L'estat de salut de les persones de 50 i més anys segons les dimensions del municipi de residència
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Background: The towns and cities where we live form part of our immediate
environment, one of a principle determinants of people's health. In Catalonia there are
947 municipalities, however 77,82% of these have only 5,000 inhabitants or less.
The comparisons between towns and cities -between small and large municipalities-
has been a constant throughout history, but it's important to keep in mind that in recent
years, social, economic and technological changes have changed the reality, especially
for small municipalities. Knowing how social determinants of health affect the health of
inhabitants of different sized municipalities is an opportunity to clarify the differences
and reorient policies if necessary.
Goals: To determine the degree of association between socioeconomic determinants
of health and the well-being of people over 50 in the province of Girona according to
the size of the municipality.
Methods: A descriptive, transversal and observational study of a population sample of
3,311 inhabitants from 28 municipalities in the province of Girona that participated in
the 2013 study: Maturity and Satisfactory Aging in Girona ("MESGI50"). The
socioeconomic determinants of health (age, gender, educational level and economic
income) and various health status indicators (lifestyle, physical health and emotional
well-being) were evaluated using standardized instruments. The relationship between
the determinants and the health indicators was analysed using multivariate binary
logistics regression models stratified according to the size of the municipalities (less
than 1,000 inhabitants, between 1,000 and 5,000, and more than 5,000).
Results: The socioeconomic determinants of health were not associated in a uniform
way with all the health indicators. Regardless of the size of the municipality gender was
mainly associated with obesity and loneliness; age with physical inactivity and self-
perceived health; and educational level and economic income with indicators of
emotional well-being. Large municipalities presented a greater number of health
indicators linked to the determinants of age and economic income.
Small and medium municipalities are associated with a lower number of health
indicators (19 in both cases) and are distributed more irregularly according to
determinants.
Conclusions: The effect of socioeconomic determinants on the health of people is
confirmed, but the degree of association varies according to the size of the
municipalities and the indicator of health that is observed. The specific health
differences observed between municipalities of different dimensions suggest a high
degree of homogenization of the health of the population
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