Pain and fatigue are longitudinally and bi-directionally associated with more sedentary time and less standing time in rheumatoid arthritis

Levels of sedentary behaviour in people with fibromyalgia: a systematic review and meta-analysis

PURPOSE

Sedentary behaviour is associated with pain, fatigue, and a more severe impact of the disease in fibromyalgia, independently of physical activity levels. Despite this knowledge, little attention has been attributed to estimate sedentary behaviour in this population. The aims of this meta-analysis were to: (a) establish the pooled mean time spent sedentary, (b) investigate moderators of sedentary levels, and (c) explore differences with age- and gender-matched general population controls in people with fibromyalgia (PwF).

METHODS

Two independent authors searched major databases until 1 December 2022. A random effects meta-analysis was performed. The methodological quality of included studies was assessed with the Quality Assessment Tool for Observational Cohort and Cross-sectional Studies.

RESULTS

Across 7 cross-sectional studies of fair methodological quality, there were 1500 patients with fibromyalgia (age range = 43-53 years). PwF spent 545.6 min/day (95% CI = 523.7-567.5, p < 0.001, N = 3) engaging in sedentary behaviour. Self-reported questionnaires overestimate sedentary levels with 314.3 min/day (95% CI = 302.0-326.6, p = 0.001, N = 2). PwF spent 36.14 min/day (95% CI = 16.3-55.9, p < 0.001) more in sedentary behaviour than general population controls.

CONCLUSIONS

PwF are more sedentary than the general population. The limited available data should however be considered with caution due to substantial heterogeneity.

Demographics moderated the association of symptom burden with falls and fall-related outcomes

OBJECTIVES

To examine whether (1) prior-year symptom burden predicted later-year falls and fall-related outcomes and (2) demographics moderated the longitudinal effects of symptom burden on falls and fall-related outcomes among community-dwelling older adults.

METHODS

We used 2011-2018 National Health and Aging Trends Study data that included 9,060 community-dwelling older adults (contributed 34,327 observations). Falls and fall-related outcomes included self-reported falls, multiple falls, fear of falling (FOF), and FOF limiting activity. Symptom burden was defined as the presence of pain, insomnia, breathing difficulty, depressive symptoms, anxiety, and fatigue, and calculated the number of symptoms (range from 0 to 6). Binomial logistic regression was used to examine the associations between symptom burden and falls and fall-related outcomes and the moderation effects of demographic factors.

RESULTS

The majority of the sample were aged between 65 and 79 years old (57.7%), non-Hispanic White (70.5%), and female (58.4%). Each additional symptom was associated with an increased risk of falls (Adjusted Odds Ratio [AOR]: 1.13, 95% CI: 1.10-1.15), multiple falls (AOR: 1.15, 95% CI: 1.12-1.18), FOF (AOR: 1.20, 95% CI: 1.18-1.23), and FOF limiting activity (AOR: 1.24, 95% CI: 1.20-1.28). Age, race/ethnicity, education, and living arrangement statistically significantly moderated the relationships between symptom burden and falls and fall-related outcomes.

CONCLUSIONS

Symptom burden predicted falls, multiple falls, FOF and FOF limiting activity, and demographics may differentially modify this risk. Individually tailored symptom assessment and management plans should be incorporated into fall risk assessment and interventions for community-dwelling older adults living.

Fatigue-Related Changes of Daily Function: Most Promising Measures for the Digital Age

Background

Fatigue is a prominent symptom in many diseases and is strongly associated with impaired daily function. The measurement of daily function is currently almost always done with questionnaires, which are subjective and imprecise. With the recent advances of digital wearable technologies, novel approaches to evaluate daily function quantitatively and objectively in real-life conditions are increasingly possible. This also creates new possibilities to measure fatigue-related changes of daily function using such technologies.

Summary

This review examines which digitally assessable parameters in immune-mediated inflammatory and neurodegenerative diseases may have the greatest potential to reflect fatigue-related changes of daily function.

Key Messages

Results of a standardized analysis of the literature reporting about perception-, capacity-, and performance-evaluating assessment tools indicate that changes of the following parameters: physical activity, independence of daily living, social participation, working life, mental status, cognitive and aerobic capacity, and supervised and unsupervised mobility performance have the highest potential to reflect fatigue-related changes of daily function. These parameters thus hold the greatest potential for quantitatively measuring fatigue in representative diseases in real-life conditions, e.g., with digital wearable technologies. Furthermore, to the best of our knowledge, this is a new approach to analysing evidence for the design of performance-based digital assessment protocols in human research, which may stimulate further systematic research in this area.

Active and productive ageing in India: evidence from the time use pattern of ageing adults

BACKGROUND

With the increasing proportion of older adults in India, it becomes essential to get an insight into the various influencing factors of successful ageing. However, the literature on successful ageing is minuscule in the Indian context. The present study attempted to understand successful ageing in terms of active and productive ageing by exploring their determining factors.

METHODS

The data were extracted from the Longitudinal Ageing Study in India (LASI) Wave-1 (2017-2018). We utilized self-reported time use information from the experimental module of the LASI. A total of 7837 ageing adults were included in the study. We employed descriptive statistics, bivariate analysis and a multinominal logistic regression model to examine the prevalence and the determinants of active and productive ageing.

RESULTS

The prevalence of inactive ageing was higher among the Indian ageing population (57.47%), followed by active ageing (29.59%) and productive ageing (12.94%). Poor sleep quality and the prevalence of morbidity and disability limited the ageing population from attaining active and productive ageing. Engagement in physical activity was significantly associated with active and productive ageing (β = 0.83, 99% CI: -0.72-0.94 and β = 0.82, 99% CI: 0.66-0.98), respectively. Rural ageing adults were more likely to attain active ageing and less likely to attain productive ageing.

CONCLUSION

Engagement in physical activities among the ageing population shall be promoted to attain active and productive ageing. Since the rural ageing population were less likely to attain productive ageing than their urban counterparts, opportunities to participate in more formal economic activities in rural areas could be promoted for the wellbeing of the second demographic dividend.

Effects of lifestyle physical activity and sedentary behaviour interventions on disease activity and patient- and clinician- important health outcomes in rheumatoid arthritis: a systematic review with meta-analysis

BACKGROUND

Lifestyle physical activity (PA) is defined as any type of PA undertaken as part of daily life. It can include engagement in activities of daily living (i.e., household chores, gardening, walking to work), incidental PA, walking and/or reducing sedentary or sitting behaviours (SB). Regular PA is recommended for people with Rheumatoid Arthritis (RA) to reduce disease activity and systemic inflammation, as well as to improve patient- and clinician-important health outcomes. However, there is no summarised evidence of the effectiveness of interventions specifically targeting lifestyle PA and SB in this population. The aims of this systematic review with meta-analysis were to evaluate interventions targeting lifestyle PA and/or SB on 1) disease activity; 2) PA, SB and 3) patient- and clinician-important outcomes in people with RA.

METHODS

Eight databases [Medline, Cochrane Library CENTRAL, Web of Science, PsychINFO, Cumulative Index to Nursing & Allied Health Literature, Scopus, Excerpta Medica database and Physiotherapy Evidence Database] were searched from inception-August 2022. Inclusion criteria required interventions to target lifestyle PA and/or SB, conducted in adults with RA, assessing patient- and/or clinician-important outcomes.

RESULTS

Of 880 relevant articles, 16 interventions met the inclusion criteria. Meta-analyses showed statistically significant effects of interventions on disease activity (standardised mean difference = -0.12 (95% confidence interval = -0.23 to -0.01, I2 = 6%, z = 2.19, p = .03), moderate-to-vigorous PA, light/leisure PA, steps, functional ability, and fatigue. Whereas, no intervention effects were visualised for total PA, pain, anxiety or quality of life.

CONCLUSIONS

Lifestyle PA interventions led to increased PA, reductions in SB and improvements in disease activity and other patient- and/or clinician-important health outcomes in people with RA. Future interventions should be less heterogenous in content, structure, focus and outcome measures used to aid understanding of the most effective intervention components for improving health. More SB interventions are needed to determine their effectiveness at producing clinical benefits.

Association between skeletal muscle mitochondrial dysfunction and insulin resistance in patients with rheumatoid arthritis: a case-control study

BACKGROUND

Insulin resistance affects a substantial proportion of patients with rheumatoid arthritis (RA). Skeletal muscle mitochondrial dysfunction results in the accumulation of lipid intermediates that interfere with insulin signaling. We therefore sought to determine if lower oxidative phosphorylation and muscle mitochondrial content are associated with insulin resistance in patients with RA.

METHODS

This was a cross-sectional prospective study of RA patients. Matsuda index from the glucose tolerance test was used to estimate insulin sensitivity. Mitochondrial content was measured by citrate synthase (CS) activity in snap-frozen muscle samples. Mitochondrial function was measured by using high-resolution respirometry of permeabilized muscle fibers and electron transport chain complex IV enzyme kinetics in isolated mitochondrial subpopulations.

RESULTS

RA participants demonstrated lower insulin sensitivity as measured by the Matsuda index compared to controls [median 3.95 IQR (2.33, 5.64) vs. 7.17 (5.83, 7.75), p = 0.02]. There was lower muscle mitochondrial content among RA vs. controls [median 60 mU/mg IQR (45, 80) vs. 79 mU/mg (65, 97), p = 0.03]. Notably, OxPhos normalized to mitochondrial content was higher among RA vs. controls [mean difference (95% CI) = 0.14 (0.02, 0.26), p = 0.03], indicating a possible compensatory mechanism for lower mitochondrial content or lipid overload. Among RA participants, the activity of muscle CS activity was not correlated with the Matsuda index (ρ =  - 0.05, p = 0.84), but it was positively correlated with self-reported (IPAQ) total MET-minutes/week (ρ = 0.44, p = 0.03) and Actigraph-measured time on physical activity (MET rate) (ρ = 0.47, p = 0.03).

CONCLUSIONS

Mitochondrial content and function were not associated with insulin sensitivity among participants with RA. However, our study demonstrates a significant association between muscle mitochondrial content and physical activity level, highlighting the potential for future exercise interventions that enhance mitochondrial efficiency in RA patients.

Causal association of leisure sedentary behavior with arthritis: A Mendelian randomization analysis

OBJECTIVES

This study aimed at exploring the potential causal effects of leisure sedentary behavior (LSB) on common types of arthritis.

METHOD

Two-sample Mendelian randomization (MR), including both univariable MR (UVMR) and multivariable MR (MVMR) analysis, was performed to explore the effects of LSB on the risk of several common types of arthritis, including osteoarthritis, rheumatoid arthritis (RA), and psoriatic arthritis (PsA). Genetic variants from genome-wide association studies (GWAS) of LSBs for time spent on television watching, computer use, and driving were obtained from the UK Biobank. Summarized GWAS data of OA [overall, OA of the hip (HOA), and OA of the knee (KOA)], RA [overall, seronegative RA (nRA) and seropositive RA], and PsA was also acquired from the FinnGen Biobank Analysis. Causal Analysis Using Summary Effect Estimates (CAUSE) were further applied to verify the causality.

RESULTS

UVMR results provided evidence for the causal relationship of time spent on watching TV with overall OA [odds ratio (OR) = 1.80, 95% confidence interval (CI) = 1.45-2.23], KOA (OR = 1.86, 95% CI = 1.45-2.39) and HOA (IVW-fixed: OR = 1.65, 95% CI =1.20-2.26). Similar associations were observed in the TV-overall RA and TV-pRA, and TV-PsA, but the CAUSE method results only supported the causal association of time spent TV watching with OA and KOA. Moreover, MVMR results showed indicated an independent causal effect of TV watching on OA (overall, KOA, and HOA).

CONCLUSION

This study demonstrated the genetic causal association of prolonged TV watching time with overall OA and KOA risks.

Correlates of sedentary behavior in people with fibromyalgia: A systematic review

INTRODUCTION

Understanding the correlates of sedentary behavior (SB) is important in the development of interventions which reduce and interrupt SB in people with fibromyalgia (PwF). This systematic review aimed to investigate the correlates of SB in PwF using the socio-ecological model.

METHODS

Three databases (Embase, CINAHL and PubMed) were search from inception until July 21, 2022 using "sedentary" or different types of SB and "fibromyalgia" or "fibrositis" as keywords. The data collected was then analyzed using summary coding.

RESULTS

Out of 23 SB correlates retrieved from 7 reports (n = 1698), no correlates were consistently reported (ie, reported in 4 or more studies). Higher pain intensity was the most commonly reported barrier for reducing/interrupting SB (reported in 3 reports). Other reported barriers to reducing/interrupting SB were experiencing physical and mental fatigue, a more severe disease impact, and a lack of motivation to be physically active (all reported in 1 study). A better experienced social and physical functioning and more vitality were facilitators for reducing/interrupting SB (all reported in 1 study). To date, in PwF no correlates of SB at the interpersonal, environmental and policy levels have been explored.

CONCLUSION

Research on correlates of SB in PwF is still in its infancy. The current preliminary evidence suggests that clinicians should consider physical and mental barriers when aiming to reduce or interrupt SB in PwF. Further research on modifiable correlates at all levels of the socio-ecological model is required to inform future trials aiming to modify SB in this vulnerable population.

Barriers and facilitators for physical activity in rheumatic and musculoskeletal disease: a European-based survey

Physical activity (PA) is a key strategy for improving symptoms in people with rheumatic and musculoskeletal diseases (RMDs). The aim of this study was to investigate and rank the importance of known barriers and facilitators for engaging in PA, from the perspective of people living with RMD. Five hundred thirty-three people with RMD responded to a survey (nine questions) disseminated by the People with Arthritis and Rheumatism (PARE) network of the European Alliance of Associations for Rheumatology (EULAR). The survey required participants to rank - based on their perceived importance - known PA barriers and facilitators from the literature, and specifically RMD symptoms as well as healthcare and community factors that may affect PA participation. Of the participants, 58% reported rheumatoid arthritis as their primary diagnosis, 89% were female, and 59% were between 51 and 70 years of age. Overall, participants reported fatigue (61.4%), pain (53.6%) and painful/swollen joints (50.6%) as the highest ranked barriers for engaging in PA. Conversely, less fatigue (66.8%) and pain (63.6%), and being able to do daily activities more easy (56.3%) were identified as the most important facilitators to PA. Three literature identified PA barriers, i.e., general health (78.8%), fitness (75.3%) and mental health (68.1%), were also ranked as being the most important for PA engagement. Symptoms of RMDs, such as pain and fatigue, seem to be considered the predominant barriers to PA by people with RMD; the same barriers are also the ones that they want to improve through increasing PA, suggesting a bi-directional relationship between these factors. Key Points • Symptoms of rheumatic and musculoskeletal disease (RMD) are the predominant barriers for lack of physical activity engagement. • RMD symptoms are the factors that people with RMDs want to improve when engaging in PA. • The barriers that stop people living with RMDs to do more PA are the ones that can be significantly improved through PA engagement.

The behavioural epidemiology of sedentary behaviour in inflammatory arthritis: where are we, and where do we need to go?

In the last decade, studies into sedentary behaviour in inflammatory arthritis have raised important questions regarding its role in this condition. Specifically, evidence is needed on whether sedentary behaviour might exacerbate adverse inflammatory arthritis outcomes, and whether reducing sedentary behaviour might offer an effective avenue for self-management in this population. Research exploring these important research questions is still very much in its infancy and lacks the direction and scientific rigour required to inform effective intervention design, delivery and evaluation. Behavioural epidemiology refers to research that aims explicitly to understand and influence health behaviour patterns to prevent disease and improve health. To this end, the Behavioural Epidemiology Framework specifies a focused approach to health behaviour research, which leads to the development of evidence-based interventions directed at specific populations. In this review, we introduce the Behavioural Epidemiology Framework in the context of research into sedentary behaviour in inflammatory arthritis and ask: where are we, and where do we need to go?

The challenges of measuring physical activity and sedentary behaviour in people with rheumatoid arthritis

The importance of sufficient moderate-to-vigorous physical activity as a key component of a healthy lifestyle is well established, as are the health risks associated with high levels of sedentary behaviour. However, many people with RA do not undertake sufficient physical activity and are highly sedentary. To start addressing this, it is important to be able to carry out an adequate assessment of the physical activity levels of individual people in order that adequate steps can be taken to promote and improve healthy lifestyles. Different methods are available to measure different aspects of physical activity in different settings. In controlled laboratory environments, respiratory gas analysis can measure the energy expenditure of different activities accurately. In free-living environments, the doubly labelled water method is the gold standard for identifying total energy expenditure over a prolonged period of time (>10 days). To assess patterns of physical activity and sedentary behaviour in daily life, objective methods with body-worn activity monitors using accelerometry are superior to self-reported questionnaire- or diary-based methods.

Device-measured sitting time and musculoskeletal pain in adults with normal glucose metabolism, prediabetes and type 2 diabetes-The Maastricht Study

BACKGROUND

Detrimental associations of sedentary behaviour (time spent sitting) with musculoskeletal pain (MSP) conditions have been observed. However, findings on those with, or at risk of, type 2 diabetes (T2D) have not been reported. We examined the linear and non-linear associations of device-measured daily sitting time with MSP outcomes according to glucose metabolism status (GMS).

METHODS

Cross-sectional data from 2827 participants aged 40-75 years in the Maastricht Study (1728 with normal glucose metabolism (NGM); 441 with prediabetes; 658 with T2D), for whom valid data were available on activPAL-derived daily sitting time, MSP [neck, shoulder, low back, and knee pain], and GMS. Associations were examined by logistic regression analyses, adjusted serially for relevant confounders, including moderate-to-vigorous intensity physical activity (MVPA) and body mass index (BMI). Restricted cubic splines were used to further examine non-linear relationships.

RESULTS

The fully adjusted model (including BMI, MVPA, and history of cardiovascular disease) showed daily sitting time to be significantly associated with knee pain in the overall sample (OR = 1.07, 95%CI: 1.01-1.12) and in those with T2D (OR = 1.11, 95%CI: 1.00-1.22); this was not statistically significant in those with prediabetes (OR = 1.04, 95%CI: 0.91-1.18) or NGM (OR = 1.05, 95%CI: 0.98-1.13). There were no statistically significant associations between daily sitting time and neck, shoulder, or low back pain in any of the models. Furthermore, the non-linear relationships were statistically non-significant.

CONCLUSION

Among middle-aged and older adults with T2D, daily sitting time was significantly associated with higher odds of knee pain, but not with neck, shoulder, or low back pain. No significant association was observed in those without T2D for neck, shoulder, low back, or knee pain. Future studies, preferably those utilising prospective designs, could examine additional attributes of daily sitting (e.g., sitting bouts and domain-specific sitting time) and the potential relationships of knee pain with mobility limitations.

Pain and Fatigue Improvements in Patients Treated with Repository Corticotropin Injection Across Five Indications: A Narrative Review

Repository corticotropin injection (RCI; Acthar^® Gel) is approved by the US Food and Drug Administration (FDA) for use in 19 indications, including for the treatment of selected patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), symptomatic sarcoidosis, uveitis, and keratitis. Despite treatment with disease-modifying antirheumatic drugs, many patients with RA, SLE, and other chronic inflammatory rheumatic diseases continue to be affected by severe pain and fatigue, indicating a need for other therapies. To examine the clinical data regarding the impact of RCI treatment on pain and fatigue in selected populations, this review included English-language peer-reviewed publications of clinical trials of any size and cohort studies with more than 10 patients that included pain and/or fatigue based on patient-reported outcomes (PROs) and/or physician-assessed measures in adults following treatment with RCI for RA, SLE, symptomatic sarcoidosis, uveitis, or keratitis. Literature searches identified eight studies that met these criteria. Four studies (reported in five publications) were in patients with RA or SLE, two in patients with sarcoidosis, one in patients with uveitis, and one in patients with noninfectious keratitis. Across the different types of studies assessed (clinical trials, chart reviews, real-world evidence), the results were consistent with respect to the impact of RCI treatment on improving pain and fatigue. As summarized in this review, data from patient- and physician-reported outcome measures in eight studies demonstrate that, in addition to improving more traditional efficacy measures, RCI may also improve pain and fatigue in patients with RA, SLE, symptomatic sarcoidosis, uveitis, and noninfectious keratitis.

Rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) are chronic autoimmune diseases. Clinical studies of drugs for these diseases do not often ask patients how they feel after treatment. Despite treatment, many people with these diseases have pain and feel tired. Repository corticotropin injection (RCI) is a prescription drug for patients with RA, SLE, and other chronic immune diseases. We reviewed the results of published studies with data on pain and fatigue from patients treated with RCI. Four studies were in patients with RA or SLE. Two studies were in patients with symptomatic sarcoidosis. One study was in patients with uveitis. One study was in patients with noninfectious keratitis. These eight studies show that adding RCI to standard treatment lowers pain and fatigue in some patients. It would be helpful to measure pain and fatigue in future clinical studies of drugs for patients with chronic immune diseases.

Monitoring and Managing Cardiovascular Risk in Immune Mediated Inflammatory Diseases

Cardiovascular disease (CVD) is common in immune-mediated inflammatory diseases (IMIDs) and it is predominately attributed to the interplay between chronic inflammation and traditional CVD risk factors. CVD has significant impact on the survival of patients with IMIDs as it is associated with increased morbidity and mortality. Despite recommendations for monitoring and managing CVD in patients with IMIDs, the individual CVD risk assessment remains problematic as CVD risk calculators for the general population consistently underestimate the risk in patients with IMIDs. Application of new technologies utilizing artificial intelligence techniques have shown promising potential for tailoring predictive medicine to the individual patient, but further validation of their role in clinical decision-making is warranted. In the meantime, individuals with IMIDs should be encouraged to adopt behavioral interventions targeting at modifiable lifestyle CVD risk factors, whereas rheumatologists need to be well aware of the unfavorable effects of antirheumatic medication on various CVD risk factors and outcomes. In the current paper, we aim to provide an overview of current and emerging strategies for mitigating CVD risk in patients with IMIDs, based on a practical approach.

Identification and Prediction of Fatigue Trajectories in People With Rheumatoid Arthritis

OBJECTIVE

We aimed to identify groups demonstrating different long-term trajectories of fatigue among people with rheumatoid arthritis and determine baseline predictors for these trajectories.

METHODS

Our study included 2741 people aged 18 to 75 years who were independent in daily living. Data were collected from the Swedish Rheumatology Quality Register and questionnaires at baseline, 14 months, and 26 months. Fatigue was rated on a 100-mm visual analog scale. K-means cluster analysis was used to identify fatigue trajectories. Multinomial logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals for potential predictors of trajectory membership.

RESULTS

The mean age was 60 years, 73% of participants were female, and the mean baseline fatigue level was 39. Three distinct fatigue trajectories were identified, representing mild (mean 15, n = 1024), moderate (mean 41, n = 986), and severe (mean 71, n = 731) fatigue. Consistent patterns indicated that poorer health perception (ORs 1.68-18.40), more pain (ORs 1.38-5.04), anxiety/depression (ORs 0.85-6.19), and activity limitation (ORs 1.43-7.39) were associated with more severe fatigue. Those in the severe fatigue group, compared with those in the mild fatigue group, were more likely to be college educated than university educated (OR 1.56) and less likely to maintain physical activity (OR 0.54). Those in the severe fatigue group, compared with those in both the moderate (OR 0.67) and mild (OR 0.59) fatigue groups, were less likely to have one additional adult in the household.

CONCLUSION

This study identified stable fatigue trajectories, predicted by health perception, pain, anxiety/depression, activity limitation, educational level, maintained physical activity, and household composition. Interventions aimed at reducing these disabilities and supporting physical activity behaviors may help reduce fatigue.

Post-COVID-19 Syndrome and the Potential Benefits of Exercise

The coronavirus disease (COVID-19), caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection, is leading to unknown and unusual health conditions that are challenging to manage. Post-COVID-19 syndrome is one of those challenges, having become increasingly common as the pandemic evolves. The latest estimates suggest that 10 to 20% of the SARS-CoV-2 patients who undergo an acute symptomatic phase are experiencing effects of the disease beyond 12 weeks after diagnosis. Although research is beginning to examine this new condition, there are still serious concerns about the diagnostic identification, which limits the best therapeutic approach. Exercise programs and physical activity levels are well-known modulators of the clinical manifestations and prognosis in many chronic diseases. This narrative review summarizes the up-to-date evidence on post-COVID-19 syndrome to contribute to a better knowledge of the disease and explains how regular exercise may improve many of these symptoms and could reduce the long-term effects of COVID-19.