Behavioral Intention to Use a Smartphone Usage Management Application Between a Non-Problematic Smartphone Use Group and a Problematic Use Group

Internet addiction and its effects on psychological wellbeing: A community-based study

Background

The internet has become an essential part of life, and it has both beneficial and detrimental effects. There is a plethora of evidence relating to the effect of internet addiction on psychological health. There is also an unmet need to lay the foundation for the differences in usage and the effects on mental health in regard to the use of the internet for rural and urban students.

Materials and Methods

The present study was conducted on 200 adolescent subjects belonging to the urban and rural areas around the city of Varanasi to establish the pattern of use of the internet as well as its psychological implications. The participants were evaluated upon the Internet Addiction Test (IAT) and General Health Questionnaire-12 (GHQ-12), and information pertaining to socio-demographics as well as accessory information related to internet usage were captured through semi-structured proforma.

Results

The results indicated no significant differences in the pattern of internet usage (mean IAT score) as well as psychological health (mean GHQ-12) between urban and rural youth. There was a significant positive association between the overall severity of internet use with poor psychological health (GHQ-12 score). There was a significant difference in the overall mean age as well as the mean age of onset of internet use between both groups (rural versus urban). This study highlighted an important issue of the digital divide based on gender-wise differences in the pattern in the overall sample.

Conclusion

This study highlighted the important differences in the pattern of internet use among the rural and urban populations with its clinical implication being a need to educate the youth regarding the healthy use of technology.

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application "MorChana" in Thailand: UTAUT2 Approach

COVID-19 contact-tracing mobile applications have been some of the most important tools during the COVID-19 pandemic. One preventive measure that has been incorporated to help reduce the virus spread is the strict implementation of utilizing a COVID-19 tracing application, such as the MorChana mobile application of Thailand. This study aimed to evaluate the factors affecting the actual usage of the MorChana mobile application. Through the integration of Protection Motivation Theory (PMT) and Unified Theory of Acceptance and Use of Technology (UTAUT2), latent variables such as performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), habit (HB), perceived risk (PCR), self-efficacy (SEF), privacy (PR), trust (TR), and understanding COVID-19 (U) were considered to measure the intention to use MorChana (IU) and the actual usage (AU) of the mobile application. This study considered 907 anonymous participants who voluntarily answered an online self-administered survey collected via convenience sampling. The results show that IU presented the highest significant effect on AU, followed by HB, HM, PR, FC, U, SEF, PE, EE, TR, and SI. This is evident due to the strict implementation of using mobile applications upon entering any area of the vicinity. Moreover, PCR was not seen to be a significant latent factor affecting AU. This study is the first to have evaluated mobile contact tracing in Thailand. The integrated framework can be applied and extended to determine factors affecting COVID-19 tracing applications in other countries. Moreover, the findings of this study could be applied to other health-related mobile applications worldwide.