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Theme 1: - Lifecourse and Health

from Section 1 - Psychological Aspects of Health and Illness

Published online by Cambridge University Press:  05 June 2019

Edited by
Carrie D. Llewellyn ,
Susan Ayers ,
Chris McManus ,
Stanton Newman ,
Keith J. Petrie ,
Tracey A. Revenson  and
John Weinman
Carrie D. Llewellyn
Affiliation:
University of Sussex
Susan Ayers
Affiliation:
City, University of London
Chris McManus
Affiliation:
University College London
Stanton Newman
Affiliation:
City, University of London
Keith J. Petrie
Affiliation:
University of Auckland
Tracey A. Revenson
Affiliation:
City University of New York
John Weinman
Affiliation:
King's College London
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Cambridge Handbook of Psychology, Health and Medicine , pp. 3 - 15
Publisher: Cambridge University Press
Print publication year: 2019

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References

References

Appleton, A. A., Buka, S. L., McCormick, , et al. (2011). Emotional functioning at age 7 years is associated with C-reactive protein in middle adulthood. Psychosomatic Medicine, 73, 295–303.CrossRefGoogle ScholarPubMed
Ashman, S. B., Dawson, G., Panagiotides, H., et al. (2002). Stress hormone levels of children of depressed mothers. Development and Psychopathology, 14, 333–349.CrossRefGoogle ScholarPubMed
Belsky, J. Bakermanns-Kranenburg, M. J. & van Ijzendiirn, M. H. (2007). For better and worse: differential susceptibility to environmental influences. Current Directions in Psychological Science, 16, 300–304.CrossRefGoogle Scholar
Bibace, R., Schmidt, L. R. & Walsh, M. E. (1994). Children’s perceptions of illness. In Penny, G. N., Bennett, P. & Herbert, M. (eds), Health Psychology: A Lifespan Perspective (pp. 13–30). London: Harwood.Google Scholar
Center on the Developing Child, Harvard University (n.d.). Toxic stress. Retrieved from http://developingchild.harvard.edu/science/key-concepts/toxic-stress.Google Scholar
Cheetham, T. J., Turner-Cobb, J. M. & Gamble, T. (2016). Children’s implicit understanding of the stress-illness link: testing development of health cognitions. British Journal of Health Psychology, 21, 781–795.CrossRefGoogle ScholarPubMed
Chen, E., Miller, G. E., Lachman, M. E., Gruenewald, T. L. & Seeman, T. E. (2012). Protective factors for adults from low-childhood socioeconomic circumstances: the benefits of shift-and-persist for allostatic load. Psychosomatic Medicine, 74, 178–186.CrossRefGoogle ScholarPubMed
Chryssanthopoulou, C. C., Turner-Cobb, J. M., Lucas, A. et al. (2005). Childcare as a stabilizing influence on HPA axis functioning: a reevaluation of maternal occupational patterns and familial relations. Developmental Psychobiology, 47, 354–368.CrossRefGoogle ScholarPubMed
Crisp, J., Ungerer, J. A. & Goodnow, J. J. (1996). The impact of experience on children’s understanding of illness. Journal of Pediatric Psychology, 21(1), 57–72.Google Scholar
Dettling, A. C., Parker, S. W., Lane, S. et al. (2000). Quality of care and temperament determine changes in cortisol concentrations over the day for young children in childcare. Psychoneuroendocrinology, 25, 819–836.Google Scholar
Ellis, B. & Boyce, W. (2008). Biological sensitivity to context. Current Directions in Psychological Science, 17, 183–187.CrossRefGoogle Scholar
Evans, G. W. & Kim, P. (2012). Childhood poverty and young adults’ allostatic load: the mediating role of childhood cumulative risk exposure. Psychological Science, 23, 979–983.Google Scholar
Guardino, C. M., Dunkel Shetter, C., Saxby, D. E. et al. (2016). Diurnal salivary cortisol patterns prior to pregnancy predict infant birth weight. Health Psychology, 35, 625–633.CrossRefGoogle ScholarPubMed
Gunnar, M. & Quevedo, K. (2007). The neurobiology of stress and development. Annual Review of Psychology, 58, 145–173.CrossRefGoogle ScholarPubMed
Halligan, S. L., Herbert, J., Goodyer, I. M., et al. (2004). Exposure to postnatal depression predicts elevated cortisol in adolescent offspring. Biological Psychiatry, 55, 376–381.Google Scholar
Heim, C., Ehlert, U. & Hellhammer, D. H. (2000). The potential role of hypocortisolism in the pathophysiology of stress-related bodily disorders. Psychoneuroendocrinology, 25, 1–35.CrossRefGoogle ScholarPubMed
Hergenrather, J. R. & Rabinowitz, M. (1991). Age-related differences in the organization of children’s knowledge of illness. Developmental Psychology, 27, 952–959.Google Scholar
Hertzman, C. (1999). The biological embedding of early experience and its effects on health in adulthood. Annals of the New York Academy of Sciences, 896, 85–95.Google Scholar
Jansen, J., Beijers, R., Riksen-Walraven, M., et al. (2010). Cortisol reactivity in young infants. Psychoneuroendocrinology, 35, 329–338.Google Scholar
Kiecolt-Glaser, J. K., Gouin, J. P., Weng, N. P., et al. (2011). Childhood adversity heightens the impact of later-life caregiving stress on telomere length and inflammation. Psychosomatic Medicine, 73, 16–22.Google Scholar
Lazarus, R. S. & Folkman, S. (1984). Stress, Appraisal and Coping. New York: Springer.Google Scholar
Lupien, S., King, S., Meaney, M. J., et al. (2001). Can poverty get under your skin? Basal cortisol levels and cognitive function in children from low and high socioeconomic status. Development and Psychopathology, 13, 653–676.Google Scholar
Lupien, S. J., McEwen, B. S., Gunnar, M. R., et al. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience, 10, 434–445.Google Scholar
Marin, T. J., Chen, E., Munch, J. A. & Miller, G. E. (2009). Double-exposure to acute stress and chronic family stress is associated with immune changes in children with asthma. Psychosomatic Medicine, 71, 378–384.CrossRefGoogle ScholarPubMed
Mastorakos, G. & Ilias, I. (2000). Maternal hypothalamic–pituitary–adrenal axis in pregnancy and the postpartum period: postpartum-related disorders. Annals of the New York Academy of Sciences, 900, 95–106.CrossRefGoogle ScholarPubMed
McEwen, B. S. (1998). Protective and damaging effects of stress mediators. New England Journal of Medicine, 338, 171–179.Google Scholar
Merlot, E., Couret, D. & Otten, W. (2008). Prenatal stress, fetal imprinting and immunity. Brain Behavior & Immunity, 22, 42–51.CrossRefGoogle ScholarPubMed
Michaud, K., Matheson, K., Kelly, O. & Anisman, H. (2008). Impact of stressors in a natural context on release of cortisol in healthy adult humans: a meta-analysis. Stress, 11, 177–197.Google Scholar
Miller, G. E., Chen, E. & Zhou, E. S. (2007). If it goes up, must it come down? Chronic stress and the hypothalamic–pituitary–adrenocortical axis in humans. Psychological Bulletin, 133, 25–45.CrossRefGoogle ScholarPubMed
Nicolson, N. A., Davis, M. C., Kruszewski, D. & Zautra, A. J. (2010). Childhood maltreatment and diurnal cortisol patterns in women with chronic pain. Psychosomatic Medicine, 72, 471–480.CrossRefGoogle ScholarPubMed
Normandeau, S., Wins, I., Jutras, S., et al., (1998). A description of 5- to 12-year old children’s conception of health within the context of their daily life. Psychology & Health, 13, 883–896.CrossRefGoogle Scholar
O’Donnell, K., O’Connor, T. G. & Glover, V. (2009). Prenatal stress and neurodevelopment of the child: focus on the HPA axis and role of the placenta. Developmental Neuroscience, 31, 285–292.CrossRefGoogle ScholarPubMed
Roy, A., Janal, M. N. & Roy, M. (2010). Childhood trauma and prevalence of cardiovascular disease in patients with type 1 diabetes. Psychosomatic Medicine, 72, 833–838.Google Scholar
Shirtcliff, E. A., Coe, C. L. & Pollak, S. D. (2009). Early childhood stress is associated with elevated antibody levels to herpes simplex virus type 1. Proceedings of the National Academy of Sciences of the United States Of America, 106, 2963–2967.Google Scholar
Slopen, N., Lewis, T. T., Gruenewald, T. L., et al. (2010). Early life adversity and inflammation in African Americans and whites in the midlife in the United States survey. Psychosomatic Medicine, 72, 694–701.Google Scholar
Spitzer, C., Bouchain, M., Winkler, L. Y., et al. (2012). Childhood trauma in multiple sclerosis: a case-control study. Psychosomatic Medicine, 74, 312–318.CrossRefGoogle ScholarPubMed
Sterling, P. & Eyer, J. (1988). Allostasis: a new paradigm to explain arousal pathology. In Fisher, S. & Reason, J. (eds), Handbook of Life Stress, Cognition and Health (pp. 629–649). New York: Wiley.Google Scholar
Turner-Cobb, J. M. (2014). Child Health Psychology. London: Sage.Google Scholar
Turner-Cobb, J. M., Rixon, L. & Jessop, D. S. (2008). A prospective study of diurnal cortisol responses to the social experience of school transition in four-year-old children: anticipation, exposure, and adaptation. Developmental Psychobiology, 50, 377–389.CrossRefGoogle Scholar
Turner-Cobb, J. M., Rixon, L. & Jessop, D. S. (2011). Hypothalamic–pituitary–adrenal axis activity and upper respiratory tract infection in young children transitioning to primary school. Psychopharmacology (Berl), 214, 309–317.Google Scholar
Van den Bergh, B. R., Mulder, E. J., Mennes, M., & Glover, V. (2005). Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child: links and possible mechanisms. A review. Neuroscience and Biobehavioral Reviews, 29, 237–258.CrossRefGoogle ScholarPubMed
Vermeer, H. J., van Ijzendoorn, M. H., Groeneveld, M. G., et al. (2012). Downregulation of the immune system in low-quality child care: the case of secretory immunoglobulin A (SIgA) in toddlers. Physiology and Behavior, 105, 161–167.CrossRefGoogle ScholarPubMed
Wegman, H. L. & Stetler, C. (2009). A meta-analytic review of the effects of childhood abuse on medical outcomes in adulthood. Psychosomatic Medicine, 71, 805–812.CrossRefGoogle ScholarPubMed
Wolf, J. M., Miller, G. E. & Chen, E. (2008). Parent psychological states predict changes in inflammatory markers in children with asthma and healthy children. Brain, Behavior & Immunity, 22, 433–441.CrossRefGoogle ScholarPubMed
Yim, I. S., Quas, J. A., Cahill, L., et al. (2010). Children’s and adults’ salivary cortisol responses to an identical psychosocial laboratory stressor. Psychoneuroendocrinology, 35, 241–248.Google Scholar

References

Boscarino, J. A. (2008). A prospective study of PTSD and early-age heart disease mortality among Vietnam veterans: Implications for surveillance and prevention. Psychosomatic Medicine, 70, 668–676.Google Scholar
Butler, R. N. (2002). The life review. Journal of Geriatric Psychiatry, 35, 7–10.Google Scholar
Elder, G. H. (1998). The lifecourse as developmental theory. Child Development, 69, 1–12.Google Scholar
Engelfriet, P. M., Jansen, E. H. J. M., Picavet, H. S. J. & Dollé, M. E. T. (2013). Biochemical markers of aging for longitudinal studies in humans. Epidemiologic Reviews, 35, 132–151.Google Scholar
Erikson, E. H. (1982). The Life Cycle Completed: A Review. New York: Norton.Google Scholar
Kubzansky, L. D., Koenen, K. C., Spiro, A., Vokonas, P. S. & Sparrow, D. (2007). Prospective study of posttraumatic stress disorder symptoms and coronary heart disease in the Normative Aging Study. Archives of General Psychiatry, 64, 109–116.CrossRefGoogle ScholarPubMed
Ogle, C. M., Rubin, D. C. & Siegler, I. C. (2013a). The impact of the developmental timing of trauma exposure on PTSD symptoms and psychosocial functioning among older adults. Developmental Psychology, 49, 2191–2200.Google Scholar
Ogle, C. M., Rubin, D. C., Berntsen, D. & Siegler, I. C. (2013b). The frequency and impact of exposure to potentially traumatic events over the life course. Clinical Psychological Science, 1, 426–434.CrossRefGoogle ScholarPubMed
Ogle, C. M., Rubin, D. C. & Siegler, I. C. (2014a). Cumulative exposure to traumatic events in older adults. Aging & Mental Health, 18, 316–325.CrossRefGoogle ScholarPubMed
Ogle, C. M., Rubin, D. C. & Siegler, I. C. (2014b). Changes in neuroticism following trauma exposure. Journal of Personality, 82, 93–102.Google Scholar
Ogle, C. M., Rubin, D. C. & Siegler, I. C. (2015). The relation between insecure attachment and posttraumatic stress: Early life versus adulthood traumas. Psychological Trauma: Theory, Research, Practice, and Policy, 7, 324–332.CrossRefGoogle ScholarPubMed
Ogle, C. M., Rubin, D. C. & Siegler, I. C. (2016). Accounting for posttraumatic stress disorder symptoms with pre- and post-trauma risk factors: a longitudinal study. Clinical Psychological Science, 4, 272–286.Google Scholar
Ogle, C. M., Siegler, I. C., Beckham, J. C. & Rubin, D. C. (2017). Neuroticism increases PTSD symptom severity by amplifying the emotionality, rehearsal, and centrality of trauma memories. Journal of Personality, 85(5), 702–715.CrossRefGoogle ScholarPubMed
Power, C., Kuh, D. & Morton, S. (2013). From developmental origins of adult disease to life course research on adult development. Annual Review of Public Health, 34, 7–28.CrossRefGoogle Scholar
Schaie, K. W. (1965). A general model for the study of developmental problems. Psychological Bulletin, 64, 92–107.Google Scholar
Siegler, I. C. (2016). Policy brief: Biobehavioral risk factors in coronary heart disease. Syracuse University, Aging Studies Institute. http://info.maxwell.syr.edu/asi/IleneSieglerPolicyBrief/Google Scholar
Siegler, I. C., Peterson, B. L., Barefoot, J. C. & Williams, R. B. (1992). Hostility during late adolescence predicts coronary risk factors at mid-life. American Journal of Epidemiology, 136(2), 146–154.Google Scholar
Singh, A., Babyak, M. A., Brummett, B. H., et al. (2015). Computing a synthetic chronic psychosocial stress measurement in multiple datasets and its application in the replication of G x E interactions of the EBF1 gene. Genetic Epidemiology, 39(6), 489–497.Google Scholar

References

Brueggemann, B. J. (2013). Disability studies/disability culture. In Wehmeyer, M. L. (ed.), Oxford Handbook of Positive Psychology and disability (pp. 279–299). New York: Oxford University Press.Google Scholar
Courtney-Long, E. A., Carroll, D. D., Zhang, Q. C., et al. (2015). Prevalence of disability and disability types among adults: United States, 2013. Morbidity and Mortality Weekly Report, 64 (29), 777–783.CrossRefGoogle Scholar
Dunn, D. S. (2015). The Social Psychology of Disability. New York: Oxford University Press.Google Scholar
Dunn, D. S. & Andrews, E. E. (2015). Person-first and identity-first language: developing psychologists’ cultural competence using disability language. American Psychologist, 70, 255–264.Google Scholar
Hamilton, B. B., Granger, C. V., Sherwin, F. S., Zielezny, M. & Tashman, J. S. (1987). A uniform national data system for medical rehabilitation. In Fuhrer, M. J. (ed.), Rehabilitation Outcomes: Analysis and Measurement (Vol. 10, pp. 137–147). Baltimore, MD: Brookes.Google Scholar
Heinemann, A. W. & Mallinson, T. (2010). Functional status and quality-of-life measures. In Frank, R. G., Rosenthal, M. & Caplan, B. (eds), Handbook of Rehabilitation Psychology (2nd ed., pp. 147–164). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Horner-Johnson, W., Dobbertin, K., Lee, J. C., Andresen, E. M. & the Expert Panel on Disability and Health Disparities (2014). Receipt of prevention services by disability type: analysis of the medical expenditure panel survey. Health Services Research, 49, 1980–1999.Google Scholar
Houston, A., Gomes, A. M. & Naccarato, T. (2016). Moderate to severe psychological distress, disability, and non-receipt of past year visits to a mental health professional. Disability and Health Journal, 9, 735–740.Google Scholar
Houtenville, A. J. (2013). 2013 Annual Compendium of Disability Statistics. Durham, NH: University of New Hampshire, Institute on Disability.Google Scholar
Houtenville, A. J., Brucker, D. L. & Lauer, E. A. (2016). Annual Compendium of Disability Statistics: 2015. Durham, NH: University of New Hampshire, Institute on Disability.Google Scholar
Iezzoni, L. I. (2011). Eliminating health and health care disparities among the growing population of people with disabilities. Health Affairs, 30, 1947–1954.Google Scholar
Institute of Medicine. (2007). The Future of Disability in America. Washington, DC: The National Academies Press.Google Scholar
Institute of Medicine. (2015). Psychological Testing in the Service of Disability Determination. Washington, DC: The National Academies Press.Google Scholar
Kaplan, R. M. (2002). Quality of life: an outcomes perspective. Archives of Physical Medicine and Rehabilitation, 83 (Suppl. 2), S44–S50.Google Scholar
Musumeci, M. (2011). Modernizing Medicaid eligibility criteria for children with significant disabilities: moving from a disabling to an enabling paradigm. American Journal of Law & Medicine, 37, 81–127.Google Scholar
Okoro, C. A., Dhingra, S. S. & Li, C. (2014). A triple play: psychological distress, physical comorbidities, and access and use of health services among U. S. adults with disabilities. Journal of Health Care for the Poor and Underserved, 25, 814–836.Google Scholar
Rath, J. F. & Elliott, T. (2012). Psychological models in rehabilitation psychology. In Kennedy, P. (ed.), The Oxford Handbook of Rehabilitation Psychology (pp. 32–46). New York: Oxford University Press.CrossRefGoogle Scholar
US Census Bureau. (2012). Americans with disabilities: 2010. U.S. Department of Commerce: Economics and Statistics Administration.Google Scholar
World Health Organization. (2001). International Classification of Functioning, Disability, and Health. Geneva: WHO.Google Scholar
World Health Organization. (2002). Innovative Care for Chronic Conditions: Building Blocks for Action. Geneva: WHO.Google Scholar
World Health Organization (2011). World Report on Disability. Geneva: World Health Organization.Google Scholar

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