ArticlePLoS medicine2018
Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study.
Article in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Physical Activity and Metabolic Alterations in Children and Adolescents Across Different Weight Groups: A Systematic Review.European journal of sport science · 2026Pooled it
- Associations of lipoprotein particle profile and objectively measured physical activity and sedentary time in schoolchildren: a prospective cohort study.The international journal of behavioral nutrition and physical activity · 2022Trial
- Dietary and health risk behaviors for metabolic diseases in different age groups: a cross-sectional study in Chongqing, China.BMC public health · 2025Article
- Physical activity, metabolites, and breast cancer associations.Journal of the National Cancer Institute · 2025Article
- Associations between physical activity and CVD-related metabolomic and proteomic biomarkers.PloS one · 2025Article
- Sample Preparation for Metabolomic Analysis in Exercise Physiology.Biomolecules · 2024Review
- The association between device-measured sitting time and cardiometabolic health risk factors in children.BMC public health · 2024Article
- Sedentary behavior from television watching elevates GlycA levels: A bidirectional Mendelian randomization study.PloS one · 2024Article
- Prospective association between an obesogenic dietary pattern in early adolescence and metabolomics derived and traditional cardiometabolic risk scores in adolescents and young adults from the ALSPAC cohort.Nutrition & metabolism · 2023Article
- An approach to assess and adjust for the influence of multicollinear covariates on metabolomics association patterns-applied to a study of the associations between a comprehensive lipoprotein profile and the homeostatic model assessment of insulin resistance.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- Persistent Childhood and Adolescent Anxiety and Risk for Psychosis: A Longitudinal Birth Cohort Study.Biological psychiatry · 2022Article
- Puberty Timing and Sex-Specific Trajectories of Systolic Blood Pressure: a Prospective Cohort Study.Hypertension (Dallas, Tex. : 1979) · 2022Article
- Accelerometer-Based Sedentary Time, Physical Activity, and Serum Metabolome in Young Men.Metabolites · 2022Article
- Evaluating the direct effects of childhood adiposity on adult systemic metabolism: a multivariable Mendelian randomization analysis.International journal of epidemiology · 2021Article
- Body muscle gain and markers of cardiovascular disease susceptibility in young adulthood: A cohort study.PLoS medicine · 2021Observational
- Longitudinal associations of physical activity with plasma metabolites among colorectal cancer survivors up to 2 years after treatment.Scientific reports · 2021Article
- Cardiometabolic Associations between Physical Activity, Adiposity, and Lipoprotein Subclasses in Prepubertal Norwegian Children.Nutrients · 2021Article
- Relationship of Physical Activity and Sedentary Time with Metabolic Health in Children and Adolescents Measured by Accelerometer: A Narrative Review.Healthcare (Basel, Switzerland) · 2021Review
- Fasting plasma metabolomic profiles are altered by three days of standardized diet and restricted physical activity.Metabolism open · 2021Article
- A Virtual Reality Exergame to Engage Adolescents in Physical Activity: Mixed Methods Study Describing the Formative Intervention Development Process.Journal of medical Internet research · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMultiple occasions of device-measured physical activity have not been previously examined in relation to metabolic traits. We described associations of total activity, moderate-to-vigorous physical activity (MVPA), and sedentary time from three accelerometry measures taken across adolescence with detailed traits related to systemic metabolism. METHODS AND
findingsThere were 1,826 male and female participants recruited at birth in 1991-1992 via mothers into the Avon Longitudinal Study of Parents and Children offspring cohort who attended clinics in 2003-2005, 2005-2006, and 2006-2008 who were included in ≥1 analysis. Waist-worn uniaxial accelerometers measured total activity (counts/min), MVPA (min/d), and sedentary time (min/d) over ≥3 d at mean age 12y, 14y, and 15y. Current activity (at age 15y), mean activity across occasions, interaction by previous activity, and change in activity were examined in relation to systolic and diastolic blood pressure, insulin, C-reactive protein, and 230 traits from targeted metabolomics (nuclear magnetic resonance spectroscopy), including lipoprotein cholesterol and triglycerides, amino and fatty acids, glycoprotein acetyls, and others, at age 15y. Mean current total activity was 477.5 counts/min (SD = 164.0) while mean MVPA and sedentary time durations were 23.6 min/d (SD = 17.9) and 522.1 min/d (SD = 66.0), respectively. Mean body mass index at age 15y was 21.4 kg/m2 (SD = 3.5). Correlations between first and last activity measurement occasions were low (e.g., r = 0.40 for counts/min). Current activity was most strongly associated with cholesterol and triglycerides in high-density lipoprotein (HDL) and very low-density lipoprotein (VLDL) particles (e.g., -0.002 mmol/l or -0.18 SD units; 95% CI -0.24--0.11 for triglycerides in chylomicrons and extremely large very low-density lipoprotein [XL VLDL]) and with glycoprotein acetyls (-0.02 mmol/l or -0.16 SD units; 95% CI -0.22--0.10), among others. Associations were similar for mean activity across 3 occasions. Attenuations were modest with adjustment for fat mass index based on dual-energy X-ray absorptiometry (DXA). In mutually adjusted models, higher MVPA and sedentary time were oppositely associated with cholesterol and triglycerides in VLDL and HDL particles (MVPA more strongly with glycoprotein acetyls and sedentary time more strongly with amino acids). Associations appeared less consistent for sedentary time than for MVPA based on longer-term measures and were weak for change in all activity types from age 12y-15y. Evidence was also weak for interaction between activity types at age 15y and previous activity measures in relation to most traits (minimum P = 0.003; median P = 0.26 for counts/min) with interaction coefficients mostly positive. Study limitations include modest sample sizes and relatively short durations of accelerometry measurement on each occasion (3-7 d) and of time lengths between first and last accelerometry occasions (<4 years), which can obscure patterns from chance variation and limit description of activity trajectories. Activity was also recorded using uniaxial accelerometers which predated more sensitive triaxial devices.
conclusionsOur results support associations of physical activity with metabolic traits that are small in magnitude and more robust for higher MVPA than lower sedentary time. Activity fluctuates over time, but associations of current activity with most metabolic traits do not differ by previous activity. This suggests that the metabolic effects of physical activity, if causal, depend on most recent engagement.
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