Elderly people's perceptions on the use of mobile phones to support the self-management of long-term illnesses at Kiruddu National Referral Hospital.

Introduction: The global estimate of the aging population is progressively increasing in low and middle-income countries and this is accompanied by the limitations associated with the need for equitable and efficient healthcare delivery among this dire population. Unfortunately, despite the increasing numbers, the adoption of mobile phones is not balanced in the different populations with research showing young persons' adoption rate is higher than that of elderly persons. Objective: This current study was conducted to identify elderly people's perceptions of the use of mobile phones to support the self-management of long-term illnesses at Kiruddu National Referral Hospital. Methods: This descriptive-cross-sectional design study was conducted on a sample population of 30 elderly individuals older than 60 years admitted at the outpatient department of Kiruddu National Referral Hospital, Kampala, Uganda. We conducted face-to-face interviews following an interview guide and one focus group discussion. We later used a feature mobile phone and a tablet mobile phone to assess the individual ease of use of each device. The audio recordings were professionally transcribed and transcripts were coded into NVIVO version 12 analysis software for thematic analysis. Results: Almost all of the respondents who visited the facility had an ailment that hindered their full utilization of the mobile phone to support their self-care. This together with other factors like financial constraints, lack of support from the health workers on how to use mobile phones to support health, inadequate support from the facility, and cost of mobile data among others. Background and Conclusion: This study provides empirical evidence that there is hardly a known mobile phone adoption model to enable policymakers, systems developers, and health workers to promote the elderly population's use of mobile phones to manage their long-term illnesses in Uganda.

The interplay of psychological resilience and adolescent mobile phone addiction in Henan province, China: insights from latent class analysis.

Background: The aim of this study was to classify distinct subgroups of adolescents based on the severity levels of their mobile phone addiction and to investigate how these groups differed in terms of their psychosocial characteristics. We surveyed a total of 2,230 adolescents using three different questionnaires to assess the severity of their mobile phone addiction, stress, anxiety, depression, psychological resilience, and personality. Latent class analysis was employed to identify the subgroups, and we utilized Receiver Operating Characteristic (ROC) curves and multinomial logistic regression for statistical analysis. All data analyses were conducted using SPSS 26.0 and Mplus 8.5. Methods: We classified the subjects into subgroups based on their mobile phone addiction severity, and the results revealed a clear pattern with a three-class model based on the likelihood level of mobile phone addiction (p < 0.05). We examined common trends in psychosocial traits such as age, grade at school, parental education level, anxiety levels, and resilience. ROC analysis of sensitivity versus 1-specificity for various mobile phone addiction index (MPAI) scores yielded an area under the curve (AUC) of 0.893 (95% CI, 0.879 to 0.905, p < 0.001). We also determined diagnostic value indices for potential cutoff points ranging from 8 to 40. The optimal cutoff value for MPAI was found to be >14, which corresponded to the maximum Youden index (Youden index = 0.751). Results: The latent classification process in this research confirmed the existence of three distinct mobile phone user groups. We also examined the psychosocial characteristics that varied in relation to the severity levels of addiction. Conclusion: This study provides valuable insights into the categorization of adolescents based on the severity of mobile phone addiction and sheds light on the psychosocial characteristics associated with different addiction levels. These findings are expected to enhance our understanding of mobile phone addiction traits and stimulate further research in this area.

Intervention fidelity and factors affecting the process of implementing a mobile phone text messaging intervention among adolescents living with HIV: a convergent mixed-methods study in southern Ethiopia.

OBJECTIVE: To assess the intervention fidelity and explore contextual factors affecting the process of implementing a mobile phone text messaging intervention in improving adherence to and retention in care among adolescents living with HIV, their families and their healthcare providers in southern Ethiopia. DESIGN: A convergent mixed-methods design guided by the process evaluation theoretical framework and the Reach, Effectiveness, Adoption, Implementation and Maintenance framework was used alongside a randomised controlled trial to examine the fidelity and explore the experiences of participants in the intervention. SETTING: Six hospitals and five health centres provide HIV treatment and care to adolescents in five zones in southern Ethiopia. PARTICIPANTS: Adolescents (aged 10-19), their families and their healthcare providers. INTERVENTION: Mobile phone text messages daily for 6 months or standard care (control). RESULTS: 153 participants were enrolled in the process evaluation. Among the 153 enrolled in the intervention arm, 78 (49.02%) were male and 75 (43.8%) were female, respectively. The mean and SD age of the participants is 15 (0.21). The overall experiences of implementing the text messages reminder intervention were described as helpful in terms of treatment support for adherence but had room for improvement. During the study, 30 700 text messages were sent, and fidelity was high, with 99.4% successfully delivered text messages during the intervention. Barriers such as failed text messages delivery, limitations in phone ownership and technical limitations affected fidelity. Technical challenges can hinder maintenance, but a belief in the future of digital communication permeates the experiences of the text message reminders. CONCLUSIONS: Overall fidelity was high, and participants' overall experiences of mobile phone text messages were expressed as helpful. Contextual factors, such as local telecommunications networks and local electric power, as well as technical and individual factors must be considered when planning future interventions. TRIAL REGISTRATION NUMBER: PACTR202107638293593.

The effects of mobile phone addiction on bedtime procrastination in university students: the masking effect of physical activity and anxiety.

PURPOSE: Good sleep is one of the necessary conditions to ensure the normal performance of the physiological and psychological functions of college students. This study aimed to explore the relationship between mobile phone addiction and bedtime procrastination among Chinese college students and the mediating mechanisms of physical exercise and anxiety between the two, with a view to seek ways to prevent and intervene in college students' sleep procrastination and improve their sleep quality. METHODS: Using SPSS 29.0 analysis with Bootstrap's method, 3,800 first-year students, sophomores, and juniors were given the Mobile Phone Addiction Tendency Scale, Bedtime Procrastination Scale, Physical Activity Scale, and Anxiety Scale. The results of the analyses included mediation tests and effect analyses of anxiety and physical activity. RESULTS: The correlation analysis revealed significant positive correlations between mobile phone addiction and bedtime procrastination (r = 0.149, p < 0.01) as well as anxiety (r = 0.497, p < 0.01). Additionally, there was a significant negative correlation between mobile phone addiction and physical activity (r = -0.447, p < 0.01). Physical activity was also found to have significant negative correlations with anxiety (r = -0.506, p < 0.01) and bedtime procrastination (r = -0.424, p < 0.01). Furthermore, anxiety showed a significant positive correlation with bedtime procrastination (r = 0.334, p < 0.01). Physical activity and anxiety acted as substantial mediators between mobile phone addiction and nighttime procrastination. Both mediators had considerable masking effects, with the mediating effect amounting to 50.3% and 25.1%, respectively. Physical exercise and anxiety played a chain mediating role between mobile phone addiction and bedtime procrastination, and the masking effect was also significant, with a mediating effect size of 13.4%. CONCLUSIONS: This study reveals the special characteristics of the influencing factors and pathways of bedtime procrastination in this group of college students, providing targeted evidence for the prevention and intervention of bedtime procrastination in college students. It also has an important reference value for the effects of exercise and comprehensive intervention to improve bedtime procrastination and enhance the quality of sleep in college students.

Maternal health service utilization in the Jimma Zone, Ethiopia: results from a baseline study for mobile phone messaging interventions.

BACKGROUND: Over the last 20 years, global healthcare has placed a major focus on improving the survival rates of mothers and children, recognizing the potential to prevent a significant number of deaths resulting from pregnancy and childbirth. Nevertheless, there remains an ongoing obstacle to the insufficient utilization of critical obstetric services to achieve optimal health outcomes for pregnant women. This study aimed to assess the magnitude and determinants of maternal healthcare use in the Jimma Zone, Ethiopia. METHODS: Data were obtained from a household survey as part of the baseline assessment of a cluster randomized controlled trial. The study participants comprised 588 women in early pregnancy, specifically those with a gestational age of less than 20 weeks. Logistic regression analysis was employed to identify factors associated with the use of maternal health services. Adjusted odds ratios (AORs) were used to assess the strength of the associations, with significance level set at a p-value ≤ 0.05. RESULTS: The overall prevalence of maternal health service utilization was 87.9% (CI: 85.1, 90.4) for antenatal care, 74.7% (CI: 73.2, 79.9) for health facility delivery, and 60.4% (CI: 56.4, 64.3) for postnatal care. Multivariable logistic analysis revealed that maternal health service use was significantly influenced by access to health facilities (AOR: 6.6; 95% CI: 2.39, 18.16), financial hardship (AOR: 3; 95% CI: 1.97, 4.61), perceived respectful care (AOR: 2.3; 95% CI: 1.07, 5.11), perceived privacy of service provisions (AOR: 2.4; 95% CI: 1.47, 4.06), and attitudes toward maternal service use (AOR: 2.2; 95% CI: 1.48, 3.24). CONCLUSIONS: The study revealed slightly higher rates of antenatal care, facility delivery, and postpartum care utilization. However, there was a low proportion of early antenatal care initiation, and high rates of antenatal care dropout. Mobile phone-based messaging intervention may enhance maternal health service use by addressing factors such as lack of access, economic challenges, disrespectful care, no privacy of procedures, and unfavorable attitudes.

Man versus machine: cost and carbon emission savings of 4G-connected Artificial Intelligence technology for classifying species in camera trap images.

Timely and accurate detection and identification of species are crucial for monitoring wildlife for conservation and management. Technological advances, including connectivity of camera traps to mobile phone networks and artificial intelligence (AI) algorithms for automated species identification, can potentially improve the timeliness and accuracy of species detection and identification. Adoption of this new technology, however, is often seen as cost-prohibitive as it has been difficult to calculate the cost savings or qualitative benefits over the life of the program. We developed a decision tool to quantify potential cost savings associated with incorporating the use of mobile phone network connectivity and AI technologies into monitoring programs. Using a feral cat eradication program as a case study, we used our decision tool to quantify technology-related savings in costs and carbon emissions, and compared the accuracy of AI species identification to that of experienced human observers. Over the life of the program, AI technology yielded cost savings of $0.27 M and when coupled with mobile phone network connectivity, AI saved $2.15 M and 115,838 kg in carbon emissions, with AI algorithms outperforming human observers in both speed and accuracy. Our case study demonstrates how advanced technologies can improve accuracy and cost-effectiveness and improve monitoring program efficiencies.

Demographic characteristics and trends of cell phone use while driving citations in selected states in the United States, 2010-2020.

OBJECTIVE: Distracted driving is a leading cause of motor vehicle crashes, and cell phone use is a major source of in-vehicle distraction. Many states in the United States have enacted cell phone use laws to regulate drivers' cell phone use behavior to enhance traffic safety. Numerous studies have examined the effects of such laws on drivers' cell phone use behavior based on self-reported and roadside observational data. However, little was known about who actually violated the laws at the enforcement level. This study sought to uncover the demographic characteristics of drivers cited for cell phone use while driving and whether these characteristics changed over time since the enactment of cell phone laws. METHODS: We acquired useable traffic citation data for 7 states in the United States from 2010 to 2020 and performed descriptive and regression analyses. RESULTS: Male drivers were cited more for cell phone use while driving. Handheld and texting bans were associated with a greater proportion of cited drivers aged 40 and above, compared to texting-only bans. Trends in the citations issued based on drivers' age group following the enactment of different cell phone laws were also uncovered. The proportion of citations issued to drivers aged 60 and above increased over time but the temporal trend remained insignificant when population effect was considered. CONCLUSIONS: This study examined the demographic characteristics of drivers cited for cell phone use while driving in selected states with texting-only bans or handheld and texting bans. The results reveal policy-based differences in trends in the proportion of citations issued to drivers in different age groups.

Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.

The growing urban population and traffic congestion underline the importance of building pedestrian-friendly environments to encourage walking as a preferred mode of transportation. However, a major challenge remains, which is the absence of such pedestrian-friendly walking environments. Identifying locations and routes with high pedestrian concentration is critical for improving pedestrian-friendly walking environments. This paper presents a quantitative method to map pedestrian walking behavior by utilizing real-time data from mobile phone sensors, focusing on the University of Moratuwa, Sri Lanka, as a case study. This holistic method integrates new urban data, such as location-based service (LBS) positioning data, and data clustering with unsupervised machine learning techniques. This study focused on the following three criteria for quantifying walking behavior: walking speed, walking time, and walking direction inside the experimental research context. A novel signal processing method has been used to evaluate speed signals, resulting in the identification of 622 speed clusters using K-means clustering techniques during specific morning and evening hours. This project uses mobile GPS signals and machine learning algorithms to track and classify pedestrian walking activity in crucial sites and routes, potentially improving urban walking through mapping.

Does behavior mediate the effect of weather on SARS-CoV-2 transmission? evidence from cell-phone data.

There is growing evidence that weather alters SARS-CoV-2 transmission, but it remains unclear what drives the phenomenon. One prevailing hypothesis is that people spend more time indoors in cooler weather, leading to increased spread of SARS-CoV-2 related to time spent in confined spaces and close contact with others. However, the evidence in support of that hypothesis is limited and, at times, conflicting. We use a mediation framework, and combine daily weather, COVID-19 hospital surveillance, cellphone-based mobility data and building footprints to estimate the relationship between daily indoor and outdoor weather conditions, mobility, and COVID-19 hospitalizations. We quantify the direct health impacts of weather on COVID-19 hospitalizations and the indirect effects of weather via time spent indoors away-from-home on COVID-19 hospitalizations within five Colorado counties between March 4th 2020 and January 31st 2021. We also evaluated the evidence for seasonal effect modification by comparing the results of all-season (using season as a covariate) to season-stratified models. Four weather conditions were associated with both time spent indoors away-from-home and 12-day lagged COVID-19 hospital admissions in one or more season: high minimum temperature (all-season), low maximum temperature (spring), low minimum absolute humidity (winter), and high solar radiation (all-season & winter). In our mediation analyses, we found evidence that changes in 12-day lagged hospital admissions were primarily via the direct effects of weather conditions, rather than via indirect effects by which weather changes time spent indoors away-from-home. Our findings do not support the hypothesis that weather impacted SARS-CoV-2 transmission via changes in mobility patterns during the first year of the pandemic. Rather, weather appears to have impacted SARS-CoV-2 transmission primarily via mechanisms other than human movement. We recommend further analysis of this phenomenon to determine whether these findings generalize to current SARS-CoV-2 transmission dynamics, as well as other seasonal respiratory pathogens.

Analyzing post-COVID-19 demographic and mobility changes in Andalusia using mobile phone data.

This work studies changes in the demographics of the different spatial units that make up the Andalusia region in Spain throughout the year 2021, with the aim of seeing the progressive recovery of the population after the COVID-19 pandemic. Mobile phone data from Origin-Destination matrices has been used, due to the ease of obtaining updated information quickly and constantly. A methodology has been developed to transform the number of travelers into an estimated population without biases, and an interpolation function has been used to take into account all the data available in the year 2021. Results show a direct link between the demographic changes in Andalusia and the removal of the mobility restrictions caused by the COVID-19 pandemic, with an increase of non-related work mobility and a decrease of static population. Travel distances between home and work places are also affected, with an increase of long trips after the end of the mobility restrictions. In addition, different patterns have been visualized, such as the concentration of commuting in the metropolitan areas of the region during working days, the population growth in rural areas during weekends, or the population displacement to coastal areas in summer.

Jalinan Kasih android mobile phone application improves knowledge, attitude, and practice regarding early marriage among high school students: Evidence from quasi-experimental study.

Child marriage has a significant health impact on young mothers and their offspring. This study aims to compare the effectiveness of the Jalinan Kasih Android-based application, the Marriage Age Maturity (PUP) module, and the lecture method in improving knowledge, attitude, and practice regarding early marriage among high school students. A quasi-experiment with control groups was conducted, involving 72 students selected from three high schools in Bengkulu City, Indonesia who met the inclusion criteria. The participants were divided into three groups: 24 individuals in the application intervention group, 24 individuals in the module intervention group, and 24 individuals in the control group. The Jalinan Kasih application group showed an increase in average scores before and after the intervention, in terms of knowledge (6.46), attitude (6.79) and practice (1.75), with a p-value of 0.000, 0.000 and 0.17, respectively, The Jalinan Kasih application had a greater influence on knowledge, attitude and practice compared to the PUP module and the lecture method with a p-value of 0.000. In other words, the Jalinan Kasih mobile application was effective in improving the knowledge, attitude, and practice of high school students regarding early marriage through the use of its contents and consultation feature. It is recommended that the Jalinan Kasih application be used as an educational medium to prevent early marriage and improves family planning.

Le mariage des enfants a un impact significatif sur la santé des jeunes mères et de leur progéniture. Cette étude vise à comparer l'efficacité de l'application basée sur Android Jalinan Kasih, du module Marriage Age Maturity (PUP) et de la méthode magistral pour améliorer les connaissances, l'attitude et la pratique concernant le mariage précoce chez les lycéens. Une quasi-expérience avec des groupes témoins a été menée, impliquant 72 étudiants sélectionnés dans trois lycées de la ville de Bengkulu, en Indonésie, qui répondaient aux critères d'inclusion. Les participants ont été divisés en trois groupes : 24 personnes dans le groupe d'intervention d'application, 24 personnes dans le groupe d'intervention du module et 24 personnes dans le groupe témoin. Le groupe d'application Jalinan Kasih a montré une augmentation des scores moyens avant et après l'intervention, en termes de connaissances (6,46), d'attitude (6,79) et de pratique (1,75), avec des valeurs p de 0,000, 0,000 et 0,17, respectivement. L'application Jalinan Kasih a eu une plus grande influence sur les connaissances, l'attitude et la pratique par rapport au module PUP et à la méthode magistral avec une valeur p de 0,000. En d'autres termes, l'application mobile Jalinan Kasih a été efficace pour améliorer les connaissances, l'attitude et la pratique des lycéens concernant le mariage précoce grâce à l'utilisation de son contenu et de sa fonction de consultation. Il est recommandé d'utiliser l'application Jalinan Kasih comme support pédagogique pour prévenir les mariages précoces et améliorer la planification familiale.

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.

Attitudes of female market vendors of reproductive age towards use of mobile phones and access to family planning self-care interventions in Northern Uganda: a cross-sectional study.

BACKGROUND: Mobile phones are potential digital technologies for accessing family planning self-care interventions. However, their utilization could be possible if women of reproductive age have positive attitudes towards the use of this technology for healthcare purposes. This study aimed to examine the relationship between attitudes towards the use of mobile phones and access to family planning self-care interventions among female market vendors of reproductive age in northern Uganda. METHODS: A cross-sectional survey design was used. Two hundred and five randomly selected female vendors from the Gulu city main market participated. A structured researcher-administered questionnaire was used to collect the data. Descriptive statistics and standard multiple regression were performed, and the data were analysed using SPSS software version 15. RESULTS: Of the 205 participants, 112 (54.6%) reported using smartphones, and 147 (71.7%) were aware of family planning self-care interventions. Participants had moderate attitudes towards access to family planning self-care interventions (mean = 3.18), positive attitudes towards ease of use (mean = 3.31) and usefulness of mobile phones (mean = 3.30), strong positive attitudes towards privacy (mean = 4.04), and skills associated with using mobile phones (mean = 4.04). Furthermore, significant positive relationships existed between ease of use (p value = 0.000), skills (p value = 0.001), privacy (p value = 0.002) and access to family planning self-care interventions. There was, however, an insignificant positive relationship between mobile phone usefulness and access to family planning self-care interventions (p value = 0.189). CONCLUSIONS: Participants' positive attitudes towards the use of mobile phones could lead to access to FP self-care interventions, although uncertainty about the usefulness of the use of mobile phones for accessing FP self-care interventions exists. It is therefore important for healthcare practitioners, health development partners and the government to encourage and integrate the use of mHealth into regular FP self-care services and promotional activities while targeting underserved communities in Uganda.

ITC-Net-blend-60: a comprehensive dataset for robust network traffic classification in diverse environments.

OBJECTIVES: Recognition of mobile applications within encrypted network traffic holds considerable effects across multiple domains, encompassing network administration, security, and digital marketing. The creation of network traffic classifiers capable of adjusting to dynamic and unforeseeable real-world settings presents a tremendous challenge. Presently available datasets exclusively encompass traffic data obtained from a singular network environment, thereby restricting their utility in evaluating the robustness and compatibility of a given model. DATA DESCRIPTION: This dataset was gathered from 60 popular Android applications in five different network scenarios, with the intention of overcoming the limitations of previous datasets. The scenarios were the same in the applications set but differed in terms of Internet service provider (ISP), geographic location, device, application version, and individual users. The traffic was generated through real human interactions on physical devices for 3-15 min. The method used to capture the traffic did not require root privileges on mobile phones and filtered out any background traffic. In total, the collected dataset comprises over 48 million packets, 450K bidirectional flows, and 36 GB of data.

Returners and explorers dichotomy in the face of natural hazards.

Understanding human mobility patterns amid natural hazards is crucial for enhancing urban emergency responses and rescue operations. Existing research on human mobility has delineated two primary types of individuals: returners, who exhibit a tendency to frequent a limited number of locations, and explorers, characterized by a more diverse range of movement across various places. Yet, whether this mobility dichotomy endures in the context of natural hazards remains underexplored. This study addresses this gap by examining anonymized high-resolution mobile phone location data from Lee County, Florida residents, aiming to unravel the dynamics of these distinct mobility groups throughout different phases of Hurricane Ian. The results indicate that returners and explorers maintained their distinct mobility characteristics even during the hurricane, showing increased separability. Before the hurricane, returners favored shorter trips, while explorers embarked on longer journeys, a trend that continued during the hurricane. However, the hurricane heightened people's inclination to explore, leading to a notable increase in longer-distance travel for both groups, likely influenced by evacuation considerations. Spatially, both groups exhibited an uptick in trips towards the southern regions, away from the hurricane's path, particularly converging on major destinations such as Miami, Fort Lauderdale, Naples, and West Palm Beach during the hurricane.

The utility of telematics data for estimating the prevalence of driver handheld cellphone use, 2019-2022.

INTRODUCTION: Driver distraction from handheld cellphone use contributes to fatal crashes every year but is underreported in terms of the proportion of crashes attributed to any distraction or cellphone use specifically. Existing methods to estimate the prevalence of cellphone distractions are also limited (e.g., observing drivers stopped at intersections, when crash risk is low). Our study used data from Cambridge Mobile Telematics to estimate the prevalence of drivers' handheld calls and cellphone manipulation while driving, with "cellphone motion" based on movement recorded by the phones' gyroscopes used as a surrogate for manipulation. METHOD: We compared the telematics measures with the National Highway Traffic Safety Administration's roadside observations of driver electronic device use, and logistic regression tested relationships between regional, legislative, and temporal factors and the odds of cellphone behaviors occurring on a trip or at a given point in time. RESULTS: Results showed 3.5% of trips included at least one handheld phone call and 33.3% included at least an instance of cellphone motion, with handheld calls occurring during 0.78% of overall trip duration and cellphone motion during 2.4% of trip duration. CONCLUSIONS: Correspondence between trends in cellphone distractions across regional, legislative, and temporal factors suggest telematics data have considerable utility and appear to complement existing datasets.

Religious proximity and misinformation: Experimental evidence from a mobile phone-based campaign in India.

We investigate how religion concordance influences the effectiveness of preventive health campaigns. Conducted during the early stages of the COVID-19 pandemic in two major Indian cities marked by Hindu-Muslim tensions, we randomly assigned a representative sample of slum residents to receive either a physician-delivered information campaign promoting health-related preventive practices, or uninformative control messages on their mobile phones. Messages, introduced by a local citizen (the sender), were cross-randomized to start with a greeting signaling either a Hindu or a Muslim identity, manipulating religion concordance between sender and receiver. We found that doctor messages increased compliance with recommended practices and beliefs in their efficacy. Our findings suggest that the campaign's impact is primarily driven by shared religion between sender and receiver, leading to increased message engagement and compliance with recommended practices. Additionally, we observe that religion concordance helps protect against misinformation.

Effects of Recall and Selection Biases on Modeling Cancer Risk From Mobile Phone Use: Results From a Case-Control Simulation Study.

BACKGROUND: The largest case-control study (Interphone study) investigating glioma risk related to mobile phone use showed a J-shaped relationship with reduced relative risks for moderate use and a 40% increased relative risk among the 10% heaviest regular mobile phone users, using a categorical risk model based on deciles of lifetime duration of use among ever regular users. METHODS: We conducted Monte Carlo simulations examining whether the reported estimates are compatible with an assumption of no effect of mobile phone use on glioma risk when the various forms of biases present in the Interphone study are accounted for. Four scenarios of sources of error in self-reported mobile phone use were considered, along with selection bias. Input parameters used for simulations were those obtained from Interphone validation studies on reporting accuracy and from using a nonresponse questionnaire. RESULTS: We found that the scenario simultaneously modeling systematic and random reporting errors produced a J-shaped relationship perfectly compatible with the observed relationship from the main Interphone study with a simulated spurious increased relative risk among heaviest users (odds ratio = 1.91) compared with never regular users. The main determinant for producing this J shape was higher reporting error variance in cases compared with controls, as observed in the validation studies. Selection bias contributed to the reduced risks as well. CONCLUSIONS: Some uncertainty remains, but the evidence from the present simulation study shifts the overall assessment to making it less likely that heavy mobile phone use is causally related to an increased glioma risk.