scholarly journals The Use of Small Electronic Devices and Health: Feasibility of Interventions for a Forthcoming Crossover Design

10.2196/20410 ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. e20410
Author(s):  
Lisbeth Hoekjaer Larsen ◽  
Maja Hedegaard Lauritzen ◽  
Sirin Wilhelmsen Gangstad ◽  
Troels Wesenberg Kjaer
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Aerobic Capacity ◽  
Technology Use ◽  
Large Scale ◽  
Media Use ◽  
Electronic Devices ◽  
Activity Group ◽  
Tracking Device ◽  
Physical Activity Group

Background Modern lifestyle is heavily affected by technology such as smartphones, tablets, and other small computers; yet it remains unclear how our health and well-being are affected by the heavy use of these devices. Objective This feasibility study aims to test two different interventions of an experimental protocol for a forthcoming large-scale community-based study and get estimates of parameters for sample size calculation. The aim of the large-scale study is to investigate the effect of (1) a wearable tracking device on aerobic capacity (VO2max/kg) and the effect of (2) restricting media use on total sleep time. Methods Twenty healthy participants were included and equipped with a wrist-worn device tracking physical activity and sleep. Participants were allocated to either a physical activity group, which was instructed to use the wrist-worn device to support exercise, or a sleep silent group, which was instructed to remove or switch off all electronic devices in the bedroom (except the wrist-worn tracking device). The intervention lasted approximately 4 weeks. Data collected included blood pressure, submaximal cycle ergometer test, self-reported technology use, and compliance of using the wearable tracking device. Results All participants wore the wearable tracking device 95.8% (SD 4.4%) of the time. Participants in the physical activity group increased aerobic capacity from 30.38 (SD 8.98) to 32.1 (SD 8.71) mL/kg/min (t=–2.31, P=.046) and decreased their systolic blood pressure from 126.5 (SD 15.8) mm Hg to 121.8 (SD 11.7) mm Hg (t=2.72, P=.02). The sleep silent group prolonged their time offline before bedtime from 18.1 (SD 19.4) minutes to 27.2 (SD 17.3) minutes (t=–2.94, P=.02). Conclusions The two interventions are feasible to conduct. Participants were willing to wear the tracking device on their wrist and restrict all media use in their bedroom and thereby reduce bedtime technology use. Our results also suggest that tracking physical activity using a wearable device is accompanied by noteworthy health benefits. We outline necessary adjustments for a forthcoming large-scale study.

scholarly journals The Use of Small Electronic Devices and Health: Feasibility of Interventions for a Forthcoming Crossover Design (Preprint)

2020 ◽  
Author(s):  
Lisbeth Hoekjaer Larsen ◽  
Maja Hedegaard Lauritzen ◽  
Sirin Wilhelmsen Gangstad ◽  
Troels Wesenberg Kjaer
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Aerobic Capacity ◽  
Technology Use ◽  
Large Scale ◽  
Media Use ◽  
Electronic Devices ◽  
Activity Group ◽  
Tracking Device ◽  
Physical Activity Group

BACKGROUND Modern lifestyle is heavily affected by technology such as smartphones, tablets, and other small computers; yet it remains unclear how our health and well-being are affected by the heavy use of these devices. OBJECTIVE This feasibility study aims to test two different interventions of an experimental protocol for a forthcoming large-scale community-based study and get estimates of parameters for sample size calculation. The aim of the large-scale study is to investigate the effect of (1) a wearable tracking device on aerobic capacity (VO<sub>2</sub>max/kg) and the effect of (2) restricting media use on total sleep time. METHODS Twenty healthy participants were included and equipped with a wrist-worn device tracking physical activity and sleep. Participants were allocated to either a physical activity group, which was instructed to use the wrist-worn device to support exercise, or a sleep silent group, which was instructed to remove or switch off all electronic devices in the bedroom (except the wrist-worn tracking device). The intervention lasted approximately 4 weeks. Data collected included blood pressure, submaximal cycle ergometer test, self-reported technology use, and compliance of using the wearable tracking device. RESULTS All participants wore the wearable tracking device 95.8% (SD 4.4%) of the time. Participants in the physical activity group increased aerobic capacity from 30.38 (SD 8.98) to 32.1 (SD 8.71) mL/kg/min (<i>t</i>=–2.31, <i>P</i>=.046) and decreased their systolic blood pressure from 126.5 (SD 15.8) mm Hg to 121.8 (SD 11.7) mm Hg (<i>t</i>=2.72, <i>P</i>=.02). The sleep silent group prolonged their time offline before bedtime from 18.1 (SD 19.4) minutes to 27.2 (SD 17.3) minutes (<i>t</i>=–2.94, <i>P</i>=.02). CONCLUSIONS The two interventions are feasible to conduct. Participants were willing to wear the tracking device on their wrist and restrict all media use in their bedroom and thereby reduce bedtime technology use. Our results also suggest that tracking physical activity using a wearable device is accompanied by noteworthy health benefits. We outline necessary adjustments for a forthcoming large-scale study.

scholarly journals The role of physical activity on cardiovascular risk factors in adolescents

2010 ◽  
Vol 50 (4) ◽  
pp. 220
Author(s):  
Nadia Dwi Insani ◽  
Sukman Tulus Putra ◽  
Agus Firmansyah
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
High Activity ◽  
Blood Lipid ◽  
Waist To Hip Ratio ◽  
Activity Group

Background Cardiovascular diseases remain the leading cause of death worldwide. Atherosclerotic process increases rapidly during adolescence. Physical activity is considered important in this period to modify cardiovascular risk factors, thus preventing disease in the future.Objective To determine whether different physical activity status in adolescence can influence body mass index (BMBMI), waist-to-hip ratio, blood pressure (BP), and blood lipid profile.Methods This was a cross-sectional descriptive study, conducted from December 2009 to January 2010. Adolescents who fulfilled the study criteria were classified into high and low physical activity category. Further examination including body mass index, waist-to-hip ratio, blood pressure, and blood lipid profile were performed.Results Adolescents with high physical activity had higher, but statistically insignificant, BMBMI compared to adolescents in the P=0.493] and significantly lower waist-to-hip ratio [0.80 (range 0.73-0.9) vs.. 0.82 (range 0.7-0.9), P=0.019]. Difference in BP was not statistically significant between both groups [diastolic BP (70 (range 60-90) mmHg vs. 70 (range 60-90) mmHg, P=0.148; systolic BP 100 (range 90-130) mmHg vs. 100 (range 90-140) mmHg, P=0.228)]. Blood lipid examination in the high activity group showed significantly higher HDL cholesterol and lower triglyceride compared to the low activity group [HDL 59.8 (SD 11.8) mg/dL vs. 54.7 (SD 8.9) mg/dL; p=0.044; triglyceride: 60 (range 32-203) mmHg vs. 82 (range 37-198) mmHg, P=0.014]. Total and LDL cholesterol [total cholesterol 169.8 (SD 28.6) mmHg vs. 181.2 (SD 30.8) mmHg, P=0.107; LDL 103.6 (SD 26.8) mmHg vs. 114.1 (SD 27.3) mmHg, P=0.100] were lower in the high activity group but not statistically different in both groups.Conclusions Adolescents with high physical activity show less cardiovascular risk factors compared to those in the low physical activity group.

Developing an Interactive Physical Activity Group in a Geriatric Psychiatry Facility

2001 ◽  
Vol 26 (1) ◽  
pp. 57-69 ◽  
Author(s):  
Diane C. Holliman ◽  
Ute C. Orgassa ◽  
Jennie Pillion Forney
Keyword(s):  
Physical Activity ◽  
Geriatric Psychiatry ◽  
Activity Group ◽  
Physical Activity Group

Physical Activity Group Environment Questionnaire--Modified

2015 ◽  
Author(s):  
Betty T. Izumi ◽  
Amy J. Schulz ◽  
Graciela Mentz ◽  
Barbara A. Israel ◽  
Sharon L. Sand ◽  
...  
Keyword(s):  
Physical Activity ◽  
Activity Group ◽  
Group Environment ◽  
Group Environment Questionnaire ◽  
Physical Activity Group

scholarly journals Acute Effects of a Short Bout of Physical Activity on Cognitive Function in Sport Students

2020 ◽  
Vol 17 (10) ◽  
pp. 3678
Author(s):  
Martin Niedermeier ◽  
Elisabeth M. Weiss ◽  
Lisa Steidl-Müller ◽  
Martin Burtscher ◽  
Martin Kopp
Keyword(s):  
Physical Activity ◽  
Visual Attention ◽  
Control Group ◽  
Affective States ◽  
Sedentary Control ◽  
Post Intervention ◽  
Physically Active ◽  
Activity Group ◽  
Physical Activity Group ◽  
Active Sport

Physical activity is a promising intervention to restore cognitive function after prolonged sedentary periods. However, little is known about the effect of short physical activity bouts on cognition especially among individuals that are used to physical activity. Therefore, the goal of the present study was to assess the impact of a single ten-minute physical activity bout on the cognitive domain of visual attention compared to sedentary behavior in a population of physically active sport students. Using a randomized controlled design, 51 healthy and physically active sport students [mean age: 22.3 (SD: 2.0) years, 33.3% female] were allocated to one of the following interventions in the break of a two-hour study course: physical activity group (running for ten minutes) and sedentary control group. Visual attention was measured post-intervention using a modified trail making test. Pre-, post-, and 30 min after intervention, perceived attention, and affective states were measured. Between-group comparisons were used to analyze whether visual attention and/or changes in perceived attention or affective states differed between groups. The physical activity group showed significantly higher visual attention post-intervention compared with the sedentary control group, p = 0.003, d = 0.89. Perceived attention, p = 0.006, d = 0.87, and arousal, p < 0.001, d = 1.68, showed a significantly larger pre- and post-intervention increase in the physical activity group compared with the sedentary control group, which was not evident 30 min after intervention. A single ten-minute running intervention in study breaks might help to restore the basal visual attentional domain of cognition after prolonged sedentary periods more effectively compared with common sedentary behavior in breaks between study lessons.

The Relationship between Peak Oxygen Uptake and Physical Activity in 6- to 8-Year-Old Children

1989 ◽  
Vol 1 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Juliane R. Fenster ◽  
Patty S. Freedson ◽  
Richard A. Washburn ◽  
R. Curtis Ellison
Keyword(s):  
Physical Activity ◽  
Aerobic Capacity ◽  
Large Scale ◽  
Work Capacity ◽  
Peak Oxygen Uptake ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Activity Levels ◽  
Activity Method ◽  
The Relationship

The relationship between physical activity measured using the LSI (Large Scale Integrated Activity Monitor), and questionnaire, with physical work capacity 170 (PWC 170) and aerobic capacity (peak V̇O2) was evaluated in 6- to 8-year-old children (n = 18). The mean (± SD) peak V̇O2 was 44.1 ± 5.6 ml • kg−1 • min−1. Peak V̇O2 was not significantly different for children (n = 8) who had completed two treadmill trials (45.4 vs. 43.5 ml • kg−1 • min−1; R = 0.67, p<0.05). The log LSI expressed as counts per hour (M ± SD = 2.1 ±.22 cts/hr) was the only activity method significantly related to peak V̇O2 (r = 0.59, p<0.05). The correlation between peak V̇O2 with the questionnaire was positive but nonsignificant (r = 0.20). PWC 170 was not related to peak V̇O2 (r = 0.21) or the activity variables (r = 0.12 questionnaire; r = 0.18 log LSI). When the group was divided into high and low peak V̇O2 groups (high: M = 48.8 ml • kg−1 • min−1; low: M = 39.5 ml • kg−1 • min−1), the log LSI was able to distinguish significant differences in activity levels (high: 2.23 ±. 19 cts/hr; low: 1.99±.19 cts/hr). This study suggests that activity measured with the LSI and aerobic capacity are related in this sample of 6- to 8-year-old children.

scholarly journals Association between physical-activity trajectories and cognitive decline in adults 50 years of age or older

2021 ◽  
Vol 30 ◽  
Author(s):  
Boris Cheval ◽  
Zsófia Csajbók ◽  
Tomáš Formánek ◽  
Stefan Sieber ◽  
Matthieu P. Boisgontier ◽  
...  
Keyword(s):  
Physical Activity ◽  
Verbal Fluency ◽  
Cognitive Measures ◽  
Delayed Recall ◽  
High Physical Activity ◽  
Activity Group ◽  
Immediate Recall ◽  
Growth Mixture ◽  
Growth Mixture Modelling ◽  
Physical Activity Group

Abstract Aims To investigate the associations of physical-activity trajectories with the level of cognitive performance (CP) and its decline in adults 50 years of age or older. Methods We studied 38 729 individuals (63 ± 9 years; 57% women) enrolled in the Survey of Health, Ageing and Retirement in Europe (SHARE). Physical activity was self-reported and CP was assessed based on immediate recall, verbal fluency and delayed recall. Physical-activity trajectories were estimated using growth mixture modelling and linear mixed-effects models were used to investigate the associations between the trajectories and CP. Results The models identified two trajectories of physical activity: constantly high physical activity (N = 27 634: 71%) and decreasing physical activity (N = 11 095; 29%). Results showed that participants in the decreasing physical-activity group exhibited a lower level of CP compared to the high physical-activity group (immediate recall: ß = 0.94; 95% confidence interval [CI] = 0.92–0.95; verbal fluency: ß = 0.98; 95% CI = 0.97–0.98; delayed recall: ß = 0.95; 95% CI = 0.94–0.97). Moreover, compared with participants in the constantly high physical-activity group, participants in the decreasing physical-activity group showed a steeper decline in all cognitive measures (immediate recall: ß = −0.04; 95% CI = −0.05 to −0.04; verbal fluency: ß = −0.22; 95% CI = −0.24 to −0.21; delayed recall: ß = −0.04; 95% CI = −0.05 to −0.04). Conclusions Physical-activity trajectories are associated with the level and evolution of CP in adults over 50 years. Specifically, our findings suggest that a decline in physical activity over multiple years is associated with a lower level and a steeper decline in CP.

scholarly journals Long-term high physical activity modulates event-related potential indices of inhibitory control in postmenopausal women

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6523
Author(s):  
Chang Xu ◽  
Yingzhi Lu ◽  
Biye Wang ◽  
Chenglin Zhou
Keyword(s):  
Physical Activity ◽  
Alzheimer Disease ◽  
Postmenopausal Women ◽  
Inhibitory Control ◽  
High Intensity ◽  
Control Group ◽  
High Physical Activity ◽  
Activity Group ◽  
Physical Activity Group

Background Inhibition processing is sensitive to aging, and an age-related decline in inhibition processing has been associated with an accelerated rate of progression to Alzheimer disease. Elderly women are two to three times more likely than age-matched men to have Alzheimer disease. Therefore, this study examined whether long-term high physical activity affects inhibitory processing, specifically among postmenopausal women. Methods In total, 251 candidates were screened using the Montreal Cognitive Assessment and the Raven’s Standard Progressive Matrices to assess their cognitive abilities and the International Physical Activity Questionnaire (Chinese version) to assess their physical activity levels. The participants were then grouped into either a long-term high physical activity group (defined as more than 3 days of high intensity activity per week and gross metabolic equivalent minutes (MET-minutes) higher than 1,500 MET-minutes/week or a gross MET higher than 3,000 MET-minutes/week obtained through walking or other moderate or high intensity activity) or a control group and matched for demographic and health characteristics as well as cognitive scores. Event-related potentials (ERPs) were recorded as participants performed a Go/No-go task to assess inhibition processing. Results The long-term high physical activity group (n = 30) had faster Go reaction times than the control group (n = 30), whereas no significant difference between the two groups was found in their performance accuracy on the No-go task. For the ERP results, the latency of N2 component was significantly shorter in the long-term high physical activity group than that in the control group. Discussion The results of this study suggested that long-term high physical activity may increase the efficiency of the inhibitory control system by increasing the activity of response monitoring processes.

Increased Activity in Patients with Cardiovascular Risk Factors Increases Heart Rate Variability

2019 ◽  
Vol 42 (6) ◽  
pp. 431-436
Author(s):  
Natsuki Nakayama ◽  
Masahiko Miyachi ◽  
Koji Tamakoshi ◽  
Koji Negi ◽  
Koji Watanabe ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Onset ◽  
Sleep Cycle ◽  
Activity Monitors ◽  
Activity Group ◽  
Increased Activity ◽  
Physical Activity Group

This study evaluated the effect of increased physical activity on high-frequency (HF) heart rate variability (HRV) during the first hour after sleep onset in patients with hypertension and/or stable angina pectoris. Physical activity and HF were measured using activity monitors and 24-hour Holter monitors at baseline and 6 months later. The physical activity increased in 28 patients (increase group) and decreased in 20 patients (decrease group) after 6 months. In this study, after 6 months, compared to the decreased physical activity group, the increased physical activity group showed a significant increase in the HF index during the first hour after sleep onset. Therefore, the increase in the HF index may have been due to the increase in physical activity. An increase in physical activity suggests that the quality of sleep early in the sleep cycle may be improved, which may affect the patient’s prognosis.

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