Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Jan 1.
Published in final edited form as: Psychosom Med. 2023 Nov 16;86(2):83–88. doi: 10.1097/PSY.0000000000001266

Self-acceptance and Purpose in life are Mechanisms Linking Adverse Childhood Experiences to Mortality Risk

Páraic S O’Súilleabháin 1,*, Sinéad D’Arcy-Bewick 1, Milou Fredrix 2, Máire McGeehan 1, Emma Kirwan 1, Meredith Willard 3, Amanda A Sesker 4, Angelina R Sutin 5, Nicholas A Turiano 3
PMCID: PMC10922606  NIHMSID: NIHMS1943536  PMID: 37982544

Abstract

Objective:

Adverse childhood experiences (ACEs) are associated with increased risk of premature mortality, but it is not clear why. Individuals with ACEs tend to have lower self-acceptance and purpose in life, which may be pathways between ACEs and risk of premature mortality. As such, we tested whether purpose and self-acceptance are mechanisms that link ACEs to mortality risk.

Methods:

We used the Midlife in the United States Survey (N = 6218; M ± SD = 46.89 ± 12.94 years) to test whether these factors were indirect pathways (mediated) the association between ACEs and mortality hazards over 24 years of follow-up. We employed a comprehensive ACEs measure that included 20 possible childhood adversities including emotional and physical abuse, household instability, socioeconomic climate, and ill health.

Results:

ACEs significantly increased mortality risk, HR=1.028, 95% CI (1.008, 1.047), p = 0.006. Self-acceptance and purpose accounted for an estimated 15% and 4% of the ACEs-mortality relation respectively. These effects withstood a range of adjustments and sensitivity analyses.

Conclusions:

ACEs may impact mortality risk partially through lower self-acceptance and purpose during adulthood. Given that self-acceptance and purpose may change through intervention, these factors may be useful targets for individuals with ACEs that could lead to a longer life.

Keywords: adverse childhood experiences, mortality, self-acceptance, purpose, adversity, socioeconomic status

Introduction

Adverse childhood experiences (ACEs) have wide-ranging consequences across the lifespan (1), including mortality risk (for review, see (2)) that is accumulative (risk not plateauing) in nature (3). Given the complex nature of such experiences and their health-relevant consequences, it is likely that mechanisms permeate a variety of interconnected and complex systems. Two potential mechanisms may be self-acceptance, defined as positive attitudes towards oneself, in addition to acknowledging and accepting multiple aspects of self (4), and purpose in life (purpose), defined as a perceived sense of a goal-directed direction in life (4, 5).

In early childhood, a child’s sense of self is thought to predominantly depend on how they are treated by their caretakers (6, 7). Therefore, those who are raised by caregivers who lack empathy, provide care on a conditional basis, and so on, may experience challenges with self-acceptance. This notion is supported by literature reporting negative associations between ACEs (particularly childhood abuse) and self-acceptance in adulthood (8, 9). Self-acceptance has also been associated with some of the long-term poor health correlates of childhood physical and emotional abuse in adulthood (9, 10). Self-acceptance in adulthood had further been associated with lower risk of premature mortality (11). As such, self-acceptance may be a mechanism in the relation between ACEs and lifelong health processes: The experiences of ACES may be associated with lower self-acceptance, which subsequently increases risk of premature mortality.

Similar to self-acceptance, purpose is associated with a wide array of health outcomes (12, 13), including mortality risk (14, 15). Purpose has been reported as of considerable importance within the context of developing resilience, and particularly relevant in coping processes (16). For instance, purpose may enable life events to be meaningfully contextualized and negative aspects of past experiences diminished or viewed as valuable aspects of one’s life journey (17). Similar to self-acceptance, ACEs have been associated with lower purpose in adulthood (18), which may be one mechanism through which ACEs increase risk of premature mortality.

ACEs are associated with mortality risk, but underlying mechanisms are likely multifaceted. Childhood adversity tends to be associated with less self-acceptance and purpose (1820), although there are some exceptions (21). Similar to research examining mediators in the personality-mortality risk relation (22, 23), partial (not full) mediation would be expected if it exists. In other words, given the complex processes involved in determining why ACEs are associated with mortality risk, it is likely that any specific pathway would not account for all the association. Partial mediation is not trivial. For instance, one circulating immunity biomarker has been found to account for an estimated 30% of the reason why conscientiousness is related to mortality risk (22). In the context of mechanisms that are potentially modifiable (i.e., interventions to increase self-acceptance and/or purpose), there is the potential to be able to disrupt the pathway to improve longevity outcomes.

To that end, this study examined self-acceptance and purpose as possible mediating pathways that link ACEs to mortality risk across adulthood. In doing so, we employed a comprehensive measure of ACEs, an approach for mediation of survival effects (24, 25) and a large and well characterized sample which was followed over 24 years.

Methods

Open Science

Data for this study are publicly accessible (26). The analytical code and associated documents are publicly accessible (27). This study was not preregistered.

Participants

Data were from the Midlife in the United States (MIDUS) study that started in 1995 with 7108 noninstitutionalized adults (26). Of the 7108 from the primary sample, 6128 adults had data available for the basic model in this study in 1995 (M ± SD = 46.89 ± 12.94 years, range: 20 – 75; females, M ± SD = 47.02 ± 13.04 years, range: 20 – 75; males, M ± SD = 46.75 ± 12.82 years, range: 24 – 75). In accordance with the Declaration of Helsinki, all protocols reported within this study were granted full ethical approval as part of the MIDUS Project.

Those who were alive at the time of final update in 2018 (n = 4974) were younger (t = -47.10, p < 0.001, 95% CI of difference [−16.87, −15.52]), more likely to be female (χ2 = 14.71, p < 0.001), had higher levels of education (t = 9.95, p < 0.001, 95% CI of difference [0.63, 0.93]), more likely to be married (χ2 = 231.21, p < 0.001), had fewer chronic conditions (t = -12.53, p < 0.001, 95% CI of difference [−1.26, −0.92]), had higher purpose (t = 11.36, p < 0.001, 95% CI of difference [1.16, 1.65]), and had higher self-acceptance (t = -1.32, p < 0.001, 95% CI of difference [0.20, 0.64]) than those who were deceased. No significant differences were observed on final update for race (χ2 = 2.76, p = 0.11), ACEs (t = -1.06, p = 0.29, 95% CI of difference [−0.29, 0.09]), or depressive affect (t = 0.91, p = 0.18, 95% CI of difference [−0.63, 0.17]). See Table 1.

Table 1.

Descriptive statistics of the present baseline sample.

Deceased (n = 1244) Alive (n = 4974) Complete Sample (n = 6218)

Mean (SD)/% Mean (SD)/% Mean (SD)/%


ACEs 3.64 (3.09) 3.53 (2.99) 3.55 (3.01)
Purpose-in-Life 15.41 (3.99) 16.81 (3.44) 16.53 (3.60)
Self-Acceptance 16.28 (3.51) 16.69 (3.48) 16.61 (3.49)
Age at baseline 59.82 (10.71) 43.66 (11.33) 46.89 (12.94)
Sex (Female) 47.7% 53.8% 52.6%
Race (White) 91.6% 90.1% 90.4%
Marital Status
Married 62.6% 69% 67.7%
Separated 1.5% 2.6% 2.4%
Divorced 14.9% 12.6% 13.1%
Widowed 13% 3% 5%
Never Married 8% 12.7% 11.8%
Education 6.24 (2.53) 7.01 (2.44) 6.86 (2.48)
Chronic Conditions 3.26 (2.83) 2.18 (2.28) 2.39 (2.44)
Depressed Affect 0.70(1.85) 0.75(1.88) 0.74 (1.88)

Adverse Childhood Experiences

All measures of ACEs were assessed at MIDUS 1. A comprehensive 20-item measure of ACEs was compiled which measured five broad categories: emotional abuse, physical abuse, adverse family structure, disadvantaged SES, and poor health. Consistent with the definition of childhood by the UN Convention on the Rights of the Child (28), items were included if they occurred up to the age of 18 years. Indicators of poor health were reported from the specific age of 16 years. As discussed in detail elsewhere (3), items were identified based on empirical and theoretical relevance. Emotional and physical abuse were measured by the Conflict Tactics Scale (29). Adverse family structure, disadvantaged SES, and poor health at age 16 were assessed through self-report measures. Each item was dummy coded to indicate exposure (coded 1) or no exposure (coded 0). The 20 items were summed into an overall ACE score that ranged from 0 to 20. See Table S1, Supplemental Digital Content, for an outline of each dimension, type of adversity, and item definitions (3).

Self-Acceptance and Purpose

Self-acceptance and purpose were assessed at MIDUS 1 with items from the Ryff Scales of Psychological Wellbeing (4) rated on a Likert scale from 1 (strongly disagree) to 7 (strongly agree). Three items measured self-acceptance (“I like most parts of my personality”; “When I look at the story of my life, I am pleased with how things have turned out so far”; and “In many ways I feel disappointed about my achievements in life”) and three items measured purpose in life (“Some people wander aimlessly through life, but I am not one of them”; “I live life one day at a time and don’t really think about the future”; and “I sometimes feel as if I’ve done all there is to do in life”). Where appropriate, scores were reversed so that higher scores reflected higher levels of both factors. Examination of reliability assumptions indicated it was not appropriate to report Cronbach’s α. This was due to violations of tau-equivalence, in that indicators were not approximately equally important. Reporting α when this assumption is not met greatly underestimates reliability (30, 31). A more robust measure of internal consistency appropriate to the data (including cohort studies more generally) due to fewer assumptions of the data, is the McDonalds ω (Omega) coefficient (3234). The internal consistency was adequate for both measures in MIDUS (ω = 0.62 for self-acceptance, ω = 0.59 for purpose). For test-retest correlations and correlation matrices, see Tables S2 and S3, Supplemental Digital Content.

Confounding Variables

The following variables were included as confounding variables: sex (male, female); race (other, white); education (highest level of education rated on a scale from “no schooling or some grade school” to “professional degrees such as PhD or MD); marital status (e.g., married, separated, divorced, widowed, never married); and chronic conditions (total number of doctor-diagnosed medical conditions; e.g., hypertension, heart disease, diabetes, cancer, stroke). Depressive affect was examined in sensitivity analyses as a further confounding variable, assessed with 7 items (e.g., During two weeks in past 12 months, when you felt sad, blue, or depressed, did you… “think a lot about death”) scored from 0 to 7. Higher scores indicated higher depressive affect.

Mortality

Vital status was collated through several methods (National Death Index (NDI), longitudinal sample maintenance, and closeout interviews), with the most recent update in October 2018. Due to only the year and month of death being available for each deceased individual, the 15th of the month was assigned as their date of death. Time to death was defined as age at death, or at the final update for those reported alive (censored). We used age at death as it is a natural metric in observational studies, in addition to adjusting for age (35). In total, there were 1244 deaths across follow-up (M ± SD = 72.33 ± 12.09 age at death in years; range = 30.61 – 95.39); 4974 participants were reported alive on their most recent update. Follow-up duration was on average 21.21 years (SD = 5.10; range = 0.08 – 23.84 years). Mortality data was routinely collated across the follow-up period.

Analyses

Analyses were conducted using R (36) and Mplus Version 8 (37). Cox Proportional Hazards Modelling was used to estimate time-to-event for those deceased, including those censored. A structural equation model framework was used to estimate mediation in Cox proportional hazards to allow for direct and indirect effects on survival time (38). Confidence intervals (CI) are reporting 95% bias-corrected 1000 bootstrapped thresholds. The use of bias-correction and bootstrapping reduces the possibility of introducing skew that could bias estimates. Self-acceptance and purpose were tested simultaneously as mediators to evaluate both variables as an indirect pathway in the predictive effect of ACEs for mortality hazards. This approach is critical as it allows for assessment of both mediators together as their combined indirect effect may significantly explain the association between both factors and mortality. This approach also incorporates the correlation between the indirect effects (39).

Examination of chronic conditions revealed the presence of extreme outlier observations (n = 7). Chronic conditions were winsorized to 13, which was deemed to be the closest observation not deemed suspect. To check if winsorization impacted estimates, results for the main analyses were conducted with winsorizing at both 12 and 14. Results did not differ. Two models tested whether self-acceptance and purpose mediated the pathway between ACEs and mortality risk. Specifically, Model 1 examined both mediation pathways for ACEs on mortality, with each variable adjusted for sex, race, marital status, and education. In addition to Model 1 confounding variables, Model 2 further adjusted for chronic conditions. Results outlined in Table 2 provide individual mediating pathways, mediation pathways collectively, and the direct pathway from ACEs to mortality risk. Two sensitivity analyses tested the robustness of the mediation. First, participants who died within two years of the baseline assessment were excluded from the analysis. Second, depressive affect was included as an additional covariate.

Schoenfeld Residual Analysis suggested a potential violation of proportionality for ACEs. That is, the effect of ACEs on mortality did not remain constant over time. This violation was expected because the extensive follow-up period coupled with the expectation that those lower in ACEs would survive much later into the follow-up period, thereby reducing power. While the approach of SEM incorporating proportional hazards modelling is robust to violations of the proportionality assumption, checks were conducted to ensure reported estimates were not significantly impacted. Examination using a stratification (40) of the follow-up period of before and after 12 years (midpoint) was conducted. This check revealed an expected slight weakening of the effect over time with no change in significance. Thus, we are confident that the violation of proportionality was minor and does not impact the overall pattern of findings in the study.

Results

ACEs were significantly associated with increased mortality risk, an association that held with the additional adjustment for chronic health conditions, such that mortality risk increased by 2.8% with each 1 unit increase in ACEs. Self-acceptance and purpose partially mediated the association between ACEs and mortality risk, both individually and collectively (Table 2). Within Model 1, self-acceptance and purpose accounted for 17.95% and 5.88% of the relation between ACEs and mortality risk, respectively. When adjusting for chronic health conditions in Model 2, self-acceptance and purpose remained significant and accounted for an estimated 14.81% and 4.17% of the ACEs and mortality relation (see Table 2).

Table 2.

Mediation models for ACEs predicting mortality.

ACEs

Purpose in Life Self-Acceptance

Estimate/HR, [95% CI], p Estimate/HR, [95% CI], p

Model 1*
 Indirect effect1, ^ 0.002, [0.001, 0.004], 0.004 0.007, [0.003, 0.011], < 0.001
 Total effect2, ^ 0.034, [0.012, 0.054], 0.001 0.039, [0.016, 0.058], < 0.001
 Full indirect effect3, ^ 0.010, [0.006, 0.014], < 0.001
 Direct effect4, ¬ 1.040, [1.021, 1.060], < 0.001
 AIC 105604.46
 BIC 105786.24
Model 2*
 Indirect effect1, ^ 0.001, [0.000, 0.003], 0.029 0.004, [0.001, 0.007], 0.013
 Total effect2, ^ 0.024, [0.004, 0.044], 0.018 0.027, [0.006, 0.047], 0.008
 Full indirect effect3, ^ 0.005, [0.002, 0.009], 0.001
 Direct effect4, ¬ 1.028, [1.008, 1.047], 0.006
 AIC 104683.10
 BIC 104891.74

Note: HR = Hazard Ratio, AIC = Akaike Information Criterion, BIC = Bayesian Information Criterion.

Model 1 adjusts for sex, race, marital status, and education.

Model 2 in addition to the previous adjustment, adjusts for chronic conditions.

1

Effect of ACEs on mortality through the indirect path

2

Effect of the indirect path and direct path of ACEs on mortality

3

Sum of the indirect paths

4

Direct effect of ACEs on mortality not adjusting for purpose or self-acceptance

*

Model 1 (n = 6202), Model 2 (n = 6188)

^

indicates that the estimate is presented

¬

indicates that the HR is presented

Several sensitivity analyses were conducted. Estimates were unchanged when those who died within 2 years of baseline were excluded or when depressive affect was included as an additional covariate. Given the low zero-order correlation coefficients among purpose items, we reran the fully adjusted mediation model replacing the purpose composite with each of the 3 items. Mediation coefficient estimates were virtually identical using either the composite or each individual item (see Table S4, Supplemental Digital Content).

Discussion

Consistent with our hypotheses, both self-acceptance and purpose link ACEs and mortality risk during adulthood. Examination of each factor revealed that both dimensions provided an indirect (mediating) pathway such that higher ACEs was associated with lower levels of self-acceptance and purpose, which partially contributed to the elevated mortality risk. These observed significant effects remained robust following additional adjustment and in sensitivity analyses. Given the multitude of contributors to the relation between ACEs and mortality risk, partial mediation was expected. While we found purpose to be an important contributing factor in the ACEs-mortality relation, self-acceptance appeared to be of particular importance.

Self-acceptance may be critically important within the context of ACEs, particularly as they relate to mortality risk across adulthood. This relation is also conceptually feasible when one considers lifespan developmental processes (41), such as those relevant to biobehavioral health at critical periods and accumulatively across the lifespan (42). In other words, self-acceptance is likely not just an important predictor of health during periods of critical development such as childhood, but also accumulatively throughout life. This is why ACEs likely erodes an individual accepting multiple aspects of self (self-acceptance), which then shortens longevity. The biobehavioural pathways linking self-acceptance are likely to permeate a vast array of processes. For instance, self-acceptance within this context likely impacts brain processes responsible for stress and emotional control (43), psychological health (44), and so on.

Purpose was also an indirect pathway linking ACEs to mortality risk. These findings are important within the context of research that reports that ACEs diminish purpose in adulthood (18). As such, ACEs likely erode purpose, which in turn reduces longevity. Thus, targeted purpose interventions may be particularly promising for those who have survived ACEs. This may particularly be the case if they address the aspect of purpose which relates to the contextualization of negative experiences to being valued experiences or an intrinsic aspect of one’s life. The biobehavioural mechanisms underpinning purpose in this relation are likely multifaceted. Purpose has been linked to a wide range of health-related processes from psychophysiological responsivity to broad disease processes, including emotional recovery from negative stimuli (45), health behaviors (46), cardiovascular events (14), and incident dementia (13).

This study had several limitations. The sample was predominantly white and relatively high in education. Thus, it is unclear how findings would generalize to more vulnerable populations such as those from racial minorities or from lower socioeconomic strata. This can leave a study susceptible to survival bias (healthy survival effects), in that those with the highest risk of ACEs would likely be significantly underrepresented (3), in addition to missing those already deceased before study outset. Recalling past adversities could sometimes be considered a potential limitation, however recall appears consistent across time with evidence suggesting an under- as opposed to over-reporting of childhood adversities (47). While the present study used a very comprehensive measure of adversity, we did not examine certain adversities known to be important (e.g., sexual abuse). It was beyond the remit of this study, but future research would benefit from examining possible associations with lifetime adversity (48). While our scoring approach to ACEs is an important indicator of accumulative events and consistent with existing research (1), important information is missing. Despite the data not being collated in this archival dataset, as highlighted by D’Arcy-Bewick and colleagues (2, 3), it would be important for future research to thoroughly examine the characteristics underlying specific ACEs. Consistent with existing research examining mortality related pathways (22, 23), we would expect a broad range of mechanisms beyond those we examined to underpin the ACE-mortality relation. It would also be beneficial for adequately powered replications to be conducted which would utilize larger scales which could provide more nuance. Given ACEs, self-acceptance, and purpose were assessed at the same timepoint, it would be important for future research to consider whether current levels may predict retrospective reporting of ACEs. While unlikely given the ACEs measure was focused on occurrences of an event rather than characteristics of an experience, it would be important for this to be considered in the interpretation of this study. Finally, it is also important for future research to consider that short scales can often lower α values if items are intended to provide coverage of a broad construct (49). The supplemental analyses in the current study found that the coefficients were nearly identical when each of the three items on the purpose scale were tested separately, which indicates that the three items are capturing aspects of purpose relevant to ACEs and mortality, even if only modestly related to each other. Future research, however, could utilise measures of purpose with more items and higher alpha reliability.

Despite these limitations, this study makes a significant contribution to the existing literature. The individual connections between each of the factors within this study have been previously suggested, however, this study meaningfully connects these factors in a rigorous and well powered study. Both self-acceptance and purpose do appear to be important indirect pathways linking ACEs to mortality risk across adulthood. These findings have important implications for future research and practice. Both individual and societal interventions aimed at promoting self-acceptance and purpose may be beneficial for individuals who have experienced ACEs. Further research is needed to understand the underlying biobehavioral mechanisms through which both self-acceptance and purpose impact health. While our study findings showed that most who experience ACEs will likely have less self-acceptance and purpose, it does not mean that every single person will. Variability would be expected with some of those with greater ACEs having high self-acceptance and purpose. Determining the reasons for these differences will be paramount for future research. Taken together, our study makes a significant contribution to the literature on the long-term impact of ACEs while highlighting the importance of considering psychological factors, namely self-acceptance, and purpose.

Supplementary Material

FINAL PRODUCTION FILE: SDC

Acknowledgements

Funding for MIDUS stemmed from John D. and Catherine T. MacArthur Foundation, Research Network on Successful Midlife Development. United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (5-PO1-AG20166–04; P01-AG020166). In addition, the Biomarker Project was supported by the National Institutes of Health National Center for Advancing Translational Sciences, Clinical and Translational Science Award program; UL1TR001409 (Georgetown), UL1TR001881 (UCLA), 1UL1RR025011 (UW).

Funding

Máire McGeehan and Emma Kirwan are both in receipt of an Irish Research Council Government of Ireland Postgraduate Scholarship (GOIPG/2023/3522; GOIPG/2021/345). Angelina Sutin was supported by the National Institute on Aging of the National Institutes of Health under Award Number R01AG074573. Nicholas Turiano was supported by the National Institute on Aging of the National Institutes of Health under Award Number 1R03AG081592–01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Irish Research Council or the National Institutes of Health.

Abbreviations:

ACEs

Adverse childhood experiences

Footnotes

Competing Interest Statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  • 1.Felitti VJ, Anda RF, Nordenberg D, Williamson DF, Spitz AM, Edwards V, Marks JS. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study. American journal of preventive medicine. 1998;14:245–58. [DOI] [PubMed] [Google Scholar]
  • 2.D’arcy-Bewick S, Terracciano A, Turiano N, Sutin AR, Long R, O’Súilleabháin PS. Childhood abuse and neglect, and mortality risk in adulthood: a systematic review and meta-analysis. Child Abuse & Neglect. 2022;134:105922. [DOI] [PubMed] [Google Scholar]
  • 3.D’Arcy-Bewick S, Turiano N, Sutin AR, Terracciano A, O’Súilleabháin PS. Adverse childhood experiences and all-cause mortality risk in adulthood. Child Abuse & Neglect. 2023;144:106386. [DOI] [PubMed] [Google Scholar]
  • 4.Ryff CD. Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of personality and social psychology. 1989;57:1069. [Google Scholar]
  • 5.McKnight PE, Kashdan TB. Purpose in life as a system that creates and sustains health and well-being: An integrative, testable theory. Review of general Psychology. 2009;13:242–51. [Google Scholar]
  • 6.Bernard ME. The strength of self-acceptance: Theory, practice and research: Springer; 2014. [Google Scholar]
  • 7.Reese E, Yan C, Jack F, Hayne H. Emerging identities: Narrative and self from early childhood to early adolescence. Narrative development in adolescence: Creating the storied self. 2010:23–43. [Google Scholar]
  • 8.Mosley-Johnson E, Garacci E, Wagner N, Mendez C, Williams JS, Egede LE. Assessing the relationship between adverse childhood experiences and life satisfaction, psychological well-being, and social well-being: United States Longitudinal Cohort 1995–2014. Quality of Life Research. 2019;28:907–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sanghvi DE, Zainal NH, Newman MG. Trait self-acceptance mediates parental childhood abuse predicting depression and anxiety symptoms in adulthood. Journal of Anxiety Disorders. 2023;94:102673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Savla JT, Roberto KA, Jaramillo-Sierra AL, Gambrel LE, Karimi H, Butner LM. Childhood abuse affects emotional closeness with family in mid-and later life. Child abuse & neglect. 2013;37:388–99. [DOI] [PubMed] [Google Scholar]
  • 11.Ng R, Allore HG, Levy BR. Self-acceptance and interdependence promote longevity: Evidence from a 20-year prospective cohort study. International journal of environmental research and public health. 2020;17:5980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Pfund GN, Hill PL, editors. The multifaceted benefits of purpose in life. The International Forum for Logotherapy; 2018. [Google Scholar]
  • 13.Sutin AR, Luchetti M, Aschwanden D, Stephan Y, Sesker AA, Terracciano A. Sense of meaning and purpose in life and risk of incident dementia: New data and meta-analysis. Archives of Gerontology and Geriatrics. 2023;105:104847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Cohen R, Bavishi C, Rozanski A. Purpose in life and its relationship to all-cause mortality and cardiovascular events: A meta-analysis. Psychosomatic medicine. 2016;78:122–33. [DOI] [PubMed] [Google Scholar]
  • 15.Hill PL, Turiano NA. Purpose in life as a predictor of mortality across adulthood. Psychological science. 2014;25:1482–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Pinquart M. Creating and maintaining purpose in life in old age: A meta-analysis. Ageing international. 2002;27:90–114. [Google Scholar]
  • 17.Hartanto A, Yong JC, Lee ST, Ng WQ, Tong EM. Putting adversity in perspective: purpose in life moderates the link between childhood emotional abuse and neglect and adulthood depressive symptoms. Journal of mental health. 2020;29:473–82. [DOI] [PubMed] [Google Scholar]
  • 18.Hill PL, Turiano NA, Burrow AL. Early life adversity as a predictor of sense of purpose during adulthood. International Journal of Behavioral Development. 2018;42:143–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Infurna FJ, Staben OE, Gardner MJ, Grimm KJ, Luthar SS. The accumulation of adversity in midlife: Effects on depressive symptoms, life satisfaction, and character strengths. Psychology and aging. 2023. [DOI] [PubMed] [Google Scholar]
  • 20.Quan L, Lü B, Sun J, Zhao X, Sang Q. The relationship between childhood trauma and post-traumatic growth among college students: The role of acceptance and positive reappraisal. Frontiers in psychology. 2022;13:921362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pfund GN, Edmonds GW, Hill PL. Associations between trauma during adolescence and sense of purpose in middle-to-late adulthood. International journal of behavioral development. 2020;44:441–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.O’Súilleabháin PS, Turiano NA, Gerstorf D, Luchetti M, Gallagher S, Sesker AA, Terracciano A, Sutin AR. Personality pathways to mortality: Interleukin-6 links conscientiousness to mortality risk. Brain, behavior, and immunity. 2021;93:238–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Turiano NA, Belanger NMS, Damitz RL, Hill PL, Mroczek DK. Health processes in personality. The handbook of personality dynamics and processes: Elsevier; 2021. p. 1251–71. [Google Scholar]
  • 24.Grogan CS, Turiano NA, Habennicht A, McGeehan M, O’Súilleabháin P. Personality traits and mediating pathways to mortality risk: A systematic review. 2023. [DOI] [PMC free article] [PubMed]
  • 25.Sesker AA, O’Súilleabháin PS, Lee JH, Aschwanden D, Luchetti M, Stephan Y, Terracciano A, Sutin AR. Pathways from early-life SES to dementia risk in old age: The role of personality. The Journals of Gerontology: Series B. 2022;77:850–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Brim OG, Baltes PB, Bumpass LL, Cleary PD, Featherman DL, Hazzard WR, Kessler RC, Lachman ME, Markus HR, Marmot MG. Midlife in the united states (midus 1), 1995–1996. 2020. [Google Scholar]
  • 27.O’Súilleabháin PS. Adverse Childhood Experiences and Mortality Risk. OSF; 2023; Available from: https://osf.io/ef2kq. [DOI] [PubMed] [Google Scholar]
  • 28.Unicef. Convention on the Rights of the Child. 1989.
  • 29.Straus MA. Conflict tactics scales. Handbook of measurements for marriage and family therapy: Routledge; 2013. p. 159–63. [Google Scholar]
  • 30.Graham JM. Congeneric and (essentially) tau-equivalent estimates of score reliability: What they are and how to use them. Educational and psychological measurement. 2006;66:930–44. [Google Scholar]
  • 31.Tavakol M, Dennick R. Making sense of Cronbach’s alpha. International journal of medical education. 2011;2:53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.McDonald RP. Test theory: A unified treatment: psychology press; 2013.
  • 33.Hayes AF, Coutts JJ. Use omega rather than Cronbach’s alpha for estimating reliability. But…. Communication Methods and Measures. 2020;14:1–24. [Google Scholar]
  • 34.McNeish D. Thanks coefficient alpha, we’ll take it from here. Psychological methods. 2018;23:412. [DOI] [PubMed] [Google Scholar]
  • 35.Pencina MJ, Larson MG, D’Agostino RB. Choice of time scale and its effect on significance of predictors in longitudinal studies. Statistics in medicine. 2007;26:1343–59. [DOI] [PubMed] [Google Scholar]
  • 36.R Core Team R. R: A language and environment for statistical computing. 2013.
  • 37.Muthén B, Muthén L. Mplus. Handbook of item response theory: Chapman and Hall/CRC; 2017. p. 507–18. [Google Scholar]
  • 38.Asparouhov T, Masyn K, Muthen B, editors. Continuous time survival in latent variable models. Proceedings of the joint statistical meeting in Seattle; 2006. [Google Scholar]
  • 39.Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods. 2008;40:879–91. [DOI] [PubMed] [Google Scholar]
  • 40.Allison PD. Survival analysis using SAS: a practical guide: Sas Institute; 2010. [Google Scholar]
  • 41.Baltes PB, Goulet LR. Status and issues of a life-span developmental psychology. Life-span developmental psychology. 1970:3–21. [Google Scholar]
  • 42.Hampson SE, Friedman HS. Personality and health: A lifespan perspective. 2008.
  • 43.Agroskin D, Klackl J, Jonas E. The self-liking brain: a VBM study on the structural substrate of self-esteem. PloS one. 2014;9:e86430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Chamberlain JM, Haaga DA. Unconditional self-acceptance and psychological health. Journal of Rational-Emotive and Cognitive-Behavior Therapy. 2001;19:163–76. [Google Scholar]
  • 45.Schaefer SM, Morozink Boylan J, Van Reekum CM, Lapate RC, Norris CJ, Ryff CD, Davidson RJ. Purpose in life predicts better emotional recovery from negative stimuli. PloS one. 2013;8:e80329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Kim ES, Shiba K, Boehm JK, Kubzansky LD. Sense of purpose in life and five health behaviors in older adults. Preventive Medicine. 2020;139:106172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Maughan B, Rutter M. Retrospective reporting of childhood adversity: Issues in assessing long-term recall. Journal of personality disorders. 1997;11:19–33. [DOI] [PubMed] [Google Scholar]
  • 48.Buckley L, Turiano NA, Sesker AA, Butler M, O’Súilleabháin P. Lifetime Trauma and Mortality Risk: A Systematic Review. 2023. [DOI] [PubMed]
  • 49.Rammstedt B, Beierlein C. Can’t we make it any shorter? Journal of Individual Differences. 2014. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

FINAL PRODUCTION FILE: SDC

RESOURCES