Can Physical Activity While Sedentary Produce Health Benefits? A Single-Arm Randomized Trial.
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ABSTRACT:
SUBMITTER: Sackner MA
PROVIDER: S-EPMC7532252 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
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Can Physical Activity While Sedentary Produce Health Benefits? A Single-Arm Randomized Trial.
Sackner Marvin A MA Lopez Jose R JR Banderas Veronica V Adams Jose A JA
Sports medicine - open 20201002 1
<h4>Background</h4>Sedentary time poses a risk to health. Substituting physical activity for inactivity is obvious but this requires a behavior change. Interventions advocated to decrease uninterrupted physical inactivity (defined as Metabolic Equivalent of Task (METS) less than 1.5) are important. One such intervention is accomplished with the Gentle Jogger (GJ), a low risk motorized wellness device which produces effortless, rapid motion of the lower extremities simulating locomotion or fidget ...[more]
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Project description:BACKGROUND:Physical activity (PA) improves many facets of health. Despite this, the majority of American adults are insufficiently active. Adults who visit a physician complaining of chest pain and related cardiovascular symptoms are often referred for further testing. However, when this testing does not reveal an underlying disease or pathology, patients typically receive no additional standard care services. A PA intervention delivered within the clinic setting may be an effective strategy for improving the health of this population at a time when they may be motivated to take preventive action. OBJECTIVE:Our aim was to determine the effectiveness of a tailored, computer-based, interactive personal action planning session to initiate PA among a group of sedentary cardiac patients following exercise treadmill testing (ETT). METHODS:This study was part of a larger 2x2 randomized controlled trial to determine the impact of environmental and social-cognitive intervention approaches on the initiation and maintenance of weekly PA for patients post ETT. Participants who were referred to an ETT center but had a negative-test (ie, stress tests results indicated no apparent cardiac issues) were randomized to one of four treatment arms: (1) increased environmental accessibility to PA resources via the provision of a free voucher to a fitness facility in close proximity to their home or workplace (ENV), (2) a tailored social cognitive intervention (SC) using a "5 As"-based (ask, advise, assess, assist, and arrange) personal action planning tool, (3) combined intervention of both ENV and SC approaches (COMBO), or (4) a matched contact nutrition control (CON). Each intervention was delivered using a computer-based interactive session. A general linear model for repeated measures was conducted with change in PA behavior from baseline to 1-month post interactive computer session as the primary outcome. RESULTS:Sedentary participants (n=452; 34.7% participation rate) without a gym membership (mean age 58.57 years; 59% female, 78% white, 12% black, 11% Hispanic) completed a baseline assessment and an interactive computer session. PA increased across the study sample (F1,441=30.03, P<.001). However, a time by condition interaction (F3,441=8.33, P<.001) followed by post hoc analyses indicated that SC participants exhibited a significant increase in weekly PA participation (mean 45.1, SD 10.2) compared to CON (mean -2.5, SD 10.8, P=.004) and ENV (mean 8.3, SD 8.1, P<.05). Additionally, COMBO participants exhibited a significant increase in weekly PA participation (mean 53.4, SD 8.9) compared to CON (P<.001) and ENV (P=.003) participants. There were no significant differences between ENV and CON or between SC and COMBO. CONCLUSIONS:A brief, computer-based, interactive personal action planning session may be an effective tool to initiate PA within a health care setting, in particular as part of the ETT system. TRIAL REGISTRATION:Clinicaltrials.gov NCT00432133, http://clinicaltrials.gov/ct2/show/NCT00432133 (Archived by WebCite at http://www.webcitation.org/6aa8X3mw1).
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Project description:Background: The importance of daily physical activity is crucial for healthy development during the early years. Currently, a formal written physical activity policy is lacking in Canadian childcare centers, but holds promise for offering consistent physical activity opportunities. With eight recommendations, the Childcare PLAY policy is an evidence-informed, institutional-level document, targeting children's physical activity, outdoor play, and sedentary time. The purpose of this study was to examine the impact of the Childcare Physical Activity (PLAY) policy on the physical activity and sedentary time of young children (18 months-4 years) in childcare. Methods: Nine childcare centers in London, Ontario participated in the cluster, randomized controlled trial. The centers in the control condition (n = 4) continued their typical daily routines, while the centers in the intervention condition (n = 5) implemented the PLAY policy for eight weeks. To assess physical activity levels, toddlers and preschoolers wore ActiGraph wGT3X-BT accelerometers for five consecutive days during childcare hours, at baseline, mid- and post-intervention, and at the six-month follow-up. Raw accelerometry data were converted to 15 s epochs, and age- and device-specific cut-points were applied. The participants with two or more days of at least 5 h/day of wear-time at baseline, and at one additional time point, were included in the linear mixed-effects models. An adjusted alpha (p < 0.017) was used to account for multiple comparison bias. Results: A total of 148 children (31.92 ± 7.41 months) had valid accelerometry data. The intervention resulted in a significant increase in light physical activity among the participants in the experimental group at the six-month follow-up (+1.07 min/h, an 11.16% increase; p = 0.0017). The intervention did not have a statistically significant effect on the total physical activity, moderate-to-vigorous physical activity, or sedentary time. Conclusions: The findings indicate that the Childcare PLAY policy was effective at increasing the toddlers' and preschoolers' light physical activity. This pilot intervention appears promising for supporting some improved movement behaviors among children in childcare settings; however, additional investigations are needed to explore the feasibility and effectiveness with larger and more-diverse samples.
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Project description:Epidemiological evidence suggests that physical activity benefits cognition, but results from randomized trials are limited and mixed.To determine whether a 24-month physical activity program results in better cognitive function, lower risk of mild cognitive impairment (MCI) or dementia, or both, compared with a health education program.A randomized clinical trial, the Lifestyle Interventions and Independence for Elders (LIFE) study, enrolled 1635 community-living participants at 8 US centers from February 2010 until December 2011. Participants were sedentary adults aged 70 to 89 years who were at risk for mobility disability but able to walk 400 m.A structured, moderate-intensity physical activity program (n?=?818) that included walking, resistance training, and flexibility exercises or a health education program (n?=?817) of educational workshops and upper-extremity stretching.Prespecified secondary outcomes of the LIFE study included cognitive function measured by the Digit Symbol Coding (DSC) task subtest of the Wechsler Adult Intelligence Scale (score range: 0-133; higher scores indicate better function) and the revised Hopkins Verbal Learning Test (HVLT-R; 12-item word list recall task) assessed in 1476 participants (90.3%). Tertiary outcomes included global and executive cognitive function and incident MCI or dementia at 24 months.At 24 months, DSC task and HVLT-R scores (adjusted for clinic site, sex, and baseline values) were not different between groups. The mean DSC task scores were 46.26 points for the physical activity group vs 46.28 for the health education group (mean difference, -0.01 points [95% CI, -0.80 to 0.77 points], P?=?.97). The mean HVLT-R delayed recall scores were 7.22 for the physical activity group vs 7.25 for the health education group (mean difference, -0.03 words [95% CI, -0.29 to 0.24 words], P?=?.84). No differences for any other cognitive or composite measures were observed. Participants in the physical activity group who were 80 years or older (n?=?307) and those with poorer baseline physical performance (n?=?328) had better changes in executive function composite scores compared with the health education group (P?=?.01 for interaction for both comparisons). Incident MCI or dementia occurred in 98 participants (13.2%) in the physical activity group and 91 participants (12.1%) in the health education group (odds ratio, 1.08 [95% CI, 0.80 to 1.46]).Among sedentary older adults, a 24-month moderate-intensity physical activity program compared with a health education program did not result in improvements in global or domain-specific cognitive function.clinicaltrials.gov Identifier: NCT01072500.
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Project description:BackgroundOlder cancer survivors are at risk of the development or worsening of both age- and treatment-related morbidity. Sedentary behavior increases the risk of or exacerbates these chronic conditions. Light-intensity physical activity (LPA) is more common in older adults and is associated with better health and well-being. Thus, replacing sedentary time with LPA may provide a more successful strategy to reduce sedentary time and increase physical activity.ObjectiveThis study primarily aims to evaluate the feasibility, acceptability, and preliminary efficacy of a home-based mobile health (mHealth) intervention to interrupt and replace sedentary time with LPA (standing and stepping). The secondary objective of this study is to examine changes in objective measures of physical activity, physical performance, and self-reported quality of life.MethodsOverall, 54 cancer survivors (aged 60-84 years) were randomized in a 1:1:1 allocation to the tech support intervention group, tech support plus health coaching intervention group, or waitlist control group. Intervention participants received a Jawbone UP2 activity monitor for use with their smartphone app for 13 weeks. Tech support and health coaching were provided via 5 telephone calls during the 13-week intervention. Sedentary behavior and physical activity were objectively measured using an activPAL monitor for 7 days before and after the intervention.ResultsParticipants included survivors of breast cancer (21/54, 39%), prostate cancer (16/54, 30%), and a variety of other cancer types; a mean of 4.4 years (SD 1.6) had passed since their cancer diagnosis. Participants, on average, were 70 years old (SD 4.8), 55% (30/54) female, 24% (13/54) Hispanic, and 81% (44/54) overweight or obese. Malfunction of the Jawbone trackers occurred in one-third of the intervention group, resulting in enrollment stopping at 54 rather than the initial goal of 60 participants. Despite these technical issues, the retention in the intervention was high (47/54, 87%). Adherence was high for wearing the tracker (29/29, 100%) and checking the app daily (28/29, 96%) but low for specific aspects related to the sedentary features of the tracker and app (21%-25%). The acceptability of the intervention was moderately high (81%). There were no significant between-group differences in total sedentary time, number of breaks, or number of prolonged sedentary bouts. There were no significant between-group differences in physical activity. The only significant within-group change occurred within the health coaching group, which increased by 1675 daily steps (95% CI 444-2906; P=.009). This increase was caused by moderate-intensity stepping rather than light-intensity stepping (+15.2 minutes per day; 95% CI 4.1-26.2; P=.008).ConclusionsA home-based mHealth program to disrupt and replace sedentary time with stepping was feasible among and acceptable to older cancer survivors. Future studies are needed to evaluate the optimal approach for replacing sedentary behavior with standing and/or physical activity in this population.Trial registrationClinicalTrials.gov NCT03632694; https://clinicaltrials.gov/ct2/show/NCT03632694.
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