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Concept: Tour de Georgia


This study used a within-subjects design to assess the effect of three common cellular telephone (cell phone) functions (texting, talking, listening to music) on planned exercise. Forty-four young adults (n = 33 females, 21.8 ± 1.3 years) each participated in four, separate, 30-minute exercise conditions on a treadmill in a random order. During each condition, the treadmill speed display was covered and grade was fixed at zero. However, participants were able to alter treadmill speed as desired. Throughout the texting and talking conditions, research personnel used a pre-determined script to simulate cell phone conversations. During the music condition, participants used their cell phone to listen to music of their choice. Finally, participants completed a control condition with no cell phone access. For each condition, average treadmill speed, heart rate and liking (via visual analog scale) were assessed. Treadmill speed (3.4 ± 1.3 miles∙hour-1), heart rate (122.3 ± 24.3 beats∙min-1) and liking (7.5 ± 1.5 cm) in the music condition were significantly (p ≤ 0.014) greater than all other conditions. Treadmill speed in the control condition (3.1 ± 1.2 miles∙hour-1) was significantly (p = 0.04) greater than both texting and talking (2.8 ± 1.1 miles∙hour-1 each). Heart rate during the control condition (115.4 ± 22.8 beats∙min-1) was significantly (p = 0.04) greater than texting (109.9 ± 16.4 beats∙min-1) but not talking (112.6 ± 16.1 beats∙min-1). Finally, liking during the talking condition (5.4 ± 2.2 cm) was greater (p = 0.05) than the control (4.3 ± 2.2 cm) but not the texting (5.1 ± 2.2 cm) conditions. In conclusion, using a cell phone for listening to music can increase the intensity (speed and heart rate) and liking of a bout of treadmill exercise. However, other common cell phone uses (texting and talking) can interfere with treadmill exercise and reduce intensity.

Concepts: Sound, UCI race classifications, Mobile phone, Text messaging, Tour de Georgia, Cellular network


Objective To study cardiac, sleep-related, and emotional reactions to playing violent (VG) versus nonviolent video games (NVG) in adolescents with different gaming habits. Methods Thirty boys (aged 13-16 years, standard deviation = 0.9), half of them low-exposed (≤1 h/d) and half high-exposed (≥3 h/d) to violent games, played a VG/NVG for 2 hours during two different evenings in their homes. Heart rate (HR) and HR variability were registered from before start until next morning. A questionnaire about emotional reactions was administered after gaming sessions and a sleep diary on the following mornings. Results During sleep, there were significant interaction effects between group and gaming condition for HR (means [standard errors] for low-exposed: NVG 63.8 [2.2] and VG 67.7 [2.4]; for high-exposed: NVG 65.5 [1.9] and VG 62.7 [1.9]; F(1,28) = 9.22, p = .005). There was also a significant interaction for sleep quality (low-exposed: NVG 4.3 [0.2] and VG 3.7 [0.3]); high-exposed: NVG 4.4 [0.2] and VG 4.4 [0.2]; F(1,28) = 3.51, p = .036, one sided), and sadness after playing (low-exposed: NVG 1.0 [0.0] and VG 1.4 [0.2]; high-exposed: NVG 1.2 [0.1] and VG 1.1 [0.1]; (F(1,27) = 6.29, p = .009, one sided). Conclusions Different combinations of the extent of (low versus high) previous VG and experimental exposure to a VG or an NVG are associated with different reaction patterns-physiologically, emotionally, and sleep related. Desensitizing effects or selection bias stand out as possible explanations.

Concepts: Standard deviation, Emotion, UCI race classifications, Deviation, Video game, Tour de Georgia, Nonviolent video game, Standard error


The study aimed for evaluating the diagnostic value of a 2D Turbo Spin Echo (TSE) magnetic resonance (MR) imaging sequence implanted slice-encoding metal artifact correction (SEMAC) and view-angle tilting (VAT) in patients with spinal instrumentation.Sixty-seven consecutive patients with an average age of 59.7 ± 17.8 years old (range: 32-75 years) were enrolled in this study. Both sagittal, axial T1-weighted and T2-weighted MRI images were acquired with a standard TSE sequence and a high-bandwidth TSE sequence implemented the SEMAC and VAT techniques. Three continuous sections around the instrumentation in axial and sagittal images were selected for quantitative evaluation. The measurement included cumulative areas of signal void on axial images and the length of spinal canal obscuration on sagittal images. Three radiologists independently evaluated all images blindly. The inter-observer reliability was evaluated with inter-class coefficient. We defined patients with discomfortable symptoms caused by spinal instrumentation as spinal instrumentation adverse reaction.Visualizations of all periprosthetic anatomic structures were significantly better for SEMAC-VAT compared with standard imaging. For axial images, the area of signal void at the level of the instrumentation were statistically reduced with SEMAC-VAT TSE sequences than with standard TSE sequences for T2-weighted images (9.9 ± 2.6 cm vs 29.8 ± 14.7 cm, P < 0.001). For sagittal imaging, the length of spinal canal obscuration at the level of the instrumentation was reduced from 5.2 ± 2.0 cm to 1.2 ± 0.6 cm on T2-weighted images (P < 0.001), and from 4.8 ± 2.1 cm to 1.1 ± 0.5 cm on T1-weighted images with SEMAC-VAT sequences (P < 0.001). Interobserver agreement for visualization of anatomic structures and image quality was good for both SEMAC-VAT (k = 0.77 and 0.68, respectively) and standard (k = 0.74 and 0.80, respectively) imaging. The number of abnormal findings noted on SEMAC images (59 findings) was significantly higher than detected on standard images (40 findings). The incidence rate of spinal instrumentation adverse reaction was 38.81%.MR images with SEMAC-VAT can significantly reduce metal artifacts for spinal instrumentation and improve delineation of the instrumentation and periprosthetic region. Furthermore, SEMAC-VAT technique can improve diagnostic accuracy in patients with post-instrumentation spinal diseases.

Concepts: Series, Magnetic resonance imaging, Sequence, Anatomy, Human anatomy, UCI race classifications, Tour de Georgia, Limit of a sequence


Rationale: Given the inconclusive science on the long-term effects of marijuana exposure on lung function, the increasing tetrahydrocannabinol composition of marijuana over time and the increasing legal accessibility of the substance, continued investigation is needed. Objectives: To determine the association between recent and long-term marijuana smoke exposure with spirometric parameters of lung function and symptoms of respiratory health in a large cohort of U.S. adults. Methods: This is a cross-sectional study of U.S. adults who participated in the 2007-2008 and 2009-2010 National Health and Nutrition Examination Survey cycles, using the data from the standardized spirometry and survey questions performed during these years. Measurements and Main Results: In the combined 2007-2010 cohorts, 59.1% had used marijuana at least once in their lifetime and 12.2% had used in the past month. For each additional day of marijuana use in the prior month, there were no associated changes in mean percent predicted FEV1 (0.002% ± 0.04%, P=0.9) but there was an associated increase in mean percent predicted FVC (0.13% ± 0.03%, P<0.01) and decrease in mean FEV1/FVC (-0.1% ± 0.04%, P<0.01). In multivariable regressions, 1-5 and 6-20 joint-years of marijuana use were not associated with an FEV1/FVC < 70% (OR 1.1, 95% confidence interval (CI) 0.7-1.6, P=0.8 and OR 1.2, 95% CI 0.8-1.8, p=0.4, respectively) while > 20 joint-years were associated with a FEV1/FVC <70% (OR 2.1, 95% CI 1.1-3.9, P=0.02). For each additional marijuana joint-year smoked, there was no associated change in mean percent predicted FEV1 (0.02% ± 0.02%, P=1.0), but there was an increase in mean percent predicted FVC (0.07% ± 0.02%, P<0.01) and a decrease in mean FEV1/FVC (-0.03% ± 0.01%, P=0.02). Conclusions: In a large cross-section of U.S. adults, lifetime marijuana use up to 20 joint-years is not associated with adverse changes in spirometric measures of lung health. While > 20 joint-years of marijuana exposure was associated with a two-fold increased odds of a FEV1/FVC < 70%, this was the result of an increase in FVC rather than the disproportional decrease in FEV1 seen with obstructive lung diseases.

Concepts: Epidemiology, Pulmonology, Asthma, Prediction interval, Spirometry, Obstructive lung disease, UCI race classifications, Tour de Georgia


Abstract Sleep is an essential component for athlete recovery due to its physiological and psychological restorative effects, yet few studies have explored the habitual sleep/wake behaviour of elite athletes. The aims of the present study were to investigate the habitual sleep/wake behaviour of elite athletes, and to compare the differences in sleep between athletes from individual and team sports. A total of 124 (104 male, 20 female) elite athletes (mean ± s: age 22.2 ± 3.0 years) from five individual sports and four team sports participated in this study. Participants' sleep/wake behaviour was assessed using self-report sleep diaries and wrist activity monitors for a minimum of seven nights (range 7-28 nights) during a typical training phase. Mixed-effects analyses of variances were conducted to compare the differences in the sleep/wake behaviour of athletes from two sport types (i.e. individual and team). Overall, this sample of athletes went to bed at 22:59 ± 1.3, woke up at 07:15 ± 1.2 and obtained 6.8 ± 1.1 h of sleep per night. Athletes from individual sports went to bed earlier, woke up earlier and obtained less sleep (individual vs team; 6.5 vs 7.0 h) than athletes from team sports. These data indicate that athletes obtain well below the recommended 8 h of sleep per night, with shorter sleep durations existing among athletes from individual sports.

Concepts: Psychology, Male, Behavior, Human behavior, UCI race classifications, Evolutionary physiology, Tour de Georgia, Internet Explorer


Prior data in women suggest that incident clinically undiagnosed radiographic vertebral fractures (VFs) often are symptomatic, but misclassification of incident clinical VF may have biased these estimates. There are no comparable data in men. To evaluate the association of incident clinically undiagnosed radiographic VF with back pain symptoms and associated activity limitations, we used data from the Osteoporotic Fractures in Men (MrOS) Study, a prospective cohort study of community-dwelling men aged ≥65 years. A total of 4396 men completed spine X-rays and symptom questionnaires at baseline and visit 2, about 4.6 years later. Incident clinical VFs during this interval were defined by self-reported clinical diagnosis plus community imaging showing a centrally adjudicated ≥1 increase in semiquantitative (SQ) grade in any thoracic or lumbar vertebra versus baseline study X-rays. Incident radiographic VFs (≥1 increase in SQ grade between baseline and visit 2 study X-rays) were categorized as radiographic-only (not clinically diagnosed) or radiographic plus clinical (also clinically diagnosed). Multivariable-adjusted log binomial regression was used to calculate prevalence ratios (PRs) and 95% confidence intervals (CIs). Men with incident radiographic plus clinical VF were most likely to have back pain symptoms and associated activity limitation at follow-up. However, versus men without incident VF, those with incident radiographic-only VF also were significantly more likely at follow-up to report any back pain (70% versus 59%; PR, 1.2 [95% CI, 1.1 to 1.3]), severe back pain (8% versus 4%; PR, 1.9 [95% CI, 1.1 to 3.3]), bother from back pain most/all the time (22% versus 13%; PR, 1.7 [95% CI, 1.3 to 2.2]), and limited usual activity from back pain (34% versus 18%; PR, 1.9 [95% CI, 1.5 to 2.4]). Clinically undiagnosed, incident radiographic VFs were associated with an increased likelihood of back pain symptoms and associated activity limitation. Results suggest incident radiographic-only VFs often were symptomatic, and were associated with both new and worsening back pain. Preventing these fractures may reduce back pain and related disability in older men. © 2017 American Society for Bone and Mineral Research.

Concepts: Osteoporosis, Cohort study, Clinical trial, Vertebral column, Symptoms, Vertebra, UCI race classifications, Tour de Georgia


Context: Various drugs affect body weight as a side effect. Objective: We conducted this systematic review and meta-analysis to summarize the evidence about commonly prescribed drugs and their association with weight change. Data Sources: MEDLINE, DARE, and the Cochrane Database of Systematic Reviews were searched to identify published systematic reviews as a source for trials. Study Selection: We included randomized trials that compared an a priori selected list of drugs to placebo and measured weight change. Data Extraction: We extracted data in duplicate and assessed the methodological quality using the Cochrane risk of bias tool. Results: We included 257 randomized trials (54 different drugs; 84 696 patients enrolled). Weight gain was associated with the use of amitriptyline (1.8 kg), mirtazapine (1.5 kg), olanzapine (2.4 kg), quetiapine (1.1 kg), risperidone (0.8 kg), gabapentin ( 2.2 kg), tolbutamide (2.8 kg), pioglitazone (2.6 kg), glimepiride (2.1 kg), gliclazide (1.8 kg), glyburide (2.6 kg), glipizide (2.2 kg), sitagliptin (0.55 kg), and nateglinide (0.3 kg). Weight loss was associated with the use of metformin (1.1 kg), acarbose (0.4 kg), miglitol (0.7 kg), pramlintide (2.3 kg), liraglutide (1.7 kg), exenatide (1.2 kg), zonisamide (7.7 kg), topiramate (3.8 kg), bupropion (1.3 kg), and fluoxetine (1.3 kg). For many other remaining drugs (including antihypertensives and antihistamines), the weight change was either statistically nonsignificant or supported by very low-quality evidence. Conclusions: Several drugs are associated with weight change of varying magnitude. Data are provided to guide the choice of drug when several options exist and institute preemptive weight loss strategies when obesogenic drugs are prescribed.

Concepts: Obesity, Evidence-based medicine, Systematic review, Randomized controlled trial, Anti-diabetic drug, Sulfonylurea, UCI race classifications, Tour de Georgia


There is a demand for effective training methods that encourage exercise adherence during advancing age, particularly in sedentary populations. This study examined the effects of high-intensity interval training (HIIT) exercise on health-related quality of life (HRQL), aerobic fitness and motivation to exercise in ageing men. Participants consisted of males who were either lifelong sedentary (SED; N = 25; age 63 ± 5 years) or lifelong exercisers (LEX; N = 19; aged 61 ± 5 years). [Formula: see text] and HRQL were measured at three phases: baseline (Phase A), week seven (Phase B) and week 13 (Phase C). Motivation to exercise was measured at baseline and week 13. [Formula: see text] was significantly higher in LEX (39.2 ± 5.6 ml kg min(-1)) compared to SED (27.2 ± 5.2 ml kg min(-1)) and increased in both groups from Phase A to C (SED 4.6 ± 3.2 ml kg min(-1), 95 % CI 3.1 - 6.0; LEX 4.9 ± 3.4 ml kg min(-1), 95 % CI 3.1-6.6) Physical functioning (97 ± 4 LEX; 93 ± 7 SED) and general health (70 ± 11 LEX; 78 ± 11 SED) were significantly higher in LEX but increased only in the SED group from Phase A to C (physical functioning 17 ± 18, 95 % CI 9-26, general health 14 ± 14, 95 % CI 8-21). Exercise motives related to social recognition (2.4 ± 1.2 LEX; 1.5 ± 1.0 SED), affiliation (2.7 ± 1.0 LEX; 1.6 ± 1.2 SED) and competition (3.3 ± 1.3 LEX; 2.2 ± 1.1) were significantly higher in LEX yet weight management motives were significantly higher in SED (2.9 ± 1.1 LEX; 4.3 ± 0.5 SED). The study provides preliminary evidence that low-volume HIIT increases perceptions of HRQL, exercise motives and aerobic capacity in older adults, to varying degrees, in both SED and LEX groups.

Concepts: Exercise, Gerontology, Ageing, UCI race classifications, Exercise physiology, High-intensity interval training, Tour de Georgia, Interval training


Individuals with high levels of hostility may be more susceptible to the influence of television on violence and risk taking behaviors. This study aimed to examine whether hostile personality trait modifies the association between TV viewing and injuries. It is a prospective study of 4,196 black and white adults aged 23 to 35 in 1990/1. Cross-lagged panel models were analyzed at three 5-year time periods to test whether TV viewing predicted injuries. Covariates were gender, race, and education. Individuals who watched more TV (0 hours, 1-3 hours, 4-6 hours, and ≥7 hours) were more likely to have a hospitalization for an injury in the following 5 years across each of the three follow-up periods [OR = 1.5 (95%CI = 1.2, 1.9), 1.5 (1.1, 1.9), and 1.9 (1.3, 2.6)]. The cross-lagged effects of TV viewing to injury were significant in the high hostility group [OR = 1.4 (95%CI = 1.1, 1.8), 1.3 (1.0, 1.8), and 2.0 (1.3, 2.9)] but not in the low hostility group [OR = 1.3 (95%CI = 0.6, 2.2), 1.1 (0.6, 2.1), and 1.4 (0.7, 2.8)]. Additionally, a statistically significant difference between the two models (P < 0.001) suggested that hostility moderated the relationship between TV watching and injury. These findings suggest that individuals who watch more TV and have a hostile personality trait may be at a greater risk for injury.

Concepts: Psychology, Personality psychology, Statistical significance, UCI race classifications, Trait theory, Tour de Georgia, Union Cycliste Internationale


Question: Do physiotherapists demonstrate explicit and implicit weight stigma? Design: Cross-sectional survey with partial blinding of participants. Participants responded to the Anti-Fat Attitudes questionnaire and physiotherapy case studies with body mass index (BMI) manipulated (normal or overweight/obese). The Anti-Fat Attitudes questionnaire included 13 items scored on a Likert-type scale from 0 to 8. Any score greater than zero indicated explicit weight stigma. Implicit weight stigma was determined by comparing responses to case studies with people of different BMI categories (where responses were quantitative) and by thematic and count analysis for free-text responses. Participants: Australian physiotherapists (n=265) recruited via industry networks. Results: The mean item score for the Anti-Fat Attitudes questionnaire was 3.2 (SD 1.1), which indicated explicit weight stigma. The Dislike (2.1, SD 1.2) subscale had a lower mean item score than the Fear (3.9, SD 1.8) and Willpower (4.9, SD 1.5) subscales. There was minimal indication from the case studies that people who are overweight receive different treatment from physiotherapists in clinical parameters such as length of treatment time (p=0.73) or amount of hands-on treatment (p=0.88). However, there were indications of implicit weight stigma in the way participants discussed weight in free-text responses about patient management. Conclusion: Physiotherapists demonstrate weight stigma. This finding is likely to affect the way they communicate with patients about their weight, which may negatively impact their patients. It is recommended that physiotherapists reflect on their own attitudes towards people who are overweight and whether weight stigma influences treatment focus. [Setchell J, Watson B, Jones L, Gard M, Briffa K (2014) Physiotherapists demonstrate weight stigma: a cross-sectional survey of Australian physiotherapists.Journal of Physiotherapy60:XXX-XXX.].

Concepts: Mass, Evaluation methods, Body mass index, UCI race classifications, Tour de Georgia