| Literature DB >> 25560751 |
Lael M Yonker1, Shiyi Zan, Christina V Scirica, Kamal Jethwani, T Bernard Kinane.
Abstract
BACKGROUND: Social media has emerged as a potentially powerful medium for communication with adolescents and young adults around their health choices.Entities:
Keywords: adolescents; health; social media; social networking sites; young adults
Mesh:
Year: 2015 PMID: 25560751 PMCID: PMC4376201 DOI: 10.2196/jmir.3692
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Inclusion and exclusion criteria for systematic review.
| Criteria | |
| Inclusion criteria | Original research |
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| Published in peer-reviewed journals |
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| Involves social media / SNS |
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| Study population: 11-25 years of age |
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| Written in English language |
| Exclusion criteria | Not original research: reviews, editorials, and commentaries |
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| Methodology or technical papers |
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| Target population not adolescents or young adults |
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| Not focused on, or involving, online SNS |
Checklist for data acquisition for papers included in the systematic review.
| Data extraction category | Details |
| Authors |
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| Title |
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| Journal |
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| Year |
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| Purpose |
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| Type of social media | MySpace |
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| |
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| YouTube |
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| Mixed social networking sites |
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| Other |
| Target population |
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| Sample size |
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| Health issues assessed | Sexual behaviors, sexually transmitted infections |
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| Alcohol, drugs, or tobacco |
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| Cyberbullying or sexual predators |
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| Mental health issues |
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| Medical diseases |
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| Other |
| Outcomes assessed |
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| Limitations listed in study |
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| Study results |
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| Type of study | Observational |
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| Interventional |
| Use of social media | Assess or view social media sites |
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| Assess social media use via survey or interview |
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| Elicit reaction to postings on social media |
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| Provide health information or change behaviors via social media sites |
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| Recruitment through social media |
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| Improve communication with health care provider via social media |
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| Create community within social media |
Summary of reasons for exclusion from systematic review (n=288).
| Reason for exclusion | n |
| Not original research: reviews, editorials, and commentaries | 59 |
| Methods or technical papers | 7 |
| Guidelines | 4 |
| Papers not specific to adolescent or young adult ages | 100 |
| Papers not clearly involving online social media | 30 |
| Papers not relating to human health | 1 |
| Total number excluded | 201 |
Figure 1PRISMA flow diagram of selection procedure for systematic review.
Figure 2Number of studies meeting criteria for systematic review, by year (studies published through 10/1/2013).
Use of social media within research studies.
| Social media use | Study | |
|
| ||
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| Viewing social media sites/content analysis (n=25) | Moreno MA [ |
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| Assessing social media use via interview or survey (n=46) | Ybarra ML [ |
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| Eliciting reaction to public comments (“posts”) on social media (n=6) | Dunlop SM [ |
| Providing health information (n=13) | Lam CG [ | |
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| ||
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| Improving communication with HCPs (n=7) | Whitehill JM [ |
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| Creating an online community (n=10) | Rice E [ |
| Research study recruitment (n=23) | Gunasekaran B [ | |
Types of social media used in the studies included in the systematic review.
| Social media | Study |
| MySpace (n=6) | Moreno MA [ |
| Facebook (n=31) | Egan KG [ |
| YouTube (n=2) | Gao X [ |
| Mixed social media (n=37) | Ybarra ML [ |
| Other social media (n=11) | Interactive website/portal: myLOL.net: Pujazon-Zazik MA [ |
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| Blog: Marcus MA [ |
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| Bebo: Griffiths R [ |
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| Listserv: sibkids: Tochon JG [ |
Comparison of studies included in systematic review, by age of target population (n=87).
| Study type and content | Exclusively 11-18 years | Including 19-25 years | Unspecified adolescent age | ||
| n (%) | |||||
| Observational, n | 26 | 44 | 5 | ||
| Interventional, n | 3 | 9 | 0 | ||
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| |||||
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| Sex/sexually transmitted infection | 5 (16%) | 17 (31%) | 1 (20%) | |
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| Alcohol, drugs, tobacco | 7 (23%) | 12 (23%) | 0 (0%) | |
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| Cyberbullying/ sexual predators | 7 (23%) | 1 (2%) | 0 (0%) | |
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| Mental health | 3 (10%) | 15 (29%) | 0 (0%) | |
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| Medical disease | 6 (19%) | 2 (4%) | 3 (60%) | |
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| Other | 3 (10%) | 8 (13%) | 1 (20%) | |
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| View social media sites/ content analysis (n=25) | 7 (24%) | 15 (28%) | 3 (60%) |
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| Assess social media use by interview or survey (n=46) | 19 (66%) | 26 (49%) | 1 (20%) |
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| Elicit reaction to public posting on social media (n=6) | 2 (3%) | 4 (14%) | 0 (0%) |
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| Provide health information (n=13) | 2 (3%) | 9 (17%) | 2 (40%) |
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| ||||
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| Improve communication with HCP (n=7) | 2 (7%) | 5 (9%) | 0 (0%) |
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| Create online community (n=10) | 3 (10%) | 6 (11%) | 1 (20%) |
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| Research study recruitment: (n=22) | 2 (3%) | 21 (40%) | 0 (0%) |