PLoS ONE · 2018 · 16 citations · 32 references
Public HealthHealth SciencesBehavioral EpidemiologyPopulation HealthSocial Determinants Of HealthHealth BeliefsHealth Status MeasurementSocial EpidemiologySocioeconomic Determinants Of HealthAlternative MedicineCam SystemsComplementary MedicineConceptual Framework AlignmentGeneralized Linear Model TheoryHealth DeterminantsHealth Status IndicesHealthcare Systems Evaluation
This study aims to use the conceptual framework of social determinants of health (SDH) to elucidate the social determinants that affect the use of complementary and alternative medicine (CAM) from the perspectives of both intermediary and structural determinants. Data were derived from a survey mailed to 1,500 randomly selected residents (20-69 years old; May-July 2009) of Sendai city in Japan. A generalized linear model was used in the analysis, with CAM use over the past one month as the dependent variable, SDH structural and intermediary determinants as independent variables, and demographic characteristics, indicators of health status, and the evaluation of health or healthcare systems as control variables. The prevalence of CAM usage was 62.1%. The generalized linear model showed that middle subjective social status (OR = 1.47; 95% CI: 1.04-2.07) as structural determinants was significantly associated with CAM usage. Adding the intermediary determinants, the same effect was observed. When demographic characteristics, indicators of health status, and the evaluation of health or healthcare systems were introduced as control variables, the associations of the structural determinants disappeared, revealing that hope (OR = 1.25; 95%CI: 1.04-1.50) as intermediary determinants was associated with the use of CAM. Female sex (OR = 1.47; 95% CI: 1.02-2.12) and health anxiety (OR = 1.68; 95% CI: 1.20-2.34) were associated with CAM usage. We found that intermediary rather than structural determinants were associated with CAM usage. Hope as an intermediary determinant was particularly associated with CAM usage.
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R: A Language and Environment for Statistical Computing
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