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Socioeconomic inequalities in physical and mental functioning of British, Finnish, and Japanese civil servants: Role of job demand, control, and work hours

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  • Sekine, Michikazu
  • Chandola, Tarani
  • Martikainen, Pekka
  • Marmot, Michael
  • Kagamimori, Sadanobu

Abstract

This study aims to evaluate whether the pattern of socioeconomic inequalities in physical and mental functioning as measured by the Short Form 36 (SF-36) differs among employees in Britain, Finland, and Japan and whether work characteristics contribute to some of the health inequalities. The participants were 7340 (5122 men and 2218 women) British employees, 2297 (1638 men and 659 women) Japanese employees, and 8164 (1649 men and 6515 women) Finnish employees. All the participants were civil servants aged 40-60 years. Both male and female low grade employees had poor physical functioning in all cohorts. British and Japanese male low grade employees tended to have poor mental functioning but the associations were significant only for Japanese men. No consistent employment-grade differences in mental functioning were observed among British and Japanese women. Among Finnish men and women, high grade employees had poor mental functioning. In all cohorts, high grade employees had high control, high demands and long work hours. The grade differences in poor physical functioning and disadvantaged work characteristics among non-manual workers were somewhat smaller in the Finnish cohort than in the British and Japanese cohorts. Low control, high demands, and both short and long work hours were associated with poor functioning. When work characteristics were adjusted for, the socioeconomic differences in poor functioning were mildly attenuated in men, but the differences increased slightly in women. This study reconfirms the generally observed pattern of socioeconomic inequalities in health for physical functioning but not for mental functioning. The role of work characteristics in the relationship between socioeconomic status and health differed between men and women but was modest overall. We suggest that these differences in the pattern and magnitude of grade differences in work characteristics and health among the 3 cohorts may be attributable to the different welfare regimes among the 3 countries.

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  • Sekine, Michikazu & Chandola, Tarani & Martikainen, Pekka & Marmot, Michael & Kagamimori, Sadanobu, 2009. "Socioeconomic inequalities in physical and mental functioning of British, Finnish, and Japanese civil servants: Role of job demand, control, and work hours," Social Science & Medicine, Elsevier, vol. 69(10), pages 1417-1425, November.
  • Handle: RePEc:eee:socmed:v:69:y:2009:i:10:p:1417-1425
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    References listed on IDEAS

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    1. Hemingway, H. & Nicholson, A. & Stafford, M. & Roberts, R. & Marmot, M., 1997. "The impact of socioeconomic status on health functioning as assessed by the SF-36 questionnaire: The Whitehall II study," American Journal of Public Health, American Public Health Association, vol. 87(9), pages 1484-1490.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
    4. Lallukka, Tea & Lahelma, Eero & Rahkonen, Ossi & Roos, Eva & Laaksonen, Elina & Martikainen, Pekka & Head, Jenny & Brunner, Eric & Mosdol, Annhild & Marmot, Michael & Sekine, Michikazu & Nasermoaddeli, 2008. "Associations of job strain and working overtime with adverse health behaviors and obesity: Evidence from the Whitehall II Study, Helsinki Health Study, and the Japanese Civil Servants Study," Social Science & Medicine, Elsevier, vol. 66(8), pages 1681-1698, April.
    5. Fabrice Etilé & Carine Milcent, 2006. "Income‐related reporting heterogeneity in self‐assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981, September.
    6. Sekine, Michikazu & Chandola, Tarani & Martikainen, Pekka & Marmot, Michael & Kagamimori, Sadanobu, 2006. "Socioeconomic inequalities in physical and mental functioning of Japanese civil servants: Explanations from work and family characteristics," Social Science & Medicine, Elsevier, vol. 63(2), pages 430-445, July.
    7. Martikainen, Pekka & Lahelma, Eero & Marmot, Michael & Sekine, Michikazu & Nishi, Nobuo & Kagamimori, Sadanobu, 2004. "A comparison of socioeconomic differences in physical functioning and perceived health among male and female employees in Britain, Finland and Japan," Social Science & Medicine, Elsevier, vol. 59(6), pages 1287-1295, September.
    8. Lahelma, Eero & Laaksonen, Mikko & Martikainen, Pekka & Rahkonen, Ossi & Sarlio-Lähteenkorva, Sirpa, 2006. "Multiple measures of socioeconomic circumstances and common mental disorders," Social Science & Medicine, Elsevier, vol. 63(5), pages 1383-1399, September.
    9. Chandola, Tarani & Bartley, Mel & Sacker, Amanda & Jenkinson, Crispin & Marmot, Michael, 2003. "Health selection in the Whitehall II study, UK," Social Science & Medicine, Elsevier, vol. 56(10), pages 2059-2072, May.
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    5. Nakamura, Sayaka, 2014. "Parental income and child health in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 32(C), pages 42-55.
    6. Peiyi Lu & Ying Liang, 2016. "Health-Related Quality of Life of Young Chinese Civil Servants Working in Local Government: Comparison of SF-12 and EQ5D," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1445-1464, December.
    7. Nishikitani, Mariko & Tsurugano, Shinobu & Inoue, Mariko & Yano, Eiji, 2012. "Effect of unequal employment status on workers’ health: Results from a Japanese national survey," Social Science & Medicine, Elsevier, vol. 75(3), pages 439-451.
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