Do nocturnal asthma attacks influence sleep parameters and inflammatory markers? A cross-sectional population-based study.

PURPOSE: To evaluate the effects of nocturnal asthma on sleep parameters and inflammatory markers according to the severity of the condition in participants in the São Paulo Epidemiologic Sleep Study (EPISONO). METHODS: Data from the 2007 and 2018 editions of the EPISONO study were utilized. Subjects completed validated sleep and respiratory questionnaires, underwent nocturnal polysomnography and spirometry tests, and provided blood samples for the assessment of inflammatory parameters. RESULTS: Of 72 participants (67% women), 53% (n = 38) had intermittent nocturnal asthma symptoms and 47% (n = 34) had persistent asthma (mild, moderate, and severe). Individuals with persistent nocturnal symptoms had a higher body mass index (BMI), were more likely to have respiratory symptoms, and had worse lung function, a higher apnea-hypopnea index (AHI), and higher desaturation index than individuals with intermittent nocturnal symptoms. Positive associations were identified between nocturnal asthma and obstructive sleep apnea (OSA). A higher frequency of OSA was observed in participants with persistent asthma and participants with OSA were more likely to have persistent than intermittent asthma. However, there were no significant differences between the immunological parameters of those with intermittent or persistent asthma. CONCLUSIONS: This study highlights the relevance of nocturnal symptoms as a valuable indicator of asthma severity. The findings also add to the existing body of evidence linking nocturnal asthma and OSA.

Bidirectional Association Between Sleep Quality and Low Back Pain in Older Adults: A Longitudinal Observational Study.

OBJECTIVE: To investigate the bidirectional relationship by determining whether baseline sleep quality predicts pain intensity and whether baseline pain intensity predicts sleep quality in older individuals with chronic low back pain (LBP). DESIGN: A prospective longitudinal cohort study with a 6-month follow-up period. SETTING: Community. PARTICIPANTS: Older adults with LBP aged 60 years or older (N=215). INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Data collection occurred at baseline and at 6 months. Pain intensity and sleep quality were measured in both time points of assessment using the numeric pain rating scale (range, 0-10) and the Pittsburg Sleep Quality Index. At baseline, we also collected information on demographic anthropometric variables, cognitive status, depression, and comorbidities. Multivariable linear regression analyses adjusted for potential covariates were performed. RESULTS: A total of 215 individuals with LBP were recruited. Poor sleep quality at baseline predicted high pain intensity at 6 months (ß coefficient, 0.18; 95% confidence interval [CI], 0.07-0.30). High pain intensity at baseline predicted poor sleep quality 6 months later (ß coefficient, 0.14; 95% CI, 0.01-0.26). CONCLUSION: Our findings give some support to the bidirectional relationship between pain and sleep quality in older individuals with LBP. This bidirectional relationship may be used as prognostic information by clinicians when managing patients with LBP.

Relationship of sleep quality with screen-based sedentary time and physical activity in adolescents - the moderating effect of body mass index.

OBJECTIVE: To analyze the association of sleep quality with reported screen-based sedentary time and reported physical activity, among overweight adolescents. METHODS: Adolescents aged 10 to 17 years enrolled in public and private schools were included. Data collection was carried out during the school semesters of 2014-2015 and participants who did not participate in all evaluations were excluded. Sleep quality and physical activity were assessed by validated questionnaires. Screen-based sedentary time was assessed by self-reported mean daily hours spent on television, computer, smartphone/tablet, and videogames. Body mass index was objectively measured and adolescents were classified into normal weight and overweight according to cutoff points for age and sex. Multiple linear regression models adjusted by covariates (age, sex, ethnicity, and socioeconomic status) were used to analyze the relationship between variables. RESULTS: A total of 1008 adolescents were assessed, with a mean age of 13.2 ± 2.4 years and a mean body mass index of 20.4 ± 4.3 kg/m2. Overweight was observed in 28.0% of sample, while 53.0% reported non-white ethnicity. Self-reported screen-based sedentary time was significantly related to poor sleep quality in adolescents (ß = 0.116, p = 0.005), remaining significant only in those who were normal weight (ß = 0.101, p = 0.007) in sensitivity analysis. Self-reported physical activity showed no relationship with sleep quality in both normal weight and overweight adolescents. CONCLUSION: Self-reported screen-based sedentary time was associated with poor sleep quality in adolescents, mainly among those with normal weight. The time spent on screen-based sedentary activities can impair sleep quality even in normal weight adolescents.

Characteristics Associated With People With Chronic Low Back Pain Meeting Physical Activity Guidelines and Recommendations for Sedentary Behavior: A Cross-Sectional Study.

OBJECTIVE: The purpose of this study was to identify factors associated with meeting physical activity guidelines and sedentary recommendations in people with chronic low back pain (LBP). METHODS: This was a cross-sectional study including 171 people with chronic LBP. Trained assessors collected information regarding demographic, anthropometric, and clinical data. Physical activity levels and sedentary time were objectively measured using a tri-axial accelerometer. Participants were classified as being physically active (ie, performing at least 150 minutes of moderate or 75 minutes of vigorous physical activity per week) and sedentary (ie, more than 8 hours of time spent in sedentary activities per day). Multivariable logistic regression analyses were used to determine the association of being physically active or sedentary with the range of demographic, anthropometric and clinical variables. RESULTS: Our results showed that although lower body mass index (odds ratio [OR] = 0.91; 95% CI: 0.85-0.98) and higher self-reported levels of leisure time physical activity (OR = 3.46; 95% CI: 1.94-6.15) were associated with being physically active, lower self-reported levels of physical activity at work (OR = 0.56; 95% CI: 0.39-0.81) was associated with being sedentary. CONCLUSION: Our findings showed that, in people with LBP, lower body mass index and higher levels of leisure time physical activity may be important factors for identifying those physically active. In contrast, lower levels of physical activity at work may be considered when identifying sedentary people with LBP. Future studies should consider these factors when designing interventions aiming to promote physical activity and decrease sedentary behavior in this population.

Association Between Clinical Tests Related to Motor Control Dysfunction and Changes in Pain and Disability After Lumbar Stabilization Exercises in Individuals With Chronic Low Back Pain.

OBJECTIVE: To investigate whether clinical tests used to detect motor control dysfunction can predict improvements in pain and disability in patients with chronic nonspecific low back pain (LBP) who have undergone an 8-week lumbar stabilization exercise program. STUDY DESIGN: A prospective cohort study. SETTING: Outpatient physical therapy university clinic. PARTICIPANTS: Seventy people with chronic nonspecific LBP were recruited, and 64 completed the exercise program (N=64). INTERVENTIONS: The lumbar stabilization program was provided twice a week for 8 weeks. MAIN OUTCOME MEASURES: Pain intensity (11-point numerical rating scale) and disability (Roland Morris Disability Questionnaire) and clinical tests, such as the Deep Muscle Contraction (DMC) scale, Clinical Test of Thoracolumbar Dissociation (CTTD), and Passive Lumbar Extension (PLE) test. Univariate and multivariate linear regression models were used in the prediction analysis. RESULTS: Mean changes in pain intensity and disability following the 8-week stabilization program were -3.8 (95% confidence interval [CI], -3.2 to -4.4) and -7.4 (95% CI, -6.3 to -8.5), respectively. Clinical test scores taken at baseline did not predict changes in pain and disability at 8-week follow-up. CONCLUSION: Our findings revealed that the DMC scale, CTTD, PLE test, clinical tests used to assess motor control dysfunction, do not predict improvements in pain and disability in patients with chronic nonspecific LBP following an 8-week lumbar stabilization exercise program.

Association of perceived physical overload at work with pain and disability in patients with chronic non-specific low back pain: a 6-month longitudinal study.

BACKGROUND: Physical overload at work has been described as a risk factor for the development of low back pain. However, few studies have investigated the prognostic value of perceived physical overload at work in patients with chronic low back pain. OBJECTIVE: To investigate the association of perceived physical overload at work with pain and disability over a period of 6 months in patients with chronic non-specific low back pain. METHODS: Patients with chronic LBP seeking physiotherapy care were considered eligible. Clinical data collected were: pain intensity, disability, fear of movement, depression and perceived physical overload at work. Linear regression analyses were used to investigate the association of perceived physical workload at work at baseline with pain intensity and disability at 6-month follow-up. The total score and the score for each category of the physical overload at work questionnaire were analyzed separately. RESULTS: Ninety-two patients with chronic low back pain were included in the analysis. The subcategories of the physical overload questionnaire were not significantly associated with pain intensity at 6-month follow-up. However, age, disability at baseline and perceived physical overload related to postures of the trunk (B = -0.60 95% CI - 1.18 to - 0.02) and related to positions of the arms (B = 2.72 95% CI 0.07 to 5.37) were significantly associated with disability at 6-month follow-up. CONCLUSION: Although perceived physical overload at work was not associated with pain intensity in patients with chronic LBP at 6-month follow-up, we identified a significant association between perceived physical overload related to postures of the trunk and positions of the arms with disability at 6-month follow-up. These slides can be retrieved under Electronic Supplementary Material.

Physical Activity-Based Interventions Using Electronic Feedback May Be Ineffective in Reducing Pain and Disability in Patients With Chronic Musculoskeletal Pain: A Systematic Review With Meta-Analysis.

OBJECTIVE: To investigate the effectiveness of physical activity-based interventions using electronic feedback in reducing pain and disability compared to minimal or no interventions in patients with chronic musculoskeletal pain. DATA SOURCES: The following electronic databases were searched: EMBASE, MEDLINE, Cochrane Central Register of Controlled Trials, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, SPORTDiscus, Web of Science, Physiotherapy Evidence Database, and main clinical trial registers. STUDY SELECTION: Randomized controlled trials investigating the effect of physical activity interventions using electronic feedback (eg, physical activity monitors) on pain and disability compared to minimal or no interventions in adults with chronic musculoskeletal pain were considered eligible. DATA EXTRACTION: Pooled effects were calculated using the standardized mean difference (SMD), and the Grading of Recommendations Assessment, Development and Evaluation system was used to assess the overall quality of the evidence. DATA SYNTHESIS: Four published randomized controlled trials and 4 registered unpublished randomized controlled trials were included. At short-term follow-up, pooled estimations showed no significant differences in pain (2 trials: n=116; SMD=-.50; 95% confidence interval, -1.91 to 0.91) and disability (2 trials: n=116; SMD=-.81; 95% confidence interval, -2.34 to 0.73) between physical activity-based interventions and minimal interventions. Similarly, nonsignificant results were found at intermediate-term follow-up. According to Grading of Recommendations Assessment, Development and Evaluation, the overall quality of the evidence was considered to be of low quality. CONCLUSIONS: Our findings suggest that physical activity-based interventions using electronic feedback may be ineffective in reducing pain and disability compared to minimal interventions in patients with chronic musculoskeletal pain. Clinicians should be cautious when implementing this intervention in patients with chronic musculoskeletal pain.

Physical activity and disability measures in chronic non-specific low back pain: a study of responsiveness.

OBJECTIVES:: To compare the responsiveness of disability measures with physical activity measures in patients with chronic low back pain (CLBP) undergoing a course of physical therapy treatment. DESIGN:: This is a prospective cohort study with two-month follow-up. SUBJECTS:: A total of 106 patients presenting with non-specific CLBP of more than three months duration were recruited. MAIN MEASURES:: Disability measures investigated were Quebec Back Pain Disability Scale and Roland Morris Disability Questionnaire. Physical activity measures analyzed include the Baecke Habitual Physical Activity Questionnaire and objective measures derived from an accelerometer (i.e. total time spent in moderate-to-vigorous and light physical activity, number of steps and counts per minute). Disability and physical activity measures were collected at the baseline and after eight weeks of treatment. For the responsiveness analyses, effect size (ES) and standardized response mean (SRM) were calculated. Correlations between the change in disability and physical activity measures were calculated. RESULTS:: Responsiveness for disability measures was considered to be large with ESs ranging from -1.03 to -1.45 and SRMs ranging from -0.99 to -1.34, whereas all physical activity measures showed values lower than 0.20. Changes in disability measures did not correlate with changes in physical activity measures (correlation coefficients ranged from -0.10 to 0.09). CONCLUSION:: Disability measures were responsive after a course of physical therapy treatment in patients with CLBP. The lack of responsiveness in the physical activity measures might be due to the inability of these measures to detect change over time or the use of an intervention not designed to increase physical activity levels.

Fear of Movement Is Not Associated With Objective and Subjective Physical Activity Levels in Chronic Nonspecific Low Back Pain.

OBJECTIVES: To assess the association of physical activity measures, derived with an accelerometer and a self-reported questionnaire, with fear of movement in patients with chronic nonspecific low back pain (LBP) and to investigate the association between disability and fear of movement in this population. DESIGN: Cross-sectional study. SETTING: Outpatient physical therapy university clinics. PARTICIPANTS: Patients (N=119) presenting with nonspecific LBP of >3 months' duration. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Physical activity levels measured objectively with an accelerometer (ie, counts per minute, time spent in moderate-to-vigorous and light physical activity per day, number of steps per day, and number of 10-minute bouts of moderate-to-vigorous physical activity per day) and subjectively with a self-reported questionnaire (Baecke Physical Activity Questionnaire); fear of movement (Tampa Scale of Kinesiophobia); pain (11-point numerical rating scale); disability (Roland Morris Disability Questionnaire); and depression (Beck Depression Inventory). The associations were examined with correlational, univariate, and multivariable linear regression analyses. RESULTS: None of the objective physical activity measures were associated with fear of movement. The apparent association of self-reported physical activity levels with fear of movement (correlational analyses: r=-.18; P<.05; univariate regression analyses: ß=-.04; 95% confidence interval [CI], -.07 to -.01; P=.04) was not confirmed in multivariable analyses. Fear of movement was consistently associated with disability in both correlational (r=.42; P<.01) and multivariable (ß=.21; 95% CI, .11-.31; P<.001) analyses. CONCLUSIONS: Our data support one aspect of the fear-avoidance model-that higher fear of movement is associated with more disability-but not the aspect of the model linking fear of movement with inactivity.