Abdullah GÜLLÜ

5130

Evaluation of Daily Physical Activity Levels with Metabolic Holter in Adolescents

The aim of this study was to evaluate daily physical activity levels in adolescents, aged 11, 12 and 13 with metabolic holter. Totally 99 healthy and volunteer male students, aged 11-13 years, participated in this study. The participants were divided into three groups according to their chronological age: 11 age group (n: 35), 12 age group (n: 34) and 13 age group (n: 30). The physical activity levels of the children's were measured by SenseWear Armband (SWA) for 3 consecutive days (72 hours), in the absence of physical education class days. Height, weight, body mass index, daily total energy consumption, physical activity level, daily average number of steps (STEP), daily average length of stay and daily average sleep time were measured. The data obtained in the study were determined by one way ANOVA and multiple comparison test. P<0.05 was considered significant in all tests. There was a significant difference in the mean values of height (F=20.3; p=0.00), weight (F=12.55; p=0.00), and STEP (F=7.64; p=0.01) in the study group. The difference in height and weight mean was significant in favor of 13 age group (11<12<13, respectively) and STEP was in favor of 11 years (13≤12<11, respectively). The differences between the remaining variables were not significant (p> 0.05). In this study, it was concluded that the adolescents who were in different age groups and did not have physical education classes, the duration of physical activity was low, but their duration of inactivity was high.
Keywords:

Physical activity, anthropometry, SenseWear Armband adolescent child,

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  • Akçan PE, Tekgül N, Karademirci E, Öngel K. Adolescence Period: Physical Growth, Psychological and Social Development Process. The Journal of Turkish Family Physician, 1999; 3(4): 10-16.
  • Arundell L, Ridgers ND, Veitch J, Salmon J, Hinkley T, Timperio A. 5-year changes in after school physical activity and sedentary behavior. Am. J. Prev. Me, 2013; 44 (6): 605-611.
  • Bassett DR, Fitzhugh EC, Heath GW, Erwin PC, Frederick GM, Wolff DL, Welch WA, Stout AB. Estimated energy expenditures for school-based policies and active living. Am. J. Prev. Med, 2013; 44 (2): 108–113.
  • Beets MW, Bornstein D, Beighle A, Cardinal BJ, Morgan CF. Pedometer-measured physical activity patterns of youth: a 13-country review. Am J Prev Med, 2010; 38 (2): 208-216.
  • Beets MW, Shah R, Glenn R, Weaver RG, Jennifer Huberty J, Beighle A, Moore JB. Physical activity in after-school programs: comparison with physical activity policies. Journal of Physical Activity and Health, 2015; 12 (1): 1-7.
  • Brooke HL, Corder K, Atkin AJ, van Sluijs EM. A systematic literature review with meta-analyses of within- and between-day differences in objectively measured physical activity in school-aged children. Sports Med, 2014; 44 (10): 1427–1438.
  • Bulut S. A social determinant in health; physical activity. Turkish Journal of Hygiene and Experimental Biology, 2013; 70(4): 205-214.
  • Burdette HL, Whitaker RC, Daniels SR. Parental report of outdoor playtime as a measure of physical activity in preschool-aged children. Arch Pediatr Adolesc Med, 2004; 158 (4): 353-357.
  • Butte NF, Watson KB, Ridley K, Zakeri IF, Mcmurray RG, Pfeiffer KA, Crouter SE, Herrmann SD, Bassett DR, Long A, Berhane Z, Trost SG, Ainsworth BE, Berrigan D, Fulton JE. A youth compendium of physical activities: activity codes and metabolic intensities. Med. Sci. Sports Exerc, 2018; 50 (2): 246–256.
  • Calabro MA, Welk GJ, Eisenmann JC. Validation of the SenseWear pro armband algorithms in children. Med Sci Sports Exerc, 2009; 41(9): 1714-1720.
  • Calabro MA, Lee J, Pedro F, Saint-Maurice PF, Yoo H, Gregory J, Welk GJ. Validity of physical activity monitors for assessing lower intensity activity in adults. International Journal of Behavioral Nutrition and Physical Activity, 2014; 11: 119.
  • Craig CL, Cameron C, Tudor-Locke C. Relationship between parent and child pedometer-determined physical activity: a sub-study of the CANPLAY surveillance study. International Journal of Behavioral Nutrition and Physical Activity, 2013; 10: 1-8.
  • Crawford K. Validation of the SenseWear pro 2 armband to assess energy expenditure of adolescents during various modes of activity. University of Pittsburgh Thesis for Doctoral Degree. 2004; 15-32.
  • Dewald JF, Meijer AM, Oort FJ, Kerkhof GA. Bögels SM. The influence of sleep quality, sleep duration and sleepiness on school performance on children and adolescents: a meta-analytic review. Sleep Med Rev., 2010; 14 (3): 179-189.
  • Epstein LH, Paluch RA, Kilanowski CK, Raynor HA. The effect of reinforcement or stimulus control to reduce sedentary behavior in the treatment of pediatric obesity. Health Psychology, 2004; 23 (4): 371–380.
  • Goran MI, Reynolds KD, Lindquist CH. Role of physical activity in the prevention of obesity in children. Int J Obes, 1999; 23 (3): 18-33.
  • Graves L, Stratton G, Ridgers ND, Cable NT. Energy expenditure in adolescents playing new generation computer games. BMJ, 2007; 335: 1282-1284.
  • Gregory AM, Rijsdijk FV, Dahl RE, McGuffin P, Eley TC. Associations between sleep problems, anxiety and depression in twins at 8 years of age. Pediatrics, 2006; 118 (3): 1124-1132.
  • Heelan KA, Donnelly JE, Jacobsen DJ, Mayo MS, Washburn R, Greene L. Active commuting to and from school and BMI in elementary school children–preliminary data. Child: Care, Health and Development, 2005; 31 (3): 341–349.
  • Heiermann S, Hedayati KK, Müller MJ, Dittmar M. Accuracy of a portable multisensor body monitor for predicting resting energy expenditure in older people: a comparison with indirect calorimetry. Gerontology, 2011; 57: 473–479.
  • Hofferth SL, Sandberg JF. How American children spend their time. J Marriage Fam, 2001; 63 (2): 295-308.
  • Kalling VL. Physical activity on prescription, studies on physical activity level, adherence and cardiovascular risk factors. Karolinska Institutet Thesis for Doctoral Degree, 2008.
  • Kırıcı L. Exploring the validity of the measurement of energy consumption with four sensor arm band device in exercise. University of Dokuz Eylül. Master Thesis, 2011.
  • Lau EY, Dowda M, McIver KL, Pate RR. Changes in physical activity in the school, afterschool, and evening periods during the transition from elementary to middle school. J. Sch. Healt, 2017; 87 (7): 531–537.
  • Lowry R, Wechsler H, Galuska DA, Fulton JE, Kann L. Television viewing and its associations with overweight, sedentary lifestyle, and ınsufficient consumption of fruits and vegetables among us high school students: differences by race, ethnicity, and gender. Journal of School Health, 2002; 72 (10): 413–421.
  • Mendes MA, Silva I, Ramires V, Reichert F, Martins R, Ferreira R, Tomasi E. Metabolic equivalent of task (METs) thresholds as an indicator of physical activity intensity. PLoS One, 2018; 13 (7): e-article.
  • Myles SF, Mary AL, Tim SA, Moonseong H, Angelo P. Weight criticism during physical activity, coping skills, and reported physical activity in children. Pediatrics, 2002; 110 (2): e-article.
  • Neyzi O, Günöz H, Furman A, Bundak R, Gökçay G, Darendeliler F, Baş F. Body weight, height, head circumference and body mass index reference values in Turkish children. Journal of Child Health and Diseases, 2008; 51: 1-14.
  • Pate RR, Pfeiffer KA, Trost SG, Ziegler P, Dowda M. Physical activity among children attending preschools. Pediatrics, 2004; 114 (5): 1258-1263.
  • Patel SR, Hu BF. Sleep duration and weight gain: a systematic review. Obesity, 2008; 16 (3): 643-653. 31. Spruyt K, O‘Brien LM, Cluydts R, Verleye GB, Ferri R. Odds prevalence and predictors of sleep problems in school-age normal children. J Sleep Res., 2005; 14 (2): 163-176.
  • Stefan L, Sorić M, Devrnja A, Petrić V, Mišigoj-Duraković M. One-year changes in physical activity and sedentary behavior among adolescents: the Croatian physical activity in adolescence longitudinal study (CRO-PALS). International Journal of Adolescent Medicine and Health, 2018; 30 (6): e-article.
  • T. C. Ministry of Health, Public Health Agency of Turkey.: Turkey Physical Activity Guide (2nd Edition), 2014; 940: 2-3.
  • Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, Tomson LM, Cuddihy TF. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med., 2004; 38 (6): 857-864.
  • Weinstein AM. Computer and video game addiction—a comparison between game users and non-game users. The American Journal of Drug and Alcohol Abuse, 2010; 36 (5): 268-276.
  • Westerterp KR. Changes in physical activity over the lifespan: impact on body composition and sarcopenic obesity. Obesity Reviews, 2018; 19 (1): 8-13.
  • World Health Organization, Regional Committee for Europe: Physical activity strategy for the WHO European Region, Vilnius, Lithuania, 2015.
Türk Spor ve Egzersiz Dergisi-Cover
  • Başlangıç: 1999
  • Yayıncı: Selçuk Üniversitesi, Spor Bilimleri Fakültesi
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