Self-initiated changes in physical activity levels improve cardiometabolic profiles: A longitudinal follow-up study

2017 ◽  
Vol 27 (1) ◽  
pp. 48-53 ◽  
Author(s):  
R.M. Ritti-Dias ◽  
G.G. Cucato ◽  
W.L. do Prado ◽  
R.D.O. Conceição ◽  
R.D. Santos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Activity Levels ◽  
Follow Up Study ◽  
Physical Activity Levels

Physical activity levels and hepatic steatosis: A longitudinal follow-up study in adults

2018 ◽  
Vol 33 (3) ◽  
pp. 741-746 ◽  
Author(s):  
Aline Mendes Gerage ◽  
Raphael Mendes Ritti-Dias ◽  
P Babu Balagopal ◽  
Raquel Dilguerian de Oliveira Conceição ◽  
Daniel Umpierre ◽  
...  
Keyword(s):  
Physical Activity ◽  
Hepatic Steatosis ◽  
Activity Levels ◽  
Follow Up Study ◽  
Physical Activity Levels

Long term effects of different physical activity levels on cardiovascular risk: results of a prospective 17-year follow-up study of middle-aged men

2012 ◽  
Vol 28 (3) ◽  
pp. 179-188
Author(s):  
Wojciech Drygas ◽  
Anna Jegier ◽  
Tomasz Kostka ◽  
Elżbieta Dziankowska- Zaborszczyk ◽  
Joanna Kozińska ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiovascular Risk ◽  
Activity Levels ◽  
Long Term Effects ◽  
Middle Aged ◽  
Follow Up Study ◽  
Physical Activity Levels

scholarly journals Evaluation of a voucher scheme to increase child physical activity in participants of a school physical activity trial in the Hunter region of Australia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kathryn Reilly ◽  
Adrian Bauman ◽  
Lindsey Reece ◽  
Christophe Lecathelinais ◽  
Rachel Sutherland ◽  
...  
Keyword(s):  
Physical Activity ◽  
New South ◽  
Team Sports ◽  
Activity Levels ◽  
Organized Sport ◽  
Child Physical Activity ◽  
South Wales ◽  
Physical Activity Levels ◽  
Hunter Region

Abstract Background Global population data suggest that physical activity levels in children remain unacceptably low. Improved participation in organised sport has been recommended by the WHO as one strategy to improve population levels of physical activity. In 2018, in the state of New South Wales, Australia, the government introduced the Active Kids scheme, to help families meet the cost of getting children into organized sport. The aim of this study is to describe the uptake of Active Kids and assess the impact of the scheme on organized sport participation and child physical activity in a region of New South Wales. Methods A pragmatic longitudinal study was undertaken of parents/carers from primary school aged children (5–12 years) in the Hunter region of NSW, Australia. Baseline data were collected between Oct-Dec 2017, with follow-up 12 months later. A telephone survey occurred at both time points, asking questions regarding registration and redemption of an Active Kids voucher for their child, child participation in organised sports and child physical activity levels. Results Of the 974 parents/carers who consented to participate, 511 (52.5%) completed the telephone surveys at both time points. A very large proportion of children (n = 454, 89.0%) were reported by their parents/carers at baseline as meeting the minimum physical activity guideline of 60 min per day. Of participating parents/carers in this study, 407 (96.0%) reported redeeming an Active Kids voucher. Children who redeemed a voucher had three times the odds to participate in organized team sports from baseline to follow-up (p = 0.009). Sub group analyses identified that females who redeemed a voucher had four times the odds to participate in organized team sports (p = 0.012). Conclusions Given the already active nature of this sample, no significant improvements in physical activity levels were noted, but the positive contribution community sport can have on health and wellbeing amongst children is reinforced. Whilst voucher schemes can address financial burdens across all socio-economic groups, more population targeting is needed to deliver voucher schemes to the most disadvantaged and inactive segments of the population in order to increase physical activity.

Determinants of changes in physical activity levels in late adolescence; prospective analysis in urban communities

2020 ◽  
Author(s):  
Natasa Zenic ◽  
Admir Terzic ◽  
Ivan Kvesic
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Sport Participation ◽  
Rank Order ◽  
T Test ◽  
Childhood And Adolescence ◽  
Activity Levels ◽  
Related Factors ◽  
Physical Activity Levels

Purpose: Physical activity levels (PA-levels) significantly decline during adolescence, and sport participation during childhood and adolescence is frequently emphasized as protec-tive factors of PA-decline. However, there is a lack of studies which specifically examined sport-related factors and its influence on changes in PA (PA-changes) in adolescence. This study aimed to prospectively observe sport factors as: (i) correlates of PA-levels and (ii) pre-dictors of PA-changes in the period between 16 and 18 years of age among urban adoles-cents from Bosnia and Herzegovina. Methods: The sample of participants comprised 324 adolescents (44% females) who were prospectively observed over two testing waves: (i) baseline, when participants were 16 years old; and (ii) follow-up, 20 months later (18 years of age). The variables were collected by previously validated questionnaires including questions on predictors (sociodemographic variables and various sport factors [current/former/ever participation in individual and team sports, experience in sports, competitive result achieved]), and criteria (PA level obtained at study baseline and follow up, measured by Physical Activity Questionnaire for Adolescents [PAQ-A], and difference between PA-levels at baseline and follow-up). The t-test was used to compare PA-levels. The associations between variables were evidenced by: (i) Spear-man’s rank order correlations (between predictors and PA-levels), and (ii) logistic regression analysis (between predictors, and PA-changes observed as binomial criterion [PA-incline vs. PA-decline] – excluding those participants who reported active sport participation at study baseline). Results: The PA-level significantly declined over the study course (t-test: 6.60, p < 0.01). Sport-related predictors were significantly associated with PA at baseline (Spearman’s R: 0.33–0.45, p < 0.01), and PAat follow-up (Spearman’s R: 0.32-0.45, p < 0.01). Meanwhile, there was no significant correlation between studied predictors and differences in PA-levels between baseline and follow-up. Also, logistic regression did not reveal any significant influ-ence of predictors obtained at study baseline and PA-changes observed as binomial criterion (PA-incline vs PA-decline). Conclusion: While studied sport-related predictors significantly influence the PA-levels in the age of 16 and 18, with the higher level of PA among those adolescents who are actively in-volved in sports, sport-participation do not predict changes in PA-levels over the observed period of life. Knowing the influence of PAon overall health status, future studies should pro-vide additional details on possible predictors of PA-changes in adolescence.

scholarly journals Effect of Statewide Lockdown in Response to COVID-19 Pandemic on Physical Activity Levels of Hemodialysis Patients

2021 ◽  
pp. 1-8
Author(s):  
Maggie Han ◽  
Priscila Preciado ◽  
Ohnmar Thwin ◽  
Xia Tao ◽  
Leticia M. Tapia-Silva ◽  
...  
Keyword(s):  
Physical Activity ◽  
New York ◽  
New York City ◽  
New York State ◽  
Hemodialysis Patients ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
National Emergency ◽  
The Impact

<b><i>Background/Objectives:</i></b> On March 22, 2020, a statewide stay-at-home order for nonessential tasks was implemented in New York State. We aimed to determine the impact of the lockdown on physical activity levels (PAL) in hemodialysis patients. <b><i>Methods:</i></b> Starting in May 2018, we are conducting an observational study with a 1-year follow-up on PAL in patients from 4 hemodialysis clinics in New York City. Patients active in the study as of March 22, 2020, were included. PAL was defined by steps taken per day measured by a wrist-based monitoring device (Fitbit Charge 2). Average steps/day were calculated for January 1 to February 13, 2020, and then weekly from February 14 to June 30. <b><i>Results:</i></b> 42 patients were included. Their mean age was 55 years, 79% were males, and 69% were African Americans. Between January 1 and February 13, 2020, patients took on average 5,963 (95% CI 4,909–7,017) steps/day. In the week prior to the mandated lockdown, when a national emergency was declared, and in the week of the shutdown, the average number of daily steps had decreased by 868 steps/day (95% CI 213–1,722) and 1,222 steps/day (95% CI 668–2300), respectively. Six patients were diagnosed with COVID-19 during the study period. Five of them exhibited significantly higher PAL in the 2 weeks prior to showing COVID-19 symptoms compared to COVID-19 negative patients. <b><i>Conclusion:</i></b> Lockdown measures were associated with a significant decrease in PAL in hemodialysis patients. Patients who contracted COVID-19 had higher PAL during the incubation period. Methods to increase PAL while allowing for social distancing should be explored and implemented.

scholarly journals Barriers and Opportunities for Using Wearable Devices to Increase Physical Activity Among Veterans: Pilot Study (Preprint)

2018 ◽  
Author(s):  
Rebecca H Kim ◽  
Mitesh S Patel
Keyword(s):  
Physical Activity ◽  
Technology Use ◽  
Wearable Devices ◽  
Wearable Device ◽  
Activity Levels ◽  
Potential Barriers ◽  
Telephone Interviews ◽  
Physical Activity Levels ◽  
Barriers And Opportunities

BACKGROUND Few studies have examined the use of wearable devices among the veteran population. OBJECTIVE The objective of this study was to evaluate veterans’ perceptions of and experiences with wearable devices and identify the potential barriers and opportunities to using such devices to increase physical activity levels in this population. METHODS Veterans able to ambulate with or without assistance completed surveys about their mobile technology use and physical activity levels. They were then given the option of using a wearable device to monitor their activity levels. Follow-up telephone interviews were conducted after 2 months. RESULTS A total of 16 veterans were enrolled in this study, and all of them agreed to take home and use the wearable device to monitor their activity levels. At follow-up, 91% (10/11) veterans were still using the device daily. Veterans identified both opportunities and barriers for incorporating these devices into interventions to increase physical activity. CONCLUSIONS Veterans engaged in using wearable devices at high rates.

scholarly journals Physical activity levels after treatment for breast cancer: Two-year follow-up

The Breast ◽  
2018 ◽  
Vol 40 ◽  
pp. 23-28 ◽  
Author(s):  
An De Groef ◽  
Inge Geraerts ◽  
Heleen Demeyer ◽  
Elien Van der Gucht ◽  
Lore Dams ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Activity Levels ◽  
Physical Activity Levels
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