1
|
Ho MH, Peng CY, Liao Y, Yen HY. Efficacy of a Wearable Activity Tracker With Step-by-Step Goal-Setting on Older Adults' Physical Activity and Sarcopenia Indicators: Clustered Trial. J Med Internet Res 2024; 26:e60183. [PMID: 39486024 DOI: 10.2196/60183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 09/10/2024] [Accepted: 10/12/2024] [Indexed: 11/03/2024] Open
Abstract
BACKGROUND Smart wearable technology has potential benefits for promoting physical activity and preventing sarcopenia. OBJECTIVE The purpose of this study was to explore the efficacy of a wearable activity tracker with 2-stage goal-setting for daily steps on older adults' physical activity and sarcopenia indicators. METHODS The study used a clustered trial design and was conducted in March to June 2022. Participants were community-dwelling adults older than 60 years who were recruited from 4 community centers in Taipei City. The intervention was designed with 2-stage goals set to 5000 steps/day in the first 4 weeks and 7500 steps/day in the final 4 weeks while wearing a commercial wearable activity tracker. Data were collected by self-reported questionnaires, a body composition analyzer, a handle grip tester, and 5 sit-to-stand tests. RESULTS All 27 participants in the experimental group and 31 participants in the control group completed the 8-week intervention. Total and light-intensity physical activities, skeletal muscle index, and muscle strength increased, while sedentary time, BMI, and the waist circumference of participants decreased in the experimental group, with significant group-by-time interactions compared to the control group. CONCLUSIONS A wearable activity tracker with gradual goal-setting is an efficient approach to improve older adults' physical activity and sarcopenia indicators. Smart wearable products with behavioral change techniques are recommended to prevent sarcopenia in older adult populations.
Collapse
Affiliation(s)
- Mu-Hsing Ho
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, China (Hong Kong)
| | - Chi-Yuan Peng
- School of Gerontology and Long-term Care, College of Nursing, Taipei Medical University, Taipei City, Taiwan
| | - Yung Liao
- Graduate Institute of Sport, Leisure, and Hospitality Management, National Taiwan Normal University, Taipei, Taiwan
| | - Hsin-Yen Yen
- School of Gerontology and Long-term Care, College of Nursing, Taipei Medical University, Taipei City, Taiwan
| |
Collapse
|
2
|
Tomasone JR, Kauffeldt KD, Morgan TL, Magor KW, Latimer-Cheung AE, Faulkner G, Ross-White A, Poitras V, Kho ME, Ross R. Dissemination and implementation of national physical activity, sedentary behaviour, and/or sleep guidelines among community-dwelling adults aged 18 years and older: a systematic scoping review and suggestions for future reporting and research. Appl Physiol Nutr Metab 2021; 45:S258-S283. [PMID: 33054340 DOI: 10.1139/apnm-2020-0251] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Strategies for dissemination (purposive distribution of a guideline to specific audiences) and implementation (actions to support the general public in meeting guideline recommendations/behavioural benchmarks) of national movement guidelines (physical activity (PA), sedentary behaviour, and sleep) have yet to be synthesized. The purpose of this systematic scoping review was to identify strategies for dissemination and implementation of national PA, sedentary behaviour, and/or sleep guidelines among community-dwelling adults (aged >18 years) and/or stakeholders in Canada and analogous countries. Five search approaches (e.g., published literature, grey literature, targeted web-based, custom Google, and content expert consultation) identified records (e.g., empirical studies, organizational reports, website pages, or guideline messages) that discussed and/or evaluated dissemination or implementation strategies for a prespecified list of guidelines. A modified strategy classification system was developed to chart the data. Forty-seven reports met inclusion criteria. Dissemination strategies (n = 42) were more frequently reported than implementation strategies (n = 24). Implementation strategies were more frequently evaluated (n = 13 vs. 7 dissemination strategies) and associated with positive outcomes. The 13 studies that evaluated strategies were at high or serious risk of bias. We identified limited information about the dissemination and implementation of national movement guidelines and identified strategies were rarely evaluated. Greater efforts are required to increase the impact of guidelines among the general public and stakeholders and to build the evidence base in this field. (Open Science Framework registration: https://osf.io/4tyw3.) Novelty An adapted movement guideline dissemination and implementation strategy classification framework is provided. Knowledge translation efforts should be documented and evaluated to advance science and practice in the movement guideline field.
Collapse
Affiliation(s)
- J R Tomasone
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - K D Kauffeldt
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - T L Morgan
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - K W Magor
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - A E Latimer-Cheung
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - G Faulkner
- School of Kinesiology, University of British Columbia, Vancouver, BC V6T 1Z1, Canada
| | - A Ross-White
- Queen's University Bracken Health Sciences Library, Queen's University, Kingston, ON K7L 2V5, Canada
| | - V Poitras
- Independent Researcher, Ottawa, ON, Canada
| | - M E Kho
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON L8S 1C7, Canada
| | - R Ross
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| |
Collapse
|
3
|
Remote Monitoring Model for the Preoperative Prehabilitation Program of Patients Requiring Abdominal Surgery. FUTURE INTERNET 2021. [DOI: 10.3390/fi13050104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Physical fitness and level of activity are considered important factors for patients with cancer undergoing major abdominal surgery. Cancer patients with low fitness capacity are at greater risk of postoperative complications, longer hospital stays, and mortality. One of the main challenges facing both healthcare providers and patients is to improve the patient’s physical fitness within the available short period (four to six weeks) prior to surgery. Supervised and unsupervised physical prehabilitation programs are the most common recommended methods for enhancing postoperative outcomes in patients undergoing abdominal surgery. Due to obstacles such as geographical isolation, many patients have limited access to medical centers and facilities that provide onsite prehabilitation programs. This article presents a review of the literature and the development of a model that can remotely monitor physical activities during the prehabilitation period. The mixed prehabilitation model includes the identification of fundamental parameters of physical activities (type, intensity, frequency, and duration) over time. A mathematical model has been developed to offer a solution for both the healthcare provider and patients. This offers the opportunity for physicians or physiotherapists to monitor patients performing their prescribed physical exercises in real time. The model that has been developed is embedded within the internet of things (IoT) system, which calculates the daily and weekly efforts made by the patients and automatically stores this in a comma-separated values (CSV) file that medical staff can access. In addition, this model allows the patient to compensate for missed prescribed activity by adding additional efforts to meet the prehabilitation requirements. As a result, healthcare staff are provided with feedback on patient engagement in prescribed exercise during the period of the prehabilitation program.
Collapse
|
4
|
Larsen RT, Christensen J, Juhl CB, Andersen HB, Langberg H. Physical activity monitors to enhance amount of physical activity in older adults - a systematic review and meta-analysis. Eur Rev Aging Phys Act 2019; 16:7. [PMID: 31073341 PMCID: PMC6500067 DOI: 10.1186/s11556-019-0213-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 04/08/2019] [Indexed: 12/25/2022] Open
Abstract
Background The body of evidence related to the effect of physical activity monitor-based interventions has grown over the recent years. However, the effect of physical activity monitor-based interventions in older adults remains unclear and should be systematically reviewed. Objective The objective of this systematic review was to estimate the effect of physical activity monitor-based interventions on physical activity behavior in participants aged 65 and above. Subsequently we explored the effect on body mass index, physical capacity, and health-related quality of life and finally the impact of patient- and intervention characteristics. Methods Searches in MEDLINE, EMBASE, SPORTDiscus, CINAHL, and CENTRAL were performed on April 26, 2018. No publication date filters were applied. References of eligible studies were scrutinized and relevant journals were hand-searched. Randomized controlled trials and randomized cross-over trials investigating the effect of a physical activity monitor-based intervention on physical activity were included. Studies were included if the mean age of the participants was above 65 years, and participants could walk independently with or without walking aids. The Cochrane handbook was used as a template for extracting data and the RoB 2.0 tool was used to assess risk of bias. Random-effects meta-analysis using Hedges g, were used to pool the study results. The main outcome of this study was physical activity. Results Twenty-one studies with 2783 participants were included. The median participant age in the studies was 70.5 years, the median percentage of male participants was 42%, and the median baseline daily step count was 5268. Physical activity monitor-based interventions had a moderate effect (SMD = 0.54, 95% CI: 0.34 to 0.73) compared to control interventions, corresponding to an average increase of 1297 steps per day in the intervention groups. No impact of patient and intervention characteristics on the effect estimates were found. Short conclusion Low quality of evidence was found for a moderate effect of physical activity monitor-based interventions on physical activity compared with control interventions. More studies with higher research methodology standards are required. PROSPERO registration CRD42018083648. Electronic supplementary material The online version of this article (10.1186/s11556-019-0213-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Rasmus Tolstrup Larsen
- 1CopenRehab, Department of Public Health, Section of Social Medicine, University of Copenhagen, Gothersgade 160, 3rd floor, 1123 Copenhagen K, Denmark
| | - Jan Christensen
- 2Department of Occupational- and Physiotherapy, Copenhagen University Hospital, Copenhagen, Denmark.,6National Centre for Rehabilitation and Palliative Care, University of Southern Denmark and Odense University Hospital, Odense, Denmark
| | - Carsten Bogh Juhl
- 4Research Unit of Musculoskeletal Function and Physiotherapy, Institute of Sports Science and Clinical Biomechanics, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.,5Department of Physiotherapy and Occupational Therapy, Copenhagen University Hospital, Herlev and Gentofte, Denmark
| | - Henning Boje Andersen
- 3Technical University of Denmark, DTU Management Engineering Institute, Diplomvej 372 office 226, 2800 Lyngby, Denmark
| | - Henning Langberg
- 1CopenRehab, Department of Public Health, Section of Social Medicine, University of Copenhagen, Gothersgade 160, 3rd floor, 1123 Copenhagen K, Denmark
| |
Collapse
|
5
|
O'Brien MW, Kivell MJ, Wojcik WR, D'Entremont GR, Kimmerly DS, Fowles JR. Influence of Anthropometrics on Step-Rate Thresholds for Moderate and Vigorous Physical Activity in Older Adults: Scientific Modeling Study. JMIR Aging 2018; 1:e12363. [PMID: 31518246 PMCID: PMC6715008 DOI: 10.2196/12363] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 11/15/2018] [Accepted: 11/15/2018] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Adults and older adults are recommended to engage in 150 minutes of moderate (MPA) to vigorous (VPA) aerobic physical activity (MVPA) per week, with the heuristic message of 3000 steps in 30 minutes (100 steps per minute [spm]). However, this message is based on adult populations, with a paucity of research on step-rate thresholds that correspond to absolute MVPA (moderate=3 metabolic equivalents [METs], vigorous=6 METs) and relative MVPA (moderate=40% estimated METmax, vigorous=60% estimated METmax) in older persons, who have lower stride lengths and a lower exercise capacity. Also, there is a need to consider the influence of anthropometric differences when quantifying the relationship between step rate and intensity-related physical activity. OBJECTIVE This study assessed absolute and relative MVPA step-rate thresholds and anthropometric factors (ie, height, leg length, and body mass index [BMI]) in older adults. METHODS Nineteen older adults (7 females; age 69 years, SD 2, BMI 26 kg/m2, SD 4) completed a staged treadmill walking protocol: six minutes at 2.4, 3.2, 4.0, 5.6, and 6.4 km/h. Steps were manually counted and volume rate of oxygen consumed (VO2) was measured via indirect calorimetry. Aerobic fitness was estimated via the submaximal single-stage treadmill protocol. RESULTS When BMI was considered, mixed effects modeling revealed absolute and relative MPA step-rate thresholds of 108 spm and 117 spm, respectively. Absolute and relative VPA corresponded to step rates of 135 spm and 132 spm, respectively. Neither height nor leg length improved the ability of the model to predict stepping cadence from METs. CONCLUSIONS In general, older adults need to walk faster than 100 spm (ie, approximately 110 spm) to reach MPA and in excess of approximately 130 spm to achieve VPA, depending on BMI status. Health care professionals and researchers should adjust cadence-based recommendations for differences in BMI in their older patients and consider using relative intensity to most appropriately tailor their physical activity recommendations.
Collapse
Affiliation(s)
- Myles William O'Brien
- Centre of Lifestyle Studies, School of Kinesiology, Acadia University, Wolfville, NS, Canada.,Division of Kinesiology, Dalhousie University, Halifax, NS, Canada
| | - Matthew Jordan Kivell
- Centre of Lifestyle Studies, School of Kinesiology, Acadia University, Wolfville, NS, Canada
| | - William Robert Wojcik
- Centre of Lifestyle Studies, School of Kinesiology, Acadia University, Wolfville, NS, Canada
| | | | | | - Jonathon Richard Fowles
- Centre of Lifestyle Studies, School of Kinesiology, Acadia University, Wolfville, NS, Canada
| |
Collapse
|
6
|
O'Brien MW, Wojcik WR, Fowles JR. Medical-Grade Physical Activity Monitoring for Measuring Step Count and Moderate-to-Vigorous Physical Activity: Validity and Reliability Study. JMIR Mhealth Uhealth 2018; 6:e10706. [PMID: 30185406 PMCID: PMC6231750 DOI: 10.2196/10706] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 06/19/2018] [Accepted: 06/24/2018] [Indexed: 11/18/2022] Open
Abstract
Background The use of physical activity (PA) monitors is commonly associated with an increase in habitual PA level in healthy and clinical populations. The PiezoRx is a medical-grade PA monitor that uses adjustable step rate thresholds to estimate moderate-to-vigorous physical activity (MVPA) and is a valid indicator of free-living PA in adults. Laboratory validation of step count derived MVPA in adults is needed to justify the use of these monitors in clinical practice to track individuals’ progress toward meeting PA guidelines that are based on MVPA, not steps. Objective The objective of our study was to assess the validity and interinstrument reliability of the PiezoRx to derive step count and MVPA in a laboratory setting compared with criterion measures and other frequently used PA monitors in a diverse sample of adults. Methods The adult participants (n=43; 39.4 years, SD 15.2) wore an Omron HJ-320 pedometer, an ActiGraph GT3X accelerometer, and four PiezoRx monitors during a progressive treadmill protocol conducted for 6 minutes at speeds of 2.4, 3.2, 4.0, 5.6, 6.4, and 7.2 km/hour, respectively. The four PiezoRx monitors were set at different MVPA step rate thresholds (MPA in steps/minute/VPA in steps/minute) 100/120, 110/130, height adjusted, and height+fitness adjusted. Results The PiezoRx was more correlated (intraclass correlation, ICC=.97; P<.001) to manual step counting than the ActiGraph (ICC=.72; P<.001) and Omron (ICC=.62; P<.001). The PiezoRxs absolute percent error in measuring steps was 2.2% (ActiGraph=15.9%; Omron=15.0%). Compared with indirect calorimetry, the height-adjusted PiezoRx and ActiGraph were accurate measures of the time spent in MVPA (both ICC=.76; P<.001). Conclusions The PiezoRx PA monitor appears to be a valid and reliable measure of step count and MVPA in this diverse sample of adults. The device’s ability to measure MVPA may be improved when anthropometric differences are considered, performing at par or better than a research grade accelerometer.
Collapse
Affiliation(s)
- Myles William O'Brien
- Centre of Lifestyle Studies, School of Kinesiology, Acadia University, Wolfville, NS, Canada.,Division of Kinesiology, Dalhousie University, Halifax, NS, Canada
| | - William Robert Wojcik
- Centre of Lifestyle Studies, School of Kinesiology, Acadia University, Wolfville, NS, Canada
| | - Jonathon Richard Fowles
- Centre of Lifestyle Studies, School of Kinesiology, Acadia University, Wolfville, NS, Canada
| |
Collapse
|
7
|
Tudor-Locke C, Han H, Aguiar EJ, Barreira TV, Schuna JM, Kang M, Rowe DA. How fast is fast enough? Walking cadence (steps/min) as a practical estimate of intensity in adults: a narrative review. Br J Sports Med 2018; 52:776-788. [PMID: 29858465 PMCID: PMC6029645 DOI: 10.1136/bjsports-2017-097628] [Citation(s) in RCA: 189] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2017] [Indexed: 11/04/2022]
Abstract
Background Cadence (steps/min) may be a reasonable proxy-indicator of ambulatory intensity. A summary of current evidence is needed for cadence-based metrics supporting benchmark (standard or point of reference) and threshold (minimums associated with desired outcomes) values that are informed by a systematic process. Objective To review how fast, in terms of cadence, is enough, with reference to crafting public health recommendations in adults. Methods A comprehensive search strategy was conducted to identify relevant studies focused on walking cadence and intensity for adults. Identified studies (n=38) included controlled (n=11), free-living observational (n=18) and intervention (n=9) designs. Results There was a strong relationship between cadence (as measured by direct observation and objective assessments) and intensity (indirect calorimetry). Despite acknowledged interindividual variability, ≥100 steps/min is a consistent heuristic (e.g, evidence-based, rounded) value associated with absolutely defined moderate intensity (3 metabolic equivalents (METs)). Epidemiological studies report notably low mean daily cadences (ie, 7.7 steps/min), shaped primarily by the very large proportion of time (13.5 hours/day) spent between zero and purposeful cadences (<60 steps/min) at the population level. Published values for peak 1-min and 30-min cadences in healthy free-living adults are >100 and >70 steps/min, respectively. Peak cadence indicators are negatively associated with increased age and body mass index. Identified intervention studies used cadence to either prescribe and/or quantify ambulatory intensity but the evidence is best described as preliminary. Conclusions A cadence value of ≥100 steps/min in adults appears to be a consistent and reasonable heuristic answer to ’How fast is fast enough?' during sustained and rhythmic ambulatory behaviour. Trial registration number NCT02650258
Collapse
Affiliation(s)
- Catrine Tudor-Locke
- Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Ho Han
- Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Elroy J Aguiar
- Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Tiago V Barreira
- Department of Exercise Science, Syracuse University, Syracuse, New York, USA
| | - John M Schuna
- School of Biological and Population Health Sciences, Oregon State University, Corvalis, Oregon, USA
| | - Minsoo Kang
- Department of Health, Exercise Science and Recreation Management, The University of Mississippi, Mississippi, USA
| | - David A Rowe
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| |
Collapse
|