Education, material condition and physical functioning trajectories in middle-aged and older adults in Central and Eastern Europe: a cross-country comparison

. 2016 Nov ; 70 (11) : 1128-1135. [epub] 20160518

Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic

Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem, Research Support, N.I.H., Extramural

Perzistentní odkaz   https://www.medvik.cz/link/pmid27194710

Grantová podpora
G19/35 Medical Research Council - United Kingdom
G0100222 Medical Research Council - United Kingdom
G0701830 Medical Research Council - United Kingdom
Wellcome Trust - United Kingdom
G0601647 Medical Research Council - United Kingdom
G8802774 Medical Research Council - United Kingdom
G0902037 Medical Research Council - United Kingdom
R01 AG023522 NIA NIH HHS - United States
G1000616 Medical Research Council - United Kingdom
081081/Z/06/Z Wellcome Trust - United Kingdom
RG/07/008/23674 British Heart Foundation - United Kingdom

BACKGROUND: Two competing hypotheses, cumulative advantage/disadvantage and age-as-leveller, have been proposed to explain the contradictory findings on socioeconomic differences in health over the lifespan. To test these hypotheses, this investigation examined the influence of educational attainment and material condition on individual trajectories of physical functioning (PF) in unexplored ageing populations in Central and Eastern Europe. METHODS: 28 783 men and women aged 45-69 years selected from populations in seven Czech towns, Krakow (Poland) and Novosibirsk (Russia). PF was measured by the Physical Functioning Subscale (PF-10) of the Short-Form-36 questionnaire (SF-36) at baseline and three subsequent occasions. The highest educational attainment was self-reported at baseline, and material condition was captured by the sum score of 12 household amenities and assets. RESULTS: In all cohorts, participants with a university degree had the highest PF-10 score at baseline and slowest rate of decline in the score during follow-up, while the lowest baseline scores and fastest decline rate were found in participants with less than secondary education in all cohorts and in Russians with secondary education. Similar disparities in the baseline PF-10 score and decline rate were observed across tertiles of material condition, but differences in decline rates across the three tertiles among Czechs or between the lower two tertiles among Russians were not statistically significant. CONCLUSIONS: Disparities in PF by educational attainment and material condition among middle-aged and older adults in Central and Eastern Europe existed at baseline and widened during ∼10 years of follow-up, supporting the cumulative advantage/disadvantage hypothesis.

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