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Review Article

Adverse childhood experience is associated with an increased risk of reporting chronic pain in adulthood: a stystematic review and meta-analysis

Las experiencias adversas en la infancia se asocian con un mayor riesgo de informar dolor crónico en la edad adulta: una revisión sistemática y un metaanálisis

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Article: 2284025 | Received 11 May 2023, Accepted 22 Aug 2023, Published online: 18 Dec 2023

ABSTRACT

Background: Adverse childhood experiences (ACEs) have been shown to negatively affect health in adulthood. Estimates of associations between ACEs and chronic painful conditions are lacking.

Objectives: This systematic review and meta-analysis aimed to evaluate associations between exposure to ACEs and chronic pain and pain-related disability in adults.

Methods: We searched 10 electronic databases from inception to February 2023. We included observational studies assessing associations between direct ACEs (childhood sexual, physical, emotional abuse, or neglect) alone or in combination with indirect ACEs (witnessing domestic violence, household mental illness), and adult chronic pain (≥3 months duration) and pain-related disability (daily activities limited by chronic pain). Pairs of reviewers independently extracted data and assessed study risks of bias. Random-effect models were used to calculate pooled adjusted odds ratios [aOR]. Tau square [T2], 95% prediction intervals [95%PI] and I2 expressed the amount of heterogeneity, and meta-regressions and subgroup meta-analyses investigated sources of heterogeneity (PROSPERO: CRD42020150230).

Results: We identified 85 studies including 826,452 adults of which 57 studies were included in meta-analyses. Study quality was generally good or fair (n = 70). The odds of reporting chronic pain in adulthood were significantly higher among individuals exposed to a direct ACE (aOR, 1.45, 95%CI, 1.38–1.53). Individuals reporting childhood physical abuse were significantly more likely to report both chronic pain (aOR, 1.50, 95CI, 1.39–1.64) and pain-related disability (1.46, 95CI, 1.03–2.08) during adulthood. Exposure to any ACEs alone or combined with indirect ACEs significantly increase the odds of adult chronic painful conditions (aOR, 1.53, 95%CI, 1.42–1.65) and pain-related disability (aOR, 1.29; 95%CI, 1.01–1.66). The risk of chronic pain in adulthood significantly increased from one ACE (aOR, 1.29, 95%CI, 1.22–1.37) to four or more ACEs (1.95, 95%CI, 1.73–2.19).

Conclusions: Single and cumulative ACEs are significantly associated with reporting of chronic pain and pain-related disability as an adult.

HIGHLIGHTS

  • Previous meta-analyses highlighted the negative impact of adverse childhood experiences on physical, psychological, and behavioural health across the lifespan.

  • We found exposure to any direct adverse childhood experience, i.e. childhood sexual, physical, emotional abuse, or neglect alone or combined, increased the risk of reporting chronic pain and pain-related disability in adulthood.

  • The risk of reporting chronic painful disorders increased with increasing numbers of adverse childhood experiences.

Antecedentes: Se ha demostrado que las experiencias adversas en la infancia (ACE, por sus siglas en inglés) afectan negativamente la salud en la edad adulta. Faltan estimaciones de las asociaciones entre las ACEs y las enfermedades dolorosas crónicas.

Objetivos: Esta revisión sistemática y metaanálisis tuvo como objetivo evaluar las asociaciones entre la exposición a ACE y el dolor crónico y la discapacidad relacionada con el dolor en adultos.

Métodos: Buscamos en 10 bases de datos electrónicas desde su inicio hasta febrero de 2023. Incluimos estudios observacionales que evaluaron las asociaciones entre ACEs directas (abuso sexual, físico, y emocional en la infancia, o negligencia) solas o en combinación con ACEs indirectas (presenciar violencia doméstica, enfermedad mental en el hogar), y dolor crónico en adultos (≥3 meses de duración) y discapacidad relacionada con el dolor (actividades diarias limitadas por el dolor crónico). Pares de revisores extrajeron los datos de forma independiente y evaluaron los riesgos de sesgo de los estudios. Se utilizaron modelos de efectos aleatorios para calcular las medidas agrupadas de probabilidades ajustadas [aOR]. Tau cuadrado [T2], intervalos de predicción del 95% [PI 95%] e I2 expresaron la cantidad de heterogeneidad, y las meta regresiones y los metaanálisis de subgrupos investigaron las fuentes de heterogeneidad (PROSPERO: CRD42020150230).

Resultados: Identificamos 85 estudios que incluyeron 826.452 adultos, de los cuales 57 estudios se incluyeron en los metaanálisis. La calidad de los estudios fue en general buena o regular (n = 70). Las probabilidades de reportar dolor crónico en la edad adulta fueron significativamente mayores entre las personas expuestas a una ACE directa (ORa, 1,45; IC del 95%, 1,38–1,53). Las personas que reportaron abuso físico en la infancia tenían significativamente más probabilidades de reportar tanto dolor crónico (ORa, 1,50, IC 95, 1,39–1,64) como discapacidad relacionada con el dolor (1,46, IC 95, 1,03–2,08) durante la edad adulta. La exposición a cualquier ACE sola o combinada con ACEs indirectas aumenta significativamente las probabilidades de sufrir afecciones dolorosas crónicas en adultos (ORa, 1,54; IC del 95%, 1,44–1,65) y la discapacidad relacionada con el dolor (ORa, 1,29; IC del 95%, 1,01–1,66). El riesgo de dolor crónico en la edad adulta aumentó significativamente desde un ACE (aOR, 1.29, 95%CI, 1.22–1.37) a cuatro o más ACEs (1.95, 95%CI, 1.73–2.19).

Conclusiones: Las ACE únicas y acumulativas se asocian significativamente con el reporte de dolor crónico y discapacidad relacionada con el dolor en la edad adulta.

1. Introduction

Adverse childhood experiences (ACEs) are harms directly occurring to a child or teenager such as physical, sexual, or emotional abuse, or neglect by a parent or caregiver, or can be indirect through household dysfunction or living environments such as parental death, divorce, substance abuse, or severe sickness of a parent or sibling (Control, Citation2019). Over 1 billion children – half of all children in the world – are exposed to ACEs each year (Hillis et al., Citation2016), and in 2019, the estimated past-year prevalence of ACEs were 44% in high-income countries (Hillis et al., Citation2016), and 59% in low- and middle-income countries (Hillis et al., Citation2016). 19% of European adults report having experienced two or more ACEs and 16% of US adults report having experienced four or more types of ACEs (Control, Citation2019).

Prior reviews have highlighted the negative impact of ACEs on physical,(Hughes et al., Citation2017) psychological (Moore et al., Citation2015), and behavioural health (Kalmakis & Chandler, Citation2015), and even early mortality (Grummitt et al., Citation2021).

ACEs are estimated to result in 37.5 million disability-adjusted life years globally and carry an estimated financial cost of $1.3 trillion per annum across North America and Europe, with over 75% of these costs arising in individuals reporting two or more ACEs (Bellis et al., Citation2019).

Chronic pain is defined as an unpleasant sensory and emotional experience associated with, or resembling that associated with, actual or potential tissue damage (Nicholas et al., Citation2019). Highly prevalent chronic pain conditions including musculoskeletal disorders (MSDs) and non-musculoskeletal disorders (non-MSDs) such as headache and migraine, are leading causes of years lived with disability (James et al., Citation2018). In the US alone, medical costs and lost productivity of chronic pain including joint pain and arthritis amount to between US$560 and US$635 billion per year, exceeding the costs of diagnoses such as heart or lung disease, injuries, diabetes, or cancer (Gaskin & Richard, Citation2012).

Prior reviews examining the link between ACEs and chronic pain and pain-related disability have included studies with insufficient attention to the design of control groups and to sample size (Davis et al., Citation2005; Häuser et al., Citation2011; Irish et al., Citation2010; Paras et al., Citation2009; Romans & Cohen, Citation2008), and have generated mixed results, particularly in terms of which ACEs (e.g. physical abuse, sexual abuse, or neglect) are associated with specific chronic pain condition later in life (Arnow, Citation2004; Bombay et al., Citation2009; Bussières et al., Citation2020; Davis et al., Citation2005; Norman et al., Citation2012; Paras et al., Citation2009; Sachs-Ericsson et al., Citation2009; Tidmarsh et al., Citation2022; Wegman & Stetler, Citation2009). Previous meta-analyses reporting an increase odds of long-term musculoskeletal (MSK) and general pain symptoms from childhood sexual abuse failed to clearly define symptom duration and type of painful conditions (Irish et al., Citation2010) or to report the effect of ACEs on somatic pain and headache separately (Petruccelli et al., Citation2019).

Other reviews suggested an increased risks of poor health outcomes with multiple ACE exposures (≥ 2 vs no ACE (Bellis et al., Citation2019) and ≥ 4 vs no ACE (Hughes et al., Citation2017)), but whether a dose–response relationship exists between the number of ACEs and persistent pain or pain-related disability remains unclear. Therefore a comprehensive synthesis is needed (Bussières et al., Citation2020).

We aimed to determine the extent of the relationship between exposure to ACEs and adult chronic pain and its related disability. We also explored whether unique and cumulative ACEs exposure (type and number) increase the risk of developing chronic pain and related disability (i.e. daily activities limited by chronic pain) in adulthood.

2. Methods

This review is reported according to the MOOSE Guidelines for Meta-Analyses and Systematic Reviews of Observational Studies and the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) guidelines (Shamseer et al., Citation2015; Stroup et al., Citation2000). Our published protocol (Bussières et al., Citation2020) mirrored recent recommendations on methods for systematic reviews and meta-analyses of observational studies (Dekkers et al., Citation2019; Mueller et al., Citation2018), and was prospectively registered in PROSPERO (CRD42020150230).

2.1. Search strategy

The MEDLINE (Ovid) strategy was developed by a health science librarian (JB), peer-reviewed by a second librarian using the PRESS standard (Bethell et al., Citation2017; McGowan et al., Citation2016), and adapted in nine other databases using search filter to identify observational studies (SIGN, Citation2019), reporting associations and risks of chronic pain from single or multiple ACEs. For complete search history see: https://doi.org/10.5683/SP3/BMAR8N. Bibliographies of relevant articles were searched for other relevant articles. Authors were contacted and asked to provide any non-significant or unpublished findings regarding ACEs and physical health. No additional studies were obtained by this method.

2.2. Selection criteria

The search was performed on 29 August 2019, with no language restrictions, and last updated on 22 February 2023 (). Results were imported into Rayyan Intelligent systematic review system (Ouzzani et al., Citation2016). Two authors double screened 25% of the references to establish coder reliability, and then pairs of reviewers independently screened citations and abstracts, and proceeded similarly for full text screening of potentially eligible articles. Any discrepancies were discussed and resolved through consensus. For inclusion, studies had to meet the following criteria:

  1. report single or cumulative measures of ACEs during the first 18 years of life spanning either direct types (childhood sexual, physical, emotional abuse or neglect) (WHO, Citation2006), alone or in combination, with indirect types (household dysfunction including witnessing domestic violence, frequent fear of family member, parental divorce, caregiver death, incarcerated household member, serious childhood illness/injury, economic hardship, parental unemployment, household mental illness, bullying, witnessing a violent crime) (Bethell et al., Citation2017; Hughes et al., Citation2017) and compared them with individuals who had not suffered any ACEs. Reports comparing a single ACE to cumulative ACEs were also eligible;

  2. report definitions and measurements for chronic pain in accordance with the IASP definition and indicators of disability such as activity limitation due to chronic pain using discrete and/or continuous outcomes (Nicholas et al., Citation2019);

  3. test the associations between (1) and (2);

  4. be a cross-sectional, case control, nested case–control, or cohort study measuring chronic pain or chronic pain-disability in adulthood, with a sample size of at least 100 in each group or 200 for continuous outcomes as per recent recommendations when conducting systematic reviews of observational studies (Dekkers et al., Citation2019; Hughes et al., Citation2017). Single case studies and randomized controlled trials were not included.

Figure 1. PRISMA flow diagram.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) outlining results from the study selection process.
Figure 1. PRISMA flow diagram.

We excluded studies based on high-risk populations (eg, people who are homeless, incarcerated or have a primary diagnosis of substance abuse) because few individuals have low ACE exposure in such populations. In addition, these individuals are at higher risk of adult victimization, self-harm, and overall poor physical and mental health; these factors possibly confound the association between ACEs and chronic pain and disability, thereby producing non-generalizable results (Hughes et al., Citation2017; Liu et al., Citation2021; Sheahan & Wardrop, Citation2023). We also excluded studies including people born severely prematurely, which is known to modify the pain pathway leading to altered pain in adulthood (Williams & Lascelles, Citation2020); investigating the assessment, treatment or mechanisms of chronic pain; and of adults with clear medical explanations for their pain, such as fractures, sprains, burns, visceral disease, neuropathic injury, or cancer. When findings from iterations of the same survey were reported, we included data only from the most recent. For studies with insufficient data to evaluate eligibility, we contacted the study authors twice for clarification before excluding.

2.3. Data extraction

We extracted study characteristics; ACE exposure (type, description, setting, frequency of abuse, self-report vs objectively verifiable methods); painful condition; comparison group; measurement (pain, disability, timeframe); unadjusted and adjusted estimates for discrete and continuous outcomes, and precision measures. When multiple studies reported data for the same sample and outcome, we included the report based on largest sample size or with the longest follow-up time.

2.4. Study quality

Included articles were independently assessed for methodological quality by pairs of assessors using a modified form adapted from the Scottish Intercollegiate Guidelines Network (SIGN) checklist for cohort and case–control studies (Baker et al., Citation2010), and the Joanna Briggs Institute (JBI) tool for cross sectional studies (Moola et al., Citation2017). Individual criteria were rated as recommended by these tools (e.g. ‘yes’, ‘no’, ‘can’t determine’, ‘not applicable’, ‘not reported’) based on the information reported in the study. The overall quality of individual studies was also rated as ‘high’, ‘fair’, or ‘poor’ (eTables 1–3 in the Supplement). Any discrepancies were resolved through consensus.

2.5. Data synthesis

We performed a qualitative synthesis of findings and stratified results based on the type of chronic pain disorders (MSDs or non-MSDs) and direct ACEs alone or combined with indirect ACE exposures. Data were then summarized and tabulated according to the variables listed above and reported narratively.

Meta-analysis was done separately for outcomes of chronic pain and pain-related disability and for individuals exposed to direct ACEs and to at least two types of ACEs (vs no ACE) using Comprehensive Meta-Analysis Version 3 Pro, Biostat Inc. P values less than 0.05 were considered significant. We calculated pooled ORs with the Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis, which has been shown to outperform the standard DerSimonian-Laird method we had originally planned on using (Schmidt et al., Citation2009). As the majority of studies reported sociodemographic adjustments and adjusted ORs, we elected not to transform these into RRs (Grant, Citation2014). Adjusted positive and negative counts by condition and ACEs category were generated for use in the meta-analysis. Covariates from proportional hazards models were treated as RRs. For each study, all categories of ORs for more than one ACEs were combined to give an OR for two or more ACEs by use of a weighted mean method.

We used visual inspection of forest plots and the I² statistic to assess heterogeneity among pooled studies (Higgins et al., Citation2022). Prespecified subgroup analyses were conducted to explore consistency across results by various factors including study design, type of condition, and if there was at least two studies available (Häuser et al., Citation2011). To test the hypotheses of a subgroup effect, a test of interaction with a predetermined 2-tailed alpha level of 0.05 was used (Altman & Bland, Citation2003). We conducted sensitivity analyses by excluding outlying studies (so that study 95% CIs did not overlap those of pooled measures), and by exploring the impact of the risk of different biases on the results in regression analyses. When possible, we explored potential sources of heterogeneity, for outcomes with at least ten samples and high heterogeneity between estimates, by meta-regression. We did univariate analyses to test the individual association of the following covariates (when relevant) with pooled estimates: number of ACEs measured, study setting (general population, community, clinical), country (North America, Europe, Asia), and year of publication. We explored risk of publication bias using visual inspection of funnel plots when at least ten samples were included in the meta-analysis.(Higgins et al., Citation2022) We generated forest plots showing ORs and 95% CIs for each study and the overall random-effects pooled estimate. We also performed the Begg and Mazumdar rank correlation test and Egger tests (Häuser et al., Citation2011).

3. Results

Our search identified 8320 articles, from which we included 85 studies reported in 87 articles (). 73 studies used a cross-sectional (Afifi et al., Citation2016; Citation2013; Alhalal et al., Citation2018; Anno et al., Citation2015; Badley et al., Citation2019; Baiden et al., Citation2021; Barron, Citation1997; Bendixen et al., Citation1994; Bottiroli et al., Citation2018; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chartier et al., Citation2007, Citation2010; Coles et al., Citation2015; Dennis et al., Citation2019; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Citation2009; Citation2011; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Hart-Johnson & Green, Citation2012; Häuser et al., Citation2018; Jamieson & Steege, Citation1997; Jiao et al., Citation2015; Kamiya et al., Citation2016; Kascakova et al., Citation2020; Lee et al., Citation2009; Lin et al., Citation2021; Mays et al., Citation2021; McBeth et al., Citation2015; Nicol et al., Citation2016; Noteboom et al., Citation2021; Park et al., Citation2014a; Pebole et al., Citation2022; Pierce et al., Citation2020; Reuchlein et al., Citation2016; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2007; Citation2017; Schrepf et al., Citation2018; Scott et al., Citation2011; Sheikh, Citation2018, Citation2019; Shields et al., Citation2015; Sprang et al., Citation2020; Springer et al., Citation2007; Stickley et al., Citation2015; Talley et al., Citation1998; Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2017; Varinen et al., Citation2017; Citation2019; Viana et al., Citation2018; Waehrer et al., Citation2020; Walker et al., Citation1999; Wuest et al., Citation2009; Citation2010; Citation2008; Xu et al., Citation2013; You et al., Citation2019), seven case–control (Bradford et al., Citation2012; Häuser et al., Citation2012; Ju et al., Citation2020; Park et al., Citation2016; Rahal et al., Citation2020; Sumanen et al., Citation2007; Tietjen et al., Citation2015), and five cohort design (Chandan et al., Citation2020; Kopec & Sayre, Citation2005; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Swanson et al., Citation2013), of which 57 studies were included in at least one of the meta-analyses (Afifi et al., Citation2016; Citation2013; Anda et al., Citation2010; Anno et al., Citation2015; As-Sanie et al., Citation2014; Badley et al., Citation2019; Baiden et al., Citation2021; Barron, Citation1997; Bellis et al., Citation2018; Bendixen et al., Citation1994; Bottiroli et al., Citation2018; Brennenstuhl & Fuller-Thomson, Citation2015; Chartier et al., Citation2007; Coles et al., Citation2015; Daily et al., Citation2022; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Fuller-Thomson et al., Citation2009; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Häuser et al., Citation2018; Jiao et al., Citation2015; Kamiya et al., Citation2016; Lee et al., Citation2009; Mays et al., Citation2021; McBeth et al., Citation2015; Nicol et al., Citation2016; Park et al., Citation2014a; Citation2016; Pebole et al., Citation2022; Pierce et al., Citation2020; Rahal et al., Citation2020; Sachs-Ericsson et al., Citation2007; Santo et al., Citation2022; Scott et al., Citation2011; Sheikh, Citation2018; Shields et al., Citation2015; Sprang et al., Citation2020; Springer et al., Citation2007; Stickley et al., Citation2015; Sumanen et al., Citation2007; Talley et al., Citation1998; Talley et al., Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2015; Citation2017; Varinen et al., Citation2017; Viana et al., Citation2018; Waehrer et al., Citation2020; Walker et al., Citation1999; Xu et al., Citation2013; You et al., Citation2019).

Data were collected from a total of 826,452 participants (mean age of 44 years; range: 18–90 years), from community (n = 48 studies) (Afifi et al., Citation2013; Citation2016; Alhalal et al., Citation2018; Badley et al., Citation2019; Baiden et al., Citation2021; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chartier et al., Citation2007, Citation2010; Coles et al., Citation2015; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Fuller-Thomson et al., Citation2009; Citation2011; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Kamiya et al., Citation2016; Kascakova et al., Citation2020; Kopec & Sayre, Citation2005; Lee et al., Citation2009; Lin et al., Citation2021; Noteboom et al., Citation2021; Park et al., Citation2014a; Reuchlein et al., Citation2016; Sachs-Ericsson et al., Citation2007; Citation2017; Scott et al., Citation2011; Sheikh, Citation2018, Citation2019; Shields et al., Citation2015; Stickley et al., Citation2015; Sumanen et al., Citation2007; Talley et al., Citation1994; Citation1998; Tietjen et al., Citation2015; Citation2017; Varinen et al., Citation2017; Citation2019; Wuest et al., Citation2008; Citation2009; Citation2010; Xu et al., Citation2013), clinical care (n = 19) (As-Sanie et al., Citation2014; Barron, Citation1997; Chandan et al., Citation2020; Dennis et al., Citation2019; Díaz-Olavarrieta et al., Citation2002; Hart-Johnson & Green, Citation2012; Jamieson & Steege, Citation1997; Jiao et al., Citation2015; Ju et al., Citation2020; Mays et al., Citation2021; Nicol et al., Citation2016; Pebole et al., Citation2022; Pierce et al., Citation2020; Schrepf et al., Citation2018; Tietjen et al., Citation2009; Citation2010; Viana et al., Citation2018), general population (n = 8) (Anno et al., Citation2015; Häuser et al., Citation2018; McBeth et al., Citation2015; Park et al., Citation2016; Sprang et al., Citation2020; Springer et al., Citation2007; Swanson et al., Citation2013; Waehrer et al., Citation2020), students (n = 4) (Bendixen et al., Citation1994; Bottiroli et al., Citation2018; Riedl et al., Citation2019; You et al., Citation2019), combined community and clinical care settings (n = 3) (Bradford et al., Citation2012; Häuser et al., Citation2012; Rahal et al., Citation2020), health maintenance organizations (n = 2) (Anda et al., Citation2010; Walker et al., Citation1999), and criminal court cases (n = 2) (Raphael et al., Citation2001; Raphael & Widom, Citation2011). Most studies were conducted in North America (n = 50) (Afifi et al., Citation2016; Citation2013; Anda et al., Citation2010; As-Sanie et al., Citation2014; Badley et al., Citation2019; Baiden et al., Citation2021; Barron, Citation1997; Bradford et al., Citation2012; Brennenstuhl & Fuller-Thomson, Citation2015; Chartier et al., Citation2007, Citation2010; Daily et al., Citation2022; Dennis et al., Citation2019; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Fuller-Thomson et al., Citation2009; Citation2011; Hammond & Colman, Citation2020; Hart-Johnson & Green, Citation2012; Jamieson & Steege, Citation1997; Jiao et al., Citation2015; Ju et al., Citation2020; Kopec & Sayre, Citation2005; Nicol et al., Citation2016; Park et al., Citation2016; Pebole et al., Citation2022; Pierce et al., Citation2020; Citation2022; Rahal et al., Citation2020; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Sachs-Ericsson et al., Citation2007; Citation2017; Schlauch et al., Citation2022; Schrepf et al., Citation2018; Shields et al., Citation2015; Sprang et al., Citation2020; Springer et al., Citation2007; Swanson et al., Citation2013; Talley et al., Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2015; Citation2017; Waehrer et al., Citation2020; Walker et al., Citation1999; Wuest et al., Citation2009; Citation2010; Citation2008; You et al., Citation2019), Europe (n = 24) (Bacon & White, Citation2022; Bellis et al., Citation2018; Bendixen et al., Citation1994; Bottiroli et al., Citation2018; Brown et al., Citation2018; Chandan et al., Citation2020; Eriksen et al., Citation2016; Fowler et al., Citation2020; Hanlon et al., Citation2020; Häuser et al., Citation2012; Citation2018; Kamiya et al., Citation2016; Kascakova et al., Citation2020; Mays et al., Citation2021; McBeth et al., Citation2015; Noteboom et al., Citation2021; Piontek et al., Citation2021; Riedl et al., Citation2019; Sheikh, Citation2018, Citation2019; Sumanen et al., Citation2007; Varinen et al., Citation2017; Citation2019; Viana et al., Citation2018), Australasia (n = 9) (Anno et al., Citation2015; Coles et al., Citation2015; Li et al., Citation2022; Lin et al., Citation2021; Park et al., Citation2014a; Santo et al., Citation2022; Stickley et al., Citation2015; Talley et al., Citation1998; Xu et al., Citation2013), and one in Saudi Arabia (n = 1) (Alhalal et al., Citation2018). Three studies covered multiple countries (Lee et al., Citation2009; Reuchlein et al., Citation2016; Scott et al., Citation2011), ACEs were collected through self-reported questionnaires (n = 76) (Afifi et al., Citation2016; Citation2013; Alhalal et al., Citation2018; Anda et al., Citation2010; As-Sanie et al., Citation2014; Bacon & White, Citation2022; Badley et al., Citation2019; Baiden et al., Citation2021; Barron, Citation1997; Bellis et al., Citation2018; Bendixen et al., Citation1994; Bottiroli et al., Citation2018; Bradford et al., Citation2012; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chartier et al., Citation2007, Citation2010; Coles et al., Citation2015; Daily et al., Citation2022; Dennis et al., Citation2019; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Fuller-Thomson et al., Citation2009; Citation2011; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Hart-Johnson & Green, Citation2012; Häuser et al., Citation2012; Citation2018; Jamieson & Steege, Citation1997; Ju et al., Citation2020; Kamiya et al., Citation2016; Kascakova et al., Citation2020; Kopec & Sayre, Citation2005; Li et al., Citation2022; Lin et al., Citation2021; Mays et al., Citation2021; McBeth et al., Citation2015; Nicol et al., Citation2016; Park et al., Citation2016; Pebole et al., Citation2022; Pierce et al., Citation2020; Citation2022; Piontek et al., Citation2021; Rahal et al., Citation2020; Raphael et al., Citation2001; Reuchlein et al., Citation2016; Riedl et al., Citation2019; Schlauch et al., Citation2022; Schrepf et al., Citation2018; Sheikh, Citation2018, Citation2019; Shields et al., Citation2015; Sprang et al., Citation2020; Springer et al., Citation2007; Stickley et al., Citation2015; Sumanen et al., Citation2007; Swanson et al., Citation2013; Talley et al., Citation1998; Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2015; Citation2017; Varinen et al., Citation2017; Citation2019; Viana et al., Citation2018; Waehrer et al., Citation2020; Walker et al., Citation1999; Wuest et al., Citation2009; Citation2010; Citation2008; Xu et al., Citation2013; You et al., Citation2019), documented court cases (n = 2)(Raphael et al., Citation2001; Raphael & Widom, Citation2011), interviews (n = 8) (Jiao et al., Citation2015; Lee et al., Citation2009; Noteboom et al., Citation2021; Park et al., Citation2014a; Sachs-Ericsson et al., Citation2007; Citation2017; Santo et al., Citation2022; Scott et al., Citation2011) or clinical assessment (n = 1) (Chandan et al., Citation2020). Complaints of chronic pain and disability were assessed using validated patient reported health questionnaires (n = 76) (Afifi et al., Citation2016; Citation2013; Alhalal et al., Citation2018; Anno et al., Citation2015; Badley et al., Citation2019; Baiden et al., Citation2021; Barron, Citation1997; Bendixen et al., Citation1994; Bottiroli et al., Citation2018; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chartier et al., Citation2007, Citation2010; Coles et al., Citation2015; Dennis et al., Citation2019; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Fuller-Thomson et al., Citation2009; Citation2011; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Hart-Johnson & Green, Citation2012; Häuser et al., Citation2018; Jamieson & Steege, Citation1997; Jiao et al., Citation2015; Kamiya et al., Citation2016; Kascakova et al., Citation2020; Lee et al., Citation2009; Lin et al., Citation2021; Mays et al., Citation2021; McBeth et al., Citation2015; Nicol et al., Citation2016; Noteboom et al., Citation2021; Park et al., Citation2014a; Pebole et al., Citation2022; Pierce et al., Citation2020; Reuchlein et al., Citation2016; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2007; Citation2017; Schrepf et al., Citation2018; Scott et al., Citation2011; Sheikh, Citation2018, Citation2019; Shields et al., Citation2015; Sprang et al., Citation2020; Springer et al., Citation2007; Stickley et al., Citation2015; Talley et al., Citation1998; Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2017; Varinen et al., Citation2017; Citation2019; Viana et al., Citation2018; Waehrer et al., Citation2020; Walker et al., Citation1999; Wuest et al., Citation2009; Citation2010; Citation2008; Xu et al., Citation2013; You et al., Citation2019), while other studies utilized clinical assessment techniques by a health professional (n = 11) (Badley et al., Citation2019; Bottiroli et al., Citation2018; Chandan et al., Citation2020; Häuser et al., Citation2012; Jiao et al., Citation2015; Ju et al., Citation2020; Nicol et al., Citation2016; Tietjen et al., Citation2009; Citation2010; Viana et al., Citation2018; Walker et al., Citation1999) ().

Table 1. Study Characteristics, risk estimates of long-term chronic pain and pain-related disability outcomes following adverse childhood experience.

Thirty seven studies reported on any direct, with or without indirect ACEs (Bacon & White, Citation2022; Bellis et al., Citation2018; Daily et al., Citation2022; Fuller-Thomson et al., Citation2011; Hanlon et al., Citation2020; Kascakova et al., Citation2020; Kopec & Sayre, Citation2005; Li et al., Citation2022; Lin et al., Citation2021; McBeth et al., Citation2015; Park et al., Citation2014a; Citation2016; Pierce et al., Citation2022; Piontek et al., Citation2021; Rahal et al., Citation2020; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Sachs-Ericsson et al., Citation2007; Santo et al., Citation2022; Schlauch et al., Citation2022; Sheikh, Citation2018, Citation2019; Sprang et al., Citation2020; Stickley et al., Citation2015; Talley et al., Citation1994; Citation1998; Citation2015; Citation2017; Viana et al., Citation2018; Waehrer et al., Citation2020; Walker et al., Citation1999; Wuest et al., Citation2008; Citation2009; Citation2010; Xu et al., Citation2013; You et al., Citation2019). Direct ACEs concerned physical abuse (60 studies, 69%) (Afifi et al., Citation2016; Citation2013; Anda et al., Citation2010; As-Sanie et al., Citation2014; Badley et al., Citation2019; Baiden et al., Citation2021; Barron, Citation1997; Bottiroli et al., Citation2018; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chandan et al., Citation2020; Chartier et al., Citation2007, Citation2010; Dennis et al., Citation2019; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Fuller-Thomson et al., Citation2009; Citation2011; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Hart-Johnson & Green, Citation2012; Häuser et al., Citation2012; Citation2018; Jiao et al., Citation2015; Ju et al., Citation2020; Kascakova et al., Citation2020; Kopec & Sayre, Citation2005; Lee et al., Citation2009; Lin et al., Citation2021; Mays et al., Citation2021; McBeth et al., Citation2015; Nicol et al., Citation2016; Noteboom et al., Citation2021; Park et al., Citation2014a; Citation2016; Pebole et al., Citation2022; Pierce et al., Citation2020; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Reuchlein et al., Citation2016; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2007; Citation2017; Schrepf et al., Citation2018; Scott et al., Citation2011; Sheikh, Citation2018; Shields et al., Citation2015; Sprang et al., Citation2020; Springer et al., Citation2007; Stickley et al., Citation2015; Swanson et al., Citation2013; Talley et al., Citation1998; Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2017; Walker et al., Citation1999; You et al., Citation2019), sexual abuse (n = 56, 64%) (Afifi et al., Citation2016; Anda et al., Citation2010; As-Sanie et al., Citation2014; Badley et al., Citation2019; Baiden et al., Citation2021; Barron, Citation1997; Bendixen et al., Citation1994; Bradford et al., Citation2012; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chandan et al., Citation2020; Chartier et al., Citation2007, Citation2010; Coles et al., Citation2015; Dennis et al., Citation2019; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Hanlon et al., Citation2020; Hart-Johnson & Green, Citation2012; Häuser et al., Citation2012; Citation2018; Jamieson & Steege, Citation1997; Jiao et al., Citation2015; Ju et al., Citation2020; Kamiya et al., Citation2016; Kascakova et al., Citation2020; Lee et al., Citation2009; Mays et al., Citation2021; McBeth et al., Citation2015; Nicol et al., Citation2016; Noteboom et al., Citation2021; Park et al., Citation2014a; Park et al., Citation2016; Pebole et al., Citation2022; Pierce et al., Citation2020; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Reuchlein et al., Citation2016; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2007; Citation2017; Schrepf et al., Citation2018; Scott et al., Citation2011; Sheikh, Citation2018; Sprang et al., Citation2020; Stickley et al., Citation2015; Talley et al., Citation1998; Citation1994; Citation2009; Citation2010; Tietjen et al., Citation2015; Citation2017; Walker et al., Citation1999; You et al., Citation2019), emotional abuse (n = 36, 41%) (Anda et al., Citation2010; Barron, Citation1997; Bottiroli et al., Citation2018; Bradford et al., Citation2012; Brown et al., Citation2018; Chandan et al., Citation2020; Dennis et al., Citation2019; Eriksen et al., Citation2016; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Häuser et al., Citation2012; Citation2018; Jiao et al., Citation2015; Kascakova et al., Citation2020; Kopec & Sayre, Citation2005; Lin et al., Citation2021; Mays et al., Citation2021; McBeth et al., Citation2015; Noteboom et al., Citation2021; Park et al., Citation2014a; Citation2016; Pebole et al., Citation2022; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2017; Sheikh, Citation2019; Sumanen et al., Citation2007; Talley et al., Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2015; Citation2017; Varinen et al., Citation2017; Citation2019; Walker et al., Citation1999; Xu et al., Citation2013; You et al., Citation2019), and neglect (n = 9, 10%) (Anno et al., Citation2015; Chandan et al., Citation2020; Fowler et al., Citation2020; Hanlon et al., Citation2020; Lee et al., Citation2009; Riedl et al., Citation2019; Scott et al., Citation2011; Stickley et al., Citation2015; Xu et al., Citation2013), where emotional (n = 15, 16%) (Bottiroli et al., Citation2018; Bradford et al., Citation2012; Brown et al., Citation2018; Dennis et al., Citation2019; Häuser et al., Citation2012; Citation2018; Kascakova et al., Citation2020; Mays et al., Citation2021; Pebole et al., Citation2022; Tietjen et al., Citation2009; Citation2010; Citation2015; Walker et al., Citation1999) or physical neglect (n = 15, 17%) (Bottiroli et al., Citation2018; Brown et al., Citation2018; Dennis et al., Citation2019; Häuser et al., Citation2012; Citation2018; Kascakova et al., Citation2020; Mays et al., Citation2021; Pebole et al., Citation2022; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Reuchlein et al., Citation2016; Talley et al., Citation1998; Tietjen et al., Citation2009; Citation2010; Walker et al., Citation1999) was specified. Further, 47 of the 85 studies also reported one indirect ACE or more, including witnessing intimate partner violence, parental unemployment, substance abuse, mental illness, criminality, divorce, loss or death, and financial difficulties (Afifi et al., Citation2013; Citation2016; Anda et al., Citation2010; Bacon & White, Citation2022; Badley et al., Citation2019; Barron, Citation1997; Bellis et al., Citation2018; Bottiroli et al., Citation2018; Bradford et al., Citation2012; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chandan et al., Citation2020; Chartier et al., Citation2010; Daily et al., Citation2022; Dennis et al., Citation2019; England-Mason et al., Citation2018; Fowler et al., Citation2020; Fuller-Thomson et al., Citation2009; Citation2011; Hammond & Colman, Citation2020; Ju et al., Citation2020; Kopec & Sayre, Citation2005; Lee et al., Citation2009; Li et al., Citation2022; Lin et al., Citation2021; Noteboom et al., Citation2021; Park et al., Citation2014a; Park et al., Citation2016; Piontek et al., Citation2021; Reuchlein et al., Citation2016; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2007; Citation2017; Santo et al., Citation2022; Schlauch et al., Citation2022; Schrepf et al., Citation2018; Scott et al., Citation2011; Sheikh, Citation2018; Sprang et al., Citation2020; Springer et al., Citation2007; Stickley et al., Citation2015; Sumanen et al., Citation2007; Swanson et al., Citation2013; Talley et al., Citation1998; Varinen et al., Citation2017; Citation2019; Waehrer et al., Citation2020; You et al., Citation2019). Thirty three studies reported a dose–response relationship between direct ACEs (with or without indirect ACEs) and chronic pain and pain-related disability (Afifi et al., Citation2016; Anda et al., Citation2010; Bellis et al., Citation2018; Bottiroli et al., Citation2018; Brennenstuhl & Fuller-Thomson, Citation2015; Brown et al., Citation2018; Chartier et al., Citation2010; England-Mason et al., Citation2018; Fowler et al., Citation2020; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Ju et al., Citation2020; Kopec & Sayre, Citation2005; Lee et al., Citation2009; Li et al., Citation2022; Lin et al., Citation2021; Noteboom et al., Citation2021; Park et al., Citation2014a; Citation2016; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2017; Schlauch et al., Citation2022; Schrepf et al., Citation2018; Scott et al., Citation2011; Sprang et al., Citation2020; Stickley et al., Citation2015; Swanson et al., Citation2013; Tietjen et al., Citation2015; Citation2017; Varinen et al., Citation2017; Waehrer et al., Citation2020; You et al., Citation2019). Health outcomes comprised undifferentiated chronic pain (n = 25 studies) (Alhalal et al., Citation2018; Anno et al., Citation2015; Baiden et al., Citation2021; Barron, Citation1997; Bendixen et al., Citation1994; Chartier et al., Citation2007, Citation2010; Coles et al., Citation2015; Daily et al., Citation2022; Fowler et al., Citation2020; Häuser et al., Citation2018; Kascakova et al., Citation2020; Nicol et al., Citation2016; Park et al., Citation2014a; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2007; Citation2017; Santo et al., Citation2022; Stickley et al., Citation2015; Wuest et al., Citation2008; Citation2009; Citation2010; You et al., Citation2019), chronic painful MSDs (n = 12) (Afifi et al., Citation2013; Badley et al., Citation2019; Fuller-Thomson et al., Citation2009; Hart-Johnson & Green, Citation2012; Kamiya et al., Citation2016; Kopec & Sayre, Citation2005; Li et al., Citation2022; Lin et al., Citation2021; Pebole et al., Citation2022; Riedl et al., Citation2019; Springer et al., Citation2007; Viana et al., Citation2018; Waehrer et al., Citation2020), painful non-MSDs such as widespread pain or fibromyalgia; headache or migraine, visceral pain including irritable bowel syndrome, posterior pelvic pain (n = 36) (Anda et al., Citation2010; As-Sanie et al., Citation2014; Bacon & White, Citation2022; Bellis et al., Citation2018; Bottiroli et al., Citation2018; Bradford et al., Citation2012; Brennenstuhl & Fuller-Thomson, Citation2015; Díaz-Olavarrieta et al., Citation2002; Fuller-Thomson et al., Citation2011; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Häuser et al., Citation2012; Jamieson & Steege, Citation1997; Jiao et al., Citation2015; Ju et al., Citation2020; Lee et al., Citation2009; Mays et al., Citation2021; McBeth et al., Citation2015; Park et al., Citation2016; Pierce et al., Citation2020; Piontek et al., Citation2021; Rahal et al., Citation2020; Reuchlein et al., Citation2016; Schrepf et al., Citation2018; Sheikh, Citation2018, Citation2019; Shields et al., Citation2015; Swanson et al., Citation2013; Talley et al., Citation1994; Citation1998; Tietjen et al., Citation2009; Citation2015; Citation2017; Varinen et al., Citation2017; Citation2019; Xu et al., Citation2013) or both painful MSDs and non-MSDs (n = 15) (Afifi et al., Citation2016; Bendixen et al., Citation1994; Brown et al., Citation2018; Chandan et al., Citation2020; Dennis et al., Citation2019; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Noteboom et al., Citation2021; Pierce et al., Citation2022; Schlauch et al., Citation2022; Scott et al., Citation2011; Stickley et al., Citation2015; Tietjen et al., Citation2010; Walker et al., Citation1999; You et al., Citation2019) Pain-related disability was reported in 16 studies (Badley et al., Citation2019; Chartier et al., Citation2007, Citation2010; Fowler et al., Citation2020; Hart-Johnson & Green, Citation2012; Häuser et al., Citation2018; Jiao et al., Citation2015; Nicol et al., Citation2016; Park et al., Citation2014a; Pebole et al., Citation2022; Piontek et al., Citation2021; Raphael & Widom, Citation2011; Santo et al., Citation2022; Shields et al., Citation2015; Tietjen et al., Citation2009; Walker et al., Citation1999) ().

3.1. Study quality

Study quality was generally good (25%; n = 22) (Afifi et al., Citation2016; Bottiroli et al., Citation2018; Bradford et al., Citation2012; Brown et al., Citation2018; Chartier et al., Citation2010; Dennis et al., Citation2019; England-Mason et al., Citation2018; Fowler et al., Citation2020; Hanlon et al., Citation2020; Hart-Johnson & Green, Citation2012; Häuser et al., Citation2018; Kopec & Sayre, Citation2005; Park et al., Citation2014a; Citation2016; Pebole et al., Citation2022; Rahal et al., Citation2020; Raphael et al., Citation2001; Riedl et al., Citation2019; Sachs-Ericsson et al., Citation2017; Talley et al., Citation1994; Walker et al., Citation1999; You et al., Citation2019) or fair (55%; n = 48) (Afifi et al., Citation2013; Alhalal et al., Citation2018; Anda et al., Citation2010; Anno et al., Citation2015; As-Sanie et al., Citation2014; Bacon & White, Citation2022; Badley et al., Citation2019; Baiden et al., Citation2021; Bellis et al., Citation2018; Brennenstuhl & Fuller-Thomson, Citation2015; Chartier et al., Citation2007; Coles et al., Citation2015; Daily et al., Citation2022; Díaz-Olavarrieta et al., Citation2002; Jamieson & Steege, Citation1997; Ju et al., Citation2020; Kascakova et al., Citation2020; Lee et al., Citation2009; Li et al., Citation2022; Lin et al., Citation2021; Mays et al., Citation2021; McBeth et al., Citation2015; Nicol et al., Citation2016; Noteboom et al., Citation2021; Pierce et al., Citation2020; Piontek et al., Citation2021; Raphael & Widom, Citation2011; Santo et al., Citation2022; Schrepf et al., Citation2018; Sheikh, Citation2018, Citation2019; Shields et al., Citation2015; Sprang et al., Citation2020; Sumanen et al., Citation2007; Talley et al., Citation1994; Tietjen et al., Citation2009; Citation2010; Citation2015; Citation2017; Varinen et al., Citation2017; Citation2019; Viana et al., Citation2018; Waehrer et al., Citation2020; Wuest et al., Citation2008; Citation2009; Citation2010; Xu et al., Citation2013), with around 20% (n = 17) rated as poor quality (Barron, Citation1997; Bendixen et al., Citation1994; Chandan et al., Citation2020; Eriksen et al., Citation2016; Fuller-Thomson et al., Citation2009; Citation2011; Hammond & Colman, Citation2020; Häuser et al., Citation2012; Jiao et al., Citation2015; Kamiya et al., Citation2016; Pierce et al., Citation2022; Reuchlein et al., Citation2016; Sachs-Ericsson et al., Citation2007; Scott et al., Citation2011; Springer et al., Citation2007; Stickley et al., Citation2015; Swanson et al., Citation2013) (eTables 1–3 in the Supplement).

3.2. Meta-analysis

Compared to those who reported no ACE, the odds of reporting chronic pain conditions later in life was significantly higher among individuals exposed to a direct ACE (aOR, 1.45; 95%CI, 1.38–1.53; Tau square (T2) = 0.031; prediction interval (95%PI) = 1.02–2.07; I2 = 71.8%), including childhood neglect (aOR, 1.38; 95%CI 1.15–1.66; 7 studies), sexual abuse (aOR, 1.37; 95%CI, 1.25–1.49; 27 studies), and emotional abuse (aOR, 1.56; 95%CI, 1.36–1.78; 12 studies). Individuals reporting childhood physical abuse were significantly more likely to report chronic pain (aOR, 1.50; 95%CI, 1.39–1.64; 27 studies) and pain-related disability (aOR, 1.46; 95%CI, 1.03–2.08; 8 studies) during adulthood (Table 2, Supplementary figures 1–4). Results remained unchanged after removing lower quality studies. There was no significant difference in the odds of pain-related disability among individuals reporting sexual or emotional abuse or neglect, compared to individuals without AECs.

Pooled estimates from seven case–control studies (Bradford et al., Citation2012; Häuser et al., Citation2012; Ju et al., Citation2020; Park et al., Citation2016; Rahal et al., Citation2020; Sumanen et al., Citation2007; Tietjen et al., Citation2015) and 32 cross-sectional studies (Afifi et al., Citation2013; Citation2016; Bellis et al., Citation2018; Bendixen et al., Citation1994; Daily et al., Citation2022; Díaz-Olavarrieta et al., Citation2002; England-Mason et al., Citation2018; Eriksen et al., Citation2016; Fowler et al., Citation2020; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Häuser et al., Citation2018; Jamieson & Steege, Citation1997; Jiao et al., Citation2015; Kamiya et al., Citation2016; McBeth et al., Citation2015; Nicol et al., Citation2016; Park et al., Citation2014a; Pierce et al., Citation2020; Sachs-Ericsson et al., Citation2007; Santo et al., Citation2022; Sheikh, Citation2018; Sprang et al., Citation2020; Springer et al., Citation2007; Talley et al., Citation1994; Citation1998; Tietjen et al., Citation2017; Varinen et al., Citation2017; Viana et al., Citation2018; Waehrer et al., Citation2020; Xu et al., Citation2013; You et al., Citation2019) of individuals exposed to any ACEs with or without indirect ACEs were significantly more likely to report chronic painful conditions during adulthood (aOR, 1.53; 95%CI, 1.42–1.65), including undifferentiated chronic pain, any painful MSDs, arthritis, back or neck pain, fibromyalgia, headache and migraine, irritable bowel syndrome, and posterior pelvic pain (). Exposure to any ACEs increased the odds of pain-related disability (Dennis et al., Citation2019; Fowler et al., Citation2020; Nicol et al., Citation2016; Park et al., Citation2014b; Santo et al., Citation2022) (aOR, 1.29; 95%CI, 1.01–1.66) (Table 2, Supplementary figure 5).

Figure 2. Pooled adjusted odd ratios for the effect of any adverse childhood exposure on chronic painful conditions – Case-control studies and cross-sectional studies.

Forest plot of the meta-analysis on the association between any adverse childhood exposure and chronic painful conditions. Random effects.
Figure 2. Pooled adjusted odd ratios for the effect of any adverse childhood exposure on chronic painful conditions – Case-control studies and cross-sectional studies.

Pooled aORs for the association between any ACEs and nine specific types of chronic primary pain conditions ranged from aOR, 1.29 (95%CI, 1.22–1.37) for spine pain and arthritis to aOR, 1.95 (95%CI, 1.73–2.19) for chronic pelvic pain syndrome (). Effect size slightly increased after removing lower quality studies (aOR, 1.6; 95%CI 1.44–1.76; Q=8.95, df=2; p=.01).

Table 2. Pooled aORs from random-effects meta-analyses on the association of chronic painful conditions and disability with direct types of adverse childhood experiences and with any of adverse childhood experiences – Cross-sectional studies.

The risk of any chronic pain in adulthood significantly increased from one AEC (Afifi et al., Citation2016; Anda et al., Citation2010; Bellis et al., Citation2018; Brennenstuhl & Fuller-Thomson, Citation2015; England-Mason et al., Citation2018; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Lee et al., Citation2009; Lin et al., Citation2021; Park et al., Citation2016; Tietjen et al., Citation2015; Citation2017; Waehrer et al., Citation2020) (aOR, 1.29; 95% CI, 1.22–1.37) to four or more ACEs (Anda et al., Citation2010; Bellis et al., Citation2018; Brown et al., Citation2018; Chartier et al., Citation2010; Hanlon et al., Citation2020; Lin et al., Citation2021; Noteboom et al., Citation2021; Park et al., Citation2014a, Citation2016; Riedl et al., Citation2019; Schlauch et al., Citation2022; Waehrer et al., Citation2020) (aOR, 1.95; 95%CI, 1.73–2.10) regardless of the pain condition (), and for specific MSDs and non-MSDs (). Lastly, pooled ORs from three studies (Chartier et al., Citation2010; Fowler et al., Citation2020; Gilliam et al., Citation2020) reporting on cumulative ACEs (n = 2–6 exposures) in relation to disability suggested an increased risk but it was not statistically significant (aOR, 1.77; 95%CI, 0.82–3.82).

Figure 3. Pooled adjusted odd ratios for the effect of cumulative adverse childhood exposure on chronic painful conditions.

Forest plot of the meta-analysis on the association between cumulative adverse childhood exposure and chronic painful conditions. Random effects.
Figure 3. Pooled adjusted odd ratios for the effect of cumulative adverse childhood exposure on chronic painful conditions.

Table 3. Pooled aORs from random-effects meta-analyses for cumulative adverse childhood experiences (ACEs) and chronic pain outcomes.

3.3. Heterogeneity and publication bias

There was considerable heterogeneity between estimates for all outcomes. In sensitivity analysis, excluding fifteen outlying studies (As-Sanie et al., Citation2014; Badley et al., Citation2019; Bendixen et al., Citation1994; Bradford et al., Citation2012; Hammond & Colman, Citation2020; Hanlon et al., Citation2020; Häuser et al., Citation2018; Ju et al., Citation2020; Mays et al., Citation2021; McBeth et al., Citation2015; Schrepf et al., Citation2018; Sprang et al., Citation2020; Stickley et al., Citation2015; Talley et al., Citation1994; Tietjen et al., Citation2010), exposure to physical or emotional neglect were no longer significant for chronic pain. Excluding eight studies (Bendixen et al., Citation1994; Häuser et al., Citation2018; Jamieson & Steege, Citation1997; Ju et al., Citation2020; Pierce et al., Citation2020; Rahal et al., Citation2020; Schrepf et al., Citation2018; Sprang et al., Citation2020) slightly reduced pooled ORs for chronic painful conditions. In contrast, excluding six outlying studies (As-Sanie et al., Citation2014; Dennis et al., Citation2019; Fowler et al., Citation2020; Häuser et al., Citation2018; Mays et al., Citation2021; Walker et al., Citation1999) significantly increased the odds of pain-related disability for sexual abuse (eTables 4 in the Supplement). We identified no outliers for other outcomes. Sub-group analysis by study design suggested cross-sectional studies produced similar estimates to case control studies. In meta-regression, studies measuring fewer ACEs generally reported significantly higher odds of poor health outcomes (β = –0·04; se[β] = 0·01) compared to those measuring over 5 ACEs and low quality studies reported significantly lower odds compared to high quality studies (β = –0·21; se[β] = 0·09). Number of ACEs and study quality explained approximately 52% of the variance (R2 = 0.52) (eModel 1 in the supplement). We noted no significant association between pooled estimates for the outcome of chronic pain (eModel 2 in the Supplement) or pain-related disability (eModel 3 in the supplement) and any measured covariate including country, setting or year of publication. Univariate analysis revealed no association between pooled estimates for the outcome of chronic pain for cumulative exposure and any measured covariate (country, setting, year of publication, sample, number of ACEs, study quality) (eModel 4 in the supplement).

Visual inspection of the funnel plots revealed some asymmetry suggesting publication bias for any ACEs and cumulative ACEs for chronic painful conditions. Begg and Mazumdar rank correlation test and Egger’s regression intercept were also significant. However, no publication bias was found for direct types of ACEs on chronic painful conditions (Supplementary figures 6–8).

4. Discussion

We consistently found that ACE exposures are associated with chronic pain conditions in adulthood across types of ACEs, types of painful conditions, geographical location, and over time. Pooled aORs ranged from 1.31 for single exposure to 1.98 for multiple exposures. We also found a statistically significant dose–response relationship. Pooling ORs revealed significant associations between individuals reporting a single type of abuse or neglect and adult chronic pain. Because these painful disorders are very common, a modest increase in risk implies a large number of additional cases and thus an important impact on population health.

Over 1 billion children  – half of all children in the world – are exposed to physical, sexual, or emotional violence or neglect each year (Hillis et al., Citation2016). The endemic magnitude of ACEs, their health consequences (Hughes et al., Citation2017), and their combined attributable costs (estimates between 2–6% of gross domestic product in European countries) (Hughes et al., Citation2021), compel urgent action. For optimum impact, policies and programmes designed to prevent and detect ACEs, and treat related consequences should be multisector, spanning health, social services, education, and justice sectors (Control, Citation2019; WHO, Citation2014).

Our findings suggest ACE exposure is associated with the most common and costly chronic pain conditions, including back and neck pain and other MSDs, which account for the highest total health care spending compared to other health conditions (Dieleman et al., Citation2020). People with ACEs tend to have a higher chronic disease burden, barriers to treatment engagement, and greater health care utilization in adulthood (Hargreaves et al., Citation2019). Adult patients exposed to ACEs may not be achieving optimal health outcomes due to the physiological and psychological effects of toxic stress (Tidmarsh et al., Citation2022; Werthman et al., Citation2022). While the relative contributions of these mechanisms are not yet well understood, emerging evidence links ACEs to changes in genetic expressions that affect structural and functional changes in the brain and clinical phenomena in adulthood (Lobo et al., Citation2022). ACEs may be associated with heightened pain sensitivity later in life (Pierce et al., Citation2023). Childhood neglect also predicts a flattened cortisol profile in adults, which, in turn, predicts elevated daily pain and emotional symptoms (Yeung et al., Citation2015). Further, a wide range of psychological, social, and contextual factors need to be considered in the development, maintenance, and treatment of chronic pain conditions (Mao, Citation2017). Our findings support the need to broaden healthcare provider understanding of the associations between ACEs and chronic pain, and adequately prepare them to provide trauma-informed care (TIC) pain management (Ranjbar & Erb, Citation2019; Tidmarsh et al., Citation2022). In the clinical setting, TIC encompasses the prevention, identification, and assessment of trauma, response to trauma, and recovery from trauma as a focus of all services (Forkey et al., Citation2021). TIC emphasizes physical, psychological, and emotional safety and creates opportunities for patients to rebuild a sense of control and empowerment (Ranjbar & Erb, Citation2019). Specific recommendations have been offered for TIC practices in rehabilitation settings (Baca & Salsbury, Citation2023; Ranjbar & Erb, Citation2019). Results from a recent observational study suggest that adults with and without ACEs endorsed significant improvements in pain and functioning following participation in an intensive interdisciplinary pain rehabilitation programme 2 to 3 times per week for 2 to 4 h each day over a period of 10 weeks (Craner & Lake, Citation2021). Treatment included individual pain psychology, physical and occupational therapy, and medical visits with opioid tapering with a focus on functional restoration focus, rather than seeking to relieve pain, to help patients increase engagement in physical reconditioning and valued life activities. Current efforts to improve the management of chronic pain conditions might be more successful if we broaden professional understanding of the links between ACEs and chronic pain. Adding early childhood adversities as a risk factor for chronic pain and disability to pain management competency profile to guide entry-level education (Augeard et al., Citation2022) may increase educators and future clinicians awareness and promote reflexivity.

We aimed to overcome limitations of prior reviews (Davis et al., Citation2005; Häuser et al., Citation2011; Irish et al., Citation2010; Norman et al., Citation2012; Petruccelli et al., Citation2019; Wegman & Stetler, Citation2009) by having two expert librarians create and independently review search strategies performed in 10 databases, only including studies with samples of over 100 subjects per arm, using strict definitions for ACE exposure and chronic pain and disability, and including only studies using validated instruments to measure both exposure and outcomes. Pooling ORs revealed significant associations, not previously summarized elsewhere, between individuals reporting a single type of abuse (physical, sexual, emotional) or neglect (emotional, physical) and adult chronic pain. While our findings align with prior meta-analyses examining the effect of ACEs on chronic pain (Davis et al., Citation2005; Irish et al., Citation2010), arthritis (Norman et al., Citation2012), migraine and/or chronic headache (Norman et al., Citation2012), and fibromyalgia (Häuser et al., Citation2011), we also found significant associations between any ACE and spine pain, musculoskeletal pain, chronic headache, migraine, irritable bowel syndrome, and posterior pelvic pain. Few meta-analyses have explored the cumulative effect of ACEs on chronic pain. A recent meta-analysis (Petruccelli et al., Citation2019) reported that the odds of combined somatic pain and headache during adulthood gradually increased with multiple ACEs. Our review supports a substantial gradual increased risk from 1 ACE to ≥4 ACEs for any adult chronic pain, and for painful MSDs and non-MSDs pooled separately. The small differences observed between 2 to 3 ACEs and 3 to 4 or more ACEs respectively may be due to the relatively small number of included studies per level, the varying type, severity, number, duration, timing, and method of assessment of ACEs and chronic painful conditions. Further, the response to an ACE may vary depending on the individual’s underlying characteristics, resilience, and vulnerability (Finlay et al., Citation2022).

Methodological challenges included the varying terminology, operational definitions of ‘‘child abuse and neglect’’, and tools used to measure ACEs across studies. Further, different subtypes of child maltreatment are correlated with one another, which makes it difficult to extract the impact of a specific type of maltreatment with an outcome variable. The accuracy of self-reported ACEs is also uncertain. Nonetheless, due to the hidden nature of ACEs, global data suggests self-reported child sexual abuse is 30 times higher and physical abuse is 75 times higher than official reports (Hillis et al., Citation2015). Thus, self-reports are considered an essential measurement tool, and the fact that results were consistent adds credibility. Other environmental/indirect ACEs such as major natural disasters, school shootings, and warzones are often not measured, further exacerbating the issue of underreporting (Abdelhamid et al., Citation2023; Holloway et al., Citation2023). There is an urgent need to more comprehensively identify individuals who have experienced ACEs as well as the timing, duration, and subjective severity of such experiences. The majority (84%) of included studies used a cross-sectional design. While these are useful designs to identify associations, they do not permit distinction between cause and effect, and are prone to selection and recall bias (Mann, Citation2003). However, the findings from the case–control studies revealing significant increased risks of adult chronic painful conditions (Bradford et al., Citation2012; Ju et al., Citation2020; Park et al., Citation2016; Rahal et al., Citation2020; Sumanen et al., Citation2007; Tietjen et al., Citation2015), were consistent with four of the five cohort studies with follow-up times ranging from 4 to 30 years, included in this review (Chandan et al., Citation2020; Kopec & Sayre, Citation2005; Raphael et al., Citation2001; Raphael & Widom, Citation2011; Swanson et al., Citation2013). We were unable to pool results from cohort studies. Nonetheless, consistent results across populations, geography, and study design add credibility to our conclusions. Still, confounding variables are the major problem in analysing cohort studies (Mann, Citation2003).

Substantial heterogeneity was present for most outcomes, which could only partially be explained by subgroup and sensitivity analyses. Further, the analyses of subgroup differences were underpowered because of the small number of studies included for each ACE (Cuijpers et al., Citation2021). Only the association between pain-related disability and any ACEs as well as physical abuse could be confirmed by meta-analysis. Few studies were eligible to explore the association between emotional abuse or neglect and disability. Emotional abuse and neglect are difficult to operationalize, and these were defined differently across the studies. Therefore, the strength of this association might be underestimated.

Future research should aim to prospectively assess the association between ACEs and chronic pain and disability employing analytic methods to enhance causal inference (e.g. Propensity scores, G-Methods, Causal mediation analysis, Fixed effects regression) described elsewhere (Visontay et al., Citation2021). ACEs may be more accurately understood in terms of classes, rather than using summative scores, resulting in more accurate predictive models (O'Donnell et al., Citation2017) Latent class analyses can provide deeper understanding of how certain risk factors may differentially be associated with ACE subgroups by maximizing the homogeneity within groups, (i.e. individuals within a class would respond similarly to certain maltreatment items) and the heterogeneity between groups, (i.e. individuals between classes will respond differently) (Elklit & Murphy, Citation2022). In addition, to mitigate their impact, future research is needed to understand the biological mechanisms by which ACEs influence health and disease throughout the lifespan.

In conclusion, single and cumulative ACEs appears to significantly increase the risk of reporting adult chronic pain and related disability. There is a need to reduce ACEs worldwide and address their associated societal burden.

Abbreviations
ACE:=

Adverse Childhood Experience

PA:=

Physical Abuse

SA:=

Sexual Abuse

EA:=

Emotional Abuse

N:=

Neglect

ICD-11:=

International Classification of Diseases

JBI:=

Joanna Briggs Institute

MSD:=

Musculoskeletal disorder

PRISMA-P:=

Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols

PTSD:=

Posttraumatic Stress Disorder

SIGN:=

Scottish Intercollegiate Guidelines Network

Authors contributions

Dr Bussières had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

  • Concept and design: Bussières, Hancock, Hartvigsen with input from all authors

  • Acquisition, analysis, or interpretation of data: all authors

  • Drafting of the manuscript: Bussières, Hancock, Hartvigsen

  • Critical revision of the manuscript for important intellectual content: all authors

  • Statistical analysis: Bussières

  • Administrative, technical, or material support: Bussières, Chaudhry, Tolentino

  • Supervision: Bussières, Hancock, Hartvigsen

  • Other  – review of excluded and included studies: all authors

  • developed the search: Boruff, Al Zoubi, Bussières

Dissemination to participants and related patient and public communities

The dissemination plan targets a wide audience, including members of the public, patients, patient and public communities, health professionals, and experts in the specialty through various channels: written communication, events and conferences, networks, and social media.

Provenance and peer review

Not commissioned; externally peer reviewed.

Additional contributions

We thank Nazi Torabi, MLIS (University of Toronto), for peer review of the MEDLINE search strategy.

Completed checklist – MOOSE Guidelines for Meta-Analyses and Systematic Reviews of Observational Studies and the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols)

Supplemental material

Supplemental material.docx

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Supplemental material_R3.docx

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Disclosure statement

All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

The lead author AB (the manuscript’s guarantor) affirms that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

Data availability

The authors confirm that the data supporting the findings of this study are available within the article, its supplementary materials, and the published protocol.

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