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Socioeconomic inequality in health-related behaviors: a lifestyle approach

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  • Valeria Glorioso
  • Maurizio Pisati

Abstract

The adoption of certain behaviors—like smoking or physical activity—is recognized as a major factor affecting health. Analyzing the social determinants of these behaviors, then, should be considered an important goal, since it may improve our understanding of the more general phenomenon of health inequalities. In this paper we analyze the association between socioeconomic status (SES) and health-related behaviors among the Italian population aged 18–74 in 2004/2005. Using large-scale sample survey data and a Weberian lifestyle approach, we first identify an ordered multidimensional space of health-related behaviors, and partition this space into a meaningful set of discrete regions representing a fine-grained taxonomy of health lifestyles. Then, we use regression analysis to determine if, and to what extent, the identified lifestyles are associated with SES. Using level of education as an indicator of SES, we find that the propensity to adopt healthier lifestyles exhibits a positive educational gradient, whereas the probability of following less healthy lifestyles is inversely associated with the level of education. We conclude that, in general, focusing on health lifestyles—i.e., on combinations of multiple health-related behaviors—instead of single behaviors may lead to a better understanding of health-related practices and their relationship with socioeconomic status. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Valeria Glorioso & Maurizio Pisati, 2014. "Socioeconomic inequality in health-related behaviors: a lifestyle approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2859-2879, September.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:5:p:2859-2879
    DOI: 10.1007/s11135-013-9929-y
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    References listed on IDEAS

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    2. Jiao Lu & Yang Yang & Yang Gao, 2024. "Research on the Spatial and Temporal Patterns and Formation Mechanisms of Intergenerational Health Mobility in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 709-740, July.

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