scholarly journals Smartphone addiction is associated with symptoms of anxiety, depression, stress, tension, confusion, and insomnia: A cross-sectional and comparative study with physically and non-physically active adults in self-isolation during the COVID-19 pandemic

Salud Mental ◽  
2021 ◽  
Vol 44 (4) ◽  
pp. 193-200
Author(s):  
Luiz José Frota Solon Júnior ◽  
Carlos Henrique Tomaz Ribeiro ◽  
Leonardo de Sousa Fortes ◽  
Bruno Teixeira Barbosa ◽  
Luiz Vieira da Silva Neto

Introduction. During the novel coronavirus disease (COVID-19) outbreak, social media exposure and the use of electronic devices have increased; still, these behaviors may cause adverse health effects. Objective. This study assessed sleep quality, insomnia, mood, and psychological aspects among physically (n = 46) and non-physically (n = 53) active individuals during self-isolation throughout the COVID-19 pandemic and examined their association with smartphone addiction. Method. A cross-sectional study was conducted among adult Brazilian citizens in self-isolation for at least 60 days; ninety-nine volunteers from different Brazilian regions were enrolled in the online survey. The Depression, Anxiety and Stress Scale-Short Form, the Pittsburgh Sleep Quality Index, the Insomnia Severity Index, the Brunel Mood Scale, and the Smartphone Addiction Scale-Short Version were used to assess the study outcomes. Results. The results indicate moderate and large correlations of smartphone addiction with mood subscales, insomnia (r = .52), anxiety (r = .49), depression (r = .49), and stress (r = .49) symptoms. Also, it was observed that physically active participants were less addicted to smartphones than the non-physically active during self-isolation (p

2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2021 ◽  
Vol 12 ◽  
Author(s):  
Christian Montag ◽  
Cornelia Sindermann ◽  
Dmitri Rozgonjuk ◽  
Shixin Yang ◽  
Jon D. Elhai ◽  
...  

The present study investigates links between fear of COVID-19, the personality trait of neuroticism, social networks use disorder, and smartphone use disorder (SNUD and SmUD, respectively) tendencies. In an online survey, N = 932 participants recruited at a Chinese University (237 males and 695 females) completed self-reports on fear of COVID-19, neuroticism (and other personality traits from the Big Five Inventory-44), the Bergen Social Media Addiction Scale (assessing tendencies toward SNUD), and the Smartphone Addiction Scale short version—assessing individual differences in tendencies toward SmUD.Our findings showed that all variables of main interest were positively correlated with each other. A mediation model suggested that SNUD (in parts) mediated the association between fear of COVID-19 and SmUD. Although neuroticism was robustly correlated with all mentioned variables, no moderation effect could be observed on the investigated fear-of-COVID-19-SNUD-link.The findings of this work provide further evidence that the smartphone itself is only a device giving individuals access to software applications, which might be excessively used. Beyond that, the present data indicate neuroticism to be a risk factor with respect to fear of COVID-19, SNUD, and SmUD, although the study is limited by its cross-sectional study design.


2021 ◽  
Vol 12 ◽  
Author(s):  
Sei Yon Sohn ◽  
Lauren Krasnoff ◽  
Philippa Rees ◽  
Nicola J. Kalk ◽  
Ben Carter

Background: In a large UK study we investigated the relationship between smartphone addiction and sleep quality in a young adult population.Methods: We undertook a large UK cross-sectional observational study of 1,043 participants aged 18 to 30 between January 21st and February 30th 2019. Participants completed the Smartphone Addiction Scale Short Version, an adapted Pittsburgh Sleep Quality Score Index and reported smartphone use reduction strategies using both in-person (n = 968) and online (n = 75) questionnaires. A crude and adjusted logistic regression was fitted to assess risk factors for smartphone addiction, and the association between smartphone addiction and poor sleep.Results: One thousand seventy one questionnaires were returned, of which 1,043 participants were included, with median age 21.1 [interquartile range (IQR) 19–22]. Seven hundred and sixty three (73.2%) were female, and 406 reported smartphone addiction (38.9%). A large proportion of participants disclosed poor sleep (61.6%), and in those with smartphone addiction, 68.7% had poor sleep quality, compared to 57.1% of those without. Smartphone addiction was associated with poor sleep (aOR = 1.41, 95%CI: 1.06–1.87, p = 0.018).Conclusions: Using a validated instrument, 39% young adults reported smartphone addiction. Smartphone addiction was associated with poor sleep, independent of duration of usage, indicating that length of time should not be used as a proxy for harmful usage.


Author(s):  
Elluru Venkatesh ◽  
Mohammad Yousef Al Jemal ◽  
Abdullah Saleh Al Samani

Abstract Purpose The main aim of this research is to explore measures of smart phone usage, smart phone addiction, and their associations with demographic and health behavior-related variables among dental students in Saudi Arabia. Methods A Cross sectional study involving sample of 205 dental students from Qaseem Private College were surveyed for smart phone use and addiction using the short version of the Smartphone Addiction Scale for Adolescents (SAS-SV). Results Smart phone addiction was seen in 136 (71.9%) of the 189 students. The findings from our study revealed that high stress levels, low physical activity, higher body mass index (BMI), longer duration of smart phone usage, higher frequency of usage, shorter time period until first smart phone use in the morning and social networking sites (SNS) were associated significantly with the smart phone addiction. Conclusion The current research gives the information about the extent of smart phone over usage and addiction among the dental students in Saudi Arabia with indication of the predictors of addiction and the need for further research in the area with comprehensible interpretation to spread the awareness of the smart phone addiction.


Author(s):  
Adil M. AL Mahrooqi ◽  
Talal A. AL Agbari ◽  
Asma S. AL Shidhani

Background: The aim of this study is to identify the prevalence of smartphone addiction and its correlation with depression among Higher College of Technology students in Oman.Methods: A cross-sectional study was conducted in the Higher College of Technology, Oman. A self-reported questionnaire was distributed electronically to students between January and February 2017. The questionnaire contained a validated short version of the smartphone addiction scale (SAS-SV) and a validated Arabic version of the Patient Health Questionnaire-9 (PHQ-9), along with a single question to self-assess smartphone addiction.Results: With a response rate of 86.2%, a total of 376 students were considered, of whom 34.6% were males and 65.4% were females, with an overall mean age of 20.9 years. This study showed that the prevalence of smartphone addiction in the study population using the SAS-SV was 63.8%; 88.3% of students were using their smartphones for four hours or more per day and 80% had been using smartphones for more than four years. The overall depression rate was 32.2%. As the total depression score increased by 1 point, the smartphone addiction score increased by 0.428 points (p<0.005). The prevalence of smartphone addiction was 54.9% among those who had no depression, 80.3% among those who had mild depression, 75.9% among those who had moderate depression, and 96.2% among those who have severe depression (p<0.005).Conclusions: This study shows high smartphone addiction levels based on SAS-SV scores and found a significant positive correlation between smartphone addiction score and depression scores.


Author(s):  
Ubaidullah Abid ◽  
Tooba Jawed Khan ◽  
Asif Sheikh ◽  
Saud Saleem ◽  
Hammad Afzal Kayani ◽  
...  

Background: Pakistan demographic and health survey (PDHS) estimated extensive ownership of cell phones in Pakistan with 94.7% in the urban population. Pakistan Advertiser Company reported 77 % of cell phone users aged between 21-30 years. Although, no research was conducted with university population for addiction and depression, so this study aims to find the link between Smartphone addiction and depression in SZABIST University students of Karachi, Pakistan.Methods: Cross-sectional study was conducted with self-assessment tools, comprised of three sections: socio-demographic information, smartphone addiction scale-short version (SAS-SV) and Beck’s depression inventory-II (BDI-II). Responses for SAS-SV were rated on a 6-point Likert scale and BDI-II was summated on range 0-60. Percentages mean score was commuted for SAS-SV; the mean score was computed and categorized for BDI-II. Descriptive statistics and regression analysis were used for data analysis. Statistical significance was set at p<0.01.Results: Total participants were N=225, of which 140 (62.2%) were males and 85 (35.8%) were females. The mean±SD of their ages were 20.9±2.9. Age was found insignificant with depression after applying multiple linear regressions. Mean score of SAS-SV was 54.8±17.2, and BDI-II was13.4±9.6, which showed a significant positive association (OR, 0.241; 95% CI, 0.2 to 0.3; p<0.001). Prior adjusting coefficient, males were speculated having a higher level of depression.Conclusions: A significant positive correlation was found between Smartphone addiction and depression, among University Students of SZABIST. Control smartphones usage is advised for undergraduate students as they are more prone to depression compared to postgraduate students.


Author(s):  
Manasi S. Vaidya ◽  
Sonal R. Deshpande

Background: The afoot COVID-19 pandemic has covered approximately every edge of the world. Schools and colleges are temporarily shut leading to children being indoors. Thus, gadgets have become an inseparable part of life and govern the daily routine of an individual. The aim of the study was to assess the pattern of gadget usage and sleep quality among medical undergraduates during COVID-19 lockdown.Methods: Present cross-sectional study was conducted amongst 149 medical undergraduates of Shri Vasantrao Naik Govt. Medical College, Yavatmal. Their gadget usage pattern and sleep quality before and during lockdown were measured using a predesigned and pretested questionnaire based on Smartphone addiction scale-short version (SAS-SV) and Pittsburgh sleep quality index (PSQI), administered via the Google forms platform.Results: 139 (93.28%) responses were completely and correctly filled. Smartphone addiction was seen in 71 (51.08%) study subjects. The mean sleep duration before and during lockdown had no significant changes. There was linear positive correlation between SAS-SV score and PSQI score, but the correlation was not statistically significant.Conclusions: The proportion of smartphone addiction amongst medical undergraduates is significantly high and the mean sleep duration is reduced during lockdown.


Author(s):  
Mahesh D. Kurugodiyavar ◽  
Sushma H. R. ◽  
Maneesha Godbole ◽  
Manjunath S. Nekar

Background: Smartphone with its various functionalities has become an essential part of our daily activities and its use has been increasing. This has raised concern about its overuse and addiction especially in students. It is known that poor sleep is very common among medical students; there are many studies on sleep quality and its determinants in medical students but very few relating sleep quality and smartphone addiction. The main objective of this study was to investigate the relationship between smartphone use severity and sleep quality among medical students of KIMS, Hubballi. Methods: A cross‑sectional study on sample of 240 undergraduate medical students KIMS, Hubballi was conducted. Students were assessed using a self-administered questionnaire, Smart phone addiction scale (SAS) and Pittsburgh sleep quality inventory (PSQI). SAS score and PSQI scores were co-related. Hierarchical regression analyses were conducted to identify the variables independently associated with level of sleep quality. Results: Out of 240 subjects 117 (48.75%) were poor sleepers & 123 (51.25%) were good sleepers according to PSQI global sleep score. According to SAS score 123 (51.2%) were low users and 117 (48.75%) were high users of Smart phone. The mean (SD) PSQI global score was 4.8 (2.49) and mean (SD) SAS score was 102.93 (22.13). There was positive correlation between SAS score & PSQI score (r=0.343, p<0.001). Gender (β=0.141, p=0.021) & SAS score (β=0.292, p<0.001) were the significant predictors of global PSQI score. Conclusions: This study concludes that in medical students smartphone addiction affects sleep quality significantly and males are particularly more at risk of having poor sleep quality due to excessive smartphone use.  


Author(s):  
Mohammad-Mehdi Mehrabinejad ◽  
Maryam Saraei ◽  
Abdolkarim Hajighaderi ◽  
Arezu Najafi

Background and Objective: Workplace exposes workers to different hazardous chemicals. In this study, we aimed to assess the changes of pulmonary function test (PFT) parameters as the objective indicator of lung impairment and its association with demographic data and sleep characteristics. Materials and Methods: This cross-sectional study was carried out on 200 male workers of a smelting factory located in Tehran Province, Iran. The respiratory symptoms questionnaire, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and demographic characteristics were recorded for the participants. Participants also underwent spirometry and the related parameters were recorded. Results: A total of 200 iron foundry workers were assessed. All participants were men, and mean ± standard deviation (SD) of age was 39.1 ± 8.9 years ranging from 20 to 65 years. Of 200 workers, 153 (76.5%) were married and 72 (36.0%) were smokers. Among all participants, 131 (65.5%) reported at least one respiratory symptom, and these workers had significantly poorer sleep quality (P = 0.02) and insomnia (P = 0.01). Across-shift change in forced expiratory volume in one second (FEV1) and peak expiratory flow rate (PEFR) of spirometry parameters was significant among participants with clinical insomnia (P = 0.02 and P = 0.04, respectively) and poor sleep quality (P < 0.0001 and P = 0.04, respectively). Conclusion: Results showed a significant cross-shift reduction in PFT values among workers with clinical insomnia or poor sleep quality. Accordingly, evaluation of sleep characteristics along with respiratory symptoms in workers with inhalational occupational exposure is recommended.


2021 ◽  
Vol 19 (2) ◽  
pp. 157-164
Author(s):  
Muneera Almurdi ◽  
◽  
Syamala Buragadda ◽  

Objectives: Menopause is the termination of a woman’s menstrual cycle for a year. In this condition, women’s health status declines due to hormonal changes and aging. Physical Activity (PA) is among the best available alternatives for managing menopause-related symptoms without any adverse effects. This study aimed to assess the relationship between PA and symptoms, such as fatigue, depression, and insomnia in Saudi menopausal women. Methods: This cross-sectional study involved 60 menopausal women; they were divided into physically active and inactive groups. The group allocation was conducted based on their PA level determined by the International Physical Activity Questionnaire Short-Form (IPAQ-SF). Menopausal symptoms, such as fatigue, depression, and insomnia were assessed using the Fatigue Severity Scale (FSS), Beck Depression Inventory-II (BDI-II), and Insomnia Severity Index (ISI), respectively, in the study groups. The association between PA and fatigue, depression, and insomnia was assessed using the Pearson correlation coefficient. The significance level was set at P≤0.05. Results: Fatigue, depression, and insomnia were more prevalent in physically inactive post-menopause women than the active women. A significant difference was observed in the outcome variables between the study groups. Furthermore, a significant association was detected between PA and fatigue, depression, and insomnia in the study participants. Discussion: Half of the explored menopausal women were physically active. Physically active menopausal women presented less fatigue, depression, and insomnia, compared to their inactive counterparts. This study suggested that PA positively impacted menopausal symptoms (fatigue, insomnia, & depression). Besides, the collected results highlighted the importance of physical activity among menopausal women.


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