Investigate the relationship between cell-phone over-use scale with depression, anxiety and stress among university students
BMC Psychiatry volume 22, Article number: 755 (2022)
Cell phones have increased dramatically as a new communication technology in the modern world. This study aimed to determine the relationship between cell phone over use scale with depression, anxiety and stress among university students in Khorramabad, Iran.
In this descriptive-analytical and cross-sectional study, 212 students were randomly selected from the Lorestan University of Medical Sciences by a combination of stratified and clustered random sampling. Data were collected by two standard questionnaires including, Cell-phone Over-use Scale (COS) and Depression, Anxiety and Stress (DASS-21) and were analyzed using SPSS V.22.
Based on the results, 72.2% of the students were exclusively male, which a majority of them were in age of 21–23 years (46.2%), and 92.5% were single. Based on the multiple linear regression and after adjustment for the confounding effect, there was a significant relationship between cell phone over use scale on student’s stress (t = 2.614, P = 0.010), and student’s anxiety (t = 2.209, P = 0.028); however there was not a significant relationship between cell phone over use scale on student’s depression (t = 1.790, P = 0.075).
Harmful use of cell phones can aggravate psychological disorders such as anxiety, stress and depression and by controlling this factor can increase the level of mental health and improve the quality of life in students.
Lorestan University of Medical Sciences. ID: IR.LUMS.REC.1397-1-99-1253.
Cell phone is one of the most important inventions that has changed the world communications. Mobile phones have become as an public industry communication in 1980s . 72% of Americans have a smartphone, and the global average is 43%, however, the harmful use of smartphones can have devastating effects on everyone . The use of mobile phones and other informational and communicational technologies has become as an important part of people’s lifestyle [3, 4]. Although the growth of technology and communications in various fields, has accelerated work and reduced distances and is considered as an opportunity, although it can also be a threat to its users and cause problems on their health [5, 6].
Technology addiction can be defined as a subset of addictive behaviors. Many researchers believe that the use of mobile phones leads to the formation of a type of addiction that is just as destructive as drug addiction, alcohol, overeating, immoral relationships, computer games, the Internet, etcetera [7, 8]. A huge number of communication tools users included young people. Like other types of addiction, communication dependence is associated with symptoms such as anxiety, depression, mood swings, obsessive thoughts, withdrawal, and the breakdown of social relationships. On the other hand, as people’s relationships in the virtual world increase, their relationships in the real world decrease; and in some cases, excessive use of this device causes academic performance reduction, conditioning, and expulsion from university .
Due to the increasing use of new communication technologies in the world, there are some concerns about constant exposure to radiofrequency signals from mobile phones and their base stations which could adversely affect human health .
On the other side, Covid-19 pandemic has spread rapidly worldwide with an increased use of cell phones for educational purposes. Recent studies showed that the use of smart phones among different age groups has grown significantly in epidemics and has caused problems such as mobile addiction [11, 12]. Different studies showed that there is a significant relationship between the use of phone with anxiety and insomnia .
Based on the previous studies, residents living around the antennas showed some symptoms such as headache, anxiety, depression, and fatigue [14,15,16,17]. Also, according to researches, excessive use of communication devices such as mobile phones, especially among young people, is associated with psychological problems, including depressive symptoms . In addition, students with depressive moods, use cell phones and other communicational tools by the means of spending time .
In Thomee’s study, the average excessive use of cell phone among adolescents was associated with their poor sleep patterns and depressive symptoms . The results of Azoki’s study showed that young people who use text messaging in an extreme and addictive manner, will experience high levels of impulsivity, loneliness and social anxiety as well .
Also, reduction in the size of social relationships, social isolation and increasing the feeling of loneliness in people who use cell phones frequently, will be one of the most likely consequences of excessive use of mobile phones . People who are addicted to mobile phones feel depressed, confused and isolated without this tool . According to researches, anxiety is also associated with cell phone addiction. The study of Hawi et al. showed that anxiety was positively associated with cell phone addiction . In another study by Sapacz et al. was found that using cell phone was associated with social anxiety .
Nowadays, there is a significant growth in the use of mobile phones, while there is not enough consideration to the psychological and social effects of long-term use of this communication’ tool. Youth mental health is one of the most important topics in the psychology and sociology issues. Most students have different uses of mobile phones and one of the problems that employments should focus on, is poor academic performance or poor academic achievement. Despite the increase in number of cell phone users, the mobile phone has not been the subject of serious and scientific research yet. So this study was aimed to investigate the relationship between harmful cell phone usage with depression, anxiety and stress among university students.
This descriptive-analytical cross-sectional study was conducted among Lorestan University of Medical Sciences students in 2019. Students studying in the faculties of Lorestan University of Medical Sciences were included after their conscious satisfaction about the study’s content. This study was approved by Lorestan University of medical Sciences. Written informed consent and verbal agreement was taken from all participants. The confidentiality principle was maintained so that there was no need to mention the names of the individuals in the questionnaires, and it was assured that the information was just provided to the researcher and used in the study. All methods were carried out in accordance with relevant guidelines and regulations or declaration of Helsinki.
Sampling was done only in different faculties of Lorestan University of Medical Sciences located in Khorramabad city. Sampling method was a combination of stratified and clustered random sampling; in this way, each faculty was considered as a stratum and within each faculty stratum there was a sub- stratum (field of study, gender, and degree). There were also sub-stratums within each clusters (entries of different years).
Finally, a field of study from each faculty was selected and one to two entries from each specific field were selected randomly (for example, one entry from lower grade students, e.g. semesters one, two, three, and four, and the next entry from undergraduate students, e.g. semesters fifth, sixth, seventh and eighth) and then, proportional to size systematic random sampling was deployed in each sub-stratum. Totally 212 students were collected as the sample size based on the formula below (considering 1.5 of design effect):
Student’ demographic information tool and two standard questionnaires were used in this study.
The demographic information questions were including: Gender, age, marital status, faculty, major, GPA, educational level, students’ residence, parents’ residence, father’s educational level, mother’s educational level, household size, and monthly household income.
Depression Anxiety and Stress Scale-21 (DASS-21): DASS-21  with 21 items and three subscales (7 items for each subscale) was used. This instrument measures the prevalence of depression, anxiety, and stress signs and symptoms during the past weeks. The items of the scale are rated on a four-point Likert scale, with the score for each item ranging from 0 (“does not apply to me at all”) to 3 (“applies to me most of the time”). The subscale scores were calculated by summing the scores of the individual items, and the maximum sum for each subscale is 21; higher scores represent higher psychological distress. The normal score for severity of each subgroup is (0–9) for depression, (0–7) for anxiety, and (0–14) for stress and very sever scores vary to (> 28) for depression, (> 20) for anxiety, and (> 33) for stress. The original study of  reported the high reliability of DASS-21, Cronbach’s Alpha coefficients for depression, anxiety, and stress were reported as 0.91, 0.84, and 0.90, respectively. Henry and Crawford  found this scale to have good concurrent and discriminant validity as well as excellent internal consistency (α = .93). In this study, the reliability of dimensions of depression, anxiety, and stress was 0.83, 0.79, and 0.77.
Cell-phone Over-use Scale (COS): The harmful factors caused by cell phone use were asked. This questionnaire was developed by Gennaro et al. (2007), and the reliability of this scale was determined by Cronbach’s alpha internal consistency method on Spanish female and male students were reported 0.85. This scale has 21 items. The scale is graded based on a six-point Likert (never (0), almost never (1), sometimes (2), often (3), almost always (4), and always (5). Subjects with scores above 75 were rated as excessive users and less than 25 were assigned to be sparingly users [28, 29]. In this study, the validity was good and the reliability was 0.88.
Data were analyzed via SPSS software version 22 at significance level of 0.05. For descriptive purposes, frequency distribution table and some statistical measures such as, mean and standard deviation and for normality checking, one-sample Kolmogorov-Smirnov test was deployed. One-way ANOVA test and independent t-test were used for assessment the relationship between demographic variables with cell phone over use, stress, anxiety and depression scores, on the other hand. Furthermore, Pearson’s correlation coefficient test was deployed in order to evaluating the linear relationship between cell phone over use, stress, anxiety and depression scores. In multivariable modeling, three separate multiple linear regression models were used. In all three models, independent variable was cell phone over use score and also, some demographic variables were considered as confounders. Those demographic variables, which had P-values less than 0.250, both with independent variable (cell phone over use score) and dependent variable (any three dimensions of mental health) were considered as, potentially confounding variable and their effect on dependent variable were adjusted.
According to the results, 72.2% of students who participated in this study were exclusively male, which a majority of them were in age of 21–23 years (46.2%), whom 92.5% were single. Based on their parental educational level, 36.3% of their fathers and 20.3% of their mothers had academic education. About 65.1% of the students lived in dormitories. In terms of resistance, 92.5% were living in urban and 7.5% in rural area. Additionally 72.6% were studying in associated degree and Bachelor of Science while the rest 27.4% were studying in Master of Science and PhD. degree. All other socio-demographic characteristics of the participants are provided in (Table 1).
Table 2, shows the absolute and relative frequency of cell phone over use variables, stress, anxiety and depression among university students.
The results of one-way ANOVA showed that there was a statistically significant meaning between faculty (p = 0.004), major (p = 0.050), and GPA (p = 0.038) in terms of cell-phone over-use. Although, there was no statistically significant meaning between gender, age category, marital status, educational level, father’s educational level, mother’s educational level, monthly household income, student’s residence, parent’s residence, and household Size (p > 0.05).
It is also showed that there was just a statistically significant meaning between faculty (p = 0.040), in terms of the average score of stress. Although, there was no statistically significant meaning between GPA, gender, age category, marital status, educational level, father’s educational level, mother’s educational level, monthly household income, student’s residence, parent’s residence, and household Size (p > 0.05).
There was a statistically significant meaning between faculty (p = 0.004), and GPA (p = 0.015) in terms of the average score of anxiety. Although, there was no statistically significant meaning between gender, age category, marital status, educational level, father’s educational level, mother’s educational level, monthly household income, student’s residence, parent’s residence, and household Size (p > 0.05).
The results also showed that there was just a statistically significant meaning between faculty (p = 0.006) in terms of the average score of depression. Although, there was no statistically significant meaning between GPA, gender, age category, marital status, educational level, father’s educational level, mother’s educational level, monthly household income, student’s residence, parent’s residence, and household Size (p > 0.05) (Table 3).
The results of the Pearson correlation coefficient analyses between psychological variables including cell phone over use, stress, anxiety and depression are shown in (Table 4). A strong correlation was found between Cell phone over use score and Stress score (r = 0.212, p = 0.002), whereas the correlation between cell phone over use score and anxiety score was (r = 0.193, p = 0.005), and the correlation between cell phone over use score and depression score was (r = 0.153, p = 0.026).
Based on the multiple linear regression and after adjustment for the confounding effect, there was a significant relationship between cell phone over use scale on student’s stress (t = 2.614, P = 0.010); so that by increasing in each unit of cell phone over use score, the student’s stress score increases about 0.040 units. In other words, by increasing in every 25 units of cell phone over use score, the student’s stress score increases about 1 unit.
Also after adjustment for the confounding effect, there was a significant relationship between cell phone over use scale on student’s anxiety (t = 2.209, P = 0.028); so that by increasing in each unit of cell phone over use score, the student’s anxiety score increases about 0.031 units. In other words, by increasing in every 33 units of cell phone over use score, the student’s stress score increases about 1 unit.
Finally after adjustment for the confounding effect, there was not a significant relationship between cell phone over use scale on student’s depression (t = 1.790, P = 0.075); so that by increasing in each unit of cell phone over use score, the student’s anxiety score increases about 0.028 units. In other words, by increasing in every 36 units of cell phone over use score, the student’s stress score increases about 1 unit (Table 5).
The improper use of cell phone has increased dramatically nowadays. Because electromagnetic waves are used to transmit data via cell phones, some concerns have been raised because wave’s negative effects also affect human public health. The effects of cell phone over use on anxiety, depression and stress are some of these concerns that can be assessed by laboratory methods, epidemiological studies and standard questionnaires .
The results of this study showed that there was no relationship between cell phone over use with stress, anxiety, depression, gender, age, marital status, educational level, father and mother educational level, students’ residence, parent’s residence, household size, however there was a significant relationship between faculty with cell phone over use, stress, anxiety, and depression (p < 0.05). Based on this study, there was a significant relationship between GPA with cell phone over use and anxiety (p < 0.05); however there was no significant relationship between GPA, stress and depression.
One of the identified variables associated with cell phone over use is depression. Depression is a psychological disorder that causes marked changes in mood, outlook, perfectionism, thinking ability, activity, and bodily processes such as sleep, energy, and appetite . Depression is a disorder that is caused by a variety of factors including biological, social, psychological, behavioral and environmental pressures and stresses. Cell phone addiction is one of the factors that has caused and exacerbated various mental disorders such as anxiety and depression recently . Many previous studies showed that there is a positive relationship between depression and cell phone over use among students. In other words, it can be said that as depression increases, their cell phone overuse increases as well, which is consistent with previous studies [18, 33]. In this study there was a significant positive correlation between depression and stress (r = 0.608), and depression and anxiety (r = 0.650).
In short, students experience more negative emotions such as depression, anxiety, and stress because they are in a sensitive developmental period. Therefore, to reduce negative emotions and psychological experiences, they use fun activities such as cell phones to reduce these stresses temporarily and divert their focus from their perceived stress. Reducing negative emotions following cell phone use leads to intensify spending more time with their cell phone in order to receive more reinforcements and reduce negative emotions, and this behavior gradually becomes as an addictive behavior .
The study of the Tas  showed that depression and anxiety have significantly predicted cell phone addiction, which was consistent with the results of Kil et al. , and Volungis et al. , who observed positive and significant correlation between cell phone addiction and anxiety, depression and stress. Zanjani et al. , indicated that the more depression among students, the higher rate of cell phone addiction.
Based on the present study, there was a significant positive correlation between anxiety and cell phone over use (r = 0.193), and anxiety and stress (r = 0.643). Anxiety has a strong correlation with the cell phone over use, which is one of the disorders that people usually suffer from . In addition, the results of this study showed that there was a significant relationship between cell phone over use and anxiety and psychological problems such as depressive symptoms, which is consistent with other studies [30, 39].
Hawi’s study also found that cell phone over use through anxiety is indirectly related to family relationships and there is also a positive correlation between cell phone over use and anxiety . Samaha et al.  stated that the higher the smartphone addiction, the higher the level of anxiety, and the higher the level of anxiety, the more increases cell phone over use, which leads to a vicious cycle. In other words, a stressor that raises the level of anxiety may also increase the harmful use of cell phones. In explaining the relationship between excessive cell phone usage and the level of anxiety and depression among students, researchers have pointed to the increased stress caused by cell phone waves and the effect of these waves on brain activity. Excessive employment in cell phone calls causes a lot of stress, worries and anxieties among young people. These disorders are such that a kind of mental and neurological disease is defined based on it and the sufferer feels his cell phone ring several times during the day [41, 42]. Physical reactions such as headache or the sensation of heat caused by prolonged use of a cell phone can also be stressful and lead to concerns about the potential dangers of using electromagnetic devices .
Based on different studies, the use of mobile devices has increased during Covid-19 pandemic . The heavy usage of this technology may have a negative impact on students’ physical and mental health and also it may cause some other problems such as depression and anxiety .
One of the limitations of the present study was that it was performed only among the students of one university and also does not include engineering, basic sciences and humanities students and should take more care in generalizing the findings to other individuals and students. It would be interesting to provide more comprehensive studies to other provinces especially with more completed statistical communities in future. The results of this study on anxiety, stress and depression were based on participants’ self-expression and there was no clinical evidence in this regard. On the other hand, the extent of cell phone over use did not have an objective measurement tool and was evaluated on the basis of self-declaration. Another limitation of this study was the use of correlation scheme to show the relationship between variables. Therefore, in order to clarify the relationship between the variables, longitudinal studies in this field are needed.
The main purpose of this study was to find out the relation between Cell-phone Over-use Scale and various components like stress, anxiety and depression. There was a significant positive correlation between Cell-phone addiction and stress, anxiety and depression. So, smartphone addiction should be prevented in young adults to save them from getting behavioral problems such as stress, anxiety and depression. Future studies can be done using larger sample size and on the different age group of people.
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Saied Reza Ameli SS, Ramezani MR. Mobile Phoe studies: life on the move. Tehran: Samt Publication; 2008.
Elhai JD, Dvorak RD, Levine JC, Hall BJ. Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. J Affect Disord. 2017;207:251–9.
Thomée S, Dellve L, Härenstam A, Hagberg M. Perceived connections between information and communication technology use and mental symptoms among young adults - a qualitative study. BMC Public Health. 2010;10:66.
Zhao TY, Zou SP, Knapp PE. Exposure to cell phone radiation up-regulates apoptosis genes in primary cultures of neurons and astrocytes. Neurosci Lett. 2007;412(1):34–8.
Bianchi A, Phillips JG. Psychological predictors of problem mobile phone use. CyberPsychol Behav. 2005;8(1):39–51.
Repacholi MH. Health risks from the use of mobile phones. Toxicol Lett. 2001;120(1–3):323–31.
Sadeghian E. Effect of computer and internet on children and teenagers. Sci Commun Monthly E-journal Irandoc. 2005;4(4):78–86.
Shaw M, Black DW. Internet addiction. CNS Drugs. 2008;22(5):353–65.
Samson J, Keen B. Internet Addiction; 2005. Availeable at: http://www.islamonline.net/English/Science/2005/11/article04.shtml [Last Accessed on 8 Jul 2009].
Naderi F, Haghshenas F. Relationship between impulsivity and loneliness, with the use of mobile phones among male and female students: MS. Dissertation. Ahvaz: Islamic Azad University; 2008.
Gupta K, DSilva MH. Proliferation of social media during the COVID-19 pandemic: a statistical enquiry. J Xi’an Univ Archit Technol. 2020;12:1752–9.
Hamilton J, Nesi J, Choukas-Bradley S. Teens and social media during the COVID-19 pandemic: staying socially connected while physically distant. PsyArXiv. 2020. https://doi.org/10.31234/osf.io/5stx4.
Dust Mohammadi M, Khojasteh S. Investigating the relation-ship between the use of social networks with self-confidence and mental health of faculty members and students of Payame Noor University in Kerman (Persian). Iran J Cult Islamic Univ. 2019;8(2):251–72 https://www.magiran.com/paper/1888751.
Croft RJ, Chandler JS, Burgess AP, Barry RJ, Williams JD, Clarke AR. Acute mobile phone operation affects neural function in humans. Clin Neurophysiol. 2002;113(10):1623–32.
Navarro E, Segura J, Gómez-Perretta C, Portolés M, Maestu C, Bardasano J. About the effects of microwave exposure from cellular phone base stations: A first approach. 2nd Int Workshop on Biological Effects of Electromagnetic Fields; 2003.
Röösli M, Moser M, Meier M, Braunfahrländer C, Basel S. Health symptoms associated with electromagnetic radiation-a questionnaire survey; 2002.
Santini R, Santini P, Danze J, Le Ruz P, Seigne M. Study of the health of people living in the vicinity of mobile phone base stations: I. influences of distance and sex. Pathol Biol. 2002;50(369):369–73.
TP. Heavy cell phone use linked to depression, sleep problems in young people. Available from: http://psychcentral.com/news/2012/06/17/heavy-cell-phone-use-linked-to-depression-sleep-problems-inyoung-people/40262.html. Accessed 2012.
Adams SK, Kisler TS. Sleep quality as a mediator between technology-related sleep quality, depression, and anxiety. Cyberpsychol Behav Soc Netw. 2013;16(1):25–30.
Thomée S, Härenstam A, Hagberg M. Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults-a prospective cohort study. BMC Public Health. 2011;11(1):1–11.
Azuki T. Today’s mobile phone users: current and emerging trends. Cyber Psych Behav. 2008;12(2):334–50.
Billieux J, Van der Linden M, Rochat L. The role of impulsivity in actual and problematic use of the mobile phone. Appl Cogn Psychol. 2008;22(9):1195–210.
Walsh SP, White KM, Young RM. Over-connected? A qualitative exploration of the relationship between Australian youth and their mobile phones. J Adolesc. 2008;31(1):77–92.
Hawi NS, Samaha M. Relationships among smartphone addiction, anxiety, and family relations. Behav Inform Technol. 2017;36(10):1046–52.
Sapacz M, Rockman G, Clark J. Are we addicted to our cell phones? Comput Hum Behav. 2016;57:153–9.
Lovibond SH, Lovibond PF. Manual for the depression anxiety stress scales. Australia: Psychology Foundation of Australia; 1996.
Henry JD, Crawford JR. The short-form version of the depression anxiety stress scales (DASS-21): construct validity and normative data in a large non-clinical sample. Br J Clin Psychol. 2005;44(2):227–39.
Golmohammadian M, Yyaseminejad P. Normalization, validity and reliability of cell-phone over-use scale (COS) among university students. J Soc Psychol. 2011;6(19):37-52.
Jenaro C, Flores N, Gómez-Vela M, González-Gil F, Caballo C. Problematic internet and cell-phone use: psychological, behavioral, and health correlates. Addict Res Theory. 2007;15(3):309–20.
Choksi ST, Patel N. A study to find out the correlation of mobile phone addiction with anxiety, depression, stress and sleep quality in the college students of Surat city. Int J Curr Res Rev. 2021;13:137–42.
Bidi, Namdari Pezhman M, Amani A, Ghanbari S, Kareshki H. Structural analysis of relationship of internet addiction with depression, social adjustment and self-esteem. Avicenna journal of. Clin Med. 2012;19(3):41–8.
Oqbaee S, Kakavand A, Bahrami Hidachi M. The relationship between depression and internet addiction with intervention of alexithymia. Journal of. Psychol Stud. 2018;14(1):163–81.
Jun S. The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Comput Hum Behav. 2016;58:179–86.
Ayadi N, Abbasi M, Pirani Z, Tagvaie D, Pirani A. The relationship between emotions' control, distress tolerance and harmful use of cell phones among students. Inform Commun Technol Educ Sci. 2016;7(1 (25)):115–32.
Tas I. Association between depression, anxiety, stress, social support, resilience and internet addiction: A structural equation Modelling. Malaysian Online J Educ Technol. 2019;7(3):1–10.
Kil N, Kim J, McDaniel JT, Kim J, Kensinger K. Examining associations between smartphone use, smartphone addiction, and mental health outcomes: A cross-sectional study of college students. Health Promot Perspect. 2021;11(1):36.
Volungis AM, Kalpidou M, Popores C, Joyce M. Smartphone addiction and its relationship with indices of social-emotional distress and personality. Int J Ment Heal Addict. 2020;18(5):1209–25.
Zanjani Z, Moghbeli Hanzaii M, Mohsenabadi H. The relationship of depression, distress tolerance and difficulty in emotional regulation with addiction to cell-phone use in students of Kashan University. Feyz J Kashan Univ Med Sci. 2018;22(4):411–20.
Meyerhoff J, Liu T, Kording KP, Ungar LH, Kaiser SM, Karr CJ, et al. Evaluation of changes in depression, anxiety, and social anxiety using smartphone sensor features: longitudinal cohort study. J Med Internet Res. 2021;23(9):e22844.
Samaha M, Hawi NS. Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Comput Hum Behav. 2016;57:321–5.
Ezoe STM, Yoshimura K, Naritomi A, Den R, Morimoto K. Relationships of personality and lifestyle with mobile phone dependence among female nursing students. Soc Behav Pers. 2009;37(2):231–8.
Ohannessian CM. Media use and adolescent psychological adjustment: an examination of gender differences. J Child Fam Stud. 2009;18(5):582–93.
David ME, Roberts JA. Smartphone use during the COVID-19 pandemic: social versus physical distancing. Int J Environ Res Public Health. 2021;18:1034.
Huckins JF, Dasilva AW, Wang W, Hedlund E, Rogers C, Nepal SK, et al. Mental health and behavior of college students during the early phases of the COVID-19 pandemic: longitudinal smartphone and ecological momentary assessment study. J Med Internet Res. 2020;22:e20185.
The authors hereby express their gratitude and appreciation to all the participants in this project, especially the students of Lorestan University of Medical Sciences.
This study was funded by Lorestan University of Medical Sciences.
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All experimental protocols were approved by the ethics committee of [Lorestan University of Medical Sciences] and the ethical code is: IR.LUMS.REC.1397-1-99-1253. Written informed consent and verbal agreement was taken from all participants.
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Hashemi, S., Ghazanfari, F., Ebrahimzadeh, F. et al. Investigate the relationship between cell-phone over-use scale with depression, anxiety and stress among university students. BMC Psychiatry 22, 755 (2022). https://doi.org/10.1186/s12888-022-04419-8
- Mental health
- Cell phone over use