Examining Risk for Persistent Pain among Adults with Overweight Status

Adults with excess weight or obesity, but not with overweight, report greater pain intensities than individuals with normal weight: a systematic review and meta-analysis

Context

Over 1.9 billion adult people have overweight or obesity. Considered as a chronic disease itself, obesity is associated with several comorbidities. Chronic pain affects approximately 60 million people and its connection with obesity has been displayed in several studies. However, controversial results showing both lower and higher pain thresholds in subjects with obesity compared to individuals with normal weight and the different parameters used to define such association (e.g., pain severity, frequency or duration) make it hard to draw straight forward conclusions in the matter. The objective of this article is to examine the relationship between overweight and obesity (classified with BMI as recommended by WHO) and self-perceived pain intensity in adults.

Methods

A literature search was conducted following PRISMA guidelines using the databases CINAHL, Cochrane Library, EMBASE, PEDro, PubMed, Scopus and Web of Science to identify original studies that provide BMI values and their associated pain intensity assessed by self-report scales. Self-report pain scores were normalized and pooled within meta-analyses. The Cochrane's Q test and I2 index were used to clarify the amount of heterogeneity; meta-regression was performed to explore the relationship between each outcome and the risk of bias.

Results

Of 2194 studies, 31 eligible studies were identified and appraised, 22 of which provided data for a quantitative analysis. The results herein suggested that adults with excess weight (BMI ≥ 25.0) or obesity (BMI ≥ 30.0) but not with overweight (pre-obesity) alone (BMI 25.0-29.9), are more likely to report greater intensities of pain than individuals of normal weight (BMI 18.5-24.9). Subgroup analyses regarding the pathology of the patients showed no statistically significant differences between groups. Also, influence of age in the effect size, evaluated by meta-regression, was only observed in one of the four analyses. Furthermore, the robustness of the findings was supported by two different sensitivity analyses.

Conclusion

Subjects with obesity and excess weight, but not overweight, reported greater pain intensities than individuals with normal weight. This finding encourages treatment of obesity as a component of pain management. More research is required to better understand the mechanisms of these differences and the clinical utility of the findings.

Systematic Review Registration

https://doi.org/10.17605/OSF.IO/RF2G3, identifier OSF.IO/RF2G3.

Changes in pain, daily occupations, lifestyle, and health following an occupational therapy lifestyle intervention: a secondary analysis from a feasibility study in patients with chronic high-impact pain

OBJECTIVES

This study explored changes in pain-related parameters, occupational function, occupational balance, lifestyle factors, and self-perceived health status in adults with chronic high-impact pain participating in an occupational therapy lifestyle intervention.

METHODS

This one-group longitudinal feasibility study was performed in three continuous feasibility rounds. The occupational therapists-led intervention targeted meaningful occupations, regular physical activity, and a healthy diet. The intervention contained individual and group sessions and was added to the standard multidisciplinary chronic pain treatment. Outpatients (n=40, 85 % females, 46.6 ± 10.9 years old) participated in the study between April 2019 and December 2021. The analysis includes data for 31 participants. Analysis of pre-post changes assessed after each feasibility round were performed for the outcomes: pain intensity, pain sensitivity and pain modulation (pressure pain threshold and tolerance, temporal summation of pain and conditioned pain modulation), pain self-efficacy, pain catastrophizing, motor and process skills, occupational balance, daily wake-time movement, daily walking steps, body mass index, waist circumference, blood pressure, and self-perceived health status.

RESULTS

Improvements in motor skills (assessment of motor and process skills score=0.20 (1.37; 1.57), 95 % CI 0.01; 0.38) and temporal summation of pain (-1.19 (2.86; -1.67), 95 % CI -2.16; -0.22), but a decrease in pain tolerance (-7.110 (54.42; 47.32), 95 % CI -13.99; -0.22) were observed. Correlation analysis suggested moderate-to-very strong statistically significant relationships in several outcomes related to pain, health, pain coping, occupational balance, occupational functioning, body anthropometrics, and pain sensitivity.

CONCLUSIONS

This study suggested that the lifestyle intervention would benefit motor skills while effects on other outcomes were unclear in adults with chronic pain. To confirm the findings, a randomized trial evaluating effectiveness is needed. Ethical committee number: SJ-307 Reg. Clinicaltrials.gov: NCT03903900.

Lean Mass is Associated with, but Does Not Mediate Sex Differences in Pressure Pain Sensitivity in Healthy Adults

Background

Sex differences exist in pain sensitivity, however, the underlying mechanism(s) that explain these differences are not fully understood. Pain sensitivity has been shown to be influenced by body mass index, but limited data exist on the role of body composition on pain sensitivity. The purpose was to examine the influence of body composition on pain sensitivity in males and females.

Methods

This cross-sectional study design used pressure pain thresholds (PPT) of 87 participants (45 female) who were assessed in the vastus lateralis (leg PPT) and brachioradialis (arm PPT) using a pressure algometer. Fat and lean tissue were assessed via dual-energy X-ray absorptiometry (DXA). A two group by two limb, repeated measured ANOVA was used to assess differences between limbs and sex. Spearman correlations and hierarchical regression analyses were employed to determine the association between body composition and PPT.

Results

Males had higher PPTs then females (P<0.05) and had higher DXA assessed lean and lower levels fat mass (P<0.05). Total body and limb specific lean mass was associated with PPTs (r≥0.34; P<0.05). Hierarchical regression analysis revealed lean mass was a significant predictor of 8% of the variance in arm PPT (P<0.006) and 18% of the variance in leg PPT (P<0.001). However, lean mass was not found to statistically mediate the observed sex differences in PPT.

Conclusion

This finding suggests lean mass may play a previously unknown role in sex differences in pressure pain sensitivity. Future studies are needed to confirm this finding and a larger sample size is likely required to have sufficient power to perform the mediation analysis.

The effects of body mass index on postoperative pain in patients undergoing thoracic paravertebral block after video-assisted thoracoscopic surgery: A retrospective analysis

Aim: Postoperative pain is an important problem in patients undergoing video-assisted thoracic surgery (VATS). Thoracic paravertebral block (TPVB) is among the commonly used techniques for pain control after VATS. Despite the analgesic methods applied, the desired level of pain control can not be achieved in all patients. Therefore, clinicians and researchers are interested in factors affecting postoperative pain. One factor is the relationship between postoperative pain and body mass index (BMI). Although it has been reported that acute or chronic pain is more common in the general population with a BMI, the relationship between postoperative pain and BMI is still controversial. This study aims to investigate the effects of BMI on postoperative pain in patients who underwent TPVB in the treatment of pain after VATS. Material and Method: Patients who had elective VATS and TPVB were included in the study. Patients who underwent TPVB with ultrasonography (USG) and postoperative intravenous (iv) morphine patient-control-analgesia (PCA) for postoperative analgesia were divided into three groups according to BMI. Group-I BMI: 18-24.99 kg/m2, Group-II BMI: 25-29.9 kg/m2, Group-III BMI: 30-40 kg/m2. Results: 146 patients were included in the study. There was no significant difference between the postoperative 30th minute, 1st hour, 6th hour, 12th hour, and 24th-hour VAS values of the patients in Group-I, Group-II, and Group-III. There was no statistically significant difference in terms of morphine consumption, additional analgesic requirement, and complications in all three groups. Conclusion: It was determined that there was no relationship between BMI and postoperative pain scores in the first 24 hours in patients who underwent TPVB after VATS. In addition, it was determined that postoperative morphine consumption and additional analgesic needs were not associated with BMI. Effective pain control can be achieved in all patients, regardless of BMI, with effective peripheral nerve blocks and analgesics using practical imaging techniques such as USG.

Body Composition does not influence Conditioned Pain Modulation and Exercise Induced Hyperalgesia in Healthy Males and Females

BACKGROUND

Obese individuals report a higher susceptibility to chronic pain. Females are more likely to have chronic pain and excess adipose tissue. Chronic pain is associated with dysfunctional pain modulatory mechanisms. Body composition differences may be associated with pain modulation differences in males and females. The purpose of this study was to investigate body composition (lean vs fat mass) differences and pain modulatory functioning in healthy males and females.

METHODS

Pressure pain thresholds (PPT) of 96 participants (47M; 49F) were assessed in both arms and legs before and after a double footed ice bath (2°C) for 1min and an isometric knee extension, time to failure task. The difference between post and pre measures was defined conditioned pain modulatory (CPM) response (ice bath) and exercise induced hypoalgesia (EIH) response. Whole body and site-specific fat and lean tissue were assessed via DXA scan.

RESULTS

Sex differences were found in whole body lean mass (61.5±6.7kg vs 41.2±5.4kg; P<0.001) but not fat mass amount (17.2±10.5kg vs 21.0±9.7kg; P=0.068). No effect of sex was found between limb CPM (P=0.237) and limb EIH (P=0.512). When controlling for lean mass there was no significant effect of sex on CPM (P=0.732) or EIH (P=0.474) response. Similar findings were found for fat mass.

CONCLUSION

The lack of difference suggests that males and females have similar modulatory functioning. It appears that in healthy adults free from chronic pain, neither fat mass nor lean mass has an influence on endogenous pain modulatory function.

Chronic pain and depressive symptoms are related to food insecurity among urban food bank users

BACKGROUND

Food bank users suffer high food insecurity. Food insecurity increases risk for chronic health conditions. However, chronic pain and its relation to food insecurity among food bank users is unknown. Knowledge about populations with chronic pain is important to direct appropriate public health nutritional strategies.

METHODS

Participants completed a survey including sleep, pain, depressive symptoms and food insecurity measures. Descriptive statistics characterized the burden of chronic pain among the sample, and a series of chi-square and t-tests assessed for demographic differences between food bank users who reported pain compared to those who did not. Logistic regression tested for variables predicting food insecurity.

RESULTS

Within the sample (N = 207), 53% reported a chronic pain diagnosis. Adults with pain were more likely to receive food stamps and to have a mental health condition than those without pain. Regression analyses revealed that depressive symptoms and chronic pain significantly predicted food insecurity when controlling for age and gender.

CONCLUSIONS

Exploring the link between depression, pain and nutritional resources may enhance understanding of causal relationships driving food insecurity. Public health officials should address nutritional needs of adults including those with chronic pain who use food bank services.

Diet, body weight and pain susceptibility - A systematic review of preclinical studies

•

Obesity has been associated with increased susceptibility to chronic pain.

•

Dietary and genetic models of obesity have been used to study this association.

•

Allodynia is a common finding but alterations in nociception were inconsistent across studies.

•

In subacute/chronic models, nocifencive behaviors were increased and/or sustained.

•

Reviewed studies are overall consonant with the clinical literature.

Obesity has been associated with increased chronic pain susceptibility but causes are unclear. In this review, we systematize and analyze pain outcomes in rodent models of obesity as these can be important tools for mechanistic studies. Studies were identified using MEDLINE/PubMed and Scopus databases using the following search query: (((pain) OR (nociception)) AND (obesity)) AND (rat OR (mouse) OR (rodent))). From each eligible record we extracted the following data: species, strain, sex, pain/obesity model and main behavioral readouts. Out of 695 records 33 were selected for inclusion. 27 studies assessed nociception/acute pain and 17 studies assessed subacute or chronic pain. Overall genetic and dietary models overlapped in pain-related outcomes. Most acute pain studies reported either decreased or unaltered responses to noxious painful stimuli. However, decreased thresholds to mechanical innocuous stimuli, i.e. allodynia, were frequently reported. In most studies using subacute and chronic pain models, namely of subcutaneous inflammation, arthritis and perineural inflammation, decreased thresholds and/or prolonged pain manifestations were reported in obesity models. Strain comparisons and longitudinal observations indicate that genetic factors and the time course of the pathology might account for some of the discrepancies observed across studies. Two studies reported increased pain in animals subjected to high fat diet in the absence of weight gain. Pain-related outcomes in experimental models and clinical obesity are aligned indicating that the rodent can be an useful tool to study the interplay between diet, obesity and pain. In both cases weight gain might represent only a minor contribution to abnormal pain manifestation.

Cross-Sectional Study of Prevalence, Characterization and Impact of Chronic Pain Disorders in Workers

Chronic pain prevention and treatment constitute a challenge for occupational health The aim of this study was to provide data on workers in a variety of jobs and multiple contexts to determine the prevalence and characteristics of different chronic pain disorders, in view to highlighting possible new targets for preventive actions. 1,008 participants working in 14 French IKEA stores were analyzed in this observational study on the basis of their responses to surveys on their sociodemographic characteristics, psychosocial factors, lifestyle, and pain disorders. The prevalence of chronic pain, moderate-to-severe chronic pain and high-impact chronic pain were 49%, 30%, and 11%, respectively. Chronic pain was predominantly located in the neck and back, and identified mostly as nociceptive, with, for some participants, a neuropathic component (mixed pain). The majority of chronic pain was reported as being due to professional activity, and causing at least one work stoppage during the past year in half of the participants. Jobs that were the most common sources of chronic pain were those with a higher proportion of repetitive gestures, no consecutive days of rest, stress at work, such as cash-register/catering jobs. Overall, this study highlighted profiles at risk of developing or suffering from chronic pain, and several associated factors: ≥40 years old, female sex, overweight/obesity, repetitive gestures, no consecutive days of rest, stress, catastrophism, workplace environment, poor quality of life, and mental state. In conclusion, these data give interesting information on the characteristics of workers with chronic pain and highlight profiles of participants. Perspective: This study provides important information about the features of chronic pain in a model of a working population of Western countries. This information can be used to propose preventive actions.

BMI influences relationships among health factors for adults with persistent pain who use prescription opioids

BACKGROUND

Long-term use of prescription opioids for pain results in negative health outcomes. Overweight and pain are related, and adults with either condition commonly report poor sleep quality, high levels of depression, low levels of self-efficacy, and high pain interference and intensity. Insufficient research exists regarding how weight may influence pain outcomes in the context of common symptoms.

PURPOSE

To investigate how body mass index (BMI) influences relationships between health factors and pain outcomes among adults with pain prescribed opioids.

METHODS

The sample included 226 adults. Linear regression models tested relationships among variables and outcomes of pain intensity and pain interference.

FINDINGS

BMI significantly strengthened relationships between health factors and pain interference but not pain intensity.

DISCUSSION

Adults with persistent pain suffer worsened pain interference in the context of increased weight status. Nurses should consider addressing BMI as part of a holistic pain management care plan.

Weight Gain Trajectory and Pain Interference in Young Adulthood: Evidence from a Longitudinal Birth Cohort Study

OBJECTIVE

Obesity is associated with chronic pain, but the contribution of body mass index (BMI) trajectories over the life course to the onset of pain problems remains unclear. We retrospectively analyzed how BMI trajectories during the transition to adulthood were associated with a measure of pain interference obtained at age 29 in a longitudinal birth cohort study.

METHODS

Data from the National Longitudinal Survey of Youth, 1997 Cohort (follow-up from 1997 to 2015), were used to determine BMI trajectories from age 14 to 29 via group trajectory modeling. At age 29, respondents described whether pain interfered with their work inside and outside the home over the past four weeks (not at all, a little, or a lot). Multivariable ordinal logistic regression was used to evaluate pain interference according to BMI trajectory and study covariates.

RESULTS

Among 7,875 respondents, 11% reported "a little" and 4% reported "a lot" of pain interference at age 29. Four BMI trajectory groups were identified, varying in starting BMI and rate of weight gain. The "obese" group (8% of respondents) had a starting BMI of 30 kg/m2 and gained an average of 0.7 kg/m2/y. On multivariable analysis, this group was the most likely to have greater pain interference, compared with "high normal weight" (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.14-1.88), "low normal weight" (OR = 1.45, 95% CI = 1.13-1.87), and "overweight" trajectories (OR = 1.33, 95% CI = 1.02-1.73).

CONCLUSIONS

Obesity and rapid weight gain during the transition to adulthood were associated with higher risk of pain interference among young adults.

Predicting Factors of Pain Duration in Patients with Chronic Pain: A Large Population-based Study

Background

Chronic pain is the third main problem of global health and the most common cause of long-term disabilities. The duration that patients suffer from chronic pain is directly proportional to the extent of the suffering and to the amount of health care resources allocated to this problem. There is no research that has studied the risk factors associated with the long pain duration in chronic pain patients.

Methods

We investigated the potential risk factors associated with long pain duration in a population with diverse pain conditions in a cross-sectional study. We used a questionnaire that included a number of potential risk factors including sex, age, marital status, household condition, number of children, employment, education, body mass index (BMI), pain intensity, and the level of anxiety/depression. The data were analyzed by univariable and multivariable linear regression models.

Results

We recruited 780 patients. The analyses showed that age and abnormal BMI had a positive correlation with pain duration.

Conclusions

The risk factors that might be associated with longer pain duration include older age and abnormal BMI.