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MINI REVIEW article

Front. Psychiatry, 15 September 2020
Sec. Addictive Disorders
This article is part of the Research Topic Excessive and Problematic Smartphone Usage View all 13 articles

The Psychology of Addictive Smartphone Behavior in Young Adults: Problematic Use, Social Anxiety, and Depressive Stress

  • Department of Teacher Training, University of Craiova, Craiova, Romania

This review enhances the existing literature on relationships between problematic smartphone use (PSU), psychopathology, addictive personality, and online social engagement as regards young adults, giving attention to predictive determinants of addictive behavior in smartphone usage. My article cumulates previous research findings on the psychology of addictive smartphone behavior in terms of problematic use, social anxiety, and depressive stress by focusing on the relationship among mobile social media usage, smartphone addiction risk, mental health issues, and individual well-being. The inspected collected findings prove that depression and social anxiety constitute risk determinants for greater PSU and that particular categories of smartphone applications are positively related to well-being. State anxiety and motivations represent significant predictors of PSU. High PSU affects participation in social engagement. As limitations in the current review, my results point towards relevant avenues of research on social consequences of teenagers’ smartphone problematic use. Future directions should clarify whether compulsive smartphone use adversely affects both mental and physical health in the long run.

Introduction

Problematic smartphone use (PSU) is a complex phenomenon comprising diverse dysfunctional manifestations (e.g. social isolation, diminished self-confidence, depression, and anxiety) without being a potential behavioral addiction (1). Smartphones may have negative consequences on the human brain and associated psychological processes. Based on psychiatric symptoms, various kinds of smartphone use disorder have been identified, some of them associated with Internet communication, particularly as PSU is related to depression and self-esteem (2). I will extend the argument by positing that as PSU is negatively related to young adults’ psychosocial well-being, time spent using smartphones influences mental health. I initially undertook a review of Web of Science in November 2019, supplemented with updates from this database and from Scopus and ProQuest in May 2020. Search terms included “smartphone addiction”, “smartphone addiction risk”, “smartphone addiction predisposition”, “addictive smartphone behavior”, “problematic smartphone use”, and “compulsive smartphone use”. As I focused on journal articles published between 2017 and 2020, excluding editorial material, only 267 original research and review articles met the eligibility criteria. By removing those whose results were inconclusive, unconfirmed by replication or too general, and because of space constraints, I selected only 67 articles (Table 1). My review provides evidence that PSU is adversely associated with diverse notions of well-being and that symptoms of psychopathology are related to severity of PSU, with flimsy evidence though that smartphone use can be addictive as drug and alcohol use disorders are.

TABLE 1
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Table 1 Topics and types of papers identified and selected.

PSU and Depression Psychopathology

PSU is sometimes positively associated with adolescent depression. As an illustration, perceived social support moderates the relationship between procrastination and adolescent depression, being relevant only for teenagers having a low degree of perceived social support (3). For such teenagers, the connection between sensation seeking and smartphone use is positively relevant, while for teenagers having a significant degree of perceived social support, the link between sensation seeking and PSU is strong (4). PSU, stress degrees, and perceived social support are more significant among women students (5). Self-command, apprehension, depression, and dysfunctional impulsivities are the most significant predictors of PSU (6), and certain groups of patients having schizophrenia may necessitate special care to hinder PSU (7). Unsociable persons may depend on smartphone wishing to be connected with and obtain support from other users, while possibly leading up to confronting PSU (8).

Difficulties appear when users are addicted to their smartphone, spending an excessive quantity of time using it. Dysfunctional symptoms of PSU mirror substance use disorder criteria (911). An immoderate utilization of smartphones leads to symptomatology reminiscent of psychological disorders generated by substance addiction (12). Smartphones are memory extenders, functioning as convenient data depository from the ordinary to the intricate (13).

PSU has public health relevance (14) because of irrefutable links with alcohol use, particular mental health diagnoses (e.g. depression, anxiety, ADHD, PTSD, etc.), and inferior academic performance (15). Depressive disorders mediate the link between academic stress and PSU. Individuals having lower or moderate degrees of problem-focused coping are likely to display more depressive symptoms, generating a higher score on PSU (16). The adverse association between smartphone use and academic performance may result in an addictive behavior that may affect students’ careers (17).

PSU is associated with anxiety symptom severity and depression psychopathology, shaping personality factors, self-esteem, and perceived social support. Psychological distress, addictive personality, and emotion dysregulation are instrumental in configuring PSU severity.

Cognitive Behavioral Processes and PSU

The effect of cognitive absorption on PSU is mediated by addiction to social media. PSU is higher than social media excessive use (18) and differs by educational expertise, while social media practice is not dissimilar by gender, age, or instruction. Investigating users’ degrees of cognitive absorption (their state of participation in software and technology) with PSU may be instrumental in grasping the influence of user experiences in computer-mediated settings. Individuals dependent on smartphones and social media undergo significant degrees of cognitive absorption (19), especially by women when using social media and higher for social media than smartphones. Therefore, users reporting PSU communicate more significant degrees of cognitive absorption than those disclosing inferior degrees of addiction (20), while users having low degrees of PSU display more significant levels of cognitive absorption than those having no degree of PSU. Grasping user experiences or opinions impact user behavior (21), and clarifies how users become immersed in technology. The impact of user experiences and the association with PSU involves how individuals participate in technology (22) and may become thoroughly absorbed in it, in some cases to a troublesome extent (23).

Smartphone application personalities such as collaborative and ambitious, captivating and appealing, communicative and rigorous, and conscientious and righteous all indicate the robust interactive attribute of such devices. Smartphone users’ behaviors, smartphone social applications that link individuals, and perceived social capital resulted via smartphone social application practice drive smartphone application personality. Besides having hedonic value, leisure applications can be instrumental in social capital in addition to the smartphone application personality aspects (24). Context-awareness is assimilable into the system to adequately detect a smartphone user taking into account the corresponding information. Smartphones are increasingly cognitive and context-aware (25) with developing perceiving, interconnection, and computing capabilities. As soon as a user is located, his/her activities can be monitored for health supervision (26), social networking scrutiny, and prediction and modeling of way of living. Ceaseless authentication of smartphone users can be inspected in conformity with their behavioral features employing activity pattern identification (27). Because of this, functional dependence of PSU draws attention to instrumental practicality of the smartphone (functionally dependent users tend to be more inclined to change PSU), while existential dependence of PSU addresses compulsive, frequently unconscious, attachment (existential dependent users tend to be more disinclined in acknowledging adverse consequences) (28).

Behavioral addiction and pathological personality traits clarify depression and anxiety’s associations with PSU-related dysfunctional mechanisms and motivational processes, impacting subjective and psychological well-being.

Addictive Smartphone Behavior and Physical Health

Physical negative effects are rooted in excessive smartphone use (29). However, addictive smartphone behavior may resemble addiction as regards immoderate use (30), impulse control issues, and adverse effects, without being a disorder with serious consequences on physical and psychological health (31). For example, smartphone texting is associated with a more immobile and more tense spinal position in contrast to desktop computer typing (32). Persistent neck flexion throughout smartphone represents a determinant of neck discomfort and modification of neck muscle performance. Shoulder taping diminishes neck pain without impacting neck muscle performance and tiredness during smartphone texting (33).

Excessive smartphone use also generates poor mental health outcomes, e.g. depressive symptoms and sleep issues (34). Concerning smartphone and social platform adoption, positive results are associated with social capital and involvement (35), while detrimental consequences develop out of excessive use, negative correlations, and the anxiety of being perpetually active. As an illustration, not employing smartphones in the bedroom boosts the standard of living, and risk of smartphone overuse diminishes when such devices are kept outside the bedroom. Sleeping without smartphones enhances sleep quality, relationships, motivation, and good physical condition (36). PSU can bring about mobility issues in the wrists, fingers and neck, in addition to intrusion into sleep habits. For teenagers, the quality of sleep impacts growth, emotional constancy, and learning abilities, and thus the handling of PSU is decisive for adequate sleeping habits (37).

Higher sensation seeking persons may be particularly at risk of PSU. Smartphones may enable individuals to be involved in a range of undertakings (38) and assist them in alleviating leisure boredom. More significant levels of leisure boredom and sensation seeking (39) have a positive link with a higher degree of smartphone overuse. Smartphones may be addictive, and their users aiming to attain various purposes can become extremely dependent on them. Individuals having stronger and more straightforward grounds to attempt to accomplish objectives on their smartphones (40) are more predisposed to have a more significant level of smartphone overuse (41).

Excessive smartphone use may lead to addictive smartphone behavior that may result in physical and psychological negative effects, impacting, among others, neck muscle performance and sleep quality.

Smartphone Use and Social Anxiety

There is a moderate link between smartphone use and stress and anxiety (42), but depression severity and anxiety severity are significantly associated with excessive smartphone use (43). State anxiety and motivations represent significant predictors of PSU. State anxiety moderates the link between leisure and social interaction motivations and PSU for the high smartphone-use group, while not moderating such relationship for the low smartphone-use group (44). Bringing together various functions, smartphones supply teenagers with multiple entertainment prospects to alleviate leisure boredom. Smartphone adoption for both interpersonal networking and relaxation (45) has important and direct consequences on smartphone overuse (46), while individuals who use smartphones for news pursuit are not affected by PSU. Incapacity to regulate addiction, escape, anxiety, and productivity loss all constitute a variety of smartphone users’ behavioral effects from PSU (41). Significant alienation can escalate PSU (47).

Despite the fact that the compulsive nature of smartphone users is less relevant than extraversion in giving rise to smartphone social application practice, smartphone application personality, and social capital constitution, such devices are beneficial for persons high in anxiety to obtain social capital. The self-observing and selectiveness characteristics of bonding social capital drive it to be negatively instrumental in the collaborative and appealing smartphone application personality (24). Thus, depression and social anxiety constitute risk determinants for greater PSU. Specifically, body image dissatisfaction is a positive predictor of PSU. Social anxiety is a relevant mediator between body image dissatisfaction and PSU. Along with it, for socially anxious persons, smartphone-based online networking is less nerve-racking than offline social one. Emotionally traumatic experiences are related to PSU in teenagers and this link may be somewhat clarified by body image dissatisfaction and psychosocial risk determinants (48).

Depression and social anxiety are correlates of PSU. Psychopathological symptoms, interpersonal sensitivity, and smartphone use articulate the behavioral dynamics of social anxiety symptom severity.

Stress, Subjective and Psychological Well-Being, and PSU

PSU is adversely associated with diverse notions of well-being, e.g. subjective contentment, mental health, and depression or stress disorders. Adverse affect, self-determination, and environmental proficiency have negative associations with PSU. Well-being and accompanying dispositional determinants may bring about perceived and actual PSU. Considering the steady and dispositional character of well-being (49), such links are regulated by a shared intrinsic predisposition to experience anxiety, deleterious emotions, and an absence of control, integrated into a propensity to get involved in dysfunctional coping and compulsive behavior (50). Depression, anxiety, and self-control are thus risk determinants or results of PSU that is also compulsive, typified by immoderate time spent on smartphones, invasion of social networking and responsibilities, and stress in detaching from such devices (51). Perceived stress is positively associated with adolescent smartphone overuse. Self-regulation mediates the association between perceived stress and smartphone addiction. The direct and indirect consequences are moderated by mindfulness, being more relevant for persons with inferior degrees of mindfulness (52).

Total application screen time is related to relationship conflict, in addition to anxiety and depression. The adoption of smartphones to interact with friends causes emotional states of deception, remorse, and feeling stressed out to respond promptly to their smartphone communications. Increased smartphone adoption results in problematic use (19) as the outward world effortlessly permeates users’ private lives. Smartphones enable the adjustability and non-confinement to collect information, have fun, and interact, with few impediments, while users are also under compulsion to their mobile devices. Particular categories of smartphone applications are positively related to well-being, but the predisposition for incessant connection has generated a range of problems associated with PSU (53). Smartphones may be instrumental in sharing any instinctive reflection or experience with users’ social networks. Egocentric teenagers’ validation-seeking on social media, especially as a manner to surmount social exclusion (54), may have unwelcome repercussions (38) and eventually results in a developing model of counterproductive behavior. Earlier teenage egocentrism predicts later social media disclosure, PSU, and interactional stress, through increased validation-seeking. Smartphones are equipped to boost teenagers’ persistent utilization of social media (49) for intentions of assertiveness, interpersonal relationship, and social attention (55), thus generating higher degrees of stress and dependency associated with such devices (56).

Both process- and social-led smartphone characteristic uses are associated with greater PSU (that is excessive utilization of smartphones increases risk of PSU) (57). PSU has certain patterns depending on age, with preponderance of authority, mood alteration, and discord in prepubescence, and patience, withdrawal symptoms, and indisposition in pubescence (58). For example, grandiose narcissism is positively related to PSU, while the consequence of vulnerable narcissism is entirely mediated by disinterest (59). PSU also can deteriorate teenage self-esteem, procrastination mediating the association between them (60), and more, teenagers are prone to addiction by lacking the strength to regulate impulsive behavior (61). Students having a relationship make more significant use of smartphones than those who are partnerless (62).

PSU shapes subjective and psychological well-being, and may configure associated anxiety and depression psychopathology. Mental health and somatic symptoms are adversely impacted by PSU leading to impaired socio-emotional functioning and possibly causing psychological distress.

Parental Neglect and PSU

Users’ psychological features may not clarify every characteristic of PSU. High PSU affects participation in social engagement. Users’ absence of social networks may hinder agreeable social communications (49) and emotional states of encouragement in the offline setting, which may intensify their intention to escape to smartphones. As persons having PSU pursue more straightforward interactions than those undergone in the concrete realm (63), smartphones may have distinct consequences on their social ways of life than other users’. Formal organizational involvement, level of interaction with parents, dimension of the peer group, and fellow support diminish PSU (64). Depression moderates the association between sensation seeking and adolescent PSU. Sensation seeking is positively related to adolescent smartphone problematic use. For teenagers having an inferior degree of depression, the link between sensation seeking and PSU is positively relevant, while for teenagers having a significant degree of depression, the connection between sensation seeking and PSU is not relevant (4).

Parental neglect is considerably related to teenagers’ smartphone addiction. In the link between parental neglect and PSU, the former is not relevantly connected with the relational instability with peers, negatively shaping PSU. The relational instability with teachers has a fragmentary mediation impact between parental neglect and PSU (65). Parents who have significant degrees of risk perception and mediation performance are more predisposed to carry out restrictive mediation of the Internet and mobile devices use by their children. Children who have unsatisfactory academic performance, depression, possess smartphones, frequently play tablet gaming, and routinely use social media and instant messaging have inferior degrees of parental restrictive mediation and of acknowledged online safety knowledge, while being more inclined to experience PSU (66). Interpersonal adaptation mediates the link between parental attachment and PSU, and is moderated by self-control, being more intense for persons having lower self-control (67).

Parenting style and attachment may mediate young adults’ smartphone use, improving interpersonal adaptation and self-control, while articulating family well-being. Young adults’ addictive personality may be shaped by parental mediation practices and self-regulation.

Conclusions

Significant research has considered lately the psychology of addictive smartphone behavior in terms of problematic use, social anxiety, and depressive stress. My article extends previous work by focusing on the relationship among mobile social media usage, smartphone addiction risk, mental health issues, and individual well-being. Progressively relevant degrees of smartphone ownership and utilization give rise to the implicit risk for addictive behaviors and adverse health results, shaping subjective and psychological well-being. The conclusions drawn from the above analyses are that depression and anxiety symptoms are associated with PSU severity, generating, among others, emotion dysregulation, psychological distress, poor sleep quality, and diminished academic performance. Personality traits, social-emotional distress, and duration of daily smartphone use constitute antecedents of PSU, impacting subjective and psychological well-being. As limitations in the current review, my results point towards relevant avenues of research on social consequences of young adults’ smartphone addiction. Future directions should clarify whether compulsive smartphone use adversely affects both mental and physical health in the long run.

Author Contributions

The author confirms being the sole contributor of this work and approved it for publication.

Conflict of Interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Pivetta E, Harkin L, Billieux J, Kanjo E, Kuss DJ. Problematic smartphone use: An empirically validated model. Comput Hum Behav (2019) 100:105–17. doi: 10.1016/j.chb.2019.06.013

CrossRef Full Text | Google Scholar

2. Bratu S. Fear of missing out, improper behavior, and distressing patterns of use. An empirical investigation. Linguist Philos Invest (2018) 17:130–40. doi: 10.22381/LPI1720187

CrossRef Full Text | Google Scholar

3. Wang P, Liu S, Zhao M, Yang X, Zhang G, Chu X, et al. How is problematic smartphone use related to adolescent depression? A moderated mediation analysis. Children Youth Serv Rev (2019) 104:104384. doi: 10.1016/j.childyouth.2019.104384

CrossRef Full Text | Google Scholar

4. Wang P, Lei L, Wang X, Nie J, Chu X, Jin S. The exacerbating role of perceived social support and the “buffering” role of depression in the relation between sensation seeking and adolescent smartphone addiction. Pers Individ Dif (2018) 130:129–34. doi: 10.1016/j.paid.2018.04.009

CrossRef Full Text | Google Scholar

5. Gökçearslan Ş., Uluyol Ç., Şahin S. Smartphone addiction, cyberloafing, stress and social support among university students: A path analysis. Children Youth Serv Rev (2018) 91:47–54. doi: 10.1016/j.childyouth.2018.05.036

CrossRef Full Text | Google Scholar

6. Rho MJ, Park J, Na E, Jeong J-E, Kim JK, Kim D-J, et al. Types of problematic smartphone use based on psychiatric symptoms. Psychiatry Res (2019) 275:46–52. doi: 10.1016/j.psychres.2019.02.071

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lee J-Y, Chung Y-C, Kim S-Y, Kim JM, Shin IS, Yoon JS, et al. Problematic smartphone use and related factors in young patients with schizophrenia. Asia–Pacific Psychiatry (2019) 11:e12357. doi: 10.1111/appy.12357

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kim J-H. Psychological issues and problematic use of smartphone: ADHD’s moderating role in the associations among loneliness, need for social assurance, need for immediate connection, and problematic use of smartphone. Comput Hum Behav (2018) 80:390–8. doi: 10.1016/j.chb.2017.11.025

CrossRef Full Text | Google Scholar

9. Elhai JD, Levine JC, Hall BJ. Problematic smartphone use and mental health problems: Current state of research and future directions. Dusunen Adam: J Psychiatry Neurol Sci (2019a) 32:1–3. doi: 10.1177/0894439316685540

CrossRef Full Text | Google Scholar

10. Lee Y-K, Chang C-T, Cheng Z-H, Lin Y. How social anxiety and reduced self-efficacy induce smartphone addiction in materialistic people. Soc Sci Comput Rev (2018) 36:36–56. doi: 10.1177/0894439316685540

CrossRef Full Text | Google Scholar

11. Roh D, Bhang S-Y, Choi J-S, Kweon YS, Lee S-K, Potenza MN. The validation of Implicit Association Test measures for smartphone and Internet addiction in at-risk children and adolescents. J Behav Addict (2018) 7:79–87. doi: 10.1556/2006.7.2018.02

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Simó-Sanz C, Ballestar-Tarín ML, Martínez-Sabater A. Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population. PloS One (2018) 13:e0205389. doi: 10.1371/journal.pone.0205389

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Fjortoft N, Gettig J, Verdone M. Smartphones, memory, and pharmacy education. Am J Pharm Educ (2018) 82:7054. doi: 10.5688/ajpe7054

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Chessell D. Smartphone addiction and its relationship with mental health and psychosocial well-being: The role of depression, anxiety, and personality factors. Anal Metaphys (2019) 18:57–63. doi: 10.22381/AM1820198

CrossRef Full Text | Google Scholar

15. Grant JE, Lust K, Chamberlain SR. Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity. J Behav Addict (2019) 8:335–42. doi: 10.1556/2006.8.2019.32

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Xu T-T, Wang H-Z, Fonseca W, Zimmerman MA, Rost DH, Gaskin J, et al. The relationship between academic stress and adolescents’ problematic smartphone usage. Addict Res Theory (2019) 27:162–9. doi: 10.1080/16066359.2018.1488967

CrossRef Full Text | Google Scholar

17. Giunchiglia F, Zeni M, Gobbi E, Bignotti E, Bison I. Mobile social media usage and academic performance. Comput Hum Behav (2018) 82:177–85. doi: 10.1016/j.chb.2017.12.041

CrossRef Full Text | Google Scholar

18. Mirică (Dumitrescu) C-O. Judgments and decision making in consumer behavior: The use of psychophysiological measures to investigate emotions and cognitive responses. Econ Manage Financ Mark (2018) 13:39–44. doi: 10.22381/EMFM13420182

CrossRef Full Text | Google Scholar

19. Lăzăroiu G, Pera A, Ștefănescu-Mihăilă RO, Mircică N, Negurită O. Can neuroscience assist us in constructing better patterns of economic decision-making? Front Behav Neurosci (2017a) 11:188. doi: 10.3389/fnbeh.2017.00188

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Drugău-Constantin A. Is consumer cognition reducible to neurophysiological functioning? Econ Manage Financ Mark (2019) 14:9–14. doi: 10.22381/EMFM14120191

CrossRef Full Text | Google Scholar

21. Shackelford V. The neurocognitive consequences of Facebook addiction. Am J Med Res (2018) 5:97–102. doi: 10.22381/AJMR51201810

CrossRef Full Text | Google Scholar

22. Sion G. Smart educational ecosystems: Cognitive engagement and machine intelligence algorithms in technology-supported learning environments. Anal Metaphys (2018) 17:140–5. doi: 10.22381/AM1720189

CrossRef Full Text | Google Scholar

23. Barnes SJ, Pressey AD, Scornavacca E. Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services. Comput Hum Behav (2019) 90:246–58. doi: 10.1016/j.chb.2018.09.013

CrossRef Full Text | Google Scholar

24. Tan W-K, Hsiao Y-J, Tseng S-F, Chan C-L. Smartphone application personality and its relationship to personalities of smartphone users and social capital accrued through use of smartphone social applications. Telematics Inf (2018) 35:255–66. doi: 10.1016/j.tele.2017.11.007

CrossRef Full Text | Google Scholar

25. Sion G. Social media-based self-expression: Narcissistic performance, public adoration, and the commodification of reified persona. Contemp Read Law Soc Justice (2019) 11:70–5. doi: 10.22381/CRLSJ112201910

CrossRef Full Text | Google Scholar

26. Nica E, Kliestik T, Sabie O-M, Ioanei (Gatan) M-L. Socio-affective technologies for psychological health: Emotional artificial intelligence in empathetic robots. Am J Med Res (2020) 7:9–14. doi: 10.22381/AJMR7220201

CrossRef Full Text | Google Scholar

27. Ehatisham-ul-Haq M, Azam MA, Naeem U, Amin Y, Loo J. Continuous authentication of smartphone users based on activity pattern recognition using passive mobile sensing. J Netw Comput Appl (2018) 109:24–35. doi: 10.1016/j.jnca.2018.02.020

CrossRef Full Text | Google Scholar

28. Park CS. Examination of smartphone dependence: Functionally and existentially dependent behavior on the smartphone. Comput Hum Behav (2019) 93:123–8. doi: 10.1016/j.chb.2018.12.022

CrossRef Full Text | Google Scholar

29. Elhai JD, Levine JC, Hall BJ. The relationship between anxiety symptom severity and problematic smartphone use: A review of the literature and conceptual frameworks. J Anxiety Disord (2019b) 62:45–52. doi: 10.1016/j.janxdis.2018.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Mircică N. Mobile visualities and technologically-mediated relationships: How images are shaping online users’ social lives. Anal Metaphys (2018) 17:146–51. doi: 10.22381/AM17201810

CrossRef Full Text | Google Scholar

31. Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict (2018) 7:252–9. doi: 10.1016/j.apergo.2017.10.018

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Xie YF, Szeto G, Madeleine P, Tsang S. Spinal kinematics during smartphone texting – A comparison between young adults with and without chronic neck-shoulder pain. Appl Ergon (2018) 68:160–8. doi: 10.1016/j.apergo.2017.10.018

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Areeudomwong P, Oapdunsalam K, Havicha Y, Tantai S, Buttagat V. Effects of shoulder taping on discomfort and electromyographic responses of the neck while texting on a touchscreen smartphone. Saf Health at Work (2018) 9:319–25. doi: 10.1016/j.shaw.2017.07.004

CrossRef Full Text | Google Scholar

34. Thomée S. Mobile phone use and mental health: A review of the research that takes a psychological perspective on exposure. Int J Environ Res Public Health (2018) 15, 2692. doi: 10.3390/ijerph15122692

CrossRef Full Text | Google Scholar

35. Mirică (Dumitrescu) C-O. The behavioral economics of decision making: Explaining consumer choice in terms of neural events. Econ Manage Financ Mark (2019) 14(1):16–20. doi: 10.22381/EMFM14120192

CrossRef Full Text | Google Scholar

36. Hughes N, Burke J. Sleeping with the frenemy: How restricting ‘bedroom use’ of smartphones impacts happiness and wellbeing. Comput Hum Behav (2018) 85:236–44. doi: 10.1016/j.chb.2018.03.047

CrossRef Full Text | Google Scholar

37. Chung JE, Choi SA, Kim KT, Yee J, Kim JH, Seong JW, et al. Smartphone addiction risk and daytime sleepiness in Korean adolescents. J Paediatr Child Health (2018) 54:800–6. doi: 10.1111/jpc.13901

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Lăzăroiu G, Pera A, Ştefănescu-Mihăilă RO, Bratu S, Mircică N. The cognitive information effect of televised news. Front Psychol (2017b) 8:1165. doi: 10.3389/fpsyg.2017.01165

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Mircică N. The ethics of envy on Facebook. Anal Metaphys (2017) 16:124–30. doi: 10.22381/AM1620178

CrossRef Full Text | Google Scholar

40. Rothchild N. Is troublesome Facebook use a behavioral addiction? Am J Med Res (2018) 5:73–8. doi: 10.22381/AJMR5120186

CrossRef Full Text | Google Scholar

41. Jiang Q, Li Y. Factors affecting smartphone dependency among the young in China. Asian J Commun (2018) 28:508–25. doi: 10.1080/01292986.2018.1431296

CrossRef Full Text | Google Scholar

42. Vahedi Z, Saiphoo A. The association between smartphone use, stress, and anxiety: A meta-analytic review. Stress Health (2018) 34:347–58. doi: 10.1002/smi.2805

PubMed Abstract | CrossRef Full Text | Google Scholar

43. 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. doi: 10.1016/j.jad.2016.08.030

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Shen X, Wang H-Z, Rost DH, Gaskin J, Wang J-L. State anxiety moderates the association between motivations and excessive smartphone use. Curr Psychol (2019). doi: 10.1007/s12144-019-0127-5

CrossRef Full Text | Google Scholar

45. Bratu S. Psychological and contextual risk factors related to problematic smartphone use: Depression and anxiety symptom severity. Anal Metaphys (2019) 18:64–70. doi: 10.22381/AM1820199

CrossRef Full Text | Google Scholar

46. Burwell C, Lăzăroiu G, Rothchild N, Shackelford V. Social networking site use and depressive symptoms: Does Facebook activity lead to adverse psychological health? Linguist Philos Invest (2018) 17:141–58. doi: 10.22381/LPI1720188

CrossRef Full Text | Google Scholar

47. Lian L. Alienation as Mediator and Moderator of the Relationship between Virtues and Smartphone Addiction among Chinese University Students. Int J Ment Health Addict (2018) 16:1208–18. doi: 10.1007/s11469-017-9842-z

CrossRef Full Text | Google Scholar

48. Emirtekin E, Balta S, Sural İ., Kircaburun K, Griffiths MD, Billieux J. The role of childhood emotional maltreatment and body image dissatisfaction in problematic smartphone use among adolescents. Psychiatry Res (2019) 271:634–9. doi: 10.1016/j.psychres.2018.12.059

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Pera A. Do incessant comparisons on social media generate Facebook envy? Anal Metaphys (2017) 16:117–23. doi: 10.22381/AM1620177

CrossRef Full Text | Google Scholar

50. Horwood S, Anglim J. Problematic smartphone usage and subjective and psychological well-being. Comput Hum Behav (2019) 97:44–50. doi: 10.1016/j.chb.2019.02.028

CrossRef Full Text | Google Scholar

51. Coyne SM, Stockdale L, Summers K. Problematic cell phone use, depression, anxiety, and self-regulation: Evidence from a three year longitudinal study from adolescence to emerging adulthood. Comput Hum Behav (2019) 96:78–84. doi: 10.1016/j.chb.2019.02.014

CrossRef Full Text | Google Scholar

52. Liu Q-Q, Zhang D-J, Yang X-J, Zhang C-Y, Fan C-Y, Zhou Z-K. Perceived stress and mobile phone addiction in Chinese adolescents: A moderated mediation model. Comput Hum Behav (2018) 87:247–53. doi: 10.1016/j.chb.2018.06.006

CrossRef Full Text | Google Scholar

53. David ME, Roberts JA, Christenson B. Too much of a good thing: Investigating the association between actual smartphone use and individual well-being. Int J Human–Computer Interact (2018) 34:265–75. doi: 10.1080/10447318.2017.1349250

CrossRef Full Text | Google Scholar

54. Drugău-Constantin A. Emotional and cognitive reactions to marketing stimuli: Mechanisms underlying judgments and decision making in behavioral and consumer neuroscience. Econ Manage Financ Mark (2018) 13:46–50. doi: 10.22381/EMFM13420183

CrossRef Full Text | Google Scholar

55. Burwell C. Is pathological Facebook use related to poor emotion regulation skills? Am J Med Res (2018) 5:79–84. doi: 10.22381/AJMR5120187

CrossRef Full Text | Google Scholar

56. Hawk ST, Eijnden RJJM, Lissa C, Bogt TFMT. Narcissistic adolescents’ attention-seeking following social rejection: Links with social media disclosure, problematic social media use, and smartphone stress. Comput Hum Behav (2019) 92:65–75. doi: 10.1016/j.chb.2018.10.032

CrossRef Full Text | Google Scholar

57. Contractor AA, Weiss NH, Elhai JD. Examination of the relation between PTSD symptoms, smartphone feature uses, and problematic smartphone use. Soc Sci Comput Rev (2019) 37:385–403. doi: 10.1177/0894439318770745

CrossRef Full Text | Google Scholar

58. Csibi S, Griffiths MD, Demetrovics Z, Szabo A. Analysis of problematic smartphone use across different age groups within the ‘Components Model of Addiction’. Int J Ment Health Addict (2019). doi: 10.1007/s11469-019-00095-0

CrossRef Full Text | Google Scholar

59. Ksinan AJ, Mališ J, Vazsonyi AT. Swiping away the moments that make up a dull day: Narcissism, boredom, and compulsive smartphone use. Curr Psychol (2019). doi: 10.1007/s12144-019-00228-7

CrossRef Full Text | Google Scholar

60. Wang P, Lei L. How does problematic smartphone use impair adolescent self-esteem? A moderated mediation analysis. Curr Psychol (2019). doi: 10.1007/s12144-019-00232-x

CrossRef Full Text | Google Scholar

61. Jo H-s, Na E, Kim D-J. The relationship between smartphone addiction predisposition and impulsivity among Korean smartphone users. Addict Res Theory (2018) 26:77–84. doi: 10.1080/16066359.2017.1312356

CrossRef Full Text | Google Scholar

62. Nayak JK. Relationship among smartphone usage, addiction, academic performance and the moderating role of gender: A study of higher education students in India. Comput Educ (2018) 123:164–73. doi: 10.1016/j.compedu.2018.05.007

CrossRef Full Text | Google Scholar

63. Robson T. Fear of missing out – An essential correlate of social networking site addiction. Am J Med Res (2018) 5:85–90. doi: 10.22381/AJMR5120188

CrossRef Full Text | Google Scholar

64. Ihm J. Social implications of children’s smartphone addiction: The role of support networks and social engagement. J Behav Addict (2018) 7:473–81. doi: 10.1556/2006.7.2018.48

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Kwak JY, Kim JY, Yoon YW. Effect of parental neglect on smartphone addiction in adolescents in South Korea. Child Abuse Negl (2018) 77:75–84. doi: 10.1016/j.chiabu.2017.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Chang F-C, Chiu C-H, Chen P-H, Chiang J-T, Miao N-F, Chuang H-Y, et al. Children’s use of mobile devices, smartphone addiction and parental mediation in Taiwan. Comput Hum Behav (2019) 93:25–32. doi: 10.1016/j.chb.2018.11.048

CrossRef Full Text | Google Scholar

67. Zhang Y, Tan D-l, Lei T-t. Parental attachment and problematic smartphone use among Chinese young adults: A moderated mediation model of interpersonal adaptation and self-control. J Adult Dev (2019). doi: 10.1007/s10804-019-09331-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: smartphone, behavior, anxiety, depression, stress

Citation: Pera A (2020) The Psychology of Addictive Smartphone Behavior in Young Adults: Problematic Use, Social Anxiety, and Depressive Stress. Front. Psychiatry 11:573473. doi: 10.3389/fpsyt.2020.573473

Received: 08 July 2020; Accepted: 28 August 2020;
Published: 15 September 2020.

Edited by:

Aviv M. Weinstein, Ariel University, Israel

Reviewed by:

Deena Marie Walker, Oregon Health and Science University, United States
Cheng-Fang Yen, Kaohsiung Medical University, Taiwan
Jung-Seok Choi, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, South Korea

Copyright © 2020 Pera. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Aurel Pera, YXVyZWwucGVyYS51Y3ZAZ21haWwuY29t

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