Central European Journal of Sport Sciences and Medicine


ISSN: 2300-9705     eISSN: 2353-2807    OAI    DOI: 10.18276/cej.2020.3-01
CC BY-SA   Open Access   DOAJ  DOAJ

Liste der Ausgaben / Vol. 31, No. 3/2020
Subjective and objective assessments of physical activity in professional active women aged 50 to 64 years

Autoren: Barbara Bergier
Faculty of Health Sciences, Pope John Paul II State School of Higher Education in Biała Podlaska, Poland

Krystyna Gawlik
Faculty of Health Sciences, Pope John Paul II State School of Higher Education in Biała Podlaska, Poland

Joanna Baj-Korpak
Faculty of Health Sciences, Pope John Paul II State School of Higher Education in Biała Podlaska, Poland

Ewa Stępień
Faculty of Health Sciences, Pope John Paul II State School of Higher Education in Biała Podlaska, Poland

Agata Pocztarska-Głos
Faculty of Health Sciences, Pope John Paul II State School of Higher Education in Biała Podlaska, Poland

Mirosława Sidor
Faculty of Health Sciences, Pope John Paul II State School of Higher Education in Biała Podlaska, Poland

Adam Szepeluk
Faculty of Technical Sciences, Pope John Paul II State School of Higher Education in Biała Podlaska, Poland
Schlüsselbegriffe: physical activity women aged 50 to 64 years IPAQ-S accelerometer
Veröffentlichungsdatum der gesamten Ausgabe:2020
Seitenanzahl:12 (5-16)
Cited-by (Crossref) ?:

Abstract

Background: The aim of the study was to present data on subjective and objective assessments of physical activity in employed women and differences in their activity levels depending on age, education level, place of residence, financial status, and BMI. Another aim was to evaluate correlations of physical activity assessed subjectively and objectively with the aforementioned variables. Methods: Ninety employed women aged 50 to 64 years were divided into 3 groups. The International Physical Activity Questionnaire (IPAQ-S) was used for the subjective assessment, and the ActiGraph GT3X activity monitor was used for objective assessment. Results: The subjective assessment of total physical activity levels in the women was significantly higher than their objective assessment. The statistically significantly highest physical activity levels assessed by means of the questionnaire were found for women with the poorest financial status, or primary or secondary education levels and, for the assessments using accelerometers, the women with a BMI indicating overweight. A weak positive correlation (R = 0.25) was found between the total physical activity levels assessed subjectively and objectively. Conclusions: It seems that the use of only one tool for evaluation of physical activity level is not very conclusive. The use of both subjective and objective tools is needed to obtain reliable information about physical activity level.
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Bibliographie

1.Ainsworth, B., Cahalin, L., Buman, M., Ross, R. (2015). The current state of physical activity assessment tools. Progress in Cardiovascular Diseases, 57 (4), 387395. DOI: 10.1016/j.pcad.2014.10.005.
2.Biernat, E., Stupnicki, R., Gajewski, A.K. (2007). International Physical Activity Questionnaire (IPAQ) – Polish version. Wychowanie Fizyczne i Sport, 51 (1), 47-54.
3.Blair, S.N., Dunn, A.L., Marcus, B.H., Carpenter R.A., Jaret, P. (2001). Active living every day. Champaign: Human Kinetics Publishers.
4.Bouchard, C., Shephard, R.J. (1994). Physical activity, fitness and health: The model and key concepts. In: C. Bouchard, R.J. Shephard, T. Stephens (eds), Physical activity, fitness, and health (pp. 77-88). Champaign: Human Kinetics Publishers.
5.Butte, N.F., Ekelund, U., Westerterp, K.R. (2012). Assessing physical activity using wearable monitors: measures of physical activity. Medicine & Science in Sports & Exercise, 44 (1), 5-12.
6.Chaix, B., Kestens, Y., Duncan, S., Merrien, C., Thierry, B., Pannier, B., Brondeel, R., Lewin, A., Karusisi, N., Perchoux, C., Thomas, F. Méline, J. (2014). Active transportation and public transportation use to achieve physical activity recommendations? A combined GPS, accelerometer, and mobility survey study. International Journal of Behavioral Nutrition and Physical Activity, 11. DOI: 10.1186/s12966-014-0124-x.
7.Chia, M., Abrams, R.C. (2002). The multi-orgasmic couple: How couples can dramatically enhance their leasure, intimacy and Health. San Francisco, CA: Harper One.
8.Craig, C.L., Marshall, A.L., Sjöström, M., Bauman, A.E., Booth, M.L., Ainsworth, B.E., Pratt, M., Ekelund, U., Yngve, A., Sallis, J.F., Oja, P. (2003). International Physical Activity Questionaire: 12-Country Reliability and Validity. Medicine & Science in Sports & Exercise, 35 (8), 1381-1395.
9.Esliger, D.W., Copeland, J.L., Barnes, J.D., Tremblay, M.S. (2005). Standardizing and optimizing the use of accelerometer data for free-living physical activity monitoring. Journal of Physical Activity and Health, 3, 366-383.
10.Ferrari, P., Friedenreich, C., Matthews, C.E. (2007). The role of measurement error in estimating levels of physical activity. American Journal of Epidemiology, 166 (7), 832–840. DOI: 10.1093/aje/kwm148.
11.Hagstromer, M., Ainsworth, B.E., Oja, P., Sjostrom, M. (2010). Comparison of a subjective and an objective measure of physical activity in a population sample. Journal of Physical Activity and Health, 7 (4), 541–550. DOI: 10.1123/jpah.7.4.541.
12.Harris, T.J., Owen, C.G., Victor, C.R., Adams, R., Ekelund, U., Cook, D.G. (2009). A comparison of questionnaire, accelerometer, and pedometer: measures in older people. Medicine & Science in Sports & Exercise, 41 (7), 1392–1402. DOI: 10.1249/MSS.0b013e31819b3533.
13.Haskell, W.L., Lee, I.M., Pate, R.R., Powell, K.E., Blair, S.N., Franklin, B.A., Macera, C.A., Heath, G.W., Thompson, P.D., Bauman, A. (2007). Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Medicine & Science in Sport & Exercise, 39 (8), 1423-1434.
14.Kowalski, K., Rhodes, R., Naylor, P.J., Tuokko, H., MacDonald, S. (2012). Direct and indirect measurement of physical activity in older adults: a systematic review of the literature. International Journal of Behavioral Nutrition and Physical Activity, 9, 148. DOI: 10.1186/1479-5868-9-148.
15.Neilson, H.K., Robson, P.J., Friedenreich, C.M., Csizmadi, I. (2008). Estimating activity energy expenditure: how valid are physical activity questionnaires? The American Journal of Clinical Nutrition, 87 (2), 279–291. DOI: 10.1093/ajcn/87.2.279.
16.Neufer, P.D., Bamman, M.M., Muoio, D.M., Bouchard, C., Cooper, D.M., Goodpaster, B.H. (2015). Understanding the cellular and molecular mechanisms of physical activity-induced health benefits. Cell Metabolism, 22 (1), 4-11.
17.O’Neill, B., McDonough, S.M., Wilson, J.J., Bradbury, I., Hayes, K., Kirk, A., Kent, L., Cosgrove, D., Bradley, J.M., Tully, M.A. (2017). Comparing accelerometer, pedometer and a questionnaire for measuring physical activity in bronchiectasis: a validity and feasibility study? Respiratory Research, 18, 16. DOI: 10.1186/s12931-016-0497-2.
18.Osiński, W. (2003). Antropomotoryka. Poznań: Akademia Wychowania Fizycznego w Poznaniu.
19.Ostrowska, A. (2015). Kobiety 50+ w Polsce. Społeczny aspekt starzenia się. In: A. Ostrowska (ed.), Raport Polki 50 plus Zdrowie i jego zagrożenia (pp. 67). Fundacja MSD dla zdrowia kobiet, Narodowy Instytut Zdrowia Publicznego, Państwowy Zakład Higieny, Warszawa. Retrieved from: http://fzk.org.pl/pdf/RAPORT_Polki_50plus_fin_web.pdf.
20.Prince, S.A., Adamo, K.B., Hamel, M.E., Hardt, J., Connor Gorber, S., Tremblay, M. (2008). A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 5, 56. DOI: 10.1186/1479-5868-5-56.
21.Riekert, K.A., Ockene, J.K., Pbert, L. (2013). The handbook of health behavior change. New York: Springer Publishing Company.
22.Sabia, S., Cogranne, P., van Hees, V.T., Bell, J.A., Elbaz, A., Kivimaki, M., Singh-Manoux, A. (2015). Physical Activity and Adiposity Markers at Older Ages: Accelerometer Vs Questionnaire Data. Journal of the American Medical Directors Association, 16 (5), 438.e7-.e13. DOI: 10.1016/j.jamda.2015.01.086.
23.Sallis, J.F., Bowles, H.R., Bauman, A., Ainsworth, B.E., Bull, F.C., Craig, C.L. (2009). Neighborhood environments and physical activity among adults in 11 countries. American Journal of Preventive Medicine, 36 (6), 484-490.
24.Skender, S., Ose, J., Chang-Claude, J., Paskow, M., Brühmann, B., Siegiel, E.M., Steindorf, K., Ulrich, C.M. (2016). Accelerometry and physical activity questionnaires – a systematic review. BMC Public Health, 16, 515. DOI: 10.1186/s12889-016-3172-0.
25.Słońska, Z. (2015). Proces starzenia się a promocja zdrowia i opieka zdrowotna dla kobiet w wieku 50+. In: A. Ostrowska (ed.), Raport Polki 50 plus Zdrowie i jego zagrożenia (pp. 99-104). Warszawa: Fundacja MSD dla zdrowia kobiet, Narodowy Instytut Zdrowia Publicznego, Państwowy Zakład Higieny. Retrieved from: http://fzk.org.pl/pdf/RAPORT_Polki_50plus_fin_web.pdf.
26.Tomioka, K., Iwamoto, J., Saeki, K., Okamoto, N. (2011). Reliability and validity of the International Physical Activity Questionnaire (IPAQ) in elderly adults: the Fujiwara-kyo Study. Journal of Epidemiology, 21 (6), 459–465. DOI: 10.2188/jea.je20110003.
27.Trost, S.G., Trost, S.G., Mclver, K.L., Pate, R.R. (2005). Conducting accelerometer-based activity assessments in field-based research. Medicine & Science in Sports & Exercise, 37, 531-543.
28.Wanner, M., Martin, B.W., Meier, F., Probst-Hensch, N., Kriemler, S. (2013). Effects of filter choice in GT3X accelerometer assessments of free-living activity. Medicine & Science in Sports & Exercise, 45, 1700177.
29.World Health Organization (2014). Global status report on noncommunicable diseases 2014. Geneva: WHO.