Pain as a risk factor for suicidal ideation. A population-based longitudinal cohort study

Longitudinal investigation of the presence of different trajectories and associated health and socio-economic determinants, for participants who report suicidal ideation within a community-based public health survey

OBJECTIVE

Given the paucity of evidence-based research investigating different suicidal ideation profiles and trajectories, this project sought to investigate health and socio-economic factors associated with the presence of suicidal ideation and changes in ideation over time.

DESIGN

Longitudinal cohort design, using logistic regression analysis.

SETTING

A public health survey was administered at two timepoints in a community setting across the North West of England. In the 2015/2016 survey, participants were recruited from high (n=20) and low (n=8) deprivation neighbourhoods. In the 2018 survey, only the 20 high-deprivation neighbourhoods were included.

PARTICIPANTS

4287 people were recruited in 2015/2016 and 3361 were recruited in 2018. The 2018 sample was subdivided into those who responded only in 2018 (n=2494: replication sample) and those who responded at both timepoints (n=867: longitudinal sample).

PRIMARY OUTCOME MEASURES

Suicide ideation was the dependent variable which was assessed using item 9 of the Patient Health Questionnaire instrument.

RESULTS

The prevalence of suicidal ideation was 11% (n=454/4319) at 2015/2016 and 16% (n=546/3361) at 2018.Replication study results highlighted: persistent debilitation from physical ill health and/or medication side effects; demographic factors (ie, middle-aged, single or never married); and personal coping strategies (ie, smoking) as risk factors for suicidal ideation. A static/improved financial position and high levels of empathy were protective factors.Longitudinal study results confirmed three suicidal ideation trajectories: 'onset', 'remission' and 'persistence'. Similar findings to the replication study were evidenced for the onset and persistence trajectories. Persistent suicidal ideation was synonymous with higher levels of practical support which may correspond to the higher levels of debilitation and functional disability reported within this group. Remission was characterised by fewer debilitating factors and higher levels of self-agency.

CONCLUSION

A greater appreciation of the heterogeneity of suicidal trajectories should lead to the implementation of broad clinical assessments and targeted interventions.

History of abuse is associated with thoughts of harm among patients with pain after accounting for depressive symptoms

INTRODUCTION

Screening for depressive symptoms is often the first step to understanding risk for thoughts of harm among patients with pain. Pain characteristics and history of abuse are also associated with thoughts of harm; however, little is known about these associations after accounting for depressive symptoms. This study examined the association between pain characteristics and history of abuse with thoughts of harm among pain patients with moderate to severe and low to mild depressive symptoms.

METHODS

We conducted a cross-sectional analysis of patients (n=7510) who presented to a tertiary-care, outpatient pain clinic.

RESULTS

Abuse history was significantly associated with increased odds of reporting thoughts of harm for both patients with moderate to severe depressive symptoms as well as low to mild depressive symptoms. Abuse did not modify the association between any of the pain characteristics and thoughts of harm.

DISCUSSION

Our results highlight the importance of abuse history in assessing thoughts of harm. Although we are unable to infer causality due to the cross-sectional design, this study highlights the importance of screening for abuse history when assessing for suicidal and homicidal ideation.

Chronic pain conditions and risk of suicidal behavior: a 10-year longitudinal co-twin control study

BACKGROUND

Understanding the relationship between chronic pain conditions and suicidal behavior-suicide attempt, other intentional self-harm, and death by suicide-is imperative for suicide prevention efforts. Although chronic pain conditions are associated with suicidal behaviors, these associations might be attributed to unmeasured confounding or mediated via pain comorbidity.

METHODS

We linked a population-based Swedish twin study (N=17,148 twins) with 10 years of longitudinal, nationwide records of suicidal behavior from health and mortality registers through 2016. To investigate whether pain comorbidity versus specific pain conditions were more important for later suicidal behavior, we modeled a general factor of pain and two independent specific pain factors (measuring pain-related somatic symptoms and neck-shoulder pain, respectively) based on 9 self-reported chronic pain conditions. To examine whether the pain-suicidal behavior associations were attributable to familial confounding, we applied a co-twin control model.

RESULTS

Individuals scoring one standard deviation above the mean on the general pain factor had a 51% higher risk of experiencing suicidal behavior (odds ratio (OR), 1.51; 95% confidence interval (CI), 1.34-1.72). The specific factor of somatic pain was also associated with increased risk for suicidal behavior (OR, 1.80; 95% CI, 1.45-2.22]). However, after adjustment for familial confounding, the associations were greatly attenuated and not statistically significant within monozygotic twin pairs (general pain factor OR, 0.89; 95% CI, 0.59-1.33; somatic pain factor OR, 1.02; 95% CI, 0.49-2.11) CONCLUSION: Clinicians might benefit from measuring not only specific types of pain, but also pain comorbidity; however, treating pain might not necessarily reduce future suicidal behavior, as the associations appeared attributable to familial confounding.

Temporomandibular Disorders as a Risk Factor for Suicidal Behavior: A Systematic Review

BACKGROUND

Temporomandibular disorders (TMD) are a group of common musculoskeletal dysfunctions that affect the temporomandibular joint or masticatory muscles and related structures or are expressed as a clinical combination of these two factors. The etiology of TMD is multifactorial and features related to anxiety, depression and mental disorders can contribute to the predisposition, onset and progression of TMD. The ability to adapt and develop coping attitudes was reduced in patients presenting with chronic pain, while suicidal behavior (suicidal ideation, suicide attempts, and suicide completion) was increased. The objective of this review was therefore to investigate suicidal behavior in relation to TMD.

METHODS

The review was performed according to the PRISMA 2020 guidelines. Six databases (PubMed, MEDLINE, EMBASE, Scopus, Ovid, and Google Scholar) were consulted through the use of keywords related to the review topic. The study is registered on PROSPERO (CRD42022320828).

RESULTS

The preliminary systematic search of the literature yielded 267 records. Excluding duplicates, 15 were considered potentially relevant and kept for title and abstract analysis. Only six articles were considered admissible reporting a single exposure factor, TMD and a single outcome, suicidal behavior, although these were evaluated through different assessment tools. We found a low association of TMD with suicidal behavior in observational studies, with estimates partly provided [prevalence ratio (PR) from 1.26 to 1.35, 95% confidence intervals (CI) from 1.15 to 1.19 (lower) and from 1.37 to 1.54 (higher); and odds ratios (OR) from 1.54 to 2.56, 95% CI from 1.014 to 1.157 (lower) and 2.051 to 6.484 (higher)], a relevant sample size (n = 44,645), but a few studies included (n = 6).

CONCLUSIONS

The results of the included studies showed that the prevalence data of suicidal behavior were more present in young adults with TMD, with a controversial association with gender. Suicidal behavior was also correlated and aggravated by the intensity of pain.

Usual presence and intensity of pain are differentially associated with suicidality across chronic pain conditions: A population-based study

OBJECTIVES

This study examined the prevalence of suicidality and associations with pain characteristics (i.e., presence of usual pain/discomfort, pain intensity) among those with chronic pain conditions (i.e., arthritis, migraine, back pain).

METHODS

We analyzed data from the 2012 Canadian Community Health Survey-Mental Health supplement (N = 25,113), including self-reported pain characteristics and suicidality. Weighted cross-tabulations described suicidality prevalence estimates according to pain characteristics among each chronic pain condition. Multiple logistic regressions evaluated associations between the presence of usual pain/discomfort and suicidality across pain conditions. Post-hoc analyses examined pain intensity in significant associations.

RESULTS

Across pain conditions, rates of suicidality were greater in those usually in pain and with more severe pain, compared to mild or moderate pain. After adjustment, usual pain/discomfort was associated with increased odds of suicide ideation (AOR = 1.79, 95% CI [1.19-2.68], p < .05) and attempts (AOR = 2.49, 95% CI [1.25-4.98], p < .05) among those with migraines, and plans (AOR = 1.55, 95% CI [1.04-2.31], p < .05) in those with back pain (reference = absence of usual pain). Usual pain/discomfort was not associated with suicidality in those with arthritis after adjusting for sociodemographics and psychiatric comorbidity. Post-hoc analyses showed that severe pain was associated with elevated odds of suicide ideation (AOR = 2.19, 95% CI [1.07-4.48], p < .05) in migraines and plans (AOR = 3.11, 95% CI [1.42-6.80], p < .01) in back pain (reference = mild pain).

CONCLUSION

Our findings may facilitate a more targeted approach to screening for suicidality among chronic pain populations.

Effectiveness of collaborative care in reducing suicidal ideation: An individual participant data meta-analysis

To assess whether CC is more effective at reducing suicidal ideation in people with depression compared with usual care, and whether study and patient factors moderate treatment effects.

METHOD

We searched Medline, Embase, PubMed, PsycINFO, CINAHL, CENTRAL from inception to March 2020 for Randomised Controlled Trials (RCTs) that compared the effectiveness of CC with usual care in depressed adults, and reported changes in suicidal ideation at 4 to 6 months post-randomisation. Mixed-effects models accounted for clustering of participants within trials and heterogeneity across trials. This study is registered with PROSPERO, CRD42020201747.

RESULTS

We extracted data from 28 RCTs (11,165 patients) of 83 eligible studies. We observed a small significant clinical improvement of CC on suicidal ideation, compared with usual care (SMD, -0.11 [95%CI, -0.15 to -0.08]; I², 0·47% [95%CI 0.04% to 4.90%]). CC interventions with a recognised psychological treatment were associated with small reductions in suicidal ideation (SMD, -0.15 [95%CI -0.19 to -0.11]). CC was more effective for reducing suicidal ideation among patients aged over 65 years (SMD, - 0.18 [95%CI -0.25 to -0.11]).

CONCLUSION

Primary care based CC with an embedded psychological intervention is the most effective CC framework for reducing suicidal ideation and older patients may benefit the most.

Suicide and suicidality in somatic symptom and related disorders: A systematic review

OBJECTIVE

We sought to determine the frequency of and risk factors for suicide outcomes in somatic symptom and related disorders and whether any risk was independent of co-occurring mental disorders.

METHODS

We conducted a systematic review of studies on suicide death, suicide attempts, and suicidal ideation in those with somatic symptom disorders published prior to September 22, 2020 and indexed in PubMED, MEDLINE, PsycARTICLES, PsycINFO, EMBASE, or SCOPUS according to PRISMA guidelines.

RESULTS

Our search yielded 33 articles with significant heterogeneity in study design, sample selection, and assessment for suicide or risk factors. While suicide deaths have not been adequately studied, somatic symptom and related disorders are associated with increased risk for suicidal ideation and suicide attempts, with estimates ranging from 24 to 34% of participants who endorsed current active suicidal ideation and 13-67% of participants who endorsed a prior suicide attempt. The risk appeared independent of co-occurring mental disorders. Identified risk factors for suicide attempts in samples with somatic symptom and related disorders include scores on measures of anger, alexithymia, alcohol use, past hospitalizations, dissociation, and emotional abuse.

CONCLUSION

Although the literature is sparse, there exists evidence for an association, even independent of other mental disorders, between somatic symptom and related disorders and suicide outcomes. Practice guidelines for the management of these disorders should incorporate recommendations for the assessment and management of suicide risk. Future study is necessary to more fully elucidate potential unique risk factors for those suffering from these complex disorders.

Prediction of Suicidal Ideation among Korean Adults Using Machine Learning: A Cross-Sectional Study

OBJECTIVE

Suicidal ideation (SI) precedes actual suicidal event. Thus, it is important for the prevention of suicide to screen the individuals with SI. This study aimed to identify the factors associated with SI and to build prediction models in Korean adults using machine learning methods.

METHODS

The 2010-2013 dataset of the Korea National Health and Nutritional Examination Survey was used as the training dataset (n=16,437), and the subset collected in 2015 was used as the testing dataset (n=3,788). Various machine learning algorithms were applied and compared to the conventional logistic regression (LR)-based model.

RESULTS

Common risk factors for SI included stress awareness, experience of continuous depressive mood, EQ-5D score, depressive disorder, household income, educational status, alcohol abuse, and unmet medical service needs. The prediction performances of the machine learning models, as measured by the area under receiver-operating curve, ranged from 0.794 to 0.877, some of which were better than that of the conventional LR model (0.867). The Bayesian network, LogitBoost with LR, and ANN models outperformed the conventional LR model.

CONCLUSION

A machine learning-based approach could provide better SI prediction performance compared to a conventional LR-based model. These may help primary care physicians to identify patients at risk of SI and will facilitate the early prevention of suicide.

Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation

OBJECTIVE

To examine the associations between stopping treatment with opioids, length of treatment, and death from overdose or suicide in the Veterans Health Administration.

DESIGN

Observational evaluation.

SETTING

Veterans Health Administration.

PARTICIPANTS

1 394 102 patients in the Veterans Health Administration with an outpatient prescription for an opioid analgesic from fiscal year 2013 to the end of fiscal year 2014 (1 October 2012 to 30 September 2014).

MAIN OUTCOME MEASURES

A multivariable Cox non-proportional hazards regression model examined death from overdose or suicide, with the interaction of time varying opioid cessation by length of treatment (≤30, 31-90, 91-400, and >400 days) as the main covariates. Stopping treatment with opioids was measured as the time when a patient was estimated to have no prescription for opioids, up to the end of the next fiscal year (2014) or the patient's death.

RESULTS

2887 deaths from overdose or suicide were found. The incidence of stopping opioid treatment was 57.4% (n=799 668) overall, and based on length of opioid treatment was 32.0% (≤30 days), 8.7% (31-90 days), 22.7% (91-400 days), and 36.6% (>400 days). The interaction between stopping treatment with opioids and length of treatment was significant (P<0.001); stopping treatment was associated with an increased risk of death from overdose or suicide regardless of the length of treatment, with the risk increasing the longer patients were treated. Hazard ratios for patients who stopped opioid treatment (with reference values for all other covariates) were 1.67 (≤30 days), 2.80 (31-90 days), 3.95 (91-400 days), and 6.77 (>400 days). Descriptive life table data suggested that death rates for overdose or suicide increased immediately after starting or stopping treatment with opioids, with the incidence decreasing over about three to 12 months.

CONCLUSIONS

Patients were at greater risk of death from overdose or suicide after stopping opioid treatment, with an increase in the risk the longer patients had been treated before stopping. Descriptive data suggested that starting treatment with opioids was also a risk period. Strategies to mitigate the risk in these periods are not currently a focus of guidelines for long term use of opioids. The associations observed cannot be assumed to be causal; the context in which opioid prescriptions were started and stopped might contribute to risk and was not investigated. Safer prescribing of opioids should take a broader view on patient safety and mitigate the risk from the patient's perspective. Factors to address are those that place patients at risk for overdose or suicide after beginning and stopping opioid treatment, especially in the first three months.