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Journal articles on the topic 'Physical activity behaviour'

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Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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1

Zwolinsky, Stephen, Jim McKenna, Andy Pringle, Paul Widdop, Claire Griffiths, Michelle Mellis, Zoe Rutherford, and Peter Collins. "Sedentary Behaviour And Physical Activity." Medicine & Science in Sports & Exercise 48 (May 2016): 779. http://dx.doi.org/10.1249/01.mss.0000487340.47625.cb.

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2

Palatini, Paolo. "Blood Pressure Behaviour During Physical Activity." Sports Medicine 5, no. 6 (June 1988): 353–74. http://dx.doi.org/10.2165/00007256-198805060-00002.

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3

Ashe, Maureen C. "Physical Activity and Workplace Sedentary Behaviour." Physiotherapy Canada 64, no. 1 (January 2012): 1–3. http://dx.doi.org/10.3138/ptc.64.1.ge1.

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4

Rudez, M., and K. Luten. "ActiveSmart physical activity behaviour change program." Journal of Science and Medicine in Sport 18 (December 2014): e66. http://dx.doi.org/10.1016/j.jsams.2014.11.294.

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5

Lynch, M., A. Longo, and W. Hutchinson. "Choice preference and physical activity behaviour." Journal of Epidemiology & Community Health 65, Suppl 2 (September 1, 2011): A36—A37. http://dx.doi.org/10.1136/jech.2011.143586.82.

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Eggermont, Laura H. P., and Erik J. A. Scherder. "Physical activity and behaviour in dementia." Dementia 5, no. 3 (August 2006): 411–28. http://dx.doi.org/10.1177/1471301206067115.

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Pongiglione, Benedetta, Margaret L. Kern, J. D. Carpentieri, H. Andrew Schwartz, Neelaabh Gupta, and Alissa Goodman. "Do children’s expectations about future physical activity predict their physical activity in adulthood?" International Journal of Epidemiology 49, no. 5 (October 1, 2020): 1749–58. http://dx.doi.org/10.1093/ije/dyaa131.

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Abstract Background Much of the population fails to meet recommended physical activity (PA) levels, but there remains considerable individual variation. By understanding drivers of different trajectories, interventions can be better targeted and more effective. One such driver may be a person’s physical activity identity (PAI)—the extent to which a person perceives PA as central to who they are. Methods Using survey information and a unique body of essays written at age 11 from the National Child Development Study (N = 10 500), essays mentioning PA were automatically identified using the machine learning technique support vector classification and PA trajectories were estimated using latent class analysis. Analyses tested the extent to which childhood PAI correlated with activity levels from age 23 through 55 and with trajectories across adulthood. Results 42.2% of males and 33.5% of females mentioned PA in their essays, describing active and/or passive engagement. Active PAI in childhood was correlated with higher levels of activity for men but not women, and was correlated with consistently active PA trajectories for both genders. Passive PAI was not related to PA for either gender. Conclusions This study offers a novel approach for analysing large qualitative datasets to assess identity and behaviours. Findings suggest that at as young as 11 years old, the way a young person conceptualizes activity as part of their identity has a lasting association with behaviour. Still, an active identity may require a supportive sociocultural context to manifest in subsequent behaviour.

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Hagger, Martin, Lorraine Cale, and Len Almond. "Children's Physical Activity Levels and Attitudes Towards Physical Activity." European Physical Education Review 3, no. 2 (October 1997): 144–64. http://dx.doi.org/10.1177/1356336x9700300205.

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This study investigated the relationship between attitude towards physical activity and physical activity behaviour and the influence of gender and season on physical activity level in 45 primary school children, aged 9 to 11 years. Attitudes towards physical activity were assessed using two different theoretical approaches: the children's attitudes towards physical activity (CATPA) inventory and the theory of reasoned action (TRA) questionnaire. Physical activity behaviour was measured using Cale's (1994) self-report measure of physical activity. Approximately 50% of the children were categorised as 'inactive' based on cut-off points developed by Blair (1984). A 2 x 2 (gender x season) factorial analysis of variance showed that children partici pated in more moderate physical activity in the summer than in the winter (F(1,44) = 6.29, p<.05) but there were no gender differences in physical activity levels. Descriptive statistics for the CATPA inventory showed that children generally exhibited positive attitudes towards physical activity. Mann-Whitney U tests for two independent samples revealed significant differences between the high-active and low-active children for the catharsis, health and fitness, vertigo and aesthetic subdomains from the CATPA inventory (p<.05). None of the TRA variables showed any significant differences for activity level. Present results suggest that some attitude variables from the CATPA inventory differ according to children's physical activity levels and thereby emphasise the need for physical educators to foster positive attitudes towards physical activity in order to encourage children to adopt and maintain healthy and active lifestyles.

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ter Hoeve, Nienke, Maria Ekblom, Maria R. Galanti, Yvonne Forsell, and Carla F. J. Nooijen. "Unfavourable sedentary and physical activity behaviour before and after retirement: a population-based cohort study." BMJ Open 10, no. 7 (July 2020): e037659. http://dx.doi.org/10.1136/bmjopen-2020-037659.

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BackgroundDuring transition to retirement there is often a rearrangement of daily life which might provide a key opportunity for interventions to promote a non-sedentary and active lifestyle. To be able to design effective interventions, it is essential to know which sedentary and physical behaviour domains (eg, at home or during leisure time) have potential to facilitate healthy ageing during the retirement transition.ObjectiveTo determine whether unfavourable sedentary and physical activity behaviour before retirement predict unfavourable sedentary and physical activity behaviour after retirement.DesignPopulation-based cohort.Setting and participantsAdults (n=3272) employed in 2010 but retired in 2014.MethodsSelf-reported preretirement job activity, sedentary leisure time, physical activity at home, and walking-cycling and exercise were assessed as predictors for unfavourable sedentary and physical activity behaviours after retirement using logistic regression. Unfavourable behaviours were defined based on the respective median of the cohort distribution. Furthermore, the OR for having multiple unfavourable behaviours after retirement was determined, based on the amount of unfavourable behaviours before retirement. All models were adjusted for gender and education.ResultsUnfavourable preretirement physical activity and sedentary behaviour at home or during leisure time were the strongest predictors of the same behaviours after retirement. Unfavourable job activity did not predict physical activity but did predict unfavourable sedentary behaviour after retirement (OR=1.66, 95% CI 1.41 to 1.96). Unfavourable exercise behaviour before retirement predicted unfavourable sedentary and physical activity after retirement in all domains. With all behaviours being unfavourable before retirement, the OR of having at least three unfavourable behaviours after retirement was 36.7 (95% CI 16.8 to 80.5).ConclusionsAdults with a higher number of unfavourable preretirement physical activity and sedentary behaviours are likely to carry these unfavourable behaviours into retirement age. Interventions should target those with more unfavourable preretirement physical activity and sedentary behaviours before retirement, and those interventions focusing on exercise might have greatest potential.

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Pfeffer, I., E. Hummel, and P. Wagner. "Psychology of physical activity behaviour and health." International Journal of Physical Education 52, no. 2 (2015): 14–24. http://dx.doi.org/10.5771/2747-6073-2015-2-14.

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Hagger, Martin. "The psychology of children’s physical activity behaviour." Health Psychology Update 1, no. 37 (September 1999): 4–8. http://dx.doi.org/10.53841/bpshpu.1999.1.37.4.

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Glozah, Franklin N., and David J. Pevalin. "Perceived social support and parental education as determinants of adolescents’ physical activity and eating behaviour: a cross-sectional survey." International Journal of Adolescent Medicine and Health 27, no. 3 (August 1, 2015): 253–59. http://dx.doi.org/10.1515/ijamh-2014-0019.

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Abstract Purpose: To examine the role of perceived social support and parental education on physical activity and eating behaviour of Ghanaian adolescents. Methods: Seven hundred and seventy Senior High School students (504 boys and 266 girls) between the ages of 14–21 years participated by completing questionnaires on perceived social support, physical activity and eating behaviour. The highest education attained by either parent or guardian was also obtained. Multivariate analysis of covariance was the main statistical test used to analyse the data. Results: The results showed significant gender differences in physical activity and eating behaviour combined, with boys more likely to engage in physical activity than girls, and girls also more likely to engage in healthy eating behaviour than boys, albeit the effect was not statistically significant. While perceived social support had a significant positive effect on eating behaviour and physical activity, parental education had a significant effect only on eating behaviour but not physical activity. Conclusion: Perceived social support from family coupled with parental education provides more opportunities for adolescents to engage in healthy eating behaviour. Also, parents’ educational attainment alone does not necessarily guarantee that adolescents will engage in physical activity; providing the needed social support and conducive home environment is more likely to induce physical activity behaviours. Finally, physical activity and eating behaviour should not be construed as alternative health behaviours as suggested by gender differentials in these health behaviours.

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Ellis, Rebecca, Maria Kosma, Bradley J. Cardinal, Jeremy J. Bauer, and Jeffrey A. McCubbin. "Physical activity beliefs and behaviour of adults with physical disabilities." Disability and Rehabilitation 29, no. 15 (January 2007): 1221–27. http://dx.doi.org/10.1080/09638280600950108.

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Okely, Anthony D., Mark S. Tremblay, John J. Reilly, Catherine E. Draper, and Fiona Bull. "Physical activity, sedentary behaviour, and sleep: movement behaviours in early life." Lancet Child & Adolescent Health 2, no. 4 (April 2018): 233–35. http://dx.doi.org/10.1016/s2352-4642(18)30070-1.

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Pontin, Francesca, Nik Lomax, Graham Clarke, and Michelle A. Morris. "Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach." International Journal of Environmental Research and Public Health 18, no. 21 (October 31, 2021): 11476. http://dx.doi.org/10.3390/ijerph182111476.

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The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved by traditional study designs, have the potential to provide insight into habitual physical activity patterns. This study implements and evaluates the utility of both K-means clustering and agglomerative hierarchical clustering methods in identifying weekly and yearlong physical activity behaviour trends. Characterising the demographics and choice of activity type within the identified clusters of behaviour. Across all seven clusters of seasonal activity behaviour identified, daylight saving was shown to play a key role in influencing behaviour, with increased activity in summer months. Investigation into weekly behaviours identified six clusters with varied roles, of weekday versus weekend, on the likelihood of meeting physical activity guidelines. Preferred type of physical activity likewise varied between clusters, with gender and age strongly associated with cluster membership. Key relationships are identified between weekly clusters and seasonal activity behaviour clusters, demonstrating how short-term behaviours contribute to longer-term activity patterns. Utilising unsupervised machine learning, this study demonstrates how the volume and richness of secondary app data can allow us to move away from aggregate measures of physical activity to better understand temporal variations in habitual physical activity behaviour.

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Tallis, Jason, Darren L. Richardson, and Emma L. J. Eyre. "The Influence of Easing COVID-19 Restrictions on the Physical Activity Intentions and Perceived Barriers to Physical Activity in UK Older Adults." International Journal of Environmental Research and Public Health 19, no. 19 (September 30, 2022): 12521. http://dx.doi.org/10.3390/ijerph191912521.

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COVID-19 has had profound effects on physical activity behaviours of older adults, and understanding this impact is essential to driving public health policies to promote healthy ageing. The present study aimed to determine; (1) intended physical activity behaviours of older adults following the easing of UK COVID-19 restrictions; (2) the relationship between self-reported physical activity and intended physical activity behaviour; (3) perceived barriers to achieving the intended physical activity goal. Ninety-six participants (74.8 ± 4.4 years; 52 female) from a longitudinal study examining the impact of COVID-19 on physical activity were recruited. Participants outlined their future physical activity intentions and completed the COM-B Self Evaluation Questionnaire. Participants were split into groups based on their intention to ‘Maintain’ (n = 29), ‘Increase’ (n = 38) or ‘Return’ (n = 29) to pre-COVID-19 physical activity. Self-reported physical activity undulated over the pandemic but was mostly equivalent between groups. Intended physical activity behaviour was independent of self-report physical activity. Capability and motivation factors were the most frequently cited barriers to the intended physical activity behaviour, with a greater number of capability barriers in the ‘Return’ group. Such barriers should be considered in the COVID-19 recovery public health physical activity strategy for promoting healthy ageing.

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Podnar, Hrvoje, Dario Novak, and Ivan Radman. "Effects of a 5-minute classroom-based physical activity on on-task behaviour and physical activity levels." Kinesiology 50, no. 2 (2018): 251–59. http://dx.doi.org/10.26582/k.50.2.17.

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The objective was to explore the effectiveness of a five-minute classroom-based physical activity (5min-Class-PA) to keep student behaviour on task while increasing PA and energy expenditure during school days. The multiple baselines across subjects’ design was implemented to assess on-task behaviour during academic lessons (e.g., Mathematics, Science, Language, Art). Observers were blinded to study condition. A quasi-experimental design was implemented to assess PA volume and energy expenditure using SenseWear Armband body monitor (BodyMedia Inc., Pittsburgh, PA, USA). A convenience sample of elementary school pupils (aged 6-10 years) was observed. A total of eight class departments or two class departments per grade (first to fourth) were included by random selection. All pupils from the selected class departments were asked to participate (total 149) and 126 (85%) had no health aberrations and returned parent signed informed agreement on participation. Five-minute PA daily was performed in the middle of a 45-min academic lesson by imitating video animations projected on the school board for 12 weeks. The aims were to assess on-task behaviour during academic lessons and physical activity volume and energy expenditure during a school day. When the 5min-Class-PA was implemented, initially high on-task behaviour during the first part of the lesson (91.42% and 94.8% for 6-8- and 8-10-year-olds, respectively) was not significantly changed after the 5min-Class-PA. In contrast, when the 5min-Class-PA was not implemented, on-task behaviour during the second part of the lesson decreased (by 3% and 4% for 6-8- and 8-10-year-olds, respectively). After the 5min-Class-PA was systematically introduced, on-task behaviour systematically improved. The results of the implementation of the classroom-based PA also indicated a small, non-significant increase in PA levels and energy expenditure during the school day, but also a non-significant increase in sedentary time. On-task behaviour during academic lessons and daily in-school PA levels can be improved by implementing a 5min-Class-PA programme.

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McCormack, Gavin R., Patricia K. Doyle-Baker, Jennie A. Petersen, and Dalia Ghoneim. "Perceived anxiety and physical activity behaviour changes during the early stages of COVID-19 restrictions in community-dwelling adults in Canada: a cross-sectional study." BMJ Open 11, no. 8 (August 2021): e050550. http://dx.doi.org/10.1136/bmjopen-2021-050550.

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ObjectivesThe COVID-19 pandemic changed daily routines, including physical activity, which could influence physical and mental health. In our study, we describe physical activity and sedentary behaviour patterns in relation to the pandemic and estimate associations between anxiety and physical activity and sedentary behaviour in community-dwelling adults.DesignCross-sectional study.SettingCalgary, Alberta, Canada.ParticipantsBetween April and June 2020, a random sample of 1124 adults (≥18 years) completed an online questionnaire.Primary and secondary outcomesThe online questionnaire captured current walking, moderate intensity, vigorous intensity and total physical activity and sedentary behaviour (ie, sitting and leisure-based screen time), perceived relative changes in physical activity, sedentary and social behaviours since the pandemic, perceived seriousness and anxiety related to COVID-19, and sociodemographic characteristics. Differences in sociodemographic characteristics, perceived relative change in behaviour and current physical activity and sedentary behaviour were compared between adults with low and high anxiety.ResultsOur sample (n=1047) included more females (60.3%) and fewer older adults (19.2%). Most participants (88.4%) considered COVID-19 as extremely or very serious and one-third (32.9%) felt extremely or very anxious. We found no differences (p>0.05) in current physical activity or sedentary behaviour by anxiety level. The largest perceived change in behaviours included social distancing, driving motor vehicles, use of screen-based devices, watching television and interactions with neighbours. We found anxiety-related differences (p<0.05) in perceived changes in various behaviours.ConclusionsChanges in physical activity, sedentary behaviour and social behaviour occurred soon after the COVID-19 pandemic was declared, and some of these changes differed among those with low and high anxiety.

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Brown, Denver M., Kelly P. Arbour-Nicitopoulos, Kathleen A. Martin Ginis, Amy E. Latimer-Cheung, and Rebecca L. Bassett-Gunter. "Examining the relationship between parent physical activity support behaviour and physical activity among children and youth with autism spectrum disorder." Autism 24, no. 7 (May 31, 2020): 1783–94. http://dx.doi.org/10.1177/1362361320922658.

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Children and youth with autism spectrum disorder engage in less physical activity than neurotypically developing peers. This may be due to factors associated with autism spectrum disorder at the individual and environmental level that can make physical activity participation more challenging. Parent support is a known determinant of physical activity among children and youth; however, limited research has explored the relationship between parent physical activity support behaviour and child physical activity behaviour within the autism spectrum disorder population. Guided by the multi-process action control framework, this study examined the relationship between parent physical activity support behaviour and physical activity levels of children and youth with autism spectrum disorder. Parents ( n = 201) of school-aged children and youth with autism spectrum disorder completed measures of parent physical activity support (intentions, behavioural regulation, support behaviour), as well as their child’s physical activity behaviour. Congruent with the multi-process action control model, intentions to provide physical activity support were significantly associated with parent physical activity support behaviour. Behavioural regulation of physical activity support mediated this relationship, which in turn significantly predicted child physical activity behaviour. Findings suggest parents play an instrumental role in the physical activity behaviour of children and youth with autism spectrum disorder. Family-level interventions targeting parents’ behavioural regulation strategies to provide physical activity support may be an effective strategy to increase physical activity in children and youth with autism spectrum disorder. Lay abstract Children and youth with autism spectrum disorder engage in less physical activity than neurotypically developing peers. This may be due to factors associated with autism spectrum disorder at the individual and environmental level that can make physical activity participation more challenging. Parent support is a known determinant of physical activity among children and youth; however, limited research has explored the relationship between parent physical activity support behaviour and child physical activity behaviour within the autism spectrum disorder population. The purpose of this study was to examine the relationship between parent physical activity support behaviour and physical activity levels of children and youth with autism spectrum disorder. Parents ( n = 201) of school-aged children and youth with autism spectrum disorder completed measures of parent physical activity support (intentions, behavioural regulation, support behaviour), as well as their child’s physical activity behaviour. The results showed that parent’s intentions to provide physical activity support were associated with their support behaviour for their child’s physical activity (e.g. encouragement, being active together). Parents who followed through with their intentions to provide support reported using behavioural regulation strategies such as goal setting and planning more often. Finally, the results showed parent physical activity support behaviour was positively associated with child physical activity behaviour. Findings suggest parents play an instrumental role in the physical activity behaviour of children and youth with autism spectrum disorder. Family-level interventions targeting parents’ behavioural regulation strategies to provide physical activity support may be an effective strategy to increase physical activity in children and youth with autism spectrum disorder.

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Sindelarova, Kristyna. "Physical activity as a factor of health-related behaviour in Czech adults." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 8 (January 2, 2018): 21–31. http://dx.doi.org/10.18844/prosoc.v4i8.2958.

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Physical activity is an important salutoprotective component of health-related behaviour, which delays cardiovascular ageing and prolongs life. The aim of this research is to map the extent of physical activity carried out by adults in the Czech Republic, assess the influence of determinants of physical activity and examine the relationship between physical activity and subjective health complaints. The research sample consisted of 1,263 Czech adult respondents aged 22–93. The volume of physical activity decreases with age. Based on regression analysis, we identified the strongest predictors of physical activity such as age, gender and the personality dimensions of ascendancy and vigour (according to Gordon Personal Profile - Inventory (GPP-I)). Men are more physically active than women, yet 51% of all respondents did not meet the minimum recommended amount of sports physical activity. It was confirmed that the higher extent of physical activity reduces the number of health complaints. Keywords: Physical activity (overall, sports, non-sports), health-promoting behavior, health complaints, age.

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O'Shea, Colin, and Patricia Frazer. "Applying Ajzen’s Theory of Planned Behaviour: Changing Physical Activity Health Behaviour with Activity-Tracking Technology." Studies in Arts and Humanities 4, no. 1 (June 14, 2018): 80–98. http://dx.doi.org/10.18193/sah.v4i1.127.

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De Vivo, Marlize, and Hayley Mills. "Laying the Foundation for Pregnancy Physical Activity Profiling: A Framework for Providing Tailored Physical Activity Advice and Guidance to Pregnant Women." International Journal of Environmental Research and Public Health 18, no. 11 (June 3, 2021): 5996. http://dx.doi.org/10.3390/ijerph18115996.

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The aim of this study was to examine the predictive utility of the theory of planned behaviour (TPB) in explaining pregnant women’s physical activity (PA) intentions and behaviour and to scrutinise the role of past behaviour within this context. Pregnant women (n = 89) completed the pregnancy physical activity questionnaire (PPAQ) and newly developed TPB questionnaire on two separate occasions during their pregnancy. Analyses were carried out in relation to three scenarios. Firstly, when considering the original TPB, intention emerged as the strongest determinant of pregnant women’s PA behaviour. Secondly, controlling for past behaviour attenuated the influence of intention and perceived behavioural control on behaviour, with neither of the original variables providing a unique influence. Finally, the addition of past behaviour added significantly to the prediction of intention with the model as a whole, explaining 85% of the variance in pregnant women’s PA intention, and with past behaviour uniquely contributing 44.8% of the variance. Pregnancy physical activity profiling based on intention and behaviour status is subsequently introduced as a novel and practical framework. This provides healthcare professionals with the opportunity and structure to provide tailored advice and guidance to pregnant women, thereby facilitating engagement with PA throughout motherhood.

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Lewthwaite, Hayley, Tanja W. Effing, Timothy Olds, and Marie T. Williams. "Physical activity, sedentary behaviour and sleep in COPD guidelines: A systematic review." Chronic Respiratory Disease 14, no. 3 (February 24, 2017): 231–44. http://dx.doi.org/10.1177/1479972316687224.

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Objectives: Physical activity, sedentary and sleep behaviours have strong associations with health. This systematic review aimed to identify how clinical practice guidelines (CPGs) for the management of chronic obstructive pulmonary disease (COPD) report specific recommendations and strategies for these movement behaviours. Methods: A systematic search of databases (Medline, Scopus, CiNAHL, EMbase, Clinical Guideline), reference lists and websites identified current versions of CPGs published since 2005. Specific recommendations and strategies concerning physical activity, sedentary behaviour and sleep were extracted verbatim. The proportions of CPGs providing specific recommendations and strategies were reported. Results: From 2370 citations identified, 35 CPGs were eligible for inclusion. Of these, 21 (60%) provided specific recommendations for physical activity, while none provided specific recommendations for sedentary behaviour or sleep. The most commonly suggested strategies to improve movement behaviours were encouragement from a healthcare provider (physical activity n = 20; sedentary behaviour n = 2) and referral for a diagnostic sleep study (sleep n = 4). Conclusion: Since optimal physical activity, sedentary behaviour and sleep durations and patterns are likely to be associated with mitigating the effects of COPD, as well as with general health and well-being, there is a need for further COPD-specific research, consensus and incorporation of recommendations and strategies into CPGs.

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Leunis, Sofie, Marieke Vandecruys, Véronique Cornelissen, Amaryllis H. Van Craenenbroeck, Sabina De Geest, Diethard Monbaliu, and Stefan De Smet. "Physical Activity Behaviour in Solid Organ Transplant Recipients: Proposal of Theory-Driven Physical Activity Interventions." Kidney and Dialysis 2, no. 2 (June 7, 2022): 298–329. http://dx.doi.org/10.3390/kidneydial2020029.

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Physical inactivity is highly prevalent after solid organ transplantation and leads to unfavourable outcomes. This review aimed to understand posttransplant physical activity behaviour and propose physical activity interventions. Michie’s Behavioural Change Wheel was applied, in which the Context and Implementation of Complex Interventions framework, the Capability-Opportunity-Motivation and Behaviour model, and the Theoretical Domains Framework were embedded. Various contextual factors were found to modulate physical activity behaviour. Promising strategies to promote long-term physical activity included (i) tailoring of physical activity programs to patients’ abilities and preferences; (ii) incitement of intrinsic and autonomous motivation to change; (iii) SMART goals setting (e.g., Specific, Measurable, Achievable, Realistic, Timebound), (iv) autonomy-supportive co-design of action plans; (v) foster new habit formation; (vi) self-monitoring of physical activity; (vii) follow-up opportunities for evaluation and adjustment; (viii) education of transplant recipients, healthcare providers, and the patients’ social network; (iv) improvement of self-efficacy through incremental successes, verbal persuasion, peer modelling, and awareness of exercise-related bodily signals; (x) providing physical activity opportunity within patients’ social and environmental setting; (xi) encouragement and support from patients’ social network and healthcare providers; and (xii) governmental action that alleviates financial barriers and restructures the physical environment to promote physical activity. These new insights may contribute to physical activity program development for transplantation recipients.

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Seth, Upasna. "Dietary and physical activity behaviour among urban adolescents." International Journal of Home Science 6, no. 3 (September 1, 2020): 18–22. http://dx.doi.org/10.22271/23957476.2020.v6.i3a.1002.

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Piątkowska, Monika, and Elżbieta Biernat. "Does Physical Activity Protect Adolescents against Risk Behaviour?" New Educational Review 46, no. 4 (December 31, 2016): 72–83. http://dx.doi.org/10.15804/tner.2016.46.4.06.

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Fergus, Paul, Andrew Attwood, Chelsea Dobbins, Gareth Stratton, Abir Hussain, Dhiya Al Jumeily, and Martin Randles. "Monitoring and measuring physical activity and sedentary behaviour." International Journal of Healthcare Technology and Management 13, no. 5/6 (2012): 283. http://dx.doi.org/10.1504/ijhtm.2012.052548.

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Butković, Ana, Tena Vukasović Hlupić, and Denis Bratko. "Physical activity and personality: A behaviour genetic analysis." Psychology of Sport and Exercise 30 (May 2017): 128–34. http://dx.doi.org/10.1016/j.psychsport.2017.02.005.

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Saunders, Travis J., Casey E. Gray, Veronica J. Poitras, Jean-Philippe Chaput, Ian Janssen, Peter T. Katzmarzyk, Timothy Olds, et al. "Combinations of Physical Activity, Sedentary Behaviour and Sleep." Medicine & Science in Sports & Exercise 48 (May 2016): 912. http://dx.doi.org/10.1249/01.mss.0000487732.62636.11.

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van der Ploeg, H., K. Streppel, A. van der Beek, L. van der Woude, M. Vollenbroek-Hutten, W. Van Harten, and W. Van Mechelen. "213 Successfully increasing physical activity behaviour after rehabilitation." Journal of Science and Medicine in Sport 8 (December 2005): 124. http://dx.doi.org/10.1016/s1440-2440(17)30709-0.

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Salmon, J., N. Ridgers, and A. Timperio. "Objective assessment of physical activity and sedentary behaviour." Journal of Science and Medicine in Sport 14 (December 2011): e1-e2. http://dx.doi.org/10.1016/j.jsams.2011.11.005.

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Stockwell, Stephanie, Mike Trott, Mark Tully, Jae Shin, Yvonne Barnett, Laurie Butler, Daragh McDermott, Felipe Schuch, and Lee Smith. "Changes in physical activity and sedentary behaviours from before to during the COVID-19 pandemic lockdown: a systematic review." BMJ Open Sport & Exercise Medicine 7, no. 1 (January 2021): e000960. http://dx.doi.org/10.1136/bmjsem-2020-000960.

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ObjectiveIn March 2020, several countries banned unnecessary outdoor activities during COVID-19, commonly called ‘lockdowns. These lockdowns have the potential to impact associated levels of physical activity and sedentary behaviour. Given the numerous health outcomes associated with physical activity and sedentary behaviour, the aim of this review was to summarise literature that investigated differences in physical activity and sedentary behaviour before vs during the COVID-19 lockdown.Design, data sources and eligibility criteriaElectronic databases were searched from November 2019 to October 2020 using terms and synonyms relating to physical activity, sedentary behaviour and COVID-19. The coprimary outcomes were changes in physical activity and/or sedentary behaviour captured via device-based measures or self-report tools. Risk of bias was measured using the Newcastle-Ottawa Scale.ResultsSixty six articles met the inclusion criteria and were included in the review (total n=86 981). Changes in physical activity were reported in 64 studies, with the majority of studies reporting decreases in physical activity and increases in sedentary behaviours during their respective lockdowns across several populations, including children and patients with a variety of medical conditions.ConclusionGiven the numerous physical and mental benefits of increased physical activity and decreased sedentary behaviour, public health strategies should include the creation and implementation of interventions that promote safe physical activity and reduce sedentary behaviour should other lockdowns occur.

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Kerr, Catherine, Lindsey Smith, Sarah Charman, Stephen Harvey, Louise Savory, Stuart Fairclough, and Andrew Govus. "Physical education contributes to total physical activity levels and predominantly in higher intensity physical activity categories." European Physical Education Review 24, no. 2 (October 4, 2016): 152–64. http://dx.doi.org/10.1177/1356336x16672127.

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Children’s engagement in physical activity of a vigorous intensity or higher is more effective at promoting cardiorespiratory fitness than moderate physical activity. It remains unclear how higher intensity physical activity varies between days when schoolchildren participate in physical education (PE) and non-PE days. The purpose of this study was to assess how PE contributes to sedentary behaviour and the intensity profile of physical activity accumulated on PE days compared to non-PE days. Fifty-three schoolchildren (36 girls, 11.7 ± 0.3 years) completed five-day minute-by-minute habitual physical activity monitoring using triaxial accelerometers to determine time spent sedentary (<1.5 Metabolic Equivalent of Tasks (METs)) and in light (1.5–2.9 METs), moderate (3–5.9 METs), vigorous (6–8.9 METs), hard (9–11.9 METs) and very hard intensity (≥12 METs) physical activity on PE days and non-PE days. Sedentary time was higher on non-PE days than on PE days (mean difference: 62 minutes, p < 0.001). Hard and very hard intensity physical activity was significantly higher on PE days compared with non-PE days (mean total difference: 33 minutes, all significant at p < 0.001). During the PE lesson, boys spent more time in hard ( p < 0.01) and very hard ( p < 0.01) physical activity compared to girls. Schoolchildren spent significantly more time in higher intensity physical activity and significantly less time sedentary on PE days than on non-PE days. As well as reducing sedentary behaviour, the opportunity to promote such health-promoting higher intensity physical activity in the school setting warrants further investigation.

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Mensah, D., O. Oyebode, and R. Aryeetey. "Evidence on physical activity and sedentary behaviour in Ghana: A rapid scoping review." African Journal of Food, Agriculture, Nutrition and Development 22, no. 2 (April 4, 2022): 19583–601. http://dx.doi.org/10.18697/ajfand.107.21805.

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In Ghana, more than four in ten deaths in 2016 resulted from non-communicable diseases (NCDs). Physical inactivity and sedentary behaviours are important risk factors for NCDs. No previous systematic reviews examining physical activity and sedentary behaviour among Ghanaians were identified. Therefore, this rapid scoping review was conducted to find and synthesise what is known about the epidemiology of physical activity and sedentary behaviour of children and adults in Ghana. MEDLINE was searched for eligible studies and a narrative synthesis was conducted based on 17 identified papers as well as the 2008 Demographic and Health Survey report. Little recent high-quality data on prevalence of physical activity or sedentary behaviour in Ghana was found. Existing nationally representative data is now more than ten years old. The data identified suggest that the majority of Ghanaian adults, aged 18+ years, are physically active, achieving or exceeding World Health Organisation (WHO) recommendations (84.3% according to data collected in 2007-2008). Studies reporting sedentary behaviour in adults further suggest that the majority of Ghanaians are minimally sedentary. The most consistent associations with physical activity were by gender (men achieved more than women), employment (the employed, particularly in skilled manual jobs, achieved more than the unemployed), urban or rural residence (rural inhabitants achieved more than urban inhabitants) and socio-economic status (lower physical activity with increasing socio-economic status). Meanwhile, the few existing studies of physical activity in children (all of which investigated children aged 12+ years) suggest that the proportion of children achieving WHO recommendations on physical activity may be lower than for adults. A similar gender trend exists for children as in the adult data, with boys achieving more physical activity than girls. Physical activity is accrued most frequently through active travel, and active occupations, while leisure time physical activity is low. This means that the Ghanaian population may be vulnerable to becoming increasingly inactive as work and travel become more frequently mechanised and sedentary. Key words: Ghana, review, non-communicable disease, Epidemiology, Physical activity, behaviour

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McKillop, A., S. Rosenthal, P. Longmuir, C. Manlhoit, L. Banks, and B. W. McCrindle. "PHYSICAL ACTIVITY AMONG CHILDREN WITH CONGENITAL HEART DISEASE IS ASSOCIATED WITH FAMILY PHYSICAL ACTIVITY BEHAVIOUR." Canadian Journal of Cardiology 30, no. 10 (October 2014): S316. http://dx.doi.org/10.1016/j.cjca.2014.07.568.

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Palma-Leal, Ximena, Palma Chillón, Víctor Segura-Jiménez, Alejandro Pérez-Bey, Alejandro Sánchez-Delgado, and Daniel Camiletti-Moirón. "Commuting to University: Self-Reported and Device-Measured Physical Activity and Sedentary Behaviour." Sustainability 14, no. 22 (November 10, 2022): 14818. http://dx.doi.org/10.3390/su142214818.

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Background: Active commuting could provide an opportunity to counteract unhealthy behaviours, such as insufficient levels of Physical Activity (PA) and sedentary behaviour, which are major health problems in the university population. The aims of this study were to describe and compare self-reported and device-measured in commuting behaviours, PA, and sedentary behaviour in both trips (to and from university) by mode of commuting per weekday, and to identify associations between self-reported and device-measured of commuting behaviours, PA, and sedentary behaviour. Methods: After inclusion criteria, a total of 63 students (65.1% women) from a public university in Cádiz, Spain, participated in this study. Self-reported and device-measured information was used. Results: Commuting time, distance, and speed were lower in active commuters than public and private commuters in both trips (to and from university) (all, p < 0.001). Commuting energy expenditure per min was higher in active commuters than public and private commuters (all, p < 0.001). Active commuters presented significant differences (p < 0.05) with public and private commuters in all PA levels and sedentary behaviour in both trips (to and from university). Conclusions: Active commuting involved the highest levels of energy expenditure per min and could contribute 44% of the weekly PA recommendation for health benefits in university students.

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Alsop, Tahlia, Katrina Williams, and Sjaan Gomersall. "Physical Activity and Sedentary Behaviour in People with Myasthenia Gravis: A Cross-Sectional Study." Journal of Neuromuscular Diseases 9, no. 1 (January 4, 2022): 137–46. http://dx.doi.org/10.3233/jnd-210722.

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Background: Despite improvements in the medical management of myasthenia gravis (MG) in recent years, patients continue to report poor health and wellbeing outcomes such as high levels of fatigue, reduced quality of life (QoL), walking limitation and lowered balance confidence. Physical activity has been shown to be associated with these outcomes in other populations, however, there has been limited research in adults with MG. Objective: To describe physical activity and sedentary behaviour in adults with MG and to explore associations between these behaviours and fatigue, QoL, balance confidence and walking limitation. Methods: A self-report online survey was used to assess physical activity, sedentary behaviour, fatigue, QoL, balance confidence and walking limitation in adults with MG. Multiple linear regression was used to examine associations and descriptive statistics were used to analyse participant characteristics, physical activity, and sedentary behaviour. Results: Eighty-five adults with MG were included (mean age 48±16 years). Over half of participants (n = 53, 62.4%) reported sufficient physical activity to meet public health guidelines. Participants reported an average of 9 h/day of sedentary time (mean 9.0±3.5). Physical activity and fatigue (R2 = 0.196), QoL (R2 = 0.330), walking limitation (R2 = 0.305) and balance confidence (R2 = 0.304) were significantly (p < 0.05) and positively correlated, with no associations found for sedentary behaviour. When patterns of physical activity and sedentary behaviour were combined, lower fatigue (R2 = 0.213), higher QoL (R2 = 0.364), reduced walking limitation (R2 = 0.341) and higher balance confidence (R2 = 0.279) was observed in patients who had greater physical activity levels (> 150 mins/week) and lower sedentary time (< 10 h/day). Conclusions: Higher physical activity and lower sedentary behaviour is associated with favorable health and wellbeing outcomes in adults with MG. Further research is required to ascertain whether these behaviours may be an appropriate target intervention to improve outcomes in this population.

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Kehler, Dustin Scott. "The impact of sedentary and physical activity behaviour on frailty in middle-aged and older adults." Applied Physiology, Nutrition, and Metabolism 43, no. 6 (June 2018): 638. http://dx.doi.org/10.1139/apnm-2018-0092.

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Physical activity and sedentary behaviours are associated with frailty. However, it is unknown if different accumulation patterns of these behaviours are linked with frailty. Four studies were conducted: the first 3 determined if bouts of moderate–vigorous physical activity (MVPA) and patterns of sedentary behaviours were associated with frailty (study 1), and if sex (study 2) and cardiovascular disease (CVD) status (study 3) affected these associations. Study 4 systematically reviewed the evidence to determine if preoperative physical activity and sedentary behaviours were linked to postcardiac surgical outcomes. Studies 1–3 used accelerometer data from the 2003–2004/2005–2006 National Health and Nutrition Examination Survey. Bouted (≥10 min) and sporadic (<10 min) durations of MVPA were analyzed based on meeting a proportion of the physical activity guidelines of 150 min/week. Prolonged sedentary behaviours were measured in bouts lasting ≥30 min. Breaks from sedentary behaviour were any ≥1 min interruption in sedentary time. Average intensity and duration during breaks were analyzed. Frailty was measured with a 46-item frailty index (FI). Study 4 included investigations that linked preoperative physical activity behaviours to postoperative health outcomes. The first 3 studies revealed that sporadic and bouted MVPA were associated with a lower FI. Meeting 1%–49% of the physical activity guidelines had a protective association with frailty. Prolonged sedentary bouts had a more detrimental association with frailty in females than males. Bouted MVPA was associated with a lower FI in CVD participants but not in those without CVD. Average break intensity was associated with a lower FI across studies. Average break duration was associated with frailty in males and in those with CVD. Study 4 included 11 articles, which reported inconsistent findings in relation to self-reported physical activity behaviour and postoperative outcomes in cardiac surgery patients. No studies analyzed sedentary behaviour or frailty. Data from this thesis suggest that bouts of MVPA and patterns of sedentary behaviours are associated with frailty, and support the need to limit extended periods of sedentary time and promote a physically active lifestyle. Studies are needed to determine if preoperative physical activity and sedentary behaviours are associated with postcardiac surgical frailty.

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Diaz, Claudio, Corinne Caillaud, and Kalina Yacef. "Unsupervised Early Detection of Physical Activity Behaviour Changes from Wearable Accelerometer Data." Sensors 22, no. 21 (October 28, 2022): 8255. http://dx.doi.org/10.3390/s22218255.

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Wearable accelerometers record physical activity with high resolution, potentially capturing the rich details of behaviour changes and habits. Detecting these changes as they emerge is valuable information for any strategy that promotes physical activity and teaches healthy behaviours or habits. Indeed, this offers the opportunity to provide timely feedback and to tailor programmes to each participant’s needs, thus helping to promote the adherence to and the effectiveness of the intervention. This article presents and illustrates U-BEHAVED, an unsupervised algorithm that periodically scans step data streamed from activity trackers to detect physical activity behaviour changes to assess whether they may become habitual patterns. Using rolling time windows, current behaviours are compared with recent previous ones, identifying any significant change. If sustained over time, these new behaviours are classified as potentially new habits. We validated this detection algorithm using a physical activity tracker step dataset (N = 12,798) from 79 users. The algorithm detected 80% of behaviour changes of at least 400 steps within the same hour in users with low variability in physical activity, and of 1600 steps in those with high variability. Based on a threshold cadence of approximately 100 steps per minute for standard walking pace, this number of steps would suggest approximately 4 and 16 min of physical activity at moderate-to-vigorous intensity, respectively. The detection rate for new habits was 80% with a minimum threshold of 500 or 1600 steps within the same hour in users with low or high variability, respectively.

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Trotter, Michael G., Tristan J. Coulter, Paul A. Davis, Dylan R. Poulus, and Remco Polman. "The Association between Esports Participation, Health and Physical Activity Behaviour." International Journal of Environmental Research and Public Health 17, no. 19 (October 8, 2020): 7329. http://dx.doi.org/10.3390/ijerph17197329.

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We investigated the association between obesity, self-reported physical activity, cigarette smoking, alcohol consumption, and perceived health in esports players, and the influence of player in-game rank. Data was collected with an online survey with an international participant sample of esports players representing five esports and all skill levels (n = 1772). Esports players were more likely to be categorized as normal weight, or obesity class 2 and 3 and as non-smokers (92%) and non-drinkers (65.1%) compared to international reference data. Esports players met international physical activity guidelines less than global general population. Esports players ranked in the top 10% were more physically active compared to the remaining esports players. As esports player in-game rank increased, so did the amount of time spent playing esports. Although esports players appear generally healthy, a small group was significantly obese and most esports players did not meet physical activity guidelines, indicating potential future health risks.

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Terlikowski, R., Z. Łada, MA Strzyż-Skalij, K. Kryński, M. Osmólska, M. Malinowska-Gleń, EE Kryńska, and KM Terlikowska. "Endometrial cancer and physical activity." Progress in Health Sciences 8, no. 1 (June 18, 2018): 202–6. http://dx.doi.org/10.5604/01.3001.0012.1330.

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Physical activity (PA) is an important modifiable risk factor for endometrial cancer (EC). PA has been studied using diverse measures including metabolic equivalent of task MET, duration, frequency and subjective levels, but for practical reasons most of epidemiological studies use questionnaires rather than objective measures to document PA. Moderate-intense daily PA has a protective effect and have a 20-40% reduced risk of EC. In this rewiev complex and variable behaviour, and the ability of epidemiological studies to determine the relationship between PA and EC has been discussed.

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Cheung, Peggy. "School-based physical activity opportunities in PE lessons and after-school hours: Are they associated with children’s daily physical activity?" European Physical Education Review 25, no. 1 (April 20, 2017): 65–75. http://dx.doi.org/10.1177/1356336x17705274.

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School-based physical activity (PA), including activity during physical education (PE) lessons and after-school hours, is a possible opportunity for increasing children’s daily PA. The purposes of this study were (a) to compare children’s school-based PA levels during PE lessons and after-school hours and (b) to examine whether there is a difference in children’s PA behaviour (moderate-to-vigorous physical activity (MVPA)) and sedentary behaviour on a day which includes school-based PA (i.e. PE class or after-school sports class). The participants were 242 children (mean age = 8.7, SD = 1.6) from five primary schools in Hong Kong. Children’s PA levels were measured using an accelerometer (ActiGraph GT3X) for four school days, and the data were used to derive the duration (min) of MVPA and sedentary behaviour using age-specific criteria. The PA data were grouped according to the school-based PA opportunities, i.e. (a) with a PE lesson (PE day); (b) with an after-school sport class (AFS day); or (c) without school-based PA (N-Act day). The results indicated that the groups differed significantly in daily MVPA [ F (2,108) = 16.62, p < .00] and MVPA during school hours [ F (2,108) = 36.22, p < .00]. There was no significant difference in children’s sedentary behaviour with school-based PA participation. The present study confirmed the contribution of school-based PA opportunities to children’s MVPA in the school day, while sedentary behaviour may not necessarily be reduced.

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Khabibullina, A. R., and T. B. Khayretdinova. "EFFECTS OF PARENTING BEHAVIOURS ON PHYSICAL ACTIVITY OF TODDLERS WITH CONGENITAL HEART DISEASE." Complex Issues of Cardiovascular Diseases 8, no. 3 (September 26, 2019): 36–42. http://dx.doi.org/10.17802/2306-1278-2019-8-3-36-42.

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Aim To evaluate the effects of parenting behaviours on physical activity of toddlers after total repair of septal heart defects.Methods 80 patients who underwent total repair of CHD in the infancy were recruited in the study. The mean age at the interviewing and medical examination was 33.5±4.28 months (boys – 32 (46.0%), girls – 48 (60.0%). The functional status of the cardiovascular system was estimated using the exercise stress testing (10 squats per 20 seconds). Parenting behaviours were evaluated using the Varga-Stolin questionnaire.Results Adverse response to the exercise stress testing prevailed among toddlers with CHD. Recovery time did not exceed 5 minutes in both groups. None complaints in the study and control groups were recorded. Most parents of children with CHD followed authoritarian hypersocialization pattern (p = 0.046) demanding unconditional obedience and discipline as compared to parents of healthy children. More than a third of the families in the study group (38.1%) followed this behavior pattern and only six families in the control group (14.8%). Five families (18%) in the control group followed democratic behavior pattern given independence to their children. Physically inactive toddlers were more commonly found in the families with authoritarian behavior pattern.Conclusion Authoritarian hypersocialization pattern prevailed among parents of toddlers who suffered from septal heart defects. This type of parenting behaviour affected physical activity of toddlers.

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Guijarro-Romero, Santiago, Daniel Mayorga-Vega, Jesús Viciana, Carolina Casado-Robles, Arto Gråstén, and Timo Jaakkola. "Students’ physical activity intensity and sedentary behaviour by physical self-concept profiles: A latent profile analysis. [Intensidad de la actividad física y comportamiento sedentario de los estudiantes por perfiles de autoconcepto físico: Un análisis de perfil latente]." RICYDE. Revista internacional de ciencias del deporte 16, no. 59 (January 1, 2020): 85–101. http://dx.doi.org/10.5232/ricyde2020.05907.

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Adams, Emma J., Mary Goad, Shannon Sahlqvist, Fiona C. Bull, Ashley R. Cooper, and David Ogilvie. "Reliability and Validity of the Transport and Physical Activity Questionnaire (TPAQ) for Assessing Physical Activity Behaviour." PLoS ONE 9, no. 9 (September 12, 2014): e107039. http://dx.doi.org/10.1371/journal.pone.0107039.

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Štefelová, Nikola, Jan Dygrýn, Karel Hron, Aleš Gába, Lukáš Rubín, and Javier Palarea-Albaladejo. "Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data." International Journal of Environmental Research and Public Health 15, no. 10 (October 14, 2018): 2248. http://dx.doi.org/10.3390/ijerph15102248.

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Although there is an increasing awareness of the suitability of using compositional data methodology in public health research, classical methods of statistical analysis have been primarily used so far. The present study aims to illustrate the potential of robust statistics to model movement behaviour using Czech adolescent data. We investigated: (1) the inter-relationship between various physical activity (PA) intensities, extended to model relationships by age; and (2) the associations between adolescents’ PA and sedentary behavior (SB) structure and obesity. These research questions were addressed using three different types of compositional regression analysis—compositional covariates, compositional response, and regression between compositional parts. Robust counterparts of classical regression methods were used to lessen the influence of possible outliers. We outlined the differences in both classical and robust methods of compositional data analysis. There was a pattern in Czech adolescents’ movement/non-movement behavior—extensive SB was related to higher amounts of light-intensity PA, and vigorous PA ratios formed the main source of potential aberrant observations; aging is associated with more SB and vigorous PA at the expense of light-intensity PA and moderate-intensity PA. The robust counterparts indicated that they might provide more stable estimates in the presence of outlying observations. The findings suggested that replacing time spent in SB with vigorous PA may be a powerful tool against adolescents’ obesity.

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van der Ploeg, H. P. "Counselling increases physical activity behaviour nine weeks after rehabilitation." British Journal of Sports Medicine 40, no. 3 (March 1, 2006): 223–29. http://dx.doi.org/10.1136/bjsm.2005.021139.

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Griffiths, Claire, Steven Zwolinsky, Darren Greenwood, Paul Norman, and Jim McKenna. "Associations Between Physical Activity, Sedentary Behaviour And The Environment." Medicine & Science in Sports & Exercise 48 (May 2016): 592–93. http://dx.doi.org/10.1249/01.mss.0000486778.98032.94.

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Procter, Duncan, Claire Nightingale, Alicja Rudnicka, Bina Ram, Anne Ellaway, Ashley Cooper, Angie Page, et al. "Identification of Travel Behaviour from Objective Physical Activity Data." Journal of Transport & Health 5 (June 2017): S39. http://dx.doi.org/10.1016/j.jth.2017.05.326.

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Bright, A., and A. Hamblin. "TravelSmart sunshine coast: Physical activity through travel behaviour change." Journal of Science and Medicine in Sport 12 (January 2010): e26-e27. http://dx.doi.org/10.1016/j.jsams.2009.10.054.

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