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Enregistrement W4403409077 · doi:10.1249/tjx.0000000000000275

Call to Action: Contribute to the Development of the Third Edition of the Physical Activity Guidelines for Americans

2024· article· en· W4403409077 sur OpenAlexaboutno aff
Katrina L. Piercy, Alison Vaux-Bjerke, Malorie Polster, Janet E. Fulton, Stephanie M. George, Ken Rose, Geoffrey P. Whitfield, Dana L. Wolff‐Hughes, Elizabeth Barnett

Notice bibliographique

RevueTranslational Journal of the American College of Sports Medicine · 2024
Typearticle
Langueen
DomaineMedicine
ThématiquePhysical Activity and Health
Établissements canadiensnon disponible
Organismes subventionnairesCenters for Disease Control and PreventionNational Institutes of HealthU.S. Department of Health and Human Services
Mots-clésAction (physics)PsychologyPhysics

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION Every 10 yr, the US Department of Health and Human Services (HHS) reviews the body of evidence for physical activity and health outcomes and provides updated guidance on the amounts and types of physical activity necessary to get and stay healthy (1). Developing the Physical Activity Guidelines for Americans (Guidelines) is a multiyear process, beginning with the identification of key topics, and then the solicitation and appointment of a group of academic experts to serve on the Advisory Committee. The Physical Activity Guidelines Advisory Committee conducts a series of systematic literature reviews on physical-activity-related topics and summarizes the findings in a scientific report, which is then used by the Federal Government to develop the Guidelines. Planning is underway for the third edition of the Guidelines, anticipated for release in 2028. A federal planning group led by HHS’s Office of Disease Prevention and Health Promotion (ODPHP), the National Institutes of Health (NIH), and the Centers for Disease Control and Prevention (CDC) organized a listening session in May 2024 and invited those with expertise in selected topics to participate. Experts from the World Health Organization and the Canadian Physical Activity Guidelines were also invited as key international collaborators. The goals of the listening session were to assess the body of knowledge on selected emerging topics that can inform the next edition of the Guidelines, identify research gaps that can be shared with the research community, and begin engaging physical activity researchers and health professionals in the planning for the next edition. KEY TAKEAWAYS FROM THE LISTENING SESSION The following sections present key takeaways from the scientific summaries presented by the invited experts, along with potential implications for Guidelines development. Topics were selected based on research needs identified in the second edition of the Guidelines and emerging areas (2), and included equity, wearable devices and the 24-h movement cycle, steps, and the occupational physical activity paradox. Throughout the session, there was an overarching focus on equity, both as a standalone subject and as a cross-cutting topic. Equity There are differences in physical activity participation by sociodemographic characteristics such as age, race or ethnicity, and sex. The 2018 Advisory Committee noted difficulties drawing conclusions about the effectiveness of physical activity interventions in various subpopulations (2). The committee also called for additional information on the health effects of physical activity across various subgroups (2). Its literature review was primarily a “review of reviews” focusing on systematic reviews and meta-analyses, and data on subgroups tended to disappear once aggregated. Broadening the types of research examined could help center equity in the Guidelines. Reviewing original research, including qualitative research, and gathering input from individuals with lived experience are strategies that could facilitate the inclusion of findings about specific demographic groups. HHS is committed to supporting health equity in the next version of the Physical Activity Guidelines. Research that addresses the causes of disparities in physical activity participation (e.g., among rural residents and racial and ethnic minorities) could inform these efforts. The federal planning group continues to explore how to retain information about subpopulations when synthesizing evidence, to consider both what works and how to adapt what works for various populations. Physical activity researchers can help close this gap by including traditionally underrepresented populations in physical activity research, as both participants and members of research teams. Wearable Devices and the 24-h Movement Cycle Wearable devices (e.g., accelerometers, pedometers) have changed the way physical activity is measured, eliciting a new area for examination in the Guidelines. Devices can measure patterns of physical activity behavior over days or weeks in ways that questionnaires cannot. Further, studies that use devices show that adults who sit less and do moderate-to-vigorous physical activity gain some health benefits, which is consistent with the current Guidelines (1,3). The Guidelines provide a weekly recommendation for physical activity. However, several countries now make 24-h movement recommendations (e.g., Canada) (4,5). Given advances in wearable devices, shifting the Guidelines to a 24-h physical activity recommendation is an area to consider. However, because of variation in devices and processing procedures, data may be insufficient to make quantitative 24-h physical activity recommendations. For example, popular commercial devices are different from accelerometers used in research studies, and outputs are generally not standardized. The choice of algorithm impacts summary estimates and interpretation, and because of this variation, data show that adherence to the Guidelines ranges from 6.3% to 98.3%, depending on the threshold used (6,7). Validating and harmonizing device data may help address the issues above. Four key actions for researchers discussed at the meeting include 1) generate benchmark datasets for comparing across devices, 2) establish measurement and harmonization practices to promote consistency across studies, 3) explore information technology systems that allow data pooling and support computational tools to implement algorithms consistently across studies, and 4) conduct more studies in real-world versus laboratory settings (8,9). Steps Steps from wearable devices are a helpful metric for monitoring and promoting physical activity. Steps tend to be consistently defined and produce reliable estimates over time (10). Steps are also a simple and easy metric to communicate and interpret, and measures of step counts are included in many devices people use every day, such as cell phones. Evidence suggests that taking more steps is associated with a lower risk of death (11). Findings from a meta-analysis of 15 studies indicate that thresholds of daily steps may vary by age (11). For example, there is some leveling in dose–response association at 6000–8000 steps per day for older adults and 8000–10,000 steps per day for younger adults (12). There are challenges to consider in evaluating the science on steps and their potential inclusion in the Guidelines. For example, steps could be presented as one way to meet a time-based Guideline, or a step-specific recommendation could be developed. It is not yet clear if intensity is important above and beyond the number of steps. The studies examining intensity are inconsistent in their methodologies and in their conclusions (11). Additionally, there are fewer data available for younger adults, by race and ethnicity, by body mass index, and for adults with chronic conditions. There is also a dearth of experimental design studies (e.g., randomized controlled trials). Equity issues may arise when assessing physical activity using steps. For example, step recommendations cannot be used for people who are nonambulatory. Others may lack the ability or desire to wear step-counting devices (e.g., economic and privacy concerns). Occupational Physical Activity Paradox The occupational physical activity paradox suggests that physical activity done at work may not have the same health benefits as activity done during leisure time (13). The current Guidelines state the purpose of aerobic activity does not affect whether it counts toward meeting the aerobic Guideline (1). However, evidence is emerging that suggests high-volume occupational physical activity may not be beneficial to cardiovascular health the way leisure time physical activity is (13). Experts at the meeting discussed potential reasons why occupational physical activity may impact health differently: it is too low in intensity, or too long in duration, to improve fitness; it elevates 24-h heart rate and blood pressure; it is performed without sufficient recovery and under high stress; and it increases levels of inflammation (14). Notably, if the paradox is proven true, equity issues arise. For example, those with high levels of occupational physical activity—populations that tend to be already at increased cardiovascular disease risk (e.g., those with hypertension)—may not experience the health benefits discussed in the Guidelines (14). The topic of occupational physical activity also has implications to the consideration of a 24-h recommendation (e.g., weekly vs daily recommendations; work schedules vary across days). Research showing health risks of occupational activity contradicts historical research showing health benefits of occupational activity (e.g., among longshoremen) (15). This suggests that additional research on the context of occupational activity may be important. Experts at the meeting also suggested additional research, particularly in the United States, and studies with device-based occupational physical activity measurement can help improve collective understanding of occupational physical activity. Studies of workplace interventions and studies with longitudinal measurement of occupational physical activity exposure would help round out this evidence base. NEXT STEPS The listening session focused on four topics that could be considered in the third addition of the Guidelines. However, other topics were also discussed; these included new areas or expanded focus from the current Guidelines (see Table 1). TABLE 1 - Potential Topics for Inclusion in the Guidelines. Topic Physical activity recommendations 24-h movement cycle and sleep Wearable devices and steps High-intensity interval training Muscle strengthening physical activity Sedentary behavior Timing of physical activity Impact of extreme weather on physical activity and outdoor physical activity Equity Health outcomes Immune function Addiction, substance abuse, and risky behaviors Mental health Changes in risk of health outcomes with changes in physical activity participation Weight-related issues (e.g., physical activity while taking weight loss medications, weight maintenance, sarcopenia, and other weight-related conditions) Occupational physical activity paradox Special populations Children younger than 3 yr old People with intellectual or developmental disabilities People with chronic conditions People living with obesity People in particular stages of life, like menopause or pregnancy Topics were identified by federal staff and listening session participants as possible areas for the next Advisory Committee to explore. Call to Action There are four primary ways the physical activity scientific community can promote the Guidelines and get involved in the development of the third edition (see Fig. 1):Figure 1: Call to action. Contribute to the literature base that will inform the next edition of the Guidelines. Publish your work by December 31, 2025. Submit nominations for members of the Advisory Committee in the spring of 2025. Use the Guidelines and related promotional material while encouraging physical activity: Physical Activity Guidelines: https://health.gov/our-work/nutrition-physical-activity/physical-activity-guidelines Move Your Way®: https://health.gov/moveyourway Active People Healthy NationSM: https://www.cdc.gov/active-people-healthy-nation Stay informed about the Guidelines by joining the email list: https://health.gov/EmailUpdates/PhysicalActivity

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,822
Score d'incertitude au seuil0,247

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,080
Tête enseignante GPT0,392
Écart entre enseignants0,312 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2024
Routes d'admission1
Résumé présentoui

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Même revueTranslational Journal of the American College of Sports MedicineMême sujetPhysical Activity and HealthTravaux en français237 207