scholarly journals Physical activity levels in 10- to 11-year-olds: clustering of psychosocial correlates

2005 ◽  
Vol 8 (7) ◽  
pp. 896-903 ◽  
Author(s):  
Greet Cardon ◽  
Renaat Philippaerts ◽  
Johan Lefevre ◽  
Lynn Matton ◽  
Katrien Wijndaele ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Sedentary Behaviour ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Perceived Barriers ◽  
Activity Levels ◽  
Cross Sectional ◽  
Psychosocial Correlates ◽  
Physical Activity Levels

AbstractObjectivesTo evaluate gender differences for levels of physical activity, for sedentary behaviour and for psychosocial correlates in children, to evaluate whether psychosocial correlates cluster in meaningful ways and to examine whether physical activity and sedentary behaviour differ between children of clusters, differentiated by the level of perceived barriers and benefits, attitudes, social support and self-efficacy.DesignCross-sectional study using the Flemish Physical Activity Questionnaire.SettingQuestionnaires to be filled out by the children and one of their parents, contacted through the school system.SubjectsA sample of 1124 10- to 11-year-olds (579 boys and 545 girls).ResultsGirls were found to be less active than boys, with boys scoring better for social support, perceived benefits and self-efficacy compared with girls. The way of clustering differed between boys and girls. Boys were allocated to three clusters: one cluster with positive correlates towards physical activity, labelled ‘positives’; one with negative correlates, labelled ‘negatives’; and one characterised mainly by high perceived barriers, labelled ‘hindered’;. In both genders the highest levels of physical activity were found in the ‘positives’;, the lowest in the ‘negatives’;. In girls a fourth cluster was identified, characterised mainly by low perceived barriers and low social support. Physical activity levels in the girls of this cluster, labelled ‘indifferents’;, were the second highest.ConclusionsMore research is needed to further characterise these clusters. To prevent the physical activity decline during the transition from childhood to adulthood, novel interventions need to be explored that focus on children of the clusters with the most negative correlates.

scholarly journals Environmental and psychosocial correlates of physical activity in Portuguese and Belgian adults

2005 ◽  
Vol 8 (7) ◽  
pp. 886-895 ◽  
Author(s):  
Ilse De Bourdeaudhuij ◽  
Pedro J Teixeira ◽  
Greet Cardon ◽  
Benedicte Deforche
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Cross Sectional Study ◽  
Moderate Intensity ◽  
Activity Levels ◽  
Recreational Physical Activity ◽  
Cross Sectional ◽  
Time Activity ◽  
Psychosocial Correlates ◽  
Validated Questionnaire

AbstractObjectivesTo investigate differences in reported physical activity levels and in perceived environmental and psychosocial correlates of activity between Portuguese and Belgian adults; and to analyse the relative contribution of environmental and psychosocial variables in explaining physical activity within different contexts in Portugal and Belgium.DesignCross-sectional study.SettingOne city in Portugal (Oeiras) and one in Belgium (Ghent).SubjectsIn total 526 participants, 247 from Portugal and 279 from Belgium, completed the long International Physical Activity Questionnaire and a validated questionnaire on environmental and psychosocial correlates.ResultsFor the sum of all activities of at least moderate intensity, a significantly higher mean level of activity was found in Belgian adults (P < 0.001). However, comparable percentages of the Belgian (38%) and Portuguese (42%) samples did not meet the recommendation of 30 min per day. The variance explained by environmental factors was lower (1% to 8%) than by psychosocial factors (maximum 42%). Regression analyses showed activity-specific relations with environmental variables which were analogous in both countries. Walking/cycling for transportation and walking for recreation were related to social support from family and/or friends and to walkability and walking facilities in the neighbourhood. Recreational physical activity was mainly determined by social support, self-efficacy, and perceived benefits and barriers.ConclusionsActivity campaigns addressing psychosocial determinants are needed to encourage leisure-time activity, while a combination of neighbourhood design changes and encouragement of social support in walking is warranted to increase walking in different contexts.

Participants at Norwegian Healthy Life Centres: Who are they, why do they attend and how are they motivated? A cross-sectional study

2018 ◽  
Vol 46 (7) ◽  
pp. 774-781 ◽  
Author(s):  
Gro Beate Samdal ◽  
Eivind Meland ◽  
Geir Egil Eide ◽  
Sveinung Berntsen ◽  
Eirik Abildsnes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Sedentary Behaviour ◽  
Self Efficacy ◽  
Family Income ◽  
Controlled Trial ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Healthy Life

Aims: We examine the characteristics of participants entering Norwegian Healthy Life Centres, their reasons for attending and whether socio-economic status, motivation, self-efficacy and social support relate to physical activity and sedentary behaviour. Methods: This cross-sectional study is part of a randomised controlled trial. Inclusion criteria are that participants should be ≥ 18 years old and able to take part in a physical activity group intervention. Exclusion criteria are severe mental illness and general learning disability. We analysed data using simple and multiple linear regression analyses. Results: We recruited 118 participants from eight Norwegian municipalities between June 2014 and September 2015. Of these, 77% were female, mean (standard deviation) age 48.6 (13.4) years, body mass index 34.0 (5.8) kg/m2 and mean gross family income €61,000. The proportion of participants with upper-secondary school or less as their highest level of education was 55%. The most frequent reasons given for attendance at Healthy Life Centres were being overweight, increasing physical activity, improving diet and having musculoskeletal health challenges. Participants had high levels of autonomous motivation and 79% achieved national recommendations for physical activity. Respect and appreciation in childhood, self-esteem and self-rated health were associated with self-efficacy and social support for physical activity. Conclusions: Participants were predominantly obese, physically active, female and motivated for change. A high proportion had low educational attainment and low incomes. The trial will reveal whether interventions succeed in increasing physical activity further, or in decreasing sedentary behaviour, and whether health inequalities narrow or widen across groups.

scholarly journals Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior

2021 ◽  
Vol 12 ◽  
Author(s):  
Gonzalo Marchant ◽  
Flavia Bonaiuto ◽  
Marino Bonaiuto ◽  
Emma Guillet Descas
Keyword(s):  
Physical Activity ◽  
Self Efficacy ◽  
Cognitive Theory ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Activity Levels ◽  
Sectional Study ◽  
Cross Sectional ◽  
Psychological Constructs ◽  
Physical Activity Levels

ObjectivesThe aims of this research were (1) to compare the levels of physical activity of eHealth users and non-users, (2) to determine the effects of these technologies on motivations, and (3) to establish the relationship that could exist between psychological constructs and physical activity behaviors.MethodsThis cross-sectional study involved 569 adults who responded to an online questionnaire during confinement in France. The questions assessed demographics, usage of eHealth for exercise and physical activity, and behavioral levels. The questionnaire also measured the constructs of Social Cognitive Theory, the Theory of Planned Behavior, and automaticity facets toward eHealth for exercise and physical activity.ResultsParticipants who were users of eHealth for exercise and physical activity presented significantly higher levels of vigorous physical activity and total physical activity per week than non-users (p &lt; 0.001). The chi-square test showed significant interactions between psychological constructs toward eHealth (i.e., self-efficacy, behavioral attitudes, intentions, and automaticity) and physical activity levels (all interactions were p &lt; 0.05). Self-efficacy was significantly and negatively correlated with walking time per week. Concerning the automaticity facets, efficiency was positive and significantly correlated with vigorous physical activity levels per week (p &lt; 0.05). Then, regressions analyses showed that self-efficacy and automaticity efficiency explained 5% of the variance of walking minutes per week (ß = −0.27, p &lt; 0.01) and vigorous physical activity per week (ß = 0.20, p &lt; 0.05), respectively.ConclusionThis study has shown that people during confinement looked for ways to stay active through eHealth. However, we must put any technological solution into perspective. The eHealth offers possibilities to stay active, however its benefits and the psychological mechanisms affected by it remains to be demonstrated: eHealth could be adapted to each person and context.

scholarly journals Influence of perceived barriers and facilitators for physical activity on physical activity levels in patients with rheumatoid arthritis or spondyloarthritis: a cross-sectional study of 150 patients

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Thomas Davergne ◽  
Rawdha Tekaya ◽  
Jérémie Sellam ◽  
Anne Tournadre ◽  
Stéphane Mitrovic ◽  
...  
Keyword(s):  
Physical Activity ◽  
Inflammatory Arthritis ◽  
Cross Sectional Study ◽  
Perceived Barriers ◽  
Barriers And Facilitators ◽  
Activity Levels ◽  
Sectional Study ◽  
Cross Sectional ◽  
Physical Activity Levels ◽  
Steps Per Day

Abstract Background Barriers and facilitators to physical activity in inflammatory arthritis can be assessed through the Inflammatory arthritis FAcilitators and Barriers (IFAB) questionnaire. The objective was to measure the correlation between IFAB and self-reported physical activity levels. Methods This was an international, multicentric, cross-sectional study in 2019–20. Consecutive spondyloarthritis (axSpA), rheumatoid arthritis (RA) or psoriatic arthritis (PsA) patients completed the 10-item IFAB, which ranges from − 70 to 70 with lower scores indicating more barriers. Physical activity was measured by the IPAQ-S questionnaire, steps per day collected by smartphone, and psychological readiness to change by stages of behaviour change. Spearman correlations and multivariable linear regression were calculated. Results Of 245 patients included, 150 were analysed: 69 (46%) axSpA, 63 (42%) RA, 18 (12%) PsA. Mean age was 48.6 years (standard deviation, SD 17.1), mean disease duration 11.7 (10.1) years and 60% were women. Barriers to physical activity were moderate: mean IFAB, 6 (SD 19.2); 39 (26%) patients scored less than − 5, corresponding to significant barriers. The mean physical activity was 2837 (SD 2668, median 1784) MET-minutes per week. The IPAQ-S questionnaire was correlated with the IFAB (rho 0.28, p < 0.001), as well as the stage of behaviour change (rho 0.35, p < 0.001) though not with steps per day. Multivariable analyses were confirmatory. Conclusion Perceived barriers and facilitators to physical activity were correlated with physical activity, indicating that targeting patients with high barriers and low facilitators to physical activity could be an effective option to improve physical activity levels. Trial registration ClinicalTrial NCT04426747. Registered 11 June 2020 - Retrospectively registered.

The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects (Preprint)

2018 ◽  
Author(s):  
Taotao Wang ◽  
Mengyuan Ren ◽  
Ying Shen ◽  
Xiaorou Zhu ◽  
Xing Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
College Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Mobile Apps ◽  
Mediating Effect ◽  
Activity Levels ◽  
Support Level ◽  
Physical Activity Levels

BACKGROUND Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (<italic>P</italic>&lt;.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; <italic>P</italic>&lt;.001) and self-efficacy (beta=.294; <italic>P</italic>&lt;.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (<italic>P</italic>&lt;.001). CONCLUSIONS This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.

Effect of frailty on physical activity levels and walking capacity in patients with peripheral artery disease: A cross-sectional study

2021 ◽  
Author(s):  
Breno Quintella Farah ◽  
Mayara Ferreira Santos ◽  
Gabriel Grizzo Cucato ◽  
Hélcio Kanegusuku ◽  
Luciana Maria Malosá Sampaio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Peripheral Artery Disease ◽  
Cross Sectional Study ◽  
Activity Levels ◽  
Sectional Study ◽  
Peripheral Artery ◽  
Cross Sectional ◽  
Walking Capacity ◽  
Physical Activity Levels ◽  
Artery Disease

scholarly journals Functional capacity of patients with chronic stroke based upon their physical activity levels

2017 ◽  
Vol 18 (4) ◽  
pp. 457
Author(s):  
Janaine Cunha Polese ◽  
Thaianne Servio ◽  
Gabriela Chaves ◽  
Luci Fuscaldi Teixeira-Salmela
Keyword(s):  
Physical Activity ◽  
Functional Capacity ◽  
Cross Sectional Study ◽  
Chronic Stroke ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physical Activity Levels ◽  
Duke Activity Status Index ◽  
Activity Groups ◽  
Post Hoc

Introduction: People with stroke commonly show low levels of physical activity and reduced functional capacity, independent of the severity of the impairments. The use of simple measures that are able to produce transferable information from clinical practice to life in society is crucial within clinic contexts. Objective: To compare the functional capacity of patients with chronic stroke based upon their physical activity levels. Methods: For this cross sectional study, functional capacity and levels of physical activity were assessed by the Duke Activity Status Index (DASI) and the adjusted activity score (AAS) of the Human Activity Profile (HAP), respectively. One-way analysis of variance (ANOVA), followed by LSD post-hoc tests were employed to investigate differences between the physical activity groups regarding their DASI scores. Results: Fifty-one individuals with mean age 58.8 ± 13.5 and a mean time since the onset of stroke of 25.5 ± 13.9 months participated. According to their HAP AAS, 18 individuals were classified as impaired, 28 as moderately active, and five as active. Between-group differences were observed for the DASI scores [F(2,48)=13.72; p < 0.01]. Conclusion: Increases in functional capacity were observed with increases in physical activity levels.Key-words: stroke, motor activity, activities of daily living.

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