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Identifying Predictors of Changes in Physical Activity Level in Adolescence: A Prospective Analysis in Bosnia and Herzegovina

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  • Vesna Miljanovic Damjanovic

    (Clinic for Physical Medicine and Rehabilitation, University Hospital Mostar, 88000 Mostar, Bosnia and Herzegovina
    Faculty of Health Sciences, University of Mostar, 88000 Mostar, Bosnia and Herzegovina)

  • Lejla Obradovic Salcin

    (Clinic for Physical Medicine and Rehabilitation, University Hospital Mostar, 88000 Mostar, Bosnia and Herzegovina
    Faculty of Health Sciences, University of Mostar, 88000 Mostar, Bosnia and Herzegovina)

  • Natasa Zenic

    (Faculty of Kinesiology, University of Split, 21000 Split, Croatia)

  • Nikola Foretic

    (Faculty of Kinesiology, University of Split, 21000 Split, Croatia)

  • Silvester Liposek

    (University of Maribor, 2000 Maribor, Slovenia)

Abstract

It is known that physical activity levels (PA levels) decline during adolescence, but there is a lack of knowledge on possible predictors of changes in PA levels in this period of life. This study aimed to prospectively investigate the relationship between sociodemographic and behavioral factors (predictors), PA levels and changes in PA levels in older adolescents from Bosnia and Herzegovina. The sample comprised 872 participants (404 females) tested at baseline (16 years of age) and at follow-up (18 years of age). Predictors were sociodemographic characteristics (age, gender, socioeconomic status, urban/rural residence, paternal and maternal education level) and variables of substance misuse (consumption of cigarettes, alcohol and illicit drugs). The PA level, as measured by the Physical Activity Questionnaire for Adolescents (PAQ-A), was observed as a criterion. Boys had higher PAQ-A scores than girls at baseline and follow-up. Paternal education levels were correlated with PAQ-A scores at baseline (Spearman’s R: 0.18, 0.15 and 0.14, p < 0.05, for the total sample, females and males, respectively) and at follow-up (Spearman’s R: 0.12, p < 0.01 for the total sample). Logistic regression, which was used to calculate changes in PA levels between baseline and follow-up as a binomial criterion (PA decline vs. PA incline), evidenced a higher likelihood of PA incline in adolescents whose mothers were more educated (OR: 1.29, 95% CI: 1.05–1.60) and who live in urban communities (OR: 1.56, 95% CI: 1.16–2.10). The consumption of illicit drugs at baseline was evidenced as a factor contributing to the lower likelihood of PA incline (OR: 0.36, 95% CI: 0.14–0.92). The negative relationship between illicit drug consumption and PA decline could be a result of a large number of children who quit competitive sports in this period of life. In achieving appropriate PA-levels, special attention should be placed on children whose mothers are not highly educated, who live in rural communities, and who report the consumption of illicit drugs. The results highlighted the importance of studying correlates of PA levels and changes in PA levels during adolescence.

Suggested Citation

  • Vesna Miljanovic Damjanovic & Lejla Obradovic Salcin & Natasa Zenic & Nikola Foretic & Silvester Liposek, 2019. "Identifying Predictors of Changes in Physical Activity Level in Adolescence: A Prospective Analysis in Bosnia and Herzegovina," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:14:p:2573-:d:249613
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    1. Shin-Yi Chou & Jin-Tan Liu & Michael Grossman & Ted Joyce, 2010. "Parental Education and Child Health: Evidence from a Natural Experiment in Taiwan," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 33-61, January.
    2. Natasa Zenic & Admir Terzic & Ljerka Ostojic & Nedim Sisic & Jose M. Saavedra & Hafrún Kristjánsdóttir & Margrét L. Guðmundsdóttir & Damir Sekulic, 2019. "Educational and sport factors as predictors of harmful alcohol drinking in adolescence: a prospective study in Bosnia and Herzegovina," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(2), pages 185-194, March.
    3. Sarah L. Taylor & Whitney B. Curry & Zoe R. Knowles & Robert J. Noonan & Bronagh McGrane & Stuart J. Fairclough, 2017. "Predictors of Segmented School Day Physical Activity and Sedentary Time in Children from a Northwest England Low-Income Community," IJERPH, MDPI, vol. 14(5), pages 1-16, May.
    4. Chien-Yu Lin & Jong-Hwan Park & Ming-Chun Hsueh & Wen-Jung Sun & Yung Liao, 2018. "Prevalence of Total Physical Activity, Muscle-Strengthening Activities, and Excessive TV Viewing among Older Adults; and Their Association with Sociodemographic Factors," IJERPH, MDPI, vol. 15(11), pages 1-9, November.
    5. Karel Fromel & Michal Kudlacek & Dorota Groffik & Zbynek Svozil & Adam Simunek & Wieslaw Garbaciak, 2017. "Promoting Healthy Lifestyle and Well-Being in Adolescents through Outdoor Physical Activity," IJERPH, MDPI, vol. 14(5), pages 1-15, May.
    6. Natasa Zenic & Djivo Ban & Sanja Jurisic & Mladen Cubela & Jelena Rodek & Ljerka Ostojic & Mario Jelicic & Antonino Bianco & Damir Sekulic, 2017. "Prospective Analysis of the Influence of Sport and Educational Factors on the Prevalence and Initiation of Smoking in Older Adolescents from Croatia," IJERPH, MDPI, vol. 14(4), pages 1-12, April.
    7. Alderman, Harold & Headey, Derek D., 2017. "How Important is Parental Education for Child Nutrition?," World Development, Elsevier, vol. 94(C), pages 448-464.
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    Cited by:

    1. Natasa Zenic & Małgorzata Lipowska & Dora Maric & Sime Versic & Hrvoje Vlahovic & Barbara Gilic, 2021. "Exploring the Association between Alcohol Drinking and Physical Activity in Adolescence; Two-Year Prospective Study in Younger Adolescents from Bosnia and Herzegovina," IJERPH, MDPI, vol. 18(22), pages 1-12, November.

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