Physical activity levels of rural and urban seniors in the region of Warmia and Mazury in Poland

Omelan, Aneta; Podstawski, Robert; Wziątek, Bogdan; Merino-Marbán, Rafael; Ramos, Óscar Romero

doi:10.29359/bjhpa.09.4.07

Cited by 10 publications

(15 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides the well-known influence of these variables on HRQoL and physical health status in older people, there is some evidence that older rural residents experience a health disadvantage compared to urban residents [ 34 ]. Nonetheless, there is no consistent evidence that older people living in rural areas have low scores of physical fitness, PA, and HRQoL compared to those living in urban areas [ 35 , 36 , 37 , 38 ]. For instance, in studies performed in China ( n = 1029) and Brazil ( n = 2292), the urban older residents showed greater HRQoL than their rural counterparts [ 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Physical Activity Levels and Functional Fitness Status on the Quality of Life Perceived by Older Adults Living in Rural and Urban Areas: The Portuguese Inland Case

et al. 2022

View full text Add to dashboard Cite

Health-related quality of life (HRQoL) is influenced by several factors, such as living place, physical activity (PA), and functional fitness levels. Evidence shows that functional fitness and PA levels are strongly associated with positive HRQoL, especially in the older population. However, the impact of the living place has not been investigated as an influencing variable in this context. Therefore, this study aimed to investigate the relationship between the HRQoL, PA, and functional fitness of older adults living in rural and urban areas of Portugal. A cross-sectional study was performed with community-dwelling adults aged 65 years and over (n = 261) living in the city of Guarda. The participants were assessed for sociodemographic, anthropometric, clinical health, HRQoL, PA levels, and functional fitness status. The results showed that rural residents presented higher scores of HRQoL and functional fitness than older individuals living in urban areas. Regression models showed that functional fitness variables influence the HRQoL overall score and mental and physical subcomponents of HRQoL, regardless of the living place. In contrast, PA levels only influenced the HRQoL score in rural residents. The findings suggest that intervention programs to improve the physical health, quality of life, and well-being of the older population need to consider the country’s different geographical areas.

show abstract

Section: Introductionmentioning

confidence: 99%

The Impact of Physical Activity Levels and Functional Fitness Status on the Quality of Life Perceived by Older Adults Living in Rural and Urban Areas: The Portuguese Inland Case

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Reaching them and carrying out the research was difficult because they do not belong to senior citizens' organisations and rarely use the Internet (Omelan et al 2017;Omelan et al 2020), that is why most of the respondents in this study lived in urban areas. The predominance of women in the study group is not surprising as it has been widely documented that, in developed countries, females live longer than males.…”

Section: Discussionmentioning

confidence: 99%

“…It was definitely easier to reach older people living in cities, as they often belong to formal and informal senior or-ganizations, participate in various activities and are more willing to take part in surveys. In addition, a study by Omelan et al (2017), shows that Polish seniors also differ in terms of their preferred leisure activities -Urban seniors read more and are more physically active, while rural seniors watch more TV, are less physically active, and rarely use a computer. The participants were surveyed with the use of a questionnaire to elicit information about their socioeconomic status (place of residence, education, self-assessment of material situation, marital status).…”

Section: Methodsmentioning

confidence: 99%

“…Depending on the country and gender of the respondents, the associated socioeconomic variables include education, occupation, and financial situation. In Poland, individuals who are above 60 years of age differ in terms of various characteristics, such as the type of community in which they live, their level of education, or their amount of physical activity (Omelan et al 2017;Omelan et al 2020), which may be associated with differences in their body composition. However, to the authors' knowledge, these potential associations have not been examined in north-eastern Poland.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Body composition and level of physical activity of elderly people living in north-eastern Poland associated with socioeconomic factors

Omelan

Borysławski

Podstawski

2022

View full text Add to dashboard Cite

Introduction: Studies conducted in various regions of the world have indicated that physical activity level, body composition and socioeconomic variables can be associated. Therefore, the objective of this study was to determine whether socioeconomic factors are associated with level of physical activity and differences in the body composition of elderly people living in north-eastern Poland. Materials and Methods: The study involved 774 older residents (60 years or more). Physical activity levels were measured with the International Physical Activity Questionnaire. The respondents’ body composition was determined with an InBody 270 analyser. Pairs of means were compared with Student’s t-test; more than two means were compared with one-way ANOVA; and proportions were compared with the chi-square test. Statistical significance was defined as p≤0.05. Results: The marital status of men and women was significantly associated with differences in physical activity level and body composition. The place of residence and level of education of women (but not of men), were also significantly associated with differences in body composition. Age and material situation were not significantly associated with differences in body composition and physical activity level. Conclusion: The mean values of parameters of body composition in the surveyed group exceeded the norms. The level of physical activity of the subjects is at a sufficient level, but in the case of women it depends on socio-economic characteristics. Therefore, there is a need to find effective ways to support older adults in maintaining (or increase) their physical activity with a particular focus on women.

show abstract

“…Since the use of smartphones is increasingly widespread among younger as well as older populations, their use for PA self-monitoring is continuously increasing. Subjective evaluation of PA levels [5] could thus be upgraded with the monitoring of PA with smartphones. However, it is not evident whether accuracy of the smart-phone technology is already suffcient also for the purposes of research that reeuires precise collection of real-time PA for longer periods of time [6] and in different occupational and environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of “S Health” pedometer application during walking and stair climbing

Šinkovec

Rugelj

2020

BJHPA

View full text Add to dashboard Cite

Background: The S Health application provides an estimate of the amount of physical activity by measuring the number of steps during activities. The purpose was to assess the accuracy of step-counting with different smartphones using the S Health step counting application at long and short walking distances, and stair climbing. Material and methods: 26 participants (aged 28.85 ± 4.85 years) conducted three tests: 20-step test, 60-step stair test, and 6-minute walk test. Three smartphones models of the latest generation and two models of an earlier one were assessed. The StepWatch pedometer was used as a criterion. Results: Only one phone of the latest generation produced the most consistent and accurate results as compared to the pedometer in the 60-step stair test and 6-minute walk test (r=0.840), while the correlation of the other four smartphones was weak, from r=0.257 to r=0.482. Generally, the accuracy increased with the increasing amount of steps in all devices and the mean absolute percentage error decreased. Errors ranged between 5.8 and 56.9% for the 20-step test, 1.9-22.4% for the 60-step stair test, and 1.1-17.8% for the 6-minute walk test. Conclusion: The results suggest that accuracy of smart-phones increase with increased number of steps and correspond to newer models

show abstract

Physical activity levels of rural and urban seniors in the region of Warmia and Mazury in Poland

Cited by 10 publications

References 28 publications

The Impact of Physical Activity Levels and Functional Fitness Status on the Quality of Life Perceived by Older Adults Living in Rural and Urban Areas: The Portuguese Inland Case

The Impact of Physical Activity Levels and Functional Fitness Status on the Quality of Life Perceived by Older Adults Living in Rural and Urban Areas: The Portuguese Inland Case

Body composition and level of physical activity of elderly people living in north-eastern Poland associated with socioeconomic factors

Accuracy of “S Health” pedometer application during walking and stair climbing

Contact Info

Product

Resources

About