Your browser doesn't support javascript.
loading
Inequalities in health-related quality of life according to age, gender, educational level, social class, body mass index and chronic diseases using the Spanish value set for Euroquol 5D-5L questionnaire.
Arrospide, Arantzazu; Machón, Mónica; Ramos-Goñi, Juan M; Ibarrondo, Oliver; Mar, Javier.
Afiliación
  • Arrospide A; Unidad de Investigación AP-OSIs Gipuzkoa, Hospital Alto Deba, Avda Navarra 16, Arrasate-Mondragón, 20500, Gipuzkoa, Spain. arantzazu.arrospideelgarresta@osakidetza.eus.
  • Machón M; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Bilbao, Spain. arantzazu.arrospideelgarresta@osakidetza.eus.
  • Ramos-Goñi JM; Instituto de Investigación Sanitaria Biodonostia, San Sebastián, Spain. arantzazu.arrospideelgarresta@osakidetza.eus.
  • Ibarrondo O; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Bilbao, Spain.
  • Mar J; Instituto de Investigación Sanitaria Biodonostia, San Sebastián, Spain.
Health Qual Life Outcomes ; 17(1): 69, 2019 Apr 18.
Article en En | MEDLINE | ID: mdl-30999899
ABSTRACT

BACKGROUND:

Reducing health inequalities on the basis of social factors has been a key driver in the development of Public Health policies. Health-related quality of life is a global indicator useful to assess health inequalities within a society. The objective of this study was to identify inequalities on health by analysing the interactive effects of gender, age, educational level, social class, body mass index and chronic diseases on health-related quality of life in a Spanish population sample.

METHODS:

We used data from the Spanish National Health Survey 2011-2012. Health-related quality of life was measured by the EQ-5D-5L instrument applying the Spanish value set. Probability of being in perfect health was ascertained by logistic regression models including gender, age, educational level, body mass index and social class and the corresponding terms of interaction. A two-part model combining logistic regression analysis and generalized linear models was applied to calculate the adjusted utility loss associated with chronic conditions (disutility values).

RESULTS:

The sample used for analysis contained 18,450 individuals. The mean age was 50 years, 51.3% were women, 55% were overweight or obese and 46.7% had low social status. The mean utility was 0.94 in men and 0.89 in women. Elderly women, obese people, those of low social class and those with chronic conditions had significant lower utility values. Within the regression analysis, interaction assessment revealed that the detrimental effect of obesity disappeared in higher social classes. Utility values for all chronic conditions considered were lower in women than in men and were on a gradient within social class, the lowest for individuals declaring stroke. The greatest decrease on health-related quality of life was determined by declaration of stroke (17.6%) or mental diseases (18.6%).

CONCLUSIONS:

The interactive effects of gender, age, educational level, social class, body mass index and chronic diseases on health-related quality of life in the Spanish population revealed important inequalities in health. Social class acted as a modulator of the stigma associated with obesity. Chronic conditions producing loss of autonomy had the greatest impact on reduction of health-related quality of life. This is the first study using the Spanish EQ-5D-5L value set to estimate utilities.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Calidad de Vida / Clase Social / Disparidades en el Estado de Salud / Obesidad Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Calidad de Vida / Clase Social / Disparidades en el Estado de Salud / Obesidad Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Año: 2019 Tipo del documento: Article