Leisure-Time Physical Activity Participation Trends 2014–2018: A Cross-Sectional Study in Poland

Biernat, Elżbieta; Piątkowska, Monika

doi:10.3390/ijerph17010208

Cited by 16 publications

(13 citation statements)

References 51 publications

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“…This study revealed that LTPA increased significantly from 2000 to 2018 in Estonia. The findings of the previous studies in European countries are in line with this study [ 8 , 9 , 10 , 12 , 25 , 26 ]. The underlying reasons for increased levels of LTPA in Estonia can only be speculated, but it is possible that the systematic promotion of physical activity (creation of prerequisits and opportunities for health development, raising people’s awareness of these opportunities and health behavior) over the last decades as one activities of National Health Plan in 2009−2020 may have had a role in this change [ 27 ].…”

Section: Discussionsupporting

confidence: 92%

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Leisure Time Physical Activity and Associated Factors among Adults in Estonia 2000–2018

Mikk

Ringmets

Pärna

2021

IJERPH

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In order to implement evidence-based strategies, there is a need to assess (1) time trend in leisure time physical activity (LTPA) and (2) the relationship between trend of LTPA and trend of potential explanatory factors in Estonia from 2000 to 2018. Data from 25−64-year-old adults (n = 16,903) were drawn from cross-sectional surveys of Health Behavior among Estonian Adult Population. Joinpoint regression analysis was used to calculate annual percentage changes (APCs) and to identify whether there was a significant change in trends of LTPA. Logistic regression analysis was used to assess associations of LTPA with socioeconomic, health-related and health-behavioral factors. Prevalence of LTPA increased from 26.2% to 44.1% among men and from 28.0% to 40.6% among women from 2000 to 2018 (p < 0.001). Average APC for men was 3.4% (95% CI 2.6−4.3) and for women 2.4% (95% CI 1.4−3.4). Adjusted logistic regression model showed that LTPA was statistically significantly associated with higher education and income, economic inactivity, at-least-good self-rated health (SRH) and non-smoking. Interaction of SRH with study year was significant indicating that the association of at-least-good SRH changed over time (p = 0.016). Health promotion activities should be addressed in particular to adults with lower levels of LTPA, paying attention to the factors associated with LTPA.

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Section: Discussionsupporting

confidence: 92%

“…In Finland, high LTPA has increased in men from 21% to 33% and women from 12% to 27% in 1982–2012 [ 8 ]. In Poland, LTPA increased among men and women in 2014–2018 reaching to 43.9% and 43.5%, respectively [ 9 ]. In Norway, LTPA decreased from 23.2% to 16.0% in 1979–2001 and subsequently increased to 24.3% in 2008 [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Leisure Time Physical Activity and Associated Factors among Adults in Estonia 2000–2018

Mikk

Ringmets

Pärna

2021

IJERPH

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“…For example, previous studies suggested that sex is an important determinant of PA. As a result, more attention was paid to women who were less often active than men [ 28 – 30 ]. Currently, since the mid-1990s, women have successively decreased the difference in participation in LTPA compared to men [ 31 , 32 ]. Our results show that sex conditions the volume of undertaken LTPA and TPA (more often participation of men); however, it does not determine the inactivity of seniors.…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic Determinants of Physical Inactivity of People Aged 60 Years and Older: A Cross-Sectional Study in Poland

Biernat

Piątkowska

2020

BioMed Research International

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Purpose. The aim of the study was to evaluate general physical activity (PA) level on the basis of leisure time and transportation physical activity (LTPA and TPA), assess the percentage of persons not meeting PA recommendations by the World Health Organisation (WHO), and evaluate the relationship between selected sociodemographic factors and physical inactivity. Methods. The paper is based on data ( n = 7,347 ) retrieved from five large-scale surveys (2014-2018) used to collect information on the PA of Polish society. In order to meet the aim of the paper, we selected a sample of 2,023 Poles aged ≥ 60 years old. In each wave, the Polish long version of the International Physical Activity Questionnaire was used. Mann–Whitney U and Kruskal-Wallis tests were used to investigate the differences between the types and volume of PA and sociodemographic variables. Relationships between physical inactivity and analysed variables were evaluated using log-linear analysis. To capture relationships between physical inactivity and a set of explanatory variables, a predictive model was built. Results. The total average energy expenditure amounted to 1879.5 ± 2352.5 MET-min/week, including LTPA ( 938.5 ± 1491.9 MET-min/week) and TPA ( 944.8 ± 1322.4 MET-min/week). Over the course of the last two years of the study, the average value of MET-min/week increased significantly ( p < 0.05 ); however, prohealth WHO norms are not met by nearly 40% of Poles. Sex determines the volume of LTPA and TPA ( p < 0.05 ) but does not determine the inactivity of seniors. Place of residence and education differentiate participation in LTPA and TPA. The lower the education level and the smaller the place of residence, the greater the inactivity. Conclusions. The target for future interventions should be people aged 60+ living in villages and small towns (especially those with primary education). It is necessary to undertake educational and motivational programmes promoting PA. It is essential to develop detailed recommendations and to create a friendly and supportive environment.

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“…PA was assessed using the International Physical Activity Questionnaire (IPAQ) [13] and the Minnesota Leisure Time Physical Activity Questionnaire (MLTPAQ) [14]. The questionnaires concerning activity were conducted by the researcher and covered a typical week of the subject's life in March and November [15]. For the assessment of non-motor symptoms (NMS), the following evaluations were used: depression and anxiety-the Beck Depression Inventory (BDI) [16] and the Hospital Anxiety and Depression Scale (HADS) [17], apathy-the Apathy Scale (AS) [18], fatigue-the Parkinson's Fatigue Scale (PFS−16) [19,20], sleep disturbances-the Pittsburgh Sleep Quality Ratio (PSQI) [21,22], and excessive daytime sleepiness-the Epworth Sleepiness Scale (ESS) [22].…”

Section: Methodsmentioning

confidence: 99%

What Determines Spontaneous Physical Activity in Patients with Parkinson’s Disease?

Gorzkowska

Małecki

Klimkowicz‐Mrowiec

et al. 2020

JCM

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Physical activity (PA) is a factor that may have an influence on the symptoms of Parkinson’s disease (PD). The aim of this study was to identify the potential determinants of spontaneous PA in a PD patient group. A total of 134 PD patients aged 65.2 ± 9.2 years with a Hoehn–Yahr scale score ≤4 and a Mini Mental State Examination (MMSE) score ≥24 were examined. For the study’s purposes, the authors analyzed age, sex, education, history of PD, dopaminergic treatment, the severity of PD symptoms using Unified Parkinson’s Disease Rating Scale (UPDRS), and Hoehn–Yahr scale. Additionally, all participants were evaluated through a set of scales for specific neuropsychiatric symptoms including depression, anxiety, apathy, fatigue, and sleep disorders. A linear regression analysis was used with backward elimination. In the total explanatory model, for 12% of the variability in activity (R2 = 0.125; F(16.133) = 2.185; p < 0.01), the significant predictor was starting therapy with the dopamine agonist (DA) (β= 0.420; t= 4.068; p = 0.000), which was associated with a longer duration of moderate PA. In the total explanatory model, for more than 13% of the variance in time spent sitting (R2 = 0.135; F(16.130) = 2.267; p < 0.01), the significant predictors were secondary education and the results of the UPDRS. The patients with secondary and vocational education, those starting treatment with DA and those with a less severe degree of Parkinson’s symptoms (UPDRS), spent less time sitting in a day. It is possible to identify determinants of spontaneous PA. It may elucidate consequences in terms of influence on modifiable conditions of PA and the proper approach to patients with unmodifiable PA factors.

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Leisure-Time Physical Activity Participation Trends 2014–2018: A Cross-Sectional Study in Poland

Cited by 16 publications

References 51 publications

Leisure Time Physical Activity and Associated Factors among Adults in Estonia 2000–2018

Leisure Time Physical Activity and Associated Factors among Adults in Estonia 2000–2018

Sociodemographic Determinants of Physical Inactivity of People Aged 60 Years and Older: A Cross-Sectional Study in Poland

What Determines Spontaneous Physical Activity in Patients with Parkinson’s Disease?

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