physical activity

  • Does Physical Activity Protect Adolescents against Risk Behaviour?

    Author: Monika Piątkowska
    Author: Elżbieta Biernat
    Year of publication: 2016
    Source: Show
    Pages: 72-83
    DOI Address: https://doi.org/10.15804/tner.2016.46.4.06
    PDF: tner/201604/tner20160406.pdf

    The aim of this work is an evaluation of the relation between risk behaviour of adolescents (bad eating habits, sedentary behaviour and abuse of psychoactive substances and stimulants) and fulfilling pro-health recommendations related with physical activity. The survey study was conducted in 2016 in Warsaw middle and high schools among 609 students using standardised international tools. World Health Organisation recommendations concerning pro-health physical activity level are met only by 24.2% of surveyed teenagers. Physical activity is a  factor protecting teenagers from sitting for over 2 hours a day and bad eating habits. Prophylactic programs should consider promotion of physical activity.

  • Correlates of Physical Activity Older Adults Attending to Senior Citizens’ Clubs

    Author: Krzysztof Sas-Nowosielski
    Institution: Jerzy Kukuczka Academy of Physical Education in Katowice
    ORCID: https://orcid.org/0000-0002-9569-5954
    Author: Sylwia Szopa-Wiśnios
    Institution: Jerzy Kukuczka Academy of Physical Education in Katowice
    ORCID: https://orcid.org/0000-0002-1263-6685
    Year of publication: 2022
    Source: Show
    Pages: 80-90
    DOI Address: https://doi.org/10.15804/tner.22.67.1.06
    PDF: tner/202201/tner6706.pdf

    Assessing the correlates of older adults’ leisure-time physical activity (PA) is essential to effectively promote these populations’ active lifestyles. Few studies have been published about PA correlates of older adults in Poland. The aim of this study was thus to identify correlates of self-reported PA of older adults. Participants were 577 members of senior citizen clubs aged 70.72±8.04 years. Questionnaires were used to collect data of PA, psychological, perceived social and environmental variables related to PA. Results of regression analyses with four levels of PA as dependent variables and psychosocial factors as independent variables showed that all models were significant, explaining the variance from 8% (walking) to 20% (VPA). Age and accessibility of fitness facilities were significant predictors in the final regression equation used to explain all levels of PA except walking. Time spent on TV predicted walking, LPA and MPA.

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