Sex differences in social support perceived by polymedicated older adults with multimorbidity. MULTIPAP study

The beneficial effects of social support on morbidity, mortality, and quality of life are well known. Using the baseline data of the MULTIPAP study (n = 593), an observational, descriptive, cross-sectional study was carried out that analyzed the sex differences in the social support perceived by pol...

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Detalles Bibliográficos
Autores: Lozano Hernández, Cristina María, López Rodríguez, Juan Antonio, Rico Blázquez, Milagros, Calderón Larrañaga, Amaia, Leiva Fernández, Francisca, Prados Torres, Alexandra, Cura González, Isabel del, MULTIPAP GROUP
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/45898
Acceso en línea:https://doi.org/10.1371/journal.pone.0268218
https://hdl.handle.net/10578/45898
Access Level:acceso abierto
Palabra clave:Duke-UNC-11
Education
Health-related quality of life
Multimorbidity
Older adults
Polymedicated
Quality of life
Sex differences
Social support
Treatment adherence
Descripción
Sumario:The beneficial effects of social support on morbidity, mortality, and quality of life are well known. Using the baseline data of the MULTIPAP study (n = 593), an observational, descriptive, cross-sectional study was carried out that analyzed the sex differences in the social support perceived by polymedicated adults aged 65 to 74 years with multimorbidity. The main outcome variable was social support measured through the Duke–UNC-11 Functional Social Support (DUFSS) questionnaire in its two dimensions (confident support and affective support). For both sexes, the perception of functional social support was correlated with being married or partnered and having a higher health-related quality of life utility index. In women, it was correlated with a higher level of education, living alone, and treatment adherence, and in men with higher monthly income, prescribed drugs and fewer diagnosed diseases.