The association between daily physical exercise and pain among women with fibromyalgia: the moderating role of pain catastrophizing

Exploring the effects of fitbit incentive on treatment outcomes in veterans undergoing intensive pain rehabilitation program

OBJECTIVE

This study compares clinical pain outcomes between patients in a pain treatment program that received a Fitbit, to patients that did not. We also explored: (1) cognitive, emotional, and psychological factors that may have impacted the decision to opt in to receiving a Fitbit; and (2) whether the choice to receive a Fitbit impacted changes in cognitive, emotional, and psychological factors following treatment.

METHODS

Among 58 patients in a multidisciplinary pain treatment program at a Veterans Affairs Healthcare System hospital, 31 patients opted to receive a Fitbit as adjunct treatment, while 27 did not. This study utilized patient-reported and practitioner-collected data from the pain treatment program.

RESULTS

Compared to the non-Fitbit group, the Fitbit group displayed a significant decrease in average pain intensity, however showed no correlation between Fitbit activity and average pain intensity. Additionally, treatment satisfaction was the only predictor of treatment group, when modeling pre- and post-treatment outcomes changes.

CONCLUSION

The implementation of a Fitbit may lead to improved pain intensity. Initial evidence suggests that opting to receive a Fitbit during a pain treatment program indicates treatment engagement leading to greater treatment satisfaction. Future work is needed to verify and expand upon this potential mechanism.

Physical activity correlates in people with fibromyalgia: a systematic review

PURPOSE

Understanding the enablers of and barriers to physical activity (PA) participation in people with fibromyalgia (PwF) is an essential first step to developing effective PA interventions. This systematic review examined correlates of PA across the socio-ecological model (i.e., intra-personal, inter-personal, environmental, and policy level) in PwF.

MATERIALS AND METHODS

PubMed, Embase, and CINAHL were searched from inception until 12 July 2022. Keywords included "physical activity" or "exercise" and "fibromyalgia" or "fibrositis." Summary coding was used to quantify the PA correlates.

RESULTS

Out of 74 PA correlates retrieved from 39 articles (n = 9426), co-morbid depression and higher pain intensity were found to be consistent (i.e., reported in four or more articles) barriers to PA in PwF, while higher self-efficacy and better endurance were found to be consistent enablers to PA. Despite the abundance of evidence for the PA benefits for PwF, we only found consistent evidence for PA correlates at the intrapersonal level.

CONCLUSIONS

Health professionals should consider mental and physical health barriers when promoting PA in PwF. There remains a need to better understand social, environmental, and policy-related factors associated with PA participation in PwFImplications for rehabilitationCo-morbid depression is a notable barrier to physical activity participation in people with fibromyalgia.Experienced pain intensity should be considered as a barrier when promoting physical activity for people with fibromyalgia.Rehabilitation professionals should facilitate self-efficacy in physical activity interventions for people with fibromyalgia.Rehabilitation professionals should promote endurance when motivating people with fibromyalgia towards an active lifestyle.

Physical activity levels among people with fibromyalgia: A systematic review and meta-analysis

INTRODUCTION

It is unclear how much physical activity (PA) people with fibromyalgia (PwF) engage in. We conducted a meta-analysis to examine PA levels in PwF and compared levels with age- and gender-matched controls and between objective and subjective assessments.

METHODS

Embase, PubMed and CINAHL Plus were searched by two independent reviewers from inception till 3 January 2023 using the keywords: 'fibromyalgia' OR 'fibrositis' AND 'physical activity' OR 'exercise' OR 'sports'. A random effects meta-analysis adjusting for publication bias was conducted.

RESULTS

Across 22 studies, there were 5997 (5956 women) PwF (median age = 44 years). After trim and fill adjustment, PwF spent a mean of 4.0 (95% CI = 2.3-5.8) min/day in vigorous PA, 67.5 (95% CI = 35.4-99.6) min/day in moderate intensity PA and 270.5 (95% CI = 99.6-441.4) min/day in light PA. Only 37.7% (95% CI = 18.7-61.5) of PwF achieved the public PA recommendation of 150 min of moderate to vigorous PA per week. PwF walked 5663.7 (95% CI = 4493.5-6833.9) steps per day, which is below the 6000 steps per day recommendation. PwF spent 39.0 min/day (95% CI = 22.8-55.1, p < 0.001) less in PA than healthy controls, while MET-minutes per week is 1324.7 (95 % CI = 237.6-2411.7, p = 0.017) lower. There were no significant differences between subjective and objective PA assessments (p = 0.69).

CONCLUSION

Our data demonstrate that the majority of PwF are still insufficiently physically active to obtain significant health benefits. Future clinical PA interventions specifically targeting the prevention of physical inactivity in PwF and engaging physically inactive PwF to become physically active are warranted.

Characteristics Associated with Self-Reported Exercise among US Adults Age ≥50 Years with Self-Reported Pain in the Past Four Weeks Who Used an Opioid

The number of older adults in the United States is growing, alongside the number of older adults experiencing some sort of pain and using opioids. Exercise is an important pain management and pain prevention strategy. However, little is known about the factors associated with exercise among United States adults ≥50 years old with pain who use opioids. This retrospective cross-sectional database study aimed to identify characteristics associated with self-reported frequent exercise (moderate- to vigorous-intensity exercise ≥30 min five times a week) in United States adults ≥50 years old with pain in the past four weeks who had also used an opioid. The study used 2020 Medical Expenditure Panel Survey data and logistic regression models. Analyses maintained the structure of the complex survey data and were weighted to obtain nationally representative estimates. Significantly associated variables with frequent exercise in the fully adjusted analysis included being aged 60-69 (versus ≥80 years, adjusted odds ratio [AOR] = 2.3, 95% confidence interval [CI] = [1.1-5.1]), having excellent/very good/good (versus fair/poor) self-perceived health (AOR = 2.4, 95% CI = [1.3-4.2]), normal/underweight (versus obese (AOR = 2.1, 95% CI = [1.1-3.9])), overweight (versus obese (AOR = 1.7, 95% CI = [1.0-2.9])), and having little (versus extreme) pain (AOR = 2.4, 95% CI = [1.0-5.7]). A secondary finding was that 35.7% considered themselves frequent exercisers, while the remaining 64.3% did not consider themselves frequent exercisers. In future, these findings can be used to personalize pain management strategies and encourage greater levels of exercise among this population.

The paradox of wellbeing: what happens among women with fibromyalgia? The effect of cognitive fusion

OBJECTIVE

Our study examined the 'paradox of wellbeing' among women with fibromyalgia and the role of cognitive fusion on wellbeing in relation to age.

METHODS

A total of 228 women diagnosed with fibromyalgia according to the American College of Rheumatology criteria were included. In order to explore the conditional effects of age in the moderation analyzes, as recommended in the PROCESS Macro, the 16th, 50th, and 84th percentiles were calculated. These percentiles define three age groups that we will call younger (from 30 to 53 years), middle-aged (from 54 to 60 years) and older women (from 61 to 78 years).

RESULTS

We found a 'paradox of wellbeing' among fibromyalgia patients which has not yet been reported: the older the patients, the higher scores on hedonic (positive affect) and eudaimonic (activities engagement) wellbeing. A moderation effect of age was found in the relationship between cognitive fusion and wellbeing (cognitive fusion showed negative associations with positive affect and activities engagement but not among older patients).

CONCLUSION

Our study underscores the need of personalized interventions for fibromyalgia patients to improve their wellbeing. Especially in younger and middle-aged patients, it would be of interest interventions in cognitive defusion through Acceptance and Commitment Therapy (ACT).

Catastrophizing as a prognostic factor for pain and physical function in the multidisciplinary rehabilitation of fibromyalgia and low back pain

BACKGROUND

Quantitative data on longitudinal associations between catastrophizing and pain or physical function are patchy. The study aimed to quantify the prognostic value of catastrophizing for pain and function in fibromyalgia and low back pain before and after rehabilitation.

METHODS

The associations of state and change on the Multidimensional Pain Inventory (MPI) Pain severity scale, the Short Form 36 (SF-36) Physical functioning scale, and the Six-Minute Walking Distance (6MWD) with the Coping Strategies Questionnaire (CSQ) Catastrophizing scale were quantified by multiple regression modeling to adjust for confounders.

RESULTS

Sex- and age matched cohorts (n=71 each) were compared. Pain and catastrophizing were worse in fibromyalgia than in low back pain, whereas the function levels were comparable. Baseline catastrophizing predicted pain change by adjusted correlations of 0.552 (fibromyalgia) and 0.450 (low back pain), self-rated function by 0.403 and 0.308, and the 6MWD by 0.270 and -0.072. The change in catastrophizing was associated to the change in pain by 0.440 (fibromyalgia) and 0.614 (low back pain), self-rated function by 0.122 and 0.465, and the 6MWD by 0186 and 0.162.

CONCLUSIONS

Catastrophizing (pain-related worrying) was a potential prognostic factor, especially for pain and somewhat less for self-rated physical function but it was only weakly predictive for the walking distance in both conditions, independently of potential confounders, such as sex, age, baseline severity and others. Reduction of maladaptive coping should be integrated into the management of chronic pain.

Pain-Related Worrying and Goal Preferences Determine Walking Persistence in Women with Fibromyalgia

Physical activity and exercise are relevant behaviors for fibromyalgia health outcomes; however, patients have difficulties undertaking and maintaining an active lifestyle. With a cross-sectional design, this study explored the role of pain-related worrying and goal preferences in the walking persistence of women with fibromyalgia. The sample included 111 women who attended a tertiary health setting. We adapted the Six-Minute Walk Test where participants decided either to stop or continue walking in five voluntary 6 min bouts. Women who were categorized higher in pain-related worrying reported higher preference for pain avoidance goals (t = -2.44, p = 0.02) and performed worse in the walking task (LongRank = 4.21; p = 0.04). Pain avoidance goal preference increased the likelihood of stopping after the first (OR = 1.443), second (OR = 1.493), and third (OR = 1.540) 6 min walking bout, and the risk of ending the walking activity during the 30 min task (HR = 1.02, [1.0-1.03]). Influence of pain-related worrying on total walking distance was mediated by goal preferences (ab = -3.25). In interventions targeting adherence in physical activity and exercise, special attention is needed for women who are particularly worried about pain to help decrease their preference for short-term pain avoidance goals relative to long-term goals such as being active through walking.

The Impact of Wearable Technologies in Health Research: Scoping Review

Background

Wearable devices hold great promise, particularly for data generation for cutting-edge health research, and their demand has risen substantially in recent years. However, there is a shortage of aggregated insights into how wearables have been used in health research.

Objective

In this review, we aim to broadly overview and categorize the current research conducted with affordable wearable devices for health research.

Methods

We performed a scoping review to understand the use of affordable, consumer-grade wearables for health research from a population health perspective using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) framework. A total of 7499 articles were found in 4 medical databases (PubMed, Ovid, Web of Science, and CINAHL). Studies were eligible if they used noninvasive wearables: worn on the wrist, arm, hip, and chest; measured vital signs; and analyzed the collected data quantitatively. We excluded studies that did not use wearables for outcome assessment and prototype studies, devices that cost >€500 (US $570), or obtrusive smart clothing.

Results

We included 179 studies using 189 wearable devices covering 10,835,733 participants. Most studies were observational (128/179, 71.5%), conducted in 2020 (56/179, 31.3%) and in North America (94/179, 52.5%), and 93% (10,104,217/10,835,733) of the participants were part of global health studies. The most popular wearables were fitness trackers (86/189, 45.5%) and accelerometer wearables, which primarily measure movement (49/189, 25.9%). Typical measurements included steps (95/179, 53.1%), heart rate (HR; 55/179, 30.7%), and sleep duration (51/179, 28.5%). Other devices measured blood pressure (3/179, 1.7%), skin temperature (3/179, 1.7%), oximetry (3/179, 1.7%), or respiratory rate (2/179, 1.1%). The wearables were mostly worn on the wrist (138/189, 73%) and cost <€200 (US $228; 120/189, 63.5%). The aims and approaches of all 179 studies revealed six prominent uses for wearables, comprising correlations—wearable and other physiological data (40/179, 22.3%), method evaluations (with subgroups; 40/179, 22.3%), population-based research (31/179, 17.3%), experimental outcome assessment (30/179, 16.8%), prognostic forecasting (28/179, 15.6%), and explorative analysis of big data sets (10/179, 5.6%). The most frequent strengths of affordable wearables were validation, accuracy, and clinical certification (104/179, 58.1%).

Conclusions

Wearables showed an increasingly diverse field of application such as COVID-19 prediction, fertility tracking, heat-related illness, drug effects, and psychological interventions; they also included underrepresented populations, such as individuals with rare diseases. There is a lack of research on wearable devices in low-resource contexts. Fueled by the COVID-19 pandemic, we see a shift toward more large-sized, web-based studies where wearables increased insights into the developing pandemic, including forecasting models and the effects of the pandemic. Some studies have indicated that big data extracted from wearables may potentially transform the understanding of population health dynamics and the ability to forecast health trends.