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Direct-to-patient mobile teledermoscopy is a feasible and useful adjunct to smartphone imaging for monitoring patient-identified lesions of concern, achieving comparable diagnostic and management accuracy as in-office dermatology.

BACKGROUND: There are ≈5 million annual dizziness visits to US emergency departments, of which vestibular strokes account for over 250 000. The head impulse, nystagmus, and test of skew eye examination can accurately distinguish vestibular strokes from peripheral dizziness. However, the eye-movement signs are subtle, and lack of familiarity and difficulty with recognition of abnormal eye movements are significant barriers to widespread emergency department use. To break this barrier, we sought to assess the accuracy of EyePhone, our smartphone eye-tracking application, for quantifying nystagmus. METHODS AND RESULTS: We prospectively enrolled healthy volunteers and recorded the velocity of induced nystagmus using a smartphone eye-tracking application (EyePhone) and then compared the results with video oculography (VOG). Following a calibration protocol, the participants viewed optokinetic stimuli with incremental velocities (2-12 degrees/s) in 4 directions. We extracted slow phase velocities from EyePhone data in each direction and compared them with the corresponding slow phase velocities obtained by the VOG. Furthermore, we calculated the area under the receiver operating characteristic curve for nystagmus detection by EyePhone. We enrolled 10 volunteers (90% men) with an average age of 30.2±6 years. EyePhone-recorded slow phase velocities highly correlated with the VOG recordings (r=0.98 for horizontal and r=0.94 for vertical). The calibration significantly increased the slope of linear regression for horizontal and vertical slow phase velocities. Evaluating the EyePhones performance using VOG data with a 2 degrees/s threshold showed an area under the receiver operating characteristic curve of 0.87 for horizontal and vertical nystagmus detection. CONCLUSIONS: We demonstrated that EyePhone could accurately detect and quantify optokinetic nystagmus, similar to the VOG goggles.

Floodlight Open was a global, open-access, digital-only study designed to understand the drivers and barriers in deployment and use of a smartphone app in a naturalistic setting and broad study population of people with and without multiple sclerosis (MS). The study utilised the Floodlight Open app: a bring-your-own-device solution that remotely measures a users mood, cognition, hand motor function, and gait and postural stability via smartphone sensor-based tests requiring active user input (active tests). Levels of mobility of study participants (life-space measurement) were passively measured. Study data from these tests were made available via an open-access platform. Data from 1350 participants with self-declared MS and 1133 participants with self-declared non-MS from 17 countries across four continents were included in this report. Overall, MS participants provided active test data for a mean duration of 5.6 weeks or a mean duration of 19 non-consecutive days. This duration increased among MS participants who persisted beyond the first week to a mean of 10.3 weeks or 36.5 non-consecutive days. Passively collected life-space measurement data were generated by MS participants for a mean duration of 9.8 weeks or 50.6 non-consecutive days. This duration increased to 16.3 weeks/85.1 non-consecutive days among MS participants who persisted beyond the first week. Older age, self-declared MS disease status, and clinical supervision as part of concomitant clinical research were all significantly associated with higher persistence of the use of the Floodlight Open app. MS participants performed significantly worse than non-MS participants on four out of seven active tests. The findings from this multinational study inform future research to improve the dynamics of persistence of use of digital monitoring tools and further highlight challenges and opportunities in applying them to support MS clinical care.

Tears within the stabilizing muscles of the shoulder, known as the rotator cuff (RC), are the most common cause of shoulder pain-often presenting in older patients and requiring expensive advanced imaging for diagnosis. Despite the high prevalence of RC tears within the elderly population, there is no previously published work examining shoulder kinematics using markerless motion capture in the context of shoulder injury. Here we show that a simple string pulling behavior task, where subjects pull a string using hand-over-hand motions, provides a reliable readout of shoulder mobility across animals and humans. We find that both mice and humans with RC tears exhibit decreased movement amplitude, prolonged movement time, and quantitative changes in waveform shape during string pulling task performance. In rodents, we further note the degradation of low dimensional, temporally coordinated movements after injury. Furthermore, a logistic regression model built on our biomarker ensemble succeeds in classifying human patients as having a RC tear with > 90% accuracy. Our results demonstrate how a combined framework bridging animal models, motion capture, convolutional neural networks, and algorithmic assessment of movement quality enables future research into the development of smartphone-based, at-home diagnostic tests for shoulder injury.

Purpose: We sought to understand technology-based communication regarding mpox (monkeypox) among gay, bisexual, and other men who have sex with men (GBMSM) during the global outbreak in 2022. Methods: Forty-four GBMSM (Mage = 25.3 years, 68.2% cisgender, 43.2% non-White) living in the United States participated. From May 2022 to August 2022, all text data related to mpox (174 instances) were downloaded from the smartphones of GBMSM. Text data and smartphone app usage were analyzed. Results: Content analysis revealed 10 text-based themes and 7 app categories. GBMSM primarily used search and browser, texting, and gay dating apps to share vaccine updates, seek mpox vaccination, find general mpox information, share mpox information with other GBMSM, and discuss links between mpox and gay culture. Data visualizations revealed that changes in communication themes and app usage were responsive to major milestones in the mpox outbreak. Conclusion: GBMSM used apps to facilitate a community-driven mpox response.

The increasing popularity of mHealth presents an opportunity for collecting rich datasets using mobile phone applications (apps). Our health-monitoring mobile application uses motion detection to track an individuals physical activity and location. The data collected are used to improve health outcomes, such as reducing the risk of chronic diseases and promoting healthier lifestyles through analyzing physical activity patterns. Using smartphone motion detection sensors and GPS receivers, we implemented an energy-efficient tracking algorithm that captures user locations whenever they are in motion. To ensure security and efficiency in data collection and storage, encryption algorithms are used with serverless and scalable cloud storage design. The database schema is designed around Mobile Advertising ID (MAID) as a unique identifier for each device, allowing for accurate tracking and high data quality. Our application uses Googles Activity Recognition Application Programming Interface (API) on Android OS or geofencing and motion sensors on iOS to track most smartphones available. In addition, our app leverages blockchain and traditional payments to streamline the compensations and has an intuitive user interface to encourage participation in research. The mobile tracking app was tested for 20 days on an iPhone 14 Pro Max, finding that it accurately captured location during movement and promptly resumed tracking after inactivity periods, while consuming a low percentage of battery life while running in the background.

Technology-augmented choice-making impacts many facets of business. The use of economic incentives under the ubiquitous mobile ecosystem for prosocial behavior has been shown to be particularly effective. He build on the previous work on this topic and study how mobile-based economic incentives and environments influence charitable giving behavior. In contrast to traditional fund-raising, we consider the use of mobile devices to generate giving in small denominations, which we term microgiving. In collaboration with a US-based mobile app provider, we incorporated a functionality that allowed users to contribute their in-app reward points to charity. To encourage donations, we used economic incentives in the form of monetary subsidies, i. e., rebates or matching grants, as well as digital nudges in the form of push notifications. ITe studied the effects of these factors on giving behavior across two large-scale field experiments. Focusing on the different aspects of smartphones that could differentially impact charitable giving behavior--namely the intensely private and personal nature of smartphones--we examined how the visibility of donation decisions affects giving behavior by toggling audience effects. Our results show that the effectiveness of incentives is contingent upon the magnitude of the incentive as well as the extent to which individual decisions are visible to others. To situate our results in relation to the traditional medium of charitable giving, we propose an analytical model that internalizes the subsidy rates and the audience effect. This study provides initial empirical evidence and an analytical model to advance technology-augmented charitable giving that can provide insights to organizations and senice providers. [ABSTRACT FROM AUTHOR]

Pupillometry is a measurement of pupil dilation commonly performed as part of neurological assessments. Prior work have demonstrated the potential for pupillometry in screening or diagnosing a number of neurological disorders including Alzheimers Disease, Schizophrenia, and Traumatic Brain Injury. Unfortunately, the expense and inaccessibility of specialized pupilometers that image in the near infrared spectrum limit the measurement to high resource clinics or institutions. Ideally, this measurement could be available via ubiquitous devices like smartphones or tablets with integrated visible spectrum imaging systems. In the visible spectrum of RGB cameras, the melanin in the iris absorbs light such that it is difficult to distinguish the pupil aperature that appears black. In this paper, we propose a novel pupillometry technique to enable smartphone RGB cameras to effectively differentiate the pupil from the iris. The proposed system utilizes a 630 nm long-pass filter to image in the far red (630-700 nm) spectrum, where the melanin in the iris reflects light to appear brighter in constrast to the dark pupil. Using a convolutional neural network, the proposed system measures pupil diameter as it dynamically changes in a frame by frame video. Comparing across 4 different smartphone models, the pupil-iris contrast of N = 12 participants increases by an average of 451% with the proposed system. In a validation study of N = 11 participants comparing the relative pupil change in the proposed system to a Neuroptics PLR-3000 Pupillometer during a pupillary light response test, the prototype system acheived a mean absolute error of 2.4%.

BACKGROUND: Exposure to natural vegetation (ie, greenspace) is related to beneficial outcomes, including higher positive and lower negative affect, in individuals with and those without mental health concerns. Researchers have yet to examine dynamic associations between greenspace exposure and affect within individuals over time. Smartphone-based ecological momentary assessment (EMA) and passive sensors (eg, GPS, microphone) allow for frequent sampling of data that may reveal potential moment-to-moment mechanisms through which greenspace exposure impacts mental health. OBJECTIVE: In this study, we examined associations between greenspace exposure and affect (both self-reported and inferred through speech) in people with and those without schizophrenia spectrum disorder (SSD) at the daily level using smartphones. METHODS: Twenty people with SSD and 14 healthy controls reported on their current affect 3 times per day over 7 days using smartphone-based EMA. Affect expressed through speech was labeled from ambient audio data collected via the phones microphone using Linguistic Inquiry and Word Count (LIWC). Greenspace exposure, defined as the normalized difference vegetation index (NDVI), was quantified based on continuous geo-location data collected from the phones GPS. RESULTS: Overall, people with SSD used significantly more positive affect words (P=.04) and fewer anger words (P=.04) than controls. Groups did not significantly differ in mean EMA-reported positive or negative affect, LIWC total word count, or NDVI exposure. Greater greenspace exposure showed small to moderate associations with lower EMA-reported negative affect across groups. In controls, greenspace exposure on a given day was associated with significantly lower EMA-reported anxiety on that day (b=-0.40, P=.03, 95% CI -0.76 to -0.04) but significantly higher use of negative affect words (b=0.66, P

PurposePersonal mobile devices such as smartphones are proving their usefulness in ever more applications in tele-eyecare. An inconvenience and potential source of error in these past approaches stemmed from the requirement for the subjects to situate their devices at a distance. The present study aims to clinically validate best corrected visual acuity (BCVA) measures carried out by a novel smartphone application "vision.app" (VisionApp Solutions S.L.) using comparative statistics against clinical measurements.Materials and methodsBCVA was measured in both eyes of 40 subjects using vision.app which displayed a black Landolt-C optotype with crowding on a white background, and utilized a 4 forced-choice procedure for the subjects to find (by means of swiping in either of four directions) the smallest optotype size they could resolve. Results were compared to BCVA measurements taken using a standard Snellen chart placed at 20 feet (6 m).ResultsThe t-test revealed no significant differences between the app- and clinically-measured VA (p = 0.478 (OD) and 0.608 (OS)), with a mean difference between clinical and app measurements of less than one line of the eye chart (-0.009 logMAR (OD) and -0.005 logMAR (OS)). A limit of agreement for a 95% confidence interval of ± 0.08 logMAR for OD and OS was found.ConclusionsThe results show the potential use of a smartphone to measure BCVA at a handheld distance. The newly validated study results can hold major future advancements in tele-eyecare and provide eye care professionals with a reliable and accessible method to measure BCVA.

BACKGROUND: Mobile health (mHealth) initiatives are increasingly common in low-resource settings, but the appropriateness of smartphone interventions in health care settings is uncertain. More research is needed to establish the appropriateness and feasibility of integrating new mHealth modalities (novel apps and social media apps) in the South African context. OBJECTIVE: In this study, to inform future mHealth interventions, we describe smartphone ownership, preferences, and usage patterns among pregnant women living with HIV in Gugulethu, South Africa. METHODS: We screened pregnant women living with HIV from December 2019 to February 2021 for the CareConekta trial. To be enrolled in the trial, respondents were required to be 18 years of age or older, living with HIV, ≥28 weeks pregnant, and own a smartphone that met the technical requirements of the CareConekta app. In this secondary analysis, we describe mobile phone ownership and sociodemographic characteristics of all women screened for eligibility (n=639), and smartphone use patterns among those enrolled in the trial (n=193). RESULTS: Overall, median age was 31 (IQR 27-35) years. Of the 582 women who owned smartphones, 580 responded to the question about whether or not it was a smartphone, 2 did not. Among those with smartphones, 92% (421/458) of them used the Android operating system of version 5.0 or above, 98% (497/506) of phones had a GPS, and 96% (485/506) of individuals charged their phones less than twice a day. Among women who were enrolled in the trial, nearly all (99%, 190/193) owned the smartphone themselves; however, 14% (26/193) shared their smartphone with someone. In this case, 96% (25/26) reported possessing the phone most of the day. Median duration of ownership of the smartphone was 12 (IQR 5-24) months, median duration with current phone number use was 25 (IQR 12-60) months, and median number of cell phone numbers owned 2 years prior to enrollment in the trial was 2 (IQR 1-2). Receiving (192/193, 99.5%) and making (190/193, 99%) phone calls were among the most common smartphone uses. The least used features were GPS (106/193, 55%) and email (91/193, 47%). WhatsApp was most frequently reported as a favorite app (181/193, 94%). CONCLUSIONS: Smartphone ownership is very common among pregnant women living with HIV in this low-resource, periurban setting. Phone sharing was uncommon, nearly all used the Android system, and phones retained sufficient battery life. These results are encouraging to the development of mHealth interventions. Existing messaging platforms-particularly WhatsApp-are exceedingly popular and could be leveraged for interventions. Findings of moderate smartphone ownership turnover and phone number turnover are considerations for mHealth interventions in similar settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT03836625; https://clinicaltrials.gov/ct2/show/NCT03836625?term=NCT03836625.

Smartphone Addiction and Peer Relations in Nursing Students

Abstract In the current work, a rapid, simple, low-cost, and sensitive smartphone-based colorimetric sensor array coupled with pattern-recognition methods was proposed for the determination and differentiation of some organic and inorganic bases (i.e., OH−, CO3 2−, PO4 3−, NH3, ClO−, diethanolamine, triethanolamine) as model compounds. The sensing system has been designed based on color-sensitive dyes (Fuchsine, Giemsa, Thionine, and CoCl2) which were used as sensor elements. The color changes of a sensor array were observed by the naked eye. The color patterns were recorded using digital imaging in a three-dimensional (red, green, and blue) space and quantitatively analyzed with color calibration techniques. Distinctive colorimetric patterns for target bases via linear discriminant analysis (LDA) and hierarchical clustering analysis (HCA) were observed. The results indicated that the analytes related to each class (at the different concentration levels in the range of 0.001–1.0 mol L−1) were clustered together in the canonical discriminant plot and HCA dendrogram with high sensitivity and an overall precision of 85%. Furthermore, the first function factor of LDA correlated with the concentration of each target analyte in a correlation coefficient (R2) range of 0.864–0.996. These described procedures based on the colorimetric sensor array technique could be a promising candidate for practical applications in package technology and facile detection of pollutants.

Abstract Background Understanding the role of smartphones to promote the health status of older adults is important in the digital society. Little is known about the effects of having smartphones on physical frailty despite its positive effect on the well-being of older adults. This study aimed to explore the association between smartphone ownership and frailty in community-dwelling older adults and its underlying mechanism. Methods We used data from the Korean Frailty and Aging Cohort Study and analyzed 2,469 older adults aged 72–86 years. Frailty, health literacy, and social support were assessed by Fried’s frailty phenotype, the Behavioral Risk Factor Surveillance System health literacy module, and the Enhancing Recovery in Coronary Heart Disease (ENRICHD) Social Support Instrument, respectively. The mediation model and moderated mediation model were estimated, where the mediator was health literacy and the moderator was social support, to explore the relationship between smartphone ownership and frailty. Results Of our study participants, 58.9% owned smartphones, and 10.9% were classified as frail. Smartphone ownership was negatively associated with frailty (β = −0.623, p

ABSTRACTPedestrian Dead Reckoning (PDR) plays an important role in multi-sensor fusion of indoor positioning due to its autonomy and continuity advantages. The robustness of PDR significantly impacts indoor positioning accuracy, but various pedestrians and mobility contexts pose challenges for reliable step detection and accurate step length estimation. This paper proposes a context-assisted personalized PDR localization solution to address these challenges. Firstly, by exploiting temporal and frequency domain features, an enhanced step detection method is developed to mitigate false step detection, especially during unfavorable actions of pedestrians. Subsequently, a personalized step length model is proposed, and its parameters are dynamically updated online using other high-precision sensors available within a multi-sensor fusion positioning solution. Moreover, the personalized step length model is further refined using mobility context knowledge. Finally, a novel context-assisted pedestrian velocity model is established for PDR localization to enhance positioning accuracy, particularly when there are changes in mobility contexts. The results demonstrate that the robustness of step detection is improved, and the false detection rate is reduced from 13% to 2%. For various smartphone users, the proposed context-assisted personalized step length model exhibits a relative error of 2.01%, in contrast to 7.06% observed with the traditional flat model. Consequently, the accuracy of walking distance is enhanced from 92.2% to 98.9%, and the PDR localization error is reduced from 2.49 m to 1.63 m. Importantly, the proposed solution exhibits more robust and consistent performance across different pedestrians, smartphone models, and challenging mobility contexts.

Abstract Background The purpose of this study was to clarify the relationship between smartphone addiction and miyafascial trigger points in university students. Methods A cross-sectional study of university students was conducted for the purpose of this study. The participants were assessed based on age, gender, dominant side, the amount of time they spent on their smartphones, the purpose of their use, and their posture. The Smartphone Addiction Scale Short Form (SAS-SF) was used to determine addictes and non-addicts. The cut-off value of SAS-SF is 31 and above for male and 33 and above for female. Results There were 136 participants in the study. The posture score for addicts and non-addicts ones was not significantly different (p > 0,05), but the number of trigger points, maximal bending posture and trigger points in the right levator scapula and right cervical erector muscles were significantly higher in the smartphone addict participants (p

Abstract Background Smartphone-based digital mental health interventions (DMHI) have been described as a purported solution to meet growing healthcare demands and lack of providers, but studies often don’t account for whether patients are concurrently in another treatment modality. Methods This preregistered quasi-experimental intent-to-treat study with 354 patients enrolled in a therapist-supported DMHI examined the treatment effectiveness of the Meru Health Program (MHP) as a stand-alone treatment as compared to the MHP in combination with any other form of treatment, including (1) in-person therapy, (2) psychotropic medication use, and (3) in-person therapy and psychotropic medication use. Results Patients with higher baseline depressive and anxiety symptoms were more likely to self-select into multiple forms of treatment, an effect driven by patients in the MHP as adjunctive treatment to in-person therapy and psychotropic medication. Patients in combined treatments had significantly higher depressive and anxiety symptoms across treatment, but all treatment groups had similar decreasing depressive and anxiety symptom trajectories. Exploratory analyses revealed differential treatment outcomes across treatment combinations. Patients in the MHP in combination with another treatment had higher rates of major depressive episodes, psychiatric hospitalization, and attempted death by suicide at baseline. Conclusions Patients with higher depressive and anxiety symptoms tend to self-select into using DMHI in addition to more traditional types of treatment, rather than as a stand-alone intervention, and have more severe clinical characteristics. The use the MHP alone was associated with improvement at a similar rate to those with higher baseline symptoms who are in traditional treatments and use MHP adjunctively.

Nocturnal smartphone use emits blue light, which can adversely affect sleep, leading to a variety of negative effects, particularly in children. Therefore, the present study aimed to determine the effect of acute (AC) (one night) and repeated (RC) (five nights) nocturnal smartphone exposure on sleep, cortisol, and next-day performance in Tunisian children. Thirteen participants (seven girls and six boys, age 9 ± 0.6, height 1.32 ± 0.06, weight 34.47 ± 4.41) attended six experimental nights. The experiment started with a baseline night (BL) with no smartphone exposure, followed by repeated sessions of nocturnal smartphone exposure lasting 90 minutes (08:00 pm–09:30 pm). Actigraphy; salivary cortisol; the Stroop test (selective attention); choice reaction time (CRT); N-back (working memory); counter-movement jump (CMJ), composed of flight time (time spent in the CMJ flight phase) and jump height; and a 30 m sprint were assessed the morning after each condition. Both AC and RC shortened total sleep time (TST) (p < 0.01), with a greater decrease with RC (−46.7 min, ∆% = −9.46) than AC (−28.8 min, ∆% = −5.8) compared to BL. AC and RC significantly increased waking after sleep onset (3.5 min, ∆% = 15.05, to 9.9 min, ∆% = 43.11%) and number of errors made on the Stroop test (1.8 error, ∆% = 74.23, to 3.07 error, ∆% = 97.56%). Children made 0.15 and 0.8 more errors (∆% = 6.2 to 57.61%) and spent 46.9 s and 71.6 s more time on CRT tasks (∆% = 7.22 to 11.11%) with AC and RC, respectively, compared to BL. The high-interference index of the Stroop task, CMJ performance, and 30 m sprint speed were only altered (p < 0.01) following RC (0.36, Δ% = 41.52%; −34 s, Δ% = −9.29%, for flight time and −1.23 m, −8.72%, for jump height; 0.49 s, Δ% = 6.48, respectively) when compared to BL. In conclusion, one- or five-night exposure to smartphones disturbed the children’s sleep quality and their performance, with more pronounced effects following RC.

Increasingly fierce competition in the smartphone industry encourages companies to design mature marketing strategies to create added value for consumers and build strong relationships with their consumers. This study aims to identify and analyze the direct and indirect effects of brand experience, brand love, brand trust, and brand loyalty on Samsung smartphone users in Malang City. Data for this was collected through a questionnaire and a sample of 140 smartphone users in Malang City. Sample selection was carried out using the purposive random sampling method. The collected data will be analyzed using SmartPLS 3.0. These results reveal that brand experience has no direct effect on brand loyalty. However, this study confirms an indirect influence of brand experience on brand loyalty through brand love and trust. The results have important implications for building strong emotional relationships and bonds between brands and consumers, and it is necessary to use cognitive and affection factors to create brand loyalty.

Introduction: Approximately 466 million people suffer from hearing loss worldwide, with Indonesia ranking fourth in Southeast Asia. However, conventional pure-tone audiometry is not yet available in many areas because of its high cost. Numerous available smartphone-based audiometry applications are potential alternative screening tools for hearing loss, especially in Indonesia. This study examined the findings on the validation of smartphone-based audiometry applications to assess hearing functions available in Indonesia. Materials and Methods: Based on the established eligibility criteria, this study was conducted by browsing the relevant literature validating smartphone-based audiometry applications in Indonesia. Relevant study data, such as the author, year, location, implementation procedures, and outcomes, were extracted and summarized. Results: This systematic review found 17 relevant and eligible publications. Of the six applications tested, 5 were found to have good validity, such as uHearTM, Audiogram MobileTM, AudCalTM, Hearing TestTM e-audiologia, and WuliraTM. All smartphone-based audiometry was tested only for the air conduction threshold and was influenced by several factors. Conclusion: Because smartphone-based audiometry is inexpensive, simple, and more accessible than conventional audiometric testing, it can be useful as a screening modality or alternative approach to assess hearing function. Unfortunately, smartphone-based audiometry cannot replace conventional audiometry in diagnosing hearing impairment.

The purpose of this article was to determine the association of the level of smartphone addiction with working memory in university students and fluid intelligence in high school graduates. For this purpose, initial measurements were made with an adaptation of the smartphone addiction scale to measure the former, with complex scope tasks for working memory and with Raven’s progressive matrices for fluid intelligence. For this purpose, a descriptive and cross-sectional study was implemented in three groups of Mexican institutions that receive a public subsidy. The sample consisted of 154 participants in total: 65 high school and 89 university students. The average age of high school students was 15.9 years, while the average age of university students was 20.9 years. Of the participants in general, 23% perceived themselves to be addicted, with the most prevalent symptoms tolerance and withdrawal syndrome, and the least prevalent being disregard for the consequences. The results indicate that there was no association between perceived addiction and working memory capacity or fluid intelligence. These findings lead to the development of new studies to determine other harmful effects on the daily lives of Mexican adolescents and young adults.

Introduction Smartphone (SP) use among adolescents is constantly increasing, and it has been reported that SP usage is detrimental to a number of health-related factors. This study was conducted to determine whether the use of SPs has an immediate impact on posture control in healthy adolescents and whether different time limits have different effects. Methods This single-group experiment was conducted on 75 adolescents aged between 13 and 18. Subjects’ static balance was evaluated using the Humac balance system before using an SP and after 10 min, 15 min, 20 min SP use, and 20 min using the SP with a headpiece. The stabilometric measures, including stability and path length scores, were obtained. Results By comparing stability scores and path length scores between baseline static assessment, after 10 min, after 15 min, after 20 min, and after 20 min of using an SP with a headpiece, we found that there was a significant difference between baseline static assessment and reassessment after all time limits. Following the use of an SP, the stability scores decreased, and path length scores increased. We also found no significant difference in stabilometric scores between different time limits of SP use. Furthermore, there were no substantial differences regarding posture control between the use of SP with and without headpieces. Conclusions Based on our study’s findings, SP use has an immediate effect on posture control with different time limits in healthy adolescents. Therefore, it is better to avoid SP use before or during activities requiring good postural stability.

Introduction A cascade of biomechanical changes occurs with postural deviations. Therefore, this study aimed to determine the trunk position and spine shape during smartphone use. Methods Body posture was tested by the photogrammetric method in habitual standing position and while using smartphones in 39 healthy subjects of both sexes. Results While using smartphones, the trunk was shifted backwards ( F (1.37) = 166.19, p = 0.0000), and the angle of the cervical spine increased in both sexes ( p < 0.05). Furthermore, the depth of thoracic kyphosis and lumbar lordosis increased ( p < 0.001), though only in the female group, but there were no differences in cervical load between groups ( p > 0.05). Conclusions Using a smartphone caused backward displacement of the upper torso in both sexes. It was also found that using a smartphone increased the depth of thoracic kyphosis and lumbar lordosis in females, which should be interpreted as a compensatory mechanism.

Active living lifestyles for wheelchair users (ALLWheel) was developed to improve leisure time physical activity (LTPA). The purpose of this study was to assess the feasibility of the ALLWheel program. In a pilot pre-post design, 12 manual wheelchair users in three Canadian cities completed the ALLWheel program (containing 14 sessions over 10 weeks delivered by a peer using a smartphone). Feasibility indicators were collected for process, resources, management, and intervention—before, during, and after ALLWheel. Exploratory outcomes were collected for LTPA (primary outcome), motivation, self-efficacy, and satisfaction with autonomy support and goal attainment—at baseline, immediately following ALLWheel, and three months later. Feasibility was evaluated using a priori criteria for success (yes/no), and within-subjects comparisons were made to explore the change in exploratory outcomes. The participants were 48.9 ± 15.1 years of age and women (66.7%), and had spinal cord injury (41.7%) or multiple sclerosis (16.7%). Feasibility was achieved in 11 of 14 indicators, with suggestions to consider subjective reports of LTPA as the primary outcome in a future randomized controlled trial to overcome limitations with device-based measures and to use strategies to enhance recruitment. Mild-intensity LTPA and satisfaction with goal attainment improved after the completion of ALLWheel. With minor modifications, it is feasible that ALLWheel can be administered to wheelchair users by a peer using a smartphone.

Aim of the study was to investigate the prevalence of problematic smartphone use, the characteristics of the content consumed and associations with other forms of online behavior among Russian and foreign medical students. Material and methods. 296 medical students were examined using the online survey method: 219 Russians (main group) and 77 foreigners (comparison group); 107 (36.2 %) boys and 189 (63.8 %) girls; age 20 [18; 21] years (median [lower quartile; upper quartile]). The structure of online behavior was assessed: adaptive, non-adaptive, and pathological (PIU) Internet use; specific forms of PIU: problematic use of computer games and social networks, mixed and undifferentiated form of PIU. The values of the total score of the scales of the applied psychometric questionnaires were determined. The indicators were compared in the general group of subjects, in groups of Russians and foreigners, including gender. Results. Problematic smartphone use is typical for 14.2 % of all surveyed. The share of smartphone addicts is higher among foreigners than among Russians (27.3 and 8.0 %, respectively), both boys and girls. PIU prevailed among foreigners (16.1 and 7.4 %), they are more often dependent on social networks (34.5 and 2.4 %). Foreign women were distinguished by a high incidence of problematic use of computer games (20.0 and 3.6 %) and social networks (25.0 and 3.1 %), as well as a mixed form of PIU (20.0 and 2.5 %). The content consumed by Russians (boys + girls) was dominated by being on social networks (77.6 Russians and 46.7 % foreigners) and listening to music (50.7 and 31.2 %, respectively). Gender differences in content included more frequent use of social networks by Russian students, both boys (81.1 and 48.1 %) and girls (76.5 and 43.5 %); more frequent listening to music by Russian males in comparison with foreign males (66.0 and 29.6 %) and Russian females (66.0 and 45.8 %). Foreign boys use smartphones for games more often than foreign girls, the preoccupation with smartphone games is higher among Russian women as well. Conclusions. The prevalence of problematic smartphone use, the characteristics of the content consumed and associations with other forms of PIU among Russian and foreign students were established. In our opinion, it is necessary to carry out further research aimed at solving an urgent medical and social problem of timely diagnosis of smartphonedependent behavior and prevention of somatic and neuropsychic health disorders associated with it in young people. The current range of indicators to be studied in people with problematic smartphone use should include an analysis of comorbid psychosomatic disorders (recurrent pain: headaches, abdominal pain, back pain) and features of psychosocial characteristics, taking into account age, sex and ethnic differences of electronic gadget users.

Abstract Background Among people with COPD, smartphone and wearable technology may provide an effective method to improve care at home by supporting, encouraging, and sustaining self-management. The current study was conducted to determine if patients with COPD will use a dedicated smartphone and smartwatch app to help manage their COPD and to determine the effects on their self-management. Methods We developed a COPD self-management application for smartphones and smartwatches. Participants were provided with the app on a smartphone and a smartwatch, as well as a cellular data plan and followed for 6 months. We measured usage of the different smartphone app functions. For the primary outcome, we examined the change in self-management from baseline to the end of follow up. Secondary outcomes include changes in self-efficacy, quality of life, and COPD disease control. Results Thirty-four patients were enrolled and followed. Mean age was 69.8 years, and half of the participants were women. The most used functions were recording steps through the smartwatch, entering a daily symptom questionnaire, checking oxygen saturation, and performing breathing exercises. There was no significant difference in the primary outcome of change in self-management after use of the app or in overall total scores of health-related quality of life, disease control or self-efficacy. Conclusion We found older patients with COPD would engage with a COPD smartphone and smartwatch application, but this did not result in improved self-management. More research is needed to determine if a smartphone and smartwatch application can improve self-management in people with COPD. Trial registration ClinicalTrials.Gov NCT03857061, First Posted February 27, 2019.

The research focuses on taking advantage of smartphone applications as one of the solutions to develop different products by developing processes to control the characteristics of products through the development of programming for those applications to add the advanced characteristics and features of the products periodically. Smartphones are characterized by their small size, direct contact with the user, and their possession of many technical capabilities, and statistics indicate the presence of nearly 5 billion smartphones, and these smartphones contain many applications in various fields.The problem lies in the need to produce many product control tools that are damaged several times during the product life cycle, and their ability to keep pace with development becomes weak, which limits their ability to satisfy the renewable desires of users, and continuing to develop means of statement and control of products by traditional methods leads To waste the resources and energy used in production, and results in many products that operate with high efficiency and the user refrains from them, due to their inability to communicate and fulfill their desires, which constitutes a burden on the environment. The research dealt with traditional and digital display and control systems, how to benefit from smartphone applications in developing products, managing the relationship between the user, the product and the manufacturer, in addition to showing the impact of this on achieving sustainability and reducing the volume of waste resulting from the transformation of many products into waste as a result of their inability to achieve desires of users. finally, the research reached the importance of benefiting from smartphone applications in developing products, satisfying the user's desires personally, reducing the waste of energy used in traditional development processes, and reducing the volume of technical waste.

AIM: To evaluate the convenience and accuracy of a novel smartphone-assisted “any-point two-step method” for finding the target axial position in cataract phacoemulsification combined with intraocular lens(IOL)implantation.METHODS: Prospective observational study. A total of 62 cases(62 eyes)of patients with age-related cataracts who underwent cataract phacoemulsification combined with IOL implantation in our hospital from October 2021 to April 2022 were selected. They were randomly divided into two groups: 31 cases(31 eyes)in the control group were applied with the “traditional two-step method” using slit lamp to mark the target axial position of the IOL, and 31 cases(31 eyes)in the experimental group were applied with the smartphone-assisted “two-step method” to mark the target axial position of the IOL. The Callisto eye navigation system was used as a standard reference, and the deviation of the reference marking point(deviation-1), the deviation of the target axial marking point(deviation-total), and the deviation of the angle from the reference marking point to the target axial marking point(deviation-2)were calculated and recorded as the preoperative axial marking time.RESULTS:Both deviation-1 and deviation-total values were lower in the experimental group than those in the control group(1.06°±1.39° vs 2.48°±2.23°, 1.77°±1.54° vs 2.81°±1.58°, all P0.05). The preoperative axial marking took shorter time in the experimental group than in the control group(1.77±1.70 min vs 2.88±3.20 min, P

Smartphone users use the mobile browser to interact with web-based applications. However, mobile browsers are vulnerable to various types of attacks such as phishing, DDoS, etc. There are numerous methods for detecting such attacks on the desktop environment, but, due to hardware limitations, such methods may not be effective for smartphones. Therefore, this paper presents different types of possible cyber-attacks in mobile browsers, and their solutions provided by various researchers to avoid such attacks. Additionally, the survey provides different types of mobile browser-related TLS errors and security indicators related challenges. We have discussed the consequences of emerging domains like mobile payment systems and online meetings. This survey will help the various mobile users in avoiding cyber-attacks while using the Internet for their day-to-day activities and will encourage researchers in designing new effective solutions against various types of mobile-specific cyber-attacks. [ABSTRACT FROM AUTHOR]