Early predictors of impaired sleep: a study on life course socioeconomic conditions and sleeping problems in older adults

References

• Arber, S., Bote, M., & Meadows, R. (2009). Gender and socio-economic patterning of self-reported sleep problems in Britain. Social Science & Medicine, 68(2), 281–289.
   PubMed Web of Science ®Google Scholar
• Arber, S., & Meadows, R. (2011). Unen sosiologia: Hoiva, sukupuoli ja uniongelmat/Sociology of sleep: Caregiving, gender and sleep problems. Finnish Journal of Social Medicine, 48(2), 100–113.
   Google Scholar
• Aubert, V., & White, H. (1959). Sleep: A sociological interpretation. Acta Sociologica, 4(2), 46–54.
   Google Scholar
• Bagley, E. J., Kelly, R. J., Buckhalt, J. A., & El-Sheikh, M. (2015). What keeps low-SES children from sleeping well: The role of presleep worries and sleep environment. Sleep Medicine, 16(4), 496–502.
   PubMed Web of Science ®Google Scholar
• Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48.
   Web of Science ®Google Scholar
• Ben-Shlomo, Y., & Kuh, D. (2002). A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. International Journal of Epidemiology, 31(2), 285–293.
   PubMed Web of Science ®Google Scholar
• Boisgontier, M. P., & Cheval, B. (2016). The anova to mixed model transition. Neuroscience and Biobehavioral Reviews, 68, 1004–1005.
   PubMed Web of Science ®Google Scholar
• Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., … Zuber, S. (2013). Data resource profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology, 42(4), 992–1001.
   PubMed Web of Science ®Google Scholar
• Burgard, S. A., & Ailshire, J. A. (2009). Putting work to bed: Stressful experiences on the job and sleep quality. Journal of Health and Social Behavior, 50(4), 476–492.
   PubMed Web of Science ®Google Scholar
• Cappelleri, J. C., Bushmakin, A. G., McDermott, A. M., Sadosky, A. B., Petrie, C. D., & Martin, S. (2009). Psychometric properties of a single-item scale to assess sleep quality among individuals with fibromyalgia. Health and Quality of Life Outcomes, 7(1), 54.
   PubMed Web of Science ®Google Scholar
• Cheval, B., Boisgontier, M. P., Orsholits, D., Sieber, S., Guessous, I., Gabriel, R., … Cullati, S. (2018). Association of early- and adult-life socioeconomic circumstances with muscle strength in older age. Age and Ageing, 47(3), 398–407.
   PubMed Web of Science ®Google Scholar
• Cheval, B., Sieber, S., Guessous, I., Orsholits, D., Courvoisier, D. S., Kliegel, M., … Boisgontier, M. P. (2018). Effect of early- and adult-life socioeconomic circumstances on physical inactivity. Medicine & Science in Spots & Exercise, 50(3), 476–485.
   PubMed Web of Science ®Google Scholar
• Chittleborough, C. R., Baum, F. E., Taylor, A. W., & Hiller, J. E. (2006). A life-course approach to measuring socioeconomic position in population health surveillance systems. Journal of Epidemiology and Community Health, 60(11), 981–992.
   PubMed Web of Science ®Google Scholar
• Costa, D. L. (2000). From mill town to board room: The rise of women's paid labor. Journal of Economic Perspectives, 14(4), 101–122.
   Web of Science ®Google Scholar
• Dannefer, D. (2003). Cumulative advantage/disadvantage and the life course: Cross-fertilizing age and social science theory. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58(6), S327–S337.
   PubMed Web of Science ®Google Scholar
• Dedman, D. J., Gunnell, D., Smith, G. D., & Frankel, S. (2001). Childhood housing conditions and later mortality in the Boyd Orr cohort. Journal of Epidemiology & Community Health, 55(1), 10–15.
   PubMed Web of Science ®Google Scholar
• Dregan, A., & Armstrong, D. (2009). Age, cohort and period effects in the prevalence of sleep disturbances among older people: The impact of economic downturn. Social Science & Medicine, 69(10), 1432–1438.
   PubMed Web of Science ®Google Scholar
• Dregan, A., & Armstrong, D. (2011). Cross-country variation in sleep disturbance among working and older age groups: An analysis based on the European Social Survey. International Psychogeriatrics, 23(09), 1413–1420.
   PubMed Web of Science ®Google Scholar
• Dupre, M. E. (2007). Educational differences in age-related patterns of disease: Reconsidering the cumulative disadvantage and age-as-leveler hypotheses. Journal of Health and Social Behavior, 48(1), 1–15.
   PubMed Web of Science ®Google Scholar
• Dupre, M. E. (2008). Educational differences in health risks and illness over the life course: A test of cumulative disadvantage theory. Social Science Research, 37(4), 1253–1266.
   PubMed Web of Science ®Google Scholar
• Elder, G. H., & Johnson, M. K. (2003). The life course and aging: Challenges, lessons, and new directions. In R. A. Settersten, Jr. (Ed.), Invitation to the life course: Toward new understandings of later life. New York: Baywood Publishing Company, Incorporated.
   Google Scholar
• Evans, M. D. R., Kelley, J., Sikora, J., & Treiman, D. J. (2010). Family scholarly culture and educational success: Books and schooling in 27 nations. Research in Social Stratification and Mobility, 28(2), 171–197.
   Web of Science ®Google Scholar
• Fok, M., Stewart, R., Besset, A., Ritchie, K., & Prince, M. (2010). Incidence and persistence of sleep complaints in a community older population. International Journal of Geriatric Psychiatry, 25(1), 37–45.
   PubMed Web of Science ®Google Scholar
• Fry, C. L. (2003). The life course as a cultural construct. In R. A. Settersten, Jr. (Ed.), Invitation to the lifecourse: Toward new understandings of later life. New York: Baywood Publishing Company, Incorporated.
   Google Scholar
• George, L. K. (2007). Life course perspectives on social factors and mental illness. In W. Avison, J. McLeod, & B. Pescosolido (Eds.), Mental health, social mirror (pp. 191–218): Springer US.
   Google Scholar
• Grandner, M. A., Patel, N. P., Gehrman, P. R., Xie, D., Sha, D., Weaver, T., & Gooneratne, N. (2010). Who gets the best sleep? Ethnic and socioeconomic factors related to sleep complaints. Sleep Medicine, 11(5), 470–478.
   PubMed Web of Science ®Google Scholar
• Haaramo, P., Lallukka, T., Lahelma, E., Hublin, C., & Rahkonen, O. (2014). Insomnia symptoms and subsequent psychotropic medication: A register-linked study with 5-year follow-up. Social Psychiatry and Psychiatric Epidemiology, 49(12), 1993–2002.
   PubMed Web of Science ®Google Scholar
• Haas, S. (2008). Trajectories of functional health: The 'long arm' of childhood health and socioeconomic factors. Social Science & Medicine (1982), 66(4), 849–861.
   PubMed Web of Science ®Google Scholar
• Hale, L., Peppard, P. E., & Young, T. (2007). Does the demography of sleep contribute to health disparities? In D. Leger & S. R. Pandi-Perumal (Eds.), Sleep disorders: Their impact on public health (pp. 1–17). Oxon: CRC Press.
   Google Scholar
• Hamil-Luker, J., & O'Rand, A. M. (2007). Gender differences in the link between childhood socioeconomic conditions and heart attack risk in adulthood. Demography, 44(1), 137–158.
   PubMed Web of Science ®Google Scholar
• Hayward, M. D., & Gorman, B. K. (2004). The long arm of childhood: The influence of early-life social conditions on men's mortality. Demography, 41(1), 87–107.
   PubMed Web of Science ®Google Scholar
• Hislop, J., Arber, S., Meadows, R., & Venn, S. (2005). Narratives of the night: The use of audio diaries in researching sleep. Sociological Research Online, 10(4), 1.
   Web of Science ®Google Scholar
• Khlat, M., Jusot, F., & Ville, I. (2009). Social origins, early hardship and obesity: A strong association in women, but not in men?. Social Science & Medicine, 68(9), 1692–1699.
   PubMed Web of Science ®Google Scholar
• Klevmarken, A., Swensson, B., & Hesselius, P. (2005). The SHARE sampling procedures and calibrated design weights. In A. Börsch-Supan & H. Jürges (Eds.), The Survey of Health Ageing and Retirement in Europe: Methodology (pp. 28–69). Mannheim: Mannheim Research Institute for the Economics of Aging.
   Google Scholar
• Knutson, K. L. (2013). Sociodemographic and cultural determinants of sleep deficiency: Implications for cardiometabolic disease risk. Social Science & Medicine, 79(0), 7–15.
   PubMed Web of Science ®Google Scholar
• Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2016). ImerTest: Tests in Linear Mixed Effects Models. R package version 2.0-33. Retrieved from https://CRAN.R-project.org/package=lmerTest
   Google Scholar
• Lacey, R. J., Belcher, J., & Croft, P. R. (2012). Validity of two simple measures for estimating life-course socio-economic position in cross-sectional postal survey data in an older population: results from the North Staffordshire Osteoarthritis Project (NorStOP). BMC Medical Research Methodology, 12(1), 88.
   PubMed Web of Science ®Google Scholar
• Lallukka, T., Sares-Jäske, L., Kronholm, E., Sääksjärvi, K., Lundqvist, A., Partonen, T., … , Knekt, P. (2012). Sociodemographic and socioeconomic differences in sleep duration and insomnia-related symptoms in Finnish adults. BMC Public Health, 12(1), 565.
   PubMed Web of Science ®Google Scholar
• Marsh, A., Gordon, D., Pantazis, C., & Heslop, P. (1999). Home sweet home? The impact of poor housing on health. Bristol: The Policy Press.
   Google Scholar
• Maty, S. C., Lynch, J. W., Raghunathan, T. E., & Kaplan, G. A. (2008). Childhood socioeconomic position, gender, adult body mass index, and incidence of type 2 diabetes mellitus over 34 years in the Alameda County Study. American Journal of Public Health, 98(8), 1486–1494.
   PubMed Web of Science ®Google Scholar
• Mirowsky, J., & Ross, C. E. (1992). Age and depression. Journal of Health and Social Behavior, 33(3), 187–205.
   PubMed Web of Science ®Google Scholar
• Mood, C. (2010). Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review, 26(1), 67–82.
   Web of Science ®Google Scholar
• Morin, C. M., & Jarrin, D. C. (2013). Epidemiology of insomnia: Prevalence, course, risk factors, and public health burden. Sleep Medicine Clinics, 8(3), 281–297.
   Google Scholar
• Morlock, R. J., Tan, M., & Mitchell, D. Y. (2006). Patient characteristics and patterns of drug use for sleep complaints in the United States: Analysis of national ambulatory medical survey data, 1997–2002. Clinical Therapeutics, 28(7), 1044–1053.
   PubMed Web of Science ®Google Scholar
• Perales, F., & Plage, S. (2017). Losing ground, losing sleep: Local economic conditions, economic vulnerability, and sleep. Social Science Research, 62, 189–203.
   PubMed Web of Science ®Google Scholar
• Poulton, R., Caspi, A., Milne, B. J., Thomson, W. M., Taylor, A., Sears, M. R., & Moffitt, T. E. (2002). Association between children's experience of socioeconomic disadvantage and adult health: A life-course study. The Lancet, 360(9346), 1640–1645.
   PubMed Web of Science ®Google Scholar
• Prince, M. J., Reischies, F., Beekman, A. T. F., Fuhrer, R., Jonker, C., Kivela, S.-L. … Copeland, J. R. M. (1999). Development of the EURO-D scale – A European Union initiative to compare symptoms of depression in 14 European Centres. British Journal of Psychiatry, 174(04), 330–338.
   PubMed Web of Science ®Google Scholar
• R Core Team (2017). R: A language and environment for statistical computing. Retrieved from https://www.R-project.org/
   Google Scholar
• Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (Vol.1). Thousand Oaks, CA: Sage.
   Google Scholar
• Schröder, M. (Ed.) (2011). Retrospective Data Collection in the Survey of Health, Ageing and Retirement in Europe. SHARELIFE Methodology. Mannheim: Mannheim Research Institute for the Economics of Ageing.
   Google Scholar
• Schwartz, B. (1970). Notes on the sociology of sleep. The Sociological Quarterly, 11(4), 485–499.
   Web of Science ®Google Scholar
• Unruh, M. L., Redline, S., An, M.-W., Buysse, D. J., Nieto, F. J., Yeh, J.-L., & Newman, A. B. (2008). Subjective and objective sleep quality and aging in the Sleep Heart Health Study. Journal of the American Geriatrics Society, 56(7), 1218–1227.
   PubMed Web of Science ®Google Scholar
• van de Straat, V., & Bracke, P. (2015). How well does Europe sleep? A cross-national study of sleep problems in European older adults. International Journal of Public Health, 60(6), 643–650.
   PubMed Web of Science ®Google Scholar
• van den Berg, J. F., Miedema, H. M. E., Tulen, J. H. M., Hofman, A., Neven, A. K., & Tiemeier, H. (2009). Sex differences in subjective and actigraphic sleep measures: A population-based study of elderly persons. Sleep, 32(10), 1367–1375.
   PubMed Web of Science ®Google Scholar
• Wahrendorf, M., & Blane, D. (2015). Does labour market disadvantage help to explain why childhood circumstances are related to quality of life at older ages? Results from SHARE. Aging & Mental Health, 19(7), 584–594.
   PubMed Web of Science ®Google Scholar
• Wahrendorf, M., Blane, D., Bartley, M., Dragano, N., & Siegrist, J. (2013). Working conditions in mid-life and mental health in older ages. Advances in Life Course Research, 18(1), 16–25.
   PubMed Web of Science ®Google Scholar
• Williams, S. J. (2003). Liminal bodies: Sleep, death and dying. In S. J. Williams, L. Birke, & G. A. Bendelow (Eds.), Debating biology: Sociological reflections on health, medicine and society. London: Routledge.
   Google Scholar
• Williams, S. J. (2007). Vulnerable/dangerous bodies? The trials and tribulations of sleep. The Sociological Review, 55(1_suppl), 142–155.
   Web of Science ®Google Scholar
• Willson, A. E., Shuey, K. M., & Elder G. H. (2007). Cumulative advantage processes as mechanisms of inequality in life course health. American Journal of Sociology, 112(6), 1886–1924.
   Web of Science ®Google Scholar