Cross-sectional analysis of levels and patterns of objectively measured sedentary time in adolescent females
- PMID: 22035260
- PMCID: PMC3217883
- DOI: 10.1186/1479-5868-8-120
Cross-sectional analysis of levels and patterns of objectively measured sedentary time in adolescent females
Abstract
Background: Adolescent females have been highlighted as a particularly sedentary population and the possible negative effects of a sedentary lifestyle are being uncovered. However, much of the past sedentary research is based on self-report or uses indirect methods to quantity sedentary time. Total time spent sedentary and the possible intricate sedentary patterns of adolescent females have not been described using objective and direct measure of body inclination. The objectives of this article are to examine the sedentary levels and patterns of a group of adolescent females using the ActivPAL™ and to highlight possible differences in sedentary levels and patterns across the week and within the school day. A full methodological description of how the data was analyzed is also presented.
Methods: One hundred and eleven adolescent females, age 15-18 yrs, were recruited from urban and rural areas in the Republic of Ireland. Participants wore an ActivPAL physical activity monitor for a 7.5 day period. The ActivPAL directly reports total time spent sitting/lying every 15 seconds and accumulation (frequency and duration) of sedentary activity was examined using a customized MATLAB(®) computer software programme.
Results: While no significant difference was found in the total time spent sitting/lying over the full 24 hour day between weekday and weekend day (18.8 vs. 18.9 hours; p = .911), significantly more sedentary bouts of 1 to 5 minutes and 21 to 40 minutes in duration were accumulated on weekdays compared to weekend days (p < .001). The mean length of each sedentary bout was also longer (9.8 vs. 8.8 minutes; p < .001). When school hours (9 am-3 pm) and after school hours (4 pm-10 pm) were compared, there was no difference in total time spent sedentary (3.9 hours; p = .796) but the pattern of accumulation of the sedentary time differed. There were a greater number of bouts of > 20 minutes duration during school hours than after school hours (4.7 vs. 3.5 bouts; p < .001) while after school time consisted of shorter bouts < 20 minutes.
Conclusions: School is highlighted as a particularly sedentary setting for adolescent females. Interventions to decrease sedentary time at school and the use of wearable devices which distinguish posture should be encouraged when examining sedentary patterns and behaviors in this population.
Figures



Similar articles
-
Exploring when and how adolescents sit: cross-sectional analysis of activPAL-measured patterns of daily sitting time, bouts and breaks.BMC Public Health. 2019 Jun 11;19(1):653. doi: 10.1186/s12889-019-6960-5. BMC Public Health. 2019. PMID: 31182044 Free PMC article.
-
The frequency of osteogenic activities and the pattern of intermittence between periods of physical activity and sedentary behaviour affects bone mineral content: the cross-sectional NHANES study.BMC Public Health. 2014 Jan 6;14:4. doi: 10.1186/1471-2458-14-4. BMC Public Health. 2014. PMID: 24393577 Free PMC article.
-
Patterns of Sedentary Behaviour in Female Office Workers.AIMS Public Health. 2016 Jun 24;3(3):423-431. doi: 10.3934/publichealth.2016.3.423. eCollection 2016. AIMS Public Health. 2016. PMID: 29546173 Free PMC article.
-
Considerations when using the activPAL monitor in field-based research with adult populations.J Sport Health Sci. 2017 Jun;6(2):162-178. doi: 10.1016/j.jshs.2016.02.002. Epub 2016 Feb 3. J Sport Health Sci. 2017. PMID: 30356601 Free PMC article. Review.
-
Patterns of Sedentary Behavior among Older Adults in Care Facilities: A Scoping Review.Int J Environ Res Public Health. 2021 Mar 8;18(5):2710. doi: 10.3390/ijerph18052710. Int J Environ Res Public Health. 2021. PMID: 33800199 Free PMC article.
Cited by
-
The influence of minimum sitting period of the ActivPAL™ on the measurement of breaks in sitting in young children.PLoS One. 2013 Aug 14;8(8):e71854. doi: 10.1371/journal.pone.0071854. eCollection 2013. PLoS One. 2013. PMID: 23977163 Free PMC article.
-
Why Are Children Different in Their Daily Sedentariness? An Approach Based on the Mixed-Effects Location Scale Model.PLoS One. 2015 Jul 31;10(7):e0132192. doi: 10.1371/journal.pone.0132192. eCollection 2015. PLoS One. 2015. PMID: 26230652 Free PMC article.
-
Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.PLoS One. 2015 Feb 6;10(2):e0118078. doi: 10.1371/journal.pone.0118078. eCollection 2015. PLoS One. 2015. PMID: 25658473 Free PMC article.
-
Exploring when and how adolescents sit: cross-sectional analysis of activPAL-measured patterns of daily sitting time, bouts and breaks.BMC Public Health. 2019 Jun 11;19(1):653. doi: 10.1186/s12889-019-6960-5. BMC Public Health. 2019. PMID: 31182044 Free PMC article.
-
Markers of adiposity among children and adolescents: implications of the isotemporal substitution paradigm with sedentary behavior and physical activity patterns.J Diabetes Metab Disord. 2015 May 27;14:46. doi: 10.1186/s40200-015-0175-9. eCollection 2015. J Diabetes Metab Disord. 2015. PMID: 26034720 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous