Literature DB >> 34188533

Lose Pain, Lose Weight, and Lose Both: A Cohort Study of Patients with Chronic Pain and Obesity Using a National Quality Registry.

Huan-Ji Dong1, Elena Dragioti1, Marcelo Rivano Fischer2,3, Björn Gerdle1.   

Abstract

BACKGROUND: It is known that chronic pain makes it difficult to lose weight, but it is unknown whether obese patients (body mass index ≥30 kg/m2) who experience significant pain relief after interdisciplinary multimodal pain rehabilitation (IMMPR) lose weight.
OBJECTIVE: This study investigated whether obese patients with chronic pain lost weight after completing IMMPR in specialist pain units. The association of pain relief and weight change over time was also examined.
METHODS: Data from obese patients included in the Swedish Quality Registry for Pain Rehabilitation for specialized pain units were used (N=224), including baseline and 12-month follow-up after IMMPR from 2016 to 2018. Patients reported body weight and height, pain aspects (eg, pain intensity), physical activity behaviours, psychological distress, and health-related quality of life (HRQoL). A reduction of at least 5% of initial weight indicates clinically significant weight loss. Patients were classified into three groups based on the pain relief levels after IMMPR: pain relief of clinical significance (30% or more reduction of pain intensity); pain relief without clinical significance (less than 30% reduction of pain intensity); and no pain relief. Linear mixed regression models were used to examine the weight changes among the groups with different pain relief levels.
RESULTS: A significant reduction of pain intensity was found after IMMPR (p < 0.01, effect size Cohen's d = 0.34). A similar proportion of patients in the three groups with different pain relief levels had clinically significant weight loss (20.2%~24.3%, p = 0.47). Significant improvements were reported regarding physical activity behaviour, psychological distress, and HRQoL, but weight change was not associated with changes of pain intensity.
CONCLUSION: About one-fifth of obese patients achieved significant weight reduction after IMMPR. Obese patients need a tailored pain rehabilitation program incorporating a targeted approach for weight management.
© 2021 Dong et al.

Entities:  

Keywords:  chronic pain; obesity; pain intensity; pain rehabilitation; weight loss

Year:  2021        PMID: 34188533      PMCID: PMC8232849          DOI: 10.2147/JPR.S305399

Source DB:  PubMed          Journal:  J Pain Res        ISSN: 1178-7090            Impact factor:   3.133


Introduction

Pain and obesity are common comorbidities.1,2 Weight management programs have found that pain-related inhibition interferes with weight loss interventions.3–6 Obesity appears to be a potential marker of functional and psychological complications of chronic pain.7 The vicious cycle of pain-inactivity-weight gain-more pain related to obesity has also been identified as a difficult challenge in pain rehabilitation.8,9 Daily clinical practice, especially in specialist units of multidisciplinary pain rehabilitation, often focuses on interventions that address chronic pain and other common comorbidities such as anxiety, depression, and sleep deprivation. However, weight reduction for obese patients with chronic pain is not considered a primary goal. Typically, health professionals and patients expect that other comorbidities can be treated simultaneously after one major problem – eg, chronic pain – has improved. Interdisciplinary multimodal pain rehabilitation (IMMPR) includes group activities (eg, chronic pain education, supervised physical activity, cognitive behavioural therapy, and work and activity training) led by health professionals over several weeks to a few months.10,11 As with interventions in weight management, IMMPRs are delivered by an interdisciplinary team working according to a biopsychosocial framework.12,13 Earlier studies report that pain rehabilitation increases weight loss and reduces pain in overweight/obese patients who have knee osteoarthritis.6,14 However, these studies were limited to specific pain conditions and pain reduction was not considered clinically important.15 As obesity is related to several pain conditions, it is worth studying the impact of IMMPR on obese patients with various pain conditions. Since 2016, the Swedish Quality Registry for Pain Rehabilitation (SQRP) has included self-reported body weight and height, data that reflect Sweden’s increased attention on obesity and pain. To understand how pain and weight control are related, it is also important to compare outcomes from patients with different pain conditions undergoing IMMPR to outcomes from weight management services. This study investigates whether obese patients presenting a variety of chronic pain conditions reduced their weight after completing an IMMPR in specialist pain units. As there are bilateral barriers between pain relief and weight reduction,4,5,16 this study also evaluates the influences of pain relief on weight change over time. Increased knowledge about whether obese patients can obtain weight loss benefits from IMMPR may help improve IMMPR interventions for this specific and growing patient group.

Materials and Methods

Study Sample and Procedure

This study used data from the Swedish Quality Registry for Pain Rehabilitation (SQRP). Most Swedish pain units (>90%) refer to data from this registry to assess patients and to develop interdisciplinary rehabilitation strategies. The SQRP and the instruments included have been described in detail elsewhere.10,11 Briefly, specialist pain units handle patients with complex chronic pain referred mainly by primary care physicians. Inclusion criteria were patients ≥18 years old with disabling chronic musculoskeletal pain (≥3 months), defined as non-malignant pain conditions such as back or neck pain and fibromyalgia or general widespread pain. For this study, we obtained SQRP data from two consecutive years, between 2016 and 2018, for subjects with additional comorbid obesity (Body Mass Index, BMI ≥30 kg/m2). The patients complete the SQRP questionnaires (see below) before their first visit (Pre-IMMPR), immediately after completing the IMMPR (between 4 and 18 weeks),17 and at a 12-month follow-up (FU-IMMPR). In this study, we used data from the Pre-IMMPR and FU-IMMPR to measure the maintained effect of weight changes. Exclusion criteria were ongoing major somatic or psychiatric disease, a history of significant substance abuse, or a state of acute crisis. Diseases that did not allow physical exercise and specific pain conditions with other treatment options available (red flags) were general exclusion criteria. MMRP distinguishes itself as a well-coordinated intervention leading to a complex intervention instead of a single treatment. The MMRPs continue over a lengthy period with a common goal and generally include education, supervised physical activity, training in simulated environments, and cognitive behavioural therapy (CBT) coordinated by an interdisciplinary team (eg, physician, occupational therapist, physiotherapist, and psychologist) using a biopsychosocial view of chronic pain.17,18 IMMPR programs in specialist units are conducted in groups of six to eight patients. Each patient makes an individual plan and a schedule in collaboration with the IMMPR team. Systematic reviews have reported that IMMPRs are more effective than single treatment or treatment-as-usual programs.18–20 This study was conducted in accordance with the Helsinki Declaration and Good Clinical Practice and approved by the Ethical Review Board in Linköping (Dnr: 2015/108-31). Signed informed consent forms were collected from all participants.

Measurement

Background Variables

Self-administered SQRP questionnaires provided the socio-demographic information: age (years), gender (male/female), highest education level (college/university, secondary school, or primary school), country of birth (Nordic countries or Non-Nordic countries), and working or studying (yes/no).

Weight Status and Weight Changes

This study included all the participants classified as obese at the Pre-IMMPR according to the World Health Organization (WHO) criteria: obesity class I (BMI 30–34.9kg/m2); obesity class II (BMI ≥35–39.9kg/m2); and obesity class III (BMI ≥40kg/ m2).21 Body weight and height were self-reported or measured at the unit and registered during the clinical assessment. Weight change (Pre-IMMPR vs FU-IMMPR) is defined as weight loss of ≥5% of initial body weight (at Pre-IMMPR), weight stable with no more than 5% weight reduction or gain, and weight gain with an increase of >5% of body weight.5,22,23 A reduction of at least 5% of initial weight indicated clinically meaningful weight loss after one year of treatment.23,24 Previous studies have found high correlations between measured weight- and height-calculated BMI and self-reported values of BMI (Pearson’s r = 0.89–0.97 for different age groups and gender).25 Self-reported values (sensitivity of 88.1% and specificity of 97.4%) are used to identify overweight/obesity based on BMI measurements.26

Pain and Changes of Pain Intensity

A Numeric Rating Scale (NRS) was used to rate average pain intensity for the previous week, with a possible score from 0 to 10 where the highest number represents the worst possible pain. This variable is denoted as NRS-7d. Although no definitive meaningful pain relief exists, changes in pain intensity (pre-IMMPR vs FU-IMMPR) were grouped into three categories following the criteria that a 30% or more reduction in NRS is considered a clinically important difference.5,27 A minimal important reduction was considered as a one point NRS reduction or 10–20% NRS reduction, a limit found in the literature.28,29 This resulted in the following three categories: pain relief ≥30% NRS decrease, pain relief <30% NRS decrease, and no pain relief (no NRS change or increased NRS at FU-IMMPR). Pain distribution (Pain Region Index, PRI) reflects the degree of anatomical spread of pain on the body. PRI was obtained using 36 predefined anatomical areas (18 on the front and 18 on the back of the body): (1) head/face, (2) neck, (3) shoulder, (4) upper arm, (5) elbow, (6) forearm, (7) hand, (8) anterior aspect of chest, (9) lateral aspect of chest, (10) belly, (11) sexual organs, (12) upper back, (13) low back, (14) hip/gluteal area, (15) thigh, (16) knee, (17) shank, and (18) foot. The number of areas with pain (range: 1–36) were summed. The PRI was measured at Pre-IMMPR. For descriptive purposes, self-reported pain duration (days) and persistent pain duration (days) are presented.

Physical Activity Variables

The SQRP includes two questions about physical activity (PA) based on the recommendation of the Swedish National Board of Health and Welfare.30 The questions are validated for use in Sweden: one about physical exercise every week (PE) and the one about everyday physical activity (EPA).31 The detailed calculation methods of PE time, EPA time, and total PA time have been described in a previous study.32 Briefly, during a regular week, self-perceived time spent on exercise that makes the person short winded (eg, running, fitness class, or ball games) was recognized as PE. The following answer alternatives were provided 0 minutes/none, less than 30 minutes, 30–60 minutes (0.5–1 hour), 60–90 minutes (1–1.5 hours), 90–120 minutes (1.5–2 hours), and more than 120 minutes (2 hours). Second, during a regular week, self-perceived time on non-exercise physical activity (eg, walks, bicycling, or gardening) lasting for at least ten minutes was recognized as EPA. The following answer alternatives were provided 0 minutes/none, less than 30 minutes, 30–60 minutes (0.5–1 hour), 60–90 minutes (1–1.5 hours), 90–150 minutes (1.5–2.5 hours), 150–300 minutes (2.5–5 hours), and more than 300 minutes (5 hours). Finally, the total PA time was calculated by multiplying PE by two and adding the product to EPA (PE minutes × 2 + EPA minutes). The midpoints of intervals for each answer option were used (ie, less than 30 minutes converted to 15 minutes, 30–60 minutes converted to 45 minutes, more than 120 minutes or 300 minutes converted to 120 and 300 minutes, respectively).

Psychological Variables

The Insomnia Severity Index (ISI) includes seven items that generate a score between 0 and 28 that quantifies perceived insomnia severity.33,34 The reliability, validity, and clinical utility of the Swedish version of ISI have been previously studied.35–37 The Hospital Anxiety and Depression Scale (HADS) was used to measure anxiety and depression.38 HADS has two subscales – an anxiety subscale (HADS-A) and a depression subscale (HADS-D) – with a scoring range between 0 and 21. A higher score indicates a higher possibility of anxiety or depression. The Swedish translation of HADS has been validated.39 The Pain Catastrophizing Scale (PCS) measures catastrophic thinking related to pain.40 The PCS consists of 13 items in three domains: rumination, magnification, and helplessness. Each item has five answer alternatives on a five-point scale, ranging from 0 (not at all) to 4 (always). Patients assess the degree to which they experience certain thoughts or feelings during pain. Higher scores indicate a greater tendency for catastrophizing. The Swedish version of the PCS for patients with chronic pain has been validated.41 We use the total score (0–52) in this study.

HRQoL Variables

Health-related Quality of Life (HRQoL) was measured using the RAND-36 (RAND Corporation, ), which assesses multi-dimensional health concepts.42,43 RAND-36 has eight dimensions, each ranging from 0 to 100. Two summary scores – physical and mental health composites (PCS and MCS) – are derived from these eight scales. We use both the PCS and MCS in this study.

Statistics

All statistics were performed using the statistical package IBM SPSS Statistics (version 26.0; IBM Corporation). Descriptive data include mean value with standard deviations (Mean ± SD) or median with interquartile range (IQR) for continuous variables and number with percentage (n, %) for categorical variables. SQRP uses predetermined rules to handle single missing items of a scale or a subscale. This procedure has been reported elsewhere.44 To investigate within group changes at FU-IMMPR, we used paired sample t-test and Wilcoxon Signed-rank test to quantify the differences between Pre-IMMPR and FU-IMMPR. Spearman correlations were calculated to test the linear relationship between weight changes, changes of pain intensity, and changes of other variables after IMMPR. A p value below 0.05 was considered significant. Effect sizes (ES) for within-group analysis were computed using a calculator when appropriate (Cohen’s d for t-test and r for Wilcoxon signed-rank test). A summary of the ES interpretation is listed in Table 1.45
Table 1

A Summary of Effect Size and Their Interpretations

InterpretationCohen’s d (t-test)r (Wilcoxon Signed-Rank Test)
No Effect0.0 to <0.200.0 to <0.10
Small Effect0.20 to <0.500.10 to <0.30
Moderate Effect0.50 to <0.800.30 to <0.50
Large Effect≥ 0.80≥ 0.50

Notes: Rules of thumb for interpreting effect sizes.

A Summary of Effect Size and Their Interpretations Notes: Rules of thumb for interpreting effect sizes. To compare the impact of IMMPR to changes in the analysed variables between the three pain relief categories, we used linear mixed models to examine the influence of the main factors – ie, Group (groups with different levels of pain relief), Treatment (Pre-IMMPR and FU-IMMPR), and Group × Treatment interaction. Group x Treatment interaction indicated that group changes occurred as a consequence of IMMPR. Analysis of each variable of interest was adjusted for socio-demographic factors, change of pain intensity, and pain distribution.

Results

General Characteristics, Changes in Weight, and Changes in Pain

Of the 872 patients included in this study, 224 were classified as obese at Pre-IMMPR (224/872; 25.7%). A summary of general characteristics is shown in Table 2. Most of the chronic pain patients with obesity were middle-aged women born in a Nordic country who had completed secondary school education. A significant higher proportion were working or studying at FU-IMMPR but not at Pre-IMMPR (72.3% vs 51.3%, p < 0.01, small ES).
Table 2

General Characteristics of Obese Patients (N = 224)

CharacteristicsTotal n (%)
Sociodemographic variables
Age, Mean ± SD46.8±8.2
Gender (female)177 (82.3)
Place of birth (Nordic countries)187 (87.3)
Education
 College/university55 (31.8)
 Secondary school94 (54.3)
 Primary school24 (13.9)
Working/ study
 Pre-IMMPR115 (51.3)
 FU-IMMPR162 (72.3)a
Body weight
Weight, Mean ± SD
 Pre-IMMPR97.2±16.0
 FU-IMMPR (n=183)95.9±17.4b
BMI, Mean ± SD
 Pre-IMMPR34.2±4.0
 FU-IMMPR (n=183)33.6±4.3b
BMI category at Pre-IMMPR, n (%)
 Obesity class I161 (71.9)
 Obesity class II46 (20.5)
 Obesity class III17 (7.6)
Pain features
Pain intensity, NRS-7d, Mean ± SD
 Pre-IMMPR (n =223)6.9±1.7
 FU-IMMPR (n =216)6.2±2.2c
Pain Regional Index (n=223), Mean±SD17±9
Pain duration, days, Median (q1–q3)2878 (949–6708)
Persistent pain duration, days, Median (q1–q3)1832 (718–6036)

Notes: ap < 0.01, ES =0.22; bp > 0.05, ES < 0.30; cp < 0.01, ES = 0.34.

Abbreviation: ES, effect size.

General Characteristics of Obese Patients (N = 224) Notes: ap < 0.01, ES =0.22; bp > 0.05, ES < 0.30; cp < 0.01, ES = 0.34. Abbreviation: ES, effect size. Of the 224 patients classified as obese at admission, most were classified as class I (71.9%) or class II (20.5%). The absolute values of weight change and BMI change were non-significant from Pre-IMMPR to FU-IMMPR. At FU-IMMPR, over one-fifth (21.3%) of the patients had reached ≥5% weight loss. In this study, most participants had a high pain intensity (ie, NRS = 7–10) at Pre-IMMPR (140/223; 62.5%). A significant reduction of pain intensity was found at FU-IMMPR (p < 0.01; ES = 0.34; small ES) (Table 2). One-fifth of the patients achieved pain relief of clinical importance (NRS decrease at least 30%) and one-fourth had pain relief but it did not reach clinical importance (Table 3). A widespread pain distribution (PRI, 17 ± 9) with long pain duration (median years: 7.9) and persistent pain (median years: 5) was found in the sample.
Table 3

Weight Changes Among the Groups with Different Pain Relief at FU-IMMPR

Pain ReliefWeight ChangeTotal (n=180)Pain Relief ≥30% NRS DecreasePain Relief <30% NRS DecreaseNo Pain ReliefP-value
Weight gainers27 (15)4 (10.8)11(22.4)12 (12.8)0.47
Weight stable114 (63.3)24 (64.9)27 (55.1)63 (67)
Weight losers39 (21.7)9 (24.3)11 (22.4)19 (20.2)

Notes: Statistics, Chi2 = 3.524, df = 4.

Weight Changes Among the Groups with Different Pain Relief at FU-IMMPR Notes: Statistics, Chi2 = 3.524, df = 4. No statistically significant difference was noted for weight, BMI, and pain intensity at Pre-IMMPR between the patients with complete information on weight and pain status at FU-IMMPR and dropouts (n = 44, data not shown).

Relationship Between Weight Change and Pain Change

A similar proportion of patients reached at least 5% weight loss in the three categories of pain relief (Chi2 = 3.524, df = 4, p = 0.47, Table 3). No significant change was found in absolute weight values from Pre-IMMPR to FU-IMMPR between the three categories of pain relief nor in each category (Cohen’s d = 0.07–0.23) (Figure 1 and Table 4).
Figure 1

Body weight for the three categories of pain relief. The boundary of the box closest to zero indicates the 25 th percentile, a black line within the box marks the median, and the boundary of the box farthest from zero indicates the 75 th percentile. Whiskers above and below the box indicate the error bars (95% confidence intervals). Mild outliers are marked with a circle (O) and extreme outliers are marked with an asterisk (*).

Table 4

Changes in Weight, Physical Activity, and Psychological Variables and HRQoL as an Effect of IMMPR

Pain Relief ≥30% NRS Decrease N= 45Pain Relief <30% NRS Decrease N=56No Pain Relief N= 114Effects p (F)
Pre-IMMPRFU-IMMPRESPre-IMMPRFU-IMMPRESPre-IMMPRFU-IMMPRESGroupIMMPRGroup x IMMPR
Weight95.9±16.893.8±17.00.2398.6±16.499.0±18.60.0796.6±15.795.2±17.10.140.105 (2.289)0.078 (3.157)0.717 (0.333)
BMI33.9±4.433.0±4.30.2334.6±3.734.5±4.10.1034.1±4.233.5±4.40.140.183 (1.714)0.058 (3.644)0.669 (0.403)
PE15 (0–45)45 (0–75)0.2915 (0–45)15 (0–45)0.39b15 (0–45)15 (0–75)0.190.105 (2.28)0.001 (11.606)0.663 (0.412)
EPA75(45–225)75 (45–225)0.0175 (45–225)120 (45–225)0.19120 (45–225)120 (45–225)0.020.482 (0.734)0.014 (6.125)0.184 (1.708)
Total PA135(75–255)195 (105–307)0.18120 (45–225)210 (75–300)0.35a127 (75–315)187 (75–311)0.150.811 (0.21)<0.001 (15.307)0.142 (1.976)
HADS-A8.3±4.15.3±3.50.74b10.7±4.6c8.4±4.2d0.63b8.8±4.88.1±4.9d0.170.019 (4.076)<0.001 (38.454)0.003 (6.094)
HADS-D8.0±3.33.9±3.20.97b10.5±3.97.8±4.3d0.70b9.2±4.77.9±4.7d0.30b0.046 (3.137)<0.001 (51.824)0.014 (4.393)
ISI15.0±6.78.8±5.50.86b18.3±6.5c14.6±7.2d0.68b15.9±6.315.1±7.3d0.140.149 (1.925)<0.001 (33.642)<0.001 (8.56)
PCS24.2±10.113.2±8.11.21b26.9±10.921.1±10.3d0.61b24.4±10.520.2±12.6d0.48b0.261 (1.354)<0.001 (77.754)0.004 (5.775)
Rand-36 PCS35.9±14.957.5±19.30.93b25.9±11.9d33.1±13.4d0.59b32.1±14.937.4±18.2d0.37b<0.001 (10.08)<0.001 (61.523)<0.001 (14.031)
Rand-36 MCS46.2±19.969.3±18.30.90b33.0±17.0d46.3±18.8d0.70b43.7±19.248.4±23.2d0.170.001 (7.186)<0.001 (56.596)<0.001 (8.190)

Notes: All significant values are given in bold. Mean ± SD or Median (q1–q3). Significant differences between Pre- and FU-IMMPR within groups: ap < 0.05 and bp < 0.01; Significant differences between groups compared to Group 1 (pain relief ≥ 30% NRS decrease): cp < 0.05 and dp < 0.01; linear mixed regression examined the effects of group (Group 1 to 3), IMMPR (Pre- and FU), and Group x IMMPR adjusted for socio-demographics (age, gender, place of birth, education, and work/study), change of pain intensity, and pain regional index (PRI).

Abbreviations: PE, physical exercise; EPA, everyday physical activity; PA, physical activity; HAD, Hospital Anxiety and Depression Scale; HAD-A, subscale anxiety; HAD-D, subscale depression; ISI, insomnia severity index; PCS, Pain Catastrophizing Score; Rand-36 PCS, physical heath composites; RAND-36 MCS, mental health composites; ES, effect size.

Changes in Weight, Physical Activity, and Psychological Variables and HRQoL as an Effect of IMMPR Notes: All significant values are given in bold. Mean ± SD or Median (q1–q3). Significant differences between Pre- and FU-IMMPR within groups: ap < 0.05 and bp < 0.01; Significant differences between groups compared to Group 1 (pain relief ≥ 30% NRS decrease): cp < 0.05 and dp < 0.01; linear mixed regression examined the effects of group (Group 1 to 3), IMMPR (Pre- and FU), and Group x IMMPR adjusted for socio-demographics (age, gender, place of birth, education, and work/study), change of pain intensity, and pain regional index (PRI). Abbreviations: PE, physical exercise; EPA, everyday physical activity; PA, physical activity; HAD, Hospital Anxiety and Depression Scale; HAD-A, subscale anxiety; HAD-D, subscale depression; ISI, insomnia severity index; PCS, Pain Catastrophizing Score; Rand-36 PCS, physical heath composites; RAND-36 MCS, mental health composites; ES, effect size. Body weight for the three categories of pain relief. The boundary of the box closest to zero indicates the 25 th percentile, a black line within the box marks the median, and the boundary of the box farthest from zero indicates the 75 th percentile. Whiskers above and below the box indicate the error bars (95% confidence intervals). Mild outliers are marked with a circle (O) and extreme outliers are marked with an asterisk (*).

Relationship Between the Improvements at IMMPR and Weight Changes

Change in body weight only positively correlated with change in PCS (Spearman’s rho = 0.173) (Table 5). Change of pain intensity had weak correlations (Spearman’s rho = 0.26–0.35) with improvements in some psychological profiles as well as HRQoL, but change of pain intensity did not correlate with weight change, other pain aspects, nor changes in the amount of physical activities (Table 5).
Table 5

Spearman Correlations of Changes in Body Weight, Pain Intensity, and Other Outcomes After IMMPR

VariablesΔ Body WeightΔ Pain Intensity (NRS-7d)
Δ Body Weight-0.095
Δ Pain intensity (NRS-7d)0.095-
Pain duration, days−0.069−0.004
Pain-persistent- duration−0.048−0.023
Pain Region Index−0.062−0.065
Δ Physical exercise time per week−0.090−0.122
Δ Everyday PA time per week−0.101−0.074
Δ Total PA time per week−0.102−0.124
Δ HADS-Anxiety−0.0160.284b
Δ HADS-Depression−0.0350.260b
Δ Insomnia Severity Index−0.0380.318b
Δ Pain Catastrophizing Score0.173a0.258b
Δ Rand-36 PCS−0.054−0.343b
Δ Rand-36 MCS0.028−0.351b

Notes: Δ = difference between Pre-IMMPR and FU-IMMPR. ap < 0.05, bp < 0.01.

Abbreviations: PA, physical activity; HAD, Hospital Anxiety and Depression Scale; HAD-A, subscale anxiety; HAD-D, subscale depression; Rand-36 PCS, physical heath composites; RAND-36 MCS, mental health composites.

Spearman Correlations of Changes in Body Weight, Pain Intensity, and Other Outcomes After IMMPR Notes: Δ = difference between Pre-IMMPR and FU-IMMPR. ap < 0.05, bp < 0.01. Abbreviations: PA, physical activity; HAD, Hospital Anxiety and Depression Scale; HAD-A, subscale anxiety; HAD-D, subscale depression; Rand-36 PCS, physical heath composites; RAND-36 MCS, mental health composites. Compared to the group with pain relief of clinical importance, the other two groups had significantly higher psychological distress (HADS-A, HADS-D, ISI, and PCS) and lower HRQoL (Rand 36) at FU-IMMPR (Table 4). The group differences at Pre-IMMPR were only noted in HADS-A, ISI, and the two summary scores of Rand 36. Within each group of different pain relief levels, significant differences (small to large ES) were noted after IMMPR in the improvement of physical activity, psychological distress, and HRQoL. The group with pain relief of clinical importance had greater improvements (larger ES) than the other two groups except the change of total PA time. Linear mixed regression analysis showed significant effects of IMMPR (F = 6.13~77.75, p < 0.01) on improvements of physical activity, psychological distress, and HRQoL (Table 4). After adjustment for background variables, changes of pain intensity, and pain distribution, the significant changes among the groups due to IMMPR were shown in psychological distress as well as HRQoL (Group x IMMPR interactions, F =4.39~14.03, p < 0.05). However, there were no significant effects of group, IMMPR, or Group x IMMPR factor interaction on weight change or BMI change.

Discussion

To the best of our knowledge, this is the first study reporting body weight changes after IMMPR for chronic pain patients with comorbid obesity in pain rehabilitation clinics. The current IMMPR had improvements in many aspects (ie, pain intensity, physical exercises, psychosocial well-beings, and HRQoL) but was not always effective in weight reduction for patients with obesity. As with the previous studies,15,46,47 we are aware that it is difficult to target obesity and chronic pain simultaneously. Since emerging evidence suggests weight reduction can alleviate pain and pain-related functional impairment,48,49 a more integrated program with a goal of weight loss should be considered in pain rehabilitation for obese patients.

Did Obese Patients Lose Weight After IMMPR?

No statistically significant difference in weight change or BMI change was found at FU-IMMPR among the obese patients. However, about one-fifth of the obese patients had achieved weight reduction of clinical significance at FU-IMMPR despite the fact that weight reduction is not considered a main goal in IMMPR. Our study had fewer weight losers compared to studies assessing traditional weight management programs.4,5 In addition to a relative lower baseline BMI than the patients included in weight management programs, one pronounced difference in our study was that our patients had more severe pain aspects, such as high baseline pain intensity, widespread pain distribution, and long persistent pain duration. Reduction of pain intensity was statistically significant at FU-IMMPR among the obese patients. However, there were no significant weight changes in obese patients who reported reduction of pain nor in obese patients who did not report reduction of pain, findings that suggest that pain reduction was unrelated to weight reduction. Within each pain relief level, no significant weight change was evident. Obesity modulates pain in several ways, such as through mechanical loading,50 proinflammatory cytokines,51,52 and psychological strain.53,54 Previous qualitative studies demonstrate that obese patients are aware of the relationship between chronic pain and their weight problem.16,47 Simultaneous improvement should be expected when either condition is treated. However, a recent systematic review demonstrated a trivial relationship of weight loss and pain relief after completing a weight management program.15 This study quantified the effects of weight reduction interventions on both weight loss and pain relief for patients with these two comorbidities. As with these previous studies, our findings showed no significant overall relationship between weight loss and pain relief after IMMPR in obese patients with chronic pain. Moreover, we were unable to correlate weight change with other measured improvements after IMMRP at follow-up (Table 5). Together with the previous studies’ results about weight management services, our findings suggest future pain rehabilitation programs should incorporate both weight reduction and pain interventions for patients with the two comorbidities.

Relationship Between Weight Change and Other Improvements After IMMPR

Other factors closely related to weight control – eg, physical activity behaviour, psychological distress, and HRQoL – were significantly improved in the obese patients at FU-IMMPR. Most notably, regardless of the level of pain relief, the obese patients had significant improvements in depression, pain catastrophizing, and physical health. These results suggest that IMMPR can help obese patients address their weight management challenges (inactive lifestyle, increased eating, etc.).2,6,16,55–57 Significant effects of interactions of Group x IMMPR reflected that IMMPR and pain relief levels affected improvements in psychological distress and HRQoL. However, the varied improvements of physical activity behaviour among the groups confirm the complexity of the impacts on this lifestyle behaviour.32 As adherence to exercise is difficult for obese people,9 perhaps healthcare providers need access to interventions other than those included in current IMMPR to improve physical activity and weight control for obese patients.

Clinical Implications and Future Research

Since obesity is a risk factor for developing chronic pain and vice versa,8,9 a routine screening of the weight status and obesity-related medical conditions is included in pain rehabilitation practices. The complex clinical presentation of disabling pain indicates that no one intervention, either pharmacological/surgical or non-pharmacological, can tackle the consequences of chronic pain, such as sick leave, experiencing major interference in daily life, and chronic disability. The need for simultaneous treatment of obesity and pain has already been highlighted.46,48 Unlike weight management programs, an interdisciplinary rehabilitation team of IMMPRs typically do not include a dietitian, an essential resource for patients who need help with weight control. Dietary intervention is crucial for weight loss, weight maintenance, and pain relief.47,49,58 A future integrated pain rehabilitation program should consider this aspect for patients with comorbid obesity. Second, scheduled daily physical activities can be encouraged before making great efforts to increase physical exercises.59 Third, psychological intervention on eating behaviour should be considered as much evidence has shown significant influences of pain inducing greater energy intake.7 Interventions that target weight reduction in pain rehabilitation may increase the possibility of weight changes, and this can affect the association to pain relief. Well-designed and high-quality RCTs are needed to examine whether one or more interventions integrated with IMMPR can simultaneously reduce pain and weight. Moreover, future IMMPR research on specific patient categories based on pain conditions (eg, fibromyalgia and low back pain) is particularly valuable due to the large populations in primary care as well as in community dwellings. This study has several limitations. Although we used a feasible dataset registered for pain rehabilitation clinics, we did not have information about whether the patients received other weight management interventions during the follow-up period (12 months after IMMPR completed). Second, we did not analyse pharmacological treatment on chronic pain since some medications could negatively affect weight reduction. Third, we used ISI to assess insomnia in IMMPR, but we neglected the possible influence of another pain and obesity-linked sleep disturbance – ie, obstructive sleep apnoea.60,61 It is unknown whether a lack of improvement among the patients without pain relief after IMMPR was mediated by the existing comorbidity. Fragmented sleep is common in both chronic pain and obstructive sleep apnoea.1,62 As adequate treatment of obstructive sleep apnoea may contribute to pain relief,62 obese patients should be screened for sleep apnoea and optimising interventions should be included before IMMPR.60,62 Finally, the generalisation of the study results is limited to the obese patients with complex chronic pain referred to specialist pain rehabilitation clinics. However, our findings provide a great potential to improve IMMPR in both daily clinical practice and future pain rehabilitation research.

Conclusion

About one-fifth of obese chronic patients achieved significant weight reduction after IMMPR. The current pain rehabilitation programs (IMMPRs) displayed significant improvement in many aspects (ie, pain intensity, physical activity behaviour, psychosocial distress, and HRQoL), but they were ineffective in weight reduction for the majority of patients with obesity. Especially for the patients with obesity, future IMMPRs should consider incorporating a target approach for weight management.
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Review 1.  Secretory factors from human adipose tissue and their functional role.

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4.  "The more pain I have, the more I want to eat": obesity in the context of chronic pain.

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5.  Effects of lifestyle physical activity on perceived symptoms and physical function in adults with fibromyalgia: results of a randomized trial.

Authors:  Kevin R Fontaine; Lora Conn; Daniel J Clauw
Journal:  Arthritis Res Ther       Date:  2010-03-30       Impact factor: 5.156

6.  Minimal clinically important changes in chronic musculoskeletal pain intensity measured on a numerical rating scale.

Authors:  Fausto Salaffi; Andrea Stancati; Carlo Alberto Silvestri; Alessandro Ciapetti; Walter Grassi
Journal:  Eur J Pain       Date:  2004-08       Impact factor: 3.931

Review 7.  Assessment of pain.

Authors:  H Breivik; P C Borchgrevink; S M Allen; L A Rosseland; L Romundstad; E K Breivik Hals; G Kvarstein; A Stubhaug
Journal:  Br J Anaesth       Date:  2008-05-16       Impact factor: 9.166

8.  Multidisciplinary-based Rehabilitation (MBR) Compared With Active Physical Interventions for Pain and Disability in Adults With Chronic Pain: A Systematic Review and Meta-analysis.

Authors:  Máire-Bríd Casey; Keith M Smart; Ricardo Segurado; Catherine Doody
Journal:  Clin J Pain       Date:  2020-11       Impact factor: 3.442

9.  Perceptions of adults with overweight/obesity and chronic musculoskeletal pain: An interpretative phenomenological analysis.

Authors:  Lesley Cooper; Louisa Ells; Cormac Ryan; Denis Martin
Journal:  J Clin Nurs       Date:  2018-01-24       Impact factor: 3.036

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1.  Fibromyalgia: Associations Between Fat Infiltration, Physical Capacity, and Clinical Variables.

Authors:  Björn Gerdle; Olof Dahlqvist Leinhard; Eva Lund; Ann Bengtsson; Peter Lundberg; Bijar Ghafouri; Mikael Fredrik Forsgren
Journal:  J Pain Res       Date:  2022-08-27       Impact factor: 2.832

2.  Differences in plasma lipoprotein profiles between patients with chronic peripheral neuropathic pain and healthy controls: an exploratory pilot study.

Authors:  Mika Jönsson; Emmanuel Bäckryd; Lena Jonasson; Björn Gerdle; Bijar Ghafouri
Journal:  Pain Rep       Date:  2022-09-22

3.  Fibromyalgia in women: association of inflammatory plasma proteins, muscle blood flow, and metabolism with body mass index and pain characteristics.

Authors:  Bijar Ghafouri; Emelie Edman; Marie Löf; Eva Lund; Olof Dahlqvist Leinhard; Peter Lundberg; Mikael Fredrik Forsgren; Björn Gerdle; Huan-Ji Dong
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