Aug 2026· Sport Sciences for Health· Vol 22· 0 citations· 33 references
Medicine
TL;DR
Aligning with 24-h movement patterns related to better cardiometabolic health in people with obesity is related to better cardiometabolic health in people with obesity.
Abstract
Low moderate-to-vigorous physical activity (MVPA), high sedentary behavior (SB), and inadequate sleep are individually associated with type 2 diabetes (T2D) risk. However, the aggregate impact of these movement patterns remains unclear. Assess whether being aligned with 24-h movement guidelines of MVPA, SB, and sleep relates to cardiometabolic health, and compare this with the American Heart Association’s Life’s Essential 8. In a cross-sectional study, adults with obesity [n = 56 (39 F); 55.6 ± 1.1 y; 34.5 ± 0.7 kg/m2] with low 24-h movement z-scores [“aligned”; n = 28 (21 F)] were compared to those with high z-scores [“misaligned” n = 28 (18 F)]. MVPA and SB (accelerometer) and sleep (Pittsburgh Sleep Quality Index) were assessed to calculate z scores. LE8 scores were calculated according to AHA guidelines. A 120-min hyperinsulinemic-euglycemic clamp (40 mU/m2/min, 90 mg/dl) with indirect calorimetry was used to determine metabolic insulin sensitivity [glucose infusion rate (GIR)] and substrate oxidation. Pulse wave velocity and augmentation index (AIx75) were assessed at 0 and 120 min of the clamp to assess arterial stiffness. Fitness (VO2max) and body fat (DXA) were also assessed. Despite no differences in age, body fat, or VO2max, the misaligned group had higher fasting DBP, MAP, and AIx75 (P < 0.05), lower GIR (P = 0.07), and lower FFA suppression (P = 0.01). While both the z-score and LE8 related to blood pressure, only the z-score correlated with AIx75 and FFA suppression. Aligning with 24-h movement patterns related to better cardiometabolic health in people with obesity. NCT03355469.
Step metrics were curvilinearly associated with QoL with optimal benefits at ~6,500 steps/day, and Optimal QoL benefits can be reached at feasible stepping targets, and at slightly fewer daily minutes of fast stepping in CVD versus non-CVD.
S. Schootemeijer, S. Kroesen, N. Stens et al.· medRxiv· 0 citations
Notably, the associations with 24-h movement behaviors appeared to differ across distinct pre-diabetes phenotypes, providing preliminary evidence for precision prevention strategies.
J. Rong, M. Ho, Hing-Chau Pui· International Journal of Obe...· 1 citation
Higher levels of PA and lower time spent in SB were associated with better quality of life, whereas sleep duration showed no significant association, whereas sleep duration showed no significant association.
Júlio César de Ávila Soares, M. E. M. Vigilato, H. Valente et al.· Physiotherapy Research Inter...· 0 citations
Multidimensional PA phenotypes derived from accelerometry identify clinically meaningful differences in body composition and metabolic risk beyond MVPA duration, supporting phenotype-based approaches for pediatric obesity risk stratification and intervention design.
Alessandro Gatti, M. Vandoni, Caterina Cavallo et al.· European Journal of Pediatri...· 0 citations
Children who met individual guidelines (MVPA, screen time, and sleep) had significantly lower levels of body mass index z-scores and waist circumference, whereas those who met the MVPA and sleep guidelines had lower waist-to-height ratio.
P. Katzmarzyk, J. Maia, Fernando Garbeloto et al.· Pediatric Exercise Science· 0 citations
Evaluating sleep with a multidimensional approach better captures its association with life-style factors and should assess downstream effects on cardiovascular outcomes.
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