Smartphone Use and Social Media Involvement in Young Adults: Association with Nomophobia, Depression Anxiety Stress Scales (DASS) and Self-Esteem.

Excessive smartphone use and dependence on social media give rise to multiple issues that negatively affect the overall well-being of individuals. Nomophobia is characterized as a "digital disease" due to the unlimited use of smartphone devices. The aim of this study is to examine smartphone use and social media involvement in association with nomophobia and psychological traits (i.

Nomophobia and Its Association with Depression, Anxiety and Stress (DASS Scale), among Young Adults in Greece.

Smartphones with their numerous applications have become essential daily equipment, prompting scientific research to deal with the impact of their use on psychosocial health. Under this spectrum, the aim of the present cross-sectional study was to examine the association between nomophobia and the negative emotional states of depression, anxiety, and stress, in relation to self-esteem and sociodemographic data, among the young adult population. The study sample consisted of 1408 young adults aged 18-25 years, participating on a voluntary basis with an online anonymous questionnaire.

Prevalence and Factors Related to Nomophobia: Arising Issues among Young Adults.

Nomophobia is characterized as apprehension of being apart from smartphone, which causes the user to seek proximity with the device. The purpose of this study was to explore the prevalence and factors associated to nomophobia among young adults in Athens, the capital city of Greece. A cross-sectional study was performed on a sample of 1408 young adults aged 18-25 years.

Nomophobia and Self-Esteem: A Cross Sectional Study in Greek University Students.

Nomophobia is a relatively new term describing someone's fear, discomfort, or anxiety when his/her smartphone is not available. It is reported that low self-esteem may contribute to an individual's tendency for nomophobia. The aim of this particular study was to investigate the association between nomophobia and self-esteem among Greek university students.

Overestimation of Relative Risk and Prevalence Ratio: Misuse of Logistic Modeling.

The extensive use of logistic regression models in analytical epidemiology as well as in randomized clinical trials, often creates inflated estimates of the relative risk (RR). Particularly, in cases where a binary outcome has a high or moderate incidence in the studied population (>10%), the bias in assessing the relative risk may be very high. Meta-analysis studies have estimated that about 40% of the relative risk estimates in prospective investigations, through binary logistic models, lead to extensive bias of the population parameters.