490,249 research outputs found

    Isokinetic eccentric exercise substantially improves mobility, muscle strength and size, but not postural sway metrics in older adults dataset

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    This data set depicts the raw data for all variables collected before and after a period of training and detraining

    Physical Activity and Obesity Indicators: National Cross Sectional Study on Lebanese Adults

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    Association between higher levels of physical activity and lower rates of obesity has been shown. The aim is to assess the relation between the prevalence of physical activity and the Physical Activity Index (PAI) of 300 Lebanese healthy adults, with age, gender, occupation, body mass indices and waist circumferences (WC). The cutoff points of WC for both genders were determined using the values of Body Mass Index (BMI). A cross-sectional study using self-reported valid questionnaire was conducted randomly on 150 men and 150 women, between 18 and 74 years, from Beirut region. Association between variables was performed using chi2, T-Test and ANOVA. Linear regression determined the WC cutoffs based on BMI. 22% of the population was obese with WC mean level of 92.47±14.4cm (87.71±14.4 cm for women and 97.24±12.96 cm for men). The prevalence of physical activity was 34% in overall population (27% in women and 40% in men).There was no significant association between BMI values and PAI (p< 0.085 for men and p< 0.300 for women). However there was an inverse association between WC values and PAI in both genders (p<0.043 in men and p< 0.036 in women). Linear regression showed WC cut-off point in Lebanese women with BMI ≥25 kg/m2 and ≥30 kg/m2 of 86 cm and 100 cm respectively, whereas for men it was 92.12 cm and 105 cm respectively. The prevalence of physical activity in Beirut is low with differences among genders. The highest physical activity index is associated with the decreased values of waist circumference

    Evaluating the impact of physical activity apps and wearables: interdisciplinary review

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    Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines

    The Effect of Physical Activity on Lymphocyte Count in Smokers Who Consume Black Cumin Seed (Nigella Sativa L.) Oil

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    Twenty percent of the total number of human leukocytes is lymphocytes. Lymphocytes are responsible for the control of the adaptive immune system. Physical activity is any body movement that requires energy to do it. Physical activity is related to changes in a person's immunity so that it can reduce the risks of diseases such as obesity, hypertension, diabetes, cancer, and stroke. Black Cumin Seed Oil (BCSO) in various studies has been widely used as a supplement, especially as an immune-modulator. The purpose of this study is to see the effect of physical activity on lymphocyte levels in smokers who have been given Black Cumin Seed Oil for 30 days. This study used a single-blind Randomized Controlled Trial (RCT) method, with a total of 36 test subjects divided into four groups. Group 1 received placebo 3x1 capsules/day, group 2 received BCSO 3x1 capsules/day, group 3 received BCSO 3x2 capsules/day, and group 4 received BCSO 3x3 capsules/day. The intervention was carried out for 30 days, then on the 31st-day blood was drawn for analysis. Data analysis using an independent t-test to see the average group with high and low activity, while to see the average lymphocyte between treatment groups using one way ANOVA test. The test results were said to be significant if p <0.05. The p-value of the independent t-test is 0.045, and one way ANOVA test p-value is 0.343. In conclusion, physical activity can increase lymphocyte levels significantly, but not on BCSO administration

    Adolescents’ physical activity profile according to parental physical activity participation

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    This study aimed to characterize adolescents' physical activity according to parental physical activity participation, in families where one or both of the parents were active or inactive. A total of 1037 adolescents aged 12-18 years, 1037 fathers and 1037 mothers participated in the study. Questionnaires were used to assess child and parents physical activity. Cluster analysis was used for data processing. Adolescents from families where both parents were inactive were characterized by physical inactivity. Adolescents of active parents practiced physical activity in several contexts. Adolescents with an active father and an inactive mother were characterized by the practice of unorganized physical activity. Finally, adolescents from active mothers and inactive fathers were characterized by the practice of organized physical activity. Two active parents enhance the potential influence on the child's adoption of physical activity as a spontaneous behaviour in leisure-time. Having one active parent (active role model) is better than two less active or sedentary parents

    Promoting children’s physical activity using adaptive playgrounds

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    This abstract introduces the innovative Playware playground and how it can be utilized for promoting children’s physical activity and thus partly addressing issues related to increasing obesity problems in the western society. Playware allows for the use of intelligent technology to create the kind of leisure activity normally labeled play, i.e. intelligent hardware and software which aims at producing play and playful experiences amongst users. Playware with ambient intelligence characteristics can be personalized, adaptive and anticipatory: it can be integrated into real physical environments (i.e. playgrounds) so that users can freely and interactively utilize it allowing emergence of creative and active plays. Experiments within the Playware playground have demonstrated a significant correlation between the level of children’s perceived entertainment (fun) and the average response time that children interact with the playground. The obtained effect appears to be consistent with theoretical approaches on the interplay between response time and the engagement level within human computer interactive systems. Moreover, preliminary studies on physiological signals of children playing with Playware games have already shown the significant effect of average heart rate (HR) to children’s entertainment. Thus the hypothesis drawn here is that the higher the average response time of children during a game the higher the entertainment value of the game and furthermore the higher their physical activity through their average HR. The Playware playground has been augmented with an intelligent adaptation mechanism, which efficiently recognizes an individual child’s playing behavior and adapts the playground game according to the child’s individual desires. Several experiments have been conducted using adaptation mechanisms designed in order to increase children’s physical activity. It has been shown, that individual play characteristics, such as the total number of interactions with the playground and the average response time of the interactions increase significantly with the use of the adaptation mechanism, providing evidence for the mechanism’s appropriateness to effectively augment the game’s entertainment value and promote children’s physical activity.peer-reviewe

    Physical activity monitoring in Europe : the European physical activity surveillance system (EUPASS) approach and indicator testing.

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    Objectives: The main objective of this paper is to describe the approach and specific findings of the European Physical Activity Surveillance System (EUPASS) research project. In particular, the analysis presented aims at testing the reliability, comparability and predictive power of different sets of physical activity (PA) indicators. Design: First, a panel study based on computer-aided telephone interview (CATI) was designed to report PA data of a representative, selected group of about 100 persons per country at three points in time. Second, a CATI time series survey was carried out with the goal of realising about 100 interviews per month over six consecutive months. Setting: The project was carried out in eight European countries to support the development of the European Union's (EU) Health Monitoring Programme. Subjects: Random population samples (subjects aged 18 years and older) were drawn from each participating country. Results: While many PA indicators used in EU countries to date as well as the psychosocial and environmental measures tested in the present study had acceptable to good reliability coefficients, the test–retest reliability scores of the International Physical Activity Questionnaire (IPAQ) version tested (the short (last 7 days) telephone interview IPAQ; IPAQ-S7T) were rather low. The comparability between extant national PA items and the IPAQ-S7T was low for all countries. The strongest predictors of perceived health were the psychosocial and environmental PA indicators. Conclusions: According to the results of the present study, more research is needed to further investigate and improve the quality of the IPAQ. In addition, the specific predictive power of the tested psychosocial and environmental PA indicators on perceived health should be of particular interest for designing health surveillance activities in the future

    Relationship Of Physical Activity Levels With Genesis Obesity In Faculty Of Medicine University Of Riau Generation 2012 & 2013

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    According to data from the Health Research (Riskesdas) Ministry ofHealth of the Republic of Indonesia in 2013, the prevalence of obese adolescentsaged over 18 years in the province of Riau based on measurements of body massindex (BMI) of 32%. This figure is quite high compared to the average prevalenceof obesity in Indonesia as much as 15.4%. One of the factors that affectnutritional status is physical activity. This research is analytic research with crosssectional design of the students of the Faculty of Medicine, University of RiauGeneration of 2012 and 2013. This study used questionnaires to assess the statusof the IPAQ physical activity and BMI measurements to assess nutritional status.The results from this study is that the study respondents aged 19 years had thegreatest frequency are many 78 peoples (48.1%). Most respondents were femaleas much as 132 people (81,5%). Nutritional status of most respondents is normalthat as many 88 people (54,3%). Respondents who have the nutritional status ofoverweight and obesity as many as 74 people (45,7%). The most respondent havemoderate physical activity are 81 people ( 50 % ), and who have heavy physicalactivity as much are 25 people ( 15,4%) . Based from the chi square test found nosignificant association between physical activity with obesity ( p = 0.524 ) on thestudents of the Faculty of Medicine, University of Riau generation of 2012 and2013

    Walking for wellbeing in the west - maximum versus minimum intervention

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    Walking for Well-being in the West is a multi-disciplinary community based walking intervention. Low active men and women were randomised into two groups: Group 1: maximum intervention (walking programme; pedometer as a motivational aid; series of physical activity consultations); Group 2: waiting list control for 12 weeks followed by a minimal intervention (walking programme; pedometer as a motivational aid). Here we present a comparison between the maximum and minimum interventions over 12 months. Physical activity was measured using 7-day step counts from sealed pedometers. Step count data were analysed on an intention to treat basis. N=79 (49±9 years) were randomly assigned to Group 1 (n=39, 31 women) or Group 2 (n=40, 32 women). RM ANOVA (group by time; Group 1 steps at baseline, 12 wks, 24 wks and 48wks (n=24@48wks); Group 2 steps at baseline, 24 wks, 36 wks and 60wks (n=23@60wks)) showed a significant effect of time on steps/day (F (3,231)=19.60, p<0.001) and no significant difference or interaction between groups (F (1,77)=0.62, p=0.434 and F(3, 231)=1.51, p=0.213 respectively). Paired t tests found a significant increase in steps/day for both groups between baseline and 48/60 weeks (t(38)=-3.33, p=0.002 and t(39)=-3.08, p=0.004 respectively). There was no significant difference between groups of the number of participants who achieved a weekly step increase of ≥15,000 steps at 12 months (Group 1 13/24 (54%); Group 2 9/23 (39%); χ2 = 1.07, p=0.302). Both interventions encouraged low active participants to increase and maintain walking behaviour
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