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How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment.
Garbarski, Dana; Dykema, Jennifer; Croes, Kenneth D; Edwards, Dorothy F.
Afiliação
  • Garbarski D; Department of Sociology, Loyola University Chicago, Coffey Hall 440, 1032 W. Sheridan Rd, Chicago, IL, 60660, USA. dgarbarski@luc.edu.
  • Dykema J; University of Wisconsin Survey Center, University of Wisconsin-Madison, 475 N. Charter Street, Room 4308, Madison, WI, 53706, USA.
  • Croes KD; University of Wisconsin Survey Center, University of Wisconsin-Madison, 475 N. Charter Street, Room 4416, Madison, WI, 53706, USA.
  • Edwards DF; Departments of Kinesiology-Occupational Therapy Program, Neurology and Medicine, University of Wisconsin-Madison, 2170 Medical Science Center, 1300 University Avenue, Madison, WI, 53706-1532, USA.
BMC Public Health ; 17(1): 771, 2017 10 04.
Article em En | MEDLINE | ID: mdl-28978325
BACKGROUND: Self-rated health (SRH) is widely used to measure subjective health. Yet it is unclear what underlies health ratings, with implications for understanding the validity of SRH overall and across sociodemographic characteristics. We analyze participants' explanations of how they formulated their SRH answer in addition to which health factors they considered and examine group differences in these processes. METHODS: Cognitive interviews were conducted with 64 participants in a convenience quota sample crossing dimensions of race/ethnicity (white, Latino, black, American Indian), gender, age, and education. Participants rated their health then described their thoughts when answering SRH. We coded participants' answers in an inductive, iterative, and systematic process from interview transcripts, developing analytic categories (i.e., themes) and subdimensions within. We examined whether the presence of each dimension of an analytic category varied across sociodemographic groups. RESULTS: Our qualitative analysis led to the identification and classification of various subdimensions of the following analytic categories: types of health factors mentioned, valence of health factors, temporality of health factors, conditional health statements, and descriptions and definitions of health. We found differences across groups in some types of health factors mentioned-corresponding, conflicting, or novel with respect to prior research. Furthermore, we also documented various processes through which respondents integrate seemingly disparate health factors to formulate an answer through valence and conditional health statements. Finally, we found some evidence of sociodemographic group differences with respect to types of health factors mentioned, valence of health factors, and conditional health statements, highlighting avenues for future research. CONCLUSION: This study provides a description of how participants rate their general health status and highlights potential differences in these processes across sociodemographic groups, helping to provide a more comprehensive understanding of how SRH functions as a measure of health.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Hispânico ou Latino / Indígenas Norte-Americanos / População Branca / Autoavaliação Diagnóstica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Hispânico ou Latino / Indígenas Norte-Americanos / População Branca / Autoavaliação Diagnóstica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article