Effects of Low-Volume High-Intensity Interval Exercise on 24 h Movement Behaviors in Inactive Female University Students
- PMID: 35742425
- PMCID: PMC9223473
- DOI: 10.3390/ijerph19127177
Effects of Low-Volume High-Intensity Interval Exercise on 24 h Movement Behaviors in Inactive Female University Students
Abstract
The purpose of this study was to examine if low-volume, high-intensity interval exercise (HIIE) was associated with changes in 24-h movement behaviors. A quasi-experimental study design was used. We collected accelerometry data from 21 eligible participants who consistently wore an ActiGraph for a period of two-weeks. Differences in behaviors were analyzed using a paired t-test and repeated measures analysis of variance. Regression analysis was used to explore relationships with factors that impacted changes. The results indicated a compensatory increase in sedentary time (ST) (4.4 ± 6.0%, p < 0.01) and a decrease in light-intensity physical activity (LPA) (−7.3 ± 16.7%, p < 0.05). Meanwhile, moderate-intensity physical activity (MPA), vigorous-intensity physical activity (VPA), and total physical activity (TPA) increased following exercise (p < 0.001). Sleep duration and prolonged sedentary time were reduced (p < 0.05). Exercise intensity and aerobic capacity were associated with changes in ST. The results from the study indicate that participating in a low-volume HIIE encouraged participants who were previously inactive to become more active. The observations of increases in ST may have displaced a prolonged sitting time. The decrease in sleeping time observed may be reflecting an increased sleep quality in connection with increased higher-intensity PA.
Keywords: Tabata; compensatory effect; high-intensity interval exercise; inactive females; movement behavior.
Conflict of interest statement
The authors declare no conflict of interest.
Figures




References
-
- Alessa H.B., Chomistek A.K., Hankinson S.E., Barnett J.B., Rood J., Matthews C.E., Rimm E.B., Willett W.C., Hu F.B., Tobias D.K. Objective measures of physical activity and cardiometabolic and endocrine biomarkers. Med. Sci. Sports Exerc. 2017;49:1817–1825. doi: 10.1249/MSS.0000000000001287. - DOI - PMC - PubMed
-
- Balducci S., Haxhi J., Sacchetti M., Orlando G., Cardelli P., Vitale M., Mattia L., Carla I., Bollanti L., Conti F., et al. Relationships of changes in physical activity and sedentary behavior with changes in physical fitness and cardiometabolic risk profile in individuals with type 2 diabetes: The italian diabetes and exercise study 2 (IDES_2) Diabetes Care. 2022;45:213–221. doi: 10.2337/dc21-1505. - DOI - PubMed
-
- Teixeira R.B., Dos Santos Amorim P.R., Marins J.C.B., de LX Martins Y., de Souza Magalhães Marques S., Aguiar V.P.R., Palotás A., Lima L.M. Physical inactivity is liable to the increased cardiovascular risk and impaired cognitive profile. Curr. Alzheimer Res. 2020;17:365–372. doi: 10.2174/1567205017666200522205646. - DOI - PubMed
-
- Whitlock G., Lewington S., Sherliker P., Clarke R., Emberson J., Halsey J., Qizilbash N., Collins R., Peto R. Body-mass index and cause-specific mortality in 900 000 adults: Collaborative analyses of 57 prospective studies. Lancet. 2009;373:1083–1096. doi: 10.1016/s0140-6736(09)60318-4. - DOI - PMC - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical