Dataset Information

Seeking Inspiration: Examining the Validity and Reliability of a New Smartphone Respiratory Therapy Exergame App.

ABSTRACT:

Background

Clinically valid and reliable simulated inspiratory sounds were required for the development and evaluation of a new therapeutic respiratory exergame application (i.e., QUT Inspire). This smartphone application virtualises incentive spirometry, a longstanding respiratory therapy technique.

Objectives

Inspiratory flows were simulated using a 3 litre calibration syringe and validated using clinical reference devices. Syringe flow nozzles of decreasing diameter were applied to model the influence of mouth shape on audible sound levels generated.

Methods

A library of calibrated audio inspiratory sounds was created to determine the reliability and range of inspiratory sound detection at increasing distances separating the sound source and smartphones running the app.

Results

Simulated inspiratory sounds were reliably detected by the new application at higher air inflows (high, medium), using smaller mouth diameters (<25 mm) and where smartphones were held proximal (≤5 cm) to the mouth (or at distances up to 50 cm for higher airflows). Performance was comparable for popular smartphone types and using different phone orientations (i.e., held horizontally, at 45° or 90°).

Conclusions

These observations inform future application refinements, including prompts to reduce mouth diameter, increase inspiratory flow and maintain proximity to the phone to optimise sound detection. This library of calibrated inspiratory sounds offers reproducible non-human reference data suitable for development, evaluation and regression testing of a therapeutic respiratory exergame application for smartphones.

SUBMITTER: Baxter C

PROVIDER: S-EPMC8513019 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundThere is strong evidence suggesting that higher levels of cardiorespiratory fitness (CRF) are associated with a healthier metabolic profile, and that CRF can serve as a powerful predictor of morbidity and mortality. In this context, a smartphone app based on the 2-km walk test (UKK test) would provide the possibility to assess CRF remotely in individuals geographically distributed around a country or continent, and even between continents, with minimal equipment and low costs.ObjectiveThe overall aim of this study was to evaluate the validity and reliability of 2kmFIT-App developed for Android and iOS mobile operating systems to estimate maximum oxygen consumption (VO2max) as an indicator of CRF. The specific aims of the study were to determine the validity of 2kmFIT-App to track distance and calculate heart rate (HR).MethodsTwenty participants were included for field-testing validation and reliability analysis. The participants completed the UKK test twice using 2kmFIT-App. Distance and HR were measured with the app as well as with accurate methods, and VO2max was estimated using the UKK test equation.ResultsThe validity results showed the following mean differences (app minus criterion): distance (-70.40, SD 51.47 meters), time (-0.59, SD 0.45 minutes), HR (-16.75, SD 9.96 beats/minute), and VO2max (3.59, SD 2.01 ml/kg/min). There was moderate validity found for HR (intraclass correlation coefficient [ICC] 0.731, 95% CI -0.211 to 0.942) and good validity found for VO2max (ICC 0.878, 95% CI -0.125 to 0.972). The reliability results showed the following mean differences (retest minus test): app distance (25.99, SD 43.21 meters), app time (-0.15, SD 0.94 seconds), pace (-0.18, SD 0.33 min/km), app HR (-4.5, 13.44 beats/minute), and app VO2max (0.92, SD 3.04 ml/kg/min). There was good reliability for app HR (ICC 0.897, 95% CI 0.742-0.959) and excellent validity for app VO2max (ICC 0.932, 95% CI 0.830-0.973). All of these findings were observed when using the app with an Android operating system, whereas validity was poor when the app was used with iOS.ConclusionsThis study shows that 2kmFIT-App is a new, scientifically valid and reliable tool able to objectively and remotely estimate CRF, HR, and distance with an Android but not iOS mobile operating system. However, certain limitations such as the time required by 2kmFIT-App to calculate HR or the temperature environment should be considered when using the app.

Project description:BACKGROUND:Smartphone apps for heart rate variability (HRV) measurement have been extensively developed in the last decade. However, ultra-short-term HRV recordings taken by wearable devices have not been examined. OBJECTIVE:The aims of this study were the following: (1) to compare the validity and reliability of ultra-short-term and short-term HRV time-domain and frequency-domain variables in a novel smartphone app, Pulse Express Pro (PEP), and (2) to determine the agreement of HRV assessments between an electrocardiogram (ECG) and PEP. METHODS:In total, 60 healthy adults were recruited to participate in this study (mean age 22.3 years [SD 3.0 years], mean height 168.4 cm [SD 8.0 cm], mean body weight 64.2 kg [SD 11.5 kg]). A 5-minute resting HRV measurement was recorded via ECG and PEP in a sitting position. Standard deviation of normal R-R interval (SDNN), root mean square of successive R-R interval (RMSSD), proportion of NN50 divided by the total number of RR intervals (pNN50), normalized very-low-frequency power (nVLF), normalized low-frequency power (nLF), and normalized high-frequency power (nHF) were analyzed within 9 time segments of HRV recordings: 0-1 minute, 1-2 minutes, 2-3 minutes, 3-4 minutes, 4-5 minutes, 0-2 minutes, 0-3 minutes, 0-4 minutes, and 0-5 minutes (standard). Standardized differences (ES), intraclass correlation coefficients (ICC), and the Spearman product-moment correlation were used to compare the validity and reliability of each time segment to the standard measurement (0-5 minutes). Limits of agreement were assessed by using Bland-Altman plot analysis. RESULTS:Compared to standard measures in both ECG and PEP, pNN50, SDNN, and RMSSD variables showed trivial ES (<0.2) and very large to nearly perfect ICC and Spearman correlation coefficient values in all time segments (>0.8). The nVLF, nLF, and nHF demonstrated a variation of ES (from trivial to small effects, 0.01-0.40), ICC (from moderate to nearly perfect, 0.39-0.96), and Spearman correlation coefficient values (from moderate to nearly perfect, 0.40-0.96). Furthermore, the Bland-Altman plots showed relatively narrow values of mean difference between the ECG and PEP after consecutive 1-minute recordings for SDNN, RMSSD, and pNN50. Acceptable limits of agreement were found after consecutive 3-minute recordings for nLF and nHF. CONCLUSIONS:Using the PEP app to facilitate a 1-minute ultra-short-term recording is suggested for time-domain HRV indices (SDNN, RMSSD, and pNN50) to interpret autonomic functions during stabilization. When using frequency-domain HRV indices (nLF and nHF) via the PEP app, a recording of at least 3 minutes is needed for accurate measurement.

Project description:Background and aimsMultiple national guidelines stress the importance for clinicians to possess good therapeutic skills for working with patients with significant relational difficulties (who may receive a diagnosis of personality disorder). Training clinicians in mentalization-based treatment skills (MBT-S) is one approach to address this. The main outcome measure used in MBT-S studies is the Knowledge and Application of MBT Questionnaire (KAMQ). However, an absence of research into the properties and validity of the KAMQ has limited the methodological quality of MBT-S evaluations so far. The aim of this study was therefore to investigate the factor structure, internal consistency, reliability, and validity of the KAMQ.MethodsUsing an existing multiprofessional sample of 217 clinicians from 2014 to 2016, we undertook exploratory factor analysis to determine the factor structure and internal consistency of the KAMQ. Convergent validity of the measure with the Attitudes to Personality Disorder Questionnaire (APDQ) was assessed in a subset of this dataset where both questionnaires had been administered (n = 92). Additionally, by recruiting a new sample of 70 clinicians, we assessed the measure's test-retest reliability.ResultsFactor analysis found three factors underlying 17 of the 20 KAMQ items, relating to therapeutic skills in mentalizing, beliefs about applying MBT in practice, and specific MBT knowledge. The KAMQ was revised following the factor analysis to form the KAMQ-2 with 17 items. Internal consistency (α = .85, 95% confidence interval [CI] = 0.80-0.89) and test-retest reliability (ICC = 0.84, 95% CI = 0.73-0.91) were good. In correlation analyses, the KAMQ-2 showed convergent validity with the main factor from the APDQ (n = 48; r s = 0.39, P < .01).ConclusionThe KAMQ-2 provides a short, reliable self-report instrument which probes clinicians' knowledge about mentalizing skills, and beliefs about using these. There was preliminary evidence for validity. The properties of the KAMQ-2 mean that more robust evaluation and development of MBT-S is now possible.

Project description:Background and Aim: Mental health is an integral part of adolescent wellbeing. However, only few adolescents understand the importance of mental health and are aware of the right time to seek help. Lack of knowledge and stigma may impede help-seeking behavior. To assess these aspects, three questionnaires have been developed in the English language. This study aims to assess the validity and reliability of an Indonesian version of the Mental Health Literacy and Help-Seeking Behavior set of questionnaires among adolescents in Indonesia. Methods: This is a cross-sectional study that used The Mental Health Literacy and Help-Seeking Behavior set of questionnaires developed by Kutcher and Wei. The set consists of three questionnaires: the Mental Health Knowledge, Attitude Toward Mental Health, and Help-Seeking Behavior questionnaire. The study was conducted between October 2020 and January 2021 with 68 first-year medical students at the University of Indonesia, who represented adolescents in a transitional phase. The questionnaires were translated into the Indonesian language by a bilingual psychiatrist and reviewed by 10 expert psychiatrists to determine content validity [Item-Level Content Validity Index (I-CVI) and Scale-Level Content Validity Index (S-CVI)]. Cronbach's alpha values were used to assess internal consistency (reliability). Results: The content validity test produced positive results with an I-CVI scores of 0.7–1.0 and S-CVI scores of 0.87, 0.90, and 0.99 for the knowledge, attitude, and help-seeking behavior questionnaires, respectively. For the reliability test, Cronbach's alpha values were 0.780 for the attitude questionnaire and 0.852 for the help-seeking behavior questionnaire, while the value for the knowledge questionnaire was 0.521. Conclusion: The ability to properly measure mental health through the availability of accessible, valid, and understandable tools plays an important role in addressing mental health issues among adolescents. In the current study, the Indonesian translations of all three questionnaires examining knowledge, attitude, and help-seeking behavior were considered to be valid and reliable.

Project description:BackgroundIn the Dutch National Food Consumption Survey, dietary intake has been assessed since 2003 through 24-hour dietary recalls using the GloboDiet software. A new self-administered smartphone food record app called DitEetIk! was developed for potential use in future surveys.ObjectiveThis study aims to evaluate the data collected using the DitEetIk! app and its relative validity for food group, energy, and nutrient intake compared with the previous dietary assessment method (GloboDiet 24-hour dietary recalls).MethodsA total of 300 participants aged 18 to 79 years were recruited from a consumer panel. Participants were asked to keep a record of their consumption using the DitEetIk! app on 3 nonconsecutive days. Trained dietitians conducted a 24-hour dietary recall interview by telephone using the GloboDiet software (International Agency for Research on Cancer) regarding 1 of 3 DitEetIk! recording days. Nutrient intake was calculated using the NEVO database (version 2021/7.0). Relative validity was studied by comparing data from GloboDiet 24-hour dietary recalls and the DitEetIk app for the same day. Participants with implausible records, defined as days with energy intake of <0.6 or >3.0 basal metabolic rate, were excluded from the analyses. For 19 food groups and 29 nutrients, differences in median intake were assessed using the Wilcoxon signed rank test, and Spearman correlation coefficients were calculated. Bland-Altman plots with mean differences and 95% limits of agreement were created for energy intake and the contribution to energy intake from fat, carbohydrates, and protein.ResultsA total of 227 participants completed a combination of a DitEetIk! app recording day and a 24-hour dietary recall interview for the same day. Of this group, 211 participants (n=104, 49.3% men and n=107, 50.7% women) had plausible recording days. Of all recorded food items, 12.8% (114/894) were entered via food barcode scanning, and 18.9% (169/894) were searched at the brand level. For 31% (5/16) of the food groups, the median intake assessed using the DitEetIk! app was >10% lower than that assessed using 24-hour dietary recalls; this was the case for fruit (P=.005), added fats (P=.001), milk and milk products (P=.02), cereal products (P=.01), and sauces (P<.001). This was also the case for 14% (4/29) of the nutrients (all P<.001). Regarding mean intake, differences were generally smaller. Regarding energy intake, the mean difference and 95% limits of agreement were 14 kcal (-1096 to 1124). Spearman correlation coefficients between intake assessed using the DitEetIk! app and 24-hour dietary recalls ranged from 0.48 to 0.88 (median 0.78) for food groups and from 0.58 to 0.90 (median 0.72) for nutrients.ConclusionsCompared with GloboDiet 24-hour dietary recalls, the DitEetIk! app assessed similar mean energy intake levels but somewhat lower median intake levels for several food groups and nutrients.

Project description:AimThe objective of this study was to evaluate the Chinese version of the Smartphone Distraction Scale (C-SDS), which is an easy-to-use tool for screening the risk of smartphone distraction in Chinese college students.MethodsThe C-SDS, Smartphone Addiction Scale - Short Version (SAS-SV), Fear of Missing Out scale (FoMO) and Metacognition about Smartphone Use Questionnaire (MSUQ) were used in a sample of 1,002 Chinese college students to test smartphone distraction and its influencing factors. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to test measurement properties and factor structures of the C-SDS. Multi-variable linear regressions examined the relationships of sex, age, education level, the purpose of using a smartphone, usage of smartphone (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use with the C-SDS.ResultsThe EFA showed a 3-factor structure, which consisted of attention impulsiveness, multitasking and emotion regulation. The CFA showed that the 3-factor demonstrated an overall better model fit (RMSEA = 0.07, SRMR = 0.05, CFI = 0.94, TLI = 0.93). The C-SDS showed internal consistency (Cronbach's α = 0.88, McDonald's Omega ω = 0.88). Findings included that negative metacognition about smartphone use was most correlated with the C-SDS (b = 0.73; p < 0.001). Smartphone addiction, positive metacognition about smartphone use and fear of missing out also correlated with the C-SDS (b = 0.66, p < 0.001; b = 0.53, p < 0.001; b = 0.40, p < 0.001, respectively). The study shows that males compared to females (b = -1.65; p = 0.003), had a higher C-SDS score.ConclusionThe C-SDS was valid and reliable for assessing the distraction of using smartphones in the Chinese context. Being female, the purpose of using a smartphone, smartphone usage (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use were positively correlated to the C-SDS.