Mental Health, Depression, Anxiety and Stress: A Comparison Between Students Using Smart Phones and Basic phones

Similar documents
The Influence of Smartphone Addiction on Depression and Communication Competence among College Students

A STUDY ON SMART PHONE USAGE AMONG YOUNGSTERS AT AGE GROUP (15-29)

Mobile Addiction and associated factors amongst youth

Exploring Persuasiveness of Just-in-time Motivational Messages for Obesity Management

MHealth - The Future of Mental Health Care

Are Mobile Phones Driving Us Apart?

The American Association of Behavioral and Social Sciences Journal (The AABSS Journal, 2011, Volume 15)

CHAPTER II REVIEW OF RELATED LITERATURE

EFFECTS OF MOBILE PHONE USE ON THE SOCIAL AND ACADEMIC PERFORMANCE OF STUDENTS OF A PUBLIC SECTOR MEDICAL COLLEGE IN KHYBER PAKHTUNKHWA PAKISTAN

ORIGINAL RESEARCH ARTICLE

International Journal of Advance Engineering and Research Development IMPACT OF SMART PHONE USAGE ON ACADEMIC PERFORMANCE OF COLLEGE GOING STUDENTS

Impact of mobile phone addiction among college going students

A Statistical Study on Phone Usage and Its Impacts

McLean BASIS plus TM. Sample Hospital. Report for April thru June 2012 BASIS-24 APR-JUN. McLean Hospital

Using Electronic Devices to Improve the Patient Care Experience on an Inpatient Behavioral Health Unit

Relationship of Mobile Phone Usage and GPA among the Undergraduate Students at the University of the West Indies - Mona Campus

Several factors will be considered when matching instructors with training opportunities identified by Corporate Solutions.

ijcrr Vol 04 issue 09 Category: Research Received on:06/03/12 Revised on:17/03/12 Accepted on:28/03/12

Media centre Electromagnetic fields and public health: mobile phones

CHAPTER 3 RESEARCH METHODOLOGY OF THE STUDY

STRATEGY TACTICS KPI CATEGORY 2017 TARGET 2018 TARGET 2019 TARGET. 10 teachers per state (500 teachers) 12 schools

To Study the Usage & Awareness of M- Commerce and its services with reference to Nagpur City

GOIN MOBILE THE IMPACT OF SMARTPHONES ON AMERICAN LIFE

Technology, Social network, Physiology and Psychology as Risks Factors to Mobile Phone Addiction

CRITICAL INCIDENT STRESS MANAGEMENT

Study of Thumb Muscles to Determine Optimum Screen Size for One Hand Mobile Phone Use

A survey on prevalence and affect of earphone usage among adolescents

EVALUATION AND APPROVAL OF AUDITORS. Deliverable 4.4.3: Design of a governmental Social Responsibility and Quality Certification System

A Feasibility and Acceptability Study of the Provision

Exploring Factors Influencing Perceived Usefulness and Its Relationship on Hospital Information System End User Satisfaction

Evaluation of Malang City Public Transportation Route Search Mobile Application Implementation

A STUDY OF CUSTOMER DEFECTION IN CELLULAR SERVICES IN INDIA

Working Woman's Problems and Challenges - A Survey

CURRICULUM MASTER OF DISASTER MANAGEMENT

Website Usability Study: The American Red Cross. Sarah Barth, Veronica McCoo, Katelyn McLimans, Alyssa Williams. University of Alabama

CHAPTER - 7 MARKETING IMPLICATIONS, LIMITATIONS AND SCOPE FOR FUTURE RESEARCH

Smartphone as an e-learning Resource

Chapter 7: Communication. Organizational Behaviour 5 th Canadian Edition 7-1. Langton / Robbins / Judge Copyright 2010 Pearson Education Canada

Name: years years years 51 &above. Service Business Professional Student Housewife. Occupation:

Graduate Two Year-At-A-Glance

CURRICULUM The Architectural Technology and Construction. programme

SOCIABLE PEOPLE BEWARE? INVESTIGATING SMARTPHONE VERSUS NON-SMARTPHONE DEPENDENCY SYMPTOMS AMONG YOUNG SINGAPOREANS 1

ehealth literacy and Cancer Screening: A Structural Equation Modeling

INFORMATION SECURITY MANAGEMENT SYSTEMS CERTIFICATION RESEARCH IN THE ROMANIAN ORGANIZATIONS

Proposal of the Integrative Class Assistance System Using Smart Phone

Awards, Certificates and Diplomas in Employability Skills (5546)

The Effects of Mobile Phone Use on Human Behaviors: A Study of Developing Country Like Bangladesh

I. INTRODUCTION OBJECTIVES OF THE STUDY RESEARCH METHODOLOGY

Make sure you delete all red type explanations. NOTE: Anticipate no action on applications that do not meet the timeline as posted on the IRB web site

Electronic journals in the University libraries of Punjab: the present situation and future perspective

Validation of the Mobile Phone Addiction among Under-graduate Students Using SAS

I will cause your brain to shrink...

Behavioral Intention towards the Use of 3G Technology

Validity and reliability of the Persian version of mobile phone addiction scale

Procedia - Social and Behavioral Sciences 205 ( 2015 ) th World conference on Psychology Counseling and Guidance, May 2015

Electromagnetic Radiation from Mobile Phones and their base stations: Health Effects

Mobile Messaging Apps Study : India. August 2014

Sandy Le & Tyson-Phit Singvongsa. A World Of Pain. Are you dead Siri-ous about your health?

Cell and Landline Phone Usage Patterns among Young Adults and the Potential for Nonresponse Error in RDD Surveys

includes the archived video and post test.

Survey Questions and Methodology

The Rise of the Connected Viewer

IMPACT OF MOBILE PHONE: A STUDY IN TARAI REGION OF UTTARAKHAND ARPITA SHARMA

SNS Media Properties and Consumer Preference Effect on User Satisfaction and e-wom

WITH MODIFICATIONS ), S, PHONE NUMBERS OR OTHER FORMS, PLEASE VISIT THE IRB S WEBSITE AT:

Commerce, Scott Christian College (Autonomous), Nagercoil for his. I express my sincere thanks to Manonmaniam Sundaranar

Precision Skin Cancer Prevention A Sun Safety Mobile App. David Buller, PhD Senior Scientist & Director of Research Klein Buendel, Inc.

Certification Guidelines: Credential Standards and Requirements Table

Syllabus for HPE 016 Beginning Badminton and Fitness 1 Credit Hour Spring 2014

NSC Driver Safety Training

SINGAPORE COMPUTER SOCIETY INFOCOMM SURVEY 2014 EXECUTIVE SUMMARY

10/12/17 VISION MISSION

Needing to Connect: Detecting Problematic Mobile Phone Use. Driving Social Responsibility

Impact of texting on young drivers' behaviour and safety on motorways by the use of a driving simulator

Texting distracted driving behaviour among European drivers: influence of attitudes, subjective norms and risk perception

Impact of Mobile Phone Uses on Urban Life: A Study at Tamluk Municipality of West Bengal, India

Norton s My First Device Report. October 2018

INFLUENCING QUALITY OF LIFE BY IMPROVING HEALTH

The HUMANE roadmaps towards future human-machine networks Oxford, UK 21 March 2017

INDEX ABOUT US 3 ARAB CERTIFIED QUALITY MANAGER PROGRAM. Body of Knowledge 6 UNESCO ICT INDICATORS 8 MESSAGE FROM THE CHAIRM AN

Students Preferences for Receiving Communication from the University: A Report from the Student Life Survey

Institutional Review Board. Application for Research Using Humans

Certified Manager Certification

Syllabus for HPE 005 Fitness Club 1 Credit hour Fall 2016

Older African Americans perspectives on mhealth approaches for HIV management

IJESRT. (I2OR), Publication Impact Factor: (ISRA), Impact Factor: 2.114

Young Latinos Use of Mobile Phones: A Cross-Cultural Study

The National Medical Device Information Sharing & Analysis Organization (MD-ISAO) Initiative Session 2, February 19, 2017 Moderator: Suzanne

VOCATIONAL QUALIFICATIONS ENTRY CODES 2017/18. ocr.org.uk

Research Methods for Business and Management. Session 8a- Analyzing Quantitative Data- using SPSS 16 Andre Samuel

A Study of Mobile Phone Addiction among Kashmiri Students with Respect to Gender

Syllabus for HPE 098 Triathlon Training 1 Credit Hour Fall 2014

Computers, Phones, And The Internet Domesticating Information Technology [Series In Human-Technology Interaction] [Oxford University Press, USA,2006]

DATA MEMO. The volume of spam is growing in Americans personal and workplace accounts, but users are less bothered by it.

Telephone Survey Response: Effects of Cell Phones in Landline Households

National School of Business Management

Disability and the Web: Why Website Accessibility Matters

66 DV 1990 DV 1) DV 2) DV DV 2007 DV DV DV DV DV DV fl 2fl 3fl 1 1 DV DV DV DV DV DV DV 2 DV DV

Clustering patients into subgroups differing in optimal treatment alternative: QUINT. Elise Dusseldorp Singapore, March 25, 2014

Smartphone Ownership 2013 Update

Transcription:

International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 017, Vol 4, No.3,69-75. 69 Available online at http://www.ijims.com ISSN - (Print): 519 7908 ; ISSN - (Electronic): 348 0343 IF:4.335; Index Copernicus (IC) Value:.59; UGC Recognized -UGC Journal No.: 4719. 1 st July Mental Health, Depression, Anxiety and Stress: A Comparison Between Students Using Smart Phones and Basic phones Shilpa Singh Rohilla Research Scholar, Department of Psychology, Panjab University, Chandigarh, India Abstract Smart phones have brought a remarkable level of convenience to our lives. Due to the technological capabilities of smart phones, they can do much of what a computer can. Despite its technological capabilities it also has some negative impact on our life. Several researches have proved that smart phones may adversely affect the mental health, elevate depression, anxiety and stress levels. The present study was designed to investigate mental health, depression, anxiety and stress among two groups of students. Random sampling technique was adopted to select 10 students from various departments of Panjab University Chandigarh and affiliated colleges. Of the 10 students, students are those who are using smart phones with internet access and students are those who use basic phones without internet access. Both the groups consist of equal number of male (N=) and female (N=) students. Age range was 18 to 4 years.mental health of students was assessed by GHQ-1 by Goldberg and Williams (1978). To assess depression, anxiety and stress, DAAS-1 by Lovibond & Lovibond (1995) was used.the results indicate that there are significant differences on mental health, depression, anxiety and stress among students who use smart phones with internet access and those who use basic phones without internet access. Results also revealed significant gender differences on all the dimensions. Keywords: Smartphone usage, Mental health, Depression, Anxiety and Stress Introduction Smart phones have brought a remarkable level of convenience to our lives. Due to the technological capabilities of smart phones, they can do much of what a computer can. Despite its technological capabilities it also has some negative impact on our life. In fact, some mobile phone users consider their handsets as extensions of their physical selves (Campbell & Russo, 003). Technology is often used to solve problems. It enables us to have easier access to information. It has also been seen that at work place it helps in increasing the performance of employees because they can easily communicate with coworkers from anywhere (Day et al., 01). Some researchers (Chesley, 005; Boswell & Olson-Buchanan, 007; Golden & Giesler, 007; Chesley & Johnson, 010; Currie & Eveline, 011) have examined whether this technology is actually having a negative impact on ability to balance work and life. Excessive use of smart phones can cause changes of daily life of its owner, directly affecting her health and sleep patterns (Ahn & Kim, 015).

International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 017, Vol 4, No.3,69-75. 70 A smart phone can be defined as a device that performs many of the functions of a computer, typically having a touch screen interface, internet access, and an operating system capable of running downloaded apps (Oxford Dictionary). Despite its technological capabilities it also has some negative impact on our life. Several researches have proved that smart phones may adversely affect the physical as well as mental health of the users. Now a day s mental health has become a global concern (Parthi & Rohilla, 01. WHO constitution says that health is a state of complete physical, mental and social well-being and not merely the absence of disorders or infirmity (WHO, 014). Mental health is a critical factor for the well-being of an individual. Whether it is student life or professional life, without sound mental health it becomes difficult to excel in the respective fields (Parthi & Rohilla, 017). Studies show that users often associate using a mobile phone with headaches, impaired memory and concentration, fatigue, dizziness and disturbed sleep (Al-Khlaiwi & Meo, 004). These are all symptoms of radiation sickness (Khan, 008). In 014, 58% of World Health Organization states advised the general population to reduce radio frequency exposure below heating guidelines. The most common advice is to use hands-free kits (69%), to reduce call time (44%), use text messaging (36%), avoid calling with low signals (4%) or use phones (Dhungel et al., 015). There is a large amount of research on mobile phone use, and its positive and negative influence on the human's psychological mind and social communication. Referring to the possible negative outcomes of mobile phone use, users may encounter stress, sleep disturbances and symptoms of depression, especially among young adults. Consistent phone use can cause a chain reaction, affecting one aspect of a user's life and expanding to contaminate the rest. It usually starts with social disorders, which can lead to depression and stress and ultimately affect lifestyle habits such as sleeping right and eating right (Sara et al., 011). Gender differences also exist on smart phone usage. Behaviors associated with mobile-phone addiction differ between genders (Roberts et al., 014). Women are more likely to develop addictive mobile phone behavior than men. Men experience less social stress than women and use their mobile phones less for social purposes. Older people are less likely to develop addictive mobile phone behavior because of different social usage, stress and greater self-regulation (Deursen., 015). Thomée et al. 007 found prospective associations between high Information and Communications Technology (ICT) use, including high frequency of mobile phone use, and mental health symptoms among young adult college and university students. Excessive smart phone use (overuse) is associated with somatic complaints, anxiety, insomnia and depression (Jenaro et al., 007 & Yen et al, 009), psychological distress (Beranuy et al., 009), and an unhealthy lifestyle (Ezoe et al., 009). Thomée et al. 009 conducted a study and reported that mobile overuse was associated with stress and sleep disturbances for women, and high accessibility stress was associated with stress, sleep disturbances, and symptoms of depression for both men and women. Objectives To compare the smart phone users and basic phone users on mental health, depression, anxiety and stress. Sample

International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 017, Vol 4, No.3,69-75. 71 The sample for the present research study was collected from various departments of Panjab University, Chandigarh. The data consisted of 10 students, students are those who have smart phones with internet access and students are those who use basic phones without internet access. Both the groups consist of equal number of male (N=) and female (N=) students. Age range was 18 to 4 years. Tools Mental health of students was assessed by GHQ-1 by Goldberg and Williams (1978). This is a 1 item scale with range of score 0 to 36. This scale has been widely used in various cultures as a screening tool to determine whether an individual is at risk of developing a psychiatric disorder. It is extensively used by researchers and found to be reliable and well validated. Stress, Depression and Anxiety of students was assessed by DAAS-1 by Lovibond & Lovibond (1995). It is a 1 item scale with 7 items under each dimension i.e. depression, anxiety and stress. Range of score is 0-63. The reliabilities (internal consistencies) of the DASS-1, anxiety, depression, stress, and total scale are Cronbach s alpha 0.88 for the depression scale, 0.8 for the anxiety scale, 0.90 for the stress scale, and 0.93 for the total scale. Design The variables were measured using standardized scales. Statistical analysis was conducted using SPSS 0. t-test was calculated to assess the mean differences between the groups on all the variables. Procedure The questionnaires were individually administered. Clear instructions were imparted to the participants to ensure they had no difficulty in understanding the items. The subjects were given enough time to give their responses. After the data collection scoring was done t-value was calculated. 3. Results Table-1: t-ratios of male students using smart phones and using basic phones 3.67 8.66 ** 14.47 18. 0.58 17.53 6.40 9.43 ** 15.13 3.13 0.13 10.01 ** Gp-1 male students using smart phones with internet access Gp- male students using basic phones without internet access Table-: t-ratios of female students using smart phones and using basic phones 0.07 8.36 ** 1.50 18.07 3.7 ** 14.40 5.07 8.67 ** 14.47 9.67 6.80.03 *

International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 017, Vol 4, No.3,69-75. 7 Gp-1 female students using smart phones with internet access Gp- female students using basic phones without internet access Table-3: t-ratios of female students using smart phones and male students using smart phones 0.07 3.09 ** 3.67 18.07 0.18 18. 5.07 0.95 6.40 9.67 3.13 1.68 Gp-1 female students using smart phones with internet access Gp- male students using smart phones with internet access Table-4: t-ratios of students using smart phones and students using basic phones 1.87 11. ** 13.48 18.18.5 * 15.97 5.73 1.8 ** 14.80.90 3.47 7.3 ** Gp-1 students using smart phones with internet access Gp- students using basic phones without internet access Discussion Significant results emerged on the mental health, anxiety and stress dimensions for the male students who use smart phones with internet access and who use basic phones without internet access (Table-1). Those who use smart phones with internet possess higher scores on mental health as compared to those who use basic phones without internet access (t=8.66 ** Mean (M) of smart phone users=3.67, M of basic phone users = 14.47). A high score is indicative of poor mental health. Thereby, suggesting that the male students using smart phones with internet access suffer poor mental health. Significant results also emerged on anxiety for the male students using smart phones and for those using basic phones. Those using smart phones possess higher scores on anxiety as compared to those using basic phones (t=9.43**, M of male smart phone users = 6.4000, M of basic phone users= 15.13). Significant results emerged on stress dimensions for the male students who use smart phones with internet access and who use basic phones without internet access. Those who use smart phones with internet possess higher scores on stress as compared to those who use basic phones without internet access (t=10.01 ** M of smart phone users=3.13, Mean of basic phone users = 0.13).

International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 017, Vol 4, No.3,69-75. 73 Significant results emerged on the mental health, depression, anxiety and stress dimensions for the female students who use smart phones with internet access and who use basic phones without internet access (Table-). Those who use smart phones with internet access possess higher scores on mental health as compared to those who use basic phones without internet access (t=8.36 ** M of smart phone users=0.07, M of basic phone users= 1.50). A high score is indicative of poor mental health. Thereby, suggesting that the female students using smart phones with internet access suffer poor mental health. Significant results also emerged on depression. Those using smart phones possess higher scores on depression as compared to those using basic phones (t=3.7**, M of female smart phone users = 18.07, Mean of those using basic phones Significant results also emerged on anxiety for the female students using smart phones and for those using basic phones. Those using smart phones possess higher scores on anxiety as compared to those using basic phones (t=8.67**, M of female smart phone users = 5.07, M of basic phone users= 14.47). Significant results also emerged on stress. Those who use smart phones with internet possess higher scores on stress as compared to those who use basic phones without internet access (t=.031 ** M of smart phone users= 9.67, M of basic phone users = 6.80). Gender differences among students using smart phones with internet access (Table-3) reveal significant results on mental health (t=3.09, M of female students= 0.07, M of male students = 3.67). No significant results emerged on depression, anxiety and stress dimensions. Significant results emerged on mental health dimension among students using smart phones with internet access and for those using basic phones without internet access (Table-4). Students using smart phones possess higher scores on mental health as compared to those using basic phones (t=11.*, M of smart phone users =1.87, M of basic phone users = 13.48). Significant results emerged on depression also. (t=.5, M of smart phone users =18.83, M of basic phone users = 15.97). For anxiety, results reveal significant differences. (t=1.8**, M of smart phone users =5.73, M of basic phone users = 14.80). On stress dimension significant results are emerged. (t=7.3, M of students using smart phones =.90, M of students using basic phones = 3.47). Conclusions and implications The present research concludes that students using smart phones with internet access report poor mental health. They score higher on depression, anxiety and stress than those who use basic phones without internet access. Poor mental health, anxiety and stress were reported by male students using smart phones. However, no significant differences emerged on depression scores among male students using smart phones and basic phones. Furthermore, results also reveal that females using smart phones suffer poor mental health and score higher on depression, anxiety and stress. The aim of this study was to explore how excessive use of smart phones can affect mental health, and can cause depression, anxiety and stress among students. The results highlight the fact that despite the technological capabilities of smart phones they also have a negative impact on our life. Al-Khlaiwi & Meo (004) also report that smart phones may adversely affect the physical as well as the mental health of the users. Gender differences on smart phone usage reveal that females report higher dependence, anxiety and insomnia (Kawasaki et al. 006; Jenaro et al. 007; Roberts et al, 014). However, contrary results emerged for the present study with males reporting poor mental health as compared to the female students.

International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 017, Vol 4, No.3,69-75. 74 Smart phones undoubtedly enhance connectivity and information for students. However, it is vital to curtail its usage to reduce depression anxiety and stress in order to improve the mental health status of students. References Ahn, S.Y. & Kim, Y.J. (015). The Influence of Smart phone Use and Stress on Quality of Sleep among Nursing Students. Indian Journal of Science and Technology, 8(35). Al-KhlaiwiT, Meo, S.A. (004). Association of mobile phone radiation with fatigue, headache, dizziness, tension and sleep disturbance in Saudi population. Saudi Med J. 5, 73 736. PMID 1519501 Beranuy, M., Oberst, U., Carbonell, X., & Chamarro, A. (009). Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence. Computers in Human Behavior, 5(5), 118-1187. Boswell, W. R., & Olson-Buchanan, J. B. (007). The use of communication technologies after hours: The role of work attitudes and work-life conflict. Journal of Management, 33(4), 59-610. doi:10.1177/014906755 Campbell, S. W., & Russo, T. C. (003). The social construction of mobile technology: An application of the social influence model to perceptions and uses of mobile phones within personal communication networks. Communication Monographs,70(4), 317-334. doi:10.1080/03637750300017914 Chesley, N., & Johnson, B. E. (010). Information and communication technology, work and family. Sloan Network Encyclopedia Entry. Currie, J., & Eveline, J. (011). E-technology and work/life balance for academics with young children: Higher Education. The International Journal of HigherEducation and Educational Planning, 6(4), 533-550. Day, A., Paquet, S., Scott, N., & Hambley, L. (01). Perceived information and communication technology (ICT) demands on employee outcomes: The moderating effect of organizational ICT support. Journal of Occupational Health Psychology, 17(4), 473-491. doi:10.1037/a009837 Deursen, V., Bolle, C.L., Hegner, S.M., & Kommers, P.A. (015). Modeling habitual and addictive smartphone behaviour: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior 45, 411 40. doi:10.1016/j.chb.014.1.039. Dhungel, A., Zmirou-Navier, D., Van, D.E. (015). Risk management policies and practices regarding radio frequency electromagnetic fields: results from a WHO survey. RadiatProtDosimetry 164 (1-), 7. doi:10.1093/rpd/ncu34. PMID 5394650 Ezoe S, Toda M, Yoshimura K, Naritomi A, Den R, Morimoto K: Relationships of personality and lifestyle with mobile phone dependence among female nursing students. Social Behavior and Personality 009, 37(), 31-38. Golden, A., & Geisler, C. (007).Work-life boundary management and the personal digital assistant. Human Relations, (3), 519-551. Jenaro, C., Flores, N., Gómez-Vela, M., González-Gil, F., & Caballo, C. (007): Problematic internet and cell-phone use: Psychological, behavioral, and health correlates. Addiction Research and Theory, 15(3), 9-30. Khan, M.M. (008). Adverse effects of excessive mobile phone use. Int J Occup Med Environ Health. 1, 89 93. doi:10.478/v10001-008-008-6. PMID 198576

International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 017, Vol 4, No.3,69-75. 75 Oxford online dictionary (017). Definition, Retrieved from World Wide Web http:// www.oxforddictionaries. com/definition/english/ smartphone Parthi, K., & Rohilla, S.S. (017). A Study of Mental Health, Perceived Stress, and Self-Esteem among Students in Higher Education. The International Journal of Indian Psychology. 4(4). Parthi, K., & Rohilla, S.S. (017). Impact of financial difficulties on mental health among research students of Panjab University, Chandigarh, India. IAHRW International Journal of Social Sciences Review, 5(), 180-184. Roberts, J.A., Yaya, L.H., Manolis, C. (014). The invisible addiction: cell-phone activities and addiction among male and female college students. J Behav Addict. 3 (4), 54 65. doi:10.1556/jba.3.014.015. PMID 5595966. Thomée, S., Eklöf, M., Gustafsson, E., Nilsson, R., &Hagberg, M. (007). Prevalence of perceived stress, symptoms of depression and sleep disturbances in relation to information and communication technology (ICT) use among young adults - an explorative prospective study. Computers in Human Behavior, 3(3),10-131. Thomée, S., Härenstam, Annika, Hagberg, Mats, (011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study. BMC Public Health 11 (1), 66. doi:10.1186/1471-458-11-6 WHO (004). Promoting mental health: concepts, emerging evidence, practice: summary report No.7, World Health Organisation, New Delhi. Retrieved from World Wide Web http://www.who.int/mental _health/evidence/en/promoting_mhh.pdf WHO (repeated 014). Mental Health: Strengthening our response (Fact sheet N 0 0).Retrieved from World Wide Web http:// www. who.int/mental_health/evidence/en/_ promoting_mhh.pdf Yen, C.F., Tang, T.C., Yen, J.Y., Lin, H.C., Huang, C.F., Liu, S.C., &Ko, C.H., (009). Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. Journal of Adolescence, 3(4), 863-873.