A systematic review of the psychosocial factors associated with pain in children with juvenile idiopathic arthritis
verfasst von:
Yvonne N. Brandelli, Christine T. Chambers, Sean P. Mackinnon, Jennifer A. Parker, Adam M. Huber, Jennifer N. Stinson, Emily M. Wildeboer, Jennifer P. Wilson, Olivia Piccolo
Pain is one of the most frequently reported experiences amongst children with Juvenile Idiopathic Arthritis (JIA); however, the management of JIA pain remains challenging. As pain is a multidimensional experience that is influenced by biological, psychological, and social factors, the key to effective pain management lies in understanding these complex relationships. The objective of this study is to systematically review the literature on psychosocial factors of children with JIA and their caregivers 1) associated with and 2) predictive of later JIA pain intensity, frequency, and sensitivity in children 0–17 years of age.
Methods
The Joanna Briggs Institute methodology for etiology and risk and Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement guided the conduct and reporting of this review. Terms related to pain and JIA were searched in English without date restrictions across various databases (PubMed, CINAHL, PsycINFO, Embase, Scopus, and the Cochrane Central Register of Controlled Trials) in September 2021. Two independent reviewers identified, extracted data from, and critically appraised the included studies. Conflicts were resolved via consensus.
Results
Of the 9,929 unique studies identified, 61 were included in this review and reported on 516 associations. Results were heterogeneous, likely due to methodological differences and moderate study quality. Results identified predominantly significant associations between pain and primary and secondary appraisals (e.g., more child pain beliefs, lower parent/child self-efficacy, lower child social functioning), parent/child internalizing symptoms, and lower child well-being and health-related quality of life. Prognostically, studies had 1-to-60-month follow-up periods. Fewer beliefs of harm, disability, and no control were associated with lower pain at follow-up, whereas internalizing symptoms and lower well-being were predictive of higher pain at follow-up (bidirectional relationships were also identified).
Conclusions
Despite the heterogeneous results, this review highlights important associations between psychosocial factors and JIA pain. Clinically, this information supports an interdisciplinary approach to pain management, informs the role of psychosocial supports, and provides information to better optimize JIA pain assessments and interventions. It also identifies a need for high quality studies with larger samples and more complex and longitudinal analyses to understand factors that impact the pain experience in children with JIA.
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Abkürzungen
CINAHL
Cumulative Index to Nursing and Allied Health Literature
HCP
Healthcare providers
JBI
Joanna Briggs Institute
JIA
Juvenile Idiopathic Arthritis
PRISMA
Preferred Reporting Items for Systematic Reviews and Meta-analysis
PROSPERO
International Prospective Register of Systematic Reviews
Pain is a common experience reported by children with Juvenile Idiopathic Arthritis (JIA) [1]. The pain is variable in intensity [2, 3], enduring [4, 5], only mildly associated with disease activity [6, 7], and associated with a host of negative outcomes (e.g., reduced participation, quality of life, and mental health challenges; e.g., [8‐10]). In a recent qualitative study, healthcare providers (HCP) identified a lack of training and confidence in managing JIA pain, which led some to actively avoid talking about pain [11]. Evidently, there are important unmet needs pertaining to the understanding, assessment, and management of pain in JIA [12].
Pain is defined as “an unpleasant sensory and emotional experience associated with, or resembling that associated with, actual or potential tissue damage […] that is a personal experience that is influenced to varying degrees by biological, psychological, and social factors” [13]. In other words, pain is developed and maintained by biological (e.g., genetics, disease activity, medications), psychological (e.g., emotions, cognitions), and social/environmental (e.g., parents, peers) factors. Thus, while biological factors such as a diagnosis of JIA can increase one’s susceptibility and sensitivity to noxious stimuli, psychological and social (i.e., psychosocial) factors can also influence how pain is perceived. This is particularly important in the context of pediatric pain, wherein parent and family factors can interact with a child’s development to affect their pain experience [14]. In considering the transactional model of stress and coping [15], while the presence of JIA pain may present as a potential stressor, primary appraisals (e.g., whether it is perceived as dangerous), secondary appraisals (e.g., whether an individual has sufficient internal and external resources to manage it), how one copes, and its subsequent outcomes (e.g., well-being, mental health) can all influence the pain experience. Understanding the components that develop and maintain one’s pain are crucial to advancing the knowledge and management of JIA pain.
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The relationships between biological, psychological, and social factors and JIA pain have been explored to varying degrees over the past four decades. Biological and disease-related factors have been explored extensively. Worse pain has been associated with enthesitis-subtype [16], greater active joint count [16], greater functional impairment [4], and greater sleep disturbance [17], whereas engagement in physical activity has been shown to be associated with decreased pain [18‐21]. Age and sex have more inconsistent results [22], although recent research has suggested that females are at slightly greater risk of worse pain [23]. Psychosocial factors have been explored to a lesser degree. While the child’s mood/mental health [8], quality of life/well-being (e.g., [24]), cognitions and coping strategies (e.g., [25]), family functioning (e.g., [26]), and psychological therapies [27, 28] have also been explored in relation to JIA pain, results across these variables are not always consistent and have been measured in different ways.
The sensation of pain, for example, can be measured in terms of its intensity, frequency, or sensitivity in response to a noxious stimuli (i.e., hyperalgesia). Even these measures can be assessed in different ways (e.g., paper or electronic diaries, current or retrospective reports, self- or proxy-reports [29]), all of which can affect the interpretation and comparability of results. As such, a formalized review is needed to make sense of discrepancies across studies and accurately interpret findings in the context of methodological differences. Moreover, the synthesis of details such as study sample size, age, diagnosis, measures, and research design (e.g., whether factors are correlated or predictive) allows readers to fully ascertain the landscape of information.
Given the greater emphasis and consistency in the literature about what biological and disease-related factors are most relevant to consider, the emphasis of this review is on psychosocial factors. The objective of this study is to synthesize the literature on factors associated with JIA-related pain to determine what psychosocial factors in both individuals with JIA and others in their environment (e.g., caregivers) are 1) associated with and 2) predictive of (i.e., prognostic factors) JIA pain (intensity, frequency, sensitivity).
Methods
This systematic review followed the Joanna Briggs Institute (JBI) methodology for etiology and risk [30] and The Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) [31]. This study was pre-registered with the international prospective register of systematic reviews (PROSPERO CRD42021266716).
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Eligibility criteria
Population
This review included studies about children (0–17 years of age) with a diagnosis of JIA. The cut-off age was 17 years as many youth transition from pediatric to adult health systems around that age [32]. Studies reporting on children with comorbidities or rheumatic diseases other than JIA [33] were excluded to avoid potential confounds. Studies including broader age ranges (e.g., 0–18 years of age) or diagnoses (e.g., juvenile rheumatic diseases) were retained only if data were reported separately for children ages 0–17 years with JIA. Self- and proxy-reported data were included.
Exposure and outcome
Studies were included if they explored psychosocial factors associated with pain. This review used the most frequently assessed sensory components of JIA pain as the outcome: pain intensity, frequency, and sensitivity. Psychosocial factors were defined as factors within oneself (e.g., beliefs, coping, mood/affect) and the environment (e.g., parent/family factors, school and social functioning) that were associated with pain [34]. Psychosocial factors were included with Aim 1 if they were associated with pain at any point in time (i.e., correlated with or predicted by pain) and in Aim 2 if they predicted later pain (i.e., temporal precedence was established).
Types of studies
All quantitative studies published in the English language were included. No date restrictions were applied; however, dates were considered in the synthesis of results given an important shift in the treatment of JIA in the 2000s with the advent of biological agents. Observational designs were considered associations, whereas cohort designs were considered prognostic depending on the analyses. Qualitative studies, studies not reporting original data (e.g., reviews), and the grey literature were excluded.
Search strategy
The search strategy aimed to identify all published studies pertaining to this review. Following the JBI methodology, a three-step search strategy was applied with the support of an evidence synthesis librarian (LB). First, a limited search was conducted of PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Medline at OVID with keywords related to JIA, pain [35], and pediatrics [36], to ensure the search strategy encompassed pertinent terms. Second, the comprehensive search, inclusive of any keywords and index terms identified in the limited search, was completed on September 21st, 2021 (Additional file 1). The databases searched included Medline at OVID, CINAHL, PsycINFO, the Cochrane Central Register of Controlled Trials, Embase, and Scopus. Third, the reference list (backwards) and citing articles (forwards) of the included articles were searched for any additional studies. The search was updated on June 7th, 2022 to identify any recently published articles.
Study selection
References were uploaded to Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia). Duplicates were removed automatically and manually. Titles and abstracts were double screened for eligibility by two independent reviewers (always YNB, either EMW or OP). Relevant full texts were located, uploaded, and double screened for eligibility by the same reviewers. Inter-rater agreement was established using a weighted Cohen’s Kappa (poor: κ < 0.00; slight: κ = 0.00 – 0.20, fair: κ = 0.21 – 0.40, moderate: κ = 0.41 – 0.60, substantial: κ = 0.61 – 0.80, and almost perfect: κ = 0.81 – 1.00) [37]. Discrepancies were resolved via consensus (YNB, EMW, and OP).
Methodological quality assessment
The methodological quality of the included studies was critically appraised by two independent reviewers (always YNB, either EMW or OP) using the JBI critical appraisal instruments [30]. These standardized instruments assess the presence of various methodological limitations (e.g., participant selection, measurement bias, confounds) in a “yes”, “no”, or “unclear” format. Different instruments were used based on the study design and way in which the data relevant to this review were collected (i.e., separate instruments were used for analytical cross-sectional studies, cohort studies). No attempts were made to contact authors for additional information. Discrepancies were resolved via consensus (YNB, EMW, and OP).
Data extraction
A data extraction template was developed and pilot tested for this review. The template included information regarding the study, population, measures, and results (Additional file 2). Two independent reviewers (always YNB, either EMW or OP) extracted data from the included articles and discrepancies were resolved through consensus (YNB, EMW, and OP).
Data synthesis
Given the heterogeneity of associations explored, data were synthesized narratively and in tabular form. Studies were grouped together based on the psychosocial factors. Similarities (e.g., significance of associations) and differences (e.g., reporter) across studies were explored.
Results
Study inclusion
The systematic search returned 9,929 unique studies, 61 of which were included in this review [2‐4, 25, 26, 38‐91]. The PRISMA chart (Fig. 1) relays the search results and inclusion process [31]. Between rater reliability was moderate to substantial at the Title/Abstract screening stage (κ = 0.58 & 0.61) and substantial at the Full Text screening stage (κ = 0.61 & 0.73).
Fig. 1
PRISMA chart detailing the search results and inclusion process
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Description of studies
The 61 included studies came from 59 articles and 49 unique datasets. Studies reporting on the same datasets were included only if new associations were identified (i.e., identical associations in multiple publications on the same dataset were removed). Publication dates ranged from 1987 to 2021. Most of the articles included were peer-reviewed publications, however two conference abstracts [66, 75] and six theses were also included [42, 46, 55, 57, 76, 84]. The six theses were selected over published manuscripts as additional associations were identified. Articles came from 17 countries, with the United States, Canada, the United Kingdom, and Denmark being the most represented. Most recruitment took place in clinics apart from two studies wherein it was unclear [59, 75]. Participants were predominantly children with JIA; however, 34 studies included parent/caregiver reports and two studies included HCP reports. Sample sizes ranged from 11 to 1906 participants (Mdn = 85; IQR = 99). Participants were largely female children (Mdn = 67%, IQR = 11%) and caregivers (Mdn = 83%, IQR = 17%), although some studies were missing these data. Other demographic information could not be aggregated given the variability of information reported on (e.g., medians or means, varying categories, missing information); however, most studies reported on children in the adolescent period (with only 7 studies including children younger than 5), with polyarticular and oligoarticular JIA as the most represented diagnoses.
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Of the 516 unique associations, 234 were significant as per the α level used in each study. Fifty-one were classified as prognostic factors. Validated measures were generally used to measure pain intensity [65, 92‐101]; although, 109 associations provided no or unclear references. Pain frequency [96, 97, 100, 102] and sensitivity [103, 104] were largely assessed using standardized measures and protocols. Pain was measured via self-report in 46 studies, proxy-report in 15 studies, and an unclear reporter in seven studies. Psychosocial factors were organized based on the transactional model of stress and coping [15] and included both child and parent factors. Validated measures were used to assess children’s primary appraisals (i.e., interpretations of whether JIA pain is positive, irrelevant, or threatening/harmful) [95, 99, 105]; children’s internal [44, 94, 106‐109] and external [61, 63, 77, 78, 90, 93, 98, 106‐108, 110‐117] and parent’s internal [43, 108] secondary appraisals (i.e., assessment of resources available to manage JIA pain); children’s coping [82, 118‐120]; and outcomes including children’s [94, 95, 99, 106‐108, 110‐112, 114, 121‐136] and parent’s [108, 137‐142] mental health, and children’s health-related quality of life (HRQOL; i.e., the impact of one’s health on their life [143]) and well-being (i.e., one’s sense of how well their needs are being met [144]) [98, 108, 110, 111, 143, 145‐147]. Twenty associations exploring well-being provided no citation. Table 1 outlines the exact measures and their frequency of use. Six quasi-experimental studies explored pain in relation to psychosocial interventions [61, 63, 77, 78, 90]. The manipulation set them aside from other studies included in this review, thus the results have been included in Additional files 3.1–3.3 and the figures.
Table 1
Measures used in the 61 included studies (N = 516 associations)
b Some studies used a preliminary version of this scale
Methodological quality
The included studies were critically appraised using JBI tools [149, 150] based on the associations used in the review rather than the stated study design (e.g., daily diary studies were categorized as cross-sectional or cohort depending on how the data were analyzed, studies with pain predicting psychosocial factors were considered cross-sectional designs). For the two theses that contained two studies each, separate appraisals were conducted. Fifty-one studies were cross-sectional and five were cohort. No studies were excluded based on the critical appraisal.
The median critical appraisal score was 75% (IQR = 20%). For the 51 cross-sectional studies, scores ranged from 38 to 100%, with the identification and management of confounds as the greatest weakness (Table 2). For the five cohort studies, scores ranged from 40 to 89%, with the validity of the outcome measurement (i.e., pain) as the lowest rated item (Table 3).
Table 2
Critical appraisal results for analytical cross sectional studies
JBI critical appraisal for quasi-experimental studies: Q1 = Were the criteria for inclusion in the sample clearly defined? Q2 = Were the study subjects and the setting described in detail? Q3 = Was the exposure measured in a valid and reliable way? Q4 = Were objective, standard criteria used for measurement of the condition? Q5 = Were confounding factors identified? Q6 = Were strategies to deal with confounding factors stated? Q7 = Were the outcomes measured in a valid and reliable way? Q8 = Was appropriate statistical analysis used?
Y Yes, N No, U Unclear
‡, ‡‡, †, ††, §, §§ Studies with overlapping datasets
JBI critical appraisal for cohort studies: Q1 = Were the two groups similar and recruited from the same population? Q2 = Were the exposures measured similarly to assign people to both exposed and unexposed groups? Q3 = Was the exposure measured in a valid and reliable way? Q4 = Were confounding factors identified? Q5 = Were strategies to deal with confounding factors stated? Q6 = Were the groups/participants free of the outcome at the start of the study (or at the moment of exposure)? Q7 = Were the outcomes measured in a valid and reliable way? Q8 = Was the follow up time reported and sufficient to be long enough for outcomes to occur? Q9 = Was follow up complete, and if not, were the reasons to loss to follow up described and explored? Q10 = Were strategies to address incomplete follow up utilized? Q11 = Was appropriate statistical analysis used?
Findings of the review have been grouped based on the study aims, categories as they map to the transactional model of stress and coping [15], and child/parent factors. See Table 4 for study details and Fig. 2/Additional file 4 for a summary.
• P Hassles & Uplifts Intensity & Frequency (P) – Hassles and Uplifts Scale
• Corr – Parent depression symptoms, child vulnerability, parent identified daily hassles (intensity and frequency), and parent identified daily uplifts (intensity) were not significantly associated with PI
• Corr & HR controlling for age, gender, active joint count, and disease severity – More parent reported daily uplifts were significantly associated with greater PI
• Corr & LoR controlling for age, disease activity, medications, disability, and fatigue – Lower school attendance was significantly associated with greater PI
• Assertion, Cooperation, Empathy, Self-Control, & Social Skills (C) – SSRS
• Corr, MR & one-way ANOVA – Behavioral conduct, physical appearance, scholastic competence, social acceptance, self-esteem, assertion, cooperation, empathy, self-control, and social skills were not significantly associated with PI, nor did they significantly differ between high and low pain groups
• Hierarchical MLM controlling for age, disease severity, and between and within child sleep quality – Higher daily reported mood (within subjects), but not mean mood (between subjects), was significantly associated with lower PI that day
Greater variability in positive and negative emotions were significantly associated with and predictive of greater PI
A child’s ability to adaptively attenuate negative emotions was associated with, but not predictive of, lower PI
A child’s ability to adaptively upregulate positive emotions to average levels following a drop was not significantly associated with but was predictive of lower PI
Parent-reported and self-reported emotion regulation at baseline was not significantly associated with or predictive of PI
Catastrophizing and mental health were not significantly associated with PS as measured by the child’s cold detection, cold pain, warm detection, heat pain, mechanical detection, mechanical pain, vibration detection, or pressure pain thresholds
Greater trait anxiety symptoms were significantly associated with greater PS as measured by the child’s lower mechanical detection and mechanical pain thresholds, but not by their cold detection, cold pain, warm detection, heat pain, vibration detection, or pressure pain thresholds
• Hopelessness (C) – Hopelessness Scale for Children
• Sadness (C) – DES-IV
• Corr and HR controlling for age, gender, socioeconomic status, disease duration, and articular severity – Social support, hopelessness, and sadness were not significantly associated with PI
• PI (C) – VAS (baseline, 6, and 12 mos) mean and high (7.4)/low (0.4)
• Depression symptoms (C) – MFQ at baseline, 6, and 12 mos average and low (2 points)/high (31 points)
• LMM controlling for active/limited joint count and disability – More depression symptoms at baseline significantly predicted greater PI over time, and greater PI at baseline predicted more depression symptoms over time
• Mann Whitney U-Test – More depression symptoms at baseline significantly predicted greater PI over 12 mos, and higher PI at baseline significantly predicted greater depression symptoms over 12 mos
Child reported depression symptoms were significantly associated with greater parent reported PI for the whole sample, and 12–17-year-olds, but not 6–11-year-olds
Parent reported depression symptoms, punishing, distracting, and solicitous pain responses were not significantly associated with child or parent reported PI in the whole sample, 6–11-year-olds, or 12–17-year-olds
• PI (P) – VAS CHAQ (9 timepoints: baseline, 1 mos, 2 mos, 3 mos, 4 mos, 5 mos, 6 mos, 9 mos, and 12 mos)
• HRQOL Total, Emotional Functioning, School Functioning, & Social Functioning (--) – PedsQL (9 timepoints)
• Univariate and Multivariate Reg controlling for disease activity, joints, stiffness, disability, & comorbidities – Lower well-being at baseline was significantly associated with greater PI at baseline
• Latent Growth Curve Mixture Modelling – A rapid increase in well-being across the first 4 timepoints was significantly associated with lower PI at baseline
• Linear Reg –
Lower PI across timepoints significantly predicted better total well-being across time
Lower PI across timepoints 1–7, but not 8 and 9 significantly predicted better emotional functioning across time
Lower PI across timepoints 1–8, but not 9, significantly predicted better school and social functioning across time
• HRQOL Behavior, Global Behavior, Self-Esteem, Family Cohesion, Family Activities, Mental Health, Time Impact, Emotional Impact, Emotional Role Limitations, Physical Role Limitations, & Psychosocial (P) – CHQ
• Well-being (P, HCP, & C) – Global Assessment VAS
• Corr –
Behavior, global behavior, self-esteem, family cohesion, mental health, and psychosocial summary scores were not significantly associated with parent or child reported PI
Reduced engagement in family activities and greater impact on parents’ time and emotions were significantly associated with parent (but not child) reported PI
More emotional and physical role limitations in parents, and lower parent, child, and healthcare provider global assessments of well-being were significantly associated with greater parent and child reported PI
Behavioral distraction, cognitive distraction, the use of positive self-statements, and beliefs of control did not significantly differ between the pain and pain-free groups
Greater catastrophizing, beliefs of harm, and beliefs of disability were significantly higher amongst the pain group compared to the pain-free group
• Well-being (--) – Global Assessment VAS assessed at baseline and 6 mos later
• HRQOL (--) – JAQQ assessed at baseline and 6 mos later
• Corr – Lower well-being (VAS & JAQQ) at baseline was significantly associated with greater PI at baseline
• Univariate & Multivariate Reg controlling for number of joints affected, baseline JAQQ, and time since diagnosis – Greater PI at baseline predicted lower well-being (JAQQ) at 6 mos
• PI (C) – VAS (past week at diagnosis, 3–9 mos post, and during flares)
• HRQOL (C) – JAQQ psychosocial assessed at diagnosis, 3–9 mos post, and during flares
• HRQOL (C) – QoML assessed at diagnosis, 3–9 mos post, and during flares
• Corr in SEM –
Greater PI at diagnosis and 3–9 mos post diagnosis were significantly associated with lower well-being (JAQQ & QoML) at diagnosis and 3–9 mos post diagnosis, respectively
Greater PI during flares was significantly associated with lower well-being (QoML but not JAQQ) during flares
• PI (--) – VAS PPQ (baseline, 6 mos, and annually up to 60 months) average and 3 pain trajectories: consistently low/ improved/consistently high
• Well-being (P) – Global Assessment VAS assessed at baseline, 6 mos, and annually
• Depression symptoms (--) MFQ assessed at baseline, 6 mos, and annually
• Corr –
Lower well-being and greater depression symptoms at baseline were significantly associated with greater PI at baseline and less change in PI over time
Greater PI at baseline was significantly associated with less change in well-being within 6 mos
Change in PI within 12 mos was not significantly associated with change in well-being over 12 mos
• Multinomial LoR –
Well-being was significantly lower in the consistently high and improved pain groups compared to the consistently low pain group, and well-being significantly increased over 6 mos in the improved pain group compared to the consistently low pain group. No other differences emerged
Depression symptoms did not significantly differ across groups
Greater pain unpleasantness (E-Ouch and RPI) was significantly associated with greater PI (E-Ouch and RPI) across both weeks
Greater pain interference (E-Ouch and RPI total, mood, relationships, schoolwork, sleep) was significantly associated with greater PI (E-Ouch and RPI)
Approach coping and distraction coping were not significantly associated with PI (E-Ouch) on either week
Greater emotion focused avoidance coping was significantly associated with greater PI (E-Ouch) on week 2 but not week 1
Lower total well-being, lower psychosocial well-being, lower total arthritis well-being, and more worry were significantly associated with greater PI (E-Ouch)
Communication was not significantly associated with PI (E-Ouch)
• PI (C) – VAS PPQ (current, average, worst) high (modest disease activity and pain)/low (disease activity but few pain complaints)
• PS (C) – Tolerance/ time hand submerged
• Coping via Behavioral Distraction, Cognitive Distraction, Information Seeking, Seeking Social Support, Externalizing, Catastrophizing, & Positive Self-Statements (C) – PCQ
• Corr and T-test –
Greater behavioral distraction was significantly associated with lower PI (average, current, worst) but not experimental PI or PS. Behavioral distraction was significantly higher in the high pain group
Cognitive distraction, information seeking, and seeking social support were not significantly associated with PI nor did it differ between high and low pain groups
Greater externalizing was significantly associated with lower PS (i.e., higher tolerance); however, was not significantly associated with average, current, or worst PI (current and experimental) and did not differ between high and low pain groups
Greater catastrophizing was significantly associated with greater experimental PI; however, was not significantly associated with average, current, or worst PI and did not differ between high and low pain groups
Fewer positive self-statements were significantly associated with greater PI (average, current, worst); however, were not significantly associated with experimental PI and PS, and did not differ between high and low pain groups
• PI (C) – FPS (2x/day for 3 weeks) Mean and high (pain ≥ 1.61 & disease activity < 3)/low (remaining sample)
• Coping via Behavioral Distraction, Positive Self-Statements, Seeking Social Support, Cognitive Distraction, Catastrophizing, Externalizing, & Total (C) – PCQ
• Pain Beliefs of Control, Harm, Disability, Solicitude, Medical Cure, Emotion, Total, Cognitive (disability + control + medical cure + harm), & Emotional (medical cure + emotion + solicitude) (C) – SOPA
• Corr and T-Test –
Behavioral distraction and seeking social support were not significantly associated with PI, and they did not differ between high and low pain groups
Positive self-statements were not significantly correlated with PI; however, were significantly higher in the low pain group
• Corr, HR controlling for age, sex, disease duration, disease severity, disability, and pain beliefs, and T-Test –
Cognitive distraction and externalizing were not significantly associated with PI and they did not differ between high and low pain groups
Greater catastrophizing was significantly associated with greater PI (Corr, not Hierarchical Reg), and was significantly higher in the high pain groups
• Corr and T-Test –
Lower control beliefs were significantly associated with greater PI and were significantly lower in the high pain group
Greater harm and disability beliefs were significantly associated with greater PI and were significantly higher in the high pain group
Emotion beliefs were not significantly associated with PI nor did they differ between high and low pain groups
Lower medical cure beliefs and higher solicitude beliefs were significantly associated with greater PI; however, did not differ between the high and low pain groups
• HR controlling for age, sex, disease duration, disease severity, disability and pain coping – Worse pain beliefs (including cognitive beliefs but not emotional beliefs) were significantly associated with greater PI
• PI (C) – FPS (2x/day for 3 weeks at baseline and 24 mos) Average and high (pain ≥ 1.61 & disease activity < 3)/low (remainder)
• Pain Beliefs of Control, Medical Cure, Harm, Disability, & Cognitive (disability + control + medical cure + harm) (C) – SOPA
• Corr –
Lower control beliefs at baseline and 24 mos were significantly associated with greater PI 24 mos later
Medical cure beliefs at baseline and 24 months were not significantly associated with PI at 24 mos
• Corr and T-test – Greater harm and disability beliefs at baseline and 24 mos were significantly associated with greater PI 24 mos later, and significantly higher in the high pain group at 24 mos
• HR controlling for disability, disease activity (and with/without baseline PI) – Greater cognitive beliefs at baseline significantly predicted PI at 24 mos
• Welch’s V – Children with 0, 1, 2, or 3 elevated behavior or social competence subscales did not significantly differ in current and worst PI
• Corr and Welch’s V –
Overall Adjustment, externalizing, internalizing, social competence, family relationships, conflict, active-recreational orientation, control, moral-religious emphasis, and organization were not significantly associated with PI, nor did they significantly differ between high and low pain groups
Lower family achievement orientation was significantly associated with greater current, but not worst, PI, and it did not significantly differ between high and low pain groups
Lower family cohesion and expressiveness were significantly associated with greater worst, but not current, PI, and they did not significantly differ between high and low pain groups
Lower family independence and intellectual-cultural orientation were significantly associated with greater current, but not worst, PI, and they did not significantly differ between high and low pain groups
Anxiety symptoms, depression symptoms, and stress were not significantly associated with PI, nor did they significantly differ between high and low pain groups
Lower cognitive function was significantly associated with greater PI, although it did not significantly differ between high and low pain groups
• Children were categorized into: 1) teenagers high in trait anxiety and depression; 2) children high in trait anxiety and low in depression; 3) children low in trait anxiety and depression; and 4) teenagers low in trait anxiety and depression
• Discriminant Analyses – Cluster 1 (teenagers high in anxiety and depression symptoms) experienced significantly greater PF compared to the other clusters
• Children were categorized into: 1) teenagers high in trait anxiety and depression; 2) children high in trait anxiety and low in depression; 3) children low in trait anxiety and depression; and 4) teenagers low in trait anxiety and depression
• Discriminant Analyses – Cluster 1 (teenagers high in anxiety and depression) experienced significantly greater PI compared to the other clusters
• Psychological, Somatic, & Social Self-Efficacy (C) – CASE
• P Depressive Symptoms (P) – BDI and HADS
• P Anxiety Symptoms (P) – HADS
• P Psychological, Social, & Somatic Self-Efficacy (C) – PASE
• P Parent Influence on Child Mood, Parent Perception of Child’s Coping, & Parent Perception of Child’s Well-being (P) – Author created
• Corr and MR –
Greater child depression and anxiety symptoms, lower child social self-efficacy, lower parent social self-efficacy, lower parent somatic self-efficacy, lower parent perception of the child’s well-being, and lower parent perception of the child’s coping were significantly associated with greater PF
Greater parent depression symptoms (not MR with HADS) were significantly associated with greater PF
Child psychological self-efficacy, child somatic self-efficacy, parent anxiety symptoms, parent psychological self-efficacy, and parent influence on child’s mood were not significantly associated with PF
• PI (C) – NRS PROMIS (past week; multiple visits)
• Depression symptoms (C) – PROMIS assessed across multiple visits
• LMM – Increasing PI was significantly associated with an increase in depression symptoms
Underlined text represents significant results. See Table 1 for master list of questionnaires and abbreviations
ANOVA Analysis of Variance, ANCOVA Analysis of Covariance, C Child, Corr Correlation, E Enthesitis-Related Arthritis, GEE Generalized Estimating Equations, HCP Healthcare providers, HR Hierarchical Regression, LiR Linear Regression, LMM Linear Mixed Models, LoR Logistic Regression, MLM Multilevel Models, MR Multiple Regression, O Oligoarticular Arthritis, P Parents/Caregivers, Po Polyarticular Arthritis, Ps Psoriatic Arthritis, PF Pain frequency, PI Pain intensity, PS Pain sensitivity/lower tolerance, Reg Regression, S Systemic Arthritis, SEM Structural Equation Models, U Undifferentiated/Other Arthritis
‡, ‡‡, †, ††, §, §§ Studies with overlapping datasets
* Data provided but not specific to sample used in this review
-- Not reported
Fig. 2
Psychosocial factors identified and their association with pain intensity, frequency, and sensitivity in youth with JIA
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Aim 1: Psychosocial correlates
Primary appraisals
Child correlates
There were 5 studies reporting on 28 associations between primary appraisals and pain in children with JIA. Pain unpleasantness was positively associated with pain intensity in 5/5 associations (herein referred to as 5/5) [76]. Pain beliefs were significantly associated with pain intensity (14/20) [25, 83] and pain frequency (2/3) [64]. Specifically, beliefs that pain causes harm and disability were positively associated with pain (5/5 each). Beliefs that one lacks control over their pain were positively associated with pain intensity (3/3) but not frequency (0/1). Beliefs there is no cure and that others should help with their pain (i.e., solicitude) were partially associated with pain intensity (1/3 and 1/2, respectively); whereas beliefs that emotions affect pain were not (0/2).
Taken together, although primary appraisals have been studied infrequently, perceptions of pain unpleasantness and beliefs that pain causes harm, disability, and loss of control appear to be consistently related to worse pain experiences in youth with JIA.
Secondary appraisals – internal factors
Child correlates
There were 7 studies reporting on 22 associations between internal factors a child may consider in their secondary appraisal and JIA pain, 8 of which were significant. Self-efficacy was negatively associated with pain intensity in 3/3 associations. Barlow, Shaw, and Wright [44] developed a measure to assess self-efficacy in children with arthritis. Each of the subscales (activity, emotion, and symptom) demonstrated a significant negative correlation to pain intensity. Vuorimaa and colleagues [87] used the same measure (with a different factor structure [151]) in relation to pain frequency, wherein 2/6 associations were significant (i.e., social self-efficacy but not psychological or somatic self-efficacy). Four additional internal factors were explored in relation to JIA pain. Neither children’s perceptions of their physical appearance (0/3) [42] nor child- or parent-reported self-esteem (0/4) [42, 60] were associated with pain intensity. Stress was positively related to pain intensity in 2/4 associations [51, 72, 85]; however, it is worth noting that nonsignificant results were only observed in one study with a small sample size (n = 16). Interestingly, difficulties with cognitive functioning were negatively correlated with pain intensity in select analyses (1/2) [85].
Parent correlates
Four studies reported on 17 associations between parent cognitive factors and pain in children with JIA. Of those, 8/17 were significant. Parent self-efficacy was negatively associated with pain intensity in 4/10 associations [43, 45] and pain frequency in 4/6 associations [87]. Specifically, psychosocial and symptom self-efficacy were negatively related to child pain intensity in 3/5 and 1/5 associations, respectively [43, 45]. Somatic and social self-efficacy, but not psychological self-efficacy, were negatively related to child pain frequency in 2/2 associations each [87]. Parent self-esteem was not related to children’s JIA pain (0/1) [60].
Taken together, despite the small sample sizes used in many of these studies, various domains of parent and child self-efficacy and children’s perceptions of stress have shown important associations to children’s JIA pain experiences.
Secondary appraisals – external factors
Child correlates
Sixteen studies reported on the relationship between social factors (i.e., school and social functioning, parent responses to pain, family functioning) and pain in children with JIA, with 30/105 significant associations. School functioning was significantly associated with pain intensity in 13/19 associations [40, 42, 52, 58, 71, 72, 75] and pain frequency in 1/1 association [71]. Greater pain was associated with more school absences or reduced school activity (6/8) [40, 52, 71] and home-schooling compared to traditional schooling (1/1) [75]. Pain did not appear to be associated with children’s perceptions of their scholastic competence (0/3) [42]. Similarly, social functioning and pain were significantly related in 9/35 associations. More specifically, social functioning was significantly associated with pain intensity in 8/34 associations [26, 42, 54, 58, 72, 76] and frequency in 1/1 association [2]. Klotsche and colleagues [58] found decreases in pain over time predicted better school and social functioning across 7/8 timepoints within one year. Schanberg and colleagues [2] also found a positive correlation between social concerns and pain frequency, and that pain scores were associated with increased odds of foregoing social activity (2/2) [2, 72]. No other associations were significant between pain and components of social functioning including social support, competence, skills, self-control, acceptance, communication, assertion, cooperation, or empathy (0/25) [26, 42, 54, 76].
Five studies reported on relationships between parent specific resources and children’s pain intensity, all of which had a sample size of less than 60 parents. Parent influences on the child’s mood [87] and responses to the child’s pain [57] were not associated with pain frequency or intensity (0/11); however, the measures used were not validated in this population. Family factors were variably related to pain intensity [26, 60, 70]. In some analyses, independence (1/3), achievement orientation (1/3), intellectual-cultural orientation (1/3), activities (1/2), cohesion (1/5), and expressiveness (1/3) were negatively associated with pain intensity, whereas harmony (1/2) was a positive relationship. Other factors including conflict, control, relationships, moral-religious emphasis, active-recreational orientation, and organization demonstrated no relationships (0/18).
Taken together, JIA pain is consistently associated with lower school and social functioning, but less related to actual skills. Although parent and family factors demonstrated less of a relationship, the studies included used small sample sizes and adapted measures.
Coping
Child correlates
Pain coping strategies were frequently assessed, and significantly associated with pain intensity in 15/61 associations [25, 46, 51, 76, 81, 82], pain frequency in 3/6 associations [64, 87], and pain sensitivity in 2/21 associations [50, 81, 82]. Greater coping ability and efficacy were negatively associated with pain (3/3) [47, 87]. Distraction is often cited as an adaptive coping strategy; however, only behavioral distraction was negatively associated with pain (4/9) [25, 64, 82]. Neither broad measures of distraction (0/6) [76, 81] nor measures of cognitive distraction (0/9) [25, 64, 82] were associated with pain. The use of positive self-statements is also presumed to be an adaptive coping style and was negatively associated with pain intensity (but not frequency or sensitivity) in 4/9 associations [25, 64, 82]. Catastrophizing is often cited as a maladaptive coping strategy, which was positively associated with pain intensity, frequency, and sensitivity in 7/22 associations [25, 50, 51, 64, 81, 82]. The remaining coping strategies were minimally or not associated with pain: externalizing (1/9) [25, 82]; emotion focused avoidance (1/2) [76]; and seeking social support, information seeking, approach, and reinterpretation (0/19) [25, 76, 81, 82]. Many studies exploring pain coping had relatively small sample sizes, likely contributing to the heterogeneity in results.
Taken together, despite some variability, children’s coping strategies of catastrophizing, behavioral distraction, and positive self-statements tended to show an important relationship to JIA pain.
Outcomes
Child correlates
Forty-two studies reported on 183 associations between pain and outcomes such as pain interference, mental health, and well-being, 104 of which were significant. Although a comprehensive review of the physical/functional limitations imposed by JIA pain were beyond the scope of this review, three studies found that the interference that pain imposed on daily activities was positively associated with pain intensity in 13/13 associations [60, 76].
Broad measures of child mental health were not significantly associated with pain intensity (0/8 associations) [26, 41, 60, 86] or sensitivity (0/8) [50]. Externalizing symptoms (e.g., behavior) were also not associated with pain intensity (0/12) [26, 42, 60, 70, 86], a finding that was stable across measures, reporters (parent, child), sample sizes (i.e., 23–60), and analyses (e.g., correlations, regressions). Internalizing symptoms (e.g., distress, emotional functioning) were positively associated with pain intensity in 10/16 associations [26, 39, 51, 58, 70, 86, 88] and with pain frequency in 1/1 association [89]. Most of the nonsignificant relationships used a proxy report to measure internalizing symptoms. Anxiety symptoms were positively associated with pain in 11/23 associations. More specifically, anxiety symptoms were positively associated with pain intensity in 4/10 associations [2, 67, 70, 76, 79, 85], pain frequency in 5/5 associations [2, 87], and pain sensitivity in 2/8 associations [50]. Across these studies, nonsignificant relationships tended to be more prevalent in studies with smaller sample sizes (i.e., 6/10 associations where n ≤ 52). Depression symptoms were positively associated with pain in 21/44 associations. Specifically, depression symptoms were positively associated with pain intensity in 19/42 associations [2, 4, 47, 49, 53‐55, 57, 67, 70, 79, 84, 85, 91] and pain frequency in 2/2 associations [87]. While most scales assessed various depression symptoms (e.g., Children’s Depression Inventory, Mood and Feelings Questionnaire), some studies explored individual symptoms. Negative affect [47, 84], but not hopelessness or sadness [54], was found to be positively associated with greater pain intensity. Using a daily diary methodology, Connelly and colleagues [49] explored the relationship between emotion regulation and pain intensity. Although lower pain intensity was not correlated with child- or parent-reported emotion regulation or the adaptive upregulation of positive emotions, findings suggested that children with lower pain intensity were better able to manage their negative emotions and had fewer mood fluctuations day-to-day (i.e., less variability in positive and negative affect). Two studies explored the impact of pain on depression symptoms longitudinally. Hanns [55] found that higher baseline pain intensity was associated with worse depression symptoms over 12 months; results that were in keeping with other studies [91]. Across these associations, nonsignificant results were common in studies published before the year 2000; however, these studies also tended to report on younger samples (e.g., childhood) and used parent reports of depression symptoms (i.e., 7/7).
Greater HRQOL was significantly associated with lower pain intensity (28/37) [38, 58‐60, 62, 65, 68, 69, 73, 76, 79, 80, 86] and lower pain intensity variability (1/1) [3], and greater well-being was significantly associated with lower pain intensity (15/16) [4, 60, 66, 69, 71, 74, 79] and pain frequency (4/4) [71, 87]. These findings were consistent across measures (e.g., Childhood Health Assessment Questionnaire, Pediatric Quality of Life Inventory), timeframes (e.g., usual, past week), reporters (child, parent, HCP), and analyses (e.g., correlations, regressions). In addition to cross-sectional studies, Listing and colleagues [62] found that greater pain intensity at baseline was not only associated with lower HRQOL at baseline, but also 36 months later. Similar results were found by others [58, 69, 80]. Nonsignificant results were more prevalent in studies with small sample sizes (i.e., 3/5 studies where n ≤ 36) and those assessing psychosocial HRQOL especially with the Child Health Questionnaire (7/11 studies).
Parent correlates
Six studies reported on 22 associations between parent mental health outcomes and JIA pain. Mothers’ mental health was over-represented (samples ranged from 83 to 100% female). Across these studies, 9/22 associations were significant. Parent internalizing symptoms (e.g., distress) were positively related to child pain intensity in 2/3 associations [48, 70]. Parental symptoms of anxiety were not associated with child pain intensity or frequency (0/3) [45, 87]. Parental symptoms of depression were positively associated with pain frequency (3/4) [87], but not intensity (0/2) [39, 45]; however, the latter two studies had smaller sample sizes (n ≤ 51). Parent identified limitations that pain imposed on their daily activities were positively associated with their child’s pain in 4/10 associations [39, 48, 60]. More specifically, Bruns and colleagues [48] were unable to demonstrate a relationship between caregiver burden and child pain intensity; however, Kovalchuk and colleagues [60] found that time and emotional impact were positively correlated with parent- (but not child-) reported pain intensity. Furthermore, Anthony and colleagues [39] found that although parent-reported hassles (i.e., perceptions of daily events like the weather and their workload as negative) were not significantly associated with child pain intensity, the frequency of parent-reported uplifts (i.e., parents identifying daily events as positive) was interestingly associated with greater child-reported pain.
Taken together, internalizing symptoms in children (anxiety, depression, and interference) and parents (depression, impacts on time and emotions, and more frequent uplifts) tend to demonstrate reliable associations to greater pain in children in studies with sufficient sample sizes using validated self-report measures, whereas greater HRQOL/well-being appears to be robustly related to lower JIA pain in children with JIA.
Aim 2: Prognostic factors
Primary appraisals
Child factors
The relationship between pain beliefs and pain were assessed prognostically in one study [83], wherein 4/5 associations were significant. Following up on their earlier work, Thastum and Herlin [83] explored the impact of pain beliefs on pain intensity two years later. They found that baseline beliefs of harm, disability, and lack of control (but not that there is no medical cure) were positively correlated with later pain intensity, and that cognitive beliefs (i.e., the sum of the above beliefs) predicted greater pain intensity two years later. Taken together, pain beliefs are an important prognostic factor for later JIA pain experiences.
Outcomes
Child factors
Prognostically, the relationship between depression symptoms and pain intensity were explored in four studies [4, 49, 55, 56]. Of those, depression symptoms significantly predicted pain intensity in 7/14 associations. Connelly and colleagues [49] used a 28-day daily diary study to explore whether emotion regulation predicted pain intensity. Through linear mixed models, they found similar results longitudinally as were reported cross-sectionally. Namely, greater variability in positive and negative emotions predicted greater pain intensity over time, and the adaptive upregulation of positive emotions following a drop in emotions predicted lower pain intensity over time. Two studies using the same database [4, 55] found that more depression symptoms at baseline predicted greater pain intensity and less improvement in pain over at least one year. Rashid and colleagues [4] went on to conduct a group-based trajectory analysis, however no differences in depression symptoms across pain groups were observed. Finally, Hoff and colleagues [56] assessed depression symptoms and pain intensity dyadically over 12 months. Although child-reported baseline depression symptoms did not predict later parent-reported pain intensity, it predicted later child-reported pain intensity when pain was low at baseline.
The relationship between well-being and pain was also explored by Rashid and colleagues [4], wherein 4/8 associations were significant. Worse baseline well-being was significantly correlated with less change in pain intensity over 12 months; however, change in well-being was not correlated with change in pain intensity. Moreover, in their group-based analyses, the “consistently high” and “improved pain” groups had significantly worse baseline well-being than the “consistently low” pain group, and improvements in well-being at six months were more likely in the “improved pain” group compared to the “consistently low” pain group.
In sum, the predictive value of depression symptoms on later pain experiences appeared to be contingent on the specific symptoms assessed and the reporter of these variables. Nevertheless, greater depression symptoms and lower well-being were predictive of worse pain intensity over time, but both relationships are likely more complex.
Discussion
Pain is a common experience that affects children with JIA in many ways. Across 61 studies, 516 unique associations between pain and psychosocial factors were identified. Most studies explored these associations cross-sectionally, with 51 associations explored longitudinally. The studies were of moderate quality, with the identification of confounds, and validity of outcome (i.e., pain) measures as the biggest areas for improvement. All studies were nevertheless included. Various factors were explored in relation to JIA pain, speaking to the complex relationships that exist; however, the emphasis was predominantly on child outcomes (e.g., mental health, well-being) and less on primary and secondary appraisals within the child and caregiver. Within and between studies, only a few variables were always related to JIA pain (unpleasantness and interference; beliefs of harm, disability, and control). The heterogeneity of most results is likely attributable to the moderate study quality, variability in measures and reporters, and small sample sizes; publication year did not appear to impact results substantially. Various factors are nevertheless important to consider as the associations were generally significant and trending in the same direction.
With regards to children’s primary appraisals, two constructs were looked at in relation to JIA pain – perceptions of pain unpleasantness and pain beliefs. These perceptions and beliefs are assumptions of reality through which events such as arthritis pain can be interpreted, and are thereby presumed to affect coping efforts and the pain experience [152]. For example, a child who believes their JIA pain is purely physical in nature may feel a lack of control over their pain, thus increasing the attention given to their pain experience. While only a few studies explored these associations, results consistently demonstrated that perceptions of unpleasantness and beliefs that pain signifies harm, causes functional disability, and is unable to be controlled were significantly associated with worse JIA pain cross-sectionally and longitudinally. Less consistently, beliefs that there is no cure, that emotions impact pain, and that others should respond solicitously tended to be associated with greater pain. Pain beliefs appear to be a promising area for future research, especially in conjunction with pain neuroscience as an intervention to target unhelpful beliefs.
A few constructs were explored pertaining to the child’s and parent’s assessments of their internal and external resources available to manage JIA pain (i.e., secondary appraisals). While some internal resources (self-esteem, cognitive functioning, stress, perceptions of physical appearance) were minimally explored, one was explored in greater depth. Self-efficacy is one’s expectations of success in performing the behaviors required to meet a specific outcome [153], which has theoretical implications for the actions one takes, the amount of effort exerted, and the nature of one’s thoughts and emotions [44]. It is thought to be a key mechanism of change in fostering resilience [154]. Although a relatively nascent construct in pediatric pain, within broader pain populations it has also been associated with lower pain severity [155]. Two teams explored self-efficacy in this population using different subscales and pain outcomes. Across these studies, both child and parent self-efficacy (albeit in different domains) were generally related to better pain experiences. Thus, self-efficacy is a vital construct for further exploration.
Various factors pertaining to external resources were also explored. While JIA pain was not associated with impaired social skills, it was generally associated with worse school (e.g., attendance, paying attention in class, keeping up with schoolwork) and social (e.g., getting along with others, having friends) functioning. These findings parallel the pain literature [156, 157] and can be understood through the interpersonal fear avoidance model of pain [158]. The child’s internal pain experience is theorized to lead to negative cognitions, which can contribute to avoidant behaviors (e.g., avoiding school or friends). This can limit the child’s social support which, upon future secondary appraisals, can further aggravate the child’s pain. Longitudinal designs are required to fully understand these pathways. This model also highlights how parents contribute to children’s pain experiences. Parent pain responses (e.g., responding protectively, reinforcing activity restriction, distracting) were not significantly related to JIA pain in this review, which is in line with a recent meta-analysis demonstrating that they are more closely related to functional disability [159]. Family variables (e.g., harmony, cohesion) have also been postulated to affect pain intensity in JIA; however, in this review, as in the broader literature [160], these relationships were unreliable. Pain was inconsistently associated with greater harmony and less achievement, achievement orientation, expressiveness, activities, cohesion, and intellectual-cultural orientation. It is possible that JIA pain may cause a unique dynamic within the family, wherein the family engages in fewer activities, is less cohesive, and is more co-dependent. Greater family harmony was an interesting finding, which was theorized to be because an overly harmonious and responsive environment may reinforce pain behaviors [70]. These results must be interpreted with caution given the small sample sizes of the studies exploring them. More research with larger samples, new pain-specific family measures, and longitudinal studies showing how family functioning varies with pain flares is warranted.
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Coping, or the intentional use of thoughts and behaviors to manage stressful experiences [161], was also explored in relation to JIA pain. Certain coping strategies are posited to be adaptive and have the potential to improve the child’s well-being and pain experience (e.g., seeking information and social support, problem solving, positive self-statements, distraction). Other strategies are viewed as maladaptive and are thought to be associated with worse well-being and pain (e.g., emotion-focused avoidance, catastrophizing, externalizing; [162]). With that said, there is significant variability in the pediatric pain literature regarding coping theories, measures, and responses [163], which was also observed in this review. While the associations identified in this review trended in the expected directions, results were neither straightforward nor unanimous. Specifically, only positive self-statements and behavioral distraction were generally associated with reduced pain, and only catastrophizing tended to be associated with greater pain. Strategies such as seeking social support and information, externalizing, emotion-focused avoidance, and approach were not significant in either direction. These results are likely a function of the broader variability in the literature [163] as well as the small sample sizes of the included studies. Moreover, no studies investigated these findings longitudinally or explored parent coping. As such, there is a clear need for more theoretically-driven research understanding the role of child and parent coping in JIA pain cross-sectionally and longitudinally.
Outcomes in relation to JIA pain (e.g., mental health, well-being) were explored most frequently and are presumed to be a result of the primary and secondary appraisals and coping efforts and can subsequently influence future appraisals. One of the most consistent findings of this review was the negative relationship between pain and measures of HRQOL and well-being. Results were demonstrated cross-sectionally and longitudinally in both directions (i.e., pain predicting lower well-being and the reverse). In considering the multidimensional nature of pain, HRQOL comprises the evaluative component, or the way in which pain affects one’s broader well-being such as their functioning [164, 165]. Thus, the consistent and bidirectional relationships identified in this review are well grounded in the literature. Although nonsignificant results were observed, they were more prevalent in studies with smaller sample sizes and those using the Child Health Questionnaire (a measure reported to be confusing due to the varying response options and recall periods across items [166]). Although broad measures of child mental health and externalizing symptoms were not related to JIA pain, significant associations were often observed with measures assessing internalizing symptoms, and more specifically symptoms of interference, anxiety, and depression. Nonsignificant results tended to occur in younger samples, when proxy reports of internalizing symptoms or pain were used, and in studies with smaller sample sizes. As pain and internalizing symptoms are internal experiences, proxy reporters may not fully understand the child’s experiences with either, leading to null results. Nevertheless, these findings parallel what has been seen in the broader pediatric pain literature [167]. With regards to the relationships between pain and depression symptoms, interestingly results were retained in longitudinal designs, with some studies finding that pain predicted later depression symptoms, and other studies demonstrating the reverse. Current frameworks suggest that rather than one causing the other, there is a shared vulnerability wherein pain and internalizing symptoms may develop and maintain one another (see Jastrowski Mano [168], Soltani [169], and Vinall [170] for reviews).
The role of parent mental health is also salient in these frameworks. In this review, a small number of studies cross-sectionally explored the relationship between parent (largely maternal) mental health and JIA pain. Although anxiety symptoms were not related to pain, few studies examined this. Broader measures of internalizing and depression symptoms demonstrated a relationship to greater JIA pain in some but not all associations, as did scales assessing the impacts pain has on parents’ time and emotions. This is consistent with the small to null effects found in a recent meta-analysis on the role of parent factors in pediatric pain [171]. As suggested by the abovementioned frameworks, it is likely that the relationship does exist, however is more complex than correlations may suggest. According to social learning theory, a parent observing their child in pain may experience internalizing symptoms which through modelling and specific responses may contribute to the child’s own internalizing symptoms and draw greater attention to their pain experience. More research is needed to further test these frameworks, particularly as it relates to paternal mental health. Another interesting finding emerged, wherein more parent-reported uplifts, or positive events in the day, was associated with greater pain [39]. It was posited that increased pain led to parents being more attentive to positive daily experiences or that parents were more attentive to their child’s pain when there were more positive events in the day; however, future research is warranted to test these theories.
In sum, numerous psychosocial correlates have been identified in relation to JIA pain, all of which have important implications in the child’s future appraisals of JIA pain and are key targets for pain assessment and intervention. This study had strengths in its inclusion of multiple dimensions of the pain experience, a broad array of psychosocial factors, multiple reporters, and unlimited inclusion dates and quantitative designs. There are also limitations. The search was restricted to children 0–17 years of age; some studies were excluded because they included youth 18 years and older, thus limiting the scope of this review. Similarly, only studies that included “pain” or some variation of the term in their abstracts were included. It is possible that some studies were missed as they did not mention pain or used a different dimension of pain all together (e.g., impact, number of painful joints). Finally, given the heterogeneity of the associations and samples included, the focus was on significance and directionality. Future research may benefit from using effect sizes and meta-analytic techniques to further explore these relationships [167], though at present methodology and measurement is so diverse across studies that this may be premature.
The results of this review identify important research directions. Most studies assessed correlational relationships between psychosocial factors and JIA pain. To advance our understanding of factors predictive of JIA pain, there is a need for high quality longitudinal designs. With regards to methodological considerations, participants were largely females with polyarticular or oligoarticular JIA. Future research should seek to explore the pain experience in other populations such as males, other JIA subtypes, and diverse ethnic backgrounds. Furthermore, over 20 studies did not clearly cite or describe their pain measure, 15 relied on a proxy report of pain, and seven did not clarify who the reporter was. While some of these studies may have predated best practice in pediatric pain research, it is recommended that future studies obtain self-reports of pain in children ages 5–6 years old and older [172] and behavioral observations for younger or nonverbal children [173]. Assessment of pain in younger or nonverbal children nevertheless remains an important area where further research is required, especially in the context of JIA. These results similarly highlight the inconsistency in measures used to assess psychosocial factors, suggesting the need for greater consensus and psychometric support across measures in this population. Moreover, it is well known that these relationships are more complex than can be expressed through correlations or main effects. An important next step will be to use larger samples and/or open databases that allow for complex analyses that will offer insight into how biopsychosocial factors interact to affect JIA pain (e.g., functioning, rheumatoid factor, cyclic citrullinated peptide antibodies, the child’s growth and development, bone and mineral metabolism) [167], and how the relationship between psychosocial factors and pain may differ based on subgroups of individuals (e.g., the 10–15% of children with JIA who experience more chronic JIA [5, 174]). Finally, this review has highlighted a restricted set of psychosocial correlates, despite a call nearly 2 decades ago to explore the role of parent/family factors in relation to pain [175], and more recent calls to take a strengths-based approach [176]. As such, in addition to more rigorously assessing the identified associations, there are many factors that were not identified in this review and as such have yet to be explored in relation to JIA pain (e.g., parent factors, temperament/personality dimensions, resilience).
These findings have important clinical implications. Of primary importance is that pain should be assessed comprehensively and regularly in clinics. Stinson and Prescott have outlined several brief and validated pain assessment measures to use with youth diagnosed with JIA [165]. The psychosocial factors identified play an important role in the child’s pain experience, regardless of whether they cause, are caused by, or are only tangentially related to JIA pain. In line with the interdisciplinary approach to pain management, while pharmacological and physical strategies may be appropriate, psychosocial supports may also be warranted given these results. With regards to psychological interventions, there is preliminary support for their efficacy in reducing pain (and improving other outcomes) in children with JIA [27, 28]. The findings of this review can help refine and design new interventions tailored to address factors associated with worse pain and promote factors associated with reduced pain.
Conclusions
JIA pain is a complex and pervasive issue. This study has identified psychosocial factors that tend to be associated with or predictive of JIA pain, including child pain beliefs, internal and external resources (e.g., self-efficacy, social factors, intervention participation), and outcomes such as internalizing symptoms and well-being. Results however should be interpreted with caution given the heterogeneity of findings. These results can help guide the clinical care of children with JIA and can better inform interventions. Moreover, this study has identified several directions for future research, including the use of validated pain measures and larger samples to explore the interactions amongst variables.
Acknowledgements
The authors would like to acknowledge Leah Boulos, Evidence Synthesis Coordinator at the Maritime SPOR SUPPORT Unit, for offering information specialist advice on the search strategy and general methodology of this review. The authors would like to acknowledge Cassie and Friends for their partnership in this work, as well as the following patient and family partners for sharing their insights on the findings of this review: Tiffany Thompson, Abby Mazzone, and Amy Mazzone.
Declarations
Ethics approval and consent to participate
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Not applicable.
Competing interests
The authors declare that they have no competing interests.
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A systematic review of the psychosocial factors associated with pain in children with juvenile idiopathic arthritis
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Yvonne N. Brandelli Christine T. Chambers Sean P. Mackinnon Jennifer A. Parker Adam M. Huber Jennifer N. Stinson Emily M. Wildeboer Jennifer P. Wilson Olivia Piccolo
Wer ihn je erlebt hat, wird ihn nicht vergessen: den Schmerz, den die beim Öffnen oder Schließen des Reißverschlusses am Hosenschlitz eingeklemmte Haut am Penis oder Skrotum verursacht. Eine neue Methode für rasche Abhilfe hat ein US-Team getestet.
Zwar scheint es laut einer Studie aus den USA und Kanada bei der Reanimation von Kindern außerhalb einer Klinik keinen Unterschied für das Überleben zu machen, ob die Wiederbelebungsmaßnahmen während des Transports in die Klinik stattfinden oder vor Ort ausgeführt werden. Jedoch gibt es dabei einige Einschränkungen und eine wichtige Ausnahme.
Welchen Einfluss das Alter ihrer Mutter auf das Risiko hat, dass Kinder mit nicht chromosomal bedingter Malformation zur Welt kommen, hat eine ungarische Studie untersucht. Sie zeigt: Nicht nur fortgeschrittenes Alter ist riskant.
Ob ungeborene Kinder, die kleiner als die meisten Gleichaltrigen sind, schneller wachsen, wenn die Mutter sich mehr ausruht, wird diskutiert. Die Ergebnisse einer US-Studie sprechen dafür.
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