THE SHORT- AND LONG-TERM EFFECTS OF A 24-MONTH HOME-BASED PHYSICAL ACTIVITY PROGRAM ON PHYSICAL ACTIVITY LEVELS AND BODY COMPOSITION OF OLDER ADULTS AT RISK OF ALZHEIMER’S DISEASE: THE AIBL ACTIVE TRIAL

2017 ◽  
Vol 13 (7) ◽  
pp. P895
Author(s):  
Kay L. Cox ◽  
Elizabeth V. Cyarto ◽  
Kathryn A. Ellis ◽  
David Ames ◽  
Patricia Desmond ◽  
...  
2015 ◽  
Vol 95 (2) ◽  
pp. 167-179 ◽  
Author(s):  
Nienke ter Hoeve ◽  
Bionka M.A. Huisstede ◽  
Henk J. Stam ◽  
Ron T. van Domburg ◽  
Madoka Sunamura ◽  
...  

BackgroundOptimal physical activity levels have health benefits for patients with acute coronary syndrome (ACS) and are an important goal of cardiac rehabilitation (CR).PurposeThe purpose of this study was to systematically review literature regarding short-term effects (<6 months after completion of CR) and long-term effects (≥6 months after completion) of standard CR on physical activity levels in patients with ACS.Data SourcesPubMed, EMBASE, CINAHL, and PEDro were systematically searched for relevant randomized clinical trials (RCTs) published from 1990 until 2012.Study SelectionRandomized clinical trials investigating CR for patients with ACS reporting physical activity level were reviewed.Data ExtractionTwo reviewers independently selected articles, extracted data, and assessed methodological quality. Results were summarized with a best evidence synthesis. Results were categorized as: (1) center-based/home-based CR versus no intervention, (2) comparison of different durations of CR, and (3) comparison of 2 types of CR.Data SynthesisA total of 26 RCTs were included. Compared with no intervention, there was, at most, conflicting evidence for center-based CR and moderate evidence for home-based CR for short-term effectiveness. Limited evidence and no evidence were found for long-term maintenance for center-based and home-based CR, respectively. When directly compared with center-based CR, moderate evidence showed that home-based CR has better long-term effects. There was no clear evidence that increasing training volume, extending duration of CR, or adding an extra intervention to CR is more effective.LimitationsBecause of the variety of CR interventions in the included RCTs and the variety of outcome measures in the included RCTs, pooling of data was not possible. Therefore, a best evidence synthesis was used.ConclusionsIt would appear that center-based CR is not sufficient to improve and maintain physical activity habits. Home-based programs might be more successful, but the literature on these programs is limited. More research on finding successful interventions to improve activity habits is needed.


2012 ◽  
Vol 8 (4S_Part_2) ◽  
pp. P82-P83
Author(s):  
Kay Cox ◽  
Leon Flicker ◽  
Osvaldo Almeida ◽  
Kathryn R. Greenop ◽  
Jacqueline Hendricks ◽  
...  

2017 ◽  
Vol 40 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Ing-Mari Dohrn ◽  
Maria Hagströmer ◽  
Mai-Lis Hellénius ◽  
Agneta Ståhle

2005 ◽  
Vol 37 (Supplement) ◽  
pp. S11-S12
Author(s):  
Deborah Riebe ◽  
Carol E. Garber ◽  
Mary L. Greaney ◽  
Christine Ferrone ◽  
Patricia M. Burbank ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1865 ◽  
Author(s):  
Linda A. Gallo ◽  
Tania F. Gallo ◽  
Sophia L. Young ◽  
Karen M. Moritz ◽  
Lisa K. Akison

The coronavirus disease 2019 (COVID-19) pandemic resulted in physical isolation measures in many parts of the world. In Australia, nationwide restrictions included staying at home, unless seeking medical care, providing care, purchasing food, undertaking exercise, or attending work in an essential service. All undergraduate university classes transitioned to online, mostly home-based learning. We, therefore, examined the effect of isolation measures during the early phase of the COVID-19 pandemic in Australia (March/April) on diet (24-h recall) and physical activity (Active Australia Survey) patterns in third-year biomedical students. Findings were compared with students enrolled in the same course in the previous two years. In females, but not males, energy intake was ~20% greater during the pandemic, and snacking frequency and energy density of consumed snacks also increased compared with 2018 and 2019. Physical activity was impacted for both sexes during the pandemic with ~30% fewer students achieving “sufficient” levels of activity, defined by at least 150 min over at least five sessions, compared with the previous two years. In a follow-up study six to eight weeks later (14–18% response rate), during gradual easing of nationwide restrictions albeit continued gym closures and online learning, higher energy intake in females and reduced physical activity levels in both sexes persisted. These data demonstrate the health impacts of isolation measures, with the potential to affect long-term diet and activity behaviours.


2007 ◽  
Vol 44 (5) ◽  
pp. 393-397 ◽  
Author(s):  
Nicola D. Ridgers ◽  
Gareth Stratton ◽  
Stuart J. Fairclough ◽  
Jos W.R. Twisk

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Håkan Nero ◽  
Erika Franzén ◽  
Agneta Ståhle ◽  
Martin Benka Wallén ◽  
Maria Hagströmer

The HiBalance program is a progressive and highly challenging balance training intervention incorporating Parkinson’s disease (PD) specific balance components. The program improves balance and gait and increases the amount of ambulation in short-term, in older adults with PD. Yet, potential short- and long-term effects on habitual physical activity and sedentary behavior are currently unidentified. The aim of this study was to conduct preplanned secondary analyses of short- and long-term effects of the HiBalance program on objectively measured amount and bouts of brisk walking, sedentary behavior, and total physical activity in older adults with PD. Further, our aim was to investigate demographic, intervention-related, disease-related, and function-related factors potentially related to a difference in activity after intervention. A total of 100 older adults with mild-moderate PD were recruited. The intervention group participated in the HiBalance program, and the control received care as usual and was offered the HiBalance program after study termination. Physical activity data were collected using accelerometers at baseline, after intervention and after 6 and 12 months. A multilevel model was utilized to investigate the postintervention and long-term (6 and 12 months) effects on total physical activity, amount and bouts of brisk walking (i.e., moderate intensity physical activity), and sedentary behavior. Between-group difference for the main outcome brisk walking was at postintervention: Δ −10, CI −23.78 to 3.69 min/day (p<0.05); 6 months: Δ −10, CI −23.89 to 3.89 min/day (p<0.05); and 12 months: Δ −4, CI −16.81 to 8.81 min/day (p=0.43). Being part of the intervention group as well as finishing training during spring/summer showed an independent association to increased brisk walking after the intervention period. In conclusion, the HiBalance program increases the physical activity on moderate intensity after intervention and at 6 months but not at 12 months, independently of improved balance. Season seems to influence the effect on the physical activity.


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