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Pedestrian Inattention Blindness While Playing Pokémon Go as an Emerging Health-Risk Behavior: A Case Report

Pedestrian Inattention Blindness While Playing Pokémon Go as an Emerging Health-Risk Behavior: A Case Report

As reported by several authors, mobile phone-related injuries among pedestrians lead to increased morbidity due to distracted attention and unsafe behavior during their use, and users risk serious injury, falls, collisions with obstacles, or even death [8,9

Stefania Barbieri, Gianna Vettore, Vincenzo Pietrantonio, Rossella Snenghi, Alberto Tredese, Mauro Bergamini, Sara Previato, Armando Stefanati, Rosa Maria Gaudio, Paolo Feltracco

J Med Internet Res 2017;19(4):e86

A Social Media-Based Acute Alcohol Consumption Behavior (NekNomination): Case Series in Italian Emergency Departments

A Social Media-Based Acute Alcohol Consumption Behavior (NekNomination): Case Series in Italian Emergency Departments

external cues that dictate participants’ alcohol consumption (eg, media games such as drinking each time a character on television says a certain word or phrase).Drinking games inevitably promote heavy alcohol consumption [2] and, compared with other high-risk

Stefania Barbieri, Paolo Feltracco, Vittorio Lucchetta, Rosa Maria Gaudio, Alberto Tredese, Mauro Bergamini, Gianna Vettore, Vincenzo Pietrantonio, Francesco Maria Avato, Daniele Donato, Deris Gianni Boemo, Maria Vittoria Nesoti, Rossella Snenghi

Interact J Med Res 2018;7(1):e2

Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

The qualitative descriptions of the risk calculator were used to develop a framework for quantitative data extraction (risk model, risk result, and presence/absence of risk communication formats), after which an individual researcher (MF) conducted the basic

Carissa Bonner, Michael Anthony Fajardo, Samuel Hui, Renee Stubbs, Lyndal Trevena

J Med Internet Res 2018;20(2):e29

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

In our previous work [21], we have developed a statistical risk stratification model to predict attempt of suicide risk based on EMR data and the model performance was found to be better than clinical predictions based on an 18-point risk assessment instrument

Chandan Karmakar, Wei Luo, Truyen Tran, Michael Berk, Svetha Venkatesh

JMIR Ment Health 2016;3(3):e19

Comment on: Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

Comment on: Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

I am writing regarding the systematic review about clinical validity, understandability, and actionability of online cardiovascular disease (CVD) risk calculators recently published by Dr Bonner and colleagues [1].Although Dr Bonner and colleagues used a comprehensive

Ivan Sisa

J Med Internet Res 2018;20(3):e10093