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COVID-19–Related Social Isolation, Self-Control, and Internet Gaming Disorder Among Chinese University Students: Cross-Sectional Survey

COVID-19–Related Social Isolation, Self-Control, and Internet Gaming Disorder Among Chinese University Students: Cross-Sectional Survey

First, a cross-sectional study design was used that may hardly examine the causal relationships among the measured variables. A longitudinal or cohort study should be used instead to explore the causal effects of social isolation and self-control on IGD. Second, limited sociodemographic characteristics and personality traits (self-control) were investigated.

Yufang Guo, Fangyan Yue, Xiangyu Lu, Fengye Sun, Meixing Pan, Yannan Jia

J Med Internet Res 2024;26:e52978

The Association of Broadband Internet Use With Drug Overdose Mortality Rates in the United States: Cross-Sectional Analysis

The Association of Broadband Internet Use With Drug Overdose Mortality Rates in the United States: Cross-Sectional Analysis

Another limitation is that we do not have data for a longitudinal study that could provide opportunities for examining causal relationships. These limitations notwithstanding, the findings of this study underscore the importance of curbing illegal drug sales via web-based pharmacies and social networks. In addition, it is important for the Food and Drug Administration to monitor the shipping of medications to the United States from other countries.

Ioannis Karakis, Genti Kostandini, Konstantinos Tsamakis, Velma Zahirovic-Herbert

Online J Public Health Inform 2024;16:e52686

Factors Associated With Levels of Public Engagement in Protective Behaviors During the Early COVID-19 Pandemic: Causal-Comparative Study Based on the Health Belief Model

Factors Associated With Levels of Public Engagement in Protective Behaviors During the Early COVID-19 Pandemic: Causal-Comparative Study Based on the Health Belief Model

This cross-sectional study used a causal-comparative design. This design was selected because the groups were predetermined prior to the relationships among the variables of interest being analyzed [16]. Data was collected as part of a large-scale transnational survey where the web-based survey was advertised on social media (Facebook, Instagram, and Google Ads) and the responses were recorded from June 8 to June 29, 2020.

Chia-Chun Tang, Hsi Chen, Shao-Yu Tsai, Wei-Wen Wu

JMIR Hum Factors 2023;10:e49687

Improving Outcomes Through Personalized Recommendations in a Remote Diabetes Monitoring Program: Observational Study

Improving Outcomes Through Personalized Recommendations in a Remote Diabetes Monitoring Program: Observational Study

Various program features were categorized and grouped to form five action categories, otherwise known as interventions per the causal inference formulations (see Textbox 1 for action category descriptions).

Sowmya Kamath, Karthik Kappaganthu, Stefanie Painter, Anmol Madan

JMIR Form Res 2022;6(3):e33329