Effect of Smartphone Addiction on Pregnancy

This study will investigate the effect of smartphone addiction on neck disability during pregnancy and its mediating role on stress. The study will be conducted between September 2023 and April 2024. Data will be collected using the information form, Smartphone Addiction Scale-Short Version (SAS-SV), Perceived Stress Scale (PSS-10) and Neck Disability Index (NDI). Multiple regression and structural equation modeling will be used in the analysis of the data.

Objective: After reviewing the relevant studies, we thought that smartphone addiction may negatively affect neck injury and perceived stress may play a mediating role in this relationship. In this context, our research questions are as follows: * Do smartphone addiction and certain characteristics significantly predict stress in pregnant women? * Do smartphone addiction and certain characteristics significantly predict neck injury in pregnant women? * Does stress have a mediating effect on the relationship between smartphone addiction and neck injury in pregnant women? The research is a cross-sectional, analytical and screening study. The research will be conducted face-to-face with pregnant participants who apply to the pregnancy follow-up clinic of a public hospital and meet the research criteria and voluntarily participate in the research. Verbal and written consent will be obtained from all participants before data collection. The principles of the Declaration of Helsinki will be followed throughout the study. Data of the study will be collected using the Information Form, Smartphone Addiction Scale-Short Version (SAS-SV), Perceived Stress Scale-10 (PSS-10) and Neck Disability Index (NDI). Statistical analyses will be given as mean, standard deviation, median, minimum and maximum. T-tests will be used to compare categorical variables with scale scores, Pearson correlation to examine the relationship between scales and ANOVA to compare scale scores with three or more groups of categorical variables. Linear regression analysis will be used to examine the effects of SAS-SV scores and sociodemographic characteristics on PSS-10 and NDI. In addition, the mediating effect of PSS-10 on SAS-SV and NDI will be examined using a linear regression model. Analysis results will be considered significant at p \< 0.05.