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Early-life participation in cognitively stimulating activities and risk of depression and anxiety in late life

Published online by Cambridge University Press:  14 September 2023

Xinye Qiu*
Affiliation:
Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
Andrea L. Robert
Affiliation:
Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
Kaleigh McAlaine
Affiliation:
Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
Luwei Quan
Affiliation:
Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
Joseph Mangano
Affiliation:
Metals and Metal Mixtures, Cognitive Aging, Remediation and Exposure Sources (MEMCARE) Harvard Radiation and Public Health Project, Inc., Boston, MA, USA
Marc G. Weisskopf
Affiliation:
Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
*
Corresponding author: Xinye Qiu; Email: xqiu@hsph.harvard.edu

Abstract

Background

Early-life stressful experiences are associated with increased risk of adverse psychological outcomes in later life. However, much less is known about associations between early-life positive experiences, such as participation in cognitively stimulating activities, and late-life mental health. We investigated whether greater engagement in cognitively stimulating activities in early life is associated with lower risk of depression and anxiety in late life.

Methods

We surveyed former participants of the St. Louis Baby Tooth study, between 22 June 2021 and 25 March 2022 to collect information on participants' current depression/anxiety symptoms and their early-life activities (N = 2187 responded). A composite activity score was created to represent the early-life activity level by averaging the frequency of self-reported participation in common cognitively stimulating activities in participants' early life (age 6, 12, 18), each rated on a 1 (least frequent) to 5 (most frequent) point scale. Depression/anxiety symptoms were measured by Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Screener (GAD-7). We used logistic regressions to estimate odds ratios (OR) and 95% confidence intervals (CI) of outcome risk associated with frequency of early-life activity.

Results

Each one-point increase in the early-life composite cognitive activity score was associated with an OR of 0.54 (95% CI 0.38–0.77) for late-life depression and an OR of 0.94 (95% CI 0.61–1.43) for late-life anxiety, adjusting for age, sex, race, parental education, childhood family structure, and socioeconomic status.

Conclusions

More frequent participation in cognitively stimulating activities during early life was associated with reduced risk of late-life depression.

Type
Original Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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References

Beaudreau, S. A., & O'Hara, R. (2008). Late-life anxiety and cognitive impairment: A review. American Journal of Geriatric Psychiatry, 16(10), 790803. doi: 10.1097/JGP.0b013e31817945c3CrossRefGoogle ScholarPubMed
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018). Religious orders study and rush memory and aging project. Journal of Alzheimer's Disease, 64(s1), S161s189. doi: 10.3233/jad-179939CrossRefGoogle ScholarPubMed
Bethell, C., Jones, J., Gombojav, N., Linkenbach, J., & Sege, R. (2019). Positive childhood experiences and adult mental and relational health in a statewide sample: Associations across adverse childhood experiences levels. JAMA Pediatrics, 173(11), e193007. doi: 10.1001/jamapediatrics.2019.3007CrossRefGoogle Scholar
Boelens, M., Smit, M. S., Raat, H., Bramer, W. M., & Jansen, W. (2022). Impact of organized activities on mental health in children and adolescents: An umbrella review. Preventive Medicine Reports, 25, 101687. doi: 10.1016/j.pmedr.2021.101687CrossRefGoogle ScholarPubMed
Brooks-Gunn, J. (1997). Neighborhood poverty: Context and consequences for children (Vol. 1). New York, NY: Russell Sage Foundation.Google Scholar
Bungay, H., & Vella-Burrows, T. (2013). The effects of participating in creative activities on the health and well-being of children and young people: A rapid review of the literature. Perspectives in Public Health, 133(1), 4452. doi: 10.1177/1757913912466946CrossRefGoogle Scholar
Cairns, K. E., Yap, M. B. H., Pilkington, P. D., & Jorm, A. F. (2014). Risk and protective factors for depression that adolescents can modify: A systematic review and meta-analysis of longitudinal studies. Journal of Affective Disorders, 169, 6175.CrossRefGoogle ScholarPubMed
Carr, C. P., Martins, C. M., Stingel, A. M., Lemgruber, V. B., & Juruena, M. F. (2013). The role of early life stress in adult psychiatric disorders: A systematic review according to childhood trauma subtypes. The Journal of Nervous and Mental Disease, 201(12), 10071020. doi: 10.1097/nmd.0000000000000049CrossRefGoogle ScholarPubMed
Cooper, K., & Stewart, K. (2013). Does money affect children's outcomes?.Google Scholar
Cooper, K., & Stewart, K. (2017). Does money affect children's outcomes? An update.Google Scholar
Coulton, C. J., Crampton, D. S., Irwin, M., Spilsbury, J. C., & Korbin, J. E. (2007). How neighborhoods influence child maltreatment: A review of the literature and alternative pathways. Child Abuse & Neglect, 31(11–12), 11171142. doi: 10.1016/j.chiabu.2007.03.023CrossRefGoogle ScholarPubMed
de Girolamo, G., Dagani, J., Purcell, R., Cocchi, A., & McGorry, P. D. (2012). Age of onset of mental disorders and use of mental health services: Needs, opportunities and obstacles. Epidemiology and Psychiatric Sciences, 21(1), 4757. doi: 10.1017/s2045796011000746CrossRefGoogle ScholarPubMed
Desha, L. N., & Ziviani, J. M. (2007). Use of time in childhood and adolescence: A literature review on the nature of activity participation and depression. Australian Occupational Therapy Journal, 54(1), 410.CrossRefGoogle Scholar
Dunn, E. C., McLaughlin, K. A., Slopen, N., Rosand, J., & Smoller, J. W. (2013). Developmental timing of child maltreatment and symptoms of depression and suicidal ideation in young adulthood: Results from the National Longitudinal Study of Adolescent Health. Depression & Anxiety, 30(10), 955964.Google ScholarPubMed
Dunn, E. C., Nishimi, K., Gomez, S. H., Powers, A., & Bradley, B. (2018). Developmental timing of trauma exposure and emotion dysregulation in adulthood: Are there sensitive periods when trauma is most harmful? Journal of Affective Disorders, 227, 869877.CrossRefGoogle ScholarPubMed
Elliott, M. (2000). The stress process in neighborhood context. Health & Place, 6(4), 287299. doi: 10.1016/s1353–8292(00)00010-1CrossRefGoogle ScholarPubMed
Everson-Rose, S. A., Mendes de Leon, C. F., Bienias, J. L., Wilson, R. S., & Evans, D. A. (2003). Early life conditions and cognitive functioning in later life. American Journal of Epidemiology, 158(11), 10831089. doi: 10.1093/aje/kwg263CrossRefGoogle ScholarPubMed
Fabrigar, L. R., & Wegener, D. T. (2011). Exploratory factor analysis. New York, NY: Oxford University Press.CrossRefGoogle Scholar
Fonagy, P., Gergely, G., & Target, M. (2007). The parent–infant dyad and the construction of the subjective self. Journal of Child Psychology and Psychiatry, 48(3-4), 288328.CrossRefGoogle ScholarPubMed
Gergely, G., Fonagy, P., Jurist, E., & Target, M. (2002). Affect regulation, mentalization, and the development of the self. International Journal of Psychoanalysis, 77, 217234.Google Scholar
Gibb, B. E., Butler, A. C., & Beck, J. S. (2003). Childhood abuse, depression, and anxiety in adult psychiatric outpatients. Depression & Anxiety, 17(4), 226228.CrossRefGoogle ScholarPubMed
Goghari, V. M., & Lawlor-Savage, L. (2018). Self-perceived benefits of cognitive training in healthy older adults. Frontiers in Aging Neuroscience, 10, 112. doi: 10.3389/fnagi.2018.00112CrossRefGoogle ScholarPubMed
Guo, S., O'Connor, M., Mensah, F., Olsson, C. A., Goldfeld, S., Lacey, R. E., … Priest, N. (2022). Measuring positive childhood experiences: Testing the structural and predictive validity of the health outcomes from positive experiences (HOPE) framework. Academic Pediatrics, 22(6), 942951.CrossRefGoogle ScholarPubMed
Halse, I., Bjørkløf, G. H., Engedal, K., Selbæk, G., & Barca, M. L. (2021). Locus of control and its associations with depressive symptoms amongst people with dementia. Dementia and Geriatric Cognitive Disorders, 50(3), 258265. doi: 10.1159/000517936CrossRefGoogle ScholarPubMed
Herzog, J. I., & Schmahl, C. (2018). Adverse childhood experiences and the consequences on neurobiological, psychosocial, and somatic conditions across the lifespan. Frontiers in Psychiatry, 9, 420. doi: 10.3389/fpsyt.2018.00420CrossRefGoogle ScholarPubMed
Hovens, J. G., Giltay, E. J., Wiersma, J. E., Spinhoven, P., Penninx, B. W., & Zitman, F. G. (2012). Impact of childhood life events and trauma on the course of depressive and anxiety disorders. Acta Psychiatrica Scandinavica, 126(3), 198207.CrossRefGoogle ScholarPubMed
Howard, M. C. (2016). A review of exploratory factor analysis decisions and overview of current practices: What we are doing and how can we improve? International Journal of Human-computer Interaction, 32(1), 5162.CrossRefGoogle Scholar
Jackson, D. (2013). Confidence intervals for the between-study variance in random effects meta-analysis using generalised Cochran heterogeneity statistics. Research Synthesis Methods, 4(3), 220229.CrossRefGoogle ScholarPubMed
Jones, P. B. (2013). Adult mental health disorders and their age at onset. British Journal of Psychiatry Supplement, 54, s510. doi: 10.1192/bjp.bp.112.119164CrossRefGoogle ScholarPubMed
Kerig, P. K. (1995). Triangles in the family circle: Effects of family structure on marriage, parenting, and child adjustment. Journal of Family Psychology, 9(1), 28.CrossRefGoogle Scholar
Kessler, R. C., McGonagle, K. A., Zhao, S., Nelson, C. B., Hughes, M., Eshleman, S., … Kendler, K. S. (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: Results from the National Comorbidity Survey. Archives of General Psychiatry, 51(1), 819.CrossRefGoogle ScholarPubMed
Knifton, L., & Inglis, G. (2020). Poverty and mental health: Policy, practice and research implications. BJPsych Bulletin, 44(5), 193196.CrossRefGoogle ScholarPubMed
Kohen, D. E., Leventhal, T., Dahinten, V. S., & McIntosh, C. N. (2008). Neighborhood disadvantage: Pathways of effects for young children. Child Development, 79(1), 156169. doi: 10.1111/j.1467-8624.2007.01117.xCrossRefGoogle ScholarPubMed
Kroenke, K., & Spitzer, R. L. (2002). The PHQ-9: A new depression diagnostic and severity measure (Vol. 32, pp. 509515). Thorofare, NJ: SLACK Incorporated.Google Scholar
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606613.CrossRefGoogle ScholarPubMed
Kuhar, M., & Zager Kocjan, G. (2021). Associations of adverse and positive childhood experiences with adult physical and mental health and risk behaviours in Slovenia. European Journal of Psychotraumatology, 12(1), 1924953. doi: 10.1080/20008198.2021.1924953CrossRefGoogle ScholarPubMed
Landau, S. M., Marks, S. M., Mormino, E. C., Rabinovici, G. D., Oh, H., O'Neil, J. P., … Jagust, W. J. (2012). Association of lifetime cognitive engagement and low β-amyloid deposition. Archives of Neurology, 69(5), 623629.Google ScholarPubMed
LeMoult, J., Humphreys, K. L., Tracy, A., Hoffmeister, J. A., Ip, E., & Gotlib, I. H. (2020). Meta-analysis: Exposure to early life stress and risk for depression in childhood and adolescence. Journal of the American Academy of Child & Adolescent Psychiatry, 59(7), 842855. doi: 10.1016/j.jaac.2019.10.011CrossRefGoogle ScholarPubMed
Li, B. J., Friston, K., Mody, M., Wang, H. N., Lu, H. B., & Hu, D. W. (2018). A brain network model for depression: From symptom understanding to disease intervention. CNS Neuroscience & Therapeutics, 24(11), 10041019. doi: 10.1111/cns.12998CrossRefGoogle ScholarPubMed
Lindert, J., von Ehrenstein, O. S., Grashow, R., Gal, G., Braehler, E., & Weisskopf, M. G. (2014). Sexual and physical abuse in childhood is associated with depression and anxiety over the life course: Systematic review and meta-analysis. International Journal of Public Health, 59(2), 359372. doi: 10.1007/s00038-013-0519-5CrossRefGoogle ScholarPubMed
Lipsitch, M., Tchetgen Tchetgen, E., & Cohen, T. (2010). Negative controls: A tool for detecting confounding and bias in observational studies. Epidemiology, 21(3), 383388. doi: 10.1097/EDE.0b013e3181d61eebCrossRefGoogle ScholarPubMed
Macintyre, A., Ferris, D., Gonçalves, B., & Quinn, N. (2018). What has economics got to do with it? The impact of socioeconomic factors on mental health and the case for collective action. Palgrave Communications, 4(1), 15.CrossRefGoogle Scholar
Malda-Castillo, J., Browne, C., & Perez-Algorta, G. (2019). Mentalization-based treatment and its evidence-base status: A systematic literature review. Psychology and Psychotherapy: Theory, Research and Practice, 92(4), 465498.CrossRefGoogle ScholarPubMed
Manson, S., Schroeder, J., Riper, D. V., Kugler, T., & Ruggles, S. (2021). IPUMS National Historical Geographic Information System: Version 16.0 Publication no. http://doi.org/10.18128/D050.V16.0. from IPUMS.CrossRefGoogle Scholar
Mason, M. J., Schmidt, C., Abraham, A., Walker, L., & Tercyak, K. (2009). Adolescents’ social environment and depression: Social networks, extracurricular activity, and family relationship influences. Journal of Clinical Psychology in Medical Settings, 16(4), 346354. doi: 10.1007/s10880-009-9169-4CrossRefGoogle ScholarPubMed
McFarlane, A. H., Bellissimo, A., & Norman, G. R. (1995). Family structure, family functioning and adolescent well-being: The transcendent influence of parental style. Journal of Child Psychology & Psychiatry, 36(5), 847864. doi: 10.1111/j.1469-7610.1995.tb01333.xCrossRefGoogle ScholarPubMed
Miech, R. A., Caspi, A., Moffitt, T. E., Wright, B. R. E., & Silva, P. A. (1999). Low socioeconomic status and mental disorders: A longitudinal study of selection and causation during young adulthood. American Journal of Sociology, 104(4), 10961131.CrossRefGoogle Scholar
Narayan, A. J., Rivera, L. M., Bernstein, R. E., Harris, W. W., & Lieberman, A. F. (2018). Positive childhood experiences predict less psychopathology and stress in pregnant women with childhood adversity: A pilot study of the benevolent childhood experiences (BCEs) scale. Child Abuse & Neglect, 78, 1930. doi: 10.1016/j.chiabu.2017.09.022CrossRefGoogle ScholarPubMed
National Institute of Mental Health. Prevalence of Major Depressive Episode Among Adults. (2022). Retrieved from https://www.nimh.nih.gov/health/statistics/major-depressionGoogle Scholar
Oberle, E., Ji, X. R., Guhn, M., Schonert-Reichl, K. A., & Gadermann, A. M. (2019). Benefits of extracurricular participation in early adolescence: Associations with peer belonging and mental health. Journal of Youth & Adolescents, 48(11), 22552270. doi: 10.1007/s10964-019-01110-2CrossRefGoogle ScholarPubMed
Ozbay, F., Johnson, D. C., Dimoulas, E., Morgan, C. III, Charney, D., & Southwick, S. (2007). Social support and resilience to stress: From neurobiology to clinical practice. Psychiatry, 4(5), 35.Google ScholarPubMed
Pary, R., Sarai, S. K., Micchelli, A., & Lippmann, S. (2019). Anxiety disorders in older patients. The Primary Care Companion for CNS Disorders, 21(1), 23859.CrossRefGoogle ScholarPubMed
Plummer, F., Manea, L., Trepel, D., & McMillan, D. (2016). Screening for anxiety disorders with the GAD-7 and GAD-2: A systematic review and diagnostic metaanalysis. General Hospital Psychiatry, 39, 2431.CrossRefGoogle ScholarPubMed
Reiss, L. Z. (1961). Strontium-90 absorption by deciduous teeth. Science, 134(3491), 16691673. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/14491339CrossRefGoogle ScholarPubMed
Saleh, A., Potter, G. G., McQuoid, D. R., Boyd, B., Turner, R., MacFall, J. R., & Taylor, W. D. (2017). Effects of early life stress on depression, cognitive performance and brain morphology. Psychological Medicine, 47(1), 171181.CrossRefGoogle ScholarPubMed
Schultz, S. A., Larson, J., Oh, J., Koscik, R., Dowling, M. N., Gallagher, C. L., … Asthana, S. (2015). Participation in cognitively-stimulating activities is associated with brain structure and cognitive function in preclinical Alzheimer's disease. Brain Imaging and Behavior, 9(4), 729736.CrossRefGoogle ScholarPubMed
Schwarzer, R., & Warner, L. M. (2013). Perceived self-efficacy and its relationship to resilience. In Prince-Embury, S. & Saklofske, D. H. (Eds.), Resilience in children, adolescents, and adults: Translating research into practice (pp. 139150). New York: Springer.CrossRefGoogle Scholar
Scult, M. A., Paulli, A. R., Mazure, E. S., Moffitt, T. E., Hariri, A. R., & Strauman, T. J. (2017). The association between cognitive function and subsequent depression: A systematic review and meta-analysis. Psychological Medicine, 47(1), 117. doi: 10.1017/s0033291716002075CrossRefGoogle ScholarPubMed
Sege, R. D., & Browne, C. H. (2017). Responding to ACEs with HOPE: Health outcomes from positive experiences. Academic Pediatrics, 17(7), S79S85.CrossRefGoogle ScholarPubMed
Shim, R., Koplan, C., Langheim, F. J., Manseau, M. W., Powers, R. A., & Compton, M. T. (2014). The social determinants of mental health: An overview and call to action. Psychiatric Annals, 44(1), 2226.CrossRefGoogle Scholar
Slopen, N., Chen, Y., Guida, J. L., Albert, M. A., & Williams, D. R. (2017). Positive childhood experiences and ideal cardiovascular health in midlife: Associations and mediators. Preventive Medicine, 97, 7279. doi: 10.1016/j.ypmed.2017.01.002CrossRefGoogle ScholarPubMed
Soldan, A., Pettigrew, C., Zhu, Y., Wang, M. C., Bilgel, M., Hou, X., … Albert, M. (2021). Association of lifestyle activities with functional brain connectivity and relationship to cognitive decline among older adults. Cerebral Cortex, 31(12), 56375651. doi: 10.1093/cercor/bhab187CrossRefGoogle ScholarPubMed
Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 10921097.CrossRefGoogle ScholarPubMed
Tereno, S., Savelon, S. V., & Guedeney, A. (2019). Preventive parent–young child interaction interventions to promote optimal attachment. Current Opinion in Psychiatry, 32(6), 542548.CrossRefGoogle ScholarPubMed
Timonen, J., Niemelä, M., Hakko, H., Alakokkare, A., & Räsänen, S. (2021). Associations between adolescents’ social leisure activities and the onset of mental disorders in young adulthood. Journal of Youth & Adolescents, 50(9), 17571765.CrossRefGoogle ScholarPubMed
Viechtbauer, W. (2007). Hypothesis tests for population heterogeneity in meta-analysis. British Journal of Mathematical and Statistical Psychology, 60(1), 2960.CrossRefGoogle ScholarPubMed
Vink, D., Aartsen, M. J., & Schoevers, R. A. (2008). Risk factors for anxiety and depression in the elderly: A review. Journal of Affective Disorders, 106(1–2), 2944.CrossRefGoogle ScholarPubMed
Walsh, D., McCartney, G., Smith, M., & Armour, G. (2019). Relationship between childhood socioeconomic position and adverse childhood experiences (ACEs): A systematic review. Journal of Epidemiology & Community Health, 73(12), 10871093.CrossRefGoogle ScholarPubMed
Wang, S., & Blazer, D. G. (2015). Depression and cognition in the elderly. Annual Reviews in Clinical Psychology, 11, 331360. doi: 10.1146/annurev-clinpsy-032814-112828CrossRefGoogle ScholarPubMed
Weisskopf, M. G., Tchetgen Tchetgen, E. J., & Raz, R. (2016). Commentary: On the use of imperfect negative control exposures in epidemiologic studies. Epidemiology, 27(3), 365367. doi: 10.1097/ede.0000000000000454CrossRefGoogle ScholarPubMed
Wilson, R. S., Barnes, L. L., & Bennett, D. A. (2013a). Assessment of lifetime participation in cognitively stimulating activities. In Stern, Y. (Ed.), Cognitive reserve (pp. 159172). New York, NY: Psychology Press.Google Scholar
Wilson, R. S., Barnes, L. L., Krueger, K. R., Hoganson, G., Bienias, J. L., & Bennett, D. A. (2005). Early and late life cognitive activity and cognitive systems in old age. Journal of International Neuropsychological Society, 11(4), 400407.CrossRefGoogle ScholarPubMed
Wilson, R. S., Boyle, P. A., Yu, L., Barnes, L. L., Schneider, J. A., & Bennett, D. A. (2013b). Life-span cognitive activity, neuropathologic burden, and cognitive aging. Neurology, 81(4), 314321. doi: 10.1212/WNL.0b013e31829c5e8aCrossRefGoogle ScholarPubMed
Wolinsky, F. D., Vander Weg, M. W., Martin, R., Unverzagt, F. W., Willis, S. L., Marsiske, M., … Tennstedt, S. L. (2010). Does cognitive training improve internal locus of control among older adults? Journal of Gerontology. Series B, Psychological Sciences & Social Sciences, 65(5), 591598. doi: 10.1093/geronb/gbp117CrossRefGoogle ScholarPubMed
Xu, Z., Zhang, D., Ding, H., Zheng, X., Lee, R. C., Yang, Z., … Wong, S. Y. (2022). Association of positive and adverse childhood experiences with risky behaviours and mental health indicators among Chinese university students in Hong Kong: An exploratory study. European Journal of Psychotraumatology, 13(1), 2065429. doi: 10.1080/20008198.2022.2065429CrossRefGoogle Scholar
Zarobe, L., & Bungay, H. (2017). The role of arts activities in developing resilience and mental wellbeing in children and young people a rapid review of the literature. Perspectives in Public Health, 137(6), 337347. doi: 10.1177/1757913917712283CrossRefGoogle Scholar
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