Cited by 65Eating Disorders and BehaviorsImpact of Technology on AdolescentsNutrition, Health and Food Behavior

The Relationship Between SNS Usage and Disordered Eating Behaviors: A Meta-Analysis

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Zhang, Juan, Wang, Yihui, Li, Qianru, Wu, Chenggang·2021·Frontiers in Psychology

Abstract

Social Networking Sites (SNSs) are common tools with which modern people share their lives and establish social relationships. However, some studies have found SNSs to be associated with eating disorders, although other have identified no connection between the two. To explore the interaction between SNSs and eating disorder behaviors, this study aimed to comprehensively synthesize previous studies using meta-analysis methods. Based on selection criteria, there were 87 effect sizes from 22 studies. After analysis using a three-level random-effects meta-analysis model, a positive correlation between the use of SNSs and irregular eating behaviors was found, r = 0.09 (95% CI: 0.06, 0.11; p < 0.001). In addition, by analyzing potential moderators, body mass index (r = −0.032; 95% CI: −0.058, −0.006; p = 0.019), survey methods, and sample sources was discovered could alter the relationship between SNSs and disordered eating behaviors. Specifically, there was a significantly larger association between SNSs results obtained by paper and pencil surveys and disordered eating behaviors (r = 0.114; 95% CI: 0.081, 0.147; p < 0.001) than that between SNSs results obtained by online surveys and disordered eating behaviors (r = −0.055; 95% CI: −0.102, −0.007; p < 0.01). University students showed a larger correlation between SNSs and disordered eating behavior than other samples (r = 0.089; 95% CI: 0.049, 0.129; p < 0.001). Overall, this meta-analysis confirms that the excessive use of SNSs is associated with an increased risks of disordered eating behaviors. It is hoped that this study can provide a reference for the management and intervention of dietary behaviors related to social networks in the future.

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  • Females' tendency to compare with celebrities and online friends had a closer relationship with body-image dissatisfaction, which led to a stronger drive for the ideal body type among females.

    “It was found that females' tendency to compare with celebrities and online friends had a closer relationship with body-image dissatisfaction which led to a stronger drive for the ideal body type among females.”

    From How False Social Media Beauty Standards Lead To Body Dysmorphia (2023) · cites this paper as Zhang et al., 2021

    The Introduction’s “Potential Moderators—Sex” section reports that females’ comparisons with SNS friends and celebrities were more closely related to both body-image dissatisfaction and the drive for slimness than males’ comparisons were (page not specified). It does not say that dissatisfaction led to the stronger drive; the cited finding describes associations, not that causal sequence. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Zhang et al. (2021) conducted research examining the link of social media usage to disordered eating behaviors.

    “Zhang, Wang, Li, and Wu (2021) conducted research examining the link of social media usage to disordered eating behaviors.”

    From How False Social Media Beauty Standards Lead To Body Dysmorphia (2023) · cites this paper as Zhang et al., 2021

  • Social media users accounted for 72% of the world's population and the number was expected to rise annually.

    “According to him, social media users accounted for 72% of the world's population and the number was expected to rise annually.”

    From How False Social Media Beauty Standards Lead To Body Dysmorphia (2023) · cites this paper as Zhang et al., 2021

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Research works printed but not linked: 84

  1. Aparicio-Martinez P. Perea-Moreno A. J. Martinez-Jimenez M. P. Redel-Macias M. D. Pagliari C. Vaquero-Abellan M. (2019). Social media, thin-ideal, body dissatisfaction and disordered eating attitudes: an exploratory analysis. Int. J. Environ. Res. Public Health 16: 4177. 10.3390/ijerph16214177 31671857 PMC6861923 · DOI
  2. Ata R. N. Ludden A. B. Lally M. M. (2007). The effects of gender and family, friend, and media influences on eating behaviors and body image during adolescence. J. Youth Adolesc. 36, 1024– 1037. 10.1007/s10964-006-9159-x · DOI · Paper page
  3. Bandura A. (1995). “Exercise of personal and collective efficacy in changing societies,” in Self-Efficacy in Changing Societies (New York, NY: Cambridge University Press), 1– 45. 10.1017/CBO9780511527692.003 · DOI · Paper page
  4. Bell B. T. Cassarly J. A. Dunbar L. (2018). Selfie-objectification: Self-objectification and positive feedback (“likes”) are associated with frequency of posting sexually objectifying self-images on social media. Body Image 26, 83– 89. 10.1016/j.bodyim.2018.06.005 30005293 · DOI · Paper page
  5. Beyens I. Frison E. Eggermont S. (2016). “I don't want to miss a thing”: Adolescents' fear of missing out and its relationship to adolescents' social needs, Facebook use, and Facebook related stress. Comput. Hum. Behav. 64, 1– 8. 10.1016/j.chb.2016.05.083 · DOI · Paper page
  6. Boyd D. (2014). It's Complicated: The Social Lives of Networked teens. New Haven, CT: Yale University Press.
  7. Brandtzæg P. B. Heim J. (2009). “Why people use social networking sites,” in Paper Presented at the International Conference on Online Communities and Social Computing (Oslo). 10.1007/978-3-642-02774-1_16 · DOI
  8. Brown Z. Tiggemann M. (2016). Attractive celebrity and peer images on Instagram: effect on women's mood and body image. Body Image. 19, 37– 43. 10.1016/j.bodyim.2016.08.007 27598763 · DOI
  9. Bulik C. M. Sullivan P. Joyce P. R. (1999). Temperament, character and suicide attempts in anorexia nervosa, bulimia nervosa and major depression. Acta Psychiatr. Scand. 100, 27– 32. 10.1111/j.1600-0447.1999.tb10910.x 10442436 · DOI
  10. Burnette C. B. Simpson C. C. Mazzeo S. E. (2018). Relation of BMI and weight suppression to eating pathology in undergraduates. Eat. Behav. 30, 16– 21. 10.1016/j.eatbeh.2018.05.003 29753283 · DOI
  11. Carrotte E. R. Prichard I. Lim M. S. C. (2017). “Fitspiration” on social media: a content analysis of gendered images. J. Med. Internet Res. 19: e95. 10.2196/jmir.6368 28356239 PMC5390113 · DOI · Paper page
  12. Choma B. L. Shove C. Busseri M. A. Sadava S. W. Hosker A. (2009). Assessing the role of body image coping strategies as mediators or moderators of the links between self-objectification, body shame, and well-being. Sex Roles 61: 699. 10.1007/s11199-009-9666-9 · DOI
  13. Conger J. Singg S. (2020). Should you “do it for the ‘gram?” A review of the psychological and sociocultural effects of social media. J. Clin. Rev. Case Rep. 5: 9. 10.33140/jcrc.05.01.09 · DOI
  14. Das B. Sahoo J. S. (2011). Social networking sites–a critical analysis of its impact on personal and social life. Int. J. Business Soc. Sci. 2, 222– 228. Retrieved from https://ijbssnet.com/journal/index/561
  15. Davidson W. B. Cotter P. R. (1991). The relationship between sense of community and subjective well-being: a first look. J. Commun. Psychol. 19, 246– 253. 10.1002/1520-6629(199107)19:3<246::AID-JCOP2290190308>3.0.CO;2-L · DOI
  16. Dhir A. Tsai C.-C. (2017). Understanding the relationship between intensity and gratifications of Facebook use among adolescents and young adults. Telematics Inform. 34, 350– 364. 10.1016/j.tele.2016.08.017 · DOI
  17. Duval S. Tweedie R. (2000). Trim and fill: a simple funnel-plot–based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455– 463. 10.1111/j.0006-341X.2000.00455.x 10877304 · DOI · Paper page
  18. Egger M. Smith G. D. Schneider M. Minder C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629– 634. 10.1136/bmj.315.7109.629 9310563 PMC2127453 · DOI · Paper page
  19. Fairburn C. G. Cooper Z. Doll H. A. Norman P. O'Connor M. (2000). The natural course of bulimia nervosa and binge eating disorder in young women. Arch. Gen. Psychiatry 57, 659– 665. 10.1001/archpsyc.57.7.659 10891036 · DOI
  20. Favaro A. Santonastaso P. (1997). Suicidality in eating disorders: clinical and psychological correlates. Acta Psychiatr. Scand. 95, 508– 514. 10.1111/j.1600-0447.1997.tb10139.x 9242846 · DOI
  21. Fergus K. B. Copp H. L. Tabler J. L. Nagata J. M. (2019). Eating disorders and disordered eating behaviors among women: associations with sexual risk. Int. J. Eating Disord. 52, 1310– 1315. 10.1002/eat.23132 31267548 PMC9714254 · DOI
  22. Ferguson C. J. Muñoz M. E. Garza A. Galindo M. (2013). Concurrent and prospective analyses of peer, television and social media influences on body dissatisfaction, eating disorder symptoms and life satisfaction in adolescent girls. J. Youth Adolesc. 43, 1– 14. 10.1007/s10964-012-9898-9 23344652 · DOI
  23. Garner D. M. Garfinkel P. E. (1979). The eating attitudes test: an index of the symptoms of anorexia nervosa. Psychol. Med. 9, 273– 279. 10.1017/S0033291700030762 472072 · DOI
  24. Goldschmidt A. B. Aspen V. P. Sinton M. M. Tanofsky-Kraff M. Wilfley D. E. (2008). Disordered eating attitudes and behaviors in overweight youth. Obesity 16, 257– 264. 10.1038/oby.2007.48 18239631 · DOI · Paper page
  25. Gosling S. D. Mason W. (2015). Internet research in psychology. Annu. Rev. Psychol. 66, 877– 902. 10.1146/annurev-psych-010814-015321 25251483 · DOI · Paper page
  26. Griffiths S. Castle D. Cunningham M. Murray S. B. Bastian B. Barlow F. K. (2018a). How does exposure to thinspiration and fitspiration relate to symptom severity among individuals with eating disorders? Evaluation of a proposed model. Body Image 27, 187– 195. 10.1016/j.bodyim.2018.10.002 30359868 · DOI
  27. Griffiths S. Murray S. B. Krug I. McLean S. A. (2018b). The contribution of social media to body dissatisfaction, eating disorder symptoms, and anabolic steroid use among sexual minority men. Cyberpsychol. Behav. Soc. Network. 21, 149– 156. 10.1089/cyber.2017.0375 29363993 PMC5865626 · DOI
  28. Hargreaves D. Tiggemann M. (2003). The effect of “thin ideal” television commercials on body dissatisfaction and schema activation during early adolescence. J. Youth Adolesc. 32, 367– 373. 10.1023/A:1024974015581 · DOI
  29. He J. Chen X. Fan X. Cai Z. Huang F. (2019). Is there a relationship between body mass index and academic achievement? A meta-analysis. Public Health 167, 111– 124. 10.1016/j.puhe.2018.11.002 30654313 · DOI
  30. He J. Sun S. Lin Z. Fan X. (2020). Body dissatisfaction and sexual orientations: a quantitative synthesis of 30 years research findings. Clin. Psychol. Rev. 81: 101896. 10.1016/j.cpr.2020.101896 32835956 · DOI
  31. Hendrickse J. Arpan L. M. Clayton R. B. Ridgway J. L. (2017). Instagram and college women's body image: Investigating the roles of appearance-related comparisons and intrasexual competition. Comput. Hum. Behav. 74, 92– 100. 10.1016/j.chb.2017.04.027 · DOI
  32. Higgins J. P. Thompson S. G. Deeks J. J. Altman D. G. (2003). Measuring inconsistency in meta-analyses. BMJ 327, 557– 560. 10.1136/bmj.327.7414.557 12958120 PMC192859 · DOI · Paper page
  33. Hillege S. Beale B. McMaster R. (2006). Impact of eating disorders on family life: Individual parents' stories. J. Clin. Nurs. 15, 1016– 1022. 10.1111/j.1365-2702.2006.01367.x 16879546 · DOI
  34. Ho S. S. Lee E. W. Liao Y. (2016). Social network sites, friends, and celebrities: the roles of social comparison and celebrity involvement in adolescents' body image dissatisfaction. Soc. Media+ Soc. 2: 2056305116664216. 10.1177/2056305116664216 · DOI
  35. Holland G. Tiggemann M. (2017). “Strong beats skinny every time”: disordered eating and compulsive exercise in women who post fitspiration on Instagram. Int. J. Eat. Disord. 50, 76– 79. 10.1002/eat.22559 27302867 · DOI
  36. Howard L. M. Heron K. E. MacIntyre R. I. Myers T. A. Everhart R. S. (2017). Is use of social networking sites associated with young women's body dissatisfaction and disordered eating? A look at Black-White racial differences. Body Image, 23, 109– 113. 10.1016/j.bodyim.2017.08.008 28965051 · DOI
  37. Hutton B. Salanti G. Caldwell D. M. Chaimani A. Schmid C. H. Cameron C.. (2015). The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann. Intern. Med. 162, 777– 784. 10.7326/M14-2385 26030634 · DOI · Paper page
  38. Jankowiak W. Gray P. B. Hattman K. (2008). Globalizing evolution: female choice, nationality, and perception of sexual beauty in China. Cross-Cultural Res. 42, 248– 269. 10.1177/1069397108317672 · DOI
  39. Jenkins P. E. Hoste R. Conley C. Meyer C. Blissett J. (2011b). Is being underweight associated with impairments in quality of life in the absence of significant eating disorder pathology. Eat. Weight Disord. 16, e61– e64. 10.1007/BF03327523 21727784 · DOI
  40. Jenkins P. E. Hoste R. R. Meyer C. Blissett J. M. (2011a). Eating disorders and quality of life: a review of the literature. Clin. Psychol. Rev. 31, 113– 121. 10.1016/j.cpr.2010.08.003 20817335 · DOI
  41. Johnson J. Spitzer R. Williams J. B. (2001). Health problems, impairment and illnesses associated with bulimia nervosa and binge eating disorder among primary care and obstetric gynaecology patients. Psychol. Med. 31, 1455– 1466. 10.1017/S0033291701004640 11722160 · DOI
  42. Joinson A. (1999). Social desirability, anonymity, and Internet-based questionnaires. Behav. Res. Methods Instrum. Comput. 31, 433– 438. 10.3758/BF03200723 10502866 · DOI
  43. Kärkkäinen U. Mustelin L. Raevuori A. Kaprio J. Keski-Rahkonen A. (2018). Do disordered eating behaviours have long-term health-related consequences? Europ. Eat. Disord. Rev. 26, 22– 28. 10.1002/erv.2568 29160017 PMC5732059 · DOI
  44. Kaur P. Dhir A. Chen S. Rajala R. (2016). Understanding online regret experience using the theoretical lens of flow experience. Comput. Hum. Behav. 57, 230– 239. 10.1016/j.chb.2015.12.041 · DOI
  45. Keery H. Van den Berg P. Thompson J. K. (2004). An evaluation of the Tripartite Influence Model of body dissatisfaction and eating disturbance with adolescent girls. Body Image 1, 237– 251. 10.1016/j.bodyim.2004.03.001 18089156 · DOI · Paper page
  46. Kim J. W. Chock T. M. (2015). Body image 2.0: associations between social grooming on Facebook and body image concerns. Comput. Hum. Behav. 48, 331– 339. 10.1016/j.chb.2015.01.009 · DOI · Paper page
  47. Klaczynski P. A. Felmban W. S. (2019). Thin idealization and causal attributions mediate the association between culture and obesity stereotypes: an examination of Chinese and American adolescents. Br. J. Dev. Psychol. 37, 14– 32. 10.1111/bjdp.12250 29806707 · DOI
  48. Koiranen I. Keipi T. Koivula A. Räsänen P. (2019). Changing patterns of social media use? A population-level study of Finland. Univ. Access Inform. Soc. 19, 603– 617. 10.1007/s10209-019-00654-1 · DOI
  49. Latzer Y. Spivak-Lavi Z. Katz R. (2015). Disordered eating and media exposure among adolescent girls: the role of parental involvement and sense of empowerment. Int. J. Adolesc. Youth 20, 375– 391. 10.1080/02673843.2015.1014925 · DOI
  50. Leung F. Wang J. Tang C. W. (2004). Psychometric properties and normative data of the Eating Disorder Inventory among 12 to 18 year old Chinese girls in Hong Kong. J. Psychosom. Res. 57, 59– 66. 10.1016/S0022-3999(03)00506-3 15256296 · DOI
  51. Lin L. Chu H. Hodges J. S. (2017). Alternative measures of between-study heterogeneity in meta-analysis: reducing the impact of outlying studies. Biometrics 73, 156– 166. 10.1111/biom.12543 27167143 PMC5106349 · DOI
  52. Marsh H. W. Hau K.-T. Sung R. Y. Yu C.-W. (2007). Childhood obesity, gender, actual-ideal body image discrepancies, and physical self-concept in Hong Kong children: cultural differences in the value of moderation. Dev. Psychol. 43, 647– 662. 10.1037/0012-1649.43.3.647 17484577 · DOI
  53. Moessner M. Fassnacht D. B. Bauer S. (2015). Online assessment of eating disorders: the clinical and research inventory for eating disorders (CR-EAT). Mental Health Prevent. 3, 170– 177. 10.1016/j.mhp.2015.08.001 · DOI
  54. Neumark-Sztainer D. Wall M. Story M. Standish A. R. (2012). Dieting and unhealthy weight control behaviors during adolescence: associations with 10-year changes in body mass index. J. Adoles. Health 50, 80– 86. 10.1016/j.jadohealth.2011.05.010 22188838 PMC3245517 · DOI
  55. Niu G. Sun L. Liu Q. Chai H. Sun X. Zhou Z. (2019). Selfie-posting and young adult women's restrained eating: the role of commentary on appearance and self-objectification. Sex Roles 82, 232– 240. 10.1007/s11199-019-01045-9 · DOI
  56. Obst P. Stafurik J. (2010). Online we are all able bodied: online psychological sense of community and social support found through membership of disability-specific websites promotes well-being for people living with a physical disability. J. Commun. Appl. Soc. Psychol. 20, 525– 531. 10.1002/casp.1067 · DOI
  57. Perloff R. M. (2014). Social media effects on young women's body image concerns: theoretical perspectives and an agenda for research. Sex Roles 71, 363– 377. 10.1007/s11199-014-0384-6 · DOI · Paper page
  58. Pollack L. O. (2017). Examination of non-facial emotion recognition in adolescents with anorexia nervosa (Doctoral dissertation), University of Missouri, Kansas City, MI. Retrieved from: https://hdl.handle.net/10355/61497
  59. Przybylski A. K. Murayama K. DeHaan C. R. Gladwell V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Comput. Hum. Behav. 29, 1841– 1848. 10.1016/j.chb.2013.02.014 · DOI · Paper page
  60. Rammstedt B. Riemann R. Angleitner A. Borkenau P. (2004). Resilients, overcontrollers, and undercontrollers: the replicability of the three personality prototypes across informants. Europ. J. Personality 18, 1– 14. 10.1002/per.495 · DOI
  61. Ramsey L. R. Horan A. L. (2018). Picture this: Women's self-sexualization in photos on social media. Personal. Individ. Diff. 133, 85– 90. 10.1016/j.paid.2017.06.022 · DOI
  62. Rodgers R. F. (2016). The role of the “Healthy Weight” discourse in body image and eating concerns: an extension of sociocultural theory. Eat. Behav. 22, 194– 198. 10.1016/j.eatbeh.2016.06.004 27299698 · DOI
  63. Rodgers R. F. DuBois R. Frumkin M. R. Robinaugh D. J. (2018). A network approach to eating disorder symptomatology: do desire for thinness and fear of gaining weight play unique roles in the network? Body Image 27, 1– 9. 10.1016/j.bodyim.2018.07.004 30086480 · DOI
  64. Rodgers R. F. Melioli T. (2016). The relationship between body image concerns, eating disorders and internet use, part I: a review of empirical support. Adoles. Res. Rev. 1, 95– 119. 10.1007/s40894-015-0016-6 · DOI
  65. Santarossa S. Woodruff S. J. J. S. M. S. (2017). # SocialMedia: Exploring the relationship of social networking sites on body image, self-esteem, and eating disorders. 3, 2056305117704407. 10.1177/2056305117704407 · DOI
  66. Schaumberg K. Welch E. Breithaupt L. Hübel C. Baker J. H. Munn-Chernoff M. A.. (2017). The science behind the Academy for Eating Disorders' nine truths about eating disorders. Eur. Eat. Disord. Rev. 25, 432– 450. 10.1002/erv.2553 28967161 PMC5711426 · DOI
  67. Schmidt U. Adan R. Böhm I. Campbell I. C. Dingemans A. Ehrlich S.. (2016). Eating disorders: the big issue. Lancet Psychiatry 3, 313– 315. 10.1016/S2215-0366(16)00081-X 27063378 · DOI
  68. Sedikides C. Gaertner L. Toguchi Y. (2003). Pancultural self-enhancement. J. Personal. Soc. Psychol. 84, 60– 79. 10.1037/0022-3514.84.1.60 12518971 · DOI · Paper page
  69. Sharma S. and Verma, H. V. (2018). “Social media marketing: evolution and change,” in Social Media Marketing, eds S. G. Heggde G. içinde (Singapore: Palgrave Macmillan), 19– 36. 10.1007/978-981-10-5323-8_2 · DOI
  70. Smith A. R. Hames J. L. Joiner T. E. Jr (2013). Status update: Maladaptive Facebook usage predicts increases in body dissatisfaction and bulimic symptoms. J. Affect. Disord. 149, 235– 240. 10.1016/j.jad.2013.01.032 23453676 · DOI · Paper page
  71. Stice E. (1994). Review of the evidence for a sociocultural model of bulimia nervosa and an exploration of the mechanisms of action. Clin. Psychol. Rev. 14, 633– 661. 10.1016/0272-7358(94)90002-7 · DOI
  72. Teo N. S. Y. Collinson S. L. (2019). Instagram and risk of rumination and eating disorders: an Asian perspective. Psychol. Popular Media Culture 8, 491– 508. 10.1037/ppm0000205 · DOI
  73. Thelen M. H. Farmer J. Wonderlich S. Smith M. (1991). A revision of the Bulimia Test: The BULIT—R. Psychol. Assess. 3: 119. 10.1037/1040-3590.3.1.119 · DOI
  74. Tiggemann M. (2012). “Sociocultural perspectives on body image,” in Encyclopedia of Body Image and Human Appearance, ed T. F. Cash (Elsevier Academic Press), 758– 765. 10.1016/B978-0-12-384925-0.00120-633751287 · DOI
  75. Tiggemann M. Slater A. Bury B. Hawkins K. Firth B. (2013). Disclaimer labels on fashion magazine advertisements: Effects on social comparison and body dissatisfaction. Body Image 10, 45– 53. 10.1016/j.bodyim.2012.08.001 22947622 · DOI
  76. Tylka T. L. Sabik N. J. (2010). Integrating social comparison theory and self-esteem within objectification theory to predict women's disordered eating. Sex Roles 63, 18– 31. 10.1007/s11199-010-9785-3 · DOI
  77. Van den Noortgate W. López-López J. A. Marín-Martínez F. Sánchez-Meca J. (2013). Three-level meta-analysis of dependent effect sizes. Behav. Res. Methods 45, 576– 594. 10.3758/s13428-012-0261-6 23055166 · DOI · Paper page
  78. Vanden Abeele M. M. Antheunis M. L. Pollmann M. M. Schouten A. P. Liebrecht C. C. Van Der Wijst P. J.. (2018). Does Facebook use predict college students' social capital? A replication of Ellison, Steinfield, and Lampe's (2007) study using the original and more recent measures of Facebook use and social capital. Commun. Stud. 69, 272– 282. 10.1080/10510974.2018.1464937 · DOI
  79. Vannucci A. Ohannessian C. M. (2019). Social media use subgroups differentially predict psychosocial well-being during early adolescence. J. Youth Adoles. 48, 1469– 1493. 10.1007/s10964-019-01060-9 31256313 · DOI
  80. Viechtbauer W. (2010). Conducting meta-analyses in R with the metafor Package. J. Statist. Software 36, 1– 48. 10.18637/jss.v036.i03 · DOI · Paper page
  81. Walker M. Thornton L. De Choudhury M. Teevan J. Bulik C. M. Levinson C. A.. (2015). Facebook use and disordered eating in college-aged women. J. Adolesc. Health 57, 157– 163. 10.1016/j.jadohealth.2015.04.026 26206436 PMC4514918 · DOI
  82. Xue K. Yu M. (2017). New Media and Chinese Society (Vol. 5). Singapore: Springer. 10.1007/978-981-10-6710-5 · DOI
  83. Zeeni N. Doumit R. Abi Kharma J. Sanchez-Ruiz M.-J. (2018). Media, technology use, and attitudes: associations with physical and mental well-being in youth with implications for evidence-based practice. Worldviews Evid. Based Nurs. 15, 304– 312. 10.1111/wvn.12298 29763998 · DOI
  84. Zhang Y. Leung L. (2015). A review of social networking service (SNS) research in communication journals from 2006 to 2011. New Media Soc. 17, 1007– 1024. 10.1177/1461444813520477 · DOI

Cited by

Sorted by citations

Authors
Zhang, J., Wang, Y., Li, Q., & Wu, C.
Affiliations
  • University of Macau (MO)
  • Shanghai International Studies University (CN)
Corresponding author
Wang, Yihui
Venue
Frontiers in Psychology
Published
2021-08-02
Volume
12
Pages
641919-641919
ISSN
1664-1078 (ISSN-L)
OpenAlex
W3194038910
Cited by
65
References
24
Citations by year
2026: 9 · 2025: 13 · 2024: 10 · 2023: 20 · 2022: 12 · 2021: 1
FWCI
1.43
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
University of Macau (MYRG2017-00217-FED)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
social networking sites, disordered eating, eating disorders, body mass index, survey methodology, university students, excessive social media use, dietary behavior

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