Chan-Young Kwon
Boram Lee- 1Department of Oriental Neuropsychiatry, Dong-Eui University College of Korean Medicine, Busan, Republic of Korea
- 2KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
Objective: Chronic pain is a leading cause of disability, severely impairing an individual’s daily activity and quality of life. In addition, this condition may contribute to suicidal thoughts by leading to neuropsychological impairments, a perceived lack of meaning in life, and pain-related catastrophizing. This systematic review aimed to comprehensively investigate the prevalence and associated factors of suicidal behaviors (SBs) including suicidal ideation (SI) and suicide attempt (SA) or its complete, in individuals with chronic pain.
Methods: Five electronic databases were searched up to October 4, 2022. Only observational studies investigating the prevalence of SB in individuals with chronic pain were included. The methodological quality of the included studies was assessed using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement. A meta-analysis was conducted to quantify the prevalence of SB in the population, and the command “Metaprop” was used in STATA/MP 16. In addition, factors explaining the association between chronic pain and SB identified through regression analysis were investigated.
Results: A total of 19 studies were included in this review (N = 3,312,343). The pooled lifetime prevalence of SI and SA was 28.90% (95% confidence interval, 17.95 to 41.26%) and 10.83% (5.72 to 17.30%), respectively, in a mixed sample comprising various chronic pain conditions. Importantly, the pooled prevalence of past 2-week SI was as high as 25.87% (18.09 to 34.50%). The methodological quality of the included studies was not optimal, and studies using validated SB assessment tools were lacking. Potential protective factors against SB in this population included pain coping and self-efficacy, older age, certain race/ethnicity groups, and marriage.
Conclusion: This systematic review and meta-analysis demonstrated the high prevalence of SB in individuals with chronic pain. Specifically, around 1 in 4 individuals with chronic pain had SI within the last 2 weeks. However, there was considerable heterogeneity in the pooled prevalence of SB in this population.
1. Introduction
In general, chronic pain refers to persistent or recurrent pain that lasts for longer than 3 months (Treede et al., 2015). Chronic pain can be attributed to various causes, including primary pain, cancer pain, postoperative pain, posttraumatic pain, neuropathic pain, headache, orofacial pain, visceral pain, and musculoskeletal pain (Treede et al., 2015). According to a recent meta-analysis, the overall pooled prevalence of chronic pain in young adults was 11.6%, which has been recognized as a common public health problem (Murray et al., 2022). The prevalence of chronic pain is higher in the elderly population, and the prevalence of neuropathic pain, which is an important cause of chronic pain in the population, is estimated to be up to 50% depending on the study (Domenichiello and Ramsden, 2019). Chronic pain poses a huge socio-economic burden as it is associated with lost productivity, absenteeism, early retirement costs, and the use of healthcare services (Breivik et al., 2013). For example, back pain and neck pain, common causes of chronic pain, were health conditions with the third highest cost in the United States from 1996 to 2013, with an estimated cost of $87.6 billion (Dieleman et al., 2016).
Chronic pain is a leading cause of disability, impairing an individual’s daily activity and quality of life (Hooten, 2016). Accordingly, chronic pain often has a bidirectional association with poor mental health status (Hooten, 2016). Chronic pain can lead to depression and is thought to be associated with suicidality by causing hopelessness and promoting the desire to escape through death (Wilson et al., 2013; Hooley et al., 2014). Chronic pain also has the potential to affect suicidal tendencies in relation to changes in brain circuits that mediate reward and anti-reward pathways (Elman et al., 2013). In a biopsychosocial framework, chronic pain can contribute to suicidal thoughts by leading to neuropsychological impairments, a perceived lack of meaning in life (MiL), and pain-related catastrophizing (Edwards et al., 2006; Costanza et al., 2021). Importantly, loss of MiL is one of the subcomponents of demoralization that is the major reason individual seek psychiatric treatment, and associated with poor outcomes in physical and psychiatric illness as well as suicidal ideation (SI) (Clarke and Kissane, 2002). According to a large sample analysis in the United States, from 2003 to 2014, 8.8% of approximately 120,000 suicide decedents had chronic pain, and the proportion appeared to increase over time (Petrosky et al., 2018). In addition, according to a national representative sample analysis in the United States, chronic headache and myalgia were significantly associated with SI in adolescents (odds ratio = 1.2 to 1.3) after controlling for depressive symptoms (van Tilburg et al., 2011).
To date, various interventions, including psychotropic medications, have been investigated for suicide and self-harm prevention; however, given that their benefits are marginal (Fox et al., 2020), establishing strategies for preventing suicide by addressing other conditions such as chronic pain may be promising. For example, among 250 consecutive patients admitted to a 4-week, group-based chronic pain management program, a significant reduction in SI was observed after treatment, and the authors found that individuals with high SI had greater pain catastrophizing and self-perceived burden (Kowal et al., 2014).
However, to establish an effective suicide prevention strategy through chronic pain management, it is necessary to identify the various pathways and related factors through which chronic pain can contribute to suicidal behavior (SB). These efforts may help identify sub-vulnerable groups with chronic pain in need of suicidality screening and treatment. Therefore, this systematic review aimed to comprehensively investigate the prevalence and associated factors of SBs including SI and suicide attempt (SA) in individuals with chronic pain. Based on the findings described above, the underlying hypothesis of this study was that individuals with chronic pain would be susceptible to SB. Accordingly, the first research question of this review was (1) “What is the prevalence of SB among individuals with chronic pain?” Although this study aimed to determine the prevalence of SB among individuals with chronic pain, the results are unlikely to demonstrate a causal relationship between chronic pain and SB. Instead, we sought to summarize the factors associated with SB found through regression analysis in the population. Accordingly, the second research question of this review was (2) “What are the factors associated with the presence of SB among individuals with chronic pain?”
2. Methods
This systematic review complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement (Page et al., 2021) (Supplementary file 1). In addition, the protocol of this systematic review was registered in Open Science Framework.1 This registry is one of the registers where systematic reviews can be prospectively registered (Pieper and Rombey, 2022). The protocol of this systematic review was registered on 11 June 2022. After registration in the registry, there was no amendment to the protocol.
2.1. Search strategy
Comprehensive searches were performed by a researcher (CYK) in the following five electronic bibliographic databases: MEDLINE via PubMed, Cochrane Library, EMBASE via Elsevier, Cumulative Index to Nursing and Allied Health Literature via EBSCO, and PsycARTICLES via ProQuest. The search strategy was reviewed by experts in literature search. The search strategies and search results for each database are presented in Supplementary file 2. In addition, the researcher (CYK) reviewed the reference lists of the relevant review articles and manually searched on Google Scholar to identify potentially missing literature. The search date was October 4, 2022, and all relevant studies published up to the search date were reviewed.
2.2. Eligibility criteria
(a) Participants/population: Patients with chronic pain, defined as experiencing pain for more than 3 months (Treede et al., 2015). No restrictions were placed on the cause of the pain. Studies were excluded if the duration of pain of the participants was unclear or if the studies included both chronic and acute pain patients but did not analyze them separately. There were no restrictions on the participants’ age, race/ethnicity, or sex/gender. (b) Interventions/exposures: Not applicable. (c) Comparators/controls: Not applicable. (d) Outcomes: In this review, SB includes SI and SA, but not nonsuicidal self-injury. The primary outcome of this review was any validated measure of individual components of SB (i.e., SI and SA) including the Beck Scale for Suicide Ideation (BSSI) (Beck et al., 1979). Other measures of SB were considered as secondary outcomes. Cases in which the prevalence of SB was presented following an interview with the researcher or clinician, without the use of the screening instrument, were allowed. However, studies that did not provide the prevalence of SB or presented only an unclear percentage, which made it difficult to estimate the raw data, were excluded. (e) Study type: Only observational studies including cross-sectional and longitudinal observational studies were allowed. Animal experiments, review articles, and interventional studies were excluded. There were no restrictions on the format of the research, and gray literature such as dissertations and conference abstracts were accepted. In addition, there were no restrictions on the publication year and publication language.
2.3. Study selection
The study selection process was conducted in a two-step process. The first step was the screening step, where two researchers (CYK and BL) independently reviewed the titles and abstracts of the initially retrieved documents and selected potentially relevant documents for the second step. Documents whose potential relevance could not be identified from the titles and abstracts at this step were also selected for the second step. In the second step, the full text of potentially relevant documents was further independently reviewed by the two researchers (CYK and BL). For documents excluded in the second step, the reason for the exclusion was individually stated. Through the two-step process, studies were finally selected for inclusion. During this process, when disagreements between the researchers arose, they were resolved through consensus. Software EndNote X20 (Clarivate Analytics, Philadelphia, PA, United States) was used to manage the citations of the searched documents.
2.4. Data collection
Data extraction was conducted using a pre-defined and pilot-tested Excel form (Microsoft 365, DC; Microsoft, Redmond, WA, USA). Information extracted from included studies was as follows: country of 1st author; study settings; sample size; sex, race/ethnicity, mean age, clinical conditions, duration of pain of the participants; prevalence of SB; and factors explaining the association between chronic pain and SB through regression analysis. Data extraction was conducted by two independent researchers (CYK and BL), and discrepancies were resolved through consensus. If the data were insufficient or ambiguous, an inquiry was sent through e-mail to the corresponding author of the study.
2.5. Assessment of methodological quality
To assess the methodological quality of the included observational studies, the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement was used (Von Elm et al., 2007). Among the 22-item checklist of this tool (Von Elm et al., 2007), six modified criteria were used for the assessment of the methodological quality of the included studies as follows (Allagh et al., 2015; Ha et al., 2021): (a) Is there any clear description of the study settings?; (b) Is sufficient information about the participants presented?; (c) Are validated criteria (i.e., assessment tool) for SB used?; (d) Is there information on whether the participants provided informed consent?; (e) Is there any description of consecutive participants?; and (f) Can the results be generalized to individuals with chronic pain?
2.6. Data analysis
All included studies were subjected to qualitative analysis. A meta-analysis was conducted to quantify the prevalence of SB when two or more studies reported the same outcome of SB. SB was divided into its individual components, SI and SA, and analyzed. For the meta-analysis, STATA/MP software version 16 (StataCorp LLC, College Station, TX, United States) with the command “Metaprop” was used (Nyaga et al., 2014). This command allows the quantitative synthesis of binomial data, which may be used for pooled prevalence estimation (Nyaga et al., 2014). Because this review did not limit specific types of chronic pain in the eligibility criteria, potential clinical heterogeneity among the included studies was inevitable. Given the potential heterogeneity of the included studies, a random-effects model was used to perform the meta-analysis in this review. The estimated prevalence of each SB and the 95% confidence interval (CI) were calculated. An I2 value greater than 50 and 75% was considered to indicate substantial and high heterogeneity, respectively. To account for potential heterogeneity, subgroup analysis was performed for studies that used validated tools for assessing SB and studies that did not. In addition, subgroup analysis according to population type was conducted.
3. Results
3.1. Study selection
Of the 2,645 documents initially retrieved, 246 duplicates were removed. The titles and abstracts of 2,399 documents were reviewed in the first step, and 2,290 documents not relevant to this review were excluded. In the second step, the full text of the remaining 109 documents was reviewed, and 86 of them were excluded, which included conference abstracts (n = 22), duplicates (n = 1), review articles (n = 2), studies including conditions other than pain (n = 12), studies that were unclear on whether the pain is chronic (n = 18), studies that included both chronic and acute pain (n = 7), a study that did not report any outcome related to SB (n = 1), studies that did not report the prevalence of SB (n = 13), studies that reported the prevalence but only presented it as a percentage with an unclear value (n = 8), a study reporting a mixed prevalence of suicide and homicide (n = 1), and a study of participants who already had chronic pain and SI (n = 1) (Supplementary file 3). Therefore, a total of 23 studies (N = 3,807,687) (Smith et al., 2004; Ratcliffe et al., 2008; Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Ciaramella and Poli, 2015; Im et al., 2015; Campbell et al., 2015a,b, 2016; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Ciaramella, 2017; Wilson et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Vaegter et al., 2019; Abdelghani et al., 2020; Androulakis et al., 2021; Rojas et al., 2021; Wang et al., 2021; Song et al., 2022) were included in this review. Of these studies, 19 studies (N = 3,312,343) (Smith et al., 2004; Ratcliffe et al., 2008; Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Campbell et al., 2015a,b, 2016; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Ciaramella, 2017; Wilson et al., 2017; Blakey et al., 2018; Abdelghani et al., 2020; Androulakis et al., 2021; Rojas et al., 2021; Song et al., 2022) were included in the meta-analysis. The study selection process is presented as a PRISMA flow diagram (Figure 1).
Figure 1. PRISMA flow diagram of this review. CINAHL, cumulative index to nursing and allied health literature.
3.2. Characteristics of the included studies
The included studies were conducted in nine countries in the following order of decreasing frequency: United States (n = 11, 47.83%); Australia (n = 3, 13.04%); Canada and Italy (n = 2, 8.70%, each); United Kingdom, India, Denmark, Egypt, and Taiwan (n = 1, 4.35%, each). The average sample size of the included studies was 165,552, with a total of 3,807,687 participants. In 10 studies (Smith et al., 2004; Poole et al., 2009; Kanzler et al., 2012; Cheatle et al., 2014; Bromberg et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Abdelghani et al., 2020; Androulakis et al., 2021; Song et al., 2022), information on the race or ethnicity of the participants was presented, and all of them included patients of various ethnicities. Most of the studies did not have age restrictions for the participants; however, two studies (Bromberg et al., 2017; Lewcun et al., 2018) included only adolescent participants. In addition, four studies (Im et al., 2015; Blakey et al., 2018; Androulakis et al., 2021; Song et al., 2022) included only veterans. Most of the studies targeted multiple chronic pain conditions regardless of type; however, three studies (Bertoli and de Leeuw, 2016; Lewcun et al., 2018; Wang et al., 2021) were limited to certain types of chronic pain. The most frequently reported outcome of SB was past 2-week SI, which was reported in eight studies (Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Blakey et al., 2018; Lewcun et al., 2018), followed by current SI [n = 6 (Smith et al., 2004; Ciaramella and Poli, 2015; Im et al., 2015; Bertoli and de Leeuw, 2016; Rojas et al., 2021; Song et al., 2022)], lifetime SA [n = 6 (Smith et al., 2004; Campbell et al., 2015a,b, 2016; Abdelghani et al., 2020; Wang et al., 2021)], lifetime SI [n = 5 (Smith et al., 2004; Campbell et al., 2015b, 2016; Abdelghani et al., 2020; Wang et al., 2021)], past year SI [n = 4 (Ratcliffe et al., 2008; Campbell et al., 2015a,b, 2016)], and past year SA [n = 4 (Ratcliffe et al., 2008; Campbell et al., 2015a,b, 2016)] (Table 1).
Table 1. Characteristics of included studies.
3.3. Methodological quality assessment
Except for one study (Cheatle et al., 2014), all other included studies (Smith et al., 2004; Ratcliffe et al., 2008; Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Ciaramella and Poli, 2015; Im et al., 2015; Campbell et al., 2015a,b, 2016; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Ciaramella, 2017; Wilson et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Vaegter et al., 2019; Abdelghani et al., 2020; Androulakis et al., 2021; Rojas et al., 2021; Wang et al., 2021; Song et al., 2022) specified their study settings. Most of the included studies (Smith et al., 2004; Ratcliffe et al., 2008; Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Ciaramella and Poli, 2015; Im et al., 2015; Campbell et al., 2015a,b, 2016; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Ciaramella, 2017; Blakey et al., 2018; Lewcun et al., 2018; Vaegter et al., 2019; Abdelghani et al., 2020; Androulakis et al., 2021; Rojas et al., 2021; Wang et al., 2021; Song et al., 2022) provided demographic information such as the age and sex/gender of the participants. However, in one study (Wilson et al., 2017), the sex/gender information of the participants was missing; thus, the question regarding sufficient information was answered as “no”. Five studies (Ciaramella and Poli, 2015; Campbell et al., 2015a,b, 2016; Ciaramella, 2017) using structured interviews based on the Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (DSM-IV) and two studies (Wilson et al., 2017; Blakey et al., 2018) using the BSSI for the assessment of SB were considered to have used a validated SB assessment tool. In one study (Im et al., 2015), the SB assessment tool was not specified. Four studies (Smith et al., 2004; Ratcliffe et al., 2008; Abdelghani et al., 2020; Wang et al., 2021) using unvalidated interviews or questionnaires, eight studies (Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Lewcun et al., 2018; Rojas et al., 2021) using validated tools to assess other psychiatric symptoms (e.g., depression) but not SBs, and three studies (Vaegter et al., 2019; Androulakis et al., 2021; Song et al., 2022) using the International Classification of Diseases (ICD) codes to estimate SB were considered as not using validated assessment tools for SB. Twelve studies comprising retrospective chart reviews or retrospective cohort studies (e.g., nationally representative sample) (Smith et al., 2004; Ratcliffe et al., 2008; Kanzler et al., 2012; Cheatle et al., 2014; Im et al., 2015; Campbell et al., 2015a,b, 2016; Ciaramella, 2017; Abdelghani et al., 2020; Androulakis et al., 2021; Song et al., 2022) were evaluated as ‘not applicable’ for the question regarding informed consent from the participants. Among the other studies, informed consent from the participants was mentioned in nine studies (Dutta et al., 2013; Ciaramella and Poli, 2015; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Wilson et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Rojas et al., 2021; Wang et al., 2021), and the remaining two studies (Poole et al., 2009; Vaegter et al., 2019) did not provide information on informed consent. Five studies (Ratcliffe et al., 2008; Im et al., 2015; Campbell et al., 2015a,b; Abdelghani et al., 2020) using nationally representative samples or national patient care databases were evaluated as “not applicable” for the question regarding consecutive participants. Among the other studies, there was a description of consecutive participants in only five studies (Smith et al., 2004; Bertoli and de Leeuw, 2016; Ciaramella, 2017; Wilson et al., 2017; Wang et al., 2021). For the question regarding the generalizability of the study results, the following studies targeting a specific population were evaluated as ‘no’: four studies (Im et al., 2015; Blakey et al., 2018; Androulakis et al., 2021; Song et al., 2022) on veterans, two studies (Bromberg et al., 2017; Lewcun et al., 2018) on adolescents, and three studies (Bertoli and de Leeuw, 2016; Lewcun et al., 2018; Wang et al., 2021) on certain types of chronic pain (Table 2).
Table 2. Methodological quality of included studies.
3.4. Prevalence of SB among individuals with chronic pain
3.4.1. Mixed sample
Based on the meta-analysis results, the pooled prevalence of SI in a mixed sample with different types of pain was as follows: currently, 16.70% (95% CI: 10.68–23.72%); in the past 2 weeks, 25.87% (95% CI: 18.09–34.50%); in the past year, 10.46% (95% CI: 4.34–18.81%); and lifetime, 28.90% (95% CI: 17.95–41.26%). In addition, the pooled prevalence of SA in this population was as follows: in the past year, 1.32% (95% CI: 0.62–2.27%) and lifetime, 10.83% (95% CI: 5.72–17.30%). In subgroup analysis according to whether validated assessment tools for SB were used, the pooled prevalence in studies using validated tools was 1.7–3.4 times higher than that in studies using unvalidated tools, except for past 2-week SI. The pooled prevalence of past 2-week SI in studies using unvalidated tools was 1.9 times higher than that in studies using validated tools for SB (28.67% vs. 15.29%). In subgroup analysis according to the population type, the pooled prevalence of current SI in studies without a specific population was 2.2 times higher than that in studies on veterans (20.73% vs. 9.24%). Moreover, for past 2-week SI, the pooled prevalence was the highest in studies on adolescents, followed by studies without a specific population and studies on veterans (34.74% vs. 27.48% vs. 15.29%) (Table 3).
Table 3. Meta-analysis of the prevalence of suicidal behavior among individuals with chronic pain.
3.4.2. Chronic headache
A meta-analysis of the prevalence of SA in chronic headache was conducted based on a 10-year dataset (2001 to 2010) provided in a study using an unvalidated tool for SB (Androulakis et al., 2021). The meta-analysis found that the pooled prevalence of SA among veterans with chronic headache was 0.14% (95% CI: 0.14–0.15%) (Table 3).
3.4.3. Chronic musculoskeletal pain
Based on the meta-analysis results, the pooled prevalence of SB in patients with chronic musculoskeletal pain was as follows: past 2-week SI, 19.25% (95% CI: 14.24–24.82%); past year SI, 5.02% (95% CI: 4.69–5.36%); SA without a specified duration, 0.14% (95% CI: 0.13–0.15%); and past year SA, 0.99% (95% CI: 0.79–1.21%). Subgroup analysis was available only for past 2-week SI and did not show a difference between studies on adolescents and studies without a specific population (19.87% vs. 20.42%). A meta-analysis of the prevalence of SA in chronic backache (a type of chronic musculoskeletal pain) was conducted based on a 10-year dataset (2001 to 2010) provided in a study using an unvalidated tool for SB (Androulakis et al., 2021). The meta-analysis found that the pooled prevalence of SA among veterans with chronic backache was 0.12% (95% CI: 0.12–0.13%) (Table 3).
3.5. Factors explaining the association between chronic pain and SB
Factors explaining the association between chronic pain and SB, which were identified through regression analysis, were examined. A total of 64 factors were investigated in the included studies, and no statistically significant effects were observed for 21 factors. The remaining 43 factors (67.19%) were found to have statistically significant positive or negative effects on the presence of SB among individuals with chronic pain in at least one study. Of the 43 factors, 37 factors (86.05%) were significantly associated with an increase in SB, 4 factors (9.30%) were significantly associated with a decrease in SB, and the remaining 2 factors (4.65%) were significantly associated with both an increase and a decrease in SB. Clinical factors significantly associated with increased SB in chronic pain patients included pain conditions (e.g., migraine, neuropathic pain, and fibromyalgia) and mental conditions (e.g., depressive disorders, borderline personality disorder, and posttraumatic stress disorder). In addition, some demographic and social factors such as race/ethnicity (White and Asian), poor subjective physical health, and social withdrawal were significantly associated with increased SB in individuals with chronic pain. On the other hand, pain coping and self-efficacy, age (older), race/ethnicity (Black and Hispanic/Latino), and marriage showed potentially protective effects against SB in individuals with chronic pain. Among individuals with chronic pain, sex (male) was associated with a lower prevalence of current SI but a higher prevalence of SA (Figure 2, Supplementary file 4).
Figure 2. Factors explaining the association between chronic pain and suicidal behavior. ADHD, attention-deficit/hyperactivity disorder; aSI, active suicidal ideation; NS, not significant; pSI, passive suicidal ideation; SA, suicide attempt; SF-12, the 12-Item Short Form Health Survey; SI, suicidal ideation; TBI, traumatic brain injury. Regarding the color of cell shading, red (symbol, “+”) indicates factors significantly associated with an increased risk of suicidal behavior; green (symbol, “−”) indicates factors significantly associated with reduced risk of suicidal behavior; and gray (symbol, “NS”) indicates factors not significantly associated with risk of suicidal behavior. “*” indicates the regression analysis result without adjusting for psychiatric symptoms, and “§” indicates the regression analysis result with psychiatric symptoms such as depression being adjusted. The number of “*” or “§” refers to the number of studies reporting that result. For example, “+§§” means that two regression analyses, adjusting for psychiatric symptoms, reported statistically significant associations with a higher risk of suicidal behavior.
4. Discussion
4.1. Principal findings
This systematic review was conducted to investigate the prevalence of SB and its associated factors in individuals with chronic pain. After a comprehensive search, 23 relevant observational studies (Smith et al., 2004; Ratcliffe et al., 2008; Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Ciaramella and Poli, 2015; Im et al., 2015; Campbell et al., 2015a,b, 2016; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Ciaramella, 2017; Wilson et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Vaegter et al., 2019; Abdelghani et al., 2020; Androulakis et al., 2021; Rojas et al., 2021; Wang et al., 2021; Song et al., 2022) were included in this review. Among them, 19 studies (Smith et al., 2004; Ratcliffe et al., 2008; Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Campbell et al., 2015a,b, 2016; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Ciaramella, 2017; Wilson et al., 2017; Blakey et al., 2018; Abdelghani et al., 2020; Androulakis et al., 2021; Rojas et al., 2021; Song et al., 2022) were included in the meta-analysis. Most of the included studies were conducted in Western countries, and only two studies (Dutta et al., 2013; Wang et al., 2021) were conducted in Asian countries. A major factor impairing the methodological quality of the included studies was the lack of use of validated tools for SB. Of the included studies, only seven studies (Ciaramella and Poli, 2015; Campbell et al., 2015a,b, 2016; Ciaramella, 2017; Wilson et al., 2017; Blakey et al., 2018) used validated questionnaires or structured interviews to assess SB. In addition, of the included studies, eight studies (Im et al., 2015; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Androulakis et al., 2021; Wang et al., 2021; Song et al., 2022) targeted specific populations or specific types of chronic pain and thus were at a disadvantage in terms of generalizability. A meta-analysis was conducted on the prevalence of SI and SA among individuals with chronic pain. The results showed that the pooled lifetime prevalence of SI and SA was 28.90 and 10.83%, respectively, in the mixed sample comprising various chronic pain conditions. In addition, the prevalence of SI and SA in this group in the past year was 10.46 and 1.31%, respectively, which was not unusual. The prevalence of SI in the mixed sample ranged from 10 to 25% within a year. Overall, the meta-analysis results showed high statistical heterogeneity (I2 value of 90% or higher); however, this heterogeneity could not be satisfactorily explained by subgroup analysis. Nevertheless, there was a clear difference in the prevalence of SB in subgroup analyses according to the SB assessment tool or the characteristics of the population. Excluding the pooled prevalence of past 2-week SI, the pooled prevalence rates of current SI, past year SI, lifetime SI, past year SA, and lifetime SA were 1.7 to 3.4 times greater when a validated SB assessment tool was used. In addition, in subgroup analysis according to the characteristics of the subjects in the mixed sample, the overall prevalence of SB was the highest in studies on adolescents, followed by studies without a specific population and studies on veterans. Meta-analysis of the prevalence of SB in individuals with certain pain conditions (headache, musculoskeletal pain, and backache) was available. The pooled prevalence of SA for these individuals was less than 1%, and the prevalence of SI was less than 20%, which was not higher than that for the mixed sample. In the included studies, 43 factors were reported to explain the association between chronic pain and SB, which were identified through regression analysis. Of these factors, most (37/43, 86.05%) were factors associated with an increased risk of SB in individuals with chronic pain; however, some factors were associated with a reduced risk of SB. These potentially protective factors included pain coping and self-efficacy, older age, certain race/ethnicity groups, and marriage.
4.2. Clinical implications
A major finding of this systematic review and meta-analysis was the high prevalence of SB among individuals with chronic pain. Specifically, in the mixed sample comprising various chronic pain types, the pooled prevalence of past 2-week SI and lifetime SI reached 25.87 and 28.90%, respectively. Importantly, considering that the pooled prevalence of past 2-week SI was 24.39% among patients with major depressive disorder (MDD), known as a high risk group for suicide, and 1.28% in the non-MDD group (Cai et al., 2021), the pooled prevalence of past 2-week SI among individuals with chronic pain in this review may be considered high. The results of subgroup analyses in this review demonstrated vulnerability to SB in adolescents with chronic pain. A systematic review examining the association between pain and suicide vulnerability in adolescence analyzed 25 observational studies and found that pain could approximately double the risk of suicide of adolescents (Hinze et al., 2019). Importantly, this review shed light on the complex associations between pain and suicidality in adolescents, and most associations became less robust or insignificant after controlling for psychiatric symptoms (Hinze et al., 2019). These findings suggest that psychiatric symptoms including depression may play an important mediating role in the association between pain and suicidality. Regression analyses adjusted for psychiatric symptoms in the studies included in this review identified specific risk factors that may be used as screening tools to determine suicide risk in clinical settings as follows: pain conditions (migraine, medication overuse headache, backache, neuropathic pain, and abdominal pain), mental conditions (depressive disorders, history of depression, obsessive-compulsive disorder, alcohol use disorder, drug use disorder, borderline personality disorder, antisocial personality disorder, dependent personality disorder, narcissistic personality disorder, posttraumatic stress disorder, adjustment disorder, burdensomeness, schizophrenia, schizoaffective disorder, delusional disorder, bipolar disorder, attention-deficit/hyperactivity disorder, traumatic brain injury, history of SA, and family history of depression), sex (male), and race (White) (Figure 2, Supplementary file 4).
Given the high prevalence of SB in patients with chronic pain and the direct and indirect pathways by which chronic pain contributes to suicide (Hooley et al., 2014; Hooten, 2016; Racine, 2018), screening for the suicide risk of individuals with chronic pain may be a promising strategy for reducing the national suicide risk. Overall, subgroup analyses in this review found that the pooled prevalence of SB was higher when validated SB assessment tools were used instead of unvalidated tools. Therefore, compared with unvalidated tools, validated SB assessment tools may be associated with higher sensitivity to SB. Considering that patients who have attempted suicide are more likely to seek treatment in primary care rather than mental health services (Stene-Larsen and Reneflot, 2019) and that somatic symptoms may be a sign of suicide risk (Jeon et al., 2016), appropriate screening of suicide risk using a validated assessment tool with high sensitivity for patients with chronic pain is of public health relevance.
Considering the association between chronic pain and suicide (Hooley et al., 2014; Hooten, 2016; Racine, 2018), the management of chronic pain may be considered for the purpose of reducing the risk of SB in individuals with SB. However, as the use of opioids may contribute to SB in individuals with chronic pain in the context of suicide risk, non-pharmacological therapies may be advantageous for the treatment of chronic pain in these patients (Nestadt and Bohnert, 2020). Promising non-pharmacological therapies include cognitive behavioral therapy, which is commonly used for chronic pain and suicide prevention (Stanley et al., 2009). Moreover, acupuncture, which can reduce suicide risk factors such as chronic pain (Vickers et al., 2018), depression (Armour et al., 2019), and chronic pain-related depression (You et al., 2021), may be considered as one of the promising non-pharmacological therapies for individuals with chronic pain and suicide risk. A recent systematic review examined the effectiveness and safety of acupuncture for SB (Kwon and Lee, 2023). Although definitive conclusions could not be drawn due to the lack of eligible studies, studies of acupuncture involving subjects at risk of suicide have mainly used ear acupuncture (Kwon and Lee, 2023). The potential shared therapeutic mechanisms of ear acupuncture for chronic pain and suicide prevention include stimulation of the auricular branches of the vagus nerve, anti-inflammatory activity, and antioxidant activity (Hou et al., 2015).
In this review, factors associated with the low prevalence of SB in individuals with chronic pain could be considered for a suicide prevention strategy. Potential modifiable protective factors for SB included pain coping and self-efficacy as well as marriage. In particular, self-efficacy plays a role in managing SI and impulses, potentially contributing to the prevention of SB (Czyz et al., 2014). Accordingly, some researchers have suggested that suicide prevention interventions can be provided to adolescents at risk of suicide by enhancing motivation and self-efficacy (Micol et al., 2022). On the other hand, unmodifiable factors included older age and certain race/ethnicity groups, which could be used to identify vulnerability to SB in individuals with chronic pain.
Demoralization and its subcomponent loss of MiL, although not found in this study, are also worth discussing in relation to chronic pain and SB. Importantly, demoralization is relevant to chronic pain as it developed in a somatic context associated to psychic suffering (Clarke and Kissane, 2002). A recent case–control study found that demoralization in patients with chronic pain had a positive correlation with SI, almost as strong as depression (Chytas et al., 2023). Demoralization is often underestimated, but because it is likely an independent risk factor for SB (Costanza et al., 2022), it can be considered an important target to be considered along with chronic pain in the detection of suicide risk. Demoralization may be an important target for screening for suicide risk because it can be identified even in individuals for whom the clinical diagnosis of depression is difficult to define, and is useful because it suggests therapeutic indications, such as meaning-centered psychotherapeutic (Costanza et al., 2022) and interpersonal approaches (Costanza et al., 2020).
4.3. Strengths and limitations
This study, for the first time, pooled the prevalence of SB in individuals with chronic pain and presented results highlighting the importance of suicide risk screening in this potentially vulnerable population. Given the high prevalence of chronic pain (Domenichiello and Ramsden, 2019; Murray et al., 2022) and the high suicide rates are still a public health threat (Petrosky et al., 2018; Naghavi, 2019), the findings may contribute to the establishment of strategies for reducing suicide rates in the future. There were some limitations in this systematic review. First, most of the included studies (Smith et al., 2004; Ratcliffe et al., 2008; Poole et al., 2009; Kanzler et al., 2012; Dutta et al., 2013; Cheatle et al., 2014; Ciaramella and Poli, 2015; Im et al., 2015; Campbell et al., 2015a,b, 2016; Bertoli and de Leeuw, 2016; Bromberg et al., 2017; Ciaramella, 2017; Wilson et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Vaegter et al., 2019; Abdelghani et al., 2020; Androulakis et al., 2021; Rojas et al., 2021) were conducted in Western countries. Among the included studies, 10 studies (Smith et al., 2004; Poole et al., 2009; Kanzler et al., 2012; Cheatle et al., 2014; Bromberg et al., 2017; Blakey et al., 2018; Lewcun et al., 2018; Abdelghani et al., 2020; Androulakis et al., 2021; Song et al., 2022) described the inclusion of patients of various ethnicities; however, relatively few studies on the prevalence of SB in patients with chronic pain in Asian countries were found. Given that a study (Androulakis et al., 2021) included in this review found that Asians were associated with an increased risk of SB in cases of chronic pain, this topic deserves further investigation in Asian countries. This will be a relevant research topic in some Asian countries with high suicide rates, such as South Korea (Ilic and Ilic, 2022). Second, the meta-analysis in this review showed high statistical heterogeneity that could not be explained by subgroup analyses in most cases. This may be attributed to differences in the SB assessment tools, pain conditions, and race/ethnicity and sex of the population. In order to reduce this heterogeneity, certain factors found to explain the relationship between chronic pain and SB in this review can be referenced in the design of future observational studies investigating SB in individuals with chronic pain. Third, among the included studies, no study compared the prevalence of SB between the general population and individuals with chronic pain. Therefore, based on the included studies, we cannot directly conclude that the prevalence of SB in individuals with chronic pain is higher than that in the general population. Fourth, among the included studies, no study longitudinally followed changes in SB in individuals with chronic pain. Therefore, this review did not estimate the direction and trend of longitudinal changes in SBs such as SI or SA in individuals with chronic pain. Also, for the same reason, a causal assessment between the SB-related factors found in this study and the presence of SB was not possible. Therefore, the potentially protective or risk factors should be regarded as potential, and their causality in the context of SB among individuals with chronic pain should be verified in future longitudinal studies. Finally, although recent studies have shown that coronavirus disease 2019 (COVID-19) as a stressful event may affect SB in the general population (Yan et al., 2023), this review was unable to estimate the difference in the prevalence of SB before and after COVID-19 in patients with chronic pain due to a lack of relevant studies. Considering that distress caused by COVID-19 itself may contribute to SB and that limited healthcare visits due to COVID-19 may exacerbate chronic pain and potentially comorbid mental health conditions (John et al., 2022; Tanaka, 2022), this topic should be addressed in the future.
5. Conclusion
This systematic review and meta-analysis demonstrated the high prevalence of SB in individuals with chronic pain. Specifically, around 1 in 4 individuals with chronic pain had SI within the last 2 weeks. However, there was considerable statistical heterogeneity in the pooled prevalence of SB in this population. Factors associated with the lower prevalence of SB in this population included pain coping and self-efficacy, age (older), race/ethnicity (Black and Hispanic/Latino), and marriage. The findings of this review may be considered as a public health contribution to address high suicide rates worldwide in the future.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
C-YK: conceptualization, formal analysis, writing (original draft preparation), and funding acquisition. C-YK and BL: methodology, literature screening/selection, and writing (review and editing). All authors contributed to the article and approved the submitted version.
Funding
This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (grant number: HF22C0039).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1217299/full#supplementary-material
Footnotes
References
Abdelghani, M., Ibrahim, S., Said, A., and Foad, E. (2020). Can prescription drug use disorder predict suicidality in US adults with chronic pain? A pilot study based on collaborative psychiatric epidemiological surveys. J. Addict. Med. 14, e330–e336. doi: 10.1097/ADM.0000000000000670
Allagh, K. P., Shamanna, B. R., Murthy, G. V., Ness, A. R., Doyle, P., Neogi, S. B., et al. (2015). Birth prevalence of neural tube defects and orofacial clefts in India: a systematic review and meta-analysis. PLoS One 10:e0118961. doi: 10.1371/journal.pone.0118961
Androulakis, X. M., Guo, S., Zhang, J., Sico, J., Warren, P., Giakas, A., et al. (2021). Suicide attempts in US veterans with chronic headache disorders: a 10-year retrospective cohort study. J. Pain Res. 14, 2629–2639. doi: 10.2147/JPR.S322432
Armour, M., Smith, C. A., Wang, L. Q., Naidoo, D., Yang, G. Y., Macpherson, H., et al. (2019). Acupuncture for depression: a systematic review and Meta-analysis. J. Clin. Med. 8:1140. doi: 10.3390/jcm8081140
Beck, A. T., Kovacs, M., and Weissman, A. (1979). Assessment of suicidal intention: the scale for suicide ideation. J. Consult. Clin. Psychol. 47, 343–352. doi: 10.1037/0022-006X.47.2.343
Bertoli, E., and De Leeuw, R. (2016). Prevalence of suicidal ideation, depression, and anxiety in chronic temporomandibular disorder patients. J. Oral Facial Pain Headache 30, 296–301. doi: 10.11607/ofph.1675
Blakey, S. M., Wagner, H. R., Naylor, J., Brancu, M., Lane, I., Sallee, M., et al. (2018). Chronic pain, TBI, and PTSD in military veterans: a link to suicidal ideation and violent impulses? J. Pain 19, 797–806. doi: 10.1016/j.jpain.2018.02.012
Breivik, H., Eisenberg, E., and O'brien, T. (2013). The individual and societal burden of chronic pain in Europe: the case for strategic prioritisation and action to improve knowledge and availability of appropriate care. BMC Public Health 13:1229. doi: 10.1186/1471-2458-13-1229
Bromberg, M. H., Law, E. F., and Palermo, T. M. (2017). Suicidal ideation in adolescents with and without chronic pain. Clin. J. Pain 33, 21–27. doi: 10.1097/AJP.0000000000000366
Cai, H., Xie, X. M., Zhang, Q., Cui, X., Lin, J. X., Sim, K., et al. (2021). Prevalence of suicidality in major depressive disorder: a systematic review and Meta-analysis of comparative studies. Front. Psych. 12:690130. doi: 10.3389/fpsyt.2021.690130
Campbell, G., Bruno, R., Darke, S., and Degenhardt, L. (2015a). Associations of borderline personality with pain, problems with medications and suicidality in a community sample of chronic non-cancer pain patients prescribed opioids for pain. Gen. Hosp. Psychiatry 37, 434–440. doi: 10.1016/j.genhosppsych.2015.05.004
Campbell, G., Bruno, R., Darke, S., Shand, F., Hall, W., Farrell, M., et al. (2016). Prevalence and correlates of suicidal thoughts and suicide attempts in people prescribed pharmaceutical opioids for chronic pain. Clin. J. Pain 32, 292–301. doi: 10.1097/AJP.0000000000000283
Campbell, G., Darke, S., Bruno, R., and Degenhardt, L. (2015b). The prevalence and correlates of chronic pain and suicidality in a nationally representative sample. Aust. N. Z. J. Psychiatry 49, 803–811. doi: 10.1177/0004867415569795
Cheatle, M. D., Wasser, T., Foster, C., Olugbodi, A., and Bryan, J. (2014). Prevalence of suicidal ideation in patients with chronic non-cancer pain referred to a behaviorally based pain program. Pain Phys. 17, E359–E367. doi: 10.36076/ppj.2014/17/E359
Chytas, V., Costanza, A., Mazzola, V., Luthy, C., Bondolfi, G., and Cedraschi, C. (2023). Demoralization and suicidal ideation in chronic pain patients. Psychol. Res. Behav. Manag. 16, 611–617. doi: 10.2147/PRBM.S367461
Ciaramella, A. (2017). Mood Spectrum disorders and perception of pain. Psychiatry Q. 88, 687–700. doi: 10.1007/s11126-017-9489-8
Ciaramella, A., and Poli, P. (2015). Chronic low Back pain: perception and coping with pain in the presence of psychiatric comorbidity. J. Nerv. Ment. Dis. 203, 632–640. doi: 10.1097/NMD.0000000000000340
Clarke, D. M., and Kissane, D. W. (2002). Demoralization: its phenomenology and importance. Aust. N. Z. J. Psychiatry 36, 733–742. doi: 10.1046/j.1440-1614.2002.01086.x
Costanza, A., Amerio, A., Aguglia, A., Serafini, G., and Amore, M. (2020). Meaning in life and demoralization constructs in light of the interpersonal theory of suicide: a trans-theoretical hypothesis for a cross-sectional study. Psychol. Res. Behav. Manag. 13, 855–858. doi: 10.2147/PRBM.S279829
Costanza, A., Chytas, V., Piguet, V., Luthy, C., Mazzola, V., Bondolfi, G., et al. (2021). Meaning in life among patients with chronic pain and suicidal ideation: mixed methods study. JMIR Form. Res. 5:e29365. doi: 10.2196/29365
Costanza, A., Vasileios, C., Ambrosetti, J., Shah, S., Amerio, A., Aguglia, A., et al. (2022). Demoralization in suicide: a systematic review. J. Psychosom. Res. 157:110788. doi: 10.1016/j.jpsychores.2022.110788
Czyz, E. K., Bohnert, A. S., King, C. A., Price, A. M., Kleinberg, F., and Ilgen, M. A. (2014). Self-efficacy to avoid suicidal action: factor structure and convergent validity among adults in substance use disorder treatment. Suicide Life Threat. Behav. 44, 698–709. doi: 10.1111/sltb.12101
Dieleman, J. L., Baral, R., Birger, M., Bui, A. L., Bulchis, A., Chapin, A., et al. (2016). US spending on personal health care and public health, 1996-2013. JAMA 316, 2627–2646. doi: 10.1001/jama.2016.16885
Domenichiello, A. F., and Ramsden, C. E. (2019). The silent epidemic of chronic pain in older adults. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 93, 284–290. doi: 10.1016/j.pnpbp.2019.04.006
Dutta, D., Bharati, S., Roy, C., and Das, G. (2013). Measurement of prevalence of 'major depressive syndrome' among Indian patients attending pain clinic with chronic pain using PHQ-9 scale. J. Anaesthesiol. Clin. Pharmacol. 29, 76–82. doi: 10.4103/0970-9185.105808
Edwards, R. R., Smith, M. T., Kudel, I., and Haythornthwaite, J. (2006). Pain-related catastrophizing as a risk factor for suicidal ideation in chronic pain. Pain 126, 272–279. doi: 10.1016/j.pain.2006.07.004
Elman, I., Borsook, D., and Volkow, N. D. (2013). Pain and suicidality: insights from reward and addiction neuroscience. Prog. Neurobiol. 109, 1–27. doi: 10.1016/j.pneurobio.2013.06.003
Fox, K. R., Huang, X., Guzmán, E. M., Funsch, K. M., Cha, C. B., Ribeiro, J. D., et al. (2020). Interventions for suicide and self-injury: a meta-analysis of randomized controlled trials across nearly 50 years of research. Psychol. Bull. 146, 1117–1145. doi: 10.1037/bul0000305
Ha, D.-J., Park, J.-H., Jung, S.-E., Lee, B., Kim, M.-S., Sim, K.-L., et al. (2021). The experience of emotional labor and its related factors among nurses in general hospital settings in Republic of Korea: a systematic review and meta-analysis. Sustainability 13:11634. doi: 10.3390/su132111634
Hinze, V., Crane, C., Ford, T., Buivydaite, R., Qiu, L., and Gjelsvik, B. (2019). The relationship between pain and suicidal vulnerability in adolescence: a systematic review. Lancet Child Adolesc. Health 3, 899–916. doi: 10.1016/S2352-4642(19)30267-6
Hooley, J. M., Franklin, J. C., and Nock, M. K. (2014). Chronic pain and suicide: understanding the association. Curr. Pain Headache Rep. 18:435. doi: 10.1007/s11916-014-0435-2
Hooten, W. M. (2016). Chronic pain and mental health disorders: shared neural mechanisms, epidemiology, and treatment. Mayo Clin. Proc. 91, 955–970. doi: 10.1016/j.mayocp.2016.04.029
Hou, P. W., Hsu, H. C., Lin, Y. W., Tang, N. Y., Cheng, C. Y., and Hsieh, C. L. (2015). The history, mechanism, and clinical application of auricular therapy in traditional Chinese medicine. Evid. Based Complement. Alternat. Med. 2015:495684, 1–13. doi: 10.1155/2015/495684
Ilic, M., and Ilic, I. (2022). Worldwide suicide mortality trends (2000-2019): a joinpoint regression analysis. World J. Psych. 12, 1044–1060. doi: 10.5498/wjp.v12.i8.1044
Im, J. J., Shachter, R. D., Oliva, E. M., Henderson, P. T., Paik, M. C., and Trafton, J. A. (2015). Association of Care Practices with suicide attempts in US veterans prescribed opioid medications for chronic pain management. J. Gen. Intern. Med. 30, 979–991. doi: 10.1007/s11606-015-3220-y
Jeon, H. J., Woo, J. M., Kim, H. J., Fava, M., Mischoulon, D., Cho, S. J., et al. (2016). Gender differences in somatic symptoms and current suicidal risk in outpatients with major depressive disorder. Psychiatry Investig. 13, 609–615. doi: 10.4306/pi.2016.13.6.609
John, H., Lim, Y. H., Hong, S. J., Jeong, J. H., Choi, H. R., Park, S. K., et al. (2022). Impact of coronavirus disease 2019 on patients with chronic pain: multicenter study in Korea. Korean J Pain 35, 209–223. doi: 10.3344/kjp.2022.35.2.209
Kanzler, K. E., Bryan, C. J., Mcgeary, D. D., and Morrow, C. E. (2012). Suicidal ideation and perceived burdensomeness in patients with chronic pain. Pain Pract. 12, 602–609. doi: 10.1111/j.1533-2500.2012.00542.x
Kowal, J., Wilson, K. G., Henderson, P. R., and Mcwilliams, L. A. (2014). Change in suicidal ideation after interdisciplinary treatment of chronic pain. Clin. J. Pain 30, 463–471. doi: 10.1097/AJP.0000000000000003
Kwon, C. Y., and Lee, B. (2023). The effectiveness and safety of acupuncture on suicidal behavior: a systematic review. Healthcare (Basel) 11:955. doi: 10.3390/healthcare11070955
Lewcun, B., Kennedy, T. M., Tress, J., Miller, K. S., Sherker, J., and Sherry, D. D. (2018). Predicting suicidal ideation in adolescents with chronic amplified pain: the roles of depression and pain duration. Psychol. Serv. 15, 309–315. doi: 10.1037/ser0000210
Micol, V. J., Prouty, D., and Czyz, E. K. (2022). Enhancing motivation and self-efficacy for safety plan use: incorporating motivational interviewing strategies in a brief safety planning intervention for adolescents at risk for suicide. Psychotherapy (Chic.) 59, 174–180. doi: 10.1037/pst0000374
Murray, C. B., De La Vega, R., Murphy, L. K., Kashikar-Zuck, S., and Palermo, T. M. (2022). The prevalence of chronic pain in young adults: a systematic review and meta-analysis. Pain 163, e972–e984. doi: 10.1097/j.pain.0000000000002541
Naghavi, M. (2019). Global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the global burden of disease study 2016. BMJ 364:l94. doi: 10.1136/bmj.l94
Nestadt, P. S., and Bohnert, A. S. B. (2020). Clinical perspective on opioids in the context of suicide risk. Focus (Am. Psychiatr. Publ.) 18, 100–105. doi: 10.1176/appi.focus.20200003
Nyaga, V. N., Arbyn, M., and Aerts, M. (2014). Metaprop: a Stata command to perform meta-analysis of binomial data. Arch. Public Health 72:39. doi: 10.1186/2049-3258-72-39
Page, M. J., Mckenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71
Petrosky, E., Harpaz, R., Fowler, K. A., Bohm, M. K., Helmick, C. G., Yuan, K., et al. (2018). Chronic pain among suicide decedents, 2003 to 2014: findings from the National Violent Death Reporting System. Ann. Intern. Med. 169, 448–455. doi: 10.7326/M18-0830
Pieper, D., and Rombey, T. (2022). Where to prospectively register a systematic review. Syst. Rev. 11:8. doi: 10.1186/s13643-021-01877-1
Poole, H., Bramwell, R., and Murphy, P. (2009). The utility of the Beck depression inventory fast screen (BDI-FS) in a pain clinic population. Eur. J. Pain 13, 865–869. doi: 10.1016/j.ejpain.2008.09.017
Racine, M. (2018). Chronic pain and suicide risk: a comprehensive review. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 87, 269–280. doi: 10.1016/j.pnpbp.2017.08.020
Ratcliffe, G. E., Enns, M. W., Belik, S. L., and Sareen, J. (2008). Chronic pain conditions and suicidal ideation and suicide attempts: an epidemiologic perspective. Clin. J. Pain 24, 204–210. doi: 10.1097/AJP.0b013e31815ca2a3
Rojas, A. M., Worts, P. R., and Chandler Iii, G. S. (2021). Feasibility and clinical utility of assessing behavioral and psychological risk factors in pain management. Pain Physician 24, E1299–e1306.
Smith, M. T., Edwards, R. R., Robinson, R. C., and Dworkin, R. H. (2004). Suicidal ideation, plans, and attempts in chronic pain patients: factors associated with increased risk. Pain 111, 201–208. doi: 10.1016/j.pain.2004.06.016
Song, K., Brintz, B. J., Wang, C. P., Mcgeary, D. D., Mcgeary, C. A., Potter, J. S., et al. (2022). Complex pain phenotypes: suicidal ideation and attempt through latent multimorbidity. PLoS One 17:e0267844. doi: 10.1371/journal.pone.0267844
Stanley, B., Brown, G., Brent, D. A., Wells, K., Poling, K., Curry, J., et al. (2009). Cognitive-behavioral therapy for suicide prevention (CBT-SP): treatment model, feasibility, and acceptability. J. Am. Acad. Child Adolesc. Psychiatry 48, 1005–1013. doi: 10.1097/CHI.0b013e3181b5dbfe
Stene-Larsen, K., and Reneflot, A. (2019). Contact with primary and mental health care prior to suicide: a systematic review of the literature from 2000 to 2017. Scand. J. Public Health 47, 9–17. doi: 10.1177/1403494817746274
Tanaka, S. (2022). What changes occurred in patients with chronic pain in the early phase of the COVID-19 pandemic? J. Anesth. 36, 332–334. doi: 10.1007/s00540-022-03042-x
Treede, R. D., Rief, W., Barke, A., Aziz, Q., Bennett, M. I., Benoliel, R., et al. (2015). A classification of chronic pain for ICD-11. Pain 156, 1003–1007. doi: 10.1097/j.pain.0000000000000160
Vaegter, H. B., Støten, M., Silseth, S. L., Erlangsen, A., Handberg, G., Sondergaard, S., et al. (2019). Cause-specific mortality of patients with severe chronic pain referred to a multidisciplinary pain clinic: a cohort register-linkage study. Scand J Pain 19, 93–99. doi: 10.1515/sjpain-2018-0094
Van Tilburg, M. A., Spence, N. J., Whitehead, W. E., Bangdiwala, S., and Goldston, D. B. (2011). Chronic pain in adolescents is associated with suicidal thoughts and behaviors. J. Pain 12, 1032–1039. doi: 10.1016/j.jpain.2011.03.004
Vickers, A. J., Vertosick, E. A., Lewith, G., Macpherson, H., Foster, N. E., Sherman, K. J., et al. (2018). Acupuncture for chronic pain: update of an individual patient data Meta-analysis. J. Pain 19, 455–474. doi: 10.1016/j.jpain.2017.11.005
Von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., and Vandenbroucke, J. P. (2007). The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 370, 1453–1457. doi: 10.1016/S0140-6736(07)61602-X
Wang, Y.-F., Yu, C.-C., Kuan, A. S., Chen, S.-P., and Wang, S.-J. (2021). Association between suicidal risks and medication-overuse headache in chronic migraine: a cross-sectional study. J. Headache Pain 22, 1–8. doi: 10.1186/s10194-021-01248-0
Wilson, K. G., Heenan, A., Kowal, J., Henderson, P. R., Mcwilliams, L. A., and Castillo, D. (2017). Testing the interpersonal theory of suicide in chronic pain. Clin. J. Pain 33, 699–706. doi: 10.1097/AJP.0000000000000451
Wilson, K. G., Kowal, J., Henderson, P. R., Mcwilliams, L. A., and Péloquin, K. (2013). Chronic pain and the interpersonal theory of suicide. Rehabil. Psychol. 58, 111–115. doi: 10.1037/a0031390
Yan, Y., Hou, J., Li, Q., and Yu, N. X. (2023). Suicide before and during the COVID-19 pandemic: a systematic review with Meta-analysis. Int. J. Environ. Res. Public Health 20:3346. doi: 10.3390/ijerph20043346
Keywords: chronic pain, suicide, suicidal behavior, suicidal ideation, suicide attempt, meaning in life, demoralization
Citation: Kwon C-Y and Lee B (2023) Prevalence of suicidal behavior in patients with chronic pain: a systematic review and meta-analysis of observational studies. Front. Psychol. 14:1217299. doi: 10.3389/fpsyg.2023.1217299
Edited by:
Carolina Baeza-Velasco, Université Paris Cité, FranceReviewed by:
Alessandra Costanza, University of Geneva, SwitzerlandIsmael Conejero, Centre Hospitalier Universitaire de Nîmes, France
Copyright © 2023 Kwon and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Chan-Young Kwon, YmVhbmFsb2d1ZUBuYXZlci5jb20=