Accelerometer-Measured Physical Activity, Fitness and Indicators of Cardiometabolic Risk among Rural Adolescents: A Cross-Sectional Study at 15-Year Follow-up of the MINIMat Cohort
- PMID: 38771489
- PMCID: PMC11442897
- DOI: 10.1007/s44197-024-00245-1
Accelerometer-Measured Physical Activity, Fitness and Indicators of Cardiometabolic Risk among Rural Adolescents: A Cross-Sectional Study at 15-Year Follow-up of the MINIMat Cohort
Abstract
Background: Little is known about the relationship of physical activity (PA) and fitness with cardiometabolic risk among rural adolescents in low- and middle-income countries. Thus, we examined the associations of PA and fitness with selected cardiometabolic indicators along with potential gender-based differences in a birth cohort of rural adolescents from southeast Bangladesh.
Methods: We utilized data from the 15-year follow-up of Maternal and Infant Nutrition Interventions in Matlab (MINIMat) cohort (n = 2253). Wrist-worn ActiGraph wGT3x-BT accelerometers were used to estimate sedentary time (ST) and PA. Fitness was assessed using: handgrip strength, standing long jump, and Chester Step Test. Anthropometric parameters, systolic blood pressure (SBP), and fasting lipid, insulin and glucose levels were measured. We calculated insulin resistance using the Homeostasis Model Assessment equation (HOMA-IR). Linear regression and isotemporal substitution models were fitted.
Results: The adolescents spent 64 min/day (inter-quartile range: 50-81) in moderate-to-vigorous physical activity (MVPA). A 10-minute-per-day higher vigorous PA (VPA) was associated with: 4.9% (95% confidence interval (CI): 2.9-6.8%) lower waist circumference (WC), 3.2 mmHg (95% CI: 1.5-4.8) lower SBP, 10.4% (95% CI: 2.9-17.3%) lower TG, and 24.4% (95% CI: 11.3-34.9%) lower HOMA-IR. MVPA showed similar associations of notably smaller magnitude. Except for WC, the associations were more pronounced among the boys. Substituting ST with VPA of equal duration was associated with lower WC, SBP, triglyceride and HOMA-IR. Grip strength was favorably associated with all indicators, displaying considerably large effect sizes.
Conclusion: Our findings indicated beneficial roles of PA- particularly VPA- and muscular fitness in shaping cardiometabolic profile in mid-adolescence. VPA and grip strength may represent potential targets for preventive strategies tailored to adolescents in resource-limited settings.
Keywords: Adolescents; Bangladesh; Blood pressure; Insulin resistance; Physical activity; Triglyceride; Waist circumference.
© 2024. The Author(s).
Conflict of interest statement
The authors declare no competing interests.
Figures
Similar articles
-
Dietary patterns and indicators of cardiometabolic risk among rural adolescents: A cross-sectional study at 15-year follow-up of the MINIMat cohort.Front Nutr. 2023 Jan 25;10:1058965. doi: 10.3389/fnut.2023.1058965. eCollection 2023. Front Nutr. 2023. PMID: 36761218 Free PMC article.
-
Physical activity intensity, sedentary behavior, body composition and physical fitness in 4-year-old children: results from the ministop trial.Int J Obes (Lond). 2016 Jul;40(7):1126-33. doi: 10.1038/ijo.2016.54. Epub 2016 Apr 18. Int J Obes (Lond). 2016. PMID: 27087109 Clinical Trial.
-
Cross-Sectional Associations of Reallocating Time Between Sedentary and Active Behaviours on Cardiometabolic Risk Factors in Young People: An International Children's Accelerometry Database (ICAD) Analysis.Sports Med. 2018 Oct;48(10):2401-2412. doi: 10.1007/s40279-018-0909-1. Sports Med. 2018. PMID: 29626333 Free PMC article.
-
Children's physical activity and sedentary time and cardiometabolic risk factors.Clin J Sport Med. 2013 Sep;23(5):408-9. doi: 10.1097/01.jsm.0000433154.58936.a8. Clin J Sport Med. 2013. PMID: 23989385
-
Accelerometer-Measured Physical Activity Data Sets (Global Physical Activity Data Set Catalogue) That Include Markers of Cardiometabolic Health: Systematic Scoping Review.J Med Internet Res. 2023 Jul 19;25:e45599. doi: 10.2196/45599. J Med Internet Res. 2023. PMID: 37467026 Free PMC article.
References
-
- Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C, et al. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017;390:2627–42. 10.1016/S0140-6736(17)32129-3. - PMC - PubMed
-
- García-Hermoso A, Ezzatvar Y, Ramírez-Vélez R, Olloquequi J, Izquierdo M. Is device-measured vigorous physical activity associated with health-related outcomes in children and adolescents? A systematic review and meta-analysis. J Sport Health Sci. 2021;10:296–307. 10.1016/j.jshs.2020.12.001. - PMC - PubMed
-
- Laitinen TT, Pahkala K, Magnussen CG, Viikari JSA, Oikonen M, Taittonen L, et al. Ideal Cardiovascular Health in Childhood and Cardiometabolic outcomes in Adulthood: the Cardiovascular Risk in Young finns Study. Circulation. 2012;125:1971–8. 10.1161/CIRCULATIONAHA.111.073585. - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous