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Home›Coefficient of Variation›Cumulative life course adversity, mental health, and cognition in the UK biobank

Cumulative life course adversity, mental health, and cognition in the UK biobank

By Maureen Bellinger
August 30, 2022
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  • Aartsen, M. J. et al. Advantaged socioeconomic conditions in childhood are associated with higher cognitive functioning but stronger cognitive decline in older age. Proc. Natl. Acad. Sci. 116, 5478–5486 (2019).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Künzi, M. et al. The relationship between life course socioeconomic conditions and objective and subjective memory in older age. Brain Sci. 11, 1–16 (2021).

    Article 

    Google Scholar 

  • Richards, M. & Wadsworth, M. E. J. Long term effects of early adversity on cognitive function. Arch. Dis. Child. 89, 922–927 (2004).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Shonkoff, J. P. & Garner, A. S. Committee on psychosocial aspects of child and family health, committee on early childhood, adoption, and dependent care, and section on developmental and behavioral pediatrics. The lifelong effects of early childhood adversity and toxic stress. Pediatrics 129, 232–246 (2012).

    Article 

    Google Scholar 

  • Feeney, J., Kamiya, Y., Robertson, I. H. & Kenny, R. A. Cognitive function is preserved in older adults with a reported history of childhood sexual abuse. J. Trauma. Stress 26, 735–743 (2013).

    PubMed 
    Article 

    Google Scholar 

  • Künzi, M. et al. Life course adversity and cognitive aging: Specificity of adversity and the life period of adversity exposure. (2022).

  • Rosnick, C. B., Small, B. J., McEvoy, C. L., Borenstein, A. R. & Mortimer, J. A. Negative life events and cognitive performance in a population of older adults. J. Aging Health 19, 612–629 (2007).

    PubMed 
    Article 

    Google Scholar 

  • Nelson, C. A., Bhutta, Z. A., Harris, N. B., Danese, A. & Samara, M. Adversity in childhood is linked to mental and physical health throughout life. BMJ 371, m3048 (2020).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Stern, K. R. & Thayer, Z. M. Adversity in childhood and young adulthood predicts young adult depression. Int. J. Public Health 64, 1069–1074 (2019).

    PubMed 
    Article 

    Google Scholar 

  • YoungMinds. Addressing adversity. (2018).

  • Bick, J. & Nelson, C. A. Early adverse experiences and the developing brain. Neuropsychopharmacology 41, 177–196 (2016).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Green, J. G. et al. Childhood adversities and adult psychiatric disorders in the National Comorbidity Survey Replication I: Associations with first onset of DSM-IV disorders. Arch. Gen. Psychiatry 67, 113–123 (2010).

    ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • McEwen, B. S. Physiology and neurobiology of stress and adaptation: Central role of the brain. Physiol. Rev. 87, 873–904 (2007).

    PubMed 
    Article 

    Google Scholar 

  • Seery, M. D., Holman, E. A. & Silver, R. C. Whatever does not kill us: Cumulative lifetime adversity, vulnerability, and resilience. J. Pers. Soc. Psychol. 99, 1025–1041 (2010).

    PubMed 
    Article 

    Google Scholar 

  • McEwen, B. S. & Gianaros, P. J. Stress- and allostasis-induced brain plasticity. Annu. Rev. Med. 62, 431–445 (2011).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • McEwen, B. S. Protective and damaging effects of stress mediators: Central role of the brain. Dialogues Clin. Neurosci. 8, 367–381 (2006).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Ansell, E. B., Rando, K., Tuit, K., Guarnaccia, J. & Sinha, R. Cumulative adversity and smaller gray matter volume in medial prefrontal, anterior cingulate, and insula regions. Biol. Psychiatry 72, 57–64 (2012).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Chapman, D. P. et al. Adverse childhood experiences and the risk of depressive disorders in adulthood. J. Affect. Disord. 82, 217–225 (2004).

    ADS 
    PubMed 
    Article 

    Google Scholar 

  • Letkiewicz, A. M., Weldon, A. L., Tengshe, C., Niznikiewicz, M. A. & Heller, W. Cumulative childhood maltreatment and executive functioning in adulthood. J. Aggress. Maltreatment Trauma 30, 547–563 (2021).

    Article 

    Google Scholar 

  • Schilling, E. A., Aseltine, R. H. & Gore, S. The impact of cumulative childhood adversity on young adult mental health: Measures, models, and interpretations. Soc. Sci. Med. 1982(66), 1140–1151 (2008).

    Article 

    Google Scholar 

  • Lupien, S. J., McEwen, B. S., Gunnar, M. R. & Heim, C. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat. Rev. Neurosci. 10, 434–445 (2009).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Hart, H. & Rubia, K. Neuroimaging of child abuse: A critical review. Front. Hum. Neurosci. 6, 52 (2012).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • De Bellis, M. D. The psychobiology of neglect. Child Maltreat. 10, 150–172 (2005).

    PubMed 
    Article 

    Google Scholar 

  • Siddiqui, S. V., Chatterjee, U., Kumar, D., Siddiqui, A. & Goyal, N. Neuropsychology of prefrontal cortex. Indian J. Psychiatry 50, 202–208 (2008).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Hanson, J. et al. Early neglect is associated with alterations in white matter integrity and cognitive functioning. Child Dev. https://doi.org/10.1111/cdev.12069 (2013).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Madden, D. J., Bennett, I. J. & Song, A. W. Cerebral white matter integrity and cognitive aging: Contributions from diffusion tensor imaging. Neuropsychol. Rev. 19, 415–435 (2009).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Nilsson, J., Thomas, A. J., O’Brien, J. T. & Gallagher, P. White matter and cognitive decline in aging: A focus on processing speed and variability. J. Int. Neuropsychol. Soc. 20, 262–267 (2014).

    PubMed 
    Article 

    Google Scholar 

  • Haynes, B. I., Bauermeister, S. & Bunce, D. A systematic review of longitudinal associations between reaction time intraindividual variability and age-related cognitive decline or impairment, dementia, and mortality. J. Int. Neuropsychol. Soc. 23, 431–445 (2017).

    PubMed 
    Article 

    Google Scholar 

  • Lövdén, M., Li, S.-C., Shing, Y. L. & Lindenberger, U. Within-person trial-to-trial variability precedes and predicts cognitive decline in old and very old age: Longitudinal data from the Berlin Aging Study. Neuropsychologia 45, 2827–2838 (2007).

    PubMed 
    Article 

    Google Scholar 

  • Poole, J. C., Dobson, K. S. & Pusch, D. Childhood adversity and adult depression: The protective role of psychological resilience. Child Abuse Negl. 64, 89–100 (2017).

    PubMed 
    Article 

    Google Scholar 

  • Humphreys, K. L. et al. Child maltreatment and depression: A meta-analysis of studies using the Childhood Trauma Questionnaire. Child Abuse Negl. 102, 104361 (2020).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Geraets, A. F. J. et al. The relation of depression with structural brain abnormalities and cognitive functioning: The Maastricht study. Psychol. Med. https://doi.org/10.1017/S0033291721000222 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Rock, P. L., Roiser, J. P., Riedel, W. J. & Blackwell, A. D. Cognitive impairment in depression: A systematic review and meta-analysis. Psychol. Med. 44, 2029–2040 (2014).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • McDermott, L. M. & Ebmeier, K. P. A meta-analysis of depression severity and cognitive function. J. Affect. Disord. 119, 1–8 (2009).

    PubMed 
    Article 

    Google Scholar 

  • Belanoff, J. K., Gross, K., Yager, A. & Schatzberg, A. F. Corticosteroids and cognition. J. Psychiatr. Res. 35, 127–145 (2001).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Holsboer, F. Stress, hypercortisolism and corticosteroid receptors in depression: Implications for therapy. J. Affect. Disord. 62, 77–91 (2001).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Bauermeister, S. & Gallacher, J. A psychometric evaluation of the 12-item EPQ-R neuroticism scale in 384,183 UK Biobank participants using item response theory (IRT). bioRxiv 741249 (2019) https://doi.org/10.1101/741249.

  • Sudlow, C. et al. UK Biobank: An open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12, e1001779 (2015).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Smith, D. J. et al. Prevalence and characteristics of probable major depression and bipolar disorder within UK Biobank: Cross-sectional study of 172,751 participants. PLoS ONE 8, e75362 (2013).

    ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Fawns-Ritchie, C. & Deary, I. J. Reliability and validity of the UK Biobank cognitive tests. PLoS ONE 15, e0231627 (2020).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Gheorghe, D. A., Li, C., Gallacher, J. & Bauermeister, S. Associations of perceived adverse lifetime experiences with brain structure in UK Biobank participants. J. Child Psychol. Psychiatry 62, 822–830 (2020).

    PubMed 
    Article 

    Google Scholar 

  • Glaesmer, H. et al. The childhood trauma screener (CTS)—development and validation of cut-off-scores for classificatory diagnostics. Psychiatr. Prax. 40, 220–226 (2013).

    PubMed 
    Article 

    Google Scholar 

  • Khalifeh, H., Oram, S., Trevillion, K., Johnson, S. & Howard, L. M. Recent intimate partner violence among people with chronic mental illness: Findings from a national cross-sectional survey. Br. J. Psychiatry J. Ment. Sci. 207, 207–212 (2015).

    Article 

    Google Scholar 

  • Bunce, D. & Bauermeister, S. Intraindividual reaction time variability, attention, and age-related outcomes. Oxf. Res. Encycl. Psychol. https://doi.org/10.1093/acrefore/9780190236557.013.371 (2019).

    Article 

    Google Scholar 

  • Piumatti, G., Moore, S. C., Berridge, D. M., Sarkar, C. & Gallacher, J. The relationship between alcohol use and long-term cognitive decline in middle and late life: A longitudinal analysis using UK Biobank. J. Public Health 40, 304–311 (2018).

    Article 

    Google Scholar 

  • Acock, A. C. A gentle introduction to Stata (Stata Press, 2018).

    MATH 

    Google Scholar 

  • Reitan, R. M. Validity of the trail making test as an indicator of organic brain damage. Percept. Mot. Skills 8, 271–276 (1958).

    Article 

    Google Scholar 

  • Arbuthnott, K. & Frank, J. Trail making test, Part B as a measure of executive control: Validation using a set-switching paradigm. J. Clin. Exp. Neuropsychol. 22, 518–528 (2000).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Bauermeister, S. et al. Evaluating the harmonisation potential of diverse cohort datasets. (2022).

  • Shreffler, J. & Huecker, M. R. Type I and Type II errors and statistical power. StatPearls [Internet] (StatPearls Publishing, 2022).

  • Bauermeister, S. & Bunce, D. Poorer mental health is associated with cognitive deficits in old age. Neuropsychol. Dev. Cogn. B Aging Neuropsychol. Cogn. 22, 95–105 (2015).

    PubMed 
    Article 

    Google Scholar 

  • Bunce, D., Handley, R. & Gaines, S. O. Jr. Depression, anxiety, and within-person variability in adults aged 18 to 85 years. Psychol. Aging 23, 848–858 (2008).

    PubMed 
    Article 

    Google Scholar 

  • Firbank, M. J. et al. Relationship between progression of brain white matter changes and late-life depression: 3-year results from the LADIS Study. Br. J. Psychiatry 201, 40–45 (2012).

    PubMed 
    Article 

    Google Scholar 

  • Godin, O. et al. White matter lesions as a predictor of depression in the elderly: The 3C-Dijon Study. Biol. Psychiatry 63, 663–669 (2008).

    PubMed 
    Article 

    Google Scholar 

  • Hu, L. & Bentler, P. M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6, 1–55 (1999).

    Article 

    Google Scholar 

  • Kline, R. B. Principles and practice of structural equation modeling 4th edn. (Guilford Publications, 2015).

    MATH 

    Google Scholar 

  • Heim, C., Newport, D. J., Mletzko, T., Miller, A. H. & Nemeroff, C. B. The link between childhood trauma and depression: Insights from HPA axis studies in humans. Psychoneuroendocrinology 33, 693–710 (2008).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Murman, D. L. The impact of age on cognition. Semin. Hear. 36, 111–121 (2015).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Hultsch, D. F., MacDonald, S. W. S. & Dixon, R. A. Variability in reaction time performance of younger and older adults. J. Gerontol. B. Psychol. Sci. Soc. Sci. 57, P101-115 (2002).

    PubMed 
    Article 

    Google Scholar 

  • Bielak, A. A. M., Cherbuin, N., Bunce, D. & Anstey, K. J. Intraindividual variability is a fundamental phenomenon of aging: Evidence from an 8-year longitudinal study across young, middle, and older adulthood. Dev. Psychol. 50, 143–151 (2014).

    PubMed 
    Article 

    Google Scholar 

  • MacDonald, S. W. S., Hultsch, D. F. & Dixon, R. A. Performance variability is related to change in cognition: Evidence from the Victoria Longitudinal Study. Psychol. Aging 18, 510–523 (2003).

    PubMed 
    Article 

    Google Scholar 

  • Sutin, A. R. et al. The trajectory of depressive symptoms across the adult life span. JAMA Psychiat. 70, 803–811 (2013).

    Article 

    Google Scholar 

  • Luppa, M. et al. Age- and gender-specific prevalence of depression in latest-life—Systematic review and meta-analysis. J. Affect. Disord. 136, 212–221 (2012).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Girgus, J. S. & Yang, K. Gender and depression. Curr. Opin. Psychol. 4, 53–60 (2015).

    Article 

    Google Scholar 

  • Nichols, E. S., Wild, C. J., Owen, A. M. & Soddu, A. Cognition across the lifespan: Investigating age, sex, and other sociodemographic influences. Behav. Sci. Basel Switz. 11, 51 (2021).

    Google Scholar 

  • Kessler, R. C., McGonagle, K. A., Swartz, M., Blazer, D. G. & Nelson, C. B. Sex and depression in the National Comorbidity Survey I: Lifetime prevalence, chronicity and recurrence. J. Affect. Disord. 29, 85–96 (1993).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Lövdén, M., Fratiglioni, L., Glymour, M. M., Lindenberger, U. & Tucker-Drob, E. M. Education and cognitive functioning across the life span. Psychol. Sci. Public Interest 21, 6–41 (2020).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Dube, S. R., Williamson, D. F., Thompson, T., Felitti, V. J. & Anda, R. F. Assessing the reliability of retrospective reports of adverse childhood experiences among adult HMO members attending a primary care clinic. Child Abuse Negl. 28, 729–737 (2004).

    PubMed 
    Article 

    Google Scholar 

  • Chamberlain, S. R. & Sahakian, B. J. The neuropsychology of mood disorders. Curr. Psychiatry Rep. 8, 458–463 (2006).

    PubMed 
    Article 

    Google Scholar 

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