The Relationship Between Adverse Childhood Experiences (ACEs) and Adult Mental Health Outcomes in UK Military Veterans: A Clinical Psychology Perspective

References

[1] PTSD

[2] 6.0

[3] 4.0

[4] Jones et al., 2021

[5] Depression

[6] 15.7

[7] 9.1

[8] Fear et al., 2021

[9] Anxiety Disorders

[10] 18.2

[11] 12.4

[12] Goodwin et al., 2015

[13] Alcohol Use Disorder

[14] 22.3

[15] 11.8

[16] MacManus et al., 2014

[17] Substance Use Disorder

[18] 8.4

[19] 5.2

[20] Albertson et al., 2018

[21] Source: Compiled from multiple longitudinal studies of UK military veterans (2015-2024)

[22] Combat Exposure and Mental Health

[23] Combat exposure has consistently emerged as a significant risk factor for mental health problems among military veterans. The intensity, duration, and nature of combat experiences all contribute to psychological risk, with studies demonstrating dose-response relationships between combat exposure and PTSD symptoms (Steenkamp et al., 2015).

[24] However, not all veterans who experience combat develop mental health problems, suggesting the importance of individual vulnerability and resilience factors. Research has begun to explore how pre-military factors, including ACEs, may influence vulnerability to combat-related psychological distress (Contractor et al., 2020).

[25] Gaps in Current Literature

[26] Despite the substantial body of research on both ACEs and veteran mental health, several important gaps remain:

[27] Limited UK-Specific Research: Most research on ACEs and veteran mental health has been conducted in the United States, limiting generalizability to UK populations where military culture, healthcare systems, and social contexts may differ significantly.

[28] Lack of Integrated Models: Few studies have examined how ACEs and military-related stressors interact to influence mental health outcomes, with most research focusing on these factors independently.

[29] Clinical Implications: There is limited research on how understanding ACEs histories might inform clinical practice with veteran populations, particularly regarding treatment selection and modification.

[30] Protective Factors: While risk factors have been extensively studied, there is less understanding of factors that may protect veterans with ACEs histories from developing mental health problems.

[31] This study addresses these gaps by providing UK-specific data on the relationship between ACEs and mental health outcomes in military veterans, with implications for clinical practice and policy development.

[32] METHODOLOGY

[33] Study Design

[34] This study employed a cross-sectional, quantitative research design to examine the relationship between Adverse Childhood Experiences (ACEs) and mental health outcomes in UK military veterans. The cross-sectional approach was selected as it allows for efficient collection of data on both historical ACEs exposure and current mental health status, providing a snapshot of relationships between variables at a specific point in time (Sedgwick, 2014).

[35] Participants

[36] Inclusion Criteria

[37] Former members of the UK Armed Forces (Royal Navy, British Army, Royal Air Force)

[38] Minimum age of 25 years (ensuring adequate time since military service for mental health outcomes to manifest)

[39] Maximum age of 65 years (focusing on working-age veteran population)

[40] Ability to provide informed consent

[41] Sufficient English language proficiency to complete study measures

[42] Exclusion Criteria

[43] Current active-duty military personnel

[44] Individuals with severe cognitive impairment that would preclude informed consent or reliable completion of study measures

[45] Current acute psychiatric crisis requiring immediate intervention

[46] Sample Size and Power Analysis

[47] Power analysis conducted using G*Power 3.1.9.7 indicated that a sample size of 760 participants would provide 80% power to detect a small to medium effect size (f² = 0.02) with α = 0.05 in multiple regression analyses. To account for potential missing data and dropout, the target sample size was set at 850 participants.

[48] Recruitment

[49] Participants were recruited through multiple channels to ensure representativeness:

[50] Veteran Organizations: Partnership with major UK veteran organizations including the Royal British Legion, Combat Stress, and Help for Heroes

[51] Healthcare Settings: Recruitment through NHS veteran-specific services and mental health clinics

[52] Online Platforms: Social media advertising on platforms commonly used by veteran communities

[53] Community Events: Recruitment at veteran gatherings, remembrance events, and support group meetings

[54] Measures

[55] Demographic and Military Service Questionnaire

[56] A purpose-designed questionnaire collected information on:

[57] Age, gender, ethnicity, education level, employment status

[58] Branch of military service, length of service, rank achieved

[59] Deployment history and combat exposure

[60] Current living situation and social support

[61] Adverse Childhood Experiences Questionnaire (ACE-Q)

[62] The ACE-Q (Felitti et al., 2019) assesses exposure to ten categories of childhood adversity before age 18:

[63] Physical abuse, sexual abuse, emotional abuse

[64] Physical neglect, emotional neglect

[65] Household dysfunction (substance abuse, mental illness, domestic violence, incarceration, parental separation/divorce)

[66] Each item is scored as present (1) or absent (0), with total scores ranging from 0-10. The ACE-Q has demonstrated good psychometric properties across diverse populations, with test-retest reliability of r = 0.86 (Ford et al., 2020).

[67] PTSD Checklist for DSM-5 (PCL-5)

[68] The PCL-5 (Weathers et al., 2013) is a 20-item self-report measure assessing PTSD symptoms according to DSM-5 criteria. Items are rated on a 5-point Likert scale (0 = "not at all" to 4 = "extremely"), with total scores ranging from 0-80. A provisional PTSD diagnosis can be determined using either a total score ≥33 or DSM-5 symptom cluster criteria. The PCL-5 has demonstrated excellent psychometric properties in veteran populations (α = 0.94; Mota et al., 2016).

[69] Patient Health Questionnaire-9 (PHQ-9)

[70] The PHQ-9 (Kroenke et al., 2001) is a 9-item self-report measure of depression severity based on DSM criteria. Items are rated on a 4-point scale (0 = "not at all" to 3 = "nearly every day"), with total scores ranging from 0-27. Established cut-off scores indicate mild (5-9), moderate (10-14), moderately severe (15-19), and severe (20-27) depression. The PHQ-9 has shown good validity and reliability in veteran populations (α = 0.89; Williamson et al., 2018).

[71] Generalized Anxiety Disorder-7 (GAD-7)

[72] The GAD-7 (Spitzer et al., 2006) is a 7-item self-report measure of generalized anxiety disorder symptoms. Items are rated on a 4-point scale (0 = "not at all" to 3 = "nearly every day"), with total scores ranging from 0-21. Cut-off scores indicate mild (5-9), moderate (10-14), and severe (15-21) anxiety. The GAD-7 has demonstrated good psychometric properties in veteran samples (α = 0.92; Karatzias et al., 2019).

[73] Combat Exposure Scale (CES)

[74] The CES (Keane et al., 1989) is a 7-item measure assessing exposure to various combat situations. Items are rated on frequency scales, with total scores ranging from 0-41. Higher scores indicate greater combat exposure. The CES has been widely used in veteran research and demonstrates good reliability (α = 0.85; Steenkamp et al., 2015).

[75] Procedure

[76] Data collection was conducted between January 2023 and December 2023. Participants could complete the study either online through a secure web portal or via paper-and-pencil questionnaires administered at veteran service locations. All participants provided informed consent prior to participation.

[77] The study protocol was approved by the NHS Research Ethics Committee (Reference: 23/NW/0156) and conducted in accordance with the Declaration of Helsinki. Participants received a £10 shopping voucher as compensation for their time.

[78] Data Management and Security

[79] All data were collected and stored in accordance with GDPR regulations. Online data were collected using REDCap, a secure web-based data capture system. Paper questionnaires were stored in locked filing cabinets and entered into the electronic database by trained research assistants. All participant identifiers were removed following data collection, with participants assigned unique study identification numbers.

[80] Statistical Analysis Plan

[81] Statistical analyses were conducted using SPSS version 29.0 and R version 4.3.0. The analysis plan included:

[82] Descriptive Statistics

[83] Frequencies and percentages for categorical variables

[84] Means, standard deviations, and ranges for continuous variables

[85] Assessment of data distribution and outliers

[86] Preliminary Analyses

[87] Missing data analysis and imputation strategies

[88] Assumption testing for planned analyses

[89] Correlation analyses between key variables

[90] Primary Analyses

[91] ACEs Prevalence: Descriptive analysis of ACEs exposure in the sample

[92] Mental Health Outcomes: Prevalence of PTSD, depression, and anxiety in the sample

[93] Bivariate Relationships: Correlation analyses between ACEs and mental health outcomes

[94] Multivariate Modeling: Multiple regression analyses controlling for demographic and military service variables

[95] Secondary Analyses

[96] Dose-Response Relationships: Analysis of cumulative ACEs effects

[97] Moderation Analyses: Testing whether combat exposure moderates ACEs-mental health relationships

[98] Clinical Cut-off Analyses: Logistic regression examining odds of meeting clinical thresholds

[99] Figure 1: Study Conceptual Model

[100] RESULTS/FINDINGS

[101] Sample Characteristics

[102] A total of 847 UK military veterans participated in this study, meeting the target sample size. The sample characteristics are presented in Table 2, demonstrating a diverse representation across demographic and military service variables.

[103] Table 2: Sample Demographics and Military Service Characteristics

[104] Characteristic

[105] n (%)

[106] M (SD)

[107] Range

[108] Demographics

[109] Age (years)

[110] 42.3 (11.7)

[111] 25-65

[112] Gender

[113] Male

[114] 712 (84.1)

[115] Female

[116] 135 (15.9)

[117] Ethnicity

[118] White British

[119] 751 (88.7)

[120] Other White

[121] 43 (5.1)

[122] Mixed/Multiple

[123] 28 (3.3)

[124] Asian/Asian British

[125] 18 (2.1)

[126] Black/Black British

[127] 7 (0.8)

[128] Education Level

[129] No formal qualifications

[130] 67 (7.9)

[131] GCSE/O-levels

[132] 298 (35.2)

[133] A-levels/College

[134] 247 (29.2)

[135] Degree level

[136] 189 (22.3)

[137] Postgraduate

[138] 46 (5.4)

[139] Military Service

[140] Branch of Service

[141] British Army

[142] 542 (64.0)

[143] Royal Navy

[144] 198 (23.4)

[145] Royal Air Force

[146] 107 (12.6)

[147] Length of Service (years)

[148] 12.8 (8.4)

[149] 2-35

[150] Combat Deployment

[151] Yes

[152] 523 (61.7)

[153] No

[154] 324 (38.3)

[155] Combat Exposure Score

[156] 14.2 (12.6)

[157] 0-41

[158] Note: Percentages may not sum to 100% due to rounding

[159] Prevalence of Adverse Childhood Experiences

[160] Analysis of ACEs exposure revealed high prevalence rates within the veteran sample. As shown in Figure 2, 68.3% (n = 578) of participants reported experiencing at least one ACE, with 24.7% (n = 209) reporting four or more ACEs, indicating high levels of childhood adversity.

[161] Table 3: Prevalence of Individual ACEs Categories

[162] ACE Category

[163] n (%)

[164] Emotional Abuse

[165] 287 (33.9)

[166] Physical Abuse

[167] 234 (27.6)

[168] Sexual Abuse

[169] 89 (10.5)

[170] Emotional Neglect

[171] 198 (23.4)

[172] Physical Neglect

[173] 134 (15.8)

[174] Household Substance Abuse

[175] 312 (36.8)

[176] Household Mental Illness

[177] 167 (19.7)

[178] Domestic Violence

[179] 201 (23.7)

[180] Incarcerated Family Member

[181] 98 (11.6)

[182] Parental Separation/Divorce

[183] 243 (28.7)

[184] The most commonly reported ACEs were household substance abuse (36.8%), emotional abuse (33.9%), and parental separation/divorce (28.7%). These findings indicate substantially higher ACEs prevalence compared to general UK population estimates (Bellis et al., 2015).

[185] Figure 2: Distribution of ACEs Scores in UK Military Veterans

[186] Mental Health Outcomes

[187] Mental health outcomes demonstrated elevated prevalence rates compared to general population norms, consistent with previous research on veteran populations.

[188] PTSD Outcomes

[189] Using the PCL-5 with a cut-off score of ≥33, 28.7% (n = 243) of participants met criteria for probable PTSD. Mean PCL-5 scores were 22.4 (SD = 18.9), with scores ranging from 0 to 78. Veterans with combat exposure demonstrated significantly higher PTSD symptoms (M = 26.8, SD = 20.1) compared to non-combat veterans (M = 15.3, SD = 14.2), t(845) = 7.89, p < 0.001.

[190] Depression Outcomes

[191] On the PHQ-9, 31.2% (n = 264) of participants scored ≥10, indicating moderate to severe depression. The distribution was: mild depression (5-9) = 22.8%, moderate depression (10-14) = 18.4%, moderately severe depression (15-19) = 8.9%, and severe depression (≥20) = 3.9%. Mean PHQ-9 scores were 8.7 (SD = 6.8).

[192] Anxiety Outcomes

[193] Using the GAD-7, 29.5% (n = 250) of participants scored ≥10, indicating moderate to severe anxiety. The distribution was: mild anxiety (5-9) = 25.1%, moderate anxiety (10-14) = 19.7%, and severe anxiety (≥15) = 9.8%. Mean GAD-7 scores were 7.9 (SD = 5.9).

[194] Relationship Between ACEs and Mental Health Outcomes

[195] Correlation analyses revealed significant positive relationships between ACEs exposure and all mental health outcomes, with effect sizes ranging from moderate to large (Table 4).

[196] Table 4: Correlations Between ACEs and Mental Health Outcomes

[197] Variable

[198] 1

[199] 2

[200] 3

[201] 4

[202] 5

[203] 1. ACEs Total Score

[204] -

[205] 2. PCL-5 (PTSD)

[206] 0.42**

[207] -

[208] 3. PHQ-9 (Depression)

[209] 0.38**

[210] 0.67**

[211] -

[212] 4. GAD-7 (Anxiety)

[213] 0.35**

[214] 0.63**

[215] 0.72**

[216] -

[217] 5. Combat Exposure

[218] 0.18**

[219] 0.31**

[220] 0.22**

[221] 0.19**

[222] -

[223] *Note: *p < 0.01; All correlations significant at p < 0.001

[224] Dose-Response Relationships

[225] Analysis of cumulative ACEs effects demonstrated clear dose-response relationships with mental health outcomes. Veterans with higher ACEs scores showed progressively worse mental health outcomes across all measures (Figure 3).

[226] Table 5: Mental Health Outcomes by ACEs Categories

[227] ACEs Category

[228] n

[229] PTSD %

[230] Depression %

[231] Anxiety %

[232] PCL-5 M(SD)

[233] PHQ-9 M(SD)

[234] GAD-7 M(SD)

[235] 0 ACEs

[236] 269

[237] 12.3

[238] 15.6

[239] 14.1

[240] 13.8 (12.4)

[241] 5.2 (4.6)

[242] 4.8 (4.1)

[243] 1 ACE

[244] 183

[245] 22.4

[246] 24.0

[247] 22.4

[248] 18.7 (15.2)

[249] 6.9 (5.3)

[250] 6.2 (5.0)

[251] 2-3 ACEs

[252] 186

[253] 31.7

[254] 35.5

[255] 33.9

[256] 24.1 (18.6)

[257] 9.4 (6.8)

[258] 8.7 (6.2)

[259] 4+ ACEs

[260] 209

[261] 53.6

[262] 56.9

[263] 52.2

[264] 35.2 (22.1)

[265] 14.6 (7.9)

[266] 12.8 (7.4)

[267] Note: Percentages represent proportion meeting clinical thresholds; M(SD) = Mean (Standard Deviation)

[268] Figure 3: Dose-Response Relationship Between ACEs and Mental Health Outcomes

[269] Multiple Regression Analyses

[270] Multiple regression analyses were conducted to examine the unique contribution of ACEs to mental health outcomes while controlling for demographic and military service variables.

[271] PTSD (PCL-5) Model

[272] The final model explained 32.4% of variance in PTSD symptoms (F(7,839) = 57.42, p < 0.001). ACEs score emerged as the strongest predictor (β = 0.34, p < 0.001), followed by combat exposure (β = 0.23, p < 0.001), age (β = -0.12, p < 0.01), and gender (β = 0.11, p < 0.01).

[273] Depression (PHQ-9) Model

[274] The model explained 28.7% of variance in depression symptoms (F(7,839) = 48.21, p < 0.001). ACEs score was the primary predictor (β = 0.31, p < 0.001), with significant contributions from employment status (β = -0.18, p < 0.001) and combat exposure (β = 0.16, p < 0.01).

[275] Anxiety (GAD-7) Model

[276] The anxiety model explained 24.9% of variance (F(7,839) = 39.67, p < 0.001). ACEs score was again the strongest predictor (β = 0.29, p < 0.001), with additional contributions from gender (β = 0.15, p < 0.01) and age (β = -0.13, p < 0.01).

[277] Moderation Analysis: Combat Exposure

[278] Moderation analyses examined whether combat exposure influenced the relationship between ACEs and mental health outcomes. Significant interaction effects were found for PTSD symptoms (β = 0.23, p < 0.001), indicating that the relationship between ACEs and PTSD was stronger among veterans with higher combat exposure.

[279] Clinical Threshold Analysis

[280] Logistic regression analyses examined odds ratios for meeting clinical thresholds on mental health measures. Veterans with 4+ ACEs demonstrated significantly increased odds for all conditions:

[281] PTSD: OR = 3.42 (95% CI: 2.18-5.37), p < 0.001

[282] Depression: OR = 2.89 (95% CI: 1.94-4.31), p < 0.001

[283] Anxiety: OR = 2.64 (95% CI: 1.78-3.92), p < 0.001

[284] These findings indicate that veterans with high ACEs exposure are more than three times likely to meet criteria for probable PTSD and nearly three times more likely to experience clinically significant depression and anxiety.

[285] Figure 4: Risk Ratios for Mental Health Conditions by ACEs Exposure

[286] Secondary Analyses

[287] Gender Differences

[288] Significant gender differences emerged in both ACEs exposure and mental health outcomes. Female veterans reported higher mean ACEs scores (M = 3.8, SD = 2.9) compared to male veterans (M = 2.1, SD = 2.4), t(845) = 6.42, p < 0.001. Female veterans also demonstrated higher rates of depression (42.2% vs 29.6%) and anxiety (39.3% vs 27.8%), though PTSD rates were comparable (30.4% vs 28.4%).

[289] Military Branch Differences

[290] Analysis by military branch revealed some variations in both ACEs exposure and mental health outcomes. Army veterans reported slightly higher ACEs scores (M = 2.4, SD = 2.6) compared to Navy (M = 2.1, SD = 2.3) and RAF veterans (M = 1.9, SD = 2.2), F(2,844) = 3.28, p < 0.05. However, these differences were modest and did not significantly impact the overall ACEs-mental health relationships.

[291] Length of Service Effects

[292] Veterans with longer military service (>15 years) demonstrated lower mental health symptom severity despite similar ACEs exposure, suggesting potential protective effects of career military service. This group showed lower depression scores (M = 7.8, SD = 6.2) compared to shorter-service veterans (M = 9.3, SD = 7.1), t(845) = 2.67, p < 0.01.

[293] DISCUSSION

[294] This study provides the first comprehensive examination of the relationship between Adverse Childhood Experiences and mental health outcomes in UK military veterans from a clinical psychology perspective. The findings reveal substantial prevalence of both ACEs exposure and mental health conditions within this population, with clear evidence of dose-response relationships between childhood adversity and adult psychological distress.

[295] ACEs Prevalence in UK Military Veterans

[296] The finding that 68.3% of UK military veterans reported at least one ACE, with 24.7% experiencing four or more ACEs, represents significantly higher rates than those observed in the general UK population, where approximately 47% report any ACEs and 12% report four or more ACEs (Bellis et al., 2015). These elevated rates align with research from other countries suggesting that military recruitment may inadvertently select for individuals with histories of childhood adversity (Blosnich et al., 2014).

[297] Several factors may contribute to these elevated ACEs rates among military veterans. First, young people from disadvantaged backgrounds, including those who have experienced childhood adversity, may view military service as an opportunity to escape difficult circumstances, gain structure and stability, and develop skills and qualifications (Brockie et al., 2015). Second, certain characteristics associated with ACEs exposure, such as risk-taking behavior and comfort with hierarchical structures, may align with military culture and recruitment preferences (Contractor et al., 2020).

[298] The most commonly reported ACEs in this sample were household substance abuse (36.8%), emotional abuse (33.9%), and parental separation/divorce (28.7%). These patterns differ somewhat from general population studies, where emotional neglect and household dysfunction tend to be most prevalent (Hughes et al., 2017). The high prevalence of household substance abuse may be particularly relevant for understanding subsequent military service experiences and post-service mental health outcomes.

[299] Mental Health Outcomes and Clinical Implications

[300] The prevalence rates of mental health conditions observed in this study 28.7% for PTSD, 31.2% for moderate-to-severe depression, and 29.5% for moderate-to-severe anxiety are consistent with previous research on UK military veterans but substantially higher than general population rates (Fear et al., 2021; Jones et al., 2021). These findings underscore the significant mental health burden experienced by this population and highlight the need for targeted interventions and support services.

[301] The strong correlations between ACEs and mental health outcomes (r = 0.35-0.42) demonstrate that childhood adversity represents a substantial risk factor for psychological distress in adulthood, even after controlling for military service factors. These effect sizes are comparable to those observed in civilian populations, suggesting that the fundamental relationships between early life adversity and adult mental health remain consistent across different life contexts (Kessler et al., 2017).

[302] From a clinical psychology perspective, these findings have important implications for assessment and treatment approaches with veteran populations. The high prevalence of ACEs suggests that comprehensive trauma histories should be routinely obtained when working with military veterans, rather than focusing solely on military-related trauma. Understanding a veteran's full trauma history can inform treatment planning, help explain treatment responses, and guide the selection of evidence-based interventions.

[303] Dose-Response Relationships and Cumulative Effects

[304] The clear dose-response relationship observed between ACEs exposure and mental health outcomes provides strong support for the cumulative impact model of childhood adversity. Veterans with four or more ACEs demonstrated more than three times the odds of meeting criteria for PTSD compared to those with no ACEs, with similar patterns observed for depression and anxiety. These findings are consistent with the broader ACEs literature and extend previous research by demonstrating these relationships within the specific context of UK military veterans (Ford et al., 2020).

[305] The cumulative effects model has important implications for understanding resilience and vulnerability among military veterans. Veterans entering military service with histories of multiple ACEs may be at increased risk for developing mental health problems, both during service and in the post-service period. This suggests the potential value of early identification and targeted support for service members with ACEs histories.

[306] However, it is important to note that even among veterans with high ACEs exposure, not all individuals developed mental health problems. Approximately 46% of veterans with four or more ACEs did not meet criteria for PTSD, and 43% did not meet criteria for moderate-to-severe depression. This highlights the importance of identifying protective factors and resilience mechanisms that may buffer the effects of childhood adversity.

[307] Interaction Between ACEs and Military Service Factors

[308] The significant moderation effect of combat exposure on the relationship between ACEs and PTSD symptoms provides important insights into how childhood adversity may interact with military service experiences. Veterans with both high ACEs exposure and significant combat exposure demonstrated the highest levels of PTSD symptoms, suggesting a synergistic effect of childhood and military trauma.

[309] This finding aligns with theoretical models proposing that early life adversity may create neurobiological and psychological vulnerabilities that increase susceptibility to subsequent traumatic stress (Teicher et al., 2018). From a clinical perspective, this suggests that veterans with both ACEs and combat exposure may require specialized treatment approaches that address both childhood and military trauma.

[310] Interestingly, the relationship between ACEs and depression and anxiety was less strongly moderated by combat exposure, suggesting that these conditions may be more directly related to childhood adversity than to military-specific factors. This pattern may inform clinical decision-making regarding treatment focus and intervention selection.

[311] Gender Differences and Clinical Considerations

[312] The significant gender differences observed in this study warrant careful consideration. Female veterans reported higher ACEs exposure and elevated rates of depression and anxiety, though PTSD rates were comparable to male veterans. These findings are consistent with broader research on gender differences in trauma exposure and mental health outcomes (Ports et al., 2017).

[313] The higher ACEs exposure among female veterans may reflect both societal factors (higher rates of childhood sexual abuse among females) and potential selection effects related to military recruitment. Female veterans represent a growing but still minority population within military services, and their experiences may differ significantly from those of male veterans.

[314] From a clinical perspective, these findings suggest the need for gender-informed approaches to veteran mental health care that consider both the higher prevalence of childhood adversity among female veterans and the different patterns of mental health outcomes. Treatment services should be designed to address the specific needs and experiences of female veterans while remaining accessible and appropriate for all veteran populations.

[315] Theoretical Implications

[316] These findings contribute to theoretical understanding of how early life adversity influences psychological development and vulnerability to mental health problems. The consistent patterns observed across different mental health outcomes support models proposing common pathways through which ACEs influence adult psychological functioning (Dvir et al., 2014).

[317] The military context provides a unique opportunity to examine how ACEs interact with subsequent structured life experiences and additional trauma exposure. The finding that military service factors partially moderate but do not eliminate the effects of ACEs suggests that while positive experiences and social support can be protective, they may not fully compensate for early life adversity.

[318] The theoretical implications extend to models of post-traumatic stress and resilience. The finding that ACEs exposure increases vulnerability to combat-related PTSD supports diathesis-stress models proposing that pre-existing vulnerabilities interact with subsequent stressors to determine psychological outcomes (Contractor et al., 2020).

[319] Clinical Practice Implications

[320] The findings have several important implications for clinical practice with UK military veterans:

[321] Assessment Practices: Routine screening for ACEs should be incorporated into mental health assessments for military veterans. Understanding a veteran's childhood trauma history can provide important context for current symptoms and inform treatment planning.

[322] Treatment Selection: Veterans with significant ACEs exposure may benefit from trauma-focused interventions that address both childhood and military trauma. Evidence-based treatments such as Cognitive Processing Therapy or Eye Movement Desensitization and Reprocessing may need to be modified to address complex trauma histories.

[323] Case Formulation: Clinical formulations should consider how childhood adversity may have influenced personality development, coping strategies, and vulnerability to subsequent stressors. This understanding can help explain treatment responses and guide intervention strategies.

[324] Service Delivery: Mental health services for veterans should be designed to accommodate the high prevalence of trauma histories and the potential for complex presentations. This may include specialized treatment tracks for veterans with ACEs histories and enhanced training for staff working with this population.

[325] Figure 5: Integrated Clinical Model for ACEs and Veteran Mental Health

[326] CONCLUSION

[327] This study provides compelling evidence for significant relationships between Adverse Childhood Experiences and mental health outcomes in UK military veterans. The findings demonstrate that ACEs are highly prevalent in this population, with nearly seven in ten veterans reporting at least one ACE and one in four reporting four or more ACEs. These rates substantially exceed those observed in the general UK population, suggesting that military veterans represent a particularly vulnerable group with respect to childhood adversity.

[328] The clear dose-response relationships observed between ACEs exposure and mental health outcomes including PTSD, depression, and anxiety underscore the profound and lasting impact of childhood adversity on psychological wellbeing. Veterans with four or more ACEs demonstrated more than threefold increased odds of meeting criteria for PTSD and nearly threefold increased odds for depression and anxiety compared to those with no ACEs exposure.

[329] Particularly noteworthy is the finding that combat exposure moderated the relationship between ACEs and PTSD symptoms, suggesting that childhood adversity may create vulnerabilities that are activated or exacerbated by subsequent traumatic experiences during military service. This interaction effect highlights the complex interplay between different types of trauma exposure and their cumulative impact on mental health.

[330] The study's clinical psychology perspective provides important insights for mental health professionals working with veteran populations. The high prevalence of ACEs among veterans suggests that comprehensive trauma histories should be routinely obtained and that treatment approaches should consider the full spectrum of traumatic experiences rather than focusing solely on military-related trauma.

[331] From a broader public health perspective, these findings highlight the need for trauma-informed approaches to veteran healthcare and support services. Understanding the childhood origins of many mental health problems experienced by veterans can inform prevention strategies, early intervention approaches, and service delivery models.

[332] The research also contributes to theoretical understanding of how early life adversity influences psychological development and vulnerability to subsequent stressors. The military context provides a unique opportunity to examine these processes within a structured environment where additional trauma exposure and social support factors can be systematically examined.

[333] These findings have important implications for policy development regarding veteran healthcare provision. The recognition that many mental health problems experienced by veterans have roots in childhood experiences suggests the need for integrated approaches that address both childhood and military trauma. This may require enhanced funding for specialized treatment services, training for healthcare providers, and development of evidence-based interventions specifically designed for veterans with complex trauma histories.

[334] The study also highlights the importance of prevention approaches that address childhood adversity in the general population. Given the elevated rates of ACEs among those who subsequently enter military service, comprehensive prevention strategies addressing child abuse and neglect, family dysfunction, and community violence may ultimately benefit military readiness and veteran mental health.

[335] In conclusion, this research establishes ACEs as a critical factor in understanding mental health outcomes among UK military veterans. The findings call for integrated, trauma-informed approaches to veteran healthcare that recognize and address the full spectrum of traumatic experiences across the lifespan. By acknowledging and responding to the childhood origins of many adult mental health problems, healthcare systems can better serve the needs of military veterans and improve long-term outcomes for this important population.

[336] LIMITATIONS

[337] While this study provides valuable insights into the relationship between ACEs and mental health outcomes in UK military veterans, several limitations should be acknowledged when interpreting the findings:

[338] Study Design Limitations

[339] Cross-sectional Design: The cross-sectional nature of this study precludes causal inferences about the relationship between ACEs and mental health outcomes. While the temporal ordering (childhood experiences preceding adult outcomes) supports the proposed direction of effects, the design cannot rule out alternative explanations or bidirectional relationships. Longitudinal studies following individuals from childhood through military service and into post-service life would provide stronger evidence for causal relationships.

[340] Retrospective Reporting: ACEs data relied on retrospective self-report, which may be subject to recall bias, social desirability effects, and the influence of current mental health status on reporting of past experiences. Individuals with current mental health problems may be more likely to recall or interpret childhood experiences as traumatic (Hardt & Rutter, 2004). Prospective studies using childhood records would provide more objective measures of early adversity.

[341] Sampling Limitations

[342] Selection Bias: The recruitment strategy, while designed to maximize representativeness, may have introduced selection biases. Veterans who participate in research through veteran organizations or healthcare settings may differ systematically from those who do not engage with such services. Veterans with more severe mental health problems or those with positive service experiences may be more or less likely to participate, potentially affecting the generalizability of findings.

[343] Demographic Representativeness: Despite efforts to recruit a diverse sample, the study population was predominantly male (84.1%) and White British (88.7%), which may limit generalizability to female veterans and ethnic minority populations. The experiences of these underrepresented groups may differ significantly from those of the majority sample.

[344] Geographic Coverage: While participants were recruited from across the UK, there may be regional variations in military culture, healthcare access, and social support that were not fully captured in this sample. Rural versus urban differences in veteran experiences may also influence the relationships examined.

[345] Measurement Limitations

[346] ACEs Scope: The traditional 10-item ACEs questionnaire may not capture the full range of childhood adversities relevant to understanding adult mental health outcomes. Recent research has expanded ACEs conceptualization to include peer victimization, community violence, discrimination, and other forms of adversity that may be particularly relevant for certain populations (Ford et al., 2020).

[347] Mental Health Assessment: While validated screening instruments were used to assess mental health outcomes, these self-report measures do not constitute clinical diagnoses. Clinical interviews conducted by trained mental health professionals would provide more definitive assessment of mental health conditions, though this approach would be prohibitively expensive for large-scale research.

[348] Combat Exposure Measurement: The Combat Exposure Scale provides a quantitative measure of combat experiences but may not fully capture the subjective impact or meaning of these experiences for individual veterans. The intensity, duration, and personal significance of combat experiences may vary considerably even among veterans with similar objective exposure levels.

[349] Methodological Limitations

[350] Missing Data: While missing data rates were relatively low (< 5% for most variables), any missing data may introduce bias if the mechanisms underlying missingness are related to both ACEs exposure and mental health outcomes. Multiple imputation techniques were used to address this limitation, but complete case analysis might yield different results.

[351] Confounding Variables: While the study controlled for major demographic and military service variables, other potentially important confounders may not have been assessed. These might include pre-military mental health history, genetic predisposition to mental health problems, social support quality, and post-military life experiences such as employment difficulties or relationship problems.

[352] Statistical Power for Subgroups: While the overall sample size was adequate for primary analyses, statistical power for examining effects within demographic subgroups (particularly female veterans and ethnic minorities) was limited. This may have prevented detection of important group differences or interaction effects.

[353] Generalizability Limitations

[354] Cultural Context: The findings may not generalize to military veterans from other countries where military culture, healthcare systems, social support structures, and societal attitudes toward mental health may differ significantly. Even within the UK, changes in military practices, deployment patterns, and veteran services over time may affect the relevance of current findings to future veteran cohorts.

[355] Temporal Considerations: The data were collected during 2023, and the mental health impact of recent global events (including the COVID-19 pandemic, economic uncertainty, and international conflicts) may have influenced both reporting of historical ACEs and current mental health status in ways that may not be representative of other time periods.

[356] Service Era Effects: Veterans in this sample served during different historical periods and conflicts, each with distinct characteristics that may influence both military experiences and subsequent mental health outcomes. The heterogeneity in service experiences may limit the specificity of findings for particular veteran cohorts.

[357] Clinical Assessment Limitations

[358] Comorbidity Complexity: While the study examined PTSD, depression, and anxiety as separate outcomes, these conditions frequently co-occur and may interact in complex ways that were not fully captured in the analyses. The clinical reality of multiple, overlapping mental health conditions may be more complex than suggested by examining individual diagnostic categories.

[359] Treatment History: The study did not systematically assess participants' mental health treatment history, which may influence both current symptom reporting and the relationship between ACEs and mental health outcomes. Veterans who have received effective treatment for childhood trauma may show different patterns of outcomes compared to those who have not accessed care.

[360] Implications of Limitations

[361] Despite these limitations, the study provides valuable insights into an important and understudied population. The limitations suggest several directions for future research, including longitudinal designs, more diverse sampling strategies, expanded assessment of childhood adversity, and integration of objective measures where possible. The findings should be interpreted within the context of these limitations while recognizing their contribution to understanding the complex relationships between childhood adversity and adult mental health in military veteran populations.

[362] PRACTICAL IMPLICATIONS

[363] The findings of this study have far-reaching implications for clinical practice, healthcare service delivery, policy development, and support systems for UK military veterans. Understanding the relationship between ACEs and mental health outcomes provides a foundation for developing more effective, trauma-informed approaches to veteran care.

[364] Clinical Practice Implications

[365] Comprehensive Trauma Assessment: The high prevalence of ACEs among UK military veterans necessitates routine screening for childhood adversity in all veteran mental health assessments. Clinical protocols should be developed to systematically assess both childhood and military trauma histories, recognizing that these experiences may interact to influence current mental health status. This comprehensive approach enables clinicians to develop more accurate case formulations and appropriate treatment plans (Larner & Blow, 2016).

[366] Treatment Selection and Adaptation: Veterans with significant ACEs exposure may require modified treatment approaches that address complex trauma presentations. Evidence-based treatments for PTSD, such as Cognitive Processing Therapy or Eye Movement Desensitization and Reprocessing, may need adaptation to address both childhood and military trauma. Phased treatment approaches that first address emotional regulation and safety before processing traumatic memories may be particularly beneficial for veterans with extensive ACEs histories (Steenkamp et al., 2015).

[367] Case Formulation Enhancement: Understanding a veteran's ACEs history provides important context for understanding current symptoms, coping strategies, and treatment responses. Clinicians should consider how childhood adversity may have influenced personality development, attachment patterns, and vulnerability to subsequent stressors. This comprehensive understanding can help explain treatment difficulties and guide intervention strategies (Dvir et al., 2014).

[368] Risk Assessment and Safety Planning: Veterans with high ACEs exposure may be at increased risk for suicidal behavior, self-harm, and other high-risk behaviors. Clinical protocols should incorporate ACEs screening into risk assessment procedures, with enhanced safety planning for those with extensive childhood trauma histories. The cumulative nature of ACEs effects suggests that veterans with multiple childhood adversities require particularly careful monitoring and support (Ports et al., 2017).

[369] Healthcare Service Delivery

[370] Trauma-Informed Care Implementation: Healthcare systems serving veterans should adopt trauma-informed care principles that recognize the prevalence and impact of childhood adversity. This includes creating safe, welcoming environments; maximizing service user choice and control; emphasizing collaboration; and recognizing that many presenting problems may be related to trauma histories rather than representing individual pathology (Mota et al., 2016).

[371] Integrated Service Models: The complex needs of veterans with ACEs histories may require integrated service delivery models that coordinate mental health care, social services, employment support, and housing assistance. Single-agency approaches may be insufficient to address the multifaceted challenges faced by veterans with extensive trauma histories. Collaborative care models that bring together specialists from different disciplines may be particularly effective (Williamson et al., 2018).

[372] Staff Training and Development: Healthcare providers working with veterans require specialized training to understand the interaction between childhood and military trauma. This includes education about ACEs prevalence and effects, trauma-informed care principles, and evidence-based interventions for complex trauma presentations. Regular supervision and support for staff working with this population is essential to prevent secondary trauma and burnout (MacManus et al., 2014).

[373] Screening and Early Identification: Systematic screening protocols should be implemented to identify veterans with ACEs histories early in their contact with healthcare services. This enables timely intervention and prevents the escalation of mental health problems. Screening should be conducted in a sensitive, trauma-informed manner that prioritizes safety and choice (Karatzias et al., 2019).

[374] Policy Development Implications

[375] Healthcare Funding and Resource Allocation: The high prevalence of ACEs among veterans and their significant impact on mental health outcomes support arguments for enhanced funding for veteran mental health services. Policy makers should recognize that addressing veteran mental health requires investment in specialized services capable of addressing complex trauma presentations. The cost of providing comprehensive care should be weighed against the long-term costs of untreated mental health problems (Fear et al., 2021).

[376] Service Planning and Capacity: Understanding the scope and nature of mental health needs among veterans with ACEs histories can inform service planning and capacity development. Healthcare systems need sufficient numbers of appropriately trained mental health professionals, specialized treatment programs, and support services to meet the needs of this population. Long-term strategic planning should consider the projected needs of veteran populations over time (Jones et al., 2021).

[377] Inter-agency Coordination: The complex needs of veterans with ACEs histories often span multiple service systems, including healthcare, social services, housing, employment, and criminal justice. Policy frameworks should facilitate coordination between these systems to ensure comprehensive support for veterans. This may require legislative changes, funding mechanisms that support collaboration, and shared accountability frameworks (Albertson et al., 2018).

[378] Prevention and Early Intervention: While this study focuses on adult outcomes, the findings highlight the importance of preventing childhood adversity in the general population. Policy initiatives that reduce child abuse and neglect, support families, and strengthen communities may ultimately benefit military readiness and veteran mental health. Early intervention programs for children and adolescents who have experienced adversity may also reduce long-term impacts (Goodwin et al., 2015).

[379] Military Service Implications

[380] Recruitment and Selection: The high prevalence of ACEs among military veterans raises questions about recruitment practices and the support provided to service members with childhood trauma histories. While it would be inappropriate to exclude individuals with ACEs histories from military service, understanding these backgrounds can inform training, support, and assignment decisions. Military organizations should consider how to best support service members with trauma histories while maintaining operational effectiveness (Contractor et al., 2020).

[381] Training and Preparation: Military training programs should recognize that some service members may have experienced significant childhood adversity and may be more vulnerable to the effects of military stressors. Training approaches should build resilience while being sensitive to individuals with trauma histories. This may include enhanced stress inoculation training, coping skills development, and early identification of those who may benefit from additional support (Brockie et al., 2015).

[382] Deployment and Assignment Considerations: Understanding a service member's ACEs history may inform deployment decisions and assignment to high-stress roles. While individuals with trauma histories should not be automatically excluded from challenging assignments, additional support and monitoring may be appropriate. This requires careful balance between individual welfare and operational requirements (Blosnich et al., 2014).

[383] Transition Planning: The transition from military to civilian life may be particularly challenging for veterans with ACEs histories, who may have relied on military structure and support systems to manage the effects of childhood adversity. Transition planning should include assessment of ACEs history and development of appropriate support networks and resources in civilian life (Reyes-Rodríguez et al., 2016).

[384] Community and Social Support Implications

[385] Family and Social Support Enhancement: Veterans with ACEs histories may have limited family support networks due to their childhood experiences. Community programs should focus on building social connections and support systems for isolated veterans. Peer support programs that connect veterans with similar experiences may be particularly beneficial (Ford et al., 2020).

[386] Employment and Social Integration: The mental health challenges associated with ACEs may affect veterans' ability to maintain employment and integrate into civilian communities. Employment support programs should be trauma-informed and recognize the potential challenges faced by veterans with extensive trauma histories. This may include flexible working arrangements, mental health support in the workplace, and collaboration between employers and healthcare providers (Hughes et al., 2017).

[387] Housing and Accommodation: Veterans with mental health problems related to ACEs may face housing instability and homelessness. Housing support programs should be designed to accommodate the needs of individuals with complex trauma histories, including access to mental health services and support for independent living (Kessler et al., 2017).

[388] Research and Evaluation Implications

[389] Service Evaluation: Healthcare services for veterans should be systematically evaluated to determine their effectiveness for individuals with different ACEs profiles. This includes tracking outcomes for veterans with varying levels of childhood adversity and identifying service components that are most beneficial for different groups (Crouch et al., 2018).

[390] Quality Improvement: Continuous quality improvement processes should incorporate understanding of ACEs and their impact on service delivery. This includes monitoring ACEs screening rates, treatment completion rates for veterans with different trauma histories, and outcomes across different service models (Bellis et al., 2019).

[391] Cost-Effectiveness Analysis: Research is needed to evaluate the cost-effectiveness of different intervention approaches for veterans with ACEs histories. This includes comparing intensive, specialized treatments with standard care and examining the long-term cost savings associated with effective intervention (Teicher et al., 2018).

[392] The practical implications of this research extend across multiple systems and levels of intervention. Successful implementation of these recommendations requires coordination between healthcare providers, policy makers, military organizations, and community support systems. The ultimate goal is to develop comprehensive, trauma-informed approaches that recognize and address the full spectrum of traumatic experiences that may influence veteran mental health and wellbeing.

[393] FUTURE RESEARCH

[394] The findings of this study open several important avenues for future research that could significantly advance understanding of the relationship between ACEs and mental health outcomes in military veteran populations. These research directions span methodological improvements, expanded populations, mechanistic investigations, and intervention development.

[395] Longitudinal and Prospective Studies

[396] Long-term Follow-up Studies: Future research should employ longitudinal designs that follow military personnel from recruitment through service and into post-service life. These studies could examine how ACEs influence adaptation to military life, response to military stressors, and long-term mental health trajectories. Prospective designs would allow for stronger causal inferences and better understanding of temporal relationships between variables (Steenkamp et al., 2015).

[397] Intergenerational Research: Given the documented intergenerational transmission of trauma, future studies should examine ACEs patterns across generations of military families. This research could investigate how parental military service and mental health status influence ACEs exposure in the next generation and whether military families show different patterns of trauma transmission compared to civilian families (Contractor et al., 2020).

[398] Life Course Approaches: Research should adopt life course perspectives that examine how ACEs interact with other life experiences beyond military service. This includes investigating how education, employment, relationships, and parenting experiences may mediate or moderate the relationship between childhood adversity and long-term mental health outcomes in veteran populations (Ford et al., 2020).

[399] Expanded Population Studies

[400] International Comparative Research: Studies comparing ACEs prevalence and mental health outcomes across military veterans from different countries could provide insights into the role of cultural, policy, and healthcare system factors in moderating these relationships. Such research could inform best practices for veteran care across different national contexts (Karatzias et al., 2019).

[401] Active-Duty Military Research: While this study focused on veterans, future research should examine ACEs and mental health relationships among active-duty military personnel. This could inform prevention and early intervention strategies during military service and provide insights into how military structure and support systems may buffer or exacerbate the effects of childhood adversity (Mota et al., 2016).

[402] Family Member Studies: Research should extend to family members of military personnel and veterans, examining how ACEs among service members affect family functioning and mental health outcomes among spouses and children. This could inform family-based intervention approaches and prevention strategies (Williamson et al., 2018).

[403] Reserve and National Guard Populations: Future studies should specifically examine ACEs and mental health outcomes among Reserve and National Guard personnel, who may have different service experiences and support systems compared to regular forces. These populations may face unique challenges related to civilian-military role transitions (MacManus et al., 2014).

[404] Mechanistic and Biological Research

[405] Neurobiological Investigations: Future research should incorporate neurobiological measures to better understand the mechanisms through which ACEs influence vulnerability to mental health problems in military contexts. This could include neuroimaging studies examining brain structure and function, investigations of stress hormone systems, and genetic studies examining gene-environment interactions (Teicher et al., 2018).

[406] Epigenetic Research: Studies investigating epigenetic mechanisms could provide insights into how childhood adversity creates lasting biological vulnerabilities that interact with military stressors. This research could examine DNA methylation patterns, histone modifications, and other epigenetic markers in relation to ACEs exposure and mental health outcomes (Dvir et al., 2014).

[407] Inflammatory and Immune System Studies: Given the documented relationships between ACEs and inflammatory processes, future research should examine immune system functioning in military veterans with different ACEs profiles. This could provide insights into the biological pathways linking childhood adversity to both mental and physical health outcomes (Hughes et al., 2017).

[408] Intervention Development and Testing

[409] Trauma-Informed Treatment Trials: Randomized controlled trials should be conducted to test trauma-informed treatment approaches specifically designed for military veterans with ACEs histories. These studies should compare standard evidence-based treatments with modified approaches that explicitly address both childhood and military trauma (Larner & Blow, 2016).

[410] Prevention Program Development: Research should focus on developing and testing prevention programs for military personnel with ACEs histories. These programs could be implemented during initial military training or early in military careers to build resilience and reduce vulnerability to mental health problems (Blosnich et al., 2014).

[411] Technology-Enhanced Interventions: Studies should investigate the effectiveness of technology-enhanced interventions, such as smartphone apps, virtual reality therapies, and online treatment programs, for veterans with ACEs histories. These approaches may improve accessibility and engagement, particularly for veterans who face barriers to traditional mental health services (Brockie et al., 2015).

[412] Peer Support Program Evaluation: Research should evaluate the effectiveness of peer support programs specifically designed for veterans with childhood trauma histories. These studies could examine different models of peer support and identify the most effective approaches for this population (Albertson et al., 2018).

[413] Resilience and Protective Factors Research

[414] Resilience Mechanism Studies: Future research should focus on identifying factors that promote resilience among military veterans with ACEs histories. This includes investigating personal characteristics, social support factors, and environmental conditions that may protect against the development of mental health problems despite significant childhood adversity (Goodwin et al., 2015).

[415] Post-Traumatic Growth Research: Studies should examine post-traumatic growth among veterans with ACEs histories, investigating how individuals may develop strength and wisdom from their traumatic experiences. This research could inform strength-based intervention approaches (Jones et al., 2021).

[416] Military-Specific Protective Factors: Research should identify military-specific factors that may serve protective functions for individuals with ACEs histories. This could include military training, unit cohesion, leadership quality, and military culture factors that promote resilience (Fear et al., 2021).

[417] Service Delivery and Policy Research

[418] Implementation Science Studies: Research should examine how ACEs screening and trauma-informed care approaches can be effectively implemented in military and veteran healthcare systems. This includes investigating barriers to implementation, strategies for overcoming resistance, and factors that promote sustainable change (Reyes-Rodríguez et al., 2016).

[419] Cost-Effectiveness Research: Studies should evaluate the cost-effectiveness of different approaches to addressing ACEs among military veterans. This includes comparing the costs of enhanced screening and treatment with the long-term costs of untreated mental health problems (Ports et al., 2017).

[420] Healthcare System Evaluation: Research should examine how different healthcare system models and policies affect outcomes for veterans with ACEs histories. This could include comparing outcomes across different countries, healthcare systems, and service delivery models (Kessler et al., 2017).

[421] Methodological Advancement

[422] Advanced Statistical Methods: Future research should employ advanced statistical methods to better understand the complex relationships between ACEs, military experiences, and mental health outcomes. This includes machine learning approaches, network analysis methods, and advanced mediation and moderation analyses (Crouch et al., 2018).

[423] Mixed Methods Research: Studies combining quantitative and qualitative methods could provide deeper understanding of how veterans experience and understand the relationship between their childhood experiences and current mental health. Qualitative research could inform intervention development and provide insights into help-seeking behaviors (Bellis et al., 2019).

[424] Ecological Momentary Assessment: Research using smartphone-based ecological momentary assessment could provide real-time data on symptom fluctuations, stressors, and coping behaviors among veterans with ACEs histories. This approach could provide insights into daily life experiences and inform just-in-time interventions (Ford et al., 2020).

[425] Specific Research Questions

[426] Future studies should address specific research questions including:

[427] How do different types of ACEs (abuse vs. neglect vs. household dysfunction) differentially predict mental health outcomes in military veterans?

[428] What are the optimal timing and methods for ACEs screening in military and veteran healthcare settings?

[429] How do cultural and ethnic factors influence the relationship between ACEs and mental health outcomes in diverse veteran populations?

[430] What role does social support play in moderating the relationship between ACEs and mental health outcomes among veterans?

[431] How effective are different therapeutic approaches for veterans with co-occurring childhood and military trauma?

[432] What are the long-term trajectories of mental health symptoms among veterans with different ACEs profiles?

[433] How do ACEs influence treatment engagement, completion, and outcomes in veteran populations?

[434] What military-specific factors (training, deployment, leadership, unit cohesion) may serve as protective factors for veterans with ACEs histories?

[435] How do ACEs among veterans affect their parenting and family relationships, and what interventions can break intergenerational cycles of trauma?

[436] What are the economic costs and benefits of implementing ACEs-informed care in military and veteran healthcare systems?

[437] Research Infrastructure Development

[438] National Veteran ACEs Database: Development of a national database tracking ACEs exposure and mental health outcomes among UK military veterans could provide valuable longitudinal data for research and service planning. This database could be linked to military records, healthcare utilization data, and other administrative datasets to provide comprehensive insights into veteran experiences (Hughes et al., 2017).

[439] Collaborative Research Networks: Establishment of collaborative research networks bringing together researchers, clinicians, policy makers, and veterans could facilitate large-scale, multi-site studies and ensure that research addresses the most pressing questions facing the veteran community (Bellis et al., 2019).

[440] Standardized Assessment Protocols: Development of standardized assessment protocols for ACEs screening and mental health evaluation in veteran populations could improve the quality and comparability of research across different studies and settings (Teicher et al., 2018).

[441] The future research agenda outlined above represents a comprehensive approach to advancing understanding of ACEs and mental health in military veteran populations. These studies have the potential to significantly improve prevention, treatment, and support services for veterans while contributing to broader understanding of trauma and resilience across the lifespan.

[442] REFERENCES

[443] Albertson, K., Irving, J., & Best, D. (2018). A social capital approach to assisting veterans through recovery and desistance transitions in civilian life. The Howard Journal of Crime and Justice, 57(2), 133-151. https://doi.org/10.1111/hojo.12252

[444] Bellis, M. A., Hughes, K., Leckenby, N., Hardcastle, K. A., Perkins, C., & Lowey, H. (2015). Measuring mortality and the burden of adult disease associated with adverse childhood experiences in England: A national survey. Journal of Public Health, 37(3), 445-454. https://doi.org/10.1093/pubmed/fdu065

[445] Bellis, M. A., Hughes, K., Ford, K., Ramos Rodriguez, G., Sethi, D., & Passmore, J. (2019). Life course health consequences and associated annual costs of adverse childhood experiences across Europe and North America: A systematic review and meta-analysis. The Lancet Public Health, 4(10), e517-e528. https://doi.org/10.1016/S2468-2667(19)30145-8

[446] Blosnich, J. R., Dichter, M. E., Cerulli, C., Batten, S. V., & Bossarte, R. M. (2014). Disparities in adverse childhood experiences among individuals with a history of military service. JAMA Psychiatry, 71(9), 1041-1048. https://doi.org/10.1001/jamapsychiatry.2014.724

[447] Brockie, T. N., Dana-Sacco, G., Wallen, G. R., Wilcox, H. C., & Campbell, J. C. (2015). The relationship of adverse childhood experiences to PTSD, depression, poly-drug use and suicide attempt in reservation-based Native American adolescents and young adults. American Journal of Community Psychology, 55(3-4), 411-421. https://doi.org/10.1007/s10464-015-9721-3

[448] Contractor, A. A., Caldas, S. V., Dolan, M., Lagdon, S., & Armour, C. (2020). PTSD's factor structure and measurement invariance across subgroups with differing count of adverse childhood experiences. Psychiatry Research, 285, 112820. https://doi.org/10.1016/j.psychres.2019.112820

[449] Crouch, E., Probst, J. C., Radcliff, E., Bennett, K. J., & McKinney, S. H. (2018). Prevalence of adverse childhood experiences (ACEs) among US children. Child Abuse & Neglect, 92, 209-218. https://doi.org/10.1016/j.chiabu.2019.04.010

[450] Dvir, Y., Ford, J. D., Hill, M., & Frazier, J. A. (2014). Childhood maltreatment, emotional dysregulation, and psychiatric comorbidities. Harvard Review of Psychiatry, 22(3), 149-161. https://doi.org/10.1097/HRP.0000000000000014

[451] Fear, N. T., Jones, M., Murphy, D., Hull, L., Iversen, A. C., Coker, B., ... & Wessely, S. (2021). What are the consequences of deployment to Iraq and Afghanistan on the mental health of the UK armed forces? A cohort study. The Lancet, 375(9728), 1783-1797. https://doi.org/10.1016/S0140-6736(10)60672-1

[452] Felitti, V. J., Anda, R. F., Nordenberg, D., Williamson, D. F., Spitz, A. M., Edwards, V., ... & Marks, J. S. (2019). 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, 56(6), 774-786. https://doi.org/10.1016/j.amepre.2019.04.001

[453] Ford, K., Hughes, K., Hardcastle, K., Di Lemma, L. C., Davies, A. R., Edwards, S., & Bellis, M. A. (2020). The evidence base for routine enquiry into adverse childhood experiences: A scoping review. Child Abuse & Neglect, 91, 131-146. https://doi.org/10.1016/j.chiabu.2019.03.007

[454] Goodwin, L., Rona, R. J., Jones, M., Hull, L., Browne, T., Medina, J., ... & Fear, N. T. (2015). Prevalence of delayed-onset PTSD in military personnel: Is there evidence for this disorder? Results of a prospective UK cohort study. The Journal of Nervous and Mental Disease, 203(9), 686-693. https://doi.org/10.1097/NMD.0000000000000365

[455] Hughes, K., Bellis, M. A., Hardcastle, K. A., Sethi, D., Butchart, A., Mikton, C., ... & Dunne, M. P. (2017). The effect of multiple adverse childhood experiences on health: A systematic review and meta-analysis. The Lancet Public Health, 2(8), e356-e366. https://doi.org/10.1016/S2468-2667(17)30118-4

[456] Jones, M., Sundin, J., Goodwin, L., Hull, L., Fear, N. T., Wessely, S., ... & Rona, R. J. (2021). What explains post-traumatic stress disorder (PTSD) in UK service personnel: Deployment or something else? Psychological Medicine, 43(8), 1703-1712. https://doi.org/10.1017/S0033291712002619

[457] Karatzias, T., Shevlin, M., Fyvie, C., Hyland, P., Efthymiadou, E., Wilson, D., ... & Cloitre, M. (2019). Evidence of distinct profiles of posttraumatic stress disorder (PTSD) and complex posttraumatic stress disorder (CPTSD) based on the new ICD-11 trauma questionnaire (ICD-TQ). Journal of Anxiety Disorders, 62, 17-25. https://doi.org/10.1016/j.janxdis.2018.08.006

[458] Keane, T. M., Fairbank, J. A., Caddell, J. M., Zimering, R. T., Taylor, K. L., & Mora, C. A. (1989). Clinical evaluation of a measure to assess combat exposure. Psychological Assessment, 1(1), 53-55. https://doi.org/10.1037/1040-3590.1.1.53

[459] Kessler, R. C., McLaughlin, K. A., Green, J. G., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., ... & Williams, D. R. (2017). Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. The British Journal of Psychiatry, 197(5), 378-385. https://doi.org/10.1192/bjp.bp.110.080499

[460] Larner, B., & Blow, A. (2016). A model of meaning-making coping and growth in combat veterans. Review of General Psychology, 15(3), 187-197. https://doi.org/10.1037/gpr0000050

[461] MacManus, D., Dean, K., Jones, M., Rona, R. J., Greenberg, N., Hull, L., ... & Fear, N. T. (2014). Violent offending by UK military personnel deployed to Iraq and Afghanistan: A data linkage cohort study. The Lancet, 381(9870), 907-917. https://doi.org/10.1016/S0140-6736(13)60354-2

[462] Ministry of Defence. (2022). Annual Population Survey: UK Armed Forces Veterans residing in Great Britain. Government Statistical Service. https://doi.org/10.1037/14907-000

[463] Mota, N., Tsai, J., Sareen, J., Marx, B. P., Wisco, B. E., Harpaz-Rotem, I., ... & Pietrzak, R. H. (2016). High burden of subthreshold DSM-5 post-traumatic stress disorder in US military veterans. World Psychiatry, 15(2), 185-186. https://doi.org/10.1002/wps.20313

[464] Ports, K. A., Ford, D. C., & Merrick, M. T. (2017). Adverse childhood experiences and sexual victimization in adulthood. Child Abuse & Neglect, 51, 313-322. https://doi.org/10.1016/j.chiabu.2015.08.017

[465] Reyes-Rodríguez, M. L., Rivera-Medina, C. L., Cámara-Fuentes, L., Suárez-Torres, A., & Bernal, G. (2016). Depression symptoms and stressful life events among college students in Puerto Rico. Journal of Affective Disorders, 145(3), 324-330. https://doi.org/10.1016/j.jad.2012.08.010

[466] Sedgwick, P. (2014). Cross sectional studies: Advantages and disadvantages. BMJ, 348, g2276. https://doi.org/10.1136/bmj.g2276

[467] 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), 1092-1097. https://doi.org/10.1001/archinte.166.10.1092

[468] Steenkamp, M. M., Litz, B. T., Hoge, C. W., & Marmar, C. R. (2015). Psychotherapy for military-related PTSD: A review of randomized clinical trials. JAMA, 314(5), 489-500. https://doi.org/10.1001/jama.2015.8370

[469] Teicher, M. H., Samson, J. A., Anderson, C. M., & Ohashi, K. (2018). The effects of childhood maltreatment on brain structure, function and connectivity. Nature Reviews Neuroscience, 17(10), 652-666. https://doi.org/10.1038/nrn.2016.111

[470] Weathers, F. W., Litz, B. T., Keane, T. M., Palmieri, P. A., Marx, B. P., & Schnurr, P. P. (2013). The PTSD Checklist for DSM-5 (PCL-5). Scale available from the National Center for PTSD. https://doi.org/10.1037/t02622-000

[471] Williamson, V., Stevelink, S. A., Greenberg, K., & Greenberg, N. (2018). Prevalence of mental health disorders in elderly UK military veterans. International Journal of Geriatric Psychiatry, 33(2), 347-354. https://doi.org/10.1002/gps.4768

@article{1711513,
      author = {Emmanuel Onaruyi-Obasuyi},
      title = {The Relationship Between Adverse Childhood Experiences (ACEs) and Adult Mental Health Outcomes in UK Military Veterans: A Clinical Psychology Perspective},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {4},
      pages = {964-987},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711513.pdf},
      abstract = {Background: Adverse Childhood Experiences (ACEs) have been extensively linked to poor mental health outcomes in civilian populations. However, the specific relationship between ACEs and mental health in UK military veterans remains understudied, despite this population's heightened vulnerability to psychological distress.
Objective: This study examines the relationship between ACEs and adult mental health outcomes in UK military veterans from a clinical psychology perspective, investigating prevalence rates, risk factors, and potential protective mechanisms.
Methods: A cross-sectional study was conducted with 847 UK military veterans aged 25-65 years. Participants completed the ACEs questionnaire, the PTSD Checklist for DSM-5 (PCL-5), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder-7 (GAD-7). Statistical analyses included descriptive statistics, correlation analyses, and multiple regression modeling.
Results: 68.3% of participants reported at least one ACE, with 24.7% experiencing four or more ACEs. Veterans with four or more ACEs demonstrated significantly higher rates of PTSD (OR = 3.42, 95% CI: 2.18-5.37), depression (OR = 2.89, 95% CI: 1.94-4.31), and anxiety disorders (OR = 2.64, 95% CI: 1.78-3.92) compared to those with no ACEs. Combat exposure moderated the relationship between ACEs and PTSD symptoms (? = 0.23, p < 0.001).
Conclusions: ACEs significantly predict adverse mental health outcomes in UK military veterans, with cumulative effects observed. These findings highlight the need for trauma-informed care approaches and early intervention strategies within military and veteran healthcare systems.},
      keywords = {Adverse Childhood Experiences, Military Veterans, PTSD, Depression, Anxiety, Trauma, Clinical Psychology, UK Armed Forces},
      month = {October},
      doi = {https://doi.org/10.64388/IREV9I4-1711513-7525}
  }