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Background: Digital inclusion of older people is an important agenda for the future and well-being of the older population, as it represents a form of social inclusion with significant gains for healthy aging. The present study aimed to understand the experiences of Brazilian older adults who use smartphones and the implications in their daily lives. Method: A qualitative study was developed using a constructivist grounded approach. Older people (≥60 years) with prior access to a smartphone were invited to participate in the study. Participation took place through semi-structured, audio-recorded interviews. Data collection and analysis occurred simultaneously using a constant comparative approach. Data management and analysis used the Atlas.ti® software. Results: Overall, 37 older people participated, with an average age of 70.60 ± 6.95 years, predominantly female (n = 33), white (n = 25), married (n = 26) and retired (n = 27). The first sample group included 27 older people with family support and the second group included 10 older people without family support (who lived alone in their homes). A core category emerged from the data analysis-"Expanding the personal and social development of older adults through smartphone communication"-around which three main categories emerged: 1) The smartphone as "a window to the world"; 2) The problem of misinformation and fake news on virtual networks; 3) Technological paradoxes in the use of smartphones. Conclusions: The digital transition associated with smartphone use brings unimaginable benefits to older adults who adopt positive habits to improve their well-being and expand their social connections, following efforts proposed by the Decade of Healthy Aging. However, older adults still face disparities and experience a significant digital divide, which represents a major challenge. Barriers to access are further aggravated in developing countries. We hope this study contributes to public health policies on digital inclusion and healthy aging.

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Objective: To evaluate the effectiveness of mobile -based learning (MBL) in improving nursing students' knowledge and skills when performing procedures in the operating room. Methods: A quasi-experimental study with control group, pre- and post-intervention assessment was conducted. A total of 128 nursing students from India were recruited by purposive sampling and randomly assigned to the intervention (use of a telephone application containing videos on hand washing, surgical gown donning, gloving, and assisting during intubation) and conventional education groups. A validated Structured Knowledge Questionnaire and an Objective Structured Clinical Examination (OSCE) scale was used to assess nursing students' competencies in relation to operating room procedures and a mobile-based learning satisfaction opinion questionnaire was administered. Results: The findings showed that the improvement in the mean knowledge and skills score was greater in the intervention group than in the control group (p<0.001). The administration of the MBL was rated as highly satisfactory by 93.8% of the students exposed to this learning method. Conclusion: The MBL intervention was effective in improving nursing students' knowledge and skills in the evaluated operating room procedures.

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Introduction: This study in Argentina evaluated the impact of the growzen™ buddy smartphone app on adherence to recombinant human growth hormone (r-hGH) treatment. Methods: The adherence data, invitation dates with a link to the app, app activation dates, and height measurements entered were extracted from the growzen™ digital health ecosystem. Patients with 12 months of adherence data, aged ≥2 years at treatment start, and aged <19 years were selected both before and after app implementation. Mean adherence was classified as optimal (≥85%) versus suboptimal (<85%). Adherence before and after implementation and the pre-post effect on adherence were assessed. Results: Data for 830 patients were available. Prior to app implementation, the proportion of patients with optimal adherence was 68% (n = 348/515). Following the app implementation, out of 315 patients, 302 (96%) received an invitation with a link to the app, 225 (71%) activated their account, and 127 (40%) entered height data in the first year. There was a significant early increase in the proportion of patients with optimal adherence following implementation: 82% (n = 258/315), p < 0.001. After implementation, the proportion of patients with optimal adherence included 80% (n = 78/98) of those with an active account who did not enter height measurements and 89% (n = 113/127) of those who did. There was a significant and positive pre-post app effect on adherence (p < 0.01) in patients with an active account. Discussion: Our results show that using the growzen™ buddy app has a rapid and positive impact on adherence to r-hGH treatment, and patients who were more engaged with the app demonstrated better adherence.

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The present study proposes a fiducial marker for location systems that uses computer vision. The marker employs a set of tape-shaped markers that facilitate their positioning in the environment, allowing continuous reading to cover the entire perimeter of the environment and making it possible to minimize interruptions in the location service. Because the marker is present throughout the perimeter of the environment, it presents hierarchical coding patterns that allow it to be robust against multiple detection scales. We implemented an application to help the user generate the markers with a floor plan image. We conducted two types of tests, one in a 3D simulation environment and one in a real-life environment with a smartphone. The tests made it possible to measure the performance of the tape-shaped marker with readings at multiple distances compared to ArUco, QRCode, and STag with detections at distances of 10 to 0.5 m. The localization tests in the 3D environment analyzed the time of marker detection during the journey from one room to another in positioning conditions (A) with the markers positioned at the baseboard of the wall, (B) with the markers positioned at camera height, and (C) with the marker positioned on the floor. The localization tests in real conditions allowed us to measure the time of detections in favorable conditions of detections, demonstrating that the tape-shaped-marker-detection algorithm is not yet robust against blurring but is robust against lighting variations, difficult angle displays, and partial occlusions. In both test environments, the marker allowed for detection at multiple scales, confirming its functionality.

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BACKGROUND: Moderately vigorous physical activity (PA) may be beneficial for people with sub-acute low back pain (LBP), but may initially be painful for patients and challenging for physical therapists to facilitate. OBJECTIVES: This study investigated motivational interviewing (MI) delivered by physical therapists and a smartphone app for increasing PA in people with LBP. METHODS: A mixed methods cluster randomised controlled trial involving 46 adults with LBP in Melbourne, Australia. Participants attended weekly 30-min physical therapy consultations for 6 weeks. Experimental group physical therapists were taught to embed MI into consultations and patients were provided with a self-directed app. The primary outcome was accelerometer-derived moderately vigorous PA. Secondary outcomes were LBP disability (Oswestry Disability Index), functional capacity (Patient Specific Functional Scale), and self-efficacy (Pain Self-Efficacy Questionnaire). Between-group differences were analysed by ANCOVA post-intervention. RESULTS: There was no statistically significant difference between the experimental group and control group for PA. Between-group differences in LBP disability (MD= 19.4 units, 95% CI: 8.5, 30.3), functional capacity (primary MD= -4.1 units, 95% CI: -6.9, -1.3; average MD= -3.1, 95% CI: -4.9, -1.2) and self-efficacy (MD -11.3 units, 95%CI -20.2, -2.5) favoured the control group with small to moderate effect sizes. There were low levels of overall engagement with the app. CONCLUSION: The embedded MI intervention was no more beneficial than physical therapy alone for PA and was associated with poorer LBP disability, function, and self-efficacy. The effectiveness of embedding MI and a smartphone app into usual care for LBP was not supported.

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Several protocols for motor assessment have been validated for use on smartphones and could be employed by public healthcare systems to monitor motor functional losses in populations, particularly those with lower income levels. In addition to being cost-effective and widely distributed across populations of varying income levels, the use of smartphones in motor assessment offers a range of advantages that could be leveraged by governments, especially in developing and poorer countries. Some topics related to potential interventions should be considered by healthcare managers before initiating the implementation of such a digital intervention.

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This paper reports the successful development and application of an efficient method for quantifying Pb2+ in aqueous samples using a smartphone-based colorimetric device with an imprinted polymer (IIP). The IIP was synthesized by modifying the previous study; using rhodizonate, 2-acrylamido-2-methylpropane sulfonic acid (AMPS), N,N'-methylenebisacrylamide (MBA), and potassium persulfate (KPS). The polymers were then characterized. An absorption study was performed to determine the optimal conditions for the smartphone-based colorimetric device processing. The device consists of a black box (10 × 10 × 10 cm), which was designed to ensure repeatability of the image acquisition. The methodology involved the use of a smartphone camera to capture images of IIP previously exposed at Pb2+ solutions with various concentrations, and color channel values were calculated (RGB, YMK HSVI). PLS multivariate regression was performed, and the optimum working range (0-10 mg L-1) was determined using seven principal components with a detection limit (LOD) of 0.215 mg L-1 and R2 = 0.998. The applicability of a colorimetric sensor in real samples showed a coefficient of variation (% RSD) of less than 9%, and inductively coupled plasma mass spectrometry (ICP-MS) was applied as the reference method. These results confirmed that the quantitation smartphone-based colorimetric sensor is a suitable analytical tool for reliable on-site Pb2+ monitoring.

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This study introduces an innovative algorithm for classifying transportation modes. It categorizes modes such as walking, biking, tram, bus, taxi, and private vehicles based on data collected through sensors embedded in smartphones. The data include date, time, latitude, longitude, altitude, and speed, gathered using a mobile application specifically designed for this project. These data were collected through the smartphone's GPS to enhance the accuracy of the analysis. The stopping times of each transport mode, as well as the distance traveled and average speed, are analyzed to identify patterns and distinctive features. Conducted in Cuenca, Ecuador, the study aims to develop and validate an algorithm to enhance urban planning. It extracts significant features from mobility patterns, including speed, acceleration, and over-acceleration, and applies longitudinal dynamics to train the classification model. The classification algorithm relies on a decision tree model, achieving a high accuracy of 94.6% in validation and 94.9% in testing, demonstrating the effectiveness of the proposed approach. Additionally, the precision metric of 0.8938 signifies the model's ability to make correct positive predictions, with nearly 90% of positive instances correctly identified. Furthermore, the recall metric at 0.83084 highlights the model's capability to identify real positive instances within the dataset, capturing over 80% of positive instances. The calculated F1-score of 0.86117 indicates a harmonious balance between precision and recall, showcasing the models robust and well-rounded performance in classifying transport modes effectively. The study discusses the potential applications of this method in urban planning, transport management, public transport route optimization, and urban traffic monitoring. This research represents a preliminary stage in generating an origin-destination (OD) matrix to better understand how people move within the city.

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Introduction: Excessive internet and mobile cell phone use has been increasing in recent years especially in teenagers who are a vulnerable population. However, there is a lack of psychometric evaluation of instruments that allow to identify behavior regarding problematic use of the internet and cell phones in the Latin America, particularly in Ecuador. The main aim of this study is to examine the psychometric properties of two instruments: the Internet-related experiences questionnaire (IREQ) and Mobile-related experiences questionnaire (MREQ) in high school students (n = 4, 174, M age = 15.63; 51.19% male and 48.37% female). Methods: The validation process was performed using one and two factors for both questionnaires according to previous literature. After checking the models proposed to date, the best fit model was the one-factor model for (IREQ) and one-factor model for (MREQ). Results and discussion: The invariance was performed using two samples according to gender (male, female) and has been confirmed with an acceptable internal consistency for both questionnaires. For IREQ (All, ω = 0.80; Male, ω = 0.77; Female, ω = 0.82) and for MREQ (All, ω = 0.83; Male, ω = 0.82; Female, ω = 0.84). In addition, we performed the correlation analysis between IREQ, MREQ, and socio-demographic variables and finally, both instruments demonstrated strong psychometric qualities within the local population.

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BACKGROUND: Smartphone addiction is a growing concern, especially among adolescents, due to its negative impact on health. This study examines how leisure physical activity influence this relationship. OBJECTIVE: This study aimed to investigate the relationship between smartphone addiction and adolescent health, examining the mediating role of loneliness and the moderating effect of leisure physical activity. METHODS: A survey of 1271 Chinese university students was conducted using the PAPS Health and Fitness Scale, Smartphone Addiction Scale, and Leisure Time Exercise Scale. RESULTS: Smartphone addiction negatively affects adolescent health. Loneliness mediates this relationship, while leisure physical activity moderates it. High levels of physical activity reduce the negative impact of loneliness on health (bsimple = -0.49, P < 0.001), whereas low levels enhance this impact (bsimple = -0.21, P < 0.001). CONCLUSION: These research have practical implications for preventing and reducing smartphone addiction and offer a theoretical foundation for promoting healthier lifestyles among adolescents.