scholarly journals Devices for Self-Monitoring Sedentary Time or Physical Activity: A Scoping Review

2016 ◽  
Vol 18 (5) ◽  
pp. e90 ◽  
Author(s):  
James P Sanders ◽  
Adam Loveday ◽  
Natalie Pearson ◽  
Charlotte Edwardson ◽  
Thomas Yates ◽  
...  
Keyword(s):  
Physical Activity ◽  
Scoping Review ◽  
Sedentary Time ◽  
Self Monitoring

Chronic Disease Self-Management Among Iranian Older Adults: A Scoping Review

2019 ◽  
Vol 39 (8) ◽  
pp. 922-930 ◽  
Author(s):  
Aein Zarrin ◽  
Nima Tourchian ◽  
George A. Heckman
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Chronic Disease ◽  
Scoping Review ◽  
Self Management ◽  
Cochrane Library ◽  
Self Monitoring ◽  
Care Models ◽  
Language Objectives ◽  
Main Components

Background: Implementing care models that emphasize chronic disease self-management (CDSM) strategies may be an effective approach to the growing prevalence of chronic conditions in Iran. We, therefore, conducted a scoping review on CDSM among older Iranians to identify existing gaps and opportunities to improve chronic disease care. Method: We conducted a search in CINAHL, EMBASE, MEDLINE/PubMed, and Cochrane library. Selected articles were charted based on year of publication, language, objectives, methods, target chronic disease(s), sample demographics, self-management type, and key findings. Results: We selected 73 articles. The main components of CDSM addressed were social support, education, physical activity, nutrition, self-monitoring, spirituality, and financial support. Older Iranians reported low levels of physical activity. Conclusion: Enhancing the quality of CDSM research and provision of coaching to enhance older adults’ social and mental health are among the main strategies to enhance CDSM among the Iranian older population.

scholarly journals Patterns of Sedentary Behavior among Older Adults in Care Facilities: A Scoping Review

2021 ◽  
Vol 18 (5) ◽  
pp. 2710
Author(s):  
Kin-Chung Wilson Leung ◽  
Kim-Wai Raymond Sum ◽  
Yi-Jian Yang
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Scoping Review ◽  
Sedentary Time ◽  
Care Facility ◽  
Sedentary Activity ◽  
Levels Of Care ◽  
Care Facilities ◽  
High Level

Understanding the sedentary patterns can guide the design of strategies to engage older adults in physical activity. This scoping review aimed to synthesize available evidence on sedentary behaviors in care facilities. We searched PubMed/MEDLINE and Web of Science for studies published from inception through October 2020. Eighteen studies were included and reviewed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Data obtained were analyzed based on levels of care provided. Overall, daily sedentary time was higher among residents in high level care facilities (e.g., nursing homes) (11.6 h/day) than intermediate/mixed level care facilities (e.g., assisted living) (9.5 h/day). In intermediate/mixed level care facilities, television (TV) viewing was the most common sedentary activity (2.5–2.9 h/day; 26% of daily sedentary time), while napping was the most favorite sedentary activity (4.7 h/day; 36% of waking hours) in high level care facilities. Sex differences in daily patterns of sedentary behavior (sedentary time, uninterrupted bouts, and bout durations) were commonly observed in intermediate/mixed level care facilities, as exemplified by men being more sedentary by 0.7–1.1 h/day. In summary, this study highlights distinctive sedentary patterns among older adults residing in different levels of care facilities, addressing a pressing need for customized interventions to engage care facility residents in physical activity.

Usage of Mobile Apps to support Active Transportation: Scoping Review (Preprint)

2021 ◽  
Author(s):  
Nuttanun Siriaporn ◽  
Audrey de Nazelle ◽  
Gilles Maignant ◽  
Pascal Staccini ◽  
Anne Vuillemin
Keyword(s):  
Physical Activity ◽  
Active Transport ◽  
Scoping Review ◽  
Mobile Apps ◽  
The United States ◽  
Active Transportation ◽  
World Health ◽  
Self Monitoring ◽  
Academic Literature ◽  
Android Apps

BACKGROUND The World Health Organization recommends 150-300 minutes of physical activity per week to lower health risks caused by sedentary behavior. Incorporating active transport (AT), non-motorized methods of transportation like walking and cycling, into daily life is an efficient way for individuals to reach recommended levels of physical activity. Active transportation can also improve the environment by reducing pollution emission when people make a switch from personal motorized vehicles. Smartphones have been explored as a tool to deliver health interventions through mobile apps, especially in the field of behavior change in weight loss and physical activity. OBJECTIVE This study sought to explore the extent of the usage of mobile apps in the field of active transport, both academically and commercially. We want to know if and how much mobile apps are being used in active transport research, as well as its availability commercially. This will allow us to realize the current trends and gaps of the field. METHODS A search on academic literature and commercial apps for any apps that support active transportation was done in five academic databases and the two app stores. For a wide check, commercial apps were searched in six countries, one in each continent. Two of the authors reviewed the articles and apps for inclusion and another made the final decision if conflict arose. RESULTS In academic literature, 24 apps were identified that were developed or used for AT promotion or AT research. Out of these 24 apps, 8 are still available for download. Through the commercial search, we found 34 apps on the Apple App Store and 107 on the Google Play Store, available in Australia, Brazil, France, South Africa, Thailand, and the United States. Most of the apps were bike shares, then research apps, campaign apps, and then resource apps. From this, we discovered that for iOS apps, there are 4 apps that integrated self-monitoring features, 5 apps that use gamification to encourage engagement in AT and 1 app that used incentives and rewards as a motivator. For android apps, we found 7 apps that have self-monitoring features, 8 apps that use gamification features, and 4 campaign apps that use incentives and rewards to encourage AT engagement. CONCLUSIONS With this scoping review, we found that mobile apps are being explored as a method to collect data for transportation research and as an intervention to promote AT. However, results of the interventions varied, indicating the need for further study for a successful promotion. The apps that were developed academically were rarely maintained. Furthermore, there are not enough commercially available evidence-based and science-backed mobile apps that support and encourage AT behavior.

Sleep Apps for Youth: A Scoping Review of What is Available and What is Needed (Preprint)

2019 ◽  
Author(s):  
Kristin HG Maich ◽  
Rana Abu-Jazar ◽  
Rachael Burnett ◽  
Carly Cosgrove ◽  
William Maich ◽  
...  
Keyword(s):  
Scoping Review ◽  
Empirical Support ◽  
Second Phase ◽  
Eligibility Criteria ◽  
Unique Problem ◽  
Self Monitoring ◽  
Primary Function ◽  
Primary Investigator ◽  
Insomnia Symptoms ◽  
Sleep Difficulties

BACKGROUND Sleep difficulties are prevalent and concerning for many North Americans. Despite strong empirical support for insomnia treatment, lack of access presents a significant barrier to treatment dissemination. This is particularly true amongst teens and young adults. Mobile applications (‘apps’) are uniquely suited to address this need. OBJECTIVE We conducted a scoping review to identify and appraise commercially available apps for AYAs with sleep difficulties. METHODS Proceeding in 3 phases, a comprehensive search of commercially available apps was conducted between August 2016 and January 2017. The initial phase involved a search of app stores using relevant search terms (sleep; sleeping; insomnia; sleep aid; night). In the second phase, apps were assessed for eligibility using the following inclusion criteria: 1) Goal is to provide education, tools, or advice related to management of insomnia symptoms. 2) Primary intended users are AYAs. Exclusion criteria were: 1) App is classified as an ‘e-book.’ 2) Primary utility is meditation, hypnosis, or relaxation for sleep. 3) Primary function is background sleep music or sounds. 4) Primary function is alarm clock. 5) Sole sleep aid function is tracking/monitoring, with no education, tools, or advice for insomnia. In the third phase, apps were culled for functionality information, including: A) Self-monitoring of symptoms; B) Tracking sleep; C) Education related to insomnia; D) Advice or intervention for managing insomnia symptoms. Finally, the primary investigator conducted a final review of phase 3 apps, closely examining the functionality of these apps, based on app descriptions, app content, and developer website (where available). RESULTS The initial search yielded 2036 apps; after eligibility criteria were applied, functionality information was extracted for 48 apps. Twenty-three of these were later excluded. Of the final 25 apps, 24% included self-monitoring of symptoms; 28% included a sleep tracking function; 56% provided insomnia education; and 92% provided advice or intervention for managing sleep difficulties. The majority (80%) were free. Several (20%) provided sleep interventions that are not supported by research. In the final evaluation, only 6 apps met all four of the functionality criteria; of these, none were geared towards AYA users specifically. The purported and examined functionality of these six apps are discussed. CONCLUSIONS Insomnia is a unique problem among AYAs, as non-insomnia factors must also be considered when designing an appropriate intervention (e.g., AYAs are more delayed in sleep schedule, require more sleep than adults). There are currently 6 apps that are appropriate for self-management of adult insomnia. There are 0 apps designed for AYA users. Development of an evidence-based app for managing insomnia in this population is critical. Once an appropriate app becomes available, future studies should test its usability and efficacy in AYA samples.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

Enrolling Caregivers in Obesity Interventions to Improve Obesity-Related Outcomes in Children

2021 ◽  
pp. 019394592110370
Author(s):  
Hannah Bessette ◽  
MinKyoung Song ◽  
Karen S. Lyons ◽  
Sydnee Stoyles ◽  
Christopher S. Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Weight Loss ◽  
Linear Regression ◽  
Body Mass ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Weight Loss Program ◽  
Weight Loss Programs ◽  
Obesity Interventions

In this study, we assessed the influences of change in moderate-to-vigorous physical activity (MVPA)/sedentary time (ST) of caregivers participating in a commercial weight-loss program on their children’s change in MVPA/ST. Data from 29 caregivers and their children were collected over 8 weeks. We used multivariable linear regression to assess associations of changes in caregiver’s percent of time spent in MVPA/ST and changes in their child’s percent of time spent in MVPA/ST. For caregivers that decreased body mass index (BMI) over 8 weeks, changes in caregivers’ MVPA was strongly associated with the change in children’s MVPA (β = 2.61 [95% CI: 0.45, 4.77]) compared to caregivers who maintained/increased BMI (β = 0.24 [–2.16, 2.64]). Changes in caregivers’ ST was strongly associated with changes in children’s ST (β = 2.42 [1.02, 3.81]) compared to caregivers who maintained/increased BMI (β = 0.35 [–0.45, 1.14]). Findings reinforce encouraging caregivers to enroll in weight-loss programs for the benefit of their children as well as for themselves.

scholarly journals The Acceptability, Feasibility and Effectiveness of Wearable Activity Trackers for Increasing Physical Activity in Children and Adolescents: A Systematic Review

2021 ◽  
Vol 18 (12) ◽  
pp. 6211
Author(s):  
Amy V. Creaser ◽  
Stacy A. Clemes ◽  
Silvia Costa ◽  
Jennifer Hall ◽  
Nicola D. Ridgers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Children And Adolescents ◽  
Behaviour Change Techniques ◽  
Physically Active ◽  
Self Monitoring ◽  
Start Date ◽  
Activity Trackers ◽  
Wearable Activity Trackers

Wearable activity trackers (wearables) embed numerous behaviour change techniques (BCTs) that have previously been shown to increase adult physical activity (PA). With few children and adolescents achieving PA guidelines, it is crucial to explore ways to increase their PA. This systematic review examined the acceptability, feasibility, and effectiveness of wearables and their potential mechanisms of action for increasing PA in 5 to 19-year-olds. A systematic search of six databases was conducted, including data from the start date of each database to December 2019 (PROSPERO registration: CRD42020164506). Thirty-three studies were included. Most studies (70%) included only adolescents (10 to 19 years). There was some—but largely mixed—evidence that wearables increase steps and moderate-to-vigorous-intensity PA and reduce sedentary behaviour. There were no apparent differences in effectiveness based on the number of BCTs used and between studies using a wearable alone or as part of a multi-component intervention. Qualitative findings suggested wearables increased motivation to be physically active via self-monitoring, goal setting, feedback, and competition. However, children and adolescents reported technical difficulties and a novelty effect when using wearables, which may impact wearables’ long-term use. More rigorous and long-term studies investigating the acceptability, feasibility, and effectiveness of wearables in 5 to 19-year-olds are warranted.

scholarly journals Physical Activity Behavior from a Transdisciplinary Biopsychosocial Perspective: a Scoping Review

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jannika M. John ◽  
Vanessa Haug ◽  
Ansgar Thiel
Keyword(s):  
Physical Activity ◽  
Scoping Review ◽  
Social Factors ◽  
Biopsychosocial Model ◽  
Scientific Work ◽  
Physical Activity Behavior ◽  
Biopsychosocial Approach ◽  
Scoping Reviews ◽  
Activity Behavior ◽  
Biopsychosocial Perspective

Abstract Background Physical activity behavior is a complex and multidimensional phenomenon. For its analysis, transdisciplinary biopsychosocial approaches yield great potential. In health research, the biopsychosocial model has experienced a renaissance. Researchers have tried to grasp the complex interplay of biological, psychological, and social factors. With this scoping review, we aimed to examine how the ‘biopsychosocial’ has been conceptualized in scientific work related to physical activity behavior. Methods The scoping review was informed by the PRISMA guidelines for scoping reviews (PRISMA-ScR). A systematic literature search was conducted in Web of Science, SportDiscus, PsycArticles, PsycInfo, and PubMed. Only articles published in peer-reviewed journals that contained all three components of a biopsychosocial approach (e.g., bio/physio/genetic, psycho/mental, and socio/cultural/environmental) were included. We only included articles in our narrative synthesis that integrated physical activity behavior into a biopsychosocial model, or investigated or described physical activity behavior on the basis of such a model. Results Thirteen studies met the inclusion criteria; eight articles pursued a biopsychosocial approach in the tradition of Engel, five employed a socio-ecological approach. The models in the analyzed articles referred to either correlates of physical activity behavior, or the influence of physical activity on health or aging. Only a minority of the articles, however, referred to interactions between biological, psychological, and social factors. Conclusions The included articles were quite heterogeneous in their approach to physical activity from a biopsychosocial perspective. The included articles illustrate that the adoption of a biopsychosocial perspective may assist to capture and understand the complex phenomenon of physical activity behavior and might inform future transdisciplinary physical activity research.

Bi-directional prospective associations between sedentary time, physical activity and adiposity in 10-year old Norwegian children

2021 ◽  
pp. 1-8
Author(s):  
Turid Skrede ◽  
Eivind Aadland ◽  
Sigmund Alfred Anderssen ◽  
Geir Kåre Resaland ◽  
Ulf Ekelund
Keyword(s):  
Physical Activity ◽  
Sedentary Time
Sign in / Sign up

Export Citation Format

Share Document