Who Self-medicates? Results from Structural Equation Modeling in the Greater Paris Area, France
Overview
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Objectives: Our study aimed to describe the prevalence of self-medication among the Paris adult population and to identify the factors associated with self-medication.
Materials And Methods: This cross-sectional study was based on data collected from the SIRS cohort (a French acronym for "Health, inequalities and social ruptures") in 2005 in the Paris metropolitan area using a face-to-face administration questionnaire among a representative sample of 3,023 French-speaking adults. Structural equation models were used to investigate the factors associated with self-medication in the overall population and according to income.
Results: The prevalence of self-medication in the past four weeks was 53.5% in the Paris metropolitan area. Seven factors were directly associated with self-medication in the structural equation model. Self-medication was found more common among women, young people, in active employment or student, with a high income, but also among people with a health information seeking behavior, with a high daily mobility, and/or with a history of unmet healthcare needs due to economic reasons. When looking at these coefficients according to income, the association between self-medication and daily mobility appeared stronger in the bottom quartile of income whereas it was no longer significant in the rest of the survey population.
Conclusion: Self-medication is a frequent practice in the Paris metropolitan area. This study confirms the role of some factors found to be associated with self-medication in the literature such as age or gender and draws attention to other factors rarely explored such as daily mobility, especially among people with a low income, or health information seeking behavior.
Pereira G, de Souza C, Ferracini A, Surita F, Eltonsy S, Mazzola P Rev Bras Ginecol Obstet. 2024; 46.
PMID: 39669310 PMC: 11637455. DOI: 10.61622/rbgo/2024rbgo77.
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Yeamans S, Gil-de-Miguel A, Hernandez-Barrera V, Carrasco-Garrido P Eur J Epidemiol. 2024; 39(9):977-990.
PMID: 39294527 PMC: 11470884. DOI: 10.1007/s10654-024-01153-1.
Lvovschi V, Carrouel F, du Sartz de Vigneulles B, Lamure M, Motyka G, Fraticelli L Int J Environ Res Public Health. 2022; 19(21).
PMID: 36360926 PMC: 9654407. DOI: 10.3390/ijerph192114044.
Tran A, Soullier N, Ankri J, Herr M, Carcaillon-Bentata L BMC Geriatr. 2022; 22(1):602.
PMID: 35858861 PMC: 9301842. DOI: 10.1186/s12877-022-03289-9.
Mallah N, Orsini N, Figueiras A, Takkouche B Antimicrob Resist Infect Control. 2022; 11(1):24.
PMID: 35115030 PMC: 8815169. DOI: 10.1186/s13756-022-01063-5.