A Mixed-Method Study on Strategies in Everyday Personal Goals among Community-Dwelling Older Adults

[en] Introduction: Although it is well known that preference for selection, optimization, and compensation (SOC) strategies is associated with indicators of successful aging and well-being, very little is known about what predicts the use of SOC as goal management strategies in the daily lives of older adults. The present study investigates predictors of self-reported use of SOC strategies in community-dwelling adults. We expected selection and especially compensation to be higher in individuals with worse subjective health and cognitive performance. On the contrary, given that optimization is an anticipatory strategy to increase goal-relevant means in the absence of resource losses, we did not expect optimization to be related to either health or cognition. Methods: We performed hierarchical regression to predict use of SOC strategies to achieve everyday personal goals (assessed qualitatively via semi-structured interviews exploring participants' personal goals) from subjective health and objective cognitive performance, controlling for age, apathy, and depression. Results: Poorer self-rated health and worse cognitive performance positively predicted compensation as a goal management strategy (R2 = 20%), whereas self-rated health just failed to significantly predict selection rates. None of the variables of interest predicted optimization. Discussion/Conclusion: Whereas previous research suggests associations between reduced resources and decreased absolute frequency of compensation use, the present study found that poorer cognitive status and perceived health are both linked to increased reliance on compensation in order to preserve well-being. In line with their anticipatory nature, the use of optimization strategies was independent from health and cognitive resources in our sample. We discuss the absence of conclusive effects regarding selection in this study in light of the distinction between elective and loss-based selection. © 2020 S. Karger AG, Basel. All rights reserved.

Disciplines :

Neurosciences & behavior

Author, co-author :

Joly-Burra, Emilie; Swiss National Centre of Competence in Research LIVES, University of Geneva, Bd du Pont d'Arve, 28, Geneva, CH-1205, Switzerland, Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland

Van der Linden, Martial ; Université de Liège - ULg

Ghisletta, Paolo; Swiss National Centre of Competence in Research LIVES, University of Geneva, Bd du Pont d'Arve, 28, Geneva, CH-1205, Switzerland, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland, Swiss Distance University Institute, Brig, Switzerland

Language :

English

Title :

A Mixed-Method Study on Strategies in Everyday Personal Goals among Community-Dwelling Older Adults

Publication date :

2020

Journal title :

Gerontology

ISSN :

0304-324X

eISSN :

1423-0003

Publisher :

S. Karger AG

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 14 September 2020

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Bibliography

Baltes MM, Carstensen LL. The process of successful ageing. Ageing Soc. 1996 Jul; 16(4): 397-422.
Brown RG, Pluck G. Negative symptoms: the 'pathology' of motivation and goal-directed behaviour. Trends Neurosci. 2000 Sep; 23(9): 412-7.
Glisky EL. Changes in cognitive function in human aging. Brain aging: Models, methods, and mechanisms. Boca Raton, FL, US: CRC Press; 2007. pp. 3-20.
Verhaeghen P, Martin M, S?dek G. Reconnecting cognition in the lab and cognition in real life: the role of compensatory social and motivational factors in explaining how cognition ages in the wild. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2012; 19(1-2): 1-12.
Baltes PB, Baltes MM. Psychological perspectives on successful aging: the model of selective optimization with compensation. In: Baltes PB, Baltes MM, editors. Successful aging: perspectives from the behavioral sciences. New York (NY): Cambridge University Press; 1990. pp. 1-34.
Baltes PB, Smith J. New frontiers in the future of aging: from successful aging of the young old to the dilemmas of the fourth age. Gerontology. 2003 Mar-Apr; 49(2): 123-35.
Freund AM, Baltes PB. Selection, optimization, and compensation as strategies of life management: correlations with subjective indicators of successful aging. Psychol Aging. 1998 Dec; 13(4): 531-43.
Riediger M, Freund AM. Focusing and restricting: two aspects of motivational selectivity in adulthood. Psychol Aging. 2006 Mar; 21(1): 173-85.
Li KZ, Lindenberger U, Freund AM, Baltes PB. Walking while memorizing: age-related differences in compensatory behavior. Psychol Sci. 2001 May; 12(3): 230-7.
Freund AM, Baltes PB. Life-management strategies of selection, optimization, and compensation: measurement by self-report and construct validity. J Pers Soc Psychol. 2002 Apr; 82(4): 642-62.
Teshale SM, Lachman ME. Managing daily happiness: the relationship between selection, optimization, and compensation strategies and well-being in adulthood. Psychol Aging. 2016 Nov; 31(7): 687-92.
Robinson SA, Lachman ME, Rickenbach EH. Self-regulatory strategies in daily life: Selection, optimization, and compensation and everyday memory problems. Int J Behav Dev. 2016 Mar; 40(2): 126-36.
Janke MC, Son JS, Payne LL. Self-regulation and adaptation of leisure activities among adults with arthritis. Act Adaptation Aging. 2009 Jun; 33(2): 65-80.
Tomaszewski Farias S, Gravano J, Weakley A, Schmitter-Edgecombe M, Harvey D, Mungas D, et al. The everyday compensation (EComp) questionnaire: construct validity and associations with diagnosis and longitudinal change in cognition and everyday function in older adults. J Int Neuropsychol Soc JINS. 2019;(Oct): 1-11.
Weakley A, Weakley AT, Schmitter-Edgecombe M. Compensatory strategy use improves real-world functional performance in community dwelling older adults. Neuropsychology. 2019 Nov; 33(8): 1121-35.
Tomaszewski Farias S, Schmitter-Edgecombe M, Weakley A, Harvey D, Denny KG, Barba C, et al. Compensation strategies in older adults: association with cognition and everyday function. Am J Alzheimers Dis Other Demen. 2018 May; 33(3): 184-91.
Schmitter-Edgecombe M, Parsey C, Lamb R. Development and psychometric properties of the instrumental activities of daily living: compensation scale. Arch Clin Neuropsychol. 2014 Dec; 29(8): 776-92.
Hess TM. Selective engagement of cognitive resources: motivational influences on older adults' cognitive functioning. Perspect Psychol Sci. 2014 Jul; 9(4): 388-407.
Bäckman L, Dixon RA. Psychological compensation: a theoretical framework. Psychol Bull. 1992 Sep; 112(2): 259-83.
Jopp D, Smith J. Resources and life-management strategies as determinants of successful aging: on the protective effect of selection, optimization, and compensation. Psychol Aging. 2006 Jun; 21(2): 253-65.
Lang FR, Rieckmann N, Baltes MM. Adapting to aging losses: do resources facilitate strategies of selection, compensation, and optimization in everyday functioning? J Gerontol Ser B. 2002 Nov; 57(6):P501-9.
Gignac MA, Cott C, Badley EM. Adaptation to disability: applying selective optimization with compensation to the behaviors of older adults with osteoarthritis. Psychol Aging. 2002 Sep; 17(3): 520-4.
Carpentieri JD, Elliott J, Brett CE, Deary IJ. Adapting to aging: older people talk about their use of selection, optimization, and compensation to maximize well-being in the context of physical decline. J Gerontol B Psychol Sci Soc Sci. 2017 Mar; 72(2): 351-61.
Rozario PA, Kidahashi M, DeRienzis DR. Selection, optimization, and compensation: strategies to maintain, maximize, and generate resources in later life in the face of chronic illnesses. J Gerontol Soc Work. 2011 Feb; 54(2): 224-39.
de Frias CM, Dixon RA, Bäckman L. Use of memory compensation strategies is related to psychosocial and health indicators. J Gerontol B Psychol Sci Soc Sci. 2003 Jan; 58(1): 12-22.
Garrett DD, Grady CL, Hasher L. Everyday memory compensation: the impact of cognitive reserve, subjective memory, and stress. Psychol Aging. 2010 Mar; 25(1): 74-83.
Brinkmann K, Gendolla GH. Does depression interfere with effort mobilization? Effects of dysphoria and task difficulty on cardiovascular response. J Pers Soc Psychol. 2008 Jan; 94(1): 146-57.
Esposito F, Rochat L, Juillerat Van der Linden AC, Lekeu F, Charnallet A, Van der Linden M. Apathy in aging: are lack of interest and lack of initiative dissociable? Arch Gerontol Geriatr. 2014 Jan-Feb; 58(1): 43-50.
Folstein MF, Folstein SE, McHugh PR. "Minimental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975 Nov; 12(3): 189-98.
Rochat L, Billieux J, Juillerat Van der Linden AC, Annoni JM, Zekry D, Gold G, et al. A multidimensional approach to impulsivity changes in mild Alzheimer's disease and control participants: cognitive correlates. Cortex. 2013 Jan; 49(1): 90-100.
Wechsler D. Wechsler adult intelligence scale. Third. San Antonio (TX): The Psychological Corporation; 1997.
Tombaugh TN. Trail Making Test A and B: normative data stratified by age and education. Arch Clin Neuropsychol. 2004 Mar; 19(2): 203-14.
Fuhrer R, Rouillon F. La version française de l'échelle CES-D (Center for Epidemiologic Studies-Depression Scale). Description et traduction de l'échelle d'autoévaluation [The French version of the CES-D (Center for Epidemiologic Studies-Depression Scale)]. Psychiatr Psychobiol. 1989; 4(3): 163-6.
Fereday J, Muir-Cochrane E. Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development. Int J Qual Methods. 2006 Mar; 5(1): 80-92.
Baltes PB, Baltes MM, Freund AM, Lang FR. Measurement of selective optimization with compensation by questionnaire. Berlin: Max Planck Institute for Human Development; 1995.
Sandelowski M, Voils CI, Knafl G. On quantitizing. J Mixed Methods Res. 2009 Jul; 3(3): 208-22.
Horn JL, Cattell RB. Age differences in fluid and crystallized intelligence. Acta Psychol (Amst). 1967; 26(2): 107-29.
Freund AM, Nikitin J, Riediger M. Successful aging. In: Lerner RM, Easterbrooks MA, Mistry J, editors. Handbook of psychology. 2nd ed. New York (NY): John Wiley & Sons; 2012. pp. 615-38.
Knecht M, Freund A. The use of selection, optimization, and compensation (SOC) in goal pursuit in the daily lives of middle-aged adults. Eur J Dev Psychol. 2017; 14(3): 350-66.
Boker SM. Selection, optimization, compensation, and equilibrium dynamics. GeroPsych (Bern). 2013 Jan; 26(1): 61-73.