Compositional isotemporal substitution analysis of physical activity, sedentary behaviour and cardiometabolic biomarkers in US adults: A nationally representative study
Bibliographic record
Abstract
ABSTRACT Substantial evidence links physical activity and sedentary behaviour (SB) with cardiovascular health. However, studies usually examine time‐use behaviours independently, rather than considering daily activities as a 24‐hour time‐use composition. This study aimed to use compositional data models to investigate how time reallocations from SB to moderate‐to‐vigorous physical activity (MVPA)/ light physical activity (LPA) were associated with changes in cardiometabolic biomarkers. Compositional isotemporal substitution analysis was conducted using data from a representative cross‐sectional sample of adults aged 20 years or older (n = 5213 full sample; n = 2221 fasting subsample) from the 2003–2004 and 2005–2006 cycles of the National Health and Nutrition Examination Survey. Overall as well as gender‐ and age‐specific estimates were obtained for reallocating time between the behaviours associated with cardiometabolic outcomes. Replacing SB with MVPA was associated with decreased levels of C‐reactive protein (CRP), white blood cells (WBCs), red blood cell distribution width (RDW), insulin, insulin resistance homeostasis model assessment (HOMA‐IR) and 2‐hour glucose, and increased high‐density lipoprotein cholesterol (HDL‐C), except for WBCs in older adults, insulin and HOMA‐IR in females and older adults, 2‐hour glucose in young and older adults, and HDL‐C in older adults. Substituting LPA for SB resulted in lower CRP in older adults, lower RDW in males and older adults, lower insulin in young and middle‐aged adults, lower HOMA‐IR in females and middle‐aged adults, and higher HDL‐C in males and young adults. Our findings provide new evidence for the potential benefits of LPA and MVPA in cardiovascular health and help make population‐specific recommendations for physical activity. Highlights Shorter sedentary behaviour (SB) time and longer active behaviours time are associated with a lower cardiovascular disease risk profile. Although replacing SB with MVPA has stronger positive health effects, LPA, as a simpler and more feasible activity, may has greater potential in promoting cardiovascular health. The expected changes in cardiometabolic biomarkers caused by time reallocations from SB to MVPA/LPA vary with gender and age, and physical activity guidelines with specific recommendations should be tailed to the subpopulations.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".