Examining the Empirical Links Between Digital Social Pressure,Personality,Psychological Distress,Social Support,Users’ Residential Living Conditions,and Smartphone Addiction

Abstract

Based on the recent scientific literature on the social ecology of smartphone addiction, we have examined the empirical relationship between social digital pressure (SDP) and smartphone addiction by also looking at the influence of users’ personalities, psychological distress, social support, and residential social living conditions on this addiction. The analyses were carried out on a nationally representative sample of 2,820 Spanish smartphone users. The results of the causal and multigroup models (structural equation model) indicated that the SDP was positively related to smartphone addiction. This influence was also independent of the effects on smartphone addiction of some personality traits (mainly low conscientiousness), high depression, low social support, and high social disorder in the neighborhood. SDP also showed an important mediating effect mainly for social factors (social support and social disorder in the neighborhood). SDP may be a relevant variable for understanding the potential risk of smartphone addiction in cases where there is a high need for social connection.

Keywords

neighborhood social disorder social support social digital pressure (SDP)smartphone addiction national representative sample

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References

Andreassen

C. S.

Griffiths

M. D.

Gjertsen

S. R.

Krossbakken

Kvam

Pallesen

(2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2(2), 90–99. https://doi.org/10.1556/JBA.2.2013.003

Bae

S. M.

(2019). The relationship between smartphone use for communication, social capital, and subjective well-being in Korean adolescents: Verification using multiple latent growth modeling. Children and Youth Services Review, 96, 93–99. https://doi.org/10.1016/j.childyouth.2018.11.032

Bentler

P. M.

(1995). EQS structural equations program manual. Multivariate Software.

Bian

Leung

(2015). Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review, 33, 61–79. https://doi.org/10.1177/0894439314528779

Bogg

Roberts

B. W.

(2004). Conscientiousness and health-related behaviors: A meta-analysis of the leading behavioral contributors to mortality. Psychological Bulletin, 130(6), 887–919. https://doi.org/10.1037/0033-2909.130.6.887

Bronfenbrenner

Morris

P. A.

(1998). The ecology of developmental processes. In Damon

Lerner

R. M.

(Eds.), Handbook of child psychology (Vol. 1, pp. 993–1028). John Wiley.

Büchi

Festic

Latzer

(2019). Digital overuse and subjective well-being in a digitized society. Social Media + Society, 5. https://doi.org/10.1177/2056305119886031

Busch

P. A.

McCarthy

(2020). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114. https://doi.org/10.1016/j.chb.2020.106414

Carvalho

L. F.

Sette

C. P.

Ferrari

B. L.

(2018). Problematic smartphone use relationship with pathological personality traits: Systematic review and meta-analysis. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 12(3), 5. https://doi.org/10.5817/CP2018-3-5

10.

Cheng

Wang

H. Y.

Sigerson

Chau

C. L.

(2019). Do the socially rich get richer? A nuanced perspective on social network site use and online social capital accrual. Psychological Bulletin, 145, 734–764. https://doi.org/10.1037/bul0000198

11.

Cho

(2015). Roles of smartphone app use in improving social capital and reducing social isolation. Cyberpsychology, Behavior, and Social Networking, 18, 350–355. https://doi.org/10.1089/cyber.2014.0657

12.

Costa

P. T.

McCrae

R. R.

(1992). NEO-PI-R. Professional manual. Psychological Assessment Resources.

13.

Credé

Harms

Niehorster

Gaye-Valentine

(2012). An evaluation of the consequences of using short measures of the big five personality traits. Journal of Personality and Social Psychology, 102(4), 874–888. https://doi.org/10.1037/a0027403

14.

Crowne

D. P.

Marlowe

(1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24, 349–354. https://doi.org/10.1037/h0047358

15.

Dash

G. F.

Slutske

W. S.

Martin

N. G.

Statham

D. J.

Agrawal

Lynskey

M. T.

(2019). Big five personality traits and alcohol, nicotine, cannabis, and gambling disorder comorbidity. Psychology of Addictive Behaviors, 33(4), 420–429. https://doi.org/10.1037/adb0000468

16.

de-Sola

Talledo

de Fonseca

Rubio

(2017). Prevalence of problematic cell phone use in an adult population in Spain as assessed by the Mobile Phone Problem Use Scale (MPPUS). PLoS One, 12, e0181184. https://doi.org/10.1371/journal.pone.0181184

17.

Domahidi

(2018). The associations between online media use and users’ perceived social resources: A meta-analysis. Journal of Computer-Mediated Communication, 23, 181–200. https://doi.org/10.1093/jcmc/zmy007

18.

Eaves

Eysenck

(1975). The nature of extraversion: A genetical analysis. Journal of Personality and Social Psychology, 32(1), 102.

19.

Elhai

J. D.

Dvorak

R. D.

Levine

J. C.

Hall

B. J.

(2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030

20.

Fishbein

Ajzen

(2011). Predicting and changing behavior: The reasoned action approach. Taylor & Francis.

21.

Galea

Nandi

Vlahov

(2004). The social epidemiology of substance use. Epidemiologic Reviews, 26(1), 36–52. https://doi.org/10.1016/j.jad.2016.08.030

22.

Gil de Zúñiga

Diehl

Huber

Liu

(2017). Personality traits and social media use in 20 countries: How personality relates to frequency of social media use, social media news use, and social media use for social interaction. Cyberpsychology, Behavior, and Social Networking, 20(9), 540–552. https://doi.org/10.1089/cyber.2017.0295

23.

Griffiths

Wardle

Orford

Sproston

Erens

(2009). Sociodemographic correlates of Internet gambling: Findings from the 2007 British gambling prevalence survey. Cyberpsychology & Behavior, 12, 199–202. https://doi.org/10.1089/cpb.2008.0196

24.

Griffiths

M. D

. (2017). The myth of ‘addictive personality.’ Global Journal of Addiction and Rehabilitation Medicine, 3, 555610. https://doi.org/10.19080/GJARM.2017.03.555610

25.

Gui

Büchi

(2019). From use to overuse: Digital inequality in the age of communication abundance. Social Science Computer Review, 39, 3–19. https://doi.org/10.1177/0894439319851163

26.

Halfmann

Rieger

(2019). Permanently on call: The effects of social pressure on Smartphone users’ self-control, need satisfaction, and well-being. Journal of Computer-Mediated Communication, 24, 165–181. https://doi.org/10.1093/jcmc/zmz008

27.

Hall

J. A.

Baym

N. K.

(2012). Calling and texting (too much): Mobile maintenance expectations, (over)dependence, entrapment, and friendship satisfaction. New Media & Society, 14, 316–331. https://doi.org/10.1177/1461444811415047

28.

Harari

G. M.

Müller

S. R.

Stachl

Wang

Bühner

Rentfrow

P. J.

Campbell

A. T.

Gosling

S. D.

(2019). Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life. Journal of Personality and Social Psychology, 119, 204–228. http://doi.org/10.1037/pspp0000245

29.

Herrero

Fuente

Gracia

(2011). Covariates of subjective well-being among Latin American immigrants in Spain: The role of social integration in the community. Journal of Community Psychology, 39, 761–775. https://doi.org/10.1002/jcop.20468

30.

Herrero

Gracia

(2007). Una medida breve de la sintomatología depresiva (CESD-7) [A brief measure of depressive symptomatology] (CESD-7). Salud Mental, 30(5), 40–46.

31.

Herrero

Torres

Vivas

Urueña

(2019a). Smartphone addiction and social support: A three-year longitudinal study. Psychosocial Intervention, 28, 111–118. https://doi.org/10.5093/pi2019a6

32.

Herrero

Torres

Vivas

Urueña

. (2019b). Technological addiction in context: The influence of perceived neighborhood social disorder on the extensive use and addiction to the smartphone. Social Science Computer Review. Advance online publication. https://doi.org/10.1177/0894439319896230

33.

Herrero

Urueña

Torres

Hidalgo

(2019a). Smartphone addiction: Psychosocial correlates, risky attitudes, and Smartphone harm. Journal of Risk Research, 22(1), 81–92. https://doi.org/10.1080/13669877.2017.1351472

34.

Herrero

Urueña

Torres

Hidalgo

(2019b). Socially connected but still isolated: Smartphone addiction decreases social support over time. Social Science Computer Review, 37, 73–88. https://doi.org/10.1177/0894439317742611

35.

Horwood

Anglim

(2018). Personality and problematic smartphone use: A facet-level analysis using the five factor model and HEXACO frameworks. Computers in Human Behavior, 85, 349–359. https://doi.org/10.1016/j.chb.2018.04.013

36.

Instituto Nacional de Estadística. (2020). Estadística del Padrón Continuo. Datos provisionales a 1 de enero de 2020 [Statistics of the continuous register. Provisional data as of January 1, 2020]. https://www.ine.es/jaxi/Tabla.htm?path=/t20/e245/p04/provi/l0/&file=0ccaa003.px&L=0

37.

Juarros-Basterretxea

Escoda-Menéndez

Vilariño

Rodríguez-Díaz

F. J.

Herrero

(2021). Using the CES-D-7 as a screening instrument to detect major depression among the inmate population. International Journal of Environmental Research and Public Health, 18(3), 1361. MDPI AG. https://doi.org/10.3390/ijerph18031361

38.

Kayiş

A. R.

Satici

S. A.

Yilmaz

M. F.

Şimşek

Ceyhan

Bakioğlu

(2016). Big five-personality trait and Internet addiction: A meta-analytic review. Computers in Human Behavior, 63, 35–40. https://doi.org/10.1016/j.chb.2016.05.012

39.

Kim

J. H.

(2017). Smartphone-mediated communication vs. face-to-face interaction: Two routes to social support and problematic use of smartphone. Computers in Human Behavior, 67, 282–291. https://doi.org/10.1016/j.chb.2016.11.004

40.

Kircaburun

Griffiths

M. D.

(2018). Instagram addiction and the big five of personality: The mediating role of self-liking. Journal of Behavioral Addictions, 7, 158–170. https://doi.org/10.1556/2006.7.2018.15

41.

Kuss

Griffiths

(2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14, 311. http://dx.doi.org/10.3390/ijerph14030311

42.

Lin

Dean

Ensel

W. M.

(1981). Social support scales: A methodological note. Schizophrenia Bulletin, 7, 73. http://dx.doi.org/10.1093/schbul/7.1.73

43.

Ling

(2016). Soft coercion: Reciprocal expectations of availability in the use of mobile communication. First Monday, 21. https://doi.org/10.5210/fm.v21i9.6814

44.

Marengo

Sindermann

Häckel

Settanni

Elhai

J. D.

Montag

(2020). The association between the big five personality traits and smartphone use disorder: A meta-analysis. Journal of Behavioral Addictions, 9(3), 534–550. https://doi.org/10.1556/2006.2020.00069

45.

Muthén

L. K.

Muthén

B. O.

(1998–2017). Mplus user’s guide (8th ed.). Muthén & Muthén.

46.

Pandey

Elliott

(2010). Suppressor variables in social work research: Ways to identify in multiple regression models. Journal of the Society for Social Work and Research, 1(1), 28–40. https://doi.org/10.5243/jsswr.2010.2

47.

Peltonen

Sharmila

Asare

K. O.

Visuri

Lagerspetz

Ferreira

(2020). When phones get personal: Predicting Big Five personality traits from application usage. Pervasive and Mobile Computing, 69, 101269. https://doi.org/10.1016/j.pmcj.2020.101269

48.

Phua

Jin

S. V.

Kim

J. J.

(2017). Uses and gratifications of social networking sites for bridging and bonding social capital: A comparison of Facebook, Twitter, Instagram, and Snapchat. Computers in Human Behavior, 72, 115–122. https://doi.org/10.1016/j.chb.2017.02.041

49.

Picazo-Vela

Chou

S. Y.

Melcher

A. J.

Pearson

J. M.

(2010). Why provide an online review? An extended theory of planned behavior and the role of big-five personality traits. Computers in Human Behavior, 26(4), 685–696. https://doi.org/10.1016/j.chb.2010.01.005

50.

Preacher

K. J.

Kelley

(2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16, 93–115. https://doi.org/10.1037/a0022658

51.

Rammstedt

John

O. P.

(2007). Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. Journal of Research in Personality, 41, 203–212. https://doi.org/10.1016/j.jrp.2006.02.001

52.

Rucker

D. D.

Preacher

K. J.

Tormala

Z. L.

Petty

R. E.

(2011). Mediation analysis in social psychology: Current practices and new recommendations. Social and Personality Psychology Compass, 5, 359–371. https://doi.org/10.1111/j.1751-9004.2011.00355.x

53.

Seidman

(2013). Self-presentation and belonging on Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 54(3), 402–407. https://doi.org/10.1016/j.paid.2012.10.009

54.

Seo

Kim

J. H.

David

(2015). Always connected or always distracted? ADHD symptoms and social assurance explain problematic use of mobile phone and multicommunicating. Journal of Computer-Mediated Communication, 20, 667–681. https://doi.org/10.1111/jcc4.12140

55.

Slutske

W. S.

Deutsch

A. R.

Piasecki

T. M.

(2016). Neighborhood contextual factors, alcohol use, and alcohol problems in the United States: Evidence from a nationally representative study of young adults. Alcoholism: Clinical and Experimental Research, 40(5), 1010–1019. https://doi.org/10.1111/acer.13033

56.

Strahan

Gerbasi

K. C.

(1972). Short, homogeneous versions of the Marlow-Crowne Social Desirability Scale. Journal of Clinical Psychology, 28, 191–193. https://doi.org/10.1002/1097-4679

57.

Tossell

C. C.

Kortum

Shepard

Rahmati

Zhong

(2015). You can lead a horse to water but youcannot make him learn: Smartphone use in higher education. British Journal of Educational Technology, 46, 713–724. http://dx.doi.org/10.1111/bjet.12176

58.

Tsai

T. H.

Chang

H. T.

Chang

Y. C.

Chang

Y. S.

(2017). Personality disclosure on social network sites: An empirical examination of differences in Facebook usage behavior, profile contents and privacy settings. Computers in Human Behavior, 76, 469–482. https://doi.org/10.1016/j.chb.2017.08.003

59.

Vahedi

Saiphoo

(2018). The association between smartphone use, stress, and anxiety: A meta-analytic review. Stress and Health, 34, 347–358. https://doi.org/10.1002/smi.2805

60.

Wilson

(2018). Is it love or loneliness? Exploring the impact of everyday digital technology use on the wellbeing of older adults. Ageing & Society, 38, 1307–1331. https://doi.org/10.1017/S0144686X16001537

61.

Young

K. S.

(1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & Behavior, 1, 237–244. http://dx.doi.org/10.1089/cpb.1998.1.237

62.

Yuan

Elhai

J. D.

Hall

B. J.

(2020). The influence of depressive symptoms and fear of missing out on severity of problematic smartphone use and Internet gaming disorder among Chinese young adults: A three-wave mediation model. Addictive Behaviors, 112, 106648. https://doi.org/10.1016/j.addbeh.2020.106648

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