Startseite Accelerometer-measured physical activity among adolescents in a multicultural area characterized by low socioeconomic status
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Accelerometer-measured physical activity among adolescents in a multicultural area characterized by low socioeconomic status

  • Andreas Fröberg EMAIL logo , Christel Larsson , Christina Berg , Cecilia Boldemann und Anders Raustorp
Veröffentlicht/Copyright: 29. August 2016

Abstract

Purpose:

The aim of this cross-sectional study was to describe and analyze accelerometer-measured sedentary time and physical activity (PA) among adolescents in a multicultural area characterized by low socioeconomic status (SES).

Method:

Seventh-graders (n=114 (girls n=66), mean age: 12.8±0.5 y) were recruited from three schools in a multicultural area of the city of Gothenburg, Sweden. Sedentary time and PA were measured with ActiGraph™ accelerometers.

Result:

Of total wear-time, 70 (±6)% was sedentary, with girls being more sedentary than boys. Girls had less light PA (LPA) and moderate-to-vigorous PA (MVPA) than boys. Similar patterns were shown during in-school and out-of-school hours. During wear-time, 53% had a mean of ≥60 min of MVPA per day, but only 6% of the girls and 24% of the boys were sufficiently physically active every day. Girls had more sedentary bouts of ≥10 min and fewer MVPA bouts of ≥5 min per day than boys. Those who participated in organized sports spent a mean of 15 more minutes of MVPA per day compared to those who did not. No association was observed between body mass index (BMI) and sedentary time and PA.

Conclusion:

Only a few adolescents from a Swedish multicultural area characterized by low SES met the PA recommendations every day, and girls were more sedentary and less physically active than boys. Adolescents involved in organized sports had more of MVPA per day than their non-involved peers. Sedentary time and PA were not related to BMI.


Correction note

Correction added after ahead-of-print publication on 29 August 2016: The following text was deleted from the Method section of the abstract: (Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci 2008;26:1557–1565.)

[Correction added after online publication 29 August 2016: Mean age in the abstract section method was updated from 12.8±0.8 to 12.8±0.5.]



Corresponding author: Andreas Fröberg, MSc, Department of Food and Nutrition, and Sport Science, University of Gothenburg, Pedagogen, Hus C, Läroverksgatan 5, PO Box 300, SE-405 30, Gothenburg, Sweden

Acknowledgments

The authors acknowledge the adolescents and their parents for their participation in this study. The authors are also grateful to the school personnel for their generous assistance surrounding the practicalities related to the data collection. Our research was granted by the Department of Food and Nutrition, and Sport Science, University of Gothenburg, Sweden, and Swedish Nutrition Foundation, Sweden.

  1. Competing interests: The authors have declared no competing interests.

  2. Funding disclosure:Department of Food and Nutrition, and Sport Science, University of Gothenburg, Sweden, and Swedish Nutrition Foundation, Sweden.

References

1. Janssen I, Leblanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act 2010;7:40.10.1186/1479-5868-7-40Suche in Google Scholar

2. Kahlmeier S, Wijnhoven TM, Alpiger P, Schweizer C, Breda J, et al. National physical activity recommendations: systematic overview and analysis of the situation in European countries. BMC Public Health 2015;15:133.10.1186/s12889-015-1412-3Suche in Google Scholar

3. Helmerhorst HJ, Brage S, Warren J, Besson H, Ekelund U. A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. Int J Behav Nutr Phys Act 2012;9:103.10.1186/1479-5868-9-103Suche in Google Scholar

4. Kalman M, Inchley J, Sigmundova D, Iannotti RJ, Tynjala JA, et al. Secular trends in moderate-to-vigorous physical activity in 32 countries from 2002 to 2010: a cross-national perspective. Eur J Public Health 2015;25(Suppl 2):37–40.10.1093/eurpub/ckv024Suche in Google Scholar

5. Cooper AR, Goodman A, Page AS, Sherar LB, Esliger DW, et al. Objectively measured physical activity and sedentary time in youth: the International children's accelerometry database (ICAD). Int J Behav Nutr Phys Act 2015;12:113.10.1186/s12966-015-0274-5Suche in Google Scholar

6. Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, et al. Correlates of physical activity: why are some people physically active and others not? Lancet 2012;380:258–71.10.1016/S0140-6736(12)60735-1Suche in Google Scholar

7. Eyre EL, Duncan MJ. The impact of ethnicity on objectively measured physical activity in children. ISRN Obesity 2013;2013:757431.10.1155/2013/757431Suche in Google Scholar PubMed PubMed Central

8. Stalsberg R, Pedersen AV. Effects of socioeconomic status on the physical activity in adolescents: a systematic review of the evidence. Scand J Med Sci Sports 2010;20:368–83.10.1111/j.1600-0838.2009.01047.xSuche in Google Scholar PubMed

9. Robusto KM, Trost SG. Comparison of three generations of ActiGraph activity monitors in children and adolescents. J Sports Sci 2012;30:1429–35.10.1080/02640414.2012.710761Suche in Google Scholar PubMed PubMed Central

10. Colley R, Connor Gorber S, Tremblay MS. Quality control and data reduction procedures for accelerometry-derived measures of physical activity. Health Rep 2010;21:63–9.Suche in Google Scholar

11. Sanders T, Cliff DP, Lonsdale C. Measuring adolescent boys’ physical activity: bout length and the influence of accelerometer epoch length. PLoS One 2014;9:e92040.10.1371/journal.pone.0092040Suche in Google Scholar PubMed PubMed Central

12. Chinapaw MJ, de Niet M, Verloigne M, De Bourdeaudhuij I, Brug J, et al. From sedentary time to sedentary patterns: accelerometer data reduction decisions in youth. PLoS One 2014;9:e111205.10.1371/journal.pone.0111205Suche in Google Scholar PubMed PubMed Central

13. Cain KL, Sallis JF, Conway TL, Van Dyck D, Calhoon L. Using accelerometers in youth physical activity studies: a review of methods. J Phys Act Health 2013;10:437–50.10.1123/jpah.10.3.437Suche in Google Scholar PubMed PubMed Central

14. Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc 2011;43:1360–8.10.1249/MSS.0b013e318206476eSuche in Google Scholar PubMed

15. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci 2008;26:1557–65.10.1080/02640410802334196Suche in Google Scholar PubMed

16. Altenburg TM, Chinapaw MJM. Bouts and breaks in children’s sedentary time: currently used operational definitions and recommendations for future research. Prev Med 2015;77:1–3.10.1016/j.ypmed.2015.04.019Suche in Google Scholar PubMed

17. Pedersen BK, Febbraio MA. Muscles, exercise and obesity: skeletal muscle as a secretory organ. Nat Rev Endocrinol 2012;8:457–65.10.1038/nrendo.2012.49Suche in Google Scholar PubMed

18. Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes 2007;56:2655–67.10.2337/db07-0882Suche in Google Scholar PubMed

19. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes 2012;7:284–94.10.1111/j.2047-6310.2012.00064.xSuche in Google Scholar PubMed

20. Ortega FB, Ruiz JR, Sjostrom M. Physical activity, overweight and central adiposity in Swedish children and adolescents: the European Youth Heart Study. Int J Behav Nutr Phys Act 2007;4:61.10.1186/1479-5868-4-61Suche in Google Scholar PubMed PubMed Central

21. Marques A, Ekelund U, Sardinha LB. Associations between organized sports participation and objectively measured physical activity, sedentary time and weight status in youth. J Sci Med Sport 2016;19:154–7.10.1016/j.jsams.2015.02.007Suche in Google Scholar PubMed PubMed Central

22. Jimenez-Pavon D, Kelly J, Reilly JJ. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: systematic review. Int J Pediatr Obes 2010;5:3–18.10.3109/17477160903067601Suche in Google Scholar PubMed

23. Vanhelst J, Beghin L, Salleron J, Ruiz JR, Ortega FB, et al. Impact of the choice of threshold on physical activity patterns in free living conditions among adolescents measured using a uniaxial accelerometer: the HELENA study. J Sports Sci 2014;32:110–5.10.1080/02640414.2013.809473Suche in Google Scholar PubMed

Received: 2016-6-8
Accepted: 2016-7-13
Published Online: 2016-8-29

©2018 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Editorial
  2. Redacted reflections on the kidney from the Sumerians to Moses Maimonides: lessons for 21st-century clinicians and researchers
  3. Reviews
  4. Is vaping a gateway to smoking: a review of the longitudinal studies
  5. Integrated oral, mental and sexual health management for adolescents: a call for professional collaboration
  6. The effectiveness of adolescent-specific prenatal interventions on improving attendance and reducing harm during and after birth: a systematic review
  7. Original Articles
  8. Feasibility of a transition intervention aimed at adolescents with chronic illness
  9. Pattern of menarche age (normal, early and late) and its relationship with some demographic characteristics in girls and their parents
  10. Immaturity in puberty and negative attitudes toward reproductive health among Indonesian adolescents
  11. Prevalence and risk factors associated with suicidal ideation among adolescents in Malaysia
  12. Influence of body mass index on mindfulness awareness and coping methods for stress in adolescents
  13. Association between exposure to sexually explicit content in the electronic media and sexual intentions of in-school adolescents in Southwest Nigeria
  14. Adolescent workplace exposures reported to Texas poison centers
  15. Accelerometer-measured physical activity among adolescents in a multicultural area characterized by low socioeconomic status
  16. Physical and social factors associated with early adolescent headache and stomachache pain
  17. Who is teaching the kids to cook? Results from a nationally representative survey of secondary school students in New Zealand
  18. Case Report
  19. Listening to music from the urinary bladder! Case report of a headset in a urinary bladder
Heruntergeladen am 8.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ijamh-2016-0061/html
Button zum nach oben scrollen