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Record W4405671481 · doi:10.1007/s40279-024-02148-4

Reallocating Time Between 24-h Movement Behaviors for Obesity Management Across the Lifespan: A Pooled Data Meta-Analysis of More Than 9800 Participants from Seven Countries

2024· review· en· W4405671481 on OpenAlexaff
Aleš Gába, Timothy B. Hartwig, Paulína Jašková, Taren Sanders, Jan Dygrýn, Ondřej Vencálek, Devan Antczak, James H. Conigrave, Philip D. Parker, Stuart J. Fairclough, Shona L. Halson, Karel Hron, Michael Noetel, Manuel Ávila‐García, Verónica Cabanas‐Sánchez, Iván Cavero‐Redondo, Rachel Curtis, Bruno Gonçalves Galdino da Costa, Jesús del Pozo-Cruz, Antônio García‐Hermoso, Angus A. Leahy, David R. Lubans, Carol Maher, David Martínez‐Gómez, Kim Meredith‐Jones, Andrés Redondo‐Tébar, Sèverine Sabia, Kelly Samara da Silva, Paula Skidmore, Emilio Villa‐González, Manasa Shanta Yerramalla, Chris Lonsdale

Bibliographic record

VenueSports Medicine · 2024
Typereview
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsMcGill University
FundersNational Institute on AgingAgencia Estatal de InvestigaciónInstituto de Salud Carlos IIINational Health and Medical Research CouncilMedical Research CouncilNational Institutes of HealthMinisterio de Economía y CompetitividadCentro para el Desarrollo Tecnológico IndustrialGrantová Agentura České RepublikyEuropean Regional Development FundEuropean CommissionNSW Department of EducationWellcome TrustAgence Nationale de la RechercheNational Heart Foundation of New ZealandBritish Heart FoundationUniversity of Otago
KeywordsObesityBody mass indexConfidence intervalWaistDemographyMedicineMeta-analysisPhysical activityObservational studyGerontologyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background The distribution of time across physical activity, sedentary behaviors, and sleep appears to be essential for the management of obesity. However, the impact of reallocating time among these behaviors, collectively known as 24-h movement behaviors, remains underexplored. Objective This study examines the theoretical effects of reallocating time between 24-h movement behaviors on obesity indicators across different age groups. Methods We performed a pooled data meta-analysis of 9818 participants from 11 observational and experimental studies. To estimate the time spent in movement behaviors, we reprocessed and harmonized individual-level raw accelerometer-derived data. Isotemporal substitution models estimated theoretical changes in body mass index (BMI) and waist circumference (WC) associated with time reallocation between movement behaviors. We performed the analysis separately for children, adolescents, adults, and older adults. Results Even minor reallocations of 10 min led to significant changes in obesity indicators, with pronounced effects observed when 30 min were reallocated. The most substantial adverse effects on BMI and WC occurred when moderate-to-vigorous physical activity (MVPA) was reallocated to other movement behaviors. For 30-min reallocations, the largest increase in BMI (or BMI z -score for children) occurred when MVPA was reallocated to light-intensity physical activity (LPA) in children (0.26 units, 95% confidence interval [CI] 0.15, 0.37) and to sedentary behavior (SB) in adults (0.72 kg/m 2 , 95% CI 0.47, 0.96) and older adults (0.73 kg/m 2 , 95% CI 0.59, 0.87). The largest increase in WC was observed when MVPA was substituted with LPA in adults (2.66 cm, 95% CI 1.42, 3.90) and with SB in older adults (2.43 cm, 95% CI 2.07, 2.79). Conversely, the highest magnitude of the decrease in obesity indicators was observed when SB was substituted with MVPA. Specifically, substituting 30 min of SB with MVPA was associated with a decrease in BMI z -score by − 0.15 units (95% CI − 0.21, − 0.10) in children and lower BMI by − 0.56 kg/m 2 (95% CI − 0.74, − 0.39) in adults and by − 0.52 kg/m 2 (95% CI − 0.61, − 0.43) in older adults. Reallocating time away from sleep and LPA showed several significant changes but lacked a consistent pattern. While the predicted changes in obesity indicators were generally consistent across age groups, inconsistent findings were observed in adolescents, particularly for reallocations between MVPA and other behaviors. Conclusions This investigation emphasizes the crucial role of MVPA in mitigating obesity risk across the lifespan, and the benefit of substituting SB with low-intensity movement behaviors. The distinct patterns observed in adolescents suggest a need for age-specific lifestyle interventions to effectively address obesity. Emphasizing manageable shifts, such as 10-min reallocations, could have significant public health implications, promoting sustainable lifestyle changes that accommodate individuals with diverse needs, including those with severe obesity.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.284
GPT teacher head0.473
Teacher spread0.189 · 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.

Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations8
Published2024
Admission routes1
Has abstractyes

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