RESUMO
BACKGROUND: Pediatric obesity is prevalent and challenging to treat. Although family-centered behavioral management is the gold standard, many families face structural inequities to its access and efficacy. Identifying ways to manage pediatric obesity within primary care is needed. METHODS: This feasibility study included three sequential trials of peer-led group sessions occurring biweekly or monthly between 3/2016 and 2/2017. Parent-child dyads were recruited from a large academic primary care clinic via mailed invitations, prioritizing patients living in local zip codes of historical disinvestment. Eligible patients were 6 to 12 years with a body mass index ≥85th percentile, with parent and child interest in making healthy lifestyle changes, and English speaking. RESULTS: 27 dyads participated, 77% were non-Hispanic Black. Retention and attendance rates were highest in the initial four-session biweekly pilot (100%, 0 dropouts), high in the full six-session biweekly cohort (83%, 1 dropout), and moderate in the monthly cohort (62.7%, 4 dropouts). Families reported high satisfaction with the sessions (4.75/5). Qualitative comments suggested social connections had motivated behavior change in some families. CONCLUSION: Parent-led group sessions for pediatric weight management show promise in engaging families. A future large trial is needed to assess behavior change and anthropometric outcomes.
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Obesidade Pediátrica , Humanos , Criança , Obesidade Pediátrica/prevenção & controle , Estudos de Viabilidade , Monitores de Aptidão Física , Índice de Massa Corporal , Estilo de Vida SaudávelRESUMO
OBJECTIVE: To develop a prediction equation for estimation physical activity level(PAL) based on the average daily steps in Chinese adults and to verify its prediction power. METHODS: A total of 800 adults with no restriction on physical activity were recruited. Excluding those who wore Actigragh WGT3X-BT accelerometer continuously for less than 3 days, 743 subjects(324 males, 419 females, mean age 31.4 years) were finally included. Daily steps, time of low intensity physical activity(LPA), moderate physical activity(MPA) and vigorous physical activity(VPA) and physical activity energy expenditure(PAEE) were measured by the accelerometer. The method of external validation was adopted. The measured PAL calculated by basal metabolic rate(BMR) measured by indirect thermography(IC) and total energy expenditure(TEE) measured by doubly labeled water method was used as the gold standard. The consistency of the prediction formula was verified by Bland-Altman analysis and the accuracy was verified by the accurate. RESULTS: The prediction equation was developed: PAL=1.17 + 0.000028 Steps. In the external verification, the mean difference was 0.05, the 95% consistency limit was(-0.26, 0.36), and the accuracy was 73%, indicating a good consistency. CONCLUSION: The prediction formula of PAL for Chinese adults based on the steps has good performance and can be applied to the management of physical activity and the prevention of obesity in Chinese adults.
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Metabolismo Basal , População do Leste Asiático , Metabolismo Energético , Exercício Físico , Adulto , Feminino , Humanos , Masculino , Monitores de Aptidão FísicaRESUMO
With the most recent developments in wearable technology, the possibility of continually monitoring stress using various physiological factors has attracted much attention. By reducing the detrimental effects of chronic stress, early diagnosis of stress can enhance healthcare. Machine Learning (ML) models are trained for healthcare systems to track health status using adequate user data. Insufficient data is accessible, however, due to privacy concerns, making it challenging to use Artificial Intelligence (AI) models in the medical industry. This research aims to preserve the privacy of patient data while classifying wearable-based electrodermal activities. We propose a Federated Learning (FL) based approach using a Deep Neural Network (DNN) model. For experimentation, we use the Wearable Stress and Affect Detection (WESAD) dataset, which includes five data states: transient, baseline, stress, amusement, and meditation. We transform this raw dataset into a suitable form for the proposed methodology using the Synthetic Minority Oversampling Technique (SMOTE) and min-max normalization pre-processing methods. In the FL-based technique, the DNN algorithm is trained on the dataset individually after receiving model updates from two clients. To decrease the over-fitting effect, every client analyses the results three times. Accuracies, Precision, Recall, F1-scores, and Area Under the Receiver Operating Curve (AUROC) values are evaluated for each client. The experimental result shows the effectiveness of the federated learning-based technique on a DNN, reaching 86.82% accuracy while also providing privacy to the patient's data. Using the FL-based DNN model over a WESAD dataset improves the detection accuracy compared to the previous studies while also providing the privacy of patient data.
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Inteligência Artificial , Punho , Humanos , Resposta Galvânica da Pele , Articulação do Punho , Monitores de Aptidão FísicaRESUMO
BACKGROUND: Preoperative assessment is crucial to prevent the risk of complications of surgical operations and is usually focused on functional capacity. The increasing availability of wearable devices (smartwatches, trackers, rings, etc) can provide less intrusive assessment methods, reduce costs, and improve accuracy. OBJECTIVE: The aim of this study was to present and evaluate the possibility of using commercial smartwatch data, such as those retrieved from the Fitbit Inspire 2 device, to assess functional capacity before elective surgery and correlate such data with the current gold standard measure, the 6-Minute Walk Test (6MWT) distance. METHODS: During the hospital visit, patients were evaluated in terms of functional capacity using the 6MWT. Patients were asked to wear the Fitbit Inspire 2 for 7 days (with flexibility of -2 to +2 days) after the hospital visit, before their surgical operation. Resting heart rate and daily steps data were retrieved directly from the smartwatch. Feature engineering techniques allowed the extraction of heart rate over steps (HROS) and a modified version of Non-Exercise Testing Cardiorespiratory Fitness. All measures were correlated with 6MWT. RESULTS: In total, 31 patients were enrolled in the study (n=22, 71% men; n=9, 29% women; mean age 76.06, SD 4.75 years). Data were collected between June 2021 and May 2022. The parameter that correlated best with the 6MWT was the Non-Exercise Testing Cardiorespiratory Fitness index (r=0.68; P<.001). The average resting heart rate over the whole acquisition period for each participant had r=-0.39 (P=.03), even if some patients did not wear the device at night. The correlation of the 6MWT distance with the HROS evaluated at 1% quantile was significant, with Pearson coefficient of -0.39 (P=.04). Fitbit step count had a fair correlation of 0.59 with 6MWT (P<.001). CONCLUSIONS: Our study is a promising starting point for the adoption of wearable technology in the evaluation of functional capacity of patients, which was strongly correlated with the gold standard. The study also identified limitations in the availability of metrics, variability of devices, accuracy and quality of data, and accessibility as crucial areas of focus for future studies.
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Monitores de Aptidão Física , Dispositivos Eletrônicos Vestíveis , Masculino , Humanos , Feminino , Idoso , Frequência Cardíaca/fisiologia , Monitorização Fisiológica , CaminhadaRESUMO
PURPOSE: Modern wearable devices provide objective and continuous activity data that could be leveraged to enhance cancer care. We prospectively studied the feasibility of monitoring physical activity using a commercial wearable device and collecting electronic patient-reported outcomes (ePROs) during radiotherapy (RT) for head and neck cancer (HNC). METHODS: Patients planned for a course of external beam RT with curative intent for HNC were instructed to use a commercial fitness tracker throughout the RT course. During weekly clinic visits, physician-scored adverse events were recorded during using Common Terminology Criteria for Adverse Events version 4.0, and patients completed ePRO surveys using a clinic tablet or computer. Feasibility of activity monitoring was defined as collection of step data for at least 80% of the RT course for at least 80% of patients. Exploratory analyses described associations between step counts, ePROs, and clinical events. RESULTS: Twenty-nine patients with HNC were enrolled and had analyzable data. Overall, step data were recorded on 70% of the days during patients' RT courses, and there were only 11 patients (38%) for whom step data were collected on at least 80% of days during RT. Mixed effects linear regression models demonstrated declines in daily step counts and worsening of most PROs during RT. Cox proportional hazards models revealed a potential association between high daily step counts and both reduced risk of feeding tube placement (hazard ratio [HR], 0.87 per 1,000 steps, P < .001) and reduced risk of hospitalization (HR, 0.60 per 1,000 steps, P < .001). CONCLUSION: We did not achieve our feasibility end point, suggesting that rigorous workflows are required to achieve continuous activity monitoring during RT. Although limited by a modest sample size, our findings are consistent with previous reports indicating that wearable device data can help identify patients who are at risk for unplanned hospitalization.
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Monitores de Aptidão Física , Neoplasias de Cabeça e Pescoço , Humanos , Projetos Piloto , Neoplasias de Cabeça e Pescoço/diagnóstico , Neoplasias de Cabeça e Pescoço/radioterapia , Medidas de Resultados Relatados pelo Paciente , EletrônicaRESUMO
PURPOSE: Exercise and social support are non-pharmacological strategies that improve health and wellbeing in women treated for breast cancer (WTBC). However, strategies to facilitate support and exercise in WTBC are typically resource intensive. The purpose of this study was to examine whether various forms of social support received from a matched peer were associated with increased exercise among WTBC. METHODS: A daily diary study was conducted to examine naturally occurring social support as it relates to daily exercise behavior. Forty-six WTBC were matched (23 pairs) and completed pre-screening survey assessing eligibility and baseline levels of exercise. Participants were given Fitbit devices to track physical activity behavior and completed daily surveys across 3 weeks assessing perceptions of exercise-related social support at fixed times at the end of each day. RESULTS: Mixed models accounting for day of study, baseline support, and baseline exercise levels revealed that higher levels of daily exercise-related tangible social support were associated with more daily steps (b = 506, SE = 143) and more light physical activity (LPA) minutes (b = 7.01, SE = 3.15). Informational social support was associated with higher moderate to vigorous physical activity (MVPA) minutes (b = 3.18, SE = 1.60). CONCLUSIONS: Overall, peer matching programs aimed at increasing exercise-related social support among WTBC might encourage exercise behaviors, especially among women who share exercise-specific information (e.g., benefits, type, activities).
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Neoplasias da Mama , Humanos , Feminino , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/terapia , Exercício Físico , Atividade Motora , Apoio Social , Monitores de Aptidão FísicaRESUMO
Healthcare technology is evolving from a conventional hub-based system to a personalized healthcare system accelerated by rapid advancements in smart fitness trackers. Modern fitness trackers are mostly lightweight wearables and can monitor the user's health round the clock, supporting ubiquitous connectivity and real-time tracking. However, prolonged skin contact with wearable trackers can cause discomfort. They are susceptible to false results and breach of privacy due to the exchange of user's personal data over the internet. We propose tinyRadar, a novel on-edge millimeter wave (mmWave) radar-based fitness tracker that solves the issues of discomfortness, and privacy risk in a small form factor, making it an ideal choice for a smart home setting. This work uses the Texas Instruments IWR1843 mmWave radar board to recognize the exercise type and measure its repetition counts, using signal processing and Convolutional Neural Network (CNN) implemented on board. The radar board is interfaced with ESP32 to transfer the results to the user's smartphone over Bluetooth Low Energy (BLE). Our dataset comprises eight exercises collected from fourteen human subjects. Data from ten subjects were used to train an 8-bit quantized CNN model. tinyRadar provides real-time repetition counts with 96% average accuracy and has an overall subject-independent classification accuracy of 97% when evaluated on the rest of the four subjects. CNN has a memory utilization of 11.36 KB, which includes only 1.46 KB for the model parameters (weights and biases) and the remaining for output activations.
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Exercício Físico , Monitores de Aptidão Física , Humanos , Software , Processamento de Sinais Assistido por Computador , Redes Neurais de ComputaçãoRESUMO
Maintaining physical activity is an important clinical goal for people with Parkinson's disease (PwPD). We investigated the validity of two commercial activity trackers (ATs) to measure daily step counts. We compared a wrist- and a hip-worn commercial AT against the research-grade Dynaport Movemonitor (DAM) during 14 days of daily use. Criterion validity was assessed in 28 PwPD and 30 healthy controls (HCs) by a 2 × 3 ANOVA and intraclass correlation coefficients (ICC2,1). The ability to measure daily step fluctuations compared to the DAM was studied by a 2 × 3 ANOVA and Kendall correlations. We also explored compliance and user-friendliness. Both the ATs and the DAM measured significantly fewer steps/day in PwPD compared to HCs (p < 0.01). Step counts derived from the ATs showed good to excellent agreement with the DAM in both groups (ICC2,1 > 0.83). Daily fluctuations were detected adequately by the ATs, showing moderate associations with DAM-rankings. While compliance was high overall, 22% of PwPD were disinclined to use the ATs after the study. Overall, we conclude that the ATs had sufficient agreement with the DAM for the purpose of promoting physical activity in mildly affected PwPD. However, further validation is needed before clinical use can be widely recommended.
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Monitores de Aptidão Física , Doença de Parkinson , Humanos , Acelerometria , Reprodutibilidade dos Testes , Exercício FísicoRESUMO
BACKGROUND: For older adults with severe aortic stenosis (AS) undergoing aortic valve replacement (AVR), recovery of physical function is important, yet few studies objectively measure it in real-world environments. This exploratory study explored the acceptability and feasibility of using wearable trackers to measure incidental physical activity (PA) in AS patients before and after AVR. METHODS: Fifteen adults with severe AS wore an activity tracker at baseline, and ten at one month follow-up. Functional capacity (six-minute walk test, 6MWT) and HRQoL (SF 12) were also assessed. RESULTS: At baseline, AS participants (n = 15, 53.3% female, mean age 82.3 ± 7.0 years) wore the tracker for four consecutive days more than 85% of the total prescribed time, this improved at follow-up. Before AVR, participants demonstrated a wide range of incidental PA (step count median 3437 per day), and functional capacity (6MWT median 272 m). Post-AVR, participants with the lowest incidental PA, functional capacity, and HRQoL at baseline had the greatest improvements within each measure; however, improvements in one measure did not translate to improvements in another. CONCLUSION: The majority of older AS participants wore the activity trackers for the required time period before and after AVR, and the data attained were useful for understanding AS patients' physical function.
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Estenose da Valva Aórtica , Valva Aórtica , Humanos , Feminino , Idoso , Idoso de 80 Anos ou mais , Masculino , Valva Aórtica/cirurgia , Monitores de Aptidão Física , Estenose da Valva Aórtica/cirurgia , Exercício FísicoRESUMO
Understanding on-court movement in tennis allows for enhanced preparation strategies to improve player readiness and performance. Here, we explore expert physical preparation coaches' perceptions of elite training strategies for preparation and performance in tennis, with special reference to lower limb activity. Thirteen world renowned tennis strength and conditioning coaches were interviewed in a semi-structured method that explored four key topic areas of physical preparation for tennis: i) the physical demands; ii) load monitoring practice; iii) the direction of ground reaction forces application during match-play; and iv) the application of strength and conditioning for tennis. Three higher-order themes emerged from these discussions: i) off-court training for tennis should be specific to the demands of the sport, ii) the mechanical understanding of tennis lags our physiological approach, and iii) our understanding of the lower limb's contribution to tennis performance is limited. These findings provide valuable insights into the importance of improving our knowledge relevant to the mechanical demands of tennis movement, whilst highlighting important practical considerations from leading tennis conditioning experts.
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Esportes , Tênis , Humanos , Monitores de Aptidão Física , Conhecimento , Extremidade InferiorRESUMO
The aim of this review was to explore the acceptability, opportunities, and challenges associated with wearable activity-monitoring technology to increase physical activity (PA) behavior in cancer survivors. A search of Medline, Embase, CINAHL, and SportDiscus was conducted from 1 January 2011 through 3 October 2022. The search was limited to English language, and peer-reviewed original research. Studies were included if they reported the use of an activity monitor in adults (+18 years) with a history of cancer with the intent to motivate PA behavior. Our search identified 1832 published articles, of which 28 met inclusion/exclusion criteria. Eighteen of these studies included post-treatment cancer survivors, eight were on active cancer treatment, and two were long-term cancer survivor studies. ActiGraph accelerometers were the primary technology used to monitor PA behaviors, with Fitbit as the most commonly utilized self-monitoring wearable technology. Overall, wearable activity monitors were found to be an acceptable and useful tool in improving self-awareness, motivating behavioral change, and increasing PA levels. Self-monitoring wearable activity devices have a positive impact on short-term PA behaviors in cancer survivors, but the increase in PA gradually attenuated through the maintenance phase. Further study is needed to evaluate and increase the sustainability of the use of wearable technologies to support PA in cancer survivors.
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Sobreviventes de Câncer , Neoplasias , Dispositivos Eletrônicos Vestíveis , Adulto , Humanos , Monitores de Aptidão Física , Exercício Físico , Neoplasias/terapiaRESUMO
Despite overwhelming adoption of wearable fitness trackers (WFT), it is unclear if they affect physical activity (PA) engagement or PA motivation. We hypothesized that combining a WFT with an effective intervention, motivational interviewing (MI), would positively influence both motivation and PA. A 12-week randomized controlled trial was conducted in 40 adults who did not meet PA recommendations. The four conditions were: a PA education (Educational control, n = 10), a WFT (WFT, n = 10), bi-weekly MI sessions (MI, n = 10), or both interventions (WFT+, n = 10). Motivation and PA were measured through an online survey and actigraphy pre- and post-intervention. Both the WFT+ and MI groups improved autonomous forms and decreased controlled forms of motivation. They also had higher basic psychological needs scores when compared to the Education group post-intervention. We detected no changes in PA. High autonomous motivation at baseline predicted higher post-intervention PA in the WFT+ group but predicted lower post-intervention PA in the WFT group. Results suggests that MI alone or with a WFT can improve basic psychological needs and autonomous forms of motivation for PA, but not PA participation. Individual differences in motivation at baseline may moderate the effect of a WFT on PA. This study was registered at clinicaltrials.gov (NCT490014).
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Motivação , Entrevista Motivacional , Humanos , Adulto , Monitores de Aptidão Física , Entrevista Motivacional/métodos , Exercício Físico/psicologia , ActigrafiaRESUMO
OBJECTIVE: Self-monitoring and behavioral feedback are widely used to help people monitor progress toward daily physical activity goals. Little information exists about the optimal dosing parameters for these techniques or if they are interchangeable in digital physical activity interventions. This study used a within-person experimental design to evaluate associations between the frequency of two different prompt types (one for each technique) and daily physical activity. METHOD: Insufficiently active young adults were assigned monthly physical activity goals and wore smartwatches with activity trackers for 3 months. They received zero to six randomly selected and timed watch-based prompts each day, with individual prompts either providing behavioral feedback or prompting the participant to self-monitor. RESULTS: Physical activity increased significantly over the 3-month period (step counts d = 1.03; moderate-to-vigorous physical activity duration d = 0.99). Mixed linear models revealed that daily step counts were positively associated with the frequency of daily self-monitoring prompts up to approximately three prompts/day (d = 0.22) after which additional prompts provided minimal or reduced benefit. Daily step counts were not associated with the frequency of behavioral feedback prompts. Daily moderate-to-vigorous physical activity was not associated with the frequency of either prompt. CONCLUSIONS: Self-monitoring and behavioral feedback are not interchangeable behavior change techniques in digital physical activity interventions, and only self-monitoring prompts show signs of a dose-response association with physical activity volume. Activity trackers, such as smartwatches and mobile apps, should provide an option to replace behavioral feedback prompts with self-monitoring prompts to promote physical activity among insufficiently active young adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Terapia Comportamental , Monitores de Aptidão Física , Adulto Jovem , Humanos , Retroalimentação , Bases de Dados Factuais , Modelos LinearesRESUMO
BACKGROUND: Poor physical activity (PA) and sleep behaviors in Hispanic adolescents contributes to increased risk for type 2 diabetes. Commonly owned digital devices and services like smartphones and text-messaging are highly used among adolescents and are promising intervention tools for reaching this age group. Personal activity trackers assess activity and sleep, making them ideal tools for addressing these behaviors. We propose to examine the feasibility of a 12-week intervention that uses theoretically grounded text messages and a Fitbit device to improve PA and sleep among Hispanic adolescents with obesity, as compared to a wait-list control group with a Fitbit device only. METHODS: Participants (N = 48; 14-16 years) will be randomized (1:1) to the intervention or wait-list control group. Youth in the intervention will receive a Fitbit Charge 5 and daily text messages. Youth in the wait-list control group will receive a Fitbit Charge 5 and information on PA and sleep guidelines. RESULTS: Feasibility will be examined by collecting process evaluation data on the following criteria: (1) recruit 48 Hispanic adolescents 14-16 years; (2) retain 85% of participants for post-assessments; (3) Fitbit wear ≥4 days/week and respond to 80% of text messages when prompted; (4) ≤10% technical issues; and (5) obtain 80% satisfaction from participants. DISCUSSION: This study will advance our knowledge on the feasibility of digital prevention strategies to promote PA and sleep behaviors to reduce T2D risk among Hispanic youth. If feasible, this approach has the potential to be a scalable, cost-effective diabetes prevention strategy among high-risk youth. TRIAL REGISTRATION: NCT04953442, registered on July 8, 2021.
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Diabetes Mellitus Tipo 2 , Exercício Físico , Aplicativos Móveis , Adolescente , Humanos , Diabetes Mellitus Tipo 2/prevenção & controle , Estudos de Viabilidade , Hispânico ou Latino , Projetos Piloto , Ensaios Clínicos Controlados Aleatórios como Assunto , Monitores de Aptidão FísicaRESUMO
OBJECTIVES: Limited research on using smart wearables such as Fitbit devices among people with dementia has shown favourable outcomes. The aim of this study was to explore the acceptability and feasibility of using a Fitbit Charge 3 among people with dementia, living in the community, who took part in the physical exercise component of the Comprehensive REsilience-building psychoSocial intervenTion pilot study. METHODS: A mixed methods study was conducted; Quantitative data relating to wear rates for the Fitbit were recorded and qualitative data were collected by group and individual interviews with the people with dementia and their caregiver about their experience of wearing/using the Fitbit in the study. RESULTS: Nine people with dementia and their caregiver completed the intervention. Only one participant wore the Fitbit consistently. Supporting set-up and use of the devices was time consuming and caregiver involvement was essential for day-to-day support: none of the people with dementia owned a smartphone. Few of them engaged with the Fitbit features, primarily only using it to check the time and only a minority wanted to keep the device beyond the intervention. DISCUSSION: When designing a study using smart wearables such as a Fitbit among people with dementia, consideration should be given to the following: the possible burden on caregivers supporting the use of the device; a lack of familiarity with this technology in the target population; dealing with missing data, and the involvement of the researcher in setting up and supporting use of the device.
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Demência , Monitores de Aptidão Física , Humanos , Projetos Piloto , Cuidadores , Exercício FísicoRESUMO
BACKGROUND: Commercial activity trackers are increasingly used in research and compared with research-based accelerometers are often less intrusive, cheaper, with improved storage and battery capacity, although typically less validated. The present study aimed to determine the validity of Oura Ring step-count and energy expenditure (EE) in both laboratory and free-living. METHODS: Oura Ring EE was compared against indirect calorimetry in the laboratory, followed by a 14-day free-living study with 32 participants wearing an Oura Ring and reference monitors (three accelerometers positioned at hip, thigh, and wrist, and pedometer) to evaluate Oura EE variables and step count. RESULTS: Strong correlations were shown for Oura versus indirect calorimetry in the laboratory (r = 0.93), and versus reference monitors for all variables in free-living (r ≥ 0.76). Significant (p < 0.05) mean differences for Oura versus reference methods were found for laboratory measured sitting (- 0.12 ± 0.28 MET), standing (- 0.27 ± 0.33 MET), fast walk (- 0.82 ± 1.92 MET) and very fast run (- 3.49 ± 3.94 MET), and for free-living step-count (2124 ± 4256 steps) and EE variables (MET: - 0.34-0.26; TEE: 362-494 kcal; AEE: - 487-259 kcal). In the laboratory, Oura tended to underestimate EE with increasing discrepancy as intensity increased. The combined activities and slow running in the laboratory, and all MET placements, TEE hip and wrist, and step count in free-living had acceptable measurement errors (< 10% MAPE), whereas the remaining free-living variables showed close to (≤13.2%) acceptable limits. CONCLUSION: This is the first study investigating the validity of Oura Ring EE against gold standard methods. Oura successfully identified major changes between activities and/or intensities but was less responsive to detailed deviations within activities. In free-living, Oura step-count and EE variables tightly correlated with reference monitors, though with systemic over- or underestimations indicating somewhat low intra-individual validity of the ring versus the reference monitors. However, the correlations between the devices were high, suggesting that the Oura can detect differences at group-level for active and total energy expenditure, as well as step count.
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Acelerometria , Metabolismo Energético , Humanos , Acelerometria/métodos , Actigrafia , Monitores de Aptidão Física , PunhoRESUMO
The purpose of this study was to develop sedentary cut-points for the activPAL and evaluate their performance against a criterion measure (i.e., activPAL processed by PALbatch). Part 1: Thirty-five adults (23.4 ± 3.6 years) completed 12 laboratory activities (6 sedentary and 6 non-sedentary activities). Receiver operator characteristic (ROC) curves proposed optimal Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) cut-points of 26.4 mg (ENMO) and 30.1 mg (MAD). Part 2: Thirty-eight adults (22.6 ± 4.1 years) wore an activPAL during free-living. Estimates from PALbatch and MAD revealed a mean percent error (MPE) of 2.2%, mean absolute percent error (MAPE) of 6.5%, limits of agreement (LoA) of 19% with absolute and relative equivalence zones of 5% and 0.3 SD. Estimates from PALbatch and ENMO revealed an MPE of -10.6%, MAPE of 14.4%, LoA of 31% and 16% and 1 SD equivalence zones. After standing was isolated from sedentary behaviours, ROC analysis proposed an optimal cut-off of 21.9 mg (herein ENMOs). Estimates from PALbatch and ENMOs revealed an MPE of 3.1%, MAPE of 7.5%, LoA of 25% and 9% and 0.5 SD equivalence zones. The MAD and ENMOs cut-points performed best in discriminating between sedentary and non-sedentary activity during free-living.
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Acelerometria , Exercício Físico , Monitores de Aptidão Física , Acelerometria/métodos , Humanos , Adulto , Comportamento Sedentário , Adulto JovemRESUMO
Wearable activity trackers and smartphone apps have been shown to increase physical activity in children and adults. However, interventions using activity trackers and apps have rarely been tested in whole families. This study examined the experience and satisfaction with an activity tracker and app intervention (Step it Up Family) to increase physical activity in whole families. Telephone interviews were conducted with Queensland-based families (n = 19) who participated in the Step it Up Family intervention (N = 40, single-arm, pre/post feasibility study) in 2017/2018. Using commercial activity trackers combined with apps, the intervention included an introductory session, individual and family-level goal setting, self-monitoring, family step challenges, and weekly motivational text messages. Qualitative content analysis was conducted to identify themes, categories and sub-categories. In summary, parents reported that children were engaged with the activity tracker and app features to reach their daily step goals. Some technical difficulties were experienced with app navigation, syncing of activity tracker data, and tracker band discomfort. Although families liked that the weekly text messages reminded them to be active, they did not find them very motivating. Using text messages for physical activity motivation in families requires further testing. Overall, the intervention was well-received by families for increasing physical activity motivation.
