Abstract

BackgroundTaking into account our rapidly ageing population, older people are of particular interest in studying health inequalities. Most studies of older persons only include measures of current socioeconomic status (SES) and do not take into account data from earlier stages of life. In addition, only classic SES measures are used, while alternative measures, such as car ownership and house ownership, might equally well predict health. The present study aims to examine the effect of midlife socioeconomic factors on mobility limitation and depressed mood three decades later.MethodsData were from 4,809 men and women aged 33–65 years who participated in the Reykjavik Study (1967–1992) and who were re-examined in old age in the Age, Gene/Environment Susceptibility (AGES) -Reykjavik Study (2002–2006).ResultsEducation and occupation predicted mobility limitation and depressed mood. Independently, home and car ownership and the availability of housing features predicted mobility limitation. Shortages of food in childhood and lack of a car in midlife predicted depressed mood.ConclusionSocioeconomic factors from midlife and from childhood affect mobility limitation and depressed mood in old age. Prevention of health problems in old age should begin as early as midlife.

Highlights

  • Taking into account our rapidly ageing population, older people are of particular interest in studying health inequalities

  • There is an emphasis on classic socioeconomic status (SES) measures, while evidence exists that alternative measures, such as car ownership and house ownership, well predict health [6,7,8]

  • Most socioeconomic factors were distributed in the expected direction (Table 1)

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Summary

Introduction

Taking into account our rapidly ageing population, older people are of particular interest in studying health inequalities. Only classic SES measures are used, while alternative measures, such as car ownership and house ownership, might well predict health. There is an emphasis on classic SES measures (i.e. education, occupation, and income), while evidence exists that alternative measures, such as car ownership and house ownership, well predict health [6,7,8]. These measures may affect health via several pathways [7,9,10], independent of the classic SES measures. Because the ownership of a car or a house might be status symbols, psychosocial pathways can not be excluded [12,13]

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