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Record W4238193254 · doi:10.1249/fit.0000000000000056

Research Bites

2014· article· en· W4238193254 on OpenAlexaboutno aff
Mary M. Yoke

Bibliographic record

VenueACSMʼs Health & Fitness Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsSittingDemographyEnergy expenditurePhysical activityConsumption (sociology)MedicineCaloric theoryLeisure timeGerontologyPsychologyPhysical therapy

Abstract

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MORE ON THE ADVANTAGES OF STANDINGEvidence is mounting with regard to the harmful effects of constant sitting. We now know that even bouts of moderate-to-vigorous physical activity may not be sufficient to undo the negative outcomes resulting from hours of sedentary behavior. But many questions remain. For example, is standing more throughout the day a viable alternative? Does increased standing time, independent of moderate-to-vigorous physical activity, have a favorable impact on health even though the energy expenditure of standing quietly is low (∼1.2 METs), with almost the same caloric cost as sitting? In a recent article, Katzmarzyk (4) examined the relationship between standing time and the increased risk of death in 16,586 Canadian adults during a 12-year period. Subjects were asked to rate how much time they spent standing (e.g., almost all of the time, about three fourths of the time, about one half of the time, about one fourth of the time, and almost none of the time). Age, smoking, alcohol consumption, leisure time, moderate-to-vigorous physical activity levels, and PAR-Q responses were evaluated. The major finding of this study is that there appears to be a strong relationship between standing time and cumulative survival, especially in those who do not meet the current physical activity recommendations. In other words, the more time a person spends standing, the lower the risk of premature death. Interestingly, the greatest difference was between those who stood one fourth of the time and those who almost never stood. In terms of all-cause mortality, choosing to stand even a relatively small percentage of the time apparently is much better than constant sitting. And for those individuals who stood the most, a 33% lower risk of mortality was observed when compared with those who were the most sedentary. As a caveat, Katzmarzyk (4) does point out that continuous long-term standing may pose some health concerns; these include an increased risk of varicose veins, as well as fatigue. However, for most people, standing more often seems to be a low-risk, high-benefit way to impact health favorably. All rise! STAND UP FOR FITNESS? The authors of another article (5) suggest that much of the public is not yet aware of the importance of increasing standing time and decreasing sedentary behavior. Rutten and coworkers (5) write that sitting often is a matter of habit and that people may not be conscious of how much they’re sitting or of how to break the habit. To that end, the authors propose the development of a recognizable term that potentially could be turned into a verb; such a term needs to be easy to understand, has a “stickiness” factor (meaning that it is memorable), and describes an action that is easy to implement anywhere. They have coined the acronym STUFF, which means Stand Up For Fitness. If STUFF became familiar to the general public, it’s conceivable that people may use it in sentences such as this one: “Everyone, it’s time to STUFF; this meeting has been going on for 30 minutes!” During college lectures, the authors state that they include a slide every 30 minutes that says STUFF, and students then stand for 5 minutes while the session continues. Apparently, the students’ reaction is positive! Is it possible that this user-friendly term could enter the public vernacular and help swerve people away from sedentary behavior? S.W.E.A.T. WORKS! A 2013 study (6) found that older women showed significant improvements in several functional fitness parameters after participating in water exercise classes using the S.W.E.A.T.™ method. A total of 66 women (aged 60 to 89 years) were divided into either a water exercise group or a control group. Both groups were tested before and after a 16-week period using nine functional activities of daily living assessments; these included tests for both static and dynamic balance, the sit-and-reach test, a 30-second sit-to-stand assessment, the up-and-go test for agility, a test of walking speed, a stair climb, and a biceps curl measurement. During the study, the exercise group participated in a chest-level water exercise class for 45 minutes 3 times a week. The result? When compared with the control group, the water exercise group improved markedly in all parameters except dynamic balance. Specifically, an 8% improvement in flexibility, a 31% improvement on the sit-to-stand test, a 16% improvement in walking speed, and a 22% improvement in the ability to climb stairs. And after the study, water exercise participants reported they were more active and felt less likely to fall. S.W.E.A.T. is an acronym that helps identify variations of movements for the in-water exercise class. S = changes in Surface area and Speed; W = changes in the Working positions in the water (e.g., feet grounded on the bottom of the pool or working with the body suspended); E = Enlarging the movement and increasing the range of motion; A = working Around the body by changing the plane of motion; T = Traveling through the water. For an instructor, cuing and using these variations help create progressions that allow participants to adjust the workout to their own needs, increasing or decreasing the intensity and/or complexity as desired. The pool workout used in the study consisted of 10 minutes of warm-up and cool-down moves and 10 to 35 minutes of training; moves used in the training segment included progressions for functional activities of daily living, muscle endurance training, and cardiorespiratory endurance training. Equipment such as webbed gloves, paddles, and elastic resistance bands also were used to help create overload.Water-based exercise may hold more appeal than land-based exercise for older adults because the fear and risk of falling are minimized and arthritic joints are supported. In terms of effectiveness, the S.W.E.A.T. method of water exercise seems to be an excellent way for older women to improve their mobility, agility, strength, gait, and static balance on land, thus helping to reduce the incidence of falls. CROSSFIT® ENTHUSIASTS! DOES MUSIC HELP WITH AMRAP? A major goal of a CrossFit® workout is to perform as many reps as possible (AMRAP) within a given time frame. CrossFit, of course, is the highly popular, sometimes controversial, high-intensity workout that has been labeled an extreme conditioning program (1). Researchers Brupbacher et al. (2) conducted a randomized controlled trial to see if (and how) music affected CrossFit-specific performance, which was defined primarily as the ability to perform AMRAP within 20 minutes. A total of 13 participants with at least 3 months of CrossFit experience performed 4 CrossFit training sessions of 20 minutes each, 2 with and 2 without music. The music was chosen to represent what was played typically in a CrossFit gym in Basel, Switzerland (primarily music by AC/DC); there was no attempt to synchronize the movements to the music. Each session used a workout round as follows: 5 pull-ups, 10 push-ups, and 15 air squats, with the goal of performing as many of these reps as possible in 20 minutes. Outcome measures included total work output (the total number of reps completed in 20 minutes), heart rate, blood lactate level, rating of perceived exertion, perceived pain intensity, and measures of any emotional responses to the workout (affective reactions). What were the findings? Training with music resulted in significantly less work being performed! An average of 460.3 repetitions was completed with music versus 497.8 repetitions without music. There was little to no difference in the other measures between the music and the nonmusic trials. The authors suggest the following explanation for the lowered AMRAP with music: participants were all relatively well trained and may have preferred to use an associative attention style relying on their own inner feelings of exertion. Therefore, the music may have distracted them from producing a maximal effort during the 20-minute bouts. Although music has been shown to provide an ergogenic effect and help lower the rate of perceived exertion during submaximal (endurance-oriented) workouts, this may not be true at intensities above the anaerobic threshold (3). Limitations of this study include the fact that the music had tempos varying from 94 to 141 BPM. The slower music, played during the last 5 minutes of the exercise bout, may have contributed to a reduced number of repetitions. Furthermore, the music chosen may not have suited each participant’s preference. Future studies of this sort should use a greater number of participants (e.g., >13), choose music specifically aligned with their preferences, and equalize the music tempos throughout the workout. Serious CrossFit aficionados, for whom the goal is AMRAP, may decide that they prefer a nonmusic environment for their exercise sessions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.182
GPT teacher head0.492
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
Has abstractyes

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Same venueACSMʼs Health & Fitness JournalSame topicPhysical Activity and HealthFrench-language works237,207