Kaspar R, Gabrian M, Brothers AF, Wahl H-W, Diehl MK. Measuring awareness of age-related change: development of a 10-item short form for use in large-scale surveys. Gerontologist. 2019;59(3):e130–e40.
PubMed Article Google Scholar
Sabatini S, Silarova B, Martyr A, Collins R, Ballard C, Anstey KJ, et al. Associations of awareness of age-related change with emotional and physical well-being: a systematic review and meta-analysis. Gerontologist. 2020;60(6):e477–e90.
PubMed Article Google Scholar
Diehl MK, Wahl H-W, Barrett AE, Brothers AF, Miche M, Montepare JM, et al. Awareness of aging: theoretical considerations on an emerging concept. Dev Rev. 2014;34(2):93–113.
PubMed PubMed Central Article Google Scholar
Brothers AF, Diehl MK. Feasibility and efficacy of the aging(plus) program: changing views on aging to increase physical activity. J Aging Phys Act. 2017;25(3):402–11.
PubMed Article Google Scholar
Diehl MK, Wahl H-W. Awareness of age-related change: examination of a (mostly) unexplored concept. J Gerontol B Psychol Sci Soc Sci. 2010;65B(3):S340–S50.
Article Google Scholar
Burmester B, Leathem J, Merrick P. Subjective cognitive complaints and objective cognitive function in aging: a systematic review and meta-analysis of recent cross-sectional findings. Neuropsychol Rev. 2016;26(4):376–93.
PubMed Article Google Scholar
Amariglio RE, Buckley RF, Mormino EC, Marshall GA, Johnson KA, Rentz DM, et al. Amyloid-associated increases in longitudinal report of subjective cognitive complaints. Alzheimers Dement. 2018;4:444–9.
Article Google Scholar
Brothers AF, Gabrian M, Wahl H-W, Diehl MK. A new multidimensional questionnaire to assess awareness of age-related change (AARC). Gerontologist. 2019;59(3):e141–e51.
PubMed Article Google Scholar
Neupert SD, Bellingtier JA. Aging attitudes and daily awareness of age-related change interact to predict negative affect. Gerontologist. 2017;57(suppl_2):S187–S92.
PubMed Article Google Scholar
Jessen F, Amariglio RE, van Boxtel M, Breteler M, Ceccaldi M, Chetelat G, et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers Dement. 2014;10(6):844–52.
PubMed PubMed Central Article Google Scholar
Voss P, Kornadt AE, Hess TM, Fung HH, Rothermund K. A world of difference? Domain-specific views on aging in China, the US, and Germany. Psychol Aging. 2018;33(4):595.
PubMed Article Google Scholar
Brothers AF, Gabrian M, Wahl H-W, Diehl MK. Future time perspective and awareness of age-related change: examining their role in predicting psychological well-being. Psychol Aging. 2016;31(6):605–17.
PubMed PubMed Central Article Google Scholar
Raz N, Rodrigue KM. Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci Biobehav Rev. 2006;30(6):730–48.
PubMed PubMed Central Article Google Scholar
Siedlecki KL, Salthouse TA, Berish DE. Is there anything special about the aging of source memory? Psychol Aging. 2005;20(1):19–32.
PubMed Article Google Scholar
Shin KR, Kim MY, Kim YH. Study on the lived experience of aging. Nurs Health Sci. 2003;5(4):245–52.
PubMed Article Google Scholar
Centre for Ageing Better. 2015 [Available from: http://laterlife.ageing-better.org.uk/.
English AN, Bellingtier JA, Neupert SD. It’s “the joneses”: the influence of objective and subjective socioeconomic status on subjective perceptions of aging. Eur J Ageing. 2019;16(1):121–8.
PubMed Article Google Scholar
Gregorich SE. Do self-report instruments allow meaningful comparisons across diverse population groups? Testing measurement invariance using the confirmatory factor analysis framework. Med Care. 2006;44(11 Suppl 3):S78–94.
PubMed PubMed Central Article Google Scholar
Mackinnon A, Jorm AF, Christensen H, Korten AE, Jacomb PA, Rodgers B. A short form of the positive and negative affect schedule: evaluation of factorial validity and invariance across demographic variables in a community sample. Personal Individ Differ. 1999;27(3):405–16.
Article Google Scholar
Horn JL, McArdle JJ. A practical and theoretical guide to measurement invariance in aging research. Exp Aging Res. 1992;18(3):117–44.
CAS PubMed Article Google Scholar
Carp FM, Carp A. Structural stability of well-being factors across age and gender, and development of scales of well-being unbiased for age and gender. J Gerontol. 1983;38(5):572–81.
CAS PubMed Article Google Scholar
Kotter-Grühn D, Hess TM. The impact of age stereotypes on self-perceptions of aging across the adult lifespan. J Gerontol B Psychol Sci Soc Sci. 2012;67:563–71.
PubMed PubMed Central Article Google Scholar
Barrett AE. Socioeconomic status and age identity: the role of dimensions of health in the subjective construction of age. J Gerontol B Psychol Sci Soc Sci. 2003;58(2):101–9.
Article Google Scholar
Lawton MP. The Philadelphia geriatric center morale scale: a revision. J Gerontol. 1975;30(1):85–9.
CAS PubMed Article Google Scholar
Miche M, Wahl H-W, Diehl MK, Oswald F, Kaspar R, Kolb M. Natural occurrence of subjective aging experiences in community-dwelling older adults. J Gerontol B Psychol Sci Soc Sci. 2014;69(2):174–87.
PubMed Article Google Scholar
Butcher H, McGonigal-Kenney M. Depression & dispiritedness in later life: a "gray drizzle of horror" isn't inevitable. Am J Nurs. 2005;105:52–61.
PubMed Article Google Scholar
Steverink N, Westerhof GJ, Bode C, Dittmann-Kohli F. The personal experience of aging, individual resources, and subjective well-being. J Gerontol B Psychol Sci Soc Sci. 2001;56(6):364–73.
Article Google Scholar
Kornadt AE, Kessler E-M, Wurm S, Bowen CE, Gabrian M, Klusmann V. Views on ageing: a lifespan perspective. Eur J Ageing. 2019.
Barrett AE. Gendered experiences in midlife: implications for age identity. J Aging Stud. 2005;19(2):163–83.
Article Google Scholar
Platform for Research Online to investigate Genetics and Cognition in Ageing. [Available from: https://www.protectstudy.org.uk. Accessed 14 Sept 2020.
Corbett A, Owen A, Hampshire A, Grahn J, Stenton R, Dajani S, et al. The effect of an online cognitive training package in healthy older adults: an online randomized controlled trial. J Am Med Dir Assoc. 2015;16(11):990–7.
PubMed Article Google Scholar
Huntley JD, Corbett A, Wesnes K, Brooker H, Stenton R, Hampshire A, et al. Online assessment of risk factors for dementia and cognitive function in healthy adults. Int J Geriatr Psychiatry. 2018;33(2):e286–e93.
CAS PubMed Article Google Scholar
Hampshire A, Highfield RR, Parkin BL, Owen AM. Fractionating human intelligence. Neuron. 2012;20(76):1225–37.
Article CAS Google Scholar
Baddeley AD. A 3 min reasoning test based on grammatical transformation. Psychon Sci. 1968;10(10):341–2.
Article Google Scholar
Huntley JD, Hampshire A, Bor D, Owen A, Howard RJ. Adaptive working memory strategy training in early Alzheimer's disease: randomised controlled trial. Br J Psychiatry. 2017;210(1):61–6.
CAS PubMed PubMed Central Article Google Scholar
Owen AM, Downes JJ, Sahakian BJ, Polkey CE, Robbins TW. Planning and spatial working memory following frontal lobe lesions in man. Neuropsychologia. 1990;28(10):1021–34.
CAS PubMed Article Google Scholar
Owen AM, Beksinska M, James M, Leigh PN, Summers BA, Marsden CD, et al. Visuospatial memory deficits at different stages of Parkinson's disease. Neuropsychologia. 1993;31(7):627–44.
CAS PubMed Article Google Scholar
Jorm AF, Jacomb PA. The informant questionnaire on cognitive decline in the elderly (IQCODE): socio-demographic correlates, reliability, validity and some norms. Psychol Med. 1989;19(4):1015–22.
CAS PubMed Article Google Scholar
Jorm AF. A short form of the informant questionnaire on cognitive decline in the elderly (IQCODE): development and cross-validation. Psychol Med. 1994;24(1):145–53.
CAS PubMed Article Google Scholar
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.
CAS PubMed PubMed Central Article Google Scholar
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th. ed. Washington, DC: American Psychiatric Association; 2000.
Kessler RC, Andrews G, Mroczek D, Ustun B, Wittchen H-U. The World Health Organization composite international diagnostic interview short-form (CIDI-SF). Int J Methods Psychiatr Res. 1998;7(4):171–85.
Article Google Scholar
Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–7.
PubMed Article Google Scholar
Lawton MP, Brody EM. Assessment of oder people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9(3):179–86.
CAS PubMed Article Google Scholar
Ware JEJ, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). Conceptual framework and item selection. Med Care. 1992;30(6):473–83.
PubMed Article Google Scholar
Bollen KA. Structural equations with latent variables: John Wiley & Sons; 2014.
Google Scholar
Byrne BM. Structural equation modeling with Mplus: basic concepts, applications, and programming. Byrne BM, editor. New York: Routledge/Taylor & Francis Group; 2012.
Google Scholar
Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:297–334.
Article Google Scholar
Acock AC. Discovering structural equation modeling using Stata: revised edition. College Station: Stata press; 2013.
Google Scholar
Meredith W. Measurement invariance, factor analysis and factorial invariance. Psychometrika. 1993;58(4):525–43.
Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990;107(2):238–46.
CAS PubMed Article Google Scholar
De Roover K, Timmerman ME, De Leersnyder J, Mesquita B, Ceulemans E. What's hampering measurement invariance: detecting non-invariant items using clusterwise simultaneous component analysis. Front Psychol. 2014;5:604.
PubMed PubMed Central Article Google Scholar
Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Modeling. 2007;14(3):464–504.
Article Google Scholar
Pearson K. Karl Pearson's early statistical papers. Cambridge: Cambridge: University Press; 1948.
Google Scholar
Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Earlbaum Associates; 1988.
Google Scholar
Bowling A, See-Tai S, Ebrahim S, Gabriel Z, Solanki P. Attributes of age-identity. Ageing Soc. 2005;25(4):479–500.
Article Google Scholar
Bordone V, Arpino B. Do grandchildren influence how old you feel? J Aging Health. 2015;28(6):1055–72.
PubMed Article Google Scholar
Siebert JS, Braun T, Wahl HW. Change in attitudes toward aging: cognitive complaints matter more than objective performance. Psychol Aging. 2020;35(3):357–68.
PubMed Article Google Scholar
Segel-Karpas D, Palgi Y. ‘It is nothing more than a senior moment’: the moderating role of subjective age in the effect of change in memory on self-rated memory. Aging Ment Health. 2019;23(2):272–6.
PubMed Article Google Scholar
Fauth EB, Gerstorf D, Ram N, Malmberg B. Changes in depressive symptoms in the context of disablement processes: role of demographic characteristics, cognitive function, health, and social support. J Gerontol B Psychol Sci Soc Sci. 2012;67(2):167–77.
PubMed Article Google Scholar
Blazer DG. Protection from late life depression. Int Psychogeriatr. 2010;22(2):171–3.
PubMed Article Google Scholar
Dutt AJ, Wahl H-W, Rupprecht F. Mindful vs. mind full: processing strategies moderate the association between subjective aging experiences and depressive symptoms. Psychol Aging. 2018;33:630–42.
PubMed Article Google Scholar
Dutt AJ, Wahl H-W. Future time perspective and general self-efficacy mediate the association between awareness of age-related losses and depressive symptoms. Eur J Ageing. 2018;16(2):227–36.
Dutt AJ, Gabrian M, Wahl H-W. Awareness of age-related change and depressive symptoms in middle and late adulthood: longitudinal associations and the role of self-regulation and calendar age. J Gerontol B Psychol Sci Soc Sci. 2016;73(6):944–53.
Google Scholar
Rupprecht FS, Dutt AJ, Wahl H-W, Diehl MK. The role of personality in becoming aware of age-related changes. Am J Geriatr Psychiatry. 2019;32(2):57–67.
O’Brien EL, Sharifian N. Managing expectations: how stress, social support, and aging attitudes affect awareness of age-related changes. J Soc Pers Relatsh. 2019;37(3):396–1007.
Okonkwo OC, Griffith HR, Vance DE, Marson DC, Ball KK, Wadley VG. Awareness of functional difficulties in mild cognitive impairment: a multidomain assessment approach. J Am Geriatr Soc. 2009;57(6):978–84.
PubMed PubMed Central Article Google Scholar
Clare L, Whitaker CJ, Nelis SM. Appraisal of memory functioning and memory performance in healthy ageing and early-stage Alzheimer's disease. Aging Neuropsychol Cognit. 2010;17(4):462–91.
Article Google Scholar
Lövdén M, Backman L, Lindenberger U, Schaefer S, Schmiedek F. A theoretical framework for the study of adult cognitive plasticity. Psychol Bull. 2010;136(4):659–76.
PubMed Article Google Scholar
Buckner RL. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron. 2004;44(1):195–208.
CAS PubMed Article Google Scholar
Baltes PB. Theoretical propositions of life-span developmental psychology: on the dynamics between growth and decline. Dev Psychol. 1987;23(5):611–26.
Article Google Scholar
Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43.
PubMed Article Google Scholar
Aarts S, Akker DM, Bosma H, Tan F, Verhey F, Metsemakers J, et al. The effect of multimorbidity on health related functioning: temporary or persistent? Results from a longitudinal cohort study. J Psychosom Res. 2012;73(3):211–7.
PubMed Article Google Scholar
Dolan P, Peasgood T, White M. Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective well-being. J Econ Psychol. 2008;29(1):94–122.
Article Google Scholar
Moore SEH. Is the healthy body gendered? Toward a feminist critique of the new paradigm of health. Body Soc. 2010;16(2):95–118.
Article Google Scholar
Kaminski PL, Hayslip B. Gender differences in body esteem among older adults. J Women Aging. 2006;18(3):19–35.
PubMed Article Google Scholar
Hvas L. Menopausal women's positive experience of growing older. Maturitas. 2006;54(3):245–51.
PubMed Article Google Scholar
Brown TA. Confirmatory factor analysis for applied research. New York: The Guilford Press; 2006. p. xiii. 475-xiii.
Google Scholar
Bergland A, Nicolaisen M, Thorsen K. Predictors of subjective age in people aged 40–79 years: a five-year follow-up study. The impact of mastery, mental and physical health. Aging Ment Health. 2014;18(5):653–61.
PubMed Article Google Scholar
Sommerlad A, Ruegger J, Singh-Manoux A, Lewis G, Livingston G. Marriage and risk of dementia: systematic review and meta-analysis of observational studies. J Neurol Neurosurg Psichiatria. 2018;89(3):231–8.
Article Google Scholar
Evans IEM, Llewellyn DJ, Matthews FE, Woods RT, Brayne C, Clare L. Living alone and cognitive function in later life. Arch Gerontol Geriatr. 2019;81:222–33.
PubMed Article Google Scholar
Grønkjær M, Osler M, Flensborg-Madsen T, Sørensen HJ, Mortensen EL. Associations between education and age-related cognitive changes from early adulthood to late midlife. Psychol Aging. 2019;34(2):177–86.
PubMed Article Google Scholar
Deary IJ, Whalley LJ, Lemmon H, Crawford JR, Starr JM. The stability of individual differences in mental ability from childhood to old age: follow-up of the 1932 Scottish mental survey. Intelligence. 2000;28(1):49–55.
Article Google Scholar
Yates JA, Clare L, Woods RT. What is the relationship between health, mood, and mild cognitive impairment? J Alzheimers Dis. 2017;55(3):1183–93.
PubMed Article Google Scholar
Craciun C, Gellert P, Flick U. Aging in precarious circumstances: do positive views on aging make a difference? Gerontologist. 2017;57(3):517–28.
PubMed Google Scholar
Herd P, Goesling B, House JS. Socioeconomic position and health: the differential effects of education versus income on the onset versus progression of health problems. J Health Soc Behav. 2007;48(3):223–38.
PubMed Article Google Scholar
Leopold L, Engelhardt H. Education and physical health trajectories in old age. Evidence from the survey of health, ageing and retirement in Europe (SHARE). Int J Public Health. 2013;58(1):23–31.
PubMed Google Scholar
Stephan Y, Sutin AR, Kornadt A, Terracciano A. Polygenic scores for education, health, and personality as predictors of subjective age among older individuals of European ancestry: evidence from the health and retirement study. Psychol Aging. 2019;34(1):139–44.
PubMed Article Google Scholar
Kaplan RM, Spittel ML, Zeno TL. Educational attainment and life expectancy. Health Well-Being. 2014;1(1):189–94.
Google Scholar
Lövdén M, Rönnlund M, Wahlin Å, Bäckman L, Nyberg L, Nilsson L-G. The extent of stability and change in episodic and semantic memory in old age: demographic predictors of level and change. J Gerontol B Psychol Sci Soc Sci. 2004;59(3):P130–P4.
PubMed Article Google Scholar
Salthouse TA. Trajectories of normal cognitive aging. Psychol Aging. 2019;34(1):17–24.
PubMed Article Google Scholar
Hahn EA, Lachman ME. Everyday experiences of memory problems and control: the adaptive role of selective optimization with compensation in the context of memory decline. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2015;22(1):25–41.
PubMed Article Google Scholar
Pearman A, Storandt M. Predictors of subjective memory in older adults. J Gerontol B Psychol Sci Soc Sci. 2004;59(1):P4–6.
PubMed Article Google Scholar
Tandetnik C, Farrell MT, Cary MS, Cines S, Emrani S, Karlawish J, et al. Ascertaining subjective cognitive decline: a comparison of approaches and evidence for using an age-anchored reference group. J Alzheimers Dis. 2015;48(s1):S43–55.
PubMed PubMed Central Article Google Scholar
Hudes R, Rich JB, Troyer AK, Yusupov I, Vandermorris S. The impact of memory-strategy training interventions on participant-reported outcomes in healthy older adults: a systematic review and meta-analysis. Psychol Aging. 2019;34(4):587–97.
PubMed Article Google Scholar
Page 2
Characteristics
Statistic
Age (years), M (SD)
65.9 (7.1)
Range
51–95
Sex (Women %)
79.9
Ethnicity (%)
White
98.5
Mixed
0.5
Asian
0.6
Black
0.1
Other ethnic groups
0.3
Marital status (%)
Married/ civil partnership/ co-habiting
79.1
Widowed/ separated/ divorced/ single
20.9
University education (Yes %)
75.8
Current employment (Yes %)
42.6
N = 9410
University education was operationalized as a dichotomous variable. No university education included those participants that concluded secondary education or post-secondary education. University education included those participants that concluded vocational qualification, undergraduate degree, post-graduate degree, or doctorate. Secondary education = GCSE or O-levels. Post-secondary education = College, A-levels, NVQ3 or below, or similar. Vocational qualification = Diploma, certificate, BTEC, NVQ 4 and above, or similar. Undergraduate degree = BA or BSc, or similar. Post-graduate degree = MA, MSc, or similar. Doctorate = PhD
