Cognitive failures and hand/neck discomfort: Does smartphone addiction contribute?

Background: Due to the emergence of smartphone addiction, as a 21th century phenomenon, investigating its subsequent negative effects is essential.

Objective: The present study aims to test the predicting effect of smartphone addiction on musculoskeletal discomfort in hand/neck region as well as cognitive failures.

Methods: A cross-sectional study was designed in which 533 smartphone users (60.

The mediating role of sleep quality between pre-sleep portable media device use and nursing performance.

The prevalence of portable media device (PMD) use has proliferated, potentially causing serious problems, particularly in critical situations. The main aim of the present study was to investigate the relationship between pre-sleep PMD use and cognitive performance, as well as the mediating effects of sleep quality among nurses. A cross-sectional study was designed, with 200 registered nurses voluntarily participating.

The effect of obesity phenotype changes on cardiovascular outcomes in adults older than 40 years in the prospective cohort of the Tehran lipids and glucose study (TLGS): joint model of longitudinal and time-to-event data.

Background: Obesity is a worldwide health concern with serious clinical effects, including myocardial infarction (MI), stroke, cardiovascular diseases (CVDs), and all-cause mortality. The present study aimed to assess the association of obesity phenotypes and different CVDs and mortality in males and females by simultaneously considering the longitudinal and survival time data.

Methods: In the Tehran Lipid and Glucose Study (TLGS), participants older than three years were selected by a multi-stage random cluster sampling method and followed for about 19 years.

Association between metabolic syndrome and myocardial infarction among patients with excess body weight: a systematic review and meta-analysis.

Background: Cardiovascular diseases (CVDs) are a major cause of morbidity and mortality worldwide. Controversial views exist over the effects of metabolically unhealthy obesity phenotypes on CVDs. This study aimed to perform a meta-analysis to assess the association between metabolic syndrome and myocardial infarction (MI) among individuals with excess body weight (EBW).

Classification and Diagnostic Prediction of Colorectal Cancer Mortality Based on Machine Learning Algorithms: A Multicenter National Study.

Introduction: Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths. This study aimed to predict survival outcomes of CRC patients using machine learning (ML) methods.

Material And Methods: A retrospective analysis included 1853 CRC patients admitted to three prominent tertiary hospitals in Iran from October 2006 to July 2019.