Variability in the prevalence of depression among adults with chronic pain: UK Biobank analysis through clinical prediction models.

BACKGROUND: The prevalence of depression among people with chronic pain remains unclear due to the heterogeneity of study samples and definitions of depression. We aimed to identify sources of variation in the prevalence of depression among people with chronic pain and generate clinical prediction models to estimate the probability of depression among individuals with chronic pain. METHODS: Participants were from the UK Biobank. The primary outcome was a "lifetime" history of depression. The model's performance was evaluated using discrimination (optimism-corrected C statistic) and calibration (calibration plot). RESULTS: Analyses included 24,405 patients with chronic pain (mean age 64.1 years). Among participants with chronic widespread pain, the prevalence of having a "lifetime" history of depression was 45.7% and varied (25.0-66.7%) depending on patient characteristics. The final clinical prediction model (optimism-corrected C statistic: 0.66; good calibration on the calibration plot) included age, BMI, smoking status, physical activity, socioeconomic status, gender, history of asthma, history of heart failure, and history of peripheral artery disease. Among participants with chronic regional pain, the prevalence of having a "lifetime" history of depression was 30.2% and varied (21.4-70.6%) depending on patient characteristics. The final clinical prediction model (optimism-corrected C statistic: 0.65; good calibration on the calibration plot) included age, gender, nature of pain, smoking status, regular opioid use, history of asthma, pain location that bothers you most, and BMI. CONCLUSIONS: There was substantial variability in the prevalence of depression among patients with chronic pain. Clinically relevant factors were selected to develop prediction models. Clinicians can use these models to assess patients' treatment needs. These predictors are convenient to collect during daily practice, making it easy for busy clinicians to use them.

Health coaching intervention with or without the support of an exercise buddy to increase physical activity of people with chronic low back pain compared to usual care: a feasibility and pilot randomised controlled trial.

BACKGROUND: Exercise buddies (people to exercise together with) might support people with low back pain (LBP) to become active. However, involving buddies in randomised controlled trials (RCT) might challenge recruitment, data collection and follow-up. OBJECTIVES: To explore the feasibility of the intervention, recruitment and data collection approaches and potential effects of a health coaching intervention (focused on physical activity) with or without exercise buddies' support on physical activity of people with chronic LBP versus usual discharge care. DESIGN: Feasibility and pilot RCT. METHODS: Adults (n = 30) discharged from LBP treatment were randomised to the Buddy-Assisted (health coaching intervention with exercise buddy's support), Individual-Only (health coaching only), or usual care groups. Data were collected at baseline, three and six months. The feasibility of trial's procedures was assessed through recruitment rate (acceptable if >70%), data completion rate (acceptable if ≤ 20% missing data), and follow-up rate (successful if ≥ 85%). The intervention's acceptability was assessed via feedback questionnaires. Preliminary effects on physical activity and other outcomes were also explored. RESULTS: Recruitment and baseline data completion were acceptable. However, data collection and follow-up rates post-randomisation were not. 85% of the Buddy-Assisted Group believed the buddies helped them to increase physical activity and would recommend the intervention. 70% of the Individual-Only and Control groups believed exercise buddies would help them to become further active. CONCLUSION: The data collection and follow-up approaches were not successful and need amending before a large-scale RCT. Nonetheless, the buddy-assisted intervention was well-accepted. A future RCT will focus on differences in clinical outcomes. TRIAL REGISTRATION: The study was registered at the Australian New Zealand Clinical Trial Registry (ACTRN12620001118998).

Come rain or shine: Is weather a risk factor for musculoskeletal pain? A systematic review with meta-analysis of case-crossover studies.

OBJECTIVES: The weather is frequently blamed for changes in musculoskeletal health behaviour and adverse events. However, despite the frequency with which this phenomenon is endorsed, past research is largely conflicting. This meta-analysis has reviewed, appraised and summarised case-crossover studies assessing the transient risk of musculoskeletal health events associated with weather parameters (e.g. temperature, relative humidity, air pressure, and precipitation). METHODS: A meta-analysis of case-crossover studies was conducted. Two reviewers independently searched MEDLINE, EMBASE, CINAHL, Web of Science, Scopus, and PsycINFO from inception to 10/09/2023. Published studies that employed a case-crossover design to evaluate the risk of musculoskeletal health events (e.g. symptoms, hospitalisation) associated with weather parameters were included. Primary outcome was pain (new episodes of pain or flares). Quality of included studies was assessed based on selection bias, exposure assessment, confounding, and outcome assessment. Pooling of results was conducted using random effects models and separately performed for each condition and weather factor. Heterogeneity among included studies was assessed using I2 measures. FINDINGS: Of the 1,107 studies identified in the search, 11 were included (15,315 participants), providing data on 28,010 events (102,536 control periods), for seven musculoskeletal conditions. Pooled analyses showed no association between relative humidity, air pressure, temperature, or precipitation and the risk of rheumatoid arthritis, knee pain or low back pain. High temperatures combined with low humidity were associated with increased pain, redness, and joint swelling in people with gout (Odds Ratio: 2.04; 95 % Confidence Interval: 1.26 to 3.30). INTERPRETATION: Despite anecdotal reports from patients, changes in weather factors do not seem to be risk factors for rheumatoid arthritis, knee, hip, or low back pain, but may have a significant influence in gout disease.

Effectiveness of an eHealth-Delivered Program to Empower People With Musculoskeletal Pain in Rural Australia: A Randomized Controlled Trial.

OBJECTIVE: Our objective was to evaluate the effectiveness of a three-month physiotherapist-delivered eHealth physical activity program compared with usual care to improve function in adults with low back pain or knee osteoarthritis in rural Australia. METHODS: This was a parallel, two-group, pragmatic, superiority, randomized controlled trial involving three- and six-month posttreatment follow-ups. There was a total of 156 adults with chronic nonspecific low back pain (n = 97) or knee osteoarthritis (n = 59) from rural Australia. The intervention involved an eHealth physical activity and an exercise program that included five to eight teleconsultations with a physiotherapist (primary time point three months) or usual care (eg, general practitioner, physiotherapy, and pain medication). The primary outcome was the Patient-Specific Functional Scale (0-30), with a three-point difference between groups being considered the minimum clinically important difference. RESULTS: Participants receiving the eHealth intervention (n = 78) reported significantly greater and clinically worthwhile improvements in function (mean between-group difference 3.6; 95% confidence interval [CI] 1.3-5.9) compared to participants receiving usual care (n = 78). Small but statistically significantly greater improvements in disability (7.2 of 100; 95% CI 2.1-12.3) and quality of life (4.5 of 100; 95% CI 0.0-9.0) also favored the eHealth group. No clinical or statistical differences between groups were found for the secondary outcomes of pain, coping skills, and physical activity levels. CONCLUSION: A physiotherapist-delivered eHealth intervention is effective and provides clinically meaningful improvements in function compared to usual care for people with musculoskeletal pain in rural communities. These findings highlight the potential for eHealth-based programs to improve access to evidence-based exercise interventions for people with musculoskeletal pain in rural communities.

Adverse childhood experience is associated with an increased risk of reporting chronic pain in adulthood: a stystematic review and meta-analysis.

Background: Adverse childhood experiences (ACEs) have been shown to negatively affect health in adulthood. Estimates of associations between ACEs and chronic painful conditions are lacking.Objectives: This systematic review and meta-analysis aimed to evaluate associations between exposure to ACEs and chronic pain and pain-related disability in adults.Methods: We searched 10 electronic databases from inception to February 2023. We included observational studies assessing associations between direct ACEs (childhood sexual, physical, emotional abuse, or neglect) alone or in combination with indirect ACEs (witnessing domestic violence, household mental illness), and adult chronic pain (≥3 months duration) and pain-related disability (daily activities limited by chronic pain). Pairs of reviewers independently extracted data and assessed study risks of bias. Random-effect models were used to calculate pooled adjusted odds ratios [aOR]. Tau square [T2], 95% prediction intervals [95%PI] and I2 expressed the amount of heterogeneity, and meta-regressions and subgroup meta-analyses investigated sources of heterogeneity (PROSPERO: CRD42020150230).Results: We identified 85 studies including 826,452 adults of which 57 studies were included in meta-analyses. Study quality was generally good or fair (n = 70). The odds of reporting chronic pain in adulthood were significantly higher among individuals exposed to a direct ACE (aOR, 1.45, 95%CI, 1.38-1.53). Individuals reporting childhood physical abuse were significantly more likely to report both chronic pain (aOR, 1.50, 95CI, 1.39-1.64) and pain-related disability (1.46, 95CI, 1.03-2.08) during adulthood. Exposure to any ACEs alone or combined with indirect ACEs significantly increase the odds of adult chronic painful conditions (aOR, 1.53, 95%CI, 1.42-1.65) and pain-related disability (aOR, 1.29; 95%CI, 1.01-1.66). The risk of chronic pain in adulthood significantly increased from one ACE (aOR, 1.29, 95%CI, 1.22-1.37) to four or more ACEs (1.95, 95%CI, 1.73-2.19).Conclusions: Single and cumulative ACEs are significantly associated with reporting of chronic pain and pain-related disability as an adult.

Previous meta-analyses highlighted the negative impact of adverse childhood experiences on physical, psychological, and behavioural health across the lifespan.We found exposure to any direct adverse childhood experience, i.e. childhood sexual, physical, emotional abuse, or neglect alone or combined, increased the risk of reporting chronic pain and pain-related disability in adulthood.The risk of reporting chronic painful disorders increased with increasing numbers of adverse childhood experiences.

Developing resilient clinical trials: Lessons learned from rolling out the Get Back to Healthy trial during a pandemic.

BACKGROUND: The COVID-19 pandemic has caused wide-spread disruptions to the conduct of randomised controlled trials (RCTs), particularly those involving public health services. Using the Get Back to Healthy trial as an example, this study aimed to contextualise the challenges imposed by the COVID-19 pandemic on implementation of RCTs involving public health services in Australia, summarise the effect of common and novel contingency strategies employed to mitigate these challenges, and describe key lessons learned. METHODS: The main challenges, the effect of contingency strategies employed, and key lessons learned were summarised descriptively. RESULTS: The main COVID-19-related challenge has been slow recruitment due to the suspension of clinical services for the trial target population. This challenge has been addressed through carefully considered adjustments to trial design (i.e., expanding the trial eligibility criteria), which has markedly improved trial recruitment rates. Other challenges have included the rapid transition to remote consent and data collection methods, increased complexity of monitoring participant safety, and future statistical challenges with disentangling the impact of the COVID-19 pandemic from treatment effects. The key lessons learned are: (i) adaptations to trial design may be necessary during a pandemic; (ii) offering remote methods may encourage trial participation from all age groups during a pandemic; (iii) enhanced monitoring of safety is critical during a pandemic; (iv) statistical challenges are likely to occur and should be considered when interpreting trial results. CONCLUSION: Key lessons learned may be useful for informing the conduct of resilient RCTs, particularly those involving public health services, in the present and future.

The impact of aggregate positive lifestyle behaviors on low back pain resilience and care seeking.

BACKGROUND CONTEXT: Low back pain (LBP) is a global issue, and the high associated costs are mainly attributed to a small proportion of people with LBP who seek care. Importantly, the impact of aggregate positive lifestyle behaviors on LBP resilience and care seeking is not known. PURPOSE: This study aimed to evaluate the relationship between positive lifestyle behaviors and LBP resilience. STUDY DESIGN: This study was a prospective longitudinal cohort study. PATIENT SAMPLE: Data was collected as part of the AUstralian Twin BACK Study (AUTBACK). Participants who reported a lifetime previous history of LBP at baseline were included in this analysis (n = 340). OUTCOME MEASURES: The outcomes of interest were the number of weeks without activity limiting LBP and total number of days of healthcare usage, health practitioner care, self-management care, and medication intake. METHODS: A lifestyle behavior score was built using variables of body mass index (BMI), physical activity, smoking status, and sleep quality. Negative binomial regression analyses were used to assess the relationship between the positive lifestyle behavior score and the count outcomes of number of weeks without activity limiting LBP and number of days participants used care. RESULTS: After adjusting for covariates, no association was found between participants' positive lifestyle behavior score and their number of weeks without activity limiting LBP (IRR: 1.02, 95% CI 1.00-1.05). There was a statistically significant relationship between higher positive lifestyle behavior scores and fewer number of days of participants' total healthcare usage (IRR:0.69, 95% CI 0.56-0.84), healthcare practitioner visits (IRR:0.62, 95% CI 0.45-0.84), use of self-management strategies (IRR:0.74, 95% CI 0.60-0.91), and use of pain medication (IRR:0.55, 95% CI 0.44-0.68). CONCLUSION: People who adopt optimal lifestyle behaviors, such as engaging in adequate physical activity, achieving optimal quality sleep, maintaining an ideal BMI, and not smoking, may not experience less time suffering from activity limiting LBP, but are less likely to use healthcare and pain medication for their LBP.

New statistical process control charts for overdispersed count data based on the Bell distribution.

Poisson distribution is a popular discrete model used to describe counting information, from which traditional control charts involving count data, such as the c and u charts, have been established in the literature. However, several studies recognize the need for alternative control charts that allow for data overdispersion, which can be encountered in many fields, including ecology, healthcare, industry, and others. The Bell distribution, recently proposed by Castellares et al. (2018), is a particular solution of a multiple Poisson process able to accommodate overdispersed data. It can be used as an alternative to the usual Poisson (which, although not nested in the Bell family, is approached for small values of the Bell distribution) Poisson, negative binomial, and COM-Poisson distributions for modeling count data in several areas. In this paper, we consider the Bell distribution to introduce two new exciting, and useful statistical control charts for counting processes, which are capable of monitoring count data with overdispersion. The performance of the so-called Bell charts, namely Bell-c and Bell-u charts, is evaluated by the average run length in numerical simulation. Some artificial and real data sets are used to illustrate the applicability of the proposed control charts.

The smallest worthwhile change on function from a self-management intervention for non-persistent low back pain.

PURPOSE: To determine: (1) the smallest change in function patients would need to see following a self-management intervention for low back pain (LBP) to consider it worthwhile; (2) the association between patient-related factors and the magnitude of the smallest worthwhile change. METHODS: A cross-sectional analysis of 212 participants of the TEXT4myBACK randomised trial was conducted. At baseline, participants nominated the smallest change in function (0-30 scale) following a self-management program they would need to reach to consider it worthwhile. A multivariate regression model estimated the effects of demographic, comorbidities, lifestyle and LBP-related factors on the smallest worthwhile change estimates. RESULTS: On average, people with LBP need to experience an improvement of at least 9.4 points (SD: 5.7) in function to consider a self-management intervention worthwhile. Only baseline function severity was significantly associated with the smallest worthwhile estimate (-0.60; 95%CI - 0.76, - 0.44). CONCLUSION: On average, an improvement of 9.4 points (or 31%) in function is considered by people with LBP as the smallest change that makes self-management worthwhile. Those with lower levels of function needed to experience greater improvements.

Sex differences in lifetime prevalence of low back pain: A multinational study of opposite-sex twin pairs.

BACKGROUND: Low back pain (LBP) is more likely to occur in people with a family history of this condition, highlighting the importance of accounting for familial factors when studying the individual risk of LBP. We conducted a study of opposite-sex twin pairs investigating sex differences in LBP while accounting for (genetic and shared environmental) familial factors. METHODS: We applied a matched co-twin control design to study 795 adult opposite-sex pairs from Australia, Spain, and the United States (US). We used mixed-effects logistic regression to assess the within-pair association between female sex and lifetime prevalence of LBP in unadjusted and adjusted models for body-mass-index, and depression, as well as interactions between female sex and age (

A qualitative assessment of a text message intervention for people with low back pain.

BACKGROUND: Text messages represent a simple and scalable strategy to provide self-management to people with low back pain (LBP), yet their usefulness is unknown. OBJECTIVE: To assess the usefulness, delivery format, behaviour-change ability and potential for the TEXT4myBACK intervention to be scaled-up. DESIGN: Qualitative study nested within a randomised controlled trial. METHODS: 64 participants of the TEXT4myBACK trial randomised to the intervention arm were invited to participate in online sessions. Participants provided feedback about the text messages received. Online sessions were conducted by two researchers until thematic saturation was achieved. Information was analysed based on framework analysis and thematic data-driven coding. RESULTS: Of the 64 invited, 10 people participated in the sessions and thematic saturation was reached. The following themes were identified: intervention's format, barriers and facilitators for behaviour-change, effectiveness, and implementation into healthcare. The messages were considered useful and their format was well-accepted, whilst some suggested a longer duration. The messages were considered simple to read and understand yet further information about LBP and exercise would be appreciated. Some believed the intervention improved their LBP and others believed its effectiveness would depend on receiver's characteristics. Participants felt the messages helped them to increase physical activity. Provision of information, reminders, and self-awareness were some behaviour-change facilitators. Participants said the intervention could be provided by healthcare professionals either for free or through a small fee. CONCLUSIONS: The TEXT4myBACK intervention was useful and well-accepted. It provided reminders and supported increases in physical activity. Participants provided suggestions for the intervention to be scaled-up.

The modifier effect of physical activity, body mass index, and age on the association of metformin and chronic back pain: A cross-sectional analysis of 21,899 participants from the UK Biobank.

BACKGROUND: There is growing evidence of the anti-inflammatory effect of the anti-diabetic drug metformin and its use to reduce pain. However, we currently lack studies investigating whether metformin is associated with a reduction in chronic back pain prevalence when considering physical activity levels, body mass index (BMI), and age. OBJECTIVE: To investigate whether use of metformin is associated with lower levels of reporting of chronic back pain in a large cohort with type 2 diabetes when stratified for physical activity, BMI, and age. METHODS: This is a cross-sectional study of 21,889 participants with type 2 diabetes who were drawn from the UK Biobank database. We investigated whether people using metformin reported a higher prevalence of chronic low back pain than those who did not. Type 2 diabetes, chronic back pain, and metformin were self-reported. Participants were stratified according to their physical activity level (low, moderate and high), BMI (normal, overweight, and obese), and age (40 to <50; 50 to < 60; and ≥60 years). Logistic regression models were built for each physical activity level, BMI and age category to investigate the prevalence of chronic back pain amongst those using and not using metformin. RESULTS: Participants who were using metformin and who had low levels of physical activity [OR 0.87, 95%CI 0.78 to 0.96] or who were obese [OR 0.90, 95%CI 0.86 to 0.98] or older [OR 0.85, 95%CI 0.78 to 0.93] had lower odds of reporting chronic back pain than their counterparts. CONCLUSION: The anti-diabetic drug metformin might reduce prevalence of chronic low back pain in people who are older, overweight, or less active. These findings should be confirmed in studies using a longitudinal design.

Short-term impact of COVID-19 pandemic on low back pain: data from the PAMPA Cohort, Brazil.

BACKGROUND: To evaluate the short-term impact of COVID-19 pandemic on low back pain (LBP) outcomes in southern Brazil. METHODS: Data from the PAMPA Cohort were analyzed. Adults were recruited between June and July 2020 in the Rio Grande do Sul state using online-based strategies. Participants responded a self-reported, online questionnaire on LBP with two timepoints: before (retrospectively) and during COVID-19 pandemic. We assessed LBP experience, LBP-related activity limitation (no/yes), and LBP intensity (0 to 10 [strongest pain]). RESULTS: From a total sample of 2,321 respondents (mean age: 37.6 ± 13.5; 75.4% women), the prevalence of LBP did not change significantly from before (74.7% [95%CI 72.3; 76.9]) to the first months of pandemic (74.2% [95%CI 71.9; 76.3]). However, an increased pain levels (ß: 0.40; 95%CI 0.22; 0.58) and a higher likelihood for activity limitation due to LBP was observed (PR 1.14; 95%CI 1.01; 1.29). Longitudinal analyzes showed that age, gender, BMI, chronic diseases, physical activity, and anxiety and depression symptoms, were associated with LBP in the first pandemic months. CONCLUSION: Although the prevalence of LBP did not change at the first months of COVID-19 pandemic, LBP-induced impairment in daily activities and pain intensity was higher when compared to before the pandemic.

Health Coaching for Low Back Pain and Hip and Knee Osteoarthritis: A Systematic Review with Meta-Analysis.

BACKGROUND: Health coaching aims to empower people to reach their goals and is increasingly used in health care settings. Whether health coaching improves pain and disability for people with hip or knee osteoarthritis (OA) or low back pain (LBP) is unknown. METHODS: Six databases were searched for randomized controlled trials assessing health coaching or motivational programs in adults with hip or knee OA or LBP, with each condition investigated independently. Meta-analyses were performed with random-effects models in the Cochrane Collaboration Review Manager 5.3 program. RESULTS: Seventeen eligible studies were found. No studies analyzing hip OA alone were found. Pooled analyses found statistically significant decreases in mid-term pain (mean difference [MD]: -7.57; 95% confidence interval [CI]: -10.08 to -5.07; P < 0.001, I2 = 0%), short-term disability (standard mean difference [SMD]: -0.22; 95% CI: -0.41 to -0.03; P = 0.02, z = 2.32, I2 = 0%), and mid-term disability (SMD: -0.42; 95% CI: -0.75 to -0.09; P = 0.01, z = 2.49, I2 = 60%), favoring the intervention for chronic LBP. There were significant improvements in knee OA long-term functional disability (MD: -3.04; 95% CI: -5.70 to -0.38; P = 0.03; z = 2.24; I2 = 0%). CONCLUSION: Meta-analyses provide evidence that health coaching reduces both disability and pain in people with chronic LBP and reduces disability in people with knee OA, though the clinical significance is unknown. There is currently no evidence supporting or refuting the use of health coaching for hip OA.

Consensus for Statements Regarding a Definition for Spinal Osteoarthritis for Use in Research and Clinical Practice: A Delphi Study.

OBJECTIVE: To determine consensus among an international, multidisciplinary group of experts regarding definitions of spinal osteoarthritis for research and for clinical practice. METHODS: A 15-member, multidisciplinary steering committee generated 117 statements for a 3-round Delphi study. Experts in back pain and/or osteoarthritis were identified and invited to participate. In round 1, participants could propose additional statements for voting. All statements were rated on a 1-9 Likert scale, and consensus was set at ≥70% of respondents agreeing or disagreeing with the statement and <15% of respondents providing the opposite response. RESULTS: In total, 255 experts from 11 different professional backgrounds were invited. From 173 available experts, 116 consented to participate. In round 1, 103 participants completed the survey, followed by 85 of 111 participants in round 2 (77%) and 87 of 101 participants in round 3 (86%). One-third of participants were from Europe (30%), most were male (58%), one-fifth were physical therapists (21%), and over one-third had been in their profession for 11-20 years (35%). Of 131 statements, consensus was achieved for 71 statements (54%): 53 in agreement (75%) and 18 in disagreement (25%). CONCLUSION: Although there was consensus for statements for definitions of spinal osteoarthritis that were analogous to definitions of osteoarthritis in appendicular joints, a future definition still needs refinement. Importantly, this Delphi highlighted that a future definition should be considered across a spectrum of structural changes and patient symptoms and expressed on a progressive scale.

A bidirectional study of the association between insomnia, high-sensitivity C-reactive protein, and comorbid low back pain and lower limb pain.

OBJECTIVES: To examine the possible bidirectional association between insomnia and comorbid chronic low back pain (LBP) and lower limb pain and to explore whether high-sensitivity C-reactive protein (hsCRP) amplifies these associations. METHODS: We calculated adjusted risk ratios (RR) with 95% confidence intervals (CI) for the development of insomnia and mild-to-severe chronic LBP and lower limb pain at 11 years follow-up in participants aged ≥32 years and with hsCRP ≤10 mg/L at baseline in 2007-2008: 3,714 without chronic LBP or lower limb pain (sample 1) and 7,892 without insomnia (sample 2). RESULTS: Compared to participants without chronic pain, participants with comorbid chronic LBP and lower limb pain had a RR of insomnia of 1.37 (95% CI 1.12-1.66). Compared with participants without insomnia, participants with insomnia did not have an increased risk of comorbid chronic LBP and lower limb pain (RR: 1.06, 95% CI 0.76-1.46); however, participants with insomnia had a RR of chronic LBP of 1.20 (95% CI 1.02-1.42). There was no strong amplifying effect of elevated hsCRP (3.00-10.0 mg/L) on these associations. CONCLUSIONS: These findings suggest that elevated hsCRP does not amplify the associations between insomnia and mild-to-severe chronic LBP and lower limb pain. Further research using data on the temporal relation between insomnia, chronic pain, and inflammatory responses are required to fully understand the causal pathways.

Unraveling water monitoring association towards weather attributes for response proportions data: A unit-Lindley learning.

Learning techniques involve unraveling regression structures, which aim to analyze in a probabilistic frame the associations across variables of interest. Thus, analyzing fraction and/or proportion data may not be adequate with standard regression procedures, since the linear regression models generally assume that the dependent (outcome) variable is normally distributed. In this manner, we propose a statistical model called unit-Lindley regression model, for the purpose of Statistical Process Control (SPC). As a result, a new control chart tool was proposed, which targets the water monitoring dynamic, as well as the monitoring of relative humidity, per minute, of Copiapó city, located in Atacama Desert (one of the driest non-polar places on Earth), north of Chile. Our results show that variables such as wind speed, 24-hour temperature variation, and solar radiation are useful to describe the amount of relative humidity in the air. Additionally, Information Visualization (InfoVis) tools help to understand the time seasonality of the water particle phenomenon of the region in near real-time analysis. The developed methodology also helps to label unusual events, such as Camanchaca, and other water monitoring-related events.

The short-term effects of opioid and non-opioid pharmacotherapies on sleep in people with chronic low back pain: A systematic review and meta-analysis of randomized controlled trials.

Chronic low back pain (LBP) shares a bidirectional relationship with sleep disturbance. Analgesics are often used for chronic LBP management however, the effects on sleep have not been thoroughly reviewed. This systematic review and meta-analysis assessed the effect of opioid and non-opioid medications on sleep in people with chronic LBP. Electronic databases were searched for randomized controlled trials which resulted in 16 eligible articles (14 studies). Sleep measures were secondary outcomes, with one study assessing sleep objectively and all other studies reporting subjective sleep. Twelve studies assessed opioid therapies whilst two studies examined non-opioid therapies. Eight studies (all opioid) were included in meta-analyses of sleep quality and sleep disturbance comparing opioid therapies with placebo-controls. Opioid therapies significantly improved sleep quality (SMD = 0.27, 95% CI: 0.17-0.36) and reduced sleep disturbance (SMD = 0.32, 95% CI: 0.25-0.40) compared to placebo-control. These findings show a clear improvement in subjective sleep associated with opioid therapies however, future studies should examine objective sleep outcomes which remain largely unexplored in chronic LBP. Addressing both pain and sleep together is important for effective management of comorbid conditions of chronic LBP and sleep disturbance due to their bidirectional relationship.

The impact of different intensities and domains of physical activity on analgesic use and activity limitation in people with low back pain: A prospective cohort study with a one-year followup.

BACKGROUND: Analgesics are the most common form of managing low back pain (LBP). No previous study has examined which domains and intensities of physical activity are most beneficial in reducing the frequency of analgesic use for LBP and its related activity limitation. METHODS: This cohort study forms part of the AUstralian Twin low BACK pain study, investigating the impact of physical activity on LBP. Information on demographics, LBP and health-related factors, including physical activity, were collected at baseline. Data on the total counts of analgesic use and activity limitation for LBP were collected weekly for one-year. Negative binomial regression models were conducted separately for each type of physical activity. Results were presented as incidence rate ratios (IRRs) and 95% confidence intervals (CIs). RESULTS: From an initial sample of 366 participants, 86 participants reported counts of analgesic use and 140 recorded counts of activity limitation across the follow-up period. The negative binomial regression models for analgesic use counts indicated that engagement in moderate-vigorous physical activity was protective for use of analgesics (IRR 0.97, 95% CI 0.96-0.99), while physical workload was associated with greater use (IRR 1.02, 95% CI 1.01-1.05). No other significant relationships were observed for the other measures of physical activity. For activity limitation counts, engagement in leisure activity was associated with less counts of activity limitation (IRR 0.94, 95% CI 0.81-0.99), while greater amounts of sedentary time was associated with higher counts (IRR 1.04, 95% CI 1.01-1.09). No other significant relationships were observed for the other measures of physical activity. CONCLUSIONS: Our findings highlight the potential importance of supporting engagement in moderate-vigorous and leisure physical activity as well as minimizing sedentary time and physical workload to reduce the risk of activity limitation and the need for analgesic use in people with LBP. SIGNIFICANCE: We examined which domains and intensities of physical activity are most beneficial in reducing the frequency of analgesic use for low back pain and its related activity limitation. Engaging in moderate-vigorous and leisure physical activity as well as minimizing sedentary time and physical workload has the potential to reduce the risk of activity limitation and the need for analgesic use in people with low back pain.

Efficacy of a digital cognitive behavioral therapy for insomnia in people with low back pain: a feasibility randomized co-twin and singleton-controlled trial.

BACKGROUND: Digital cognitive behavioral therapy for insomnia (CBT-i) in people with low back pain (LBP) may be efficacious in improving both sleep and pain; and twin trial designs provide greater precision of treatment effects by accounting for genetic and early environmental factors. We aimed to determine the feasibility of a trial investigating the efficacy of a digital CBT-i program in people with comorbid symptoms of insomnia and LBP, in twins and people from the general community (singletons). METHODS: Thirty-two twins (16 pairs) and 66 singletons with comorbid symptoms of insomnia and LBP (> 6 weeks duration) were randomized to digital CBT-i (intervention) or educational program (control) for 6 weeks. The digital CBT-I, Sleepio (developed by Big Health Inc.), was an online interactive, automated, personalized course comprising of six sessions, once a week. The education program was six emails with general sleep information, once a week. Participants were blinded to their group allocation and offered the alternative intervention at the completion of the study. Feasibility outcomes included recruitment and follow-up rates, data collection and outcome measure completion, contamination (communication about trial interventions), acceptability (adherence), credibility, and participants' experience of the intervention. RESULTS: Sixteen out of 722 contacted twin pairs were recruited (recruitment rate = 2.2%). Twins were recruited between September 2015 and August 2018 (35 months) and singletons between October 2017 and Aug 2018 (10 months). Follow-up rates for post-intervention and 3-month follow-up were 81% and 72% for twins and 82% and 78% for singletons respectively. Adherence rates (percentage of sessions completed out of six) for the digital CBT-i were 63% for twins and 55% for singletons. Contamination (speaking about the study to each other) was present in two twin pairs (13%). Written or verbal feedback (n = 21) regarding the digital CBT-i intervention from participants were positive (n = 11), neutral (n = 5), or negative (n = 6). CONCLUSIONS: Online CBT-i was received favorably with people with comorbid symptoms of insomnia and LBP. While the online data collection was successful, strategies need to be implemented to improve adherence, follow-up, control group credibility (for digital CBT-i), and twin recruitment rates (for twin trials). TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ( ACTRN12615000672550 ). Registered 29 June 2015.