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Within the USA military, monitoring body composition is an essential component of predicting physical performance and establishing soldier readiness. The purpose of this study was to explore mobile phone three-dimensional optical imaging (3DO), a user-friendly technology capable of rapidly obtaining reliable anthropometric measurements and to determine the validity of the new Army one-site body fat equations using 3DO-derived abdominal circumference. Ninety-six participants (51 F, 45 M; age: 23·7 ± 6·5 years; BMI: 24·7 ± 4·1 kg/m2) were assessed using 3DO, dual-energy X-ray absorptiometry (DXA) and a 4-compartment model (4C). The validity of the Army equations using 3DO abdominal circumference was compared with 4C and DXA estimates. Compared with the 4C model, the Army equation overestimated BF% and fat mass (FM) by 1·3 ± 4·8 % and 0·9 ± 3·4 kg, respectively, while fat-free mass (FFM) was underestimated by 0·9 ± 3·4 kg (P < 0·01 for each). Values from DXA and Army equation were similar for BF%, FM and FFM (constant errors between −0·1 and 0·1 units; P ≥ 0·82 for each). In both comparisons, notable proportional bias was observed with slope coefficients of −0·08 to −0·43. Additionally, limits of agreement were 9·5–10·2 % for BF% and 6·8–7·8 kg for FM and FFM. Overall, while group-level performance of the one-site Army equation was acceptable, it exhibited notable proportional bias when compared with laboratory criterion methods and wide limits of agreement, indicating potential concerns when applied to individuals. 3DO may provide opportunities for the development of more advanced, automated digital anthropometric body fat estimation in military settings.
The psychometric rigor of unsupervised, smartphone-based assessments and factors that impact remote protocol engagement is critical to evaluate prior to the use of such methods in clinical contexts. We evaluated the validity of a high-frequency, smartphone-based cognitive assessment protocol, including examining convergence and divergence with standard cognitive tests, and investigating factors that may impact adherence and performance (i.e., time of day and anticipated receipt of feedback vs. no feedback).
Methods:
Cognitively unimpaired participants (N = 120, Mage = 68.8, 68.3% female, 87% White, Meducation = 16.5 years) completed 8 consecutive days of the Mobile Monitoring of Cognitive Change (M2C2), a mobile app-based testing platform, with brief morning, afternoon, and evening sessions. Tasks included measures of working memory, processing speed, and episodic memory. Traditional neuropsychological assessments included measures from the Preclinical Alzheimer’s Cognitive Composite battery.
Results:
Findings showed overall high compliance (89.3%) across M2C2 sessions. Average compliance by time of day ranged from 90.2% for morning sessions, to 77.9% for afternoon sessions, and 84.4% for evening sessions. There was evidence of faster reaction time and among participants who expected to receive performance feedback. We observed excellent convergent and divergent validity in our comparison of M2C2 tasks and traditional neuropsychological assessments.
Conclusions:
This study supports the validity and reliability of self-administered, high-frequency cognitive assessment via smartphones in older adults. Insights into factors affecting adherence, performance, and protocol implementation are discussed.
This chapter analyses the evolution of finance and technology. In the modern era, we mark this in four major periods. The first focused on electrification and lasted for a century until the mid-to-late 1960s. It was dominated by analogue processes and traditional banks. The second period of digitisation was marked by digitisation, including across securities markets (NASDAQ), payments (ATMs, SWIFT), mass computerisation (financial calculators, PCs), communications (Internet, mobile), and lasted 40 years. From around 2007–2008 onwards, a new trend emerged as a result of the application of a range of new technologies to finance, combined with the impact of the 2008 GFC on finance and regulation. These three driving forces– the 2008 Crisis, the application of a range of new and transformative technologies to finance, and a massive increase in regulation globally in response to 2008 and a range of financial scandals– underpinned the emergence of FinTech, short for ‘financial technology’. This third period lasted just over 10 years and saw the rise of data, and its algorithmic analysis in a process called datafication which has transformed finance. The most recent era, driven by the COVID pandemic, commenced in 2020 and is characterised by the emergence of scale, in the form of large digital platforms.
The Stricker Learning Span (SLS) is a computer-adaptive digital word list memory test specifically designed for remote assessment and self-administration on a web-based multi-device platform (Mayo Test Drive). We aimed to establish criterion validity of the SLS by comparing its ability to differentiate biomarker-defined groups to the person-administered Rey’s Auditory Verbal Learning Test (AVLT).
Method:
Participants (N = 353; mean age = 71, SD = 11; 93% cognitively unimpaired [CU]) completed the AVLT during an in-person visit, the SLS remotely (within 3 months) and had brain amyloid and tau PET scans available (within 3 years). Overlapping groups were formed for 1) those on the Alzheimer’s disease (AD) continuum (amyloid PET positive, A+, n = 125) or not (A-, n = 228), and those with biological AD (amyloid and tau PET positive, A+T+, n = 55) vs no evidence of AD pathology (A−T−, n = 195). Analyses were repeated among CU participants only.
Results:
The SLS and AVLT showed similar ability to differentiate biomarker-defined groups when comparing AUROCs (p’s > .05). In logistic regression models, SLS contributed significantly to predicting biomarker group beyond age, education, and sex, including when limited to CU participants. Medium (A− vs A+) to large (A−T− vs A+T+) unadjusted effect sizes were observed for both SLS and AVLT. Learning and delay variables were similar in terms of ability to separate biomarker groups.
Conclusions:
Remotely administered SLS performed similarly to in-person-administered AVLT in its ability to separate biomarker-defined groups, providing evidence of criterion validity. Results suggest the SLS may be sensitive to detecting subtle objective cognitive decline in preclinical AD.
Providing the correct destination at the end of the product's use phase is essential for value recovery and to reduce the environmental impact at this lifecycle stage. To understand the e-waste recycling behavior among users, this article aims to identify the most common destinations given to smartphones when they are no longer used. A systematic literature review was carried out, and 13 studies were selected for a meta-analysis. The variable is the selection of the most common destinations for e-waste: reuse and recycling (recovered value), storage and informal collection (missed value), and household waste (destroyed value). The results present a summarized measure with the combined proportion of the studies for each category. Studies were weighted by the precision of confidence interval estimates presented in Forest Plots. The main results point out common problems and demonstrate how the strategies and policies adopted in each country can influence the chosen methods of disposal. These specificities require unique strategies to deal with local problems. As a secondary contribution, this study proposes guidelines to reduce e-waste generation and to create awareness and infrastructure to increase value recovery.
Nutrition-related smartphone applications (apps) could improve children’s nutrition knowledge and skills. However, little is known about the quality of nutrition-related apps for children. This study aimed to identify and evaluate the quality of nutrition-related smartphone apps designed for children ages 4–17.
Design:
This systematic appraisal is guided by the Protocol for App Store Systematic Reviews.
Setting:
Using Google’s Advanced Search, we identified 1814 apps/1184 additional apps in an updated search on iOS, of which twenty-four were eligible. The apps’ objective and subjective quality were evaluated using the twenty-three-item, five-point Mobile App Rating Scale. The objective quality scale consists of four subscales: engagement, functionality, aesthetics and information.
Results:
Most of the apps (75 %) focussed solely on promoting nutrition skills, such as making food dishes, rather than nutrition knowledge. Of the twenty-four apps, 83 % targeted children 4–8 years old. The app objective quality mean score was 3·60 ± 0·41. The subscale mean scores were 3·20 ± 0·41 for engagement, 4·24 ± 0·47 for functionality, 4·03 ± 0·51 for aesthetics and 2·94 ± 0·62 for information. The app subjective quality mean score was 2·10 ± 0·90.
Conclusions:
More robust approaches to app development leveraging co-design approaches, including involving a multidisciplinary team of experts to provide evidence-based nutrition information, are warranted.
Treatment for tinnitus focuses on supportive therapies. Long waiting times in the National Health Service encourage telemedicine options as an alternative. This study aimed to review the literature on telemedicine in the management of tinnitus and analyse its impact on the burden of tinnitus, long-term, anxiety, depression, insomnia and quality of life.
Method
PubMed, Embase, Cochrane Library, Google Scholar, Scopus and Web of Science were searched. English randomised, controlled trials with adult participants suffering from tinnitus were included. A random effects model looking at standardised mean differences between intervention and control groups was utilised.
Results
Eleven randomised, controlled trials were included. Nine studies looked at internet-based cognitive behavioural therapy. A z-value of 9.87 (p < 0.00001; I2 = 21 per cent) showed telemedicine approaches may be better at reducing tinnitus burden compared with passive controls.
Conclusion
Telemedicine options have multiple benefits, but more research will be needed to conclusively say they are better than alternatives.
This chapter draws on a series of contemporary Irish novels, charting the way everyday ‘technological objects’ – phones, laptops, computers – do more than simply sit alongside fictional characters. When we see ‘Connell’s face illuminated by the lit display’ of a phone in Sally Rooney’s Normal People (2018), we see a moment of intimacy between the characters. When Sinéad Hynes is shown ‘Googling [in bed]’ in Elaine Feeney’s As You Were (2020), we learn much about the character’s desire for privacy, her realism, her sense of humour. As the boy in Eimear McBride’s A Girl is a Half-Formed Thing (2013) hammers the controls of a computer game, or Anne Enright’s Gina in The Forgotten Waltz manages her extramarital affair on her smartphone, we see them finding refuge, expression, and intimacy in the company of their endlessly understanding machines. These are the machines that support their users, distract them, comfort them. The console consoles.
Technology-based interventions (TBIs) are a useful approach when attempting to provide therapy to more patients with psychosis.
Methods
Randomized controlled trials of outcomes of TBIs v. face-to-face interventions in psychosis were identified in a systematic search conducted in PubMed/Ovid MEDLINE. Data were extracted independently by two researchers, and standardized mean changes were pooled using a three-level model and network meta-analysis.
Results
Fifty-eight studies were included. TBIs complementing treatment as usual (TAU) were generally superior to face-to-face interventions (g = 0.16, p ≤ 0.0001) and to specific outcomes, namely, neurocognition (g = 0.13, p ≤ 0.0001), functioning (g = 0.25, p = 0.006), and social cognition (g = 0.32, p ≤ 0.05). Based on the network meta-analysis, the effect of two TBIs differed significantly from zero; these were the TBIs cognitive training for the neurocognitive outcome [g = 0.16; 95% confidence interval (CI) 0.09–0.23] and cognitive behavioral therapy for quality of life (g = 1.27; 95% CI 0.46–2.08). The variables educational level, type of medication, frequency of the intervention, and contact during the intervention moderated the effectiveness of TBIs over face-to-face interventions in neurocognition and symptomatology.
Conclusions
TBIs are effective for the management of neurocognition, symptomatology, functioning, social cognition, and quality of life outcomes in patients with psychosis. The results of the network meta-analysis showed the efficacy of some TBIs for neurocognition, symptomatology, and quality of life. Therefore, TBIs should be considered a complement to TAU in patients with psychosis.
The study objective was to (1) compare, through a randomised pilot intervention study, the effects of a standard health app and an enhanced health app, with evidence-based information regarding healthy lifestyle, on gestational weight gain, diet quality and physical activity in pregnant women. The sub-objectives were to (2) characterise app use and users among pregnant women and to (3) compare, in the overall sample regardless of the intervention, whether the frequency of the health app use has an effect on the change in gestational weight, diet quality and physical activity. Women recruited through social media announcements (n 1038) were asked to record their lifestyle habits in the app from early pregnancy to delivery. Self-reported weight, diet quality and physical activity were assessed in early and late pregnancy with validated online questionnaires. No benefits of the enhanced app use were shown on the lifestyle habits. Nevertheless, frequent app users (use ≥ 4·7 weeks) in the enhanced app group had a higher physical activity level in late pregnancy compared with those in the standard app group. Overall, extensive variation was found in the number of recordings (median 59, interquartile range 19–294) and duration of app use (median 4·7, interquartile range 1·1–15·6 weeks). Frequent app users had higher education level, underweight/normal weight, better diet quality and were non-smokers, married and primipara more likely than occasional app users/non-users. Physical activity among app users decreased less compared with non-users over the pregnancy course, indicating that app use could motivate to maintain physical activity during pregnancy.
To investigate the effectiveness of eTansiyon smartphone application in blood pressure control in patients with hypertension.
Background:
Global prevalence of hypertension and the burden of chronic illness care, especially in primary care, are increasing in world. We have developed eTansiyon to ensure the continuity of patient-physician relationship, so it may help to improve the lifestyle of patients with hypertension, increase their adherence to treatment and achieve the target blood pressure.
Methods:
This study was a non-randomized controlled study. The sample was selected by random sampling method among the patients registered in 6 Family Health Units (FHUs). Randomization was performed at the FHU level; the units were randomized to 4 control group (CG) and 2 intervention group (IG), so that randomization in this study was 2:1. Both groups were followed up for at least four months. In addition to CG, IG were provided to use eTansiyon. Obtained data were analysed to evaluate differences between groups at the beginning and end of the study, intra-group changes after follow-up and interaction between groups and follow-up period.
Findings:
The study was performed with 124 patients in CG and 61 patients in IG. At the end of the study, the average systolic blood pressure/diastolic blood pressure (SBP/DBP) of office and home was significantly lower in IG compared to CG (P < 0.001, MD 9.5 mmHg; P = 0.007, MD 3.8 mmHg; P < 0.001, MD 10.6 mmHg; P < 0.001, MD 4.8 mmHg, respectively), and it was found that the proportion of people with target blood pressure in IG was significantly higher than CG (P < 0.001, 49.2%(n = 30) and 22.6%(n = 28), respectively). Repeated measures ANOVA and generalized estimating equations results showed that follow-up period and interaction between groups were significant in terms of office and home SBP/DBP and target blood pressure level during follow-up period (P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.024, respectively).
Although several studies preliminary supported the effects of using smartphone mental health application (app) in patients with bipolar disorder (BD), patients’ subjective experience deserves more attention.
Objectives
The present study aimed to explore how the BD patient experienced while using the APP in detecting their mood relapse warning signs (MRW app) which has been developed by our team (Su et al., 2021).
Methods
The MRW app collects 2 passive (location and GPS removal distance) and 6 self-reported data (daily mood, wake and sleep time, the brief record of mood and life, voice pitch, speech tone and rhythm, facial expression, and weekly emotional scale). By using qualitative research design, 15 patients recruited from the psychiatric outpatient department in a medical center were in-depth interviewed.
Results
Four themes were identified as their subjective experience to use the app as: including positive and negative experience, facilitators, price, and barriers. Interconnected relationship was found in each theme; and counterbalancing associations between positive vs. negative experience, facilitators vs. price and barriers were also demonstrated.
Conclusions
Such first-person experience of using the app in illness detection could unveil technological myths and present its impacts upon patients’ lives in the real world. Implication for practice and future studies were be discussed.
Sub-Saharan Africa has seen an extraordinary technological take-up. As recently as a decade ago, fewer than 5 per cent of sub-Saharan Africans had access to the Internet but by December 2020, approximately 85 per cent of Kenyans and 73 per cent of Nigerians had internet access. Growing connectivity is empowering a generation with opportunities that would have been unthinkable a little as 10 years ago. Young sub-Saharan Africans are using tech-based solutions across agriculture, education, finance, healthcare and infrastructure, to develop African economies at lower cost and faster speed. The use of smartphones, which enable greater use of mobile technology, is also growing. Nigeria’s mobile economy is set to grow by 19 per cent between 2019 and 2025 – the highest rate in Sub-Saharan Africa, which is the fastest-growing mobile technology region in the world. Mobile technologies and services generated 9 per cent of GDP in sub-Saharan Africa in 2019 – a contribution that amounted to more than US$155 billion of economic value and supported almost 3.8 million jobs. This reflects the fact that in some areas – such as the mobile financial sector – sub-Saharan Africa has become a global leader.
Sub-Saharan Africa has seen an extraordinary technological take-up. As recently as a decade ago, fewer than 5 per cent of sub-Saharan Africans had access to the Internet but by December 2020, approximately 85 per cent of Kenyans and 73 per cent of Nigerians had internet access. Growing connectivity is empowering a generation with opportunities that would have been unthinkable a little as 10 years ago. Young sub-Saharan Africans are using tech-based solutions across agriculture, education, finance, healthcare and infrastructure, to develop African economies at lower cost and faster speed. The use of smartphones, which enable greater use of mobile technology, is also growing. Nigeria’s mobile economy is set to grow by 19 per cent between 2019 and 2025 – the highest rate in Sub-Saharan Africa, which is the fastest-growing mobile technology region in the world. Mobile technologies and services generated 9 per cent of GDP in sub-Saharan Africa in 2019 – a contribution that amounted to more than US$155 billion of economic value and supported almost 3.8 million jobs. This reflects the fact that in some areas – such as the mobile financial sector – sub-Saharan Africa has become a global leader.
While taking advantage of the educational benefits of smartphones, students also apply this device in inappropriate ways that cause certain disciplinary and educational problems. This study examines the effect of self-management training on smartphone dependence among male high school students. Methods: In this quasi-experimental study, data were collected using the Cell Phone Addiction Scale (Koo, 2009), which was completed by the trial and control groups before and after the educational intervention. After assessing their normal distribution, the data were analysed using the Chi-square test, the independent and paired t-tests, Mann–Whitney's U-test, and the Wilcoxon test at a significance level of p < .05. Results: The results showed significant post-intervention reductions in the mean score of smartphone dependence (35.10) and its three domains, including withdrawal/tolerance (14.80), life dysfunction (8.70), and compulsion/persistence (11.60), in the trial group compared to the controls (44.80, 16.2, 12.10, and 16.50) and also in the mean score of certain applications of smartphones (p < .05). Discussion and conclusions: Despite the existing limitations, the results confirmed the efficacy of self-management training in reducing smartphone dependence in the students. The implementation of this programme is recommended for reducing dependence and promoting the proper use of this device.
The high-precision global navigation satellite system (GNSS) positioning technique on smartphones has been attracting increasing interest in recent years. However, the low-cost GNSS chip and linearly polarised antenna embedded inside smartphones result in data lack and quality degradation, which hinders the high-precision GNSS positioning on smartphones. In this study, a mixed single- and dual-frequency quad-constellation precise point positioning (MSDQ-PPP) model is proposed to improve the positioning performance on smartphones by taking advantage of all available GNSS observations. Static and kinematic tests were made using a Xiaomi Mi8 smartphone to fully assess the MSDQ-PPP performance with comparisons to single-frequency PPP (SF-PPP) and dual-frequency PPP (DF-PPP) models. The static test results show that the MSDQ-PPP can reach an accuracy level of 0⋅39 m and 0⋅50 m in the horizontal and vertical directions with a convergence time of less than 10 min in most sessions. The MSDQ-PPP improves the positioning accuracy by 53% and 31% over the DF-PPP in the horizontal and vertical directions, respectively. In contrast to the SF-PPP, the positioning accuracy and convergence time improvement can reach 62% and 90% in the horizontal direction, respectively. In the kinematic test, the MSDQ-PPP achieves an accuracy of 0⋅7 m and 1⋅5 m in the horizontal and vertical directions, respectively. The accuracy improvement rates reach 78% and 76% over the DF-PPP, and 13% and 38% over the SF-PPP, respectively. Both static and kinematic MSDQ-PPP tests indicate significantly enhanced positioning performance.
Modern day otolaryngology has expanded beyond the ear, nose and throat to include head and neck surgery and aesthetic facial procedures. Photographic documentation is important within this expanded horizon. The spectrum of clinical photography includes photomicrographs, endoscopic photographs, peri-operative photography and medical social photography.
Method
This article aimed to review the standard guidelines essential to obtain, store and disseminate photographs and looked at setting up a small clinic with minimal gadgets to suit clinical photography requirements. Elaboration of basic photography techniques in otolaryngology was reviewed, with examples of photographs taken in a clinic by a clinician. Advances and innovation in clinical photography, in the form of smartphone photography, artificial intelligence, device editing and newer hardware and software in otorhinolaryngology was reviewed.
Conclusion
Having a professional photographer to aid a clinician is a luxury. Simple knowledge and regular practice of basic photography guidelines by a clinician is imperative.
Growing evidence studying pathological online behaviour has shown an increasing rate of internet addictions in younger populations across the globe.
Objectives
The current study aims to investigate the prevalence of smartphone internet addiction of youths in Hong Kong, and its associations with gender and depression.
Methods
A total of 1,164 participants’ preliminary data were extracted from the Hong Kong Youth Epidemiological Study of Mental Health, a territory-wide, household-based study of mental health in youths aged between 15-24. Internet usage behaviors, socio-demographic and psychosocial characteristics of the participants were assessed. The Chen Internet Addiction Scale was modified to measure smartphone internet addiction (SIA). Symptoms of depression were assessed using the Patient Health Questionnaire. Mann-Whitney U tests were used to examine (i) SIA across gender and (ii) depressive symptoms between high and no to low SIA groups. Linear regression model was used to evaluate the association between SIA and depression.
Results
The prevalence of smartphone internet addiction was 27.8% using the cut-off scores of 67/68. Women had higher SIA scores than men (U=144239.50, p=0.001). Participants with high SIA were associated with a higher severity in depression than those with no-to-low SIA (U=89187.00, p<0.001). Regression analysis revealed a significant positive correlation between depression and SIA after adjusting for confounding factors (B=0.099, t=9.138, p<0.001).
Conclusions
Our findings suggest a gender difference on online behaviour using smartphones. Further investigations are needed on whether SIA may exacerbate severity of common mental disorders.
Paediatric cardiology fellows, tasked with studying a large and dynamic field, may benefit from a quick-access digital resource that reflects contemporary practice. The objective of this study was to evaluate the effectiveness of a paediatric cardiology handbook smartphone app in enhancing the accessibility of information such as guidelines and recommendations for paediatric cardiology fellows.
Materials and methods:
The Peds Cardiology Handbook app (iOS) was designed using XCode and Swift programming. A pre-app survey and download instructions were sent to the US paediatric cardiology fellows, followed by a post-app survey. Fellows were asked to rate the ease of rapid access to various types of information. Responses were compared pre- and post-app using McNemar’s test and Wilcoxon signed-rank test.
Results:
Two-hundred and thirty paediatric cardiology fellows were contacted; 23% (n = 53) completed both the pre- and post-app surveys and were included for analysis. After using the app, fellows found it easier to quickly access information in eight out of nine domains evaluated (p < 0.05). All fellows found the app easy to use (100%), most felt that the app was well-organised (98%), contained reliable information (92%), and was useful for finding quick answers to clinical questions (87%).
Discussion:
The Peds Cardiology Handbook iPhone app is a useful, reliable tool that provides quick access to high-yield information, including guidelines and references. Overall, paediatric cardiology fellows found it easier to rapidly access clinically relevant information after using the app. Future studies may be necessary to evaluate long-term use and impact on evidence-based practice.
Pedestrian dead reckoning (PDR) is widely used in handheld indoor positioning systems. However, low-cost inertial sensors built into smartphones provide poor-quality measurements, resulting in cumulative error which consists of heading estimation error caused by gyroscope and step length estimation error caused by an accelerometer. Learning more motion features through limited measurements is important to improve positioning accuracy. This paper proposes an improved PDR system using smartphone sensors. Using gyroscope, two motion patterns, walking straight or turning, can be recognised based on dynamic time warp (DTW) and thus improve heading estimation from an extended Kalman filter (EKF). Joint quasi-static field (JQSF) detection is used to avoid bad magnetic measurements due to magnetic disturbances in an indoor environment. In terms of periodicity of angular rate while walking, peak–valley angular velocity detection and zero-cross detection is combined to detect steps. A step-length estimation method based on deep belief network (DBN) is proposed. Experimental results demonstrate that the proposed PDR system can achieve more accurate indoor positioning.