Relationship Between Health Literacy, Physical Activity, Motivation and Barriers of People Aged 30–50 Years

Valatkaitytė, Viktorija; Česnaitienė, Vida Janina

doi:10.33607/bjshs.v2i113.787

Cited by 6 publications

(7 citation statements)

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“…It revealed that limited health literacy was associated with poor health status, having more than one long-term illness and the higher use of health care services involving six or more consultations with doctors in the last 12 months [4]. Other studies, in which national versions of the HL questionnaire developed within the HLS-EU project were used, confirmed that low HL may be associated with people's poor self-assessment of health status [12,20], the prevalence of long-term illnesses [12], the higher utilisation of health care resources [14,21], and a lower level of physical activity [22][23][24].Although the scope of information which arises from the HLS-EU-Q47 is extensive, it appears that the size of the tool may result in reduced compliance of respondents, especially if the questionnaire is used as a part of a survey which is also focused on other issues. Therefore, a shortened but also validated, the 16-item version has been used in many surveys (HLS-EU-Q16) [5,12,[25][26][27][28][29].…”

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confidence: 94%

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confidence: 94%

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Determinants and Consequences of Limited Health Literacy in Polish Society

Duplaga

2020

IJERPH

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Background: Health literacy (HL) is perceived as one of the most important concepts for modern health promotion activities to be successful. The research undertaken in the context of HL usually focuses on its antecedents and consequences, either for specific groups of patients or society or for the whole population. Objectives: The main aim of this study was to assess the antecedents and consequences of limited health literacy (HL) in a nationally representative sample of the Polish population. Methods: The analysis was carried out on the data obtained from a sample of 1000 Polish citizens through a telephone-based survey undertaken using a short, 16-item questionnaire developed within the European Health Literacy Project (HLS-EU). The total HLS score was calculated according to the guidelines published by the HLS-EU project. Chi2 test and logistic regression models were used for the analysis of the relationships between the variables. Results: The mean HL score (standard deviation) in the study sample was 12.99 (3.11). HL was related to age, marital and vocational status. Limited HL was associated with a lower self-assessment of health (OR, 95% CI: 2.52, 1.54-4.13), the prevalence of obesity and disability (1.71, 1.13-2.57, and 1.92, 1.25-2.94, respectively), less frequent physical activity (0.70, 0.49-0.99), a lower consumption of fruits and vegetables (0.47, 0.34-0.65), and with more frequent hospitalisations (2.02, 1.38-2.95). Conclusions: The assessment of HL using the16-item HLS-EU questionnaire may be a useful tool to enable health behaviours and utilisation of health care resources by society to be predicted.The research undertaken in the context of HL usually focuses on its antecedents and consequences, either for specific groups of patients or citizens or for the whole population. The available evidence from population studies shows that health literacy may depend on sex, age, level of education, economic and/or social status, and the type of vocational activities. In the research carried out to date, it has been demonstrated that lower HL is displayed by men rather than by women [4][5][6][7], by people having lower levels of educational attainment than by those with higher levels [4][5][6][7][8][9][10][11][12], by single people than by married people [7,13], by people with lower social status than by those with a higher status [8,11,14], by people of lower rather than those of higher economic status or income [4,[7][8][9]13,15,16] and, finally, by people living in more challenging conditions [6,8]. In most studies, there was also a general trend for HL decreasing with age [4,6,8,9,15].The efforts undertaken in the last decade resulted in a comprehensive assessment of the consequences of limited health literacy. In 2011, the updated version of the systematic review authored by Berkman et al. [16] was published. This stated that low HL might be associated with more frequent hospital admissions and the use of emergency care; lower participation in screening programmes, e.g., mammography; lower receipt of ...

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confidence: 94%

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confidence: 94%

Determinants and Consequences of Limited Health Literacy in Polish Society

Duplaga

2020

IJERPH

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“…Similarly, physical literacy can be described as a disposition to take advantage of embodied human capacity in which the individual has the motivation, confidence, physical competence, knowledge, and understanding to value and take responsibility for maintaining meaningful physical activity throughout life [ 93 ]. It has been shown that active people have a higher health literacy than inactive people [ 94 ]. In addition to providing monitoring of activities to increase physical activity, a comprehensive approach could also focus on health and physical literacy.…”

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confidence: 99%

Wearable Activity Trackers in the Management of Rheumatic Diseases: Where Are We in 2020?

Davergne

Rakotozafiarison

Servy³

et al. 2020

Sensors

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In healthcare, physical activity can be monitored in two ways: self-monitoring by the patient himself or external monitoring by health professionals. Regarding self-monitoring, wearable activity trackers allow automated passive data collection that educate and motivate patients. Wearing an activity tracker can improve walking time by around 1500 steps per day. However, there are concerns about measurement accuracy (e.g., lack of a common validation protocol or measurement discrepancies between different devices). For external monitoring, many innovative electronic tools are currently used in rheumatology to help support physician time management, to reduce the burden on clinic time, and to prioritize patients who may need further attention. In inflammatory arthritis, such as rheumatoid arthritis, regular monitoring of patients to detect disease flares improves outcomes. In a pilot study applying machine learning to activity tracker steps, we showed that physical activity was strongly linked to disease flares and that patterns of physical activity could be used to predict flares with great accuracy, with a sensitivity and specificity above 95%. Thus, automatic monitoring of steps may lead to improved disease control through potential early identification of disease flares. However, activity trackers have some limitations when applied to rheumatic patients, such as tracker adherence, lack of clarity on long-term effectiveness, or the potential multiplicity of trackers.

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“…People are discouraged from exercising on a regular basis due to a variety of personal and environmental variables. According to research people that have less desire to engage in physical activity (Valatkaitytė and Česnaitienė, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Motivation is the most important component affecting selfdetermination and encouraging physical activity. Motivation is defined by psychologists as a need or desire that energizes and leads action toward a goal (Valatkaitytė and Česnaitienė, 2019).…”

Section: Introductionmentioning

confidence: 99%

Examination of University Students' Motivations to Participate in Physical Activity

Yoncalık¹

2023

RCD

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The purpose of this study is to examine at the elements that influence Idr University students' motivation to participate in physical exercise. This study enlisted the help of 300 students. The consequences of smoking, living status, and gender on university students' motivation to exercise were explored. The Motivation Scale to Participate in Physical Activity (MSPPA), which Tekkurşun and Cicioglu (2018) adapted into Turkish, was used to assess the learners' motivation to participate in physical activity. As a result, both female and male students in the research appear to be highly motivated to engage in physical exercise. It is recognised that environmental and individual variables influence both groups' engagement in physical exercise favorably. It was shown that students who live with their family and students who do not smoke are more motivated to engage in physical activity.

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Relationship Between Health Literacy, Physical Activity, Motivation and Barriers of People Aged 30–50 Years

Cited by 6 publications

References 27 publications

Determinants and Consequences of Limited Health Literacy in Polish Society

Determinants and Consequences of Limited Health Literacy in Polish Society

Wearable Activity Trackers in the Management of Rheumatic Diseases: Where Are We in 2020?

Examination of University Students' Motivations to Participate in Physical Activity

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