Wzory zachowań dotyczących aktywności fizycznej i zajęć związanych z siedzącym trybem życia polskich 13-latków

Jodkowska, Maria; Oblacińska, Anna; Tabak, Izabela

doi:10.1016/j.pepo.2013.08.008

Cited by 4 publications

(6 citation statements)

References 9 publications

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“…This finding is comparable to other studies that reported that some children who spend a lot of time on team sports also spend a lot of time on sedentary activities (Jago et al, 2011). Similarly, Jodkowska et al (2013a) showed that the behaviour of a sedentary lifestyle is not competitive in relation to physical activity for teenagers.…”

Section: Discussionsupporting

confidence: 86%

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The Use of Cluster Analysis for Non-Continuous Variables in the Assessment of Dietary Behaviours and Physical Activities in Primary School Children

Zalewska

Genowska

Jamiołkowski

et al. 2015

Studies in Logic, Grammar and Rhetoric

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Abstract. Physical activity, along with proper nutrition, is a very important element in child development. Lack of everyday, regular physical activity among young people is a public health problem. The aim of the study was to use cluster analysis to assess the relationship between nutrition and physical activity levels of primary school children. The study included 682 students from randomly selected elementary schools and was performed using a proprietary questionnaire during the 2013/2014 school year. The questionnaire contained questions about eating habits and physical activity, as well as the socio-economic conditions of families. Clusters of students of similar dietary habits were identified using cluster analysis and subsequently compared in terms of physical activity level. We identified four clusters, characterized by relative internal homogeneity and at the same time variability between one another in terms of number of meals throughout the day and time of their consumption. The most important characteristic of Cluster 1 was eating four meals a day including breakfast, which is the most important meal of the day. The diets of children in Cluster 2 abounded with raw vegetables and fruits. Students in Cluster 3 were characterized by a regular and varied diet. The least appropriate behaviour in the field of nutrition was observed among students belonging to Cluster 4. Cluster analysis in the studied population allowed relationships between dietary habits and physical activity to be described. By using the UIAF indicator (Moderate to Intense Physical Activity), a statistically significant association between the eating habits of the children and their physical activity levels was observed. A sufficient level of physical activity was observed in most students belonging to Cluster 3, and high levels of physical activity were observed in a small percentage of children belonging Cluster 4. An average level of physical activity was observed in a high percentage of children belonging to Cluster 4. Low levels of physical activity were most frequently observed in Clusters 4 and 1 and least frequently observed in Cluster 3. All of the identified active forms of free-time activity were most commonly acknowledged in Cluster 3. The study supports a beneficial relationship between students' eating behaviours and physical activity.

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Section: Discussionsupporting

confidence: 86%

“…It should be noted that the time spent on various sedentary activities accumulates. In addition, the pattern of leisure activity tends to persist from childhood and young age to adulthood (Jodkowska et al, 2013a;Tremblay et al, 2011). Our study revealed that watching TV or using the computer in free time was observed in 51.8% of students.…”

Section: Discussionmentioning

confidence: 64%

The Use of Cluster Analysis for Non-Continuous Variables in the Assessment of Dietary Behaviours and Physical Activities in Primary School Children

Zalewska

Genowska

Jamiołkowski

et al. 2015

Studies in Logic, Grammar and Rhetoric

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“…Canadian children 7–11-year-old from less affluent families were less likely to use a computer, but also less likely to participate in vigorous physical activities [58]. We hypothesize that the Fast-Food-Sedentary pattern of Polish teenagers is a result of time spent in front of the TV screen, as a cheap model of spending leisure time [22,59].…”

Section: Discussionmentioning

confidence: 99%

“…There have been several studies focused on the clustering of dietary-related and lifestyle-related behaviours in teenagers [2,10,13,14,15,16,17,18,19,20,21,22,23,24]. Two main patterns, one described as an ‘active and healthy lifestyle’ and the opposite as a ‘high screen time and unhealthy lifestyle’, were reported in school-age children from Spain [14], Finland [15] and nine European countries [25].…”

Section: Introductionmentioning

confidence: 99%

Prudent-Active and Fast-Food-Sedentary Dietary-Lifestyle Patterns: The Association with Adiposity, Nutrition Knowledge and Sociodemographic Factors in Polish Teenagers—The ABC of Healthy Eating Project

et al. 2018

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A holistic approach to understanding the relationship between diet, lifestyle and obesity is a better approach than studying single factors. This study presents the clustering of dietary and lifestyle behaviours to determine the association of these dietary-lifestyle patterns (DLPs) with adiposity, nutrition knowledge, gender and sociodemographic factors in teenagers. The research was designed as a cross-sectional study with convenience sampling. The sample consisted of 1549 Polish students aged 11–13 years. DLPs were identified with cluster analysis. Logistic regression modelling with adjustment for confounders was applied. Three dietary-lifestyle patterns were identified: Prudent-Active (29.3% of the sample), Fast-food-Sedentary (13.8%) and notPrudent-notFast-food-lowActive (56.9%). Adherence to Prudent-Active pattern (reference: notPrudent-notFast-food-lowActive) was 29% or 49% lower in 12-year-old or 13-year-old teenagers than in 11-year-old teenagers, respectively, and higher by 57% or 2.4 times in the middle or the upper tertile than the bottom tertile of the nutrition knowledge score. To the contrary, adherence to Fast-food-Sedentary (reference: notPrudent-notFast-food-lowActive) was lower by 41% or 58% in the middle or the upper tertile than the bottom tertile of the nutrition knowledge score, respectively. In Prudent-Active, the chance of central obesity (waist-to-height ratio ≥0.5) was lower by 47% and overweight/obesity was lower by 38% or 33% (depending on which standard was used: International Obesity Task Force, 2012: BMI (body mass index)-for-age ≥ 25 kg/m2 or Polish standards, 2010: BMI-for-age ≥ 85th percentile) when compared with the notPrudent-notFast-food-lowActive pattern. In Fast-food-Sedentary, the chance of central obesity was 2.22 times higher than the Prudent-Active pattern. The study identified a set of characteristics that decreased the risk of general and central adiposity in teenagers, which includes health-promoting behaviours related to food, meal consumption and lifestyle. Avoiding high-energy dense foods is insufficient to prevent obesity, if physical activity and the consumption frequency of health-promoting foods are low and breakfast and a school meal are frequently skipped. The results highlight the importance of the nutrition knowledge of teenagers in shaping their health-promoting dietary habits and active lifestyle to decrease adiposity risk and negative aspects of lower family affluence which promotes unhealthy behaviours, both related to diet and lifestyle.

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“…Physical activity (PA) is the basic factor of human development, which aims to achieve the expected results, but also to maintain the already achieved fitness and health at a given level [9]. Even the smallest piece of PA gives the body many benefits [10]. It reduces the risk of depression and stress, as well as heart disease, respiratory disease, hypertension, and stroke.…”

Section: Physical Activitymentioning

confidence: 99%

Association between smartphone addiction, physical activity, and overweight or obesity occurrence among Polish adolescents

Rękas,

Burzyńska

2024

polp

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Introduction: Smartphone addiction (SA) is a growing problem among adolescents, and it may have adverse health outcomes. The aim of this study was to analyse the risk of SA according to the level of physical activity (PA), and the occurrence of overweight and obesity in a population of 460 adolescents -students of secondary schools in Poland. Material and methods:The physical activity of adolescents was assessed using a short version of the International physical activity questionnaire. Smartphone addiction, as the independent variable, was measured by the mobile phone addiction assessment questionnaire. Overweight and obesity were identified by body mass index (BMI). Waist-to-hip ratio and body height were also measured. Results: 284 (61.7%) respondents were not addicted to the smartphone, 148 (32.2%) were at risk of addiction, and 28 (6.1%) were addicted. It was found that in all respondents (n = 460) SA was associated with PA -low overall PA was associated with a higher level of SA (rho = -0.279; p < 0.0001). Moreover, the index of overall SA increased with sitting time (β = 0.113) and decreased with the general PA growth (β = -0.190). It was also shown that the increase of SA in overweight/obese adolescents was influenced by the reduction of general PA (rho = -0.343; p < 0.05), intense PA (rho = -0.268; p < 0.05), and walking (rho = -0.280; p < 0.05). Smartphone addicts were also students with higher BMI (24.77 kg/m 2 ; p < 0.0001) and higher BMI percentile (80.57; p < 0.0001). Conclusions: Smartphone addiction is significantly associated with the PA of adolescents, and it is more common among those with an insufficient level of PA. Increased BMI is also an indicator of SA. Interventions for reducing SA should take into account both the context of PA and anthropometric indicators of schoolchildren.

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Wzory zachowań dotyczących aktywności fizycznej i zajęć związanych z siedzącym trybem życia polskich 13-latków

Cited by 4 publications

References 9 publications

The Use of Cluster Analysis for Non-Continuous Variables in the Assessment of Dietary Behaviours and Physical Activities in Primary School Children

The Use of Cluster Analysis for Non-Continuous Variables in the Assessment of Dietary Behaviours and Physical Activities in Primary School Children

Prudent-Active and Fast-Food-Sedentary Dietary-Lifestyle Patterns: The Association with Adiposity, Nutrition Knowledge and Sociodemographic Factors in Polish Teenagers—The ABC of Healthy Eating Project

Association between smartphone addiction, physical activity, and overweight or obesity occurrence among Polish adolescents

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