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Socioeconomic inequalities in health-related fitness gradient shifts between 2001 and 2022 in young Polish adults

Bibliographic Data

ID22079675
AuthorsJarosław Domaradzki (0000-0001-8057-3033, Wroclaw University of Health and Sport Sciences), Dawid Koźlenia (0000-0002-5304-7879, Wroclaw University of Health and Sport Sciences, corresponding author), Katarzyna Kochan (0000-0003-2632-3556, Wroclaw University of Health and Sport Sciences), Katarzyna Kochan-Jacheć, Paweł Szkudlarek (Wroclaw University of Health and Sport Sciences), Jarosław Fugiel (0000-0001-8333-6412, Wroclaw University of Health and Sport Sciences)
Year2023
Volume11
Pages1163215-1163215
Publication date2023-05-09
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1163215
PMID37228712
OpenAlexW4378348814
LanguageEN
References cited48

Background This study aimed to assess the importance of socioeconomic status (SES) on health-related fitness (H-RF) measurements in young adults and determine the impact of SES over 20 years of substantial social and economic changes in Poland. Material and methods The study compared H-RF differences between 2001 (P 1 ) and 2022 (P 2 ) in 252 volunteers aged 18 to 28 years who were grouped into quartiles based on SES and gender. The variables measured included height, weight, body mass index, body fat mass, hand strength (hand grip), abdomen strength (sit-ups), flexibility (sit and reach), and leg power (standing long jump), with a synthetic motor performance index (MPSI) calculated for each participant. Results Health-related differences based on social inequalities included body fat mass and MPSI, and two-way analysis of variance (ANOVA) revealed an interaction between SES and period on motor performance (F = 2.73, p = 0.045). In addition, post-hoc tests revealed differences in P 1 between SES quartiles one and two ( p = 0.028). Over the last 20 years, physical fitness decreased and body fat increased. The regression slope showed decreased motor performance with higher amounts of body fat in P 2 subjects compared to their P 1 peers. Conclusion The observed trends may be associated with lifestyle changes shaped by technology development, high-energy and low-quality food access, and increased physical inactivity

Analysis of variance · Body mass index · Confidence interval · Environmental health · Grip strength · Physical fitness · Physical therapy · Population · Quartile · Socioeconomic status · Demography · Medicine · Nutrition and Health in Aging · Obesity, Physical Activity, Diet · Physical Activity and Health · Psychology · Gerontology · Internal Medicine

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