Evidence mapPaperPMID 40217444Full record

ArticleJournal of activity, sedentary and sleep behaviors2024

Charting the cascade of physical activities: implications for reducing sitting time and obesity in children.

Samad Esmaeilzadeh, Pirjo Hakala, Päivi Berg, Jo Salmon, Tiina Rinne, Arto J Pesola

Abstract read
In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Samad EsmaeilzadehActive Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland. Samad.Esmaeilzade@yahoo.com.
Pirjo HakalaActive Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
Päivi BergJuvenia - Youth Research and Development Centre, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
Jo SalmonInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Australia.
Tiina RinneActive Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
Arto J PesolaActive Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.

Funding

Ministry of Education and Culture, Finland OKM/30/626/2019 and OKM/1097/626/2020
6 · The paper itself

Abstract

objectiveTraditional intensity-based physical activity measures and variable-centered statistics may not fully capture the complex associations between sitting time, physical activity, and obesity indices. This study investigates the associations between device-measured sitting, standing and different modes of physical activity (i.e., slow walking, brisk-walking, cycling and high-intensity activity) and measured body mass index (BMI) in children using person-based latent profile analyses and Partial Least Squared-structural equation modeling (PLS-SEM).

methodsA total of 344 children (11.5 ± 0.81 years, boys n = 139) wore a triaxial accelerometer (Fibion®) on their thigh for eight days, and their weight and height were measured at school. Latent profile analysis formed profiles including BMI, total sitting time, and physical activities, and their associations were further studied with PLS-SEM.

resultsThe latent profile analysis indicates that high levels of physical activity always coincide with low sitting time. Both normal weight and overweight/obesity can coexist with low physical activity and prolonged sitting. The PLS-SEM results highlight a cascade-like sequence in the relationship between various types of physical activity, sitting time, and BMI. This sequence begins with light-intensity activities, such as standing, progresses to higher-intensity activities, and ultimately through reduced sitting time (sample mean= -0.01; effect size = 0.0001; p = 0.02), mediates a decline in BMI (sample mean= -0.06; effect size = 0.0036; p = 0.01). The most positive effects on sitting time and BMI occur when this pattern is adhered to consistently, suggesting that omitting steps could negatively impact the associations.

conclusionThese findings suggest that persuading children to increase physical activity incrementally, starting from low-intensity activities such as standing and slow walking to activity types with higher intensities, possibly influence BMI by mediating reduced sitting time. This approach is particularly inclusive for overweight and obese children, taking into account the potential challenges they may encounter when performing activity types with high intensity. These cross-sectional associations need to be verified with longitudinal and experimental designs.

Indexed as

Body mass indexHigh-intensity activityLatent profile analysisLight-intensity physical activitiesSitting timeStructural equation modeling

Identifiers

PMID40217444
PMCPMC11960387

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.