Investigating the impact of university students’ smartphone addiction on their satisfaction with classroom connectedness

2019 ◽  
Vol 24 (6) ◽  
pp. 3523-3535 ◽  
Author(s):  
Kamal Ahmed Soomro ◽  
Sajid Ali Yousuf Zai ◽  
Nasrullah ◽  
Quratul Ain Hina
Keyword(s):  
University Students ◽  
Smartphone Addiction ◽  
Classroom Connectedness ◽  
The Impact

scholarly journals Impact of Smartphone Addiction on Neck Pain and Disability in University Students

2021 ◽  
Author(s):  
Anjali Suresh ◽  
SG Sudhan ◽  
Prasanna Mohan ◽  
A Thangamani Ramalingam
Keyword(s):  
University Students ◽  
Neck Pain ◽  
Neck Disability Index ◽  
The Body ◽  
Smartphone Addiction ◽  
Short Version ◽  
Cross Sectional ◽  
Musculoskeletal Problems ◽  
Neck Disability ◽  
The Impact

Introduction: In the present era, the use of smartphones for teaching, learning and communication for education in India has raised manyfold. The increasing use of smartphones in our daily life has brought about numerous musculoskeletal problems. Impairments of neck are the most common when compared to other parts of the body. Aim: To find out the impact of smartphone addiction on neck pain and disability. Materials and Methods: This cross-sectional study was conducted on students from Garden City University aged between 18-25 years through non probability sampling technique. The data was collected from August to September 2019. The addiction level to a smartphone was measured using Smartphone Addiction Scale Short Version (SAS-SV) and the Neck disability was measured using the Neck Disability Index (NDI) and were circulated. The questionnaires were shared with the students through electronic media and 108 subjects participated in it but only 100 were considered. The data were analysed using IBM SPSS 20.0 statistical software to correlate smartphone addiction scale and NDI. Spearman’s correlation test was performed to analyse the relationship between SAS-SV and NDI. Results: The Spearman correlation analysis clearly showed that there was a moderate positive correlation (r=0.682) between smartphone addiction and neck pain and neck disability in university students and the level of significance was p<0.01. Conclusion: This study concluded that longer use of smartphones would result in significant neck pain and disability. The students who were under the category of smartphone addicts would require ergonomic advice and education about the ill-effects of smartphone and the various musculoskeletal problems that may arise due to overuse.

scholarly journals Addictive Use of Smartphones and Mental Disorders in University Students

2020 ◽  
Author(s):  
Seyyed Salman Alavi ◽  
Maryam Ghanizadeh ◽  
Malihe Farahani ◽  
Fereshteh Jannatifard ◽  
Sudeh Esmaili Alamuti ◽  
...  
Keyword(s):  
Personality Disorder ◽  
Mental Disorders ◽  
University Students ◽  
Mobile Phone ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Cross Sectional ◽  
Logistic Regression Method ◽  
The Impact ◽  
The Relationship

Objective: Despite the awareness of smartphone addiction, low findings and lack of validated standards have led to insufficient information in this area. This study aimed to examine the relationship between mobile phone dependency and mental disorders in students in Iran, while controlling for the impact of gender, age, educational levels, and marital status. Method: In this cross-sectional study, a sample of 1400 university students (445 males and 955 females) aged 18-35 years were selected from 3 cities of Tehran, Isfahan and Karaj. The participants filled out a set of questionnaires: Cell Phone Dependency Questionnaire (CPDQ), Millon Multiaxial Clinical Inventory, and participated in interviews. Data were analyzed using multiple logistic regression method via SPSS-22 software. Results: In terms of controlling the demographic variables, the results revealed that bipolar disorder, depression, anxiety, somatization, dependent personality disorder, and compulsive personality disorder could increase the possibility of mobile phone addiction by 4.2, 4.2, 1.2, 2.8, 3.1, and 3.2 folds, respectively (P < 0.05). However, other disorders and demographic characteristics did not have any significant effects on the equation. Conclusion: The results can help better understand the relationship between psychological syndromes and smartphone addiction and can also facilitate further studies in this field. In addition, those students with smartphone addiction should be provided with different preventative strategies. Moreover, a growing range of stimulating applications may trigger the risk of addiction.

The Impact of Physical Therapy on Restoration of the Physical and Mental State of University Students

2018 ◽  
Vol 3 (7) ◽  
pp. 278-282 ◽  
Author(s):  
N. V. Gutareva ◽  
◽  
Yu. Yu. Muskharina ◽  
V. V. Gutarev ◽  
E. E. Yablochanska ◽  
...  
Keyword(s):  
Physical Therapy ◽  
University Students ◽  
Mental State ◽  
The Impact

THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen
Keyword(s):  
High School ◽  
High School Students ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Public Health Problem ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
School Students ◽  
The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

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