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Fulltext Utility and usability evaluation of an information diary tool to measure health information access and exposure among patients with high cardiovascular risk

Lim HM, Ng CJ, Abdullah A, Dalmazzo J, Lim WX, Lee KH, et al.

Front Public Health, 2023;11:1132397.
PMID: 37228723 DOI: 10.3389/fpubh.2023.1132397

BACKGROUND: Online health misinformation about statins potentially affects health decision-making on statin use and adherence. We developed an information diary platform (IDP) to measure topic-specific health information exposure where participants record what information they encounter. We evaluated the utility and usability of the smartphone diary from the participants' perspective.
METHODS: We used a mixed-method design to evaluate how participants used the smartphone diary tool and their perspectives on usability. Participants were high cardiovascular-risk patients recruited from a primary care clinic and used the tool for a week. We measured usability with the System Usability Scale (SUS) questionnaire and interviewed participants to explore utility and usability issues.
RESULTS: The information diary was available in three languages and tested with 24 participants. The mean SUS score was 69.8 ± 12.9. Five themes related to utility were: IDP functions as a health information diary; supporting discussion of health information with doctors; wanting a feedback function about credible information; increasing awareness of the need to appraise information; and wanting to compare levels of trust with other participants or experts. Four themes related to usability were: ease of learning and use; confusion about selecting the category of information source; capturing offline information by uploading photos; and recording their level of trust.
CONCLUSION: We found that the smartphone diary can be used as a research instrument to record relevant examples of information exposure. It potentially modifies how people seek and appraise topic-specific health information.

Matched MeSH terms: Smartphone
The Dual Systems Model-Impulsivity and Narcissism as the Reflexive System and Self-Regulation as the Reflective System-of Smartphone Addiction

Tan KA, Nik Jaafar NR, Bahar N, Ibrahim N, Baharudin A, Wan Ismail WS, et al.

Cyberpsychol Behav Soc Netw, 2024 Feb;27(2):156-162.
PMID: 38232711 DOI: 10.1089/cyber.2023.0337

The exploration of underlying mechanisms leading to the development of smartphone addiction has been limited, with only a few studies incorporating theories to provide explanations. Drawing upon the Dual Systems Model, this study tested the hypothesis that the reflective system of self-regulation would mediate the relation between the reflexive system of impulsivity and narcissism, and smartphone addiction in a sample of 298 undergraduate students. Participants completed a self-administrated web-based questionnaire containing measures of impulsivity (the Barratt Impulsiveness Scale), narcissism (the Narcissistic Personality Inventory), self-regulation (the Self-Regulation Scale), and smartphone addiction (the Smartphone Addiction Inventory). The findings from structural equation modeling revealed that self-regulation served as a significant mediator between impulsivity and smartphone addiction, as well as between narcissism and smartphone addiction. These findings offer insights that can contribute to the development of interventions and strategies that target impulsivity and narcissism by enhancing self-regulation skills.

Matched MeSH terms: Smartphone
Need analysis of a dietary application among caregivers of patients with disorders of amino acid metabolism (AAMDs): A mixed-method approach

Lim JY, Ali NM, Rajikan R, Amit N, Hamid HA, Leong HY, et al.

Int J Med Inform, 2023 Sep;177:105120.
PMID: 37295139 DOI: 10.1016/j.ijmedinf.2023.105120

BACKGROUND: A dietary application can assist the caregivers of AAMDs children in auto-calculating the protein intake, hence improving dietary compliance. However, existing dietary application for patients with AAMDs only focus on delivering the nutritional content of food and monitoring the dietary intake but were lacking in other educational components.
OBJECTIVE: To assess the uses, needs and preferences towards a dietary application among the caregivers of AAMDs patients.
METHODS: We conducted a mixed-method study comprising focus group discussion (FGD) and a quantitative questionnaire survey among caregivers of patients aged between 6-month-old to 18-year-old with AAMDs who are receiving active treatment, both medical and dietetic treatment in the genetic clinic, Hospital Kuala Lumpur (HKL).
RESULTS: A total of 76 and 20 caregivers participated in the survey and FGD respectively. All the caregivers (100%) possessed a smartphone and most of the caregivers (89.5%) had the experience of using smartphone or other technological devices to search for health or medical information. However, majority of the participants were not aware of the existence of any web-based or mobile application related to AAMDs (89.5%). While for the qualitative part, three themes emerged: (1) experience with current source of information; (2) needs for supporting self-management educational contents and needs for technological design application. Most of the caregivers used the nutritional booklet as sources of reference but some of them searched for web-based information. Features perceived by the caregivers included a digital food composition database, sharing diet recall with healthcare providers, self-monitoring diet intake as well as low protein recipes. Besides that, user-friendly and ease to use were also perceived as the important features by the caregivers.
CONCLUSION: The identified features and needs by the caregivers should be integrated into the design of the apps to promote acceptance and usage.

Matched MeSH terms: Smartphone
The correlation between mindfulness and problematic smartphone use: A meta-analysis

Ru Y, Norlizah HC, Nasuha Burhanuddin NA, Liu H, Dong J

Addict Behav, 2025 May;164:108272.
PMID: 39923383 DOI: 10.1016/j.addbeh.2025.108272

OBJECTIVES: In the modern era of constant digital technological advancements, problematic smartphone use has become a key issue in educational psychology. This phenomenon affects individual psychological well-being and academic or other performance and encompasses interpersonal relationships and societal aspects, divulging the intricate correlation between technology usage and human behavior. This study aims to explore mindfulness as an intervention measure to lessen problematic smartphone use.
METHODS: Based on the PRISMA method, this study used a meta-analytic approach to explore the relationship between mindfulness and problematic smartphone use systematically. Systematic literature searches for papers published before February 2024 yielded 29 studies, including 17,534 individuals and 30 effect sizes. The sample comprised participants from Eastern cultures (n = 22 studies) and Western cultures (n = 8 studies).
RESULTS: The meta-analysis revealed a significant negative correlation between mindfulness and problematic smartphone use (r = -0.399, 95 % CI [-0.457, -0.338], p

Matched MeSH terms: Smartphone
Fulltext SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications

Karim A, Salleh R, Khan MK

PLoS One, 2016;11(3):e0150077.
PMID: 26978523 DOI: 10.1371/journal.pone.0150077

Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies.

Matched MeSH terms: Smartphone
Fulltext Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

Rahman MS, Peeri NC, Shrestha N, Zaki R, Haque U, Hamid SHA

Health Policy Technol, 2020 Jun;9(2):136-138.
PMID: 32322475 DOI: 10.1016/j.hlpt.2020.04.005

•IoT within infectious disease epidemiology is an emerging field of research, however the ubiquitous availability of smart technologies, as well as increased risks of infectious disease spread through the globalization and interconnectedness of the world necessitates its use for predicting, preventing and controlling emerging infectious diseases.•Considering the present situation in China, IoT based smart disease surveillance systems have the potential to be a major breakthrough in efforts to control the current pandemic. With much of the infrastructure itself in place already (i.e. smartphones, wearable technologies, internet access) the role this technology can have in limiting the spread of the pandemic involves only the collection and analysis of data already gathered.•More research must be carried out for the development of automated and effective alert systems to provide early and timely detection of outbreaks of such diseases in order to reduce morbidity mortality and prevent global spread.

Matched MeSH terms: Smartphone
Fulltext Chromozone: iOS-based exercise heart rate application using universal colour-coding system

Adam Linoby, Jamiaton Kusrin, Muhammad Iskandar Asraff, Muhammad Azamuddin Rodzi, Sufyan Zaki, Hosni Hasan

Jurnal Inovasi Malaysia, 2020;4(1):193-208.
MyJurnal

The conventional heart rate monitor is usually developed with a numeric digital display. This numerical view is obviously not practical to be used during exercise. In this study, the iOS-based mobile application, called Chromozone, was developed to monitor heart rate using the universal color-coding system. The heart rate monitor during the exercise is designed to notify the exercise intensity information to users using the three universal color-coded (i.e. green zone: optimal heart rate; yellow zone: heart rate lower than the optimal zone, and red zone: heart rate higher than the optimal zone). Chromozone is programmed to display uniform colors across the smart phone display, which allows users to easily be informed in regards to the state of exercise intensity. The transfer of heart rate data from the chest transmitter to Chromozone application is designed to use Bluetooth Low Energy (BLE) system technology. The heart rate data is then processed by the application to determine the intensity range of exercise training heart rate based on the user’s personal input (i.e. age, gender, fitness levels and training objective). Preliminary analysis found that Chromozone application is effective in delivering real-time exercise intensity heart rate. Chromozone could potentially help athletes, active individuals and clinical populations to monitor and regulate their workout training regime in a more effective and safer manner.

Matched MeSH terms: Smartphone
Fulltext Content analysis of mobile health applications on diabetes mellitus

Izahar S, Lean QY, Hameed MA, Murugiah MK, Patel RP, Al-Worafi YM, et al.

Front Endocrinol (Lausanne), 2017;8:318.
PMID: 29230195 DOI: 10.3389/fendo.2017.00318

Diabetes self-management offers an opportunity to patients to be actively involved in managing their conditions and modifying lifestyle behaviors to attain positive health outcomes. With the unprecedented growth of mobile technology, smartphone plays a role in supporting diabetes self-management. Nonetheless, selecting appropriate mobile applications (apps) is challenging for patients. Thus, this study aimed to evaluate and compare the contents and features of mobile medical apps for diabetes self-management. Of 346 commercial apps, 16 (16%) and 19 (7.72%) of the diabetes apps found in Apple and Google Play stores, respectively, were included based on the selection criteria and individually scored for the availability of 8 main features of diabetes self-management. The apps supported self-management by offering features such as free installation, less than 50 MB space used, offline use, automated data entry, data export and sharing, educational tool, and advice. Of the 8 evaluated features, only 11 (31.4%) apps had a score of 5 whereas 7 (20%) apps scored the lowest, with a score of 3. The majority of apps were free, required no Internet connectivity to use and were less than 50 MB in size. Our findings showed that the design of diabetes mobile apps focused on reporting and setting reminders, rather than providing personalized education or therapeutic support. In the future, the design of apps could be improved to integrate patients' needs, usability for disease management, and lifestyle modifications.

Matched MeSH terms: Smartphone
Fulltext Effectiveness of a Novel Smartphone Health Education Intervention in Enhancing Knowledge, Attitudes, and Practices for the Prevention of Respiratory Tract Infections Among Private Hajj Pilgrims From Malaysia

Goni MD, Naing NN, Hasan H, Wan-Arfah N, Deris ZZ, Arifin WN, et al.

Front Public Health, 2021;9:594204.
PMID: 34277530 DOI: 10.3389/fpubh.2021.594204

This study was aimed to develop and evaluate the efficacy of a health education program for increasing knowledge, changing attitudes, and promoting prevention practices to reduce the incidence of RTIs among Malaysian Hajj pilgrims. A quasi-experimental study was done among 130 Hajj pilgrims attending Hajj orientation course organized by a private Hajj tour companies. Hajj pilgrims assigned to intervention group (n = 65) and control group (n = 65). Data were collected baseline and after return from Hajj using a validated questionnaire. Mixed design repeated measure ANOVA was used to analyse the effect of group, time, and group-time interaction on the dependent variables. There was a significant improvement in knowledge, attitude and practice scores in the intervention group compared to the control group. Based on the findings of the interaction of time and group, there was a significant statistical difference for post intervention for knowledge (p = 0.005), attitude (p = 0.041), and practice (p = 0.002). The newly-established health education intervention smartphone application was effective in improving KAP toward RTIs prevention among pilgrims.

Matched MeSH terms: Smartphone
Fulltext Optimized parameters of wastewater treatment system using fuzzy control

Ilanur Muhaini Mohd Noor, Muhamad Kamal Mohammed Amin

Journal of Advanced Research in Applied Sciences and Engineering Technology, 2017;5(2):27-35.
MyJurnal

This paper aim is to design an education kit for wastewater system that can maintain
the standard parameters of neutralized wastewater by maintaining the suitable pH
(Potential Hydronium) level and temperature of the wastewater from industry by using
fuzzy controller. This study is capable to control the unwanted bacteria by automatic
regulatory and monitoring the temperature, pH and water level. Fuzzy logic method is
use to control and monitor pH level as well as the temperature during clarifying process
because pH control process is a complex physical-chemistry process of strong
individuality of time-varying and non-linearity properties. Pumps used in the prototype
need to be controlled precisely to enable either acid or base to be pumped into mix
tank of the wastewater treatment. The control and monitoring system, which has been
designed through LabVIEW front panel will ease end user in inspection of the
parameters involve in wastewater treatment. The entire system output could be
observed remotely in Data Dashboard application in smartphone or tablet. The GUI
was designed and interfaced with the prototype constructed to carry out the process
of controlling and monitoring the required parameters. Few tests were conducted
repetitively to analyse the performance of the system parameters. It was found that
the controlled set point fixed within the range of pH 7.6-8.4, temperature 25-29.44
Celsius and water level of 20cm in this research that was effectively achieved in the
entire test conducted. In addition, the wastewater system accuracy and performance
is 96.72% and 90.22% respectively.

Matched MeSH terms: Smartphone
Fulltext SenseCrypt: A Security Framework for Mobile Crowd Sensing Applications

Pius Owoh N, Mahinderjit Singh M

Sensors (Basel), 2020 Jun 09;20(11).
PMID: 32526843 DOI: 10.3390/s20113280

The proliferation of mobile devices such as smartphones and tablets with embedded sensors and communication features has led to the introduction of a novel sensing paradigm called mobile crowd sensing. Despite its opportunities and advantages over traditional wireless sensor networks, mobile crowd sensing still faces security and privacy issues, among other challenges. Specifically, the security and privacy of sensitive location information of users remain lingering issues, considering the "on" and "off" state of global positioning system sensor in smartphones. To address this problem, this paper proposes "SenseCrypt", a framework that automatically annotates and signcrypts sensitive location information of mobile crowd sensing users. The framework relies on K-means algorithm and a certificateless aggregate signcryption scheme (CLASC). It incorporates spatial coding as the data compression technique and message query telemetry transport as the messaging protocol. Results presented in this paper show that the proposed framework incurs low computational cost and communication overhead. Also, the framework is robust against privileged insider attack, replay and forgery attacks. Confidentiality, integrity and non-repudiation are security services offered by the proposed framework.

Matched MeSH terms: Smartphone
The association of smartphone addiction, sleep quality and perceived stress amongst Jordanian dental students

Sanusi SY, Al-Batayneh OB, Khader YS, Saddki N

Eur J Dent Educ, 2022 Feb;26(1):76-84.
PMID: 33527620 DOI: 10.1111/eje.12674

INTRODUCTION: Smartphone addiction has been associated with sleeping problems and psychological anxiety. However, little is known about the association of smartphone addiction, sleep quality and perceived stress amongst university students particularly in dentistry. This study investigated the association of these variables amongst dental students in a Jordanian dental faculty.
MATERIALS AND METHODS: A sample of 420 undergraduate dental students enrolled for academic year 2017/2018 at the Jordan University of Science and Technology participated in this study. They were given a set of self-administered questionnaires which consisted of questions regarding demographic information, characteristics of smartphone use, assessment of smartphone addiction, sleep quality as well as perceived stress.
RESULTS: The mean Smartphone Addiction Scale (SAS) score amongst Jordanian dental students was high (109.9 ± 23.8). The correlation between SAS and Global Pittsburg Sleep Quality Index (PSQI) score was significant (r = 0.137, P =0.005) indicating that the higher the smartphone addiction level, the poorer the quality of sleep. Similarly, a significant correlation was found between Perceived Stress Scale-10 (PSS-10) score and Global PSQI score (r = 0.348, P

Matched MeSH terms: Smartphone
Fulltext Smartphone usage and increased risk of mobile phone addiction: A concurrent study

Parasuraman S, Sam AT, Yee SWK, Chuon BLC, Ren LY

Int J Pharm Investig, 2017 Jul-Sep;7(3):125-131.
PMID: 29184824 DOI: 10.4103/jphi.JPHI_56_17

Objective: This study aimed to study the mobile phone addiction behavior and awareness on electromagnetic radiation (EMR) among a sample of Malaysian population.

Methods: This online study was conducted between December 2015 and 2016. The study instrument comprised eight segments, namely, informed consent form, demographic details, habituation, mobile phone fact and EMR details, mobile phone awareness education, psychomotor (anxious behavior) analysis, and health issues. Frequency of the data was calculated and summarized in the results.

Results: Totally, 409 respondents participated in the study. The mean age of the study participants was 22.88 (standard error = 0.24) years. Most of the study participants developed dependency with smartphone usage and had awareness (level 6) on EMR. No significant changes were found on mobile phone addiction behavior between the participants having accommodation on home and hostel.

Conclusion: The study participants were aware about mobile phone/radiation hazards and many of them were extremely dependent on smartphones. One-fourth of the study population were found having feeling of wrist and hand pain because of smartphone use which may lead to further physiological and physiological complication.

Matched MeSH terms: Smartphone
Nano-palladium-decorated bismuth sulfide microspheres on a disposable electrode integrated with smartphone-based electrochemical detection of nitrite in food samples

Promsuwan K, Saichanapan J, Soleh A, Saisahas K, Samoson K, Wangchuk S, et al.

Food Chem, 2024 Jul 30;447:138987.
PMID: 38518621 DOI: 10.1016/j.foodchem.2024.138987

Nitrite (NO2-) is widely used as an additive to extend the shelf life of food products. Excessive nitrite intake not only causes blood-related diseases but also has the potential risk of causing cancers. A disposable screen-printed electrode was modified with nano‑palladium decorated bismuth sulfide microspheres (nanoPd@Bi2S3MS/SPE), and integrated with a smartphone-interfaced potentiostat to develop a portable, electrochemical nitrite sensor. NanoPd@Bi2S3MS was prepared by the hydrothermal reduction of a Bi2S3MS and Pd2+ dispersion and drop cast on the SPE. The nanoPd@Bi2S3MS/SPE was coupled with a smartphone-controlled portable potentiostat and applied to determine nitrite in food samples. The linear range of the sensor was 0.01-500 μM and the limit of detection was 0.0033 μM. The proposed system showed good repeatability, reproducibility, catalytic stability, and immunity to interferences. The proposed electrode material and a smartphone-based small potentiostat created a simple, portable, fast electrochemical sensing system that accurately measured nitrite in food samples.

Matched MeSH terms: Smartphone
Exploring the feasibility of smartphone cameras for 3D modelling of bite patterns in forensic dental identification

Kurniawan A, Hamdani J, Chusida A, Utomo H, Rizky BN, Prakoeswa BFWR, et al.

Leg Med (Tokyo), 2024 Mar;67:102399.
PMID: 38219704 DOI: 10.1016/j.legalmed.2024.102399

The field of bitemark analysis involves examining physical alterations in a medium resulting from contact with teeth and other oral structures. Various techniques, such as 2D and 3D imaging, have been developed in recent decades to ensure precise analysis of bitemarks. This study assessed the precision of using a smartphone camera to generate 3D models of bitemark patterns. A 3D model of the bite mark pattern was created using 3Shape TRIOSTM and a smartphone camera combined with monoscopic photogrammetry. The mesiodistal dimensions of the anterior teeth were measured using Rapidform Explorer and OrtogOnBlender, and the collected data were analyzed using IBM® SPSS® Statistics version 23.0. The mean mesiodistal dimension of the anterior teeth, as measured on the 3D model from 3Shape TRIOSTM and smartphone cameras, was found to be 6.95 ± 0.7667 mm and 6.94 ± 0.7639 mm, respectively. Statistical analysis revealed no significant difference between the two measurement methods, p > 0.05. The outcomes derived from this study unequivocally illustrate that a smartphone camera possessing the specific parameters detailed in this study can create a 3D representation of bite patterns with an accuracy level on par with the outputs of a 3D intraoral camera. These findings underscore the promising trajectory of merging smartphone cameras and monoscopic photogrammetry techniques, positioning them as a budget-friendly avenue for 3D bitemark analysis. Notably, the monoscopic photogrammetry methodology assumes substantial significance within forensic odontology due to its capacity for precise 3D reconstructions and the preservation of critical measurement data.

Matched MeSH terms: Smartphone
Fulltext FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography

Kirimtat A, Krejcar O, Selamat A, Herrera-Viedma E

BMC Bioinformatics, 2020 Mar 11;21(Suppl 2):88.
PMID: 32164529 DOI: 10.1186/s12859-020-3355-7

BACKGROUND: In biomedicine, infrared thermography is the most promising technique among other conventional methods for revealing the differences in skin temperature, resulting from the irregular temperature dispersion, which is the significant signaling of diseases and disorders in human body. Given the process of detecting emitted thermal radiation of human body temperature by infrared imaging, we, in this study, present the current utility of thermal camera models namely FLIR and SEEK in biomedical applications as an extension of our previous article.
RESULTS: The most significant result is the differences between image qualities of the thermograms captured by thermal camera models. In other words, the image quality of the thermal images in FLIR One is higher than SEEK Compact PRO. However, the thermal images of FLIR One are noisier than SEEK Compact PRO since the thermal resolution of FLIR One is 160 × 120 while it is 320 × 240 in SEEK Compact PRO.
CONCLUSION: Detecting and revealing the inhomogeneous temperature distribution on the injured toe of the subject, we, in this paper, analyzed the imaging results of two different smartphone-based thermal camera models by making comparison among various thermograms. Utilizing the feasibility of the proposed method for faster and comparative diagnosis in biomedical problems is the main contribution of this study.

Matched MeSH terms: Smartphone
Fulltext Impact of a Health Education Intervention on the Incidence of Influenza-Like Illnesses (ILI) During Hajj via Smartphone Application

Goni MD, Hasan H, Naing NN, Wan-Arfah N, Deris ZZ, Arifin WN, et al.

J Immigr Minor Health, 2023 Aug;25(4):870-881.
PMID: 36695987 DOI: 10.1007/s10903-022-01443-4

This study was aimed at demonstrating the impact of a health education intervention on reducing the incidence of influenza-like illnesses symptoms among Malaysian Hajj pilgrims. This study utilizes a quasi-experimental study in the evaluation of the impact of the intervention. Participants were recruited during Hajj orientation courses organized by private Hajj companies. Participants from two companies were assigned to an intervention group and control group, respectively. The intervention group received a smartphone-based health education intervention guided by the Health Belief Model (HBM), while the control group received a regular Hajj guide intervention smartphone application before departure to Hajj. Data on the incidence of influenza-like illnesses (ILI) were collected from participants from two Hajj companies before and after returning from Hajj. Data analysis was conducted using SPSS with descriptive analysis, and analytical tests were conducted at 5% significance level. A total of 102 pilgrims completed the study in both intervention and control groups. The incidence of ILI and Non-ILI symptoms were statistically significant when the intervention and control groups (p = 0.049) were compared. In conclusion, health education has an impact on reducing the incidence of ILI and non-ILI among Hajj pilgrims.

Matched MeSH terms: Smartphone
Fulltext The reciprocal relationships between meaning in life and smartphone addiction among Chinese college students: evidence from a three-wave cross-lagged panel model

Zhao H, Song T, Rafik-Galea S, Dong J, Fitriana M, Ji Y, et al.

Front Public Health, 2023;11:1202741.
PMID: 37521981 DOI: 10.3389/fpubh.2023.1202741

BACKGROUND: Previous cross-sectional studies have shown that meaning in life (MIL) is closely associated with college students' smartphone addiction (SA), but the causal relationship between MIL and college students' SA is uncertain. Therefore, conducting a longitudinal study to explore their relationship is very necessary. Furthermore, some studies have implied possible gender differences in the relationship between MIL and SA and the relationship between SA and MIL. Therefore, it is necessary to further examine whether there are gender differences in the above relationships.
METHODS: The present study constructed a three-wave cross-lag panel model to explore the relationships between MIL and college students' SA. Three waves of data were collected from 705 college students (male: 338; female: 367) in China for three consecutive years, and the interval of data collection was 1 year. These college students completed the same online questionnaire regarding MIL and SA.
RESULTS: (1) The MIL of male college students was significantly stronger than that of female college students at time 1, time 2, and time 3, (2) Female college students' SA at time 1, time 2, and time 3 was more serious than that of male college students, (3) There were reciprocal relationships between MIL and college students' SA, (4) The influence of MIL on female college students' SA was significantly stronger than that of male college students, and (5) The influence of SA on female college students' MIL was significantly stronger than that of male college students.
CONCLUSION: This study showed reciprocal relationships between MIL and SA among male college students and female college students. The findings further deepen our understanding of the relationship between MIL and SA and provide a gender perspective for preventing or intervening with college students' SA.

Matched MeSH terms: Smartphone
Fulltext Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis

Cao W, Kadir AA, Tang W, Wang J, Yuan J, Hassan II

BMC Med Inform Decis Mak, 2024 Jan 02;24(1):6.
PMID: 38167316 DOI: 10.1186/s12911-023-02391-1

BACKGROUND: Although smartphone usage is ubiquitous, and a vast amount of mobile applications have been developed for chronic diseases, mobile applications amongst stroke survivors remain unclear.
OBJECTIVE: This systematic review and meta-analysis aimed to determine the effectiveness of mobile applications on medication adherence, functional outcomes, cardiovascular risk factors, quality of life and knowledge on stroke in stroke survivors.
METHODS: A review of the literature was conducted using key search terms in PubMed, EMBASE, Cochrane and Web of Science databases until 16 March 2023 to identify eligible randomized controlled trials (RCTs) or controlled clinical trial (CCTs) of mobile application interventions among stroke survivors. Two reviewers independently screened the literature in accordance with the eligibility criteria and collected data from the articles included. Outcomes included medication adherence,functional outcomes,cardiovascular risk factors, quality of life,and knowledge of stroke.
RESULTS: Twenty-three studies involving 2983 participants across nine countries were included in this review. Sixteen trials involved health care professionals in app use, and seven trials reported measures to ensure app-based intervention adherence. Mobile applications targeting stroke survivors primarily encompassed three areas: rehabilitation, education and self-care. The participants in the studies primarily included young and middle-aged stroke survivors. Meta-analysis results demonstrated that mobile application intervention significantly improved trunk control ability (mean differences [MD] 3.00, 95% CI [1.80 to 4.20]; P

Matched MeSH terms: Smartphone
Fulltext Reliability of smartphone images to assess plaque score among preschool children: a pilot study

Vijyakumar M, Ashari A, Yazid F, Rani H, Kuppusamy E

J Clin Pediatr Dent, 2024 Mar;48(2):143-148.
PMID: 38548644 DOI: 10.22514/jocpd.2024.042

This study assessed the reliability of smartphone images of plaque-disclosed anterior teeth for evaluating plaque scores among preschool children. Additionally, the reliability of plaque scores recorded from smartphone images of anterior teeth in representing the overall clinical plaque score was also assessed. Fifteen preschool children were recruited for this pilot study. The Simplified Debris Index (DI-S), the debris component of the Simplified Oral Hygiene Index, was used to record the plaque score. A plaque-disclosing tablet was used to disclose the plaque before the plaque score recording. Following that, the image of the anterior teeth (canine to canine) of both the upper and lower arch was captured using the smartphone. Each child had three different DI-S recorded. For the first recording of the overall clinical DI-S, the plaque score was recorded clinically from index teeth 55 (buccal), 51 (labial), 65 (buccal), 71 (labial), 75 (lingual) and 85 (lingual). For the second recording, anterior clinical DI-S, the plaque score was recorded clinically from the labial surfaces of six anterior teeth only (53, 51, 63, 73, 71 and 83). Two weeks later, anterior photographic DI-S (third recording) was done using the smartphone images of the same index teeth used for the second recording. The intra-class correlation coefficient (ICC) was calculated to evaluate the reliability of smartphone images in assessing plaque scores. The results showed high reliability (ICC = 0.987) between anterior clinical and anterior photographic examinations, indicating that smartphone images are highly reliable for evaluating plaque scores. Similarly, high reliability (ICC = 0.981) was also found for comparison between overall clinical DI-S and anterior photographic DI-S, indicating plaque scores recorded from smartphone images of anterior teeth alone can represent the overall clinical plaque score. This study suggests that smartphone images can be a valuable tool for remote screening and monitoring of oral hygiene in preschool children, contributing to better oral health outcomes.

Matched MeSH terms: Smartphone

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