Reliability and construct validity of the smartphone addiction scale short version (SAS-SV) in Iranian students

Validation of the self-reported diagnosis of diabetes mellitus, hypercholesterolemia, and hypertension in Iran; STEPS 2016

Purpose

As a part of STEPwise approach to risk factor Surveillance (STEPS) study, our aim was to evaluate the validity of the self-reported diagnosis of diabetes (DM), hypertension (HTN), and hypercholesterolemia (Hyper-Chol) in the Iranian population.

Methods

Using systematic proportional to size cluster sampling, 27,232 participants were included in our study. We calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) to assess the validity of self-reported diagnoses. Furthermore, logistic regression was employed to examine the relationship between the validity of self-reported diagnoses and sociodemographic and lifestyle factors. All analyses were performed using STATA version 14.

Results

The PPV for self-report of DM, HTN, and Hyper-Chol were estimated to be 69%, 74% and 80%, and NPV measured up to 95%, 84%, and 50%, respectively. Positive/negative self-reports were more accurate among older (younger) individuals. Age had a negative correlation with the validity of self-reported Hyper-Chol but a positive correlation with the validity of self-reported DM and hypertension HTN. Additionally, an increase in BMI was associated with an increase/decrease in PPV and a decrease/increase in NPV across all diseases.

Conclusion

Self-report studies hold value in situations where direct in-person interaction is not feasible, either due to prohibitive costs or restrictions imposed by infectious diseases (COVID-19). Self-report surveys are valuable tools in studying the epidemiology of diseases; however, the type of the disease, the study purpose, either finding sick people or healthy people, the age subgroups, and socioeconomic status should be taken into consideration.

The relationship between smartphone addiction and aggression among Lebanese adolescents: the indirect effect of cognitive function

BACKGROUND

Despite a large body of research has shown that smartphone addiction (SA) is associated with aggressive behaviors, only a few mediators have been previously examined in this relationship among early adolescent students. No previous studies have explored, to our knowledge, the indirect role of cognitive function despite its great importance during this life period. This study is intended to verify whether cognitive function have indirect effects on the relationship between SA and aggression among high-school students in the context of Lebanese culture.

METHODS

This was a cross-sectional designed study, conducted between January and May 2022, and enrolling 379 Lebanese adolescent students (aged 13-17 years). The Cognitive Functioning Self-Assessment Scale, the Buss-Perry Aggression Questionnaire-Short Form, and the Smartphone Addiction Scale-Short form were used.

RESULTS

The bivariate analysis results revealed that higher SA and worse cognitive function were significantly associated with more physical aggression, verbal aggression, anger and hostility. The mediation analyses found that cognitive function mediated the association between SA and physical aggression, verbal aggression, anger and hostility. Higher SA was significantly associated with worse cognitive function and more physical aggression, verbal aggression, anger and hostility. Finally, worse cognitive function was significantly associated with more physical aggression, verbal aggression, anger and hostility.

CONCLUSION

Our findings cautiously suggest that, to reduce adolescent students' aggression, interventions that promote cognitive performance may be effective. Particularly, students who are addicted to smartphones and show aggressive tendencies require interventions designed to improve cognition function.

Influence of smartphone use motives on smartphone addiction during the COVID-19 epidemic in China: the moderating effect of age

With the development of science and technology, the phenomenon of smartphone addiction has become very common. However, smartphone addiction has adverse consequences. To date, few studies have examined psychological crises and smartphone use motives during the coronavirus disease 2019 (COVID-19) pandemic according to age. Therefore, this study aimed to examine the influences of different types of smartphone use motives on smartphone addiction and explore the moderating effect of age on adolescents and adults. A total of 1346 participants (600 adults and 746 adolescents) completed questionnaires on their motives for smartphone use and smartphone addiction. Results indicated significant positive correlations between smartphone use motives and smartphone addiction. In the moderation model, mood regulation, social relations, pastime, and conformity significantly and directly predicted smartphone addiction; however, perceived enjoyment did not. Age played a moderating role in the prediction of smartphone addiction. Teenagers and adults have different motives for smartphone use, and different motives have different effects on adolescents and adults. Adolescents have higher coping motivation and conformity motivation than adults, and for adolescents, perceived pleasure motivation has a significant impact on smartphone addiction. For adults, perceived pleasure and social relationship motivation have a significant impact on smartphone addiction. Therefore, interventions for smartphone addiction can be developed by investigating the motives of use among different people, and age should be considered when developing interventions for smartphone addiction.