Use of multimedia devices in pediatric age: risks or advantages? A survey in an Italian center.

BACKGROUND: Nowadays children live in a digital world, exposed to relevant risks for their health and safety. The aim of this study is to investigate the use of multimedia devices in a sample of children and adolescents. METHODS: The study was performed between November 2018 and June 2019 in a third-level University Hospital, recruiting children and adolescents during general or specialistic follow-up visits. Anonymous, age-specific, questionnaires were distributed to 500 children and adolescents and 370 parents. RESULTS: Among children, 25 (17.1%) had their own mobile device, of which 84% Italian. The 54.1% of them uses multimedia devices half an hour/an hour per day and many of them (37.5% of Italian and 40% of foreign) use it without their parents' control. Most of adolescents had a mobile phone since the age of 10-12 years old. WhatsApp (Meta Inc., Cambridge, MA, USA) is the most used social network, followed by Instagram and Facebook. The use of multimedia devices was widespread between teenagers during classroom hours, meals and before sleeping and they are an important mean for cyberbullying. In addition, in the 29.9% of cases there is no correspondence between information given by parents and respective sons/daughters. CONCLUSIONS: This study shows more risks than advantages derived from the use of multimedia devices in children and adolescents. Therefore, it is essential to educate them about their correct and responsible use.

Distracted on duty: A theory-based exploration of influences leading to mobile phone distracted riding among food delivery workers.

Using mobile phones while riding is a form of distracted riding that significantly elevates crash risk. Regrettably, the factors contributing to mobile phone use while riding (MPUWR) among food delivery riders remain under-researched. Addressing this literature gap, the current study employs the Job Demands-Resources (JD-R) model and various socio-economic factors to examine the determinants of MPUWR. The research incorporates data from 558 delivery workers in Hanoi and Ho Chi Minh City, Vietnam. The study utilizes two analytical methods to empirically test the hypotheses, considering non-linear relationships between variables: Partial Least Square Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN). The results reveal mixed impacts of factors connected to job resources. Although social support appears to deter MPUWR, work autonomy and rewards seemingly encourage it. Furthermore, a predisposition towards risk-taking behaviour significantly impacts the frequency of mobile phone usage among delivery riders. Interestingly, riders with higher incomes and those who have previously been fined by the police exhibit more frequent mobile phone use. The findings of this study present valuable insights into the crucial factors to be addressed when designing interventions aimed at reducing phone use among food delivery riders.

Letter to the editor.

Some have looked forward to the publication of the results of the COSMOS study on brain tumors, because the potential biases from retrospective investigations predominating the search for brain tumor risks of mobile phone use since the late 1990 s were deemed unresolvable by further investigations of that type. Indeed, prospective cohort studies typically have the advantage of being not or less affected by differential exposure misclassification, recall and selection bias, and, as they proceed in the direction of the time arrow, results are more easily interpreted in terms of causation. However, results of the COSMOS study published now in this journal are not of help for the risk assessment of mobile phone use and do not support the conclusions of the authors that their findings "suggest that the cumulative amount of mobile phone use is not associated with the risk of developing glioma, meningioma, or acoustic neuroma".

Network analysis of social anxiety and problematic mobile phone use in Chinese adolescents: A longitudinal study.

Social anxiety is a common comorbid factor of problematic mobile phone use, but the relationship between them from the inside structure has been underexplored. This two-wave longitudinal study aims to identify the central symptoms of problematic mobile phone use and social anxiety, respectively, as well as the bridge symptoms between the two disorders. Furthermore, this study examined the time and gender differences. A total of 3,294 Chinese adolescents were recruited during two waves (T1: January 2023; T2: August 2023), and completed the questionnaires of social anxiety and problematic mobile phone use. Through network analysis, the results showed that 1) the central symptom of problematic mobile phone use was "loss of control" both at T1 and T2, 2) the central symptom of social anxiety was "fear of negative evaluation" both at T1 and T2, and 3) the bridge symptom between social anxiety and problematic mobile phone use was "withdrawal" both at T1 and T2. Moreover, the network comparison test indicated that the nodes of social anxiety were more strongly associated with "craving", "loss of control", and "negative life consequences" of problematic mobile phone use at T2 than at T1. The nodes of social anxiety were more strongly associated with "negative life consequences" of problematic mobile phone use for boys than for girls, while the "fear of negative evaluation" was more strongly associated with "loss of control" for girls than for boys. These findings provide new scientific basis for interventions targeting adolescents who are susceptible to social anxiety and problematic mobile phone use.

Cell Phones in the OR: A Cross-Sectional Study of Norwegian Perioperative Nurses' Knowledge, Practice, and Attitudes.

Few studies have focused on the use of cell phones in the OR. In Norway, researchers sought to assess perioperative nurses' knowledge, practice, and attitudes associated with cell phone use in the OR and distributed a nationwide questionnaire via a social media platform. More than 80% of the 332 respondents thought that cell phones were contaminated and that pathogens could contaminate hands. Almost all respondents brought their phone to work; approximately 61% of respondents carried it in their pocket in the OR. Responses to questions about phone cleaning showed that 39 (11.7%) of the respondents routinely cleaned their phone before entering the OR and 33 (9.9%) of the respondents cleaned it when leaving the OR. Less than 20% of respondents indicated their facility had guidelines for cleaning personal cell phones. Opportunities for improvement in cell phone cleaning in ORs exist and additional research involving all perioperative team members is needed.

New insights into grocery store visits among east Los Angeles residents using mobility data.

In this study, we employed spatially aggregated population mobility data, generated from mobile phone locations in 2021, to investigate patterns of grocery store visits among residents east and northeast of Downtown Los Angeles, in which 60% of the census tracts had previously been designated as "food deserts". Further, we examined whether the store visits varied with neighborhood sociodemographics and grocery store accessibility. We found that residents averaged 0.4 trips to grocery stores per week, with only 13% of these visits within home census tracts, and 40% within home and neighboring census tracts. The mean distance from home to grocery stores was 2.2 miles. We found that people visited grocery stores more frequently when they lived in neighborhoods with higher percentages of Hispanics/Latinos, renters and foreign-born residents, and a greater number of grocery stores. This research highlights the utility of mobility data in elucidating grocery store use, and factors that may facilitate or be a barrier to store access. The results point to limitations of using geographically constrained metrics of food access like food deserts.

Impact of mobile phone usage on dynamic postural control among South Indian college students.

BACKGROUND: Smartphones are a technical marvel that rapidly evolved to play an important role in our lives. One downside to smartphone use is that it significantly worsens posture. It is believed that using a smartphone while walking increases the risk of cognitive decline and the loss of dynamic balance needed to perform functional tasks. OBJECTIVE: The objective of the study was to determine the impact of smartphone usage on dynamic postural control among South Indian college students. METHODS: The study was carried out in a private college with 400 invited students through online social media platforms. The four-square step test and SAS-SV were used to determine the impact of smartphone usage on dynamic postural control. The students were informed about the study process. A total of 250 participants were included based on the inclusion criteria. RESULTS: There was a high percentage of agreement on smartphone usage on dynamic postural control measured with SAS-SV, revealing statistical significance with a mean value of 41.532 and SD of 10.010886. The four-square step test with a mean value of 22.5 and SD of 1.8995878 also proved significant impact. A positive correlation was found between smartphone usage and dynamic postural control, which was analysed using Pearson's correlation coefficient of 0.90130. CONCLUSION: A significant correlation was noted between mobile usage and dynamic balance. Smartphones can have a negative impact on dynamic balance by distracting users from their surroundings and increase the risk of falls.

¿Cómo usan el teléfono móvil los niños de Castilla y León? / How do children in Castilla y León use their mobile phones?

Introducción: los teléfonos móviles suponen una gran herramienta de comunicación entre iguales, pero un uso inapropiado puede repercutir en las relaciones familiares, sociales y en el rendimiento escolar. Objetivos: el objetivo principal del trabajo fue estudiar el uso del teléfono móvil en la población pediátrica de varias áreas de salud de Castilla y León. Material y métodos: estudio multicéntrico prospectivo en varios centros de salud y un hospital comarcal. Se pasó una encuesta a padres de niños que acudían a consulta y a los adolescentes que lo desearon, quienes también respondieron a un test de dependencia (TDM). Resultados: el móvil es el dispositivo electrónico que más usaban los niños para navegar por Internet. La media de edad en la que tuvieron el primer móvil propio fue de 10,35 años; la mayoría, con acceso a Internet. El 68% de ellos accedía sin ningún control parental. El 70% de padres establecieron unas normas al proporcionárselo. Un tercio reconocían que estas no se cumplían. El número de horas diarias de uso aumentaba según la edad de los niños. De los adolescentes, más del 50% lo usaba más de dos horas al día. Los más pequeños lo utilizaban para ver vídeos y los mayores para chatear y redes sociales. El uso del móvil se relacionaba con el uso de gafas, pero no con el rendimiento académico, problemas de sueño ni práctica de deporte. En el TDM se observaron muchas respuestas positivas en los ítems de los cuatro apartados en los que se divide el test, especialmente en el de falta de control. Conclusiones: la media de edad de adquisición del primer teléfono móvil propio es menor de la recomendada. Su abuso puede generar conductas con rasgos de adicción (AU)

Introduction: mobile phones are a great communication tool between equals, but inappropriate use can affect family and social relationships and school performance.Objectives: the main objective of this work was to study the use of mobile phones in the pediatric population of several health areas in Castilla y León.Material and methods: prospective multicenter study in several health centers and a regional hospital.A survey was passed to parents of children who attended the consultation, and to adolescents who wished to, who also responded to a dependency test (TDM).Results: the mobile is the electronic device that children used the most to surf the Internet. The average age at which they had their first mobile phone was 10.35 years, most of them with Internet access.68% of them accessed without any parental control. 70% of parents established rules of operating. A third recognized that these rules were not fulfilled.The number of hours per day of use increased with the age of the children. More than 50% of the adolescents used it for more than two hours a day. The little ones used it to watch videos and the older ones to chat and social networks.The use of the mobile phone was related to the use of glasses, but not with academic performance, sleep problems or sports practice.In the TDM many positive responses were observed in the items of the four sections into which the test is divided, especially in the lack of control.Conclusions: the average age for acquiring their first mobile phone is lower than the recommended age. Its abuse can generate behaviors with traits of addiction. (AU)

The Phubbing Scale (PS-8) in the Portuguese population: psychometric properties

Phubbing is defined as ignoring other individuals by using a mobile phone during a face-to-face conversation. The Phubbing Scale (PS) was developed to assess this practice. In this study, we analyze the psychometric properties of the 8-item version of the PS (PS-8) in the Portuguese population, providing validity evidence based on internal structure and on relationships with other variables, and examining item properties, reliability, and measurement invariance across gender. Participants were 391 Portuguese adults (132 men, 259 women) who completed a battery of questionnaires. Confirmatory factor analysis yielded satisfactory goodness-of-fit indices for the two-factor structure (communication disturbance and phone obsession), which was invariant across gender. Item homogeneity and reliability of factor scores (McDonald's omega) were satisfactory. Validity evidence based on relationships with other variables was provided by positive associations with time spent on the Internet on weekdays and at the weekend, time spent on social networking sites, number of social networks used, Internet addiction, problematic mobile phone use, Facebook intrusion, fear of missing out, and depression. These associations show the addictive component of phubbing and its relationship with mental health. The PS-8 is a short and easy-to-administer scale with adequate psychometric properties for measuring phubbing in the Portuguese population. (AU)

O uso de aplicativo de celular para medir frequência cardíaca e saturação periférica de oxigênio / The use of cellular application to measure heart rate and peripheral oxygen saturation

Avaliar a associação da medida de frequência cardíaca (FC) e saturação periférica de oxigênio (SpO2 ) utilizando um aplicativo de celular e um monitor multiparamétrico. Métodos: Estudo experimental e randomizado entre participantes saudáveis. Investigou o aplicativo Samsung Health® e o monitor multiparamétrico da marca Midway®, modelo: PM-60. O estudo foi estruturado em quatro etapas. Para análise estatística, aplicou correlação de Pearson e Spearman, com nível de significância de 5%. Resultados: Dos 150 participantes a idade média foi de 22,3±4,5 anos, o sexo feminino foi predominante (71,3%). Verificouse forte correlação da FC medida pelo monitor com a FC do aplicativo de celular (r=0,93) indicando correlação positiva (p<0,001). A SpO2 medida por monitor multiparamétrico e pelo aplicativo de celular revelou um r=0,05 (p=0,51), o que atesta uma correlação nula e não significativa. Conclusão: Não houve correlação entre a medida da SpO2 do monitor multiparamétrico e do aplicativo Samsung Health®, não sendo confiável a utilização deste aplicativo para monitorar e gerenciar o sinal vital SpO2 em pessoas saudáveis. A FC medida com o aplicativo é significativa, e pode ser utilizada para monitorar e gerenciar esse sinal vital.

Assess the association of the measure of heart rate (HR) and oxygen saturation (SpO2 ) using a mobile application and a multiparameter monitor. Methods: Study experimental and randomized healthy participants. Investigated the application Samsung Health® and multiparameter monitor Midway® make, model: PM-60. The study was divided into four stages. Statistical analysis was applied Pearson and Spearman correlation with 5% significance level. Results: Of the 150 participants average age was 22.3±4.5 years, females were predominant (71.3%). There was a strong correlation HR measured by the monitor application to cell FC (r=0.93) indicating a positive correlation (p<0.001). SpO2 measured by multiparameter monitor and the mobile application revealed r=0.05 (p=0.51), which demonstrates a zero and no significant correlation. Conclusion: There was no correlation between the SpO2 measurement of the multiparameter monitor and the Samsung Health® app, not being trusted to use this application to monitor and manage the vital sign SpO2 in healthy people. The HR measured with the application is significant, and can be used to monitor and manage this vital sign.

Predicting regional COVID-19 hospital admissions in Sweden using mobility data.

The transmission of COVID-19 is dependent on social mixing, the basic rate of which varies with sociodemographic, cultural, and geographic factors. Alterations in social mixing and subsequent changes in transmission dynamics eventually affect hospital admissions. We employ these observations to model and predict regional hospital admissions in Sweden during the COVID-19 pandemic. We use an SEIR-model for each region in Sweden in which the social mixing is assumed to depend on mobility data from public transport utilisation and locations for mobile phone usage. The results show that the model could capture the timing of the first and beginning of the second wave of the pandemic 3 weeks in advance without any additional assumptions about seasonality. Further, we show that for two major regions of Sweden, models with public transport data outperform models using mobile phone usage. We conclude that a model based on routinely collected mobility data makes it possible to predict future hospital admissions for COVID-19 3 weeks in advance.

Low parasite connectivity among three malaria hotspots in Thailand.

Identifying sources and sinks of malaria transmission is critical for designing effective intervention strategies particularly as countries approach elimination. The number of malaria cases in Thailand decreased 90% between 2012 and 2020, yet elimination has remained a major public health challenge with persistent transmission foci and ongoing importation. There are three main hotspots of malaria transmission in Thailand: Ubon Ratchathani and Sisaket in the Northeast; Tak in the West; and Yala in the South. However, the degree to which these hotspots are connected via travel and importation has not been well characterized. Here, we develop a metapopulation model parameterized by mobile phone call detail record data to estimate parasite flow among these regions. We show that parasite connectivity among these regions was limited, and that each of these provinces independently drove the malaria transmission in nearby provinces. Overall, our results suggest that due to the low probability of domestic importation between the transmission hotspots, control and elimination strategies can be considered separately for each region.

Associations between COVID-19 mobility restrictions and economic, mental health, and suicide-related concerns in the US using cellular phone GPS and Google search volume data.

During the COVID-19 pandemic, US populations have experienced elevated rates of financial and psychological distress that could lead to increases in suicide rates. Rapid ongoing mental health monitoring is critical for early intervention, especially in regions most affected by the pandemic, yet traditional surveillance data are available only after long lags. Novel information on real-time population isolation and concerns stemming from the pandemic's social and economic impacts, via cellular mobility tracking and online search data, are potentially important interim surveillance resources. Using these measures, we employed transfer function model time-series analyses to estimate associations between daily mobility indicators (proportion of cellular devices completely at home and time spent at home) and Google Health Trends search volumes for terms pertaining to economic stress, mental health, and suicide during 2020 and 2021 both nationally and in New York City. During the first pandemic wave in early-spring 2020, over 50% of devices remained completely at home and searches for economic stressors exceeded 60,000 per 10 million. We found large concurrent associations across analyses between declining mobility and increasing searches for economic stressor terms (national proportion of devices at home: cross-correlation coefficient (CC) = 0.6 (p-value <0.001)). Nationally, we also found strong associations between declining mobility and increasing mental health and suicide-related searches (time at home: mood/anxiety CC = 0.53 (<0.001), social stressor CC = 0.51 (<0.001), suicide seeking CC = 0.37 (0.006)). Our findings suggest that pandemic-related isolation coincided with acute economic distress and may be a risk factor for poor mental health and suicidal behavior. These emergent relationships warrant ongoing attention and causal assessment given the potential for long-term psychological impact and suicide death. As US populations continue to face stress, Google search data can be used to identify possible warning signs from real-time changes in distributions of population thought patterns.

Genomics, social media and mobile phone data enable mapping of SARS-CoV-2 lineages to inform health policy in Bangladesh.

Genomics, combined with population mobility data, used to map importation and spatial spread of SARS-CoV-2 in high-income countries has enabled the implementation of local control measures. Here, to track the spread of SARS-CoV-2 lineages in Bangladesh at the national level, we analysed outbreak trajectory and variant emergence using genomics, Facebook 'Data for Good' and data from three mobile phone operators. We sequenced the complete genomes of 67 SARS-CoV-2 samples (collected by the IEDCR in Bangladesh between March and July 2020) and combined these data with 324 publicly available Global Initiative on Sharing All Influenza Data (GISAID) SARS-CoV-2 genomes from Bangladesh at that time. We found that most (85%) of the sequenced isolates were Pango lineage B.1.1.25 (58%), B.1.1 (19%) or B.1.36 (8%) in early-mid 2020. Bayesian time-scaled phylogenetic analysis predicted that SARS-CoV-2 first emerged during mid-February in Bangladesh, from abroad, with the first case of coronavirus disease 2019 (COVID-19) reported on 8 March 2020. At the end of March 2020, three discrete lineages expanded and spread clonally across Bangladesh. The shifting pattern of viral diversity in Bangladesh, combined with the mobility data, revealed that the mass migration of people from cities to rural areas at the end of March, followed by frequent travel between Dhaka (the capital of Bangladesh) and the rest of the country, disseminated three dominant viral lineages. Further analysis of an additional 85 genomes (November 2020 to April 2021) found that importation of variant of concern Beta (B.1.351) had occurred and that Beta had become dominant in Dhaka. Our interpretation that population mobility out of Dhaka, and travel from urban hotspots to rural areas, disseminated lineages in Bangladesh in the first wave continues to inform government policies to control national case numbers by limiting within-country travel.

Development and implementation of the Ebola Exposure Window Calculator: A tool for Ebola virus disease outbreak field investigations.

During an Ebola virus disease (EVD) outbreak, calculating the exposure window of a confirmed case can assist field investigators in identifying the source of infection and establishing chains of transmission. However, field investigators often have difficulty calculating this window. We developed a bilingual (English/French), smartphone-based field application to assist field investigators in determining the exposure window of an EVD case. The calculator only requires the reported date of symptoms onset and the type of symptoms present at onset or the date of death. Prior to the release of this application, there was no similar electronic capability to enable consistent calculation of EVD exposure windows for field investigators. The Democratic Republic of the Congo Ministry of Health endorsed the application and incorporated it into trainings for field staff. Available for Apple and Android devices, the calculator continues to be downloaded even as the eastern DRC outbreak resolved. We rapidly developed and implemented a smartphone application to estimate the exposure window for EVD cases in an outbreak setting.

Improving routine immunization data quality using daily short message system reporting platform: An experience from Nasarawa state, Nigeria.

Routine immunization (RI) delivery was declared a public health concern in Nigeria in 2017 because of persistently low immunization coverage rates reported in independent surveys. However, administrative coverage rates remain high, suggesting serious data quality issues. We posit that a shorter timespan between service provision and data reporting can improve the monitoring of RI data, and developed a short message system (SMS) text reporting strategy to generate daily RI data points from health facilities (HFs). The goal was to assess whether daily data collection produces complete, reliable and internally consistent data points. The SMS reporting platform was piloted between December 2017 and April 2018 in two Local Government Areas (LGAs, equivalent to districts) of Nasarawa state, Nigeria. The 145 healthcare workers from 55 HFs received one mobile phone and pre-configured SIM card, and were trained to send data through predefined codes. Healthcare workers compiled the data after each vaccination session and transmitted them via SMS. We analyzed completeness, number of weekly sessions, and supportive supervision conducted. During the pilot phase, we received data from 85% (n = 47) of the 55 HFs. We expected 66 fixed-post sessions and 30 outreach sessions per week, but received data for 33 fixed-post and 8 outreach weekly session on average. More HFs reported on Tuesdays compared to other days of the week. When assessing internal consistency, we observed that the reported number of children vaccinated was sometimes higher than the number of doses available from opening a given number of vaccine vials. When found, this discrepancy was noted for all antigens during fixed-post and outreach vaccination sessions. Despite these initial discrepancies, transmitting RI data sessions via texting is feasible and can provide real-time updates to the performance of the RI services at the HF level.

Mobile-Mediated Communication in Romantic Relationships: The Effects of Communication Indicators and Love Attitude on Relationship Quality.

Whether mobile phones benefit or sabotage close relationships has been a persistent subject of debate in media and communication studies. Because previous studies have demonstrated contrasting findings, further studies on this topic are required. Based on media richness theory and social penetration theory, this study investigated the direct and indirect associations between mobile communication and relationship quality (i.e., depth, support, and conflict) in romantic relationships. A survey of 1,000 university students in China revealed that relationship depth was positively predicted by mobile phone calls and negatively predicted by mobile short messages. Mobile WeChat had dialectical effects, as it reinforced relationship depth and support, but increased conflict. Regarding indirect effects, communication quality online positively mediated the effects of mobile phone calls on relationship quality and negatively mediated the effects of mobile short messages and Weibo on relationship quality. Moreover, passionate love attitudes (PLAs) and gender negatively moderated the effects of mobile phone calls on relationship depth, indicating that females and individuals who had stronger PLAs had lower relationship quality when they used mobile phone calls to interact with their romantic partners. The moderating effects of PLA were extended to the indirect relationship between phone calls and relationship quality through communication quality. Overall, this study developed a typology to examine mobile relational communication by integrating the quantity (i.e., mobile use frequencies) and quality of mobile communication, as well as personal attitudes in close relationships.

Modelling urban vibrancy with mobile phone and OpenStreetMap data.

The concept of urban vibrancy has become increasingly important in the study of cities. A vibrant urban environment is an area of a city with high levels of human activity and interactions. Traditionally, studying our cities and what makes them vibrant has been very difficult, due to challenges in data collection on urban environments and people's location and interactions. Here, we rely on novel sources of data to investigate how different features of our cities may relate to urban vibrancy. In particular, we explore whether there are any differences in which urban features make an environment vibrant for different age groups. We perform this quantitative analysis by extracting urban features from OpenStreetMap and the Italian census, and using them in spatial models to describe urban vibrancy. Our analysis shows a strong relationship between urban features and urban vibrancy, and particularly highlights the importance of third places, which are urban places offering opportunities for social interactions. Our findings provide evidence that a combination of mobile phone data with crowdsourced urban features can be used to better understand urban vibrancy.

Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia.

Twenty-six million people are living with HIV in sub-Saharan Africa; epidemics are widely dispersed, due to high levels of mobility. However, global elimination strategies do not consider mobility. We use Call Detail Records from 9 billion calls/texts to model mobility in Namibia; we quantify the epidemic-level impact by using a mathematical framework based on spatial networks. We find complex networks of risk flows dispersed risk countrywide: increasing the risk of acquiring HIV in some areas, decreasing it in others. Overall, 40% of risk was mobility-driven. Networks contained multiple risk hubs. All constituencies (administrative units) imported and exported risk, to varying degrees. A few exported very high levels of risk: their residents infected many residents of other constituencies. Notably, prevalence in the constituency exporting the most risk was below average. Large-scale networks of mobility-driven risk flows underlie generalized HIV epidemics in sub-Saharan Africa. In order to eliminate HIV, it is likely to become increasingly important to implement innovative control strategies that focus on disrupting risk flows.

Mobile phone use intention while driving among public service vehicle drivers: Magnitude and its social and cognitive determinants.

Despite its risks for accident and illegality, little is known about the magnitude and associated social and cognitive factors that motivate drivers to use mobile phone while driving. The present study, guided by theory of planned behavior, aimed at describing the magnitude of mobile use while driving and examining the role of attitudes, subjective norms, perceived behavioral control, and risk perceptions in predicting drivers' intentions to use mobile phone while driving. A total of 155 public service vehicle drivers, who were selected from Debre Markos Town and its vehicle terminal took part in the study. To select study participants, systematic random sampling technique was employed. The instrument used to collect data was self-report questionnaire. The results indicated that more than two-third (69%) of the participants used their mobile phone while driving over the past week. Hierarchical regression analysis displayed that perceived behavioral control, risk perception, and attitude were found to be the most significant social and cognitive predictors of public service vehicle drivers' intention to use mobile phone while driving, but not age and subjective norm variables. So as to reduce drivers' intention to use mobile phone while driving, intervention strategies should focus on enhancing their confidence to avoid this behavior; alerting drivers to the traffic control regulation and the dangers of using mobile phones while driving.