Abstract
Models of personality and health emphasize the role of Five-Factor Model personality traits (particularly neuroticism and conscientiousness) in cognitive health outcomes. A complementary literature on lifecourse models of cognitive aging indicate that earlier life factors (socioeconomic status, adverse childhood experiences, childhood health) are critical for later life cognitive function and dementia risk. There is growing evidence that these earlier life factors also contribute to adult personality. The present review integrates models of personality and health into lifecourse models of cognitive aging and posits personality traits as central mechanisms between earlier life factors and cognitive health. Development of a more detailed lifespan model will help identify chains of risk and resilience to promote better late-life cognition, health, and well-being.
Keywords: Lifespan model, lifecourse, cognitive health, personality traits
Personality traits are associated consistently with cognitive health [1, 2]. As operationalized by the Five Factor Model (FFM), dispositional traits can be summarized across five dimensions: neuroticism (the tendency to feel negative emotions and vulnerability to stress), extraversion (the tendency to feel positive emotions and be sociable), openness (the tendency to be creative and unconventional), agreeableness (the tendency to be trusting and kind), and conscientiousness (the tendency to be organized and responsible) [3]. Of these five traits, neuroticism and conscientiousness are most consistently associated with better cognitive function in older adulthood: Individuals higher in neuroticism and lower in conscientiousness maintain their memory function longer over time [1] and have lower risk of developing Alzheimer’s disease and related dementias [4].
Models of personality and health emphasize the role that personality traits play in health outcomes across the lifespan [5]. In the context of cognitive aging, much of the work on these models has been devoted to identifying the mechanisms through which personality contributes to better cognitive outcomes [6]. Lifecourse approaches to cognitive health recognize the importance of early life factors and the cumulative effect of risk and protective factors that occur earlier in the lifespan on later life cognitive outcomes [7]. Recent evidence suggests that early life factors may contribute to personality in adulthood [8-10], raising the intriguing possibility that personality traits themselves may be a pathway through which early life factors contribute to cognitive health across the lifespan. This review presents a theoretical model that integrates models of personality and health into lifecourse models of cognitive aging. This novel model posits that personality traits are one mechanism through which early life factors contribute to cognitive outcomes across adulthood (Figure 1). We describe each component of this model below.
Figure 1.

Model of Five Factor Model personality traits as a mechanism between earlier life factors and later life cognitive health
Earlier Life Factors → Later Life Cognition (c path)
Lifecourse models of cognitive aging specify that cognitive health in older adulthood is in part the culmination of risk and protective factors across the lifespan [11, 12]. Socioeconomic status (SES) is a prominent factor within these models [13]. Educational attainment is perhaps the strongest and most consistent modifiable predictor of late-life cognitive outcomes: Individuals with more years of education have better cognitive function [14] and lower risk of dementia in older adulthood [15]. In addition to their own level of education, the education of the individual’s parents is also associated with better late-life cognitive health [16]. That is, parental education, as well as the broader socioeconomic environment in which one grows up, has long-lasting consequences for cognitive health in older adulthood [17]. Other factors that are markers of SES are also associated with dementia risk in older adulthood. Household crowding, a measure derived from the Census that is a marker of childhood SES, for example, is associated with greater risk of dementia, in part through the individual’s own educational attainment in adulthood [18]. Such outcomes may be due to the cumulative disadvantage that can be difficult to overcome [19], although higher SES in adulthood may help compensate for earlier life disadvantages [20].
In addition to the broad socioeconomic environment of childhood, more specific experiences, including adverse childhood experiences and childhood health, are also associated with late-life cognition. Individuals who experienced physical neglect or emotional abuse as children, for example, have a greater risk of dementia in older adulthood, as do those who have a greater number of adverse experiences [21]. Such experiences are likewise associated with worse cognitive function in general [22], and worse processing speed and verbal fluency in particular [23] prior to dementia in older adulthood. In addition, individuals who had poor health as children tend to have worse cognitive function and greater risk of dementia [17]. Such findings highlight that the circumstances and experiences that occur during development can have lasting consequences for cognitive aging.
Personality → Later Life Cognition and Dementia Risk (b path)
As described above, personality traits are associated consistently with cognitive health across the lifespan, including older adulthood. Of the Five-Factor Model traits, the association with cognitive function and dementia risk tends to be the most consistent for neuroticism and conscientiousness. Individuals higher in neuroticism, for example, report more cognitive symptoms [24], perform worse on cognitive tasks across a variety of domains, from processing speed to visuospatial ability [25], make more cognitive errors [26], are more likely to have subjective cognitive decline [27], are at greater risk of developing dementia [28], and are less likely to transition back to healthy from impaired status [29]. Individuals higher in conscientiousness, in contrast, have better outcomes across many of these aspects of cognitive health [24-29]. Finally, even after the onset of cognitive impairment, personality continues to be predictive of dementia-related outcomes. Individuals higher in neuroticism and lower in conscientiousness, for example, are more likely to experience behavioral and psychological symptoms of dementia, such as emotional dysregulation or decreased motivation, as reported by a caregiver [30].
Lifespan models of personality and health theorize that behavioral and clinical patterns associated with these traits are mechanisms that explain the association with health outcomes [31], including cognition [32]. Individuals higher in neuroticism and lower in conscientiousness, for example, are less physically active [33] and more likely to smoke and use other substances [34], which increases risk of dementia [35]. These traits are likewise associated with clinical risk factors, such as mid-life obesity [36], depression [37] and late-life hearing impairment [38], which are associated with greater dementia risk [35]. Neuroticism and conscientiousness further shape social factors, such as loneliness [39], that contribute to worse global cognitive function [40] and dementia risk [41].
Earlier Life Factors → Personality (a path)
As reviewed above, a large share of the research on personality and health has focused on personality as risk factors for health-related behaviors and outcomes. Less research has been devoted to the early life factors that contribute to adult personality. Traditional models of personality development have long emphasized the biological basis of personality traits, particularly genetics [42]. Behavioral genetics models use data from twins to model variance explained by genetic, shared environmental, and nonshared environmental factors [43]. These models tend to find that personality traits are moderately heritable (about 50% based on twin studies and 20% based on family and adoption studies) with the remaining variance generally due to nonshared environmental factors [43]. Large meta-analyses examining the molecular genetics of personality traits have found that personality variation is not due to one or two single nucleotide polymorphisms but rather the combined effect of a vast number of common genetic variants [44]. Molecular genetics studies further indicate that the heritability of personality tends to be lower (<10%) [44], although genome-wide studies estimate narrow heritability based mainly on additive effects while twin studies estimate broad heritability that also includes rare variants and non-additive effects.
This shift in understanding of the origins of personality traits has led to renewed interest in identifying environmental factors that contribute to personality traits across the lifespan. And, indeed, there is growing evidence that personality traits are shaped, in part, by early life environmental factors. One basic early life factor is the socioeconomic environment in which the person grows up, which, as described above, is critical for late-life cognitive health [14, 16]. One aspect of childhood SES is parental education, which is associated with offspring personality in adulthood. Parents with more education (either mothers or fathers) have offspring who score higher in openness and extraversion and lower in neuroticism [8]. These associations are apparent even among offspring who were adopted, which indicates the association between parent education and offspring personality is transmitted (at least in part) environmentally rather than solely genetically [8]. The association between childhood SES and personality starts early and is not limited to parent education. Children who live in neighborhoods with lower SES tend to score higher in aspects of neuroticism and lower in aspects of conscientiousness, associations that are independent of and in addition to the association between family SES and these characteristics [45].
Also similar to cognitive health, aspects of childhood beyond SES have been associated with adult personality traits. Adverse childhood experiences that have been implicated consistently in poor health outcomes in adulthood [46] also shape adult personality [47]. Individuals who experience any type of adverse experience (e.g., abuse, neglect) in childhood are higher in neuroticism and lower in conscientiousness as adults [9]. Childhood health has likewise been associated with adult personality. Individuals who report being in poor health as children tend to score higher in neuroticism and lower in conscientiousness in adulthood [10]. And individuals who were breastfed as infants (as reported by their mothers) are lower in neuroticism and higher in openness in adulthood [48]. Thus, many of the earlier life environmental factors that predict cognitive outcomes in later life are also predictive of adult personality.
There are several reasons why limited economic resources and adverse experiences in childhood may shape the development of personality traits that individuals carry into adulthood. The chronic stress associated with both lower SES and adversity may have behavioral (e.g., heighted vigilance, avoidance) and physiological (e.g., inflammation) consequences that contribute to trait development, particularly neuroticism and conscientiousness. Individuals may also develop strategies that maximize safety. Such strategies are likely to be adaptive in the short term but may undermine trait development and potentially health outcomes in the long term. Fewer economic resources and experiences with adversity may reduce the ability to effectively regulate emotions and behavior that consolidate into higher neuroticism and lower conscientiousness in adulthood.
Personality as a Mechanism of Lifespan Cognitive Health (ab/c’ paths)
The evidence from the broader literature on earlier life factors, personality, and cognition in older adulthood supports the theoretical model that implicates personality traits as a mechanism of the association between early life background and experiences and later life cognitive health. As reviewed above, empirical evidence supports each of the paths of this model and there is emerging evidence from studies that consider all paths simultaneously. Sesker and colleagues [49], for example, found that the association between the early life socioeconomic environment and later life risk of cognitive impairment was mediated by adult personality traits. Specifically, individuals who grew up with few economic resources tended to score higher in neuroticism and lower in conscientiousness in adulthood than individuals who grew up with more resources, and these two traits mediated the association between early life SES and risk of dementia in older adulthood; this pathway was not apparent for the other three traits (extraversion, openness, agreeableness). Conde-Sala and Garre-Olmo [50] found that experiencing the death of a parent in childhood was associated with both higher neuroticism and higher risk of dementia in older adulthood, and that higher neuroticism may contribute, in part, to the greater dementia risk associated with this early loss. The mediation also extends to cognitive function, in addition to impairment risk: Individuals who experienced adversity in childhood score higher in neuroticism in adulthood, which mediates the association between childhood adversity and executive function in adulthood [51]. Neuroticism was the only one of the five traits tested in these latter two studies. This growing literature thus provides support for a more comprehensive model of personality and cognitive health that outlines how early life experiences shape adult personality functioning as one mechanism to later life cognitive health.
Conclusion
The integration of models of personality and health into lifecourse models of cognitive aging provides a more comprehensive model to better identify chains of risk and resilience for cognitive health across the lifespan. Such a model connects life circumstances and personality factors and their mutual influence over time. For instance, poverty (risk) could lead to higher neuroticism (risk), increasing susceptibility to chronic diseases (risk), but higher SES or conscientiousness in adulthood (resilience) could buffer these effects. Such research is difficult, especially because ideally the paths would be tested simultaneously, which requires longitudinal lifespan data that ranges from early life to older adulthood. Many of these pathways are also likely to be reciprocal, which should also be tested. Still, by mapping these chains, we can pinpoint crucial stages where interventions may be most effective. Addressing an early risk factor can hopefully disrupt the chain, preventing poor health outcomes later in life. In contrast, bolstering resilience factors (e.g., increasing conscientiousness, reducing neuroticism) at any point could mitigate the impact of accumulated risks. This integrative conceptual model can be used to foster and guide future research to better understand the mechanisms through which earlier life factors lead to Alzheimer’s disease and related dementias. By accounting for the life history and complex realities that individuals and communities face, such research may identify points of prevention and intervention that are more likely to promote and achieve healthier cognitive aging.
Funding:
Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under Award Number RF1AG053297 and R01AG068093. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funder had no role in study design, analysis, interpretation, preparation of the manuscript for publication, or the decision to publish.
Footnotes
Declaration of interests: The authors declare no conflict of interest.
References
- [1]*. Sutin AR, Brown J, Luchetti M, Aschwanden D, Stephan Y, Terracciano A. Five-factor model personality traits and the trajectory of episodic memory: Individual-participant meta-analysis of 471,821 memory assessments from 120,640 participants. J Gerontol B Psychol Sci Soc Sci. 2023;78: 421–433. 10.1093/geronb/gbac154. This paper reports an individual-participant meta-analysis of the association between personality traits and change in episodic memory. Higher neuroticism and lower conscientiousness were associated with greater declines in objective episodic memory performance over time. This paper thus highlights the role of personality traits in cognitive aging.
- [2].Olaru G, Laukka EJ, Dekhtyar S, Sarwary A, Brehmer Y. Association between personality traits, leisure activities, and cognitive levels and decline across 12 years in older adults. Psychol Aging. 2023;38:277–90. https://psycnet.apa.org/doi/10.1037/pag0000743. [DOI] [PubMed] [Google Scholar]
- [3].McCrae RR, John OP. An introduction to the five-factor model and its applications. J Pers. 1992;60:175–215. 10.1111/j.1467-6494.1992.tb00970.x. [DOI] [PubMed] [Google Scholar]
- [4].Aschwanden D, Strickhouser JE, Luchetti M, Stephan Y, Sutin AR, Terracciano A. Is personality associated with dementia risk? A meta-analytic investigation. Ageing Res Rev. 2021;67:101269. 10.1016/j.arr.2021.101269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Friedman HS, Kern ML, Hampson SE, Duckworth AL. A new life-span approach to conscientiousness and health: combining the pieces of the causal puzzle. Dev Psychol. 2014;50:1377–89. 10.1037/a0030373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].Stephan Y, Sutin AR, Luchetti M, Aschwanden D, Terracciano A. Physical, cognitive, and social activities as mediators between personality and cognition: evidence from four prospective samples. Aging Ment Health. 2024;28:1294–303. 10.1080/13607863.2024.2320135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Reuter-Lorenz PA, Park DC. Cognitive aging and the life course: A new look at the Scaffolding theory. Curr Opin Psychol. 2024;56:101781. 10.1016/j.copsyc.2023.101781. [DOI] [PubMed] [Google Scholar]
- [8].Sutin AR, Luchetti M, Stephan Y, Robins RW, Terracciano A. Parental educational attainment and adult offspring personality: An intergenerational lifespan approach to the origin of adult personality traits. J Per Soc Psychol. 2017;113:144–66. 10.1037/pspp0000137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Grusnick JM, Garacci E, Eiler C, Williams JS, Egede LE. The association between adverse childhood experiences and personality, emotions and affect: Does number and type of experiences matter? J Res Pers. 2020;85. 10.1016/j.jrp.2019.103908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].López-González MA, Topa G. Exposome determinants of quality of life in adults over 50: Personality traits, childhood conditions, and long-term unemployment in SHARELIFE retrospective panel. Psychol Res Behav Manag. 2024;17:4207–20. 10.2147/PRBM.S472044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Whalley LJ. A life-course approach to the aetiology of late-onset dementia. Lancet Neurology. 2006;5:87–96. 10.1016/S1474-4422(05)70286-6. [DOI] [PubMed] [Google Scholar]
- [12].Chapko D, McCormack R, Black C, Staff R, Murray A. Life-course determinants of cognitive reserve (CR) in cognitive aging and dementia - a systematic literature review. Aging Ment Health. 2018;22(8):915–26. 10.1080/13607863.2017.1348471. [DOI] [PubMed] [Google Scholar]
- [13].Luo Y, Waite LJ. The impact of childhood and adult SES on physical, mental, and cognitive well-being in later life. J Gerontol B Psychol Sci Soc Sci. 2005;60(2):S93–S101. 10.1093/geronb/60.2.S93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14]*. Cheng M, Van Herreweghe L, Gireesh A, Sieber S, Ferraro KF, Cullati S. Life course socioeconomic position and cognitive aging in later life: A scoping review. Adv Life Course Res. 2025;64:100670. 10.1016/j.alcr.2025.100670. This paper reports a systematic review of the relation between socioeconomic factors at different stages of the lifecourse and cognitive aging outcomes in older adulthood. Higher SES at any point in the lifecourse was associated with better cognitive function in older adulthood. There was consistent evidence that SES in adulthood was one pathway between early life SES and late life cognitive function.
- [15].Xu W, Tan L, Wang HF, Tan MS, Li JQ, Zhao QF, et al. Education and risk of dementia: dose-response meta-analysis of prospective cohort studies. Mol Neurobiol. 2016;53:3113–23. 10.1007/s12035-015-9211-5. [DOI] [PubMed] [Google Scholar]
- [16].Rogers MA, Plassman BL, Kabeto M, Fisher GG, McArdle JJ, Llewellyn DJ, et al. Parental education and late-life dementia in the United States. J Geriatr Psychiatry Neurol. 2009;22:71–80. 10.1177/0891988708328220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [17].Le T, Maharani A, Hayter M, Gilleen J, Lee A. Cognitive impairment and dementia-Are they linked to childhood health and socioeconomic status? A systematic review. PLoS One. 2025;20(3):e0311074. 10.1371/journal.pone.0311074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Korhonen K, Leinonen T, Tarkiainen L, Einiö E, Martikainen P. Childhood socio-economic circumstances and dementia: prospective register-based cohort study of adulthood socio-economic and cardiovascular health mediators. Int J Epidemiol. 2023;52:523–35. 10.1093/ije/dyac205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Dannefer D. Systemic and reflexive: foundations of cumulative dis/advantage and life-course processes. J Gerontol B Psychol Sci Soc Sci. 2020;75:1249–63. 10.1093/geronb/gby118. [DOI] [PubMed] [Google Scholar]
- [20].Cha H, Farina MP, Hayward MD. Socioeconomic status across the life course and dementia-status life expectancy among older Americans. SSM Popul Health. 2021;15:100921. 10.1016/j.ssmph.2021.100921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Hu W, Zhang WB, Liu BP, Jia CX. Associations and mediating pathways between childhood adversity and risk of dementia: A cohort study in the UK Biobank. J Gerontol A Biol Sci Med Sci. 2024;79: glae121. 10.1093/gerona/glae121. [DOI] [PubMed] [Google Scholar]
- [22].Zhang N, Yao Y, Li L, Sun M, Zhou B, Fu H, et al. Deprivation-related adverse childhood experiences and cognitive function among older adults: Mediating role of depression symptoms. Child Abuse Negl. 2024;158:107088. 10.1016/j.chiabu.2024.107088. [DOI] [PubMed] [Google Scholar]
- [23].Nilaweera D, Freak-Poli R, Gurvich C, Ritchie K, Chaudieu I, Ancelin ML, et al. The association between adverse childhood events and later-life cognitive function and dementia risk. J Affect Disord. 2022;304:128–32. 10.1016/j.jad.2022.02.062. [DOI] [PubMed] [Google Scholar]
- [24].Smit D, Koerts J, Bangma DF, Fuermaier ABM, Tucha L, Tucha O. Look who is complaining: Psychological factors predicting subjective cognitive complaints in a large community sample of older adults. Appl Neuropsychol Adult. 2024;31:203–17. 10.1080/23279095.2021.2007387. [DOI] [PubMed] [Google Scholar]
- [25].Stanek KC, Ones DS. Meta-analytic relations between personality and cognitive ability. Proc Natl Acad Sci U S A. 2023;120:e2212794120. 10.1073/pnas.2212794120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Sutin AR, Gamaldo AA, Terracciano A, Evans MK, Zonderman AB. Personality and cognitive errors in the Healthy Aging in Neighborhoods of Diversity across the Life Span study. J Res Pers. 2024;109. 10.1016/j.jrp.2023.104449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Hopper S, Hammond NG, Taler V, Stinchcombe A. Biopsychosocial correlates of subjective cognitive decline and related worry in the Canadian Longitudinal Study on Aging. Gerontology. 2023;69:84–97. 10.1159/000524280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Beck ED, Yoneda T, James BD, Bennett DA, Hassenstab J, Katz MJ, et al. Personality predictors of dementia diagnosis and neuropathological burden: An individual participant data meta-analysis. Alzheimers Dement. 2024;20:1497–514. 10.1002/alz.13523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Stephan Y, Sutin AR, Luchetti M, Aschwanden D, Terracciano A. Personality and transition from mild cognitive impairment to normal cognition vs dementia. J Am Med Dir Assoc. 2024;25:105175. 10.1016/j.jamda.2024.105175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Terracciano A, Luchetti M, Karakose S, Stephan Y, Sutin AR. Personality traits and measures of neuropsychiatric symptoms. Aging Ment Health. 2025;29:130–7. 10.1080/13607863.2024.2374935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31]*. Grogan CS, Turiano NA, Habenicht A, McGeehan M, O'Súilleabháin PS. Personality traits and mediating pathways to mortality risk: A systematic review. Health Psychol. 2024;43(3):214–24. 10.1037/hea0001335. Behavioral (e.g., smoking) and physiological (e.g., inflammation) factors are hypothesized to be mechanisms in the pathway between traits and significant health outcomes. This paper summarizes the current empirical literature on mechanisms between personality traits and mortality and provides a critical discussion of the consistent and inconsistent mediators across studies.
- [32].Turiano NA, Silva Belanger NM, Damitz RL, Hill PL, Mroczek DK. Health processes in personality. In: Rauthmann JF, editor. The Handbook of Personality Dynamics and Processes: Academic Press; 2021. 1251–71. [Google Scholar]
- [33].Allen MS, Walter EE, McDermott MS. Personality and sedentary behavior: A systematic review and meta-analysis. Health Psychol. 2017;36:255–63. 10.1037/hea0000429. [DOI] [PubMed] [Google Scholar]
- [34].Hakulinen C, Hintsanen M, Munafò MR, Virtanen M, Kivimäki M, Batty GD, et al. Personality and smoking: individual-participant meta-analysis of nine cohort studies. Addiction. 2015;110:1844–52. 10.1111/add.13079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Stephan BCM, Cochrane L, Kafadar AH, Brain J, Burton E, Myers B, et al. Population attributable fractions of modifiable risk factors for dementia: a systematic review and meta-analysis. Lancet Healthy Longev. 2024;5:e406–e21. 10.1016/S2666-7568(24)00061-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Vainik U, Dagher A, Realo A, Colodro-Conde L, Mortensen EL, Jang K, et al. Personality-obesity associations are driven by narrow traits: A meta-analysis. Obes Rev. 2019;20:1121–31. 10.1111/obr.12856. [DOI] [PubMed] [Google Scholar]
- [37].Kotov R, Gamez W, Schmidt F, Watson D. Linking "Big" personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological Bulletin. 2010;136:768–821. 10.1037/a0020327. [DOI] [PubMed] [Google Scholar]
- [38].Stephan Y, Sutin AR, Caille P, Terracciano A. Personality and hearing acuity: Evidence from the Health and Retirement Study and the English Longitudinal Study of Ageing. Psychosom Med. 2019;81:808–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [39].Buecker S, Maes M, Denissen JJA, Luhmann M. Loneliness and the big five personality traits: A meta-analysis. European J Pers. 2020;34:8–28. 10.1002/per.2229. [DOI] [Google Scholar]
- [40].Harrington KD, Vasan S, Kang JE, Sliwinski MJ, Lim MH. Loneliness and cognitive function in older adults without dementia: A systematic review and meta-analysis. J Alzheimers Dis. 2023;91:1243–59. 10.3233/JAD-220832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [41].Luchetti M, Aschwanden D, Sesker AA, Zhu X, O'Súilleabháin PS, Stephan Y, et al. A meta-analysis of loneliness and risk of dementia using longitudinal data from >600,000 individuals. Nat Ment Health. 2024;2:1350–61. 10.1038/s44220-024-00328-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].McCrae RR, Costa PT. Personality in adulthood: A Five-Factor Theory perspective. 2nd ed. New York: Guilford Press; 2003. [Google Scholar]
- [43].Vukasović T, Bratko D. Heritability of personality: A meta-analysis of behavior genetic studies. Psychol Bull. 2015;141:769–85. 10.1037/bul0000017 [DOI] [PubMed] [Google Scholar]
- [44].Gupta P, Galimberti M, Liu Y, Beck S, Wingo A, Wingo T, et al. A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology. Nat Hum Behav. 2024;8:2235–49. 10.1038/s41562-024-01951-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [45].Strickhouser JE, Sutin AR. Family and neighborhood socioeconomic status and temperament development from childhood to adolescence. J Pers. 2020;88: 515–529. 10.1111/jopy.12507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [46].Hughes K, Mark A Bellis MA, Hardcastle KA, Sethi D, Butchart A, Mikton C, et al. The effect of multiple adverse childhood experiences on health: A systematic review and meta-analysis. The Lancet Public Health. 2017;2:e356–e66. 10.1016/S2468-2667(17)30118-4. [DOI] [PubMed] [Google Scholar]
- [47]*. Crede M, Kim HS, Cindrich SL, Ferreira PA, Wasinger G, Kim E-L, et al. The relationship between adverse childhood experiences and non-clinical personality traits: A meta-analytic synthesis. Personality and Individual Differences. 2023;200:111868. 10.1016/j.paid.2022.111868. This paper reports a systematic review of the literature on adverse childhood experiences and personality traits, including five factor model personality traits, in adulthood. The strongest and most consistent association emerged for neuroticism: Adverse childhood experiences were associated with higher neuroticism. There was a similar, albeit weaker, association with conscientiousness: Adverse childhood experiences were associated with lower conscientiousness.
- [48].Sutin AR, Stephan Y, Terracciano A. Breastfeeding and adult personality. Euro J Pers. 2016;30:484–91. 10.1002/per.2030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [49].Sesker AA, O'Súilleabháin PS, Lee JH, Aschwanden D, Luchetti M, Stephan Y, et al. Pathways from early life SES to dementia risk in old age: The role of personality. J Gerontol B Psychol Sci Soc Sci. 2022;77: 850–859. 10.1093/geronb/gbab159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Conde-Sala JL, Garre-Olmo J. Early parental death and psychosocial risk factors for dementia: A case-control study in Europe. Int J Geriatr Psychiatry. 2020;35:1051–9. 10.1002/gps.5328. [DOI] [PubMed] [Google Scholar]
- [51]*. Pflanz CP, Künzi M, Gallacher J, Bauermeister S. Distress and neuroticism as mediators of the effect of childhood and adulthood adversity on cognitive performance in the UK Biobank study. Sci Rep. 2024;14:8108. 10.1038/s41598-024-58510-z. This paper tested a process model in which neuroticism was hypothesized to be a mediator between childhood adversity and cognitive function in adulthood. Participants who experienced childhood adversity had worse executive function, and this association was mediated, in part, by higher neuroticism. There was no association between childhood adversity and adult processing speed.
