This Review develops a theoretical framework for the development and onset of vulnerability in later life based on the concept of reserves. We stress the advantages of using the concept of reserves in interdisciplinary life-course studies, compared with related concepts such as resources and capital. We enrich the definition of vulnerability as a lack of reserves and a reduced capacity of an individual to restore reserves. Two dimensions of reserves, originating from lifespan psychology and gerontology, are of particular importance: their constitution and sustainability by behaviours and interaction with the environment (the ‘use it or lose it’ paradigm) and the presence of thresholds, below which functioning becomes highly challenging. This heuristic approach reveals the potential for a conceptualization of reserves and is exemplified in an empirical illustration. Further interdisciplinary research based on the concept is needed.
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Baltes, P. B., Staudinger, U. M. & Lindenberger, U. Lifespan psychology: theory and application to intellectual functioning. Annu. Rev. Psychol. 50, 471–507 (1999).
Featherman, D. L. & Lerner, R. M. Ontogenesis and sociogenesis: problematics for theory and research about development and socialization across the lifespan. Am. Sociol. Rev. 50, 659–676 (1985).
Bourdieu, P. in Handbook of Theory and Research for the Sociology of Education (ed. Richardson, J. C.) 241–258 (Greenwood, New York, NY, 1985).
O’Rand, A. M. in Handbook of Aging and the Social Sciences (eds Binstock, H. & George, L. K.) 145–162 (Elsevier, Amsterdam, 2006).
Tan, L. B. Evaluation of cardiac dysfunction, cardiac reserve and inotropic response. Postgrad. Med. J. 67 (Suppl. 1), S10–S20 (1991).
Tan, L. B. & Littler, W. A. Measurement of cardiac reserve in cardiogenic shock: implications for prognosis and management. Br. Heart J. 64, 121–128 (1990).
Thomas, D. M., Coles, G. A. & Williams, J. D. What does the renal reserve mean? Kidney Int. 45, 411–416 (1994).
Sharma, A., Mucino, M. J. & Ronco, C. Renal functional reserve and renal recovery after acute kidney injury. Nephron Clin. Pract. 127, 94–100 (2014).
Richardson, M. C., Guo, M., Fauser, B. C. & Macklon, N. S. Environmental and developmental origins of ovarian reserve. Hum. Reprod. Update 20, 353–69 (2014).
Satz, P. Brain reserve capacity on symptom onset after brain injury: a formulation and review of evidence for threshold theory. Neuropsychology 7, 273–295 (1993).
Stern, Y. Cognitive reserve. Neuropsychologia 47, 2015–2028 (2009).
Ihle, A. et al. The relation of obesity to performance in verbal abilities, processing speed, and cognitive flexibility in old age: the role of cognitive reserve. Dement. Geriatr. Cogn. Disord. 42, 117–126 (2016).
Ihle, A. et al. The association of leisure activities in middle adulthood with cognitive performance in old age: the moderating role of educational level. Gerontology 61, 543–550 (2015).
Riley, K. P., Snowdon, D. A., Desrosiers, M. F. & Markesbery, W. R. Early life linguistic ability, late life cognitive function, and neuropathology: findings from the Nun Study. Neurobiol. Aging 26, 341–347 (2005).
Stern, Y. Cognitive reserve in ageing and Alzheimer’s disease. Lancet Neurol. 11, 1006–1012 (2012).
O’Rand, A. M. The precious and the precocious: understanding cumulative disadvantage and cumulative advantage over the life course. Gerontologist 36, 230–238 (1996).
Gouldner, A. W. The norm of reciprocity: a preliminary statement. Am. Sociol. Rev. 25, 161–178 (1960).
Kliegel, M. et al. Prospective memory in older adults: where we are now and what is next. Gerontology 62, 459–66 (2016).
Gupta, A. et al. Cerebrovascular reserve and stroke risk in patients with carotid stenosis or occlusion: a systematic review and meta-analysis. Stroke 43, 2884–2891 (2012).
Antonucci, M. U. et al. Acute preoperative infarcts and poor cerebrovascular reserve are independent risk factors for severe ischemic complications following direct extracranial-intracranial bypass for Moyamoya disease. Am. J. Neuroradiol. 37, 228–235 (2016).
Koyanagi, M. et al. Reduced cerebrovascular reserve is associated with an increased risk of postoperative ischemic lesions during carotid artery stenting. J. Neurointerv. Surg. 8, 576–580 (2016).
Kuh, D., Karunananthan, S., Bergman, H. & Cooper, R. A life-course approach to healthy ageing: maintaining physical capability. Proc. Nutr. Soc. 73, 237–248 (2014).
Ben-Shlomo, Y., Cooper, R. & Kuh, D. The last two decades of life course epidemiology, and its relevance for research on ageing. Int. J. Epidemiol. 45, 973–988 (2016).
Lopez, M. E. et al. Searching for primary predictors of conversion from mild cognitive impairment to Alzheimer's disease: a multivariate follow-up study. J. Alzheimers Dis. 52, 133–143 (2016).
Stern, Y. What is cognitive reserve? Theory and research application of the reserve concept. J. Int. Neuropsychol. Soc. 8, 448–460 (2002).
Cirelli, C. Brain plasticity, sleep and aging. Gerontology 58, 441–445 (2012).
Greenwood, P. M. Functional plasticity in cognitive aging: review and hypothesis. Neuropsychology 21, 657–673 (2007).
Mora, F., Segovia, G. & del Arco, A. Aging, plasticity and environmental enrichment: structural changes and neurotransmitter dynamics in several areas of the brain. Brain Res. Rev. 55, 78–88 (2007).
Gross, C. G. Neurogenesis in the adult brain: death of a dogma. Nat. Rev. Neurosci. 1, 67–73 (2000).
Gage, F. H. Neurogenesis in the adult brain. J. Neurosci. 22, 612–613 (2002).
Eriksson, P. S. et al. Neurogenesis in the adult human hippocampus. Nat. Med. 4, 1313–1317 (1998).
Doidge, N. The Brain that Changes Itself. Stories of Personal Triumph from the Frontiers of Brain Science (Penguin Books, London, 2007).
Ingber, A. P. et al. Cerebrospinal fluid biomarkers and reserve variables as predictors of future “non-cognitive” outcomes of Alzheimer’s disease. J. Alzheimers Dis. 52, 1055–1064 (2016).
Valenzuela, M. J. & Sachdev, P. Brain reserve and dementia: a systematic review. Psychol. Med. 36, 441–54 (2006).
Mortimer, J. A. Brain reserve and the clinical expression of Alzheimeras disease. Geriatrics 52 (Suppl. 2), S50–S53 (1997).
Osone, A., Arai, R., Hakamada, R. & Shimoda, K. Cognitive and brain reserve in conversion and reversion in patients with mild cognitive impairment over 12 months of follow-up. J. Clin. Exp. Neuropsychol. 38, 1084–1093 (2016).
Valenzuela, M. J. & Sachdev, P. Brain reserve and cognitive decline: a non-parametric systematic review. Psychol. Med. 36, 1065–1073 (2006).
Dekhtyar, S., Wang, H.-X., Fratiglioni, L. & Herlitz, A. Childhood school performance, education and occupational complexity: a life-course study of dementia in the Kungsholmen Project. Int. J. Epidemiol. 45, 1207–1215 (2016).
Mondragón, J. D., Celada-Borja, C., Barinagarrementeria-Aldatz, F., Burgos-Jaramillo, M. & Barragán-Campos, H. M. Hippocampal volumetry as a biomarker for dementia in people with low education. Dement. Geriatr. Cogn. Dis. Extra 6, 486–499 (2016).
Scarmeas, N., Levy, G., Tang, M. X., Manly, J. & Stern, Y. Influence of leisure activity on the incidence of Alzheimer’s disease. Neurology 57, 2236–2242 (2001).
Weyerman, J. J., Rose, C. & Norton, M. C. Personal journal keeping and linguistic complexity predict late-life dementia risk: The Cache County Journal Pilot Study. J. Gerontol. B. Psychol. Sci. Soc. Sci. 72, 991–995 (2016).
Grotz, C. et al. Why is later age at retirement beneficial for cognition? Results from a French population-based study. J. Nutr. Health Aging 20, 514–519 (2015).
Cheng, S.-T. Cognitive reserve and the prevention of dementia: the role of physical and cognitive activities. Curr. Psychiatry Rep. 18, 85 (2016).
Andrejeva, N. et al. Neurocognitive deficits and effects of cognitive reserve in mild cognitive impairment. Dement. Geriatr. Cogn. Disord. 41, 199–209 (2016).
Colangeli, S. et al. Cognitive reserve in healthy aging and Alzheimer's disease: a meta-analysis of fMRI studies. Am. J. Alzheimers Dis. Other Demen. 31, 443–449 (2016).
Ihle, A., Oris, M., Fagot, D., Maggiori, C. & Kliegel, M. The association of educational attainment, cognitive level of job, and leisure activities during the course of adulthood with cognitive performance in old age: the role of openness to experience. Int. Psychogeriatr. 28, 733–740 (2015).
Luerding, R., Gebel, S., Gebel, E. M., Schwab-Malek, S. & Weissert, R. Influence of formal education on cognitive reserve in patients with multiple sclerosis. Front. Neurol. 7, 46 (2016).
Milanini, B. et al. Cognitive reserve and neuropsychological functioning in older HIV-infected people. J. Neurovirol. 22, 575–583 (2016).
Nunnari, D. et al. Exploring cognitive reserve in multiple sclerosis: new findings from a cross-sectional study. J. Clin. Exp. Neuropsychol. 38, 1158–1167 (2016).
Sanchez, J. L., Rodriguez, M. & Carro, J. Influence of cognitive reserve on neuropsychologic functioning in Alzheimer’s disease type sporadic in subjects of Spanish nationality. Neuropsychiatry Neuropsychol. Behav. Neurol. 15, 113–122 (2002).
Stern, R. A., Silva, S. G., Chaisson, N. & Evans, D. L. Influence of cognitive reserve on neuropsychological functioning in asymptomatic human immunodeficiency virus-1 infection. Arch. Neurol. 53, 148–153 (1996).
Matura, S. et al. Effects of aerobic exercise on brain metabolism and grey matter volume in older adults: results of the randomised controlled SMART trial. Transl. Psychiatry 7, e1172 (2017).
Estanga, A. et al. Beneficial effect of bilingualism on Alzheimer’s disease CSF biomarkers and cognition. Neurobiol. Aging 50, 144–151 (2016).
Xu, W., Yu, J.-T., Tan, M.-S. & Tan, L. Cognitive reserve and Alzheimer’s disease. Mol. Neurobiol. 51, 187–208 (2015).
Opdebeeck, C., Martyr, A. & Clare, L. Cognitive reserve and cognitive function in healthy older people: a meta-analysis. Aging Neuropsychol. Cogn. 23, 40–60 (2016).
Habeck, C. et al. Cognitive reserve and brain maintenance: orthogonal concepts in theory and practice. Cereb. Cortex 27, 3962–3969 (2016).
Nyberg, L., Lövdén, M., Riklund, K., Lindenberger, U. & Bäckman, L. Memory aging and brain maintenance. Trends Cogn. Sci. 16, 292–305 (2012).
Erickson, K. I. et al. Exercise training increases size of hippocampus and improves memory. Proc. Natl. Acad. Sci. USA. 108, 3017–3022 (2011).
Valenzuela, M. J. et al. Multiple biological pathways link cognitive lifestyle to protection from dementia. Biol. Psychiatry 71, 783–791 (2012).
Basso, J. C. & Suzuki, W. A. The effects of acute exercise on mood, cognition, neurophysiology, and neurochemical pathways: a review. Brain Plast. 2, 157–152 (2017).
Kessels, R. P. et al. Effect of formal education on vascular cognitive impairment after stroke: a meta-analysis and study in young-stroke patients. J. Int. Neuropsychol. Soc. 23, 223–238 (2017).
Lane, E. M., Paul, R. H., Moser, D. J., Fletcher, T. D. & Cohen, R. A. Influence of education on subcortical hyperintensities and global cognitive status in vascular dementia. J. Int. Neuropsychol. Soc. 17, 531–536 (2011).
Guzman-Velez, E. & Tranel, D. Does bilingualism contribute to cognitive reserve? Cognitive and neural perspectives. Neuropsychology 29, 139–150 (2015).
Perani, D. & Abutalebi, J. Bilingualism, dementia, cognitive and neural reserve. Curr. Opin. Neurol. 28, 618–25 (2015).
Calvo, N., Garcia, A. M., Manoiloff, L. & Ibanez, A. Bilingualism and cognitive reserve: a critical overview and a plea for methodological innovations. Front. Aging Neurosci. 7, 249 (2015).
Verghese, J. et al. Leisure activities and the risk of dementia in the elderly. N. Engl. J. Med. 348, 2508–2516 (2003).
Bradley, R. H. & Corwyn, R. F. Socioeconomic status and child development. Annu. Rev. Psychol. 53, 371–399 (2002).
Daffner, K. R. Promoting successful cognitive aging: a comprehensive review. J. Alzheimers Dis. 19, 1101–1122 (2010).
Lehmann, A. & Skoe, E. Robust encoding in the human auditory brainstem: use it or lose it? Front. Neurosci. 9, 451 (2015).
Wisdom, K. M., Delp, S. L. & Kuhl, E. Use it or lose it: multiscale skeletal muscle adaptation to mechanical stimuli. Biomech. Model. Mechanobiol. 14, 195–215 (2015).
Dieckhoff, M. & Gash, V. Unemployed and alone? Unemployment and social participation in Europe. Int. J. Sociol. Soc. Policy 35, 67–90 (2015).
Super, D. E. A life-span, life-space approach to career development. J. Vocat. Behav. 16, 282–298 (1980).
McDonald, S. & Mair, C. A. Social capital across the life course: age and gendered patterns of network resources. Sociol. Forum 25, 335–359 (2010).
Wrzus, C., Hanel, M., Wagner, J. & Neyer, F. J. Social network changes and life events across the life span: a meta-analysis. Psychol. Bull. 139, 53–80 (2013).
Widmer, E. Family Configurations: A Structural Approach to Family Diversity (Routledge, London, 2016).
Bidart, C. & Lavenu, D. Evolutions of personal networks and life events. Soc. Netw. 27, 359–376 (2005).
Bryant, C. M. & Conger, R. D. Marital success and domains of social support in long-term relationships: does the influence of network members ever end? J. Marriage Fam. 61, 437–450 (1999).
Kalmijn, M. Shared friendship networks and the life course: an analysis of survey data on married and cohabiting couples. Soc. Netw. 25, 231–249 (2003).
Kalmijn, M. & Broese van Groenou, M. Differential effects of divorce on social integration. J. Soc. Pers. Relat. 22, 455–476 (2005).
Bengtson, V. L., Rosenthal, C. & Burton, L. in Handbook of Aging and the Social Sciences (eds Binstock, R. & George, L.) 253–282 (Academic Press, San Diego, CA, 1995).
Lowenstein, A., Katz, R. & Daatland, S. O. Filial norms and intergenerational support in Europe and Israel: a comparative perspective. Annu. Rev. Gerontol. Geriatr. 24, 200–223 (2004).
Puur, A., Sakkeus, L., Põldma, A. & Herm, A. Intergenerational family constellations in contemporary Europe: evidence from the Generations and Gender Survey. Demogr. Res. S11, 135–172 (2011).
Bengtson, V. L. Beyond the nuclear family: the increasing importance of multigenerational bonds. J. Marriage Fam. 63, 1–16 (2001).
Schnettler, S. & Wöhler, T. in Vielfalt und Zusammenhalt Verhandlungen des 36 Kongresses der Deutschen Gesellschaft für Soziologie in Bochum und Dortmund 2012 1–26 (Campus, Frankfurt/New York, NY, 2014).
Dykstra, P. A. & Hagestad, G. O. Childlessness and parenthood in two centuries. different roads—different maps? J. Fam. Issues 28, 1518–1532 (2007).
Girardin, M. & Widmer, E. D. Lay definitions of family and social capital in later life. Pers. Relat. 22, 712–737 (2015).
De Carlo, I., Aeby, G. & Widmer, E. La variété des configurations familiales après une recomposition: choix et contraintes. Schweiz. Z. Soziol. 40, 9–27 (2014).
Shors, T. J., Anderson, M. L., Curlik, D. M. II & Nokia, M. S. Use it or lose it: how neurogenesis keeps the brain fit for learning. Behav. Brain Res. 227, 450–458 (2012).
Sherman, C. W., Wan, W. H. & Antonucci, T. C. in The Encyclopedia of Adulthood and Aging (ed. Whitbourne, S. K.) 1323–1328 (John Wiley & Sons, 2015).
Naci, H. & Ioannidis, J. P. A. Comparative effectiveness of exercise and drug interventions on mortality outcomes: metaepidemiological study. Br. Med. J. 347, f5577 (2013).
Nexo, M. A., Meng, A. & Borg, V. Can psychosocial work conditions protect against age-related cognitive decline? Results from a systematic review. Occup. Environ. Med. 73, 487–496 (2016).
Salthouse, T. A. Mental exercise and mental aging: evaluating the validity of the “use it or lose it” hypothesis. Perspect. Psychol. Sci. 1, 68–87 (2006).
Then, F. S. et al. Systematic review of the effect of the psychosocial working environment on cognition and dementia. Occup. Environ. Med. 71, 358–365 (2014).
Bialystok, E., Craik, F. I. & Luk, G. Bilingualism: consequences for mind and brain. Trends Cogn. Sci. 16, 240–250 (2012).
Molm, L. et al. Building solidarity through generalized exchange: a theory of reciprocity. Am. J. Sociol. 113, 205–242 (2007).
Morgan, D. Rethinking Family Practices (Springer, New York, NY, 2011).
Carstensen, L. L. Selectivity theory: social activity in a life-span context. Annu. Rev. Gerontol. Geriatr. 11, 195–217 (1991).
Spini, D., Bernardi, L. & Oris, M. Toward a life course framework for studying vulnerability. Res. Hum. Dev. 14, 5–25 (2017).
Spini, D., Hanappi, D., Bernardi, L., Oris, M. & Bickel, J.-F. Vulnerability across the life course: a theoretical framework and research directions. LIVES Work. Pap. 2013, 1–35 (2013).
Razurel, C., Bruchon-Schweitzer, M., Dupanloup, A., Irion, O. & Epiney, M. Stressful events, social support and coping strategies of primiparous women during the postpartum period: a qualitative study. Midwifery 27, 237–242 (2011).
Melchiorre, M. G. et al. Social support, socio-economic status, health and abuse among older people in seven European countries. PLoS ONE 8, e54856 (2013).
Boker, S. M. Adaptive equilibrium regulation: a balancing act in two timescales. J. Pers. Oriented Res. 1, 99–109 (2015).
McCubbin, H. I. & Patterson, J. M. The family stress process. Marriage Fam. Rev. 6, 7–37 (1983).
Karney, B. R. & Bradbury, T. N. The longitudinal course of marital quality and stability: a review of theory, method, and research. Psychol. Bull. 118, 3–34 (1995).
Furstenberg, F. F. & Kaplan, S. B. in Blackwell Companion to the Sociology of Families (eds Richards, M., Scott, J. & Treas, J.) 218–232 (Blackwell, London, 2004).
Kawachi, I. & Berkman, L. F. Social ties and mental health. J. Urban Health 78, 458–467 (2001).
Lin, N., Ye, X. & Ensel, W. M. Social support and depressed mood: a structural analysis. J. Health Soc. Behav. 40, 344–359 (1999).
Song, L., Son, J. & Lin, N. in The Sage Handbook of Social Network Analysis (eds Scott, J. & Carrington, P. J.) 116–128 (Sage, London, 2011).
Jonsson, F., Hammarstrom, A. & Gustafsson, P. E. Social capital across the life course and functional somatic symptoms in mid-adulthood. Scand. J. Public Health 42, 581–588 (2014).
Thomas, P. A. Trajectories of social engagement and limitations in late life. J. Health Soc. Behav. 52, 430–43 (2011).
Cullati, S., Courvoisier, D. S. & Burton-Jeangros, C. Mental health trajectories and their embeddedness in work and family circumstances: a latent state-trait approach to life-course trajectories. Sociol. Health Illn. 36, 1077–94 (2014).
Cullati, S., Rousseaux, E., Gabadinho, A., Courvoisier, D. S. & Burton-Jeangros, C. Factors of change and cumulative factors in self-rated health trajectories: a systematic review. Adv. Life Course Res. 19, 14–27 (2014).
Cohen, S. & Wills, T. A. Stress, social support, and the buffering hypothesis. Psychol. Bull. 98, 310–57 (1985).
Kaplan, B. H., Cassel, J. C. & GoreS. Social support and health. Med. Care. 15 (5 Suppl.), 47–58 (1977).
Lin, N., Dean, A. & Ensel, W. M. Social Support, Life Events, and Depression (Academic Press, Orlando, FL, 2013).
Fiorillo, D. Reasons for Unmet needs for Health Care: The Role of Social Capital and Social Support in some Western EU Countries (Parthenope Univ. Naples, Naples, 2017).
Perry, B. L. & Pescosolido, B. A. Social network dynamics and biographical disruption: the case of “first-timers” with mental illness. Am. J. Sociol. 118, 134–175 (2012).
Sapin, M., Widmer, E. D. & Iglesias, K. From support to overload: patterns of positive and negative family relationships of adults with mental illness over time. Soc. Netw. 47, 59–72 (2016).
Bengtson, V. L., Elder, G. H. Jr & Putney, N. M. in The Cambridge Handbook of Age and Ageing (ed. Johnson, M. L.) 493–509 (Cambridge Univ. Press, New York, NY, 2005).
Elder, G. H. Jr The life course as developmental theory. Child Dev. 69, 1–12 (1998).
Dannefer, D. Right in front of us: taking everyday life seriously in the study of human development. Res. Hum. Dev. 12, 209–216 (2015).
Levy, R., Ghisletta, P., Le Goff, J.-M., Spini, D. & Widmer, E. (eds) Towards an Interdisciplinary Perspective on the Life Course (Elsevier, Amsterdam, 2005).
Baltes, P. B. On the incomplete architecture of human ontogeny. Selection, optimization, and compensation as foundation of developmental theory. Am. Psychol. 52, 366–80 (1997).
Cicchetti, D. & Rogosch, F. A. Equifinality and multifinality in developmental psychopathology. Dev. Psychopathol. 8, 597–600 (1996).
Raudenbush, S. W. Comparing personal trajectories and drawing causal inferences from longitudinal data. Annu. Rev. Psychol. 52, 501–525 (2001).
Berchtold, A., Surís, J.-C., Meyer, T. & Taushanov, Z. Development of somatic complaints among adolescents and young adults in Switzerland. Swiss J. Sociol. (in the press).
Levy, R. & Widmer, E. (eds) Gendered Life Courses between Individualization and Standardization. A European Approach Applied to Switzerland (LIT Verlag, Wien, 2013).
Dannefer, D. Cumulative advantage/disadvantage and the life course: cross-fertilizing age and social science theory. J. Gerontol. Ser. B 58, 327–337 (2003).
Crystal, S. & Shea, D. Cumulative advantage, cumulative disadvantage, and inequality among elderly people. Gerontologist 30, 437–443 (1990).
Struffolino, E., Studer, M. & Fasang, A. E. Gender, education, and family life courses in East and West Germany: insights from new sequence analysis techniques. Adv. Life Course Res. 29, 66–79 (2016).
Burton-Jeangros, C. & Zimmermann-Sloutskis, D. Life satisfaction trajectories of elderly women living in Switzerland: an age-period-cohort analysis. Ageing Soc. 36, 106–132 (2016).
Sacker, A., Wiggins, R. D. & Bartley, M. Time and place: putting individual health into context. A multilevel analysis of the British household panel survey, 1991–2001. Health Place 12, 279–290 (2006).
Sacker, A., Worts, D. & McDonough, P. Social influences on trajectories of self-rated health: evidence from Britain, Germany, Denmark and the USA. J. Epidemiol. Community Health 65, 130–136 (2011).
Lewis, M. D. The promise of dynamic systems approaches for an integrated account of human development. Child Dev. 71, 36–43 (2000).
Magnusson, D. in Methods and Models for Studying the Individual (eds Cairns, R. B., Bergman, L. R. & Kagan, J.) 33–64 (Sage Publications, Thousand Oaks, CA, 1998).
Borsch-Supan, A. et al. Data resource profile: the Survey of Health, Ageing and Retirement in Europe (SHARE). Int. J. Epidemiol. 42, 992–1001 (2013).
Pichler, F. & Wallace, C. Social capital and social class in Europe: the role of social networks in social stratification. Eur. Sociol. Rev. 25, 319–332 (2009).
Galobardes, B., Shaw, M., Lawlor, D. A., Lynch, J. W. & Davey Smith, G. Indicators of socioeconomic position (part 1). J. Epidemiol. Community Health 60, 7–12 (2006).
Galobardes, B., Shaw, M., Lawlor, D. A., Lynch, J. W. & Davey Smith, G. Indicators of socioeconomic position (part 2). J. Epidemiol. Community Health 60, 95–101 (2006).
United Nations Educational SaCO. International Standard Classification of Education 1997 (UNESCO, Paris, 1997).
International Labour Office International Standard Classification of Occupations: ISCO-08 (International Labour Office, Geneva, 2012); http://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_172572.pdf.
Katz, S., Ford, A. B., Moskowitz, R. W., Jackson, B. A. & Jaffe, M. W. Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. JAMA 185, 914–919 (1963).
Lawton, M. P. & Brody, E. M. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9, 179–86 (1969).
Haughton, J. & Khandker, S. R. Handbook on Poverty and Inequality (World Bank, Washington DC, 2009); https://openknowledge.worldbank.org/handle/10986/11985
We thank S. Sieber and B. Cheval for data management of the SHARE database. This paper used data from SHARE Waves 1, 2, 3 (SHARELIFE), 4, 5 and 6 (DOIs: 10.6103/SHARE.w1.600, 10.6103/SHARE.w2.600, 10.6103/SHARE.w3.600, 10.6103/SHARE.w4.600, 10.6103/SHARE.w5.600, 10.6103/SHARE.w6.600). The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the US National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org). This study was supported by the Swiss National Centre of Competence in Research ‘LIVES – Overcoming Vulnerability: Life Course Perspectives’. LIVES is funded by the Swiss National Science Foundation (grant number 51NF40-160590) and jointly hosted by the Universities of Lausanne and Geneva. The authors are grateful to the Swiss National Science Foundation for its financial assistance. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
The authors declare no competing interests.
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Cullati, S., Kliegel, M. & Widmer, E. Development of reserves over the life course and onset of vulnerability in later life. Nat Hum Behav 2, 551–558 (2018). https://doi.org/10.1038/s41562-018-0395-3
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