https://onlinelibrary.wiley.com/doi/epdf/10.1002/acr.20543

Measures of Adult Pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP)

Low back pain is an extremely common problem that most people experience at some point in their life. While substantial heterogeneity exists among low back pain epidemiological studies limiting the ability to compare and pool data, estimates of the 1 year incidence of a first-ever episode of low back pain range between 6.3% and 15.4%, while estimates of the 1 year incidence of any episode of low back pain range between 1.5% and 36%. In health facility- or clinic-based studies, episode remission at 1 year ranges from 54% to 90%; however, most studies do not indicate whether the episode was continuous between the baseline and follow-up time point(s). Most people who experience activity-limiting low back pain go on to have recurrent episodes. Estimates of recurrence at 1 year range from 24% to 80%. Given the variation in definitions of remission and recurrence, further population-based research is needed to assess the daily patterns of low back pain episodes over 1 year and longer. There is substantial information on low back pain prevalence and estimates of the point prevalence range from 1.0% to 58.1% (mean: 18.1%; median: 15.0%), and 1 year prevalence from 0.8% to 82.5% (mean: 38.1%; median: 37.4%). Due to the heterogeneity of the data, mean estimates need to be interpreted with caution. Many environmental and personal factors influence the onset and course of low back pain. Studies have found the incidence of low back pain is highest in the third decade, and overall prevalence increases with age until the 60-65 year age group and then gradually declines. Other commonly reported risk factors include low educational status, stress, anxiety, depression, job dissatisfaction, low levels of social support in the workplace and whole-body vibration. Low back pain has an enormous impact on individuals, families, communities, governments and businesses throughout the world. The Global Burden of Disease 2005 Study (GBD 2005) is currently making estimates of the global burden of low back pain in relation to impairment and activity limitation. Results will be available in 2011. Further research is needed to help us understand more about the broader outcomes and impacts from low back pain.

The Epidemiology of low back pain.

Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd preventing chronic diseases a vital investment to read.

Preventing Chronic Diseases: A Vital Investment

The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis

A central question in developmental biology is whether and how mechanical forces serve as cues for cellular behavior and thereby regulate morphogenesis. We found that morphogenesis at the Arabidopsis shoot apex depends on the microtubule cytoskeleton, which in turn is regulated by mechanical stress. A combination of experiments and modeling shows that a feedback loop encompassing tissue morphology, stress patterns, and microtubule-mediated cellular properties is sufficient to account for the coordinated patterns of microtubule arrays observed in epidermal cells, as well as for patterns of apical morphogenesis.

http://science.sciencemag.org/content/sci/322/5908/1650.full.pdf

Developmental Patterning by Mechanical Signals in Arabidopsis

Background Patient satisfaction is an important patient-centered health outcome. To date, no systematic review of the literature on patient satisfaction with musculoskeletal physical therapy care has been conducted.

Purpose The purpose of this study was to systematically and critically review the literature to determine the degree of patient satisfaction with musculoskeletal physical therapy care and factors associated with satisfaction.

Data Sources The databases CINAHL, MEDLINE, and EBM Reviews were searched from inception to September 2009.

Study Selection Articles were included if the design was a clinical trial, observational study, survey, or qualitative study; patient satisfaction was evaluated; and the study related to the delivery of musculoskeletal physical therapy services conducted in an outpatient setting. The search located 3,790 citations. Fifteen studies met the inclusion criteria.

Data Extraction Two authors extracted patient satisfaction data and details of each study.

Data Synthesis A meta-analysis of patient satisfaction data from 7 studies was conducted. The pooled estimate of patient satisfaction was 4.44 (95% confidence interval=4.41–4.46) on a scale of 1 to 5, where 5 indicates high satisfaction and 1 indicates high dissatisfaction. Additional data were summarized in tables and critically appraised.

Limitations Nonrespondent bias from individual studies may affect the accuracy and representativeness of these data.

Conclusion Patients are highly satisfied with musculoskeletal physical therapy care delivered across outpatient settings in northern Europe, North America, the United Kingdom, and Ireland. The interpersonal attributes of the therapist and the process of care are key determinants of patient satisfaction. An unexpected finding was that treatment outcome was infrequently and inconsistently associated with patient satisfaction. Physical therapists can enhance the quality of patient-centered care by understanding and optimizing these determinants of patient satisfaction.

/pdf/patient-satisfaction-with-musculoskeletal-physical-therapy-c856ud1uj6.pdf

Patient Satisfaction With Musculoskeletal Physical Therapy Care: A Systematic Review

Microtubule (MT) turnover within the four principal MT arrays, the cortical array, the preprophase band, the mitotic spindle and the phragmoplast, has been measured in living stamen hair cells of Tradescantia that have been injected with fluorescent neurotubulin. Using the combined techniques of confocal laser scanning microscopy and fluorescence redistribution after photobleaching (FRAP), we report that the half-time of turnover in spindle MTs is t 1/2 = 31 +/- 6 seconds, which is in excellent agreement with previous measurements of turnover in animal cell spindles. Tradescantia interphase MTs, however, exhibit turnover rates (t 1/2 = 67 +/- seconds) that are some 3.4-fold faster than those measured in interphase mammalian cells, and thus are revealed as being highly dynamic. Preprophase band and phragmoplast MTs have turnover rates similar to those of interphase MTs in Tradescantia. The spatial and temporal aspects of the fluorescence redistribution after photobleaching in all four MT arrays are more consistent with subunit exchange by the mechanism of dynamic instability than treadmilling. This is the first quantification of MT dynamics in plant cells.

Quantification of microtubule dynamics in living plant cells using fluorescence redistribution after photobleaching

Chronic low back pain (cLBP) has a tremendous personal and socioeconomic impact, yet the underlying pathology remains a mystery in the majority of cases. An objective measure of this condition, that augments self-report of pain, could have profound implications for diagnostic characterization and therapeutic development. Contemporary research indicates that cLBP is associated with abnormal brain structure and function. Multivariate analyses have shown potential to detect a number of neurological diseases based on structural neuroimaging. Therefore, we aimed to empirically evaluate such an approach in the detection of cLBP, with a goal to also explore the relevant neuroanatomy. We extracted brain gray matter (GM) density from magnetic resonance imaging scans of 47 patients with cLBP and 47 healthy controls. cLBP was classified with an accuracy of 76% by support vector machine analysis. Primary drivers of the classification included areas of the somatosensory, motor, and prefrontal cortices—all areas implicated in the pain experience. Differences in areas of the temporal lobe, including bordering the amygdala, medial orbital gyrus, cerebellum, and visual cortex, were also useful for the classification. Our findings suggest that cLBP is characterized by a pattern of GM changes that can have discriminative power and reflect relevant pathological brain morphology.

/pdf/multivariate-classification-of-structural-mri-data-detects-sgx8cc8rs5.pdf

Multivariate Classification of Structural MRI Data Detects Chronic Low Back Pain

Low back pain (LBP) is a common health condition that is often associated with disability, psychological distress and work loss. Worldwide, billions of dollars are expended each year trying to manage LBP, often with limited success. Recently, some researchers have reported that LBP patients also report sleep disturbance as a result of their LBP. However, as most of this evidence was obtained from highly selected groups of patients or from studies with small samples, high quality data on prevalence of sleep disturbance for patients with LBP are lacking. It is also unclear whether sleep disturbance is more likely to be reported by patients with recent-onset LBP than by patients with persistent LBP. Finally, it is not known whether high pain intensity, the most relevant condition-specific variable, is associated with higher rates of reported sleep disturbance. The present study aimed to determine the prevalence of reported sleep disturbance in patients with LBP. In addition, we aimed to determine whether sleep disturbance was associated with the duration of back pain symptoms and whether pain intensity was associated with reported sleep disturbance. Data from 1,941 patients obtained from 13 studies conducted by the authors or their colleagues between 2001 and 2009 were used to determine the prevalence of sleep disturbance. Logistic regression analyses explored associations between sleep disturbance, the duration of low back symptoms and pain intensity. The estimated prevalence of sleep disturbance was 58.7% (95% CI 56.4–60.7%). Sleep disturbance was found to be dependent on pain intensity, where each increase by one point on a ten-point visual analogue scale (VAS) was associated with a 10% increase in the likelihood of reporting sleep disturbance. Our findings indicate that sleep disturbance is common in patients with LBP. In addition, we found that the intensity of back pain was only weakly associated with sleep disturbance, suggesting that other factors contribute to sleep problems for LBP patients.

/pdf/prevalence-of-sleep-disturbance-in-patients-with-low-back-42a53qq5v7.pdf

Prevalence of sleep disturbance in patients with low back pain

https://onlinelibrary.wiley.com/doi/pdf/10.1002/art.24162

Julia M. Hush

Papers

Patient Satisfaction With Musculoskeletal Physical Therapy Care: A Systematic Review

Quantification of microtubule dynamics in living plant cells using fluorescence redistribution after photobleaching

Multivariate Classification of Structural MRI Data Detects Chronic Low Back Pain

Prevalence of sleep disturbance in patients with low back pain

Recovery: What does this mean to patients with low back pain?