Ethnic groups", "Population majorities", "Population minorities", "Social discrimination", "Racial discrimination", "Social prejudice", "Social stratification", "experiencing", "ethnicity"], "article_id"=>890495, "categories"=>["Biological Sciences", "Medicine", "Sociology"], "users"=>["Donna M. Cormack", "Ricci B. Harris", "James Stanley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084039.t005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Odds_of_reporting_ever_experiencing_racism_for_the_self_identified_8211_socially_assigned_ethnicity_categories_/890495", "title"=>"Odds of reporting ever experiencing racism for the self-identified–socially-assigned ethnicity categories.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:50:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333991"], "description"=>"<p>Odds of reporting excellent/very good health (compared to good/fair/poor health) for the self-identified–socially-assigned ethnicity categories.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Psychological stress", "Public health", "Behavioral and social aspects of health", "Sociology", "demography", "Ethnic groups", "Population majorities", "Population minorities", "Social discrimination", "Racial discrimination", "Social prejudice", "Social stratification", "ethnicity"], "article_id"=>890496, "categories"=>["Biological Sciences", "Medicine", "Sociology"], "users"=>["Donna M. Cormack", "Ricci B. Harris", "James Stanley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084039.t006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Odds_of_reporting_excellent_very_good_health_compared_to_good_fair_poor_health_for_the_self_identified_8211_socially_assigned_ethnicity_categories_/890496", "title"=>"Odds of reporting excellent/very good health (compared to good/fair/poor health) for the self-identified–socially-assigned ethnicity categories.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:50:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333992"], "description"=>"<p>Differences in mean K10 scores for the self-identified–socially-assigned ethnicity categories.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Psychological stress", "Public health", "Behavioral and social aspects of health", "Sociology", "demography", "Ethnic groups", "Population majorities", "Population minorities", "Social discrimination", "Racial discrimination", "Social prejudice", "Social stratification", "k10", "scores", "ethnicity"], "article_id"=>890497, "categories"=>["Biological Sciences", "Medicine", "Sociology"], "users"=>["Donna M. Cormack", "Ricci B. Harris", "James Stanley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084039.t007"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Differences_in_mean_K10_scores_for_the_self_identified_8211_socially_assigned_ethnicity_categories_/890497", "title"=>"Differences in mean K10 scores for the self-identified–socially-assigned ethnicity categories.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:50:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333993"], "description"=>"<p><sup>a</sup> This table includes 12,313 respondents, 98.6% of the total sample. The remaining respondents self-identified as belonging to other combinations of the ethnic groupings. This table summarizes agreement at the level of broad ethnic groupings (e.g. Asian) and does not measure disagreement that may exist within these broad groupings.</p><p><sup>b</sup> E = European, M = Māori, P = Pacific, A = Asian, O = Other.</p><p>Note: Cells with 5 or less respondents are suppressed in this table.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Psychological stress", "Public health", "Behavioral and social aspects of health", "Sociology", "demography", "Ethnic groups", "Population majorities", "Population minorities", "Social discrimination", "Racial discrimination", "Social prejudice", "Social stratification", "self-identified", "ethnicity", "socially-assigned", "frequencies"], "article_id"=>890498, "categories"=>["Biological Sciences", "Medicine", "Sociology"], "users"=>["Donna M. Cormack", "Ricci B. Harris", "James Stanley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084039.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cross_tabulation_of_self_identified_ethnicity_versus_socially_assigned_ethnicity_a_unweighted_frequencies_and_percentages_/890498", "title"=>"Cross-tabulation of self-identified ethnicity versus socially-assigned ethnicity<sup>a</sup> (unweighted frequencies and percentages).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:50:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333994"], "description"=>"<p>Cross-tabulation of four self-identified–socially-assigned analytical categories (unweighted frequencies and percentages).</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Psychological stress", "Public health", "Behavioral and social aspects of health", "Sociology", "demography", "Ethnic groups", "Population majorities", "Population minorities", "Social discrimination", "Racial discrimination", "Social prejudice", "Social stratification", "analytical", "categories", "frequencies"], "article_id"=>890499, "categories"=>["Biological Sciences", "Medicine", "Sociology"], "users"=>["Donna M. Cormack", "Ricci B. Harris", "James Stanley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084039.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cross_tabulation_of_four_self_identified_8211_socially_assigned_analytical_categories_unweighted_frequencies_and_percentages_/890499", "title"=>"Cross-tabulation of four self-identified–socially-assigned analytical categories (unweighted frequencies and percentages).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:50:20"}
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PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences", "average_usage"=>[264, 460, 584, 692, 794, 887, 978, 1067, 1154, 1241, 1328, 1408, 1474]}, {"subject_area"=>"/Medicine and health sciences/Health care", "average_usage"=>[278, 463, 587, 692, 804, 897, 984, 1068, 1165, 1254, 1339, 1429, 1490]}, {"subject_area"=>"/Medicine and health sciences/Mental health and psychiatry", "average_usage"=>[282, 468, 596, 706, 804, 895, 1000, 1081, 1175, 1272, 1356, 1445, 1531]}, {"subject_area"=>"/Medicine and health sciences/Public and occupational health", "average_usage"=>[291, 491, 610, 723, 817, 906, 991, 1071, 1153, 1238, 1324, 1411, 1478]}, {"subject_area"=>"/People and places", "average_usage"=>[270, 456, 573, 676, 773, 867, 955, 1037, 1120, 1205, 1286, 1363, 1436]}, {"subject_area"=>"/People and places/Demography", "average_usage"=>[253, 440, 552, 650, 735, 820, 902, 976, 1042, 1112, 1192, 1271, 1337]}, {"subject_area"=>"/People and places/Geographical locations", "average_usage"=>[263, 456, 571, 673, 776, 866, 955, 1040, 1132, 1217, 1310, 1391, 1454]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[265, 456, 578, 682, 782, 881, 965, 1053, 1133, 1223, 1310, 1391, 1457]}, {"subject_area"=>"/Social sciences", "average_usage"=>[289, 475, 593, 703, 805, 902, 990, 1078, 1158, 1250, 1336, 1417, 1482]}]}
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