A National Study of Social Media, Television, Radio, and Internet Usage of Adults by Sexual Orientation and Smoking Status: Implications for Campaign Design
Abstract
:1. Introduction
2. Methods
2.1. Measures
2.2. Data Analysis
3. Results
3.1. Device Ownership
3.2. Social Media
3.3. Frequent/Daily Media Use
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Lee, J.G.; Griffin, G.K.; Melvin, C.L. Tobacco use among sexual minorities in the USA, 1987 to May 2007: A systematic review. Tob. Control 2009, 18, 275–282. [Google Scholar] [CrossRef] [PubMed]
- Rath, J.M.; Villanti, A.C.; Rubenstein, R.A.; Vallone, D.M. Tobacco use by sexual identity among young adults in the United States. Nicotine Tob. Res. 2013, 15, 1822–1831. [Google Scholar] [CrossRef] [PubMed]
- Jamal, A.; Agaku, I.T.; O’Connor, E.; King, B.A.; Kenemer, J.B.; Neff, L. Current cigarette smoking among adults—United States, 2005–2013. Morb. Mortal. Wkly. Rep. 2014, 63, 1108–1112. [Google Scholar]
- Emory, K.; Kim, Y.; Buchting, F.; Vera, L.; Huang, J.; Emery, S.L. Intragroup variance in lesbian, gay, and bisexual tobacco use behaviors: Evidence that subgroups matter, notably bisexual women. Nicotine Tob. Res. 2015, 18, 1494–1501. [Google Scholar] [CrossRef] [PubMed]
- Lee, J.G.; Matthews, A.K.; McCullen, C.A.; Melvin, C.L. Promotion of tobacco use cessation for lesbian, gay, bisexual, and transgender people: A systematic review. Am. J. Prev. Med. 2014, 47, 823–831. [Google Scholar] [CrossRef] [PubMed]
- Pearson-Fields, A.S.; DeBold, K.; Darbouze, F. Delicious lesbian kisses: Anti-tobacco social marketing and advocacy. In Proceedings of the American Public Health Association 133rd Annual Meeting & Exposition, Philadelphia, PA, USA, 10–14 December 2005. [Google Scholar]
- California Tobacco Control Program. Working to Inspire Social Change. 2015. Available online: http://www.tobaccofreeca.com/ads/about/ (accessed on 15 December 2016).
- Centers for Disease Control and Prevention. Lesbian, Gay, Bisexual, and Transgender (LGBT). 2015. Available online: http://www.cdc.gov/tobacco/campaign/tips/groups/lgbt.html (accessed on 15 December 2016).
- U.S. Food and Drug Administration. This Free Life Campaign. 2016. Available online: http://www.fda.gov/TobaccoProducts/PublicHealthEducation/PublicEducationCampaigns/ThisFreeLifeCampaign/default.htm (accessed on 15 December 2016).
- National Cancer Institute. The Role of the Media in Promoting and Reducing Tobacco Use; National Cancer Institute: Bethesda, MD, USA, 2008.
- Emery, S.; Kim, Y.; Choi, Y.K.; Szczypka, G.; Wakefield, M.; Chaloupka, F.J. The effects of smoking-related television advertising on smoking and intentions to quit among adults in the United States: 1999–2007. Am. J. Public Health 2012, 102, 751–757. [Google Scholar] [CrossRef] [PubMed]
- Centers for Disease Control and Prevention. Best Practices for Comprehensive Tobacco Control Programs—2014; U.S. Department of Health and Human Services, CDC: Atlanta, GA, USA, 2014.
- Niederdeppe, J.; Kuang, X.; Crock, B.; Skelton, A. Media campaigns to promote smoking cessation among socioeconomically disadvantaged populations: What do we know, what do we need to learn, and what should we do now? Soc. Sci. Med. 2008, 67, 1343–1355. [Google Scholar] [CrossRef] [PubMed]
- Hill, S.; Amos, A.; Clifford, D.; Platt, S. Impact of tobacco control interventions on socioeconomic inequalities in smoking: Review of the evidence. Tob. Control 2014, 23, e89–e97. [Google Scholar] [CrossRef] [PubMed]
- Glanz, K.; Rimer, B.K.; Viswanath, K. Health Behavior and Health Education: Theory, Research, and Practice; Jossey-Bass Public Health: San Francisco, CA, USA, 2015. [Google Scholar]
- Blosnich, J.; Lee, J.G.; Horn, K. A systematic review of the aetiology of tobacco disparities for sexual minorities. Tob. Control 2013, 22, 66–73. [Google Scholar] [CrossRef] [PubMed]
- GfK. KnowledgePanel Design Summary. Available online: http://www.knowledgenetworks.com/knpanel/docs/knowledgepanel(R)-design-summary-description.pdf (accessed on 15 December 2016).
- Benjamini, Y.; Yekutieli, D. The control of the false discovery rate in multiple testing under dependency. Ann. Stat. 2001, 29, 1165–1188. [Google Scholar]
- Pew Research Center. A Survey of LGBT Americans; Pew Research Center: Washington, WA, USA, 2013. [Google Scholar]
- PR Newswire. Gay and Lesbian Adults Are More Likely and More Frequent Blog Readers. Available online: http://www.prnewswire.com/news-releases/gay-and-lesbian-adults-are-more-likely-and-more-frequent-blog-readers-98317299.html (accessed on 15 December 2016).
- Weinrich, J.D. Strange bedfellows: Homosexuality, gay liberation, and the Internet. J. Sex Educ. Ther. 1997, 22, 58–66. [Google Scholar]
- Ybarra, M.L.; Mitchell, K.J. A National Study of Lesbian, Gay, Bisexual (LGB), and Non-LGB Youth Sexual Behavior Online and In-Person. Arch. Sex. Behav. 2016, 45, 1357–1372. [Google Scholar] [CrossRef] [PubMed]
- Craig, S.L.; McInroy, L.; McCready, L.T.; Alaggia, R. Media: A catalyst for resilience in lesbian, gay, bisexual, transgender, and queer youth. J. LGBT Youth 2015, 12, 254–275. [Google Scholar] [CrossRef]
- Craig, S.L.; McInroy, L. You can form a part of yourself online: The influence of new media on identity development and coming out for LGBTQ youth. J. Gay Lesbian Ment. Health 2014, 18, 95–109. [Google Scholar] [CrossRef]
- Grov, C.; Breslow, A.S.; Newcomb, M.E.; Rosenberger, J.G.; Bauermeister, J.A. Gay and bisexual men’s use of the internet: Research from the 1990s through 2013. J. Sex. Res. 2014, 51, 390–409. [Google Scholar] [CrossRef] [PubMed]
- Gates, G.J.; Ost, J. The Gay & Lesbian Atlas; The Urban Insitute: Washington, WA, USA, 2004. [Google Scholar]
- Florida, R.L. The Rise of the Creative Class: And How It’s Transforming Work, Leisure, Community and Everyday Life; Basic Books: Washington, DC, USA, 2002. [Google Scholar]
- Walther, C.S.; Poston, D.L., Jr.; Gu, Y. Ecological analyses of gay male and lesbian partnering in the metropolitan United States in 2000. Popul. Res. Policy Rev. 2011, 30, 419–448. [Google Scholar] [CrossRef]
- Facebook. Easy and Effective Facebook Ads. 2016. Available online: https://www.facebook.com/business/products/ads (accessed on 15 December 2016).
- Davis, K.C.; Shafer, P.R.; Rodes, R.; Kim, A.; Hansen, H.; Patel, D.; Coln, C.; Beistle, D. Does digital video advertising increase population-level reach of multimedia campaigns? Evidence from the 2013 tips from former smokers campaign. J. Med. Internet Res. 2016, 18, e235. [Google Scholar] [CrossRef] [PubMed]
- Seidenberg, A.B.; Rees, V.W.; Connolly, G.N. Swedish match marketing on YouTube. Tob. Control 2010, 19, 512–513. [Google Scholar] [CrossRef] [PubMed]
- Jo, C.L.; Kornfield, R.; Kim, Y.; Emery, S.; Ribisl, K.M. Price-related promotions for tobacco products on Twitter. Tob. Control 2015, 25, 476–479. [Google Scholar] [CrossRef] [PubMed]
- Freeman, B.; Chapman, S. British American tobacco on Facebook: Undermining article 13 of the global World Health Organization framework convention on tobacco control. Tob. Control 2010, 19, e1–e9. [Google Scholar] [CrossRef] [PubMed]
- Seidenberg, A.B.; Rodgers, E.J.; Rees, V.W.; Connolly, G.N. Youth access, creation, and content of smokeless tobacco (“dip”) videos in social media. J. Adolesc. Health 2012, 50, 334–338. [Google Scholar] [CrossRef] [PubMed]
- Carroll, M.V.; Shensa, A.; Primack, B.A. A comparison of cigarette-and hookah-related videos on YouTube. Tob. Control 2012, 22, 319–323. [Google Scholar] [CrossRef] [PubMed]
- Smith, E.A.; Offen, N.; Malone, R.E. What makes an ad a cigarette ad? Commercial tobacco imagery in the lesbian, gay, and bisexual press. J. Epidemiol. Community Health 2005, 59, 1086–1091. [Google Scholar] [CrossRef] [PubMed]
- Smith, E.A.; Offen, N.; Malone, R.E. Pictures worth a thousand words: Noncommercial tobacco content in the lesbian, gay, and bisexual press. J. Health Commun. 2006, 11, 635–649. [Google Scholar] [CrossRef] [PubMed]
- Matthews, A.K.; Balsam, K.; Hotton, A.; Kuhns, L.; Li, C.C.; Bowen, D.J. Awareness of media-based antitobacco messages among a community sample of LGBT individuals. Health Promot. Pract. 2014, 15, 857–866. [Google Scholar] [CrossRef] [PubMed]
- Lee, J.G. Keeping the community posted: Lesbian, gay, bisexual, and transgender blogs and the tobacco epidemic. LGBT Health 2014, 1, 113–121. [Google Scholar] [CrossRef] [PubMed]
- Ramo, D.E.; Thrul, J.; Chavez, K.; Delucchi, K.L.; Prochaska, J.J. Feasibility and quit rates of the tobacco status project: A Facebook smoking cessation intervention for young adults. J. Med. Internet Res. 2015, 17, e291. [Google Scholar] [CrossRef] [PubMed]
- Atkinson, C. Millennials ditching their TV sets at a record rate. New York Post, 16 February 2015. [Google Scholar]
- Tobacco Advertising Prohibition Act 1992. Available online: https://www.legislation.gov.au/Details/C2016C00899 (accessed on 12 March 2017).
- Dunlop, S.; Freeman, B.; Perez, D. Exposure to Internet-based tobacco advertising and branding: Results from population surveys of Australian youth 2010–2013. J. Med. Internet Res. 2016, 18, e104. [Google Scholar] [CrossRef] [PubMed]
- Maher, C.A.; Lewis, L.K.; Ferrar, K.; Marshall, S.; De Bourdeaudhuij, I.; Vandelanotte, C. Are health behavior change interventions that use online social networks effective? A systematic review. J. Med. Internet Res. 2014, 16, e40. [Google Scholar] [CrossRef] [PubMed]
- Williams, G.; Hamm, M.P.; Shulhan, J.; Vandermeer, B.; Hartling, L. Social media interventions for diet and exercise behaviours: A systematic review and meta-analysis of randomised controlled trials. BMJ Open 2014, 4, e003926. [Google Scholar] [CrossRef] [PubMed]
- Baskerville, N.B.; Azagba, S.; Norman, C.; McKeown, K.; Brown, K.S. Effect of a digital social media campaign on young adult smoking cessation. Nicotine Tob. Res. 2016, 18, 351–360. [Google Scholar] [CrossRef] [PubMed]
Characteristic | Heterosexual Non-Smoker (n = 10,121) | Heterosexual Smoker (n = 2189) | LGB Non-Smoker (n = 418) | LGB Smoker (n = 172) | p-Value |
---|---|---|---|---|---|
Gender | |||||
Female | 51.9 (n = 5422) | 54.0 (n = 1342) | 39.6 (n = 172) | 39.3 (n = 82) | <0.001 |
Age | |||||
18–24 | 8.8 (n = 553) | 6.6 (n = 121) | 13.8 (n = 36) | 7.9 (n = 14) | |
25–44 | 33.6 (n = 2516) | 37.0 (n = 593) | 33.7 (n = 126) | 40.9 (n = 69) | |
45–64 | 37.0 (n = 4145) | 46.1 (n = 1110) | 45.3 (n = 201) | 46.4 (n = 72) | |
65+ | 20.6 (n = 2907) | 10.2 (n = 365) | 7.2 (n = 55) | 4.9 (n = 17) | 0.213 |
Race | |||||
White | 69.5 (n = 8164) | 70.9 (n = 1739) | 64.1 (n = 314) | 65.1 (n = 128) | |
Black | 10.9 (n = 705) | 12.4 (n = 192) | 10.0 (n = 30) | 12.8 (n = 20) | |
Hispanic | 12.7 (n = 689) | 11.7 (n = 138) | 16.2 (n = 43) | 14.1 (n = 13) | |
Other or Multi-race | 6.9 (n = 563) | 4.9 (n = 120) | 9.8 (n = 31) | 7.9 (n = 11) | <0.001 |
Employment | |||||
Unemployed—In Labor Force | 17.0 (n = 1308) | 21.8 (n = 391) | 21.2 (n = 68) | 15.9 (n = 23) | |
Unemployed—Not in Labor Force | 25.3 (n = 3284) | 24.5 (n = 662) | 17.9 (n = 94) | 16.0 (n = 34) | |
Employed | 57.7 (n = 5529) | 53.7 (n = 1136) | 61.0 (n = 256) | 68.1 (n = 115) | <0.001 |
Education | |||||
Some High School or Less | 5.6 (n = 306) | 11.4 (n = 137) | 4.5 (n = 9) | 6.9 (n = 8) | |
High School Graduate | 33.3 (n = 2003) | 43.6 (n = 598) | 20.9 (n = 45) | 30.1 (n = 34) | |
Some College | 31.3 (n = 3126) | 33.3 (n = 938) | 33.5 (n = 112) | 49.5 (n = 85) | |
Bachelor Degree | 17.7 (n = 2781) | 8.2 (n = 357) | 21.3 (n = 138) | 7.3 (n = 30) | |
Masters Degree or higher | 12.1 (n = 1905) | 3.6 (n = 159) | 19.8 (n = 114) | 6.3 (n = 15) | <0.001 |
Region | |||||
Northeast | 18.5 (n = 1761) | 16.9 (n = 391) | 20.3 (n = 71) | 23.5 (n = 32) | |
Midwest | 22.1 (n = 2629) | 26.4 (n = 627) | 20.0 (n = 106) | 22.9 (n = 44) | |
South | 36.5 (n = 3475) | 38.8 (n = 745) | 30.5 (n = 120) | 37.4 (n = 65) | |
West | 22.9 (n = 2256) | 17.9 (n = 426) | 29.2 (n = 121) | 16.2 (n = 31) | 0.007 |
Variable | Laptop or Netbook | Cell (Smart) | Tablet | |||
---|---|---|---|---|---|---|
aOR | p-Value | aOR | p-Value | aOR | p-Value | |
LGB vs. Heterosexual | ||||||
Heterosexual | ref | ref | ref | |||
LGB | 1.07 (0.78, 1.48) | 0.6660 | 1.19 (0.90, 1.58) | 0.2170 | 1.10 (0.85, 1.42) | 0.4778 |
Smoker vs. Nonsmoker | ||||||
Nonsmoker | ref | ref | ref | |||
Smoker | 0.90 (0.76, 1.05) | 0.1823 | 0.84 (0.72, 0.97) | 0.0175 | 0.65 (0.56, 0.75) | <0.0001 * |
Gender | ||||||
Male | ref | ref | ref | |||
Female | 0.94 (0.83, 1.07) | 0.3658 | 0.94 (0.83, 1.05) | 0.268 | 1.18 (1.05, 1.32) | 0.0038 |
Age | ||||||
18–24 | ref | ref | ref | |||
25–44 | 0.79 (0.58, 1.07) | 0.1313 | 0.68 (0.52, 0.88) | 0.0039 | 1.41 (1.09, 1.82) | 0.0082 |
45–64 | 0.55 (0.41, 0.74) | 0.0001 * | 0.27 (0.21, 0.35) | <0.0001 * | 1.20 (0.93, 1.54) | 0.1586 |
65+ | 0.36 (0.26, 0.50) | <0.0001 * | 0.15 (0.11, 0.20) | <0.0001 * | 1.00 (0.75, 1.33) | 0.9922 |
Race | ||||||
White | ref | ref | ref | |||
Black | 0.73 (0.59, 0.91) | 0.0050 | 1.30 (1.06, 1.59) | 0.0126 | 0.75 (0.61, 0.93) | 0.0072 |
Hispanic | 1.00 (0.79, 1.25) | 0.9708 | 1.56 (1.27, 1.92) | <0.0001 * | 1.02 (0.84, 1.24) | 0.8328 |
Other or Multi | 1.15 (0.87, 1.51) | 0.3235 | 1.42 (1.11, 1.82) | 0.0061 | 1.15 (0.90, 1.46) | 0.2566 |
Education | ||||||
Some High School or Less | ref | ref | ref | |||
High School Graduate | 1.25 (0.95, 1.65) | 0.1075 | 1.58 (1.17, 2.14) | 0.0028 * | 1.40 (1.02, 1.91) | 0.0359 |
Some College | 1.80 (1.37, 2.36) | <0.0001 * | 2.66 (1.97, 3.59) | <0.0001 * | 1.91 (1.40, 2.60) | <0.0001 * |
Bachelor Degree | 2.82 (2.11, 3.78) | <0.0001 * | 3.23 (2.37, 4.40) | <0.0001 * | 2.70 (1.97, 3.71) | <0.0001 * |
Master’s Degree or Higher | 3.36 (2.46, 4.58) | <0.0001 * | 3.78 (2.74, 5.21) | <0.0001 * | 3.26 (2.34, 4.52) | <0.0001 * |
Employment | ||||||
Unemployed-In Labor Force | ref | ref | ref | |||
Unemployed-Not in Labor Force | 0.93 (0.75, 1.16) | 0.5369 | 0.79 (0.64, 0.98) | 0.0296 | 0.74 (0.60, 0.91) | 0.0042 |
Employed | 1.13 (0.94, 1.36) | 0.2011 | 1.59 (1.34, 1.87) | <0.0001 * | 1.14 (0.97, 1.35) | 0.1122 |
Region | ||||||
Northeast | ref | ref | ref | |||
Midwest | 0.71 (0.59, 0.85) | 0.0003 * | 0.91 (0.76, 1.07) | 0.2524 | 0.89 (0.76, 1.06) | 0.1848 |
South | 0.86 (0.72, 1.03) | 0.1020 | 1.20 (1.02, 1.41) | 0.0254 | 1.00 (0.86, 1.18) | 0.9609 |
West | 0.72 (0.59, 0.87) | 0.0009 * | 1.13 (0.94, 1.35) | 0.1844 | 0.92 (0.77, 1.09) | 0.3279 |
Number of observations | 12,894 | 12,883 | 12,892 | |||
F-Test | 21.67 | 55.54 | 20.22 | |||
p-value | <0.0001 * | <0.0001 * | <0.0001 * | |||
F-adj mean res goodness of fit | 1.365 | 0.246 | 0.607 | |||
p-value | 0.198 | 0.988 | 0.792 |
Variable | Google+ | YouTube | ≥3 Social Media Accounts | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
aOR | p-Value | aOR | p-Value | aOR | p-Value | aOR | p-Value | aOR | p-Value | aOR | p-Value | |
LGB vs. Heterosexual | ||||||||||||
Heterosexual | ref | ref | ref | ref | ||||||||
LGB | 2.00 (1.48, 2.70) | <0.0001 * | 1.84 (1.37, 2.47) | <0.0001 * | 1.45 (1.09, 1.91) | 0.0095 | 2.11 (1.55, 2.87) | <0.0001 * | 2.19 (1.63, 2.94) | <0.0001 * | 2.38 (1.80, 3.16) | <0.0001 * |
Smoker vs. Nonsmoker | ||||||||||||
Nonsmoker | ref | ref | ref | ref | ref | ref | ||||||
Smoker | 1.15 (0.99, 1.33) | 0.0769 | 1.07 (0.87, 1.30) | 0.5335 | 0.78 (0.65, 0.95) | 0.0143 | 1.01 (0.82, 1.25) | 0.8993 | 0.92 (0.74, 1.13) | 0.4204 | 0.93 (0.76, 1.14) | 0.5047 |
Gender | ||||||||||||
Male | ref | ref | ref | ref | ref | ref | ||||||
Female | 1.76 (1.57, 1.97) | <0.0001 * | 1.03 (0.89, 1.20) | 0.6834 | 0.92 (0.81, 1.05) | 0.2388 | 0.84 (0.72, 0.99) | 0.0369 | 0.60 (0.51, 0.71) | <0.0001 * | 0.84 (.72, 0.97) | 0.0203 |
Age | ||||||||||||
18–24 | ref | ref | ref | ref | ref | ref | ||||||
25–44 | 0.70 (0.49, 0.73) | 0.0191 | 0.43 (0.33, 0.56) | <0.0001 * | 1.56 (1.11, 2.18) | 0.0098 | 0.83 (0.64, 1.11) | 0.2124 | 0.44 (0.34, 0.57) | <0.0001 * | 0.60 (0.46, 0.78) | 0.0001 * |
45–64 | 0.39 (0.29, 0.51) | <0.0001 * | 0.22 (0.17, 0.28) | <0.0001 * | 1.71 (1.22, 2.40) | 0.0019 * | 0.34 (0.25, 0.45) | <0.0001 * | 0.15 (0.11, 0.20) | <0.0001 * | 0.27 (0.21, 0.35) | <0.0001 * |
65+ | 0.25 (0.18, 0.34) | <0.0001 * | 0.11 (0.07, 0.16) | <0.0001 * | 1.28 (0.87, 1.89) | 0.2081 | 028 (0.19, 0.42) | <0.0001 * | 0.06 (0.04, 0.10) | <0.0001 * | 0.17 (0.11, 0.24) | <0.0001 * |
Race | ||||||||||||
White | ref | ref | ref | ref | ref | ref | ||||||
Black | 0.60 (0.49, 0.73) | <0.0001 * | 1.31 (1.01, 1.69) | 0.0417 | 0.82 (0.63, 1.05) | 0.1097 | 1.73 (1.34, 2.24) | <0.0001 * | 1.79 (1.29, 2.32) | <0.0001 * | 1.31 (1.02, 1.69) | 0.0335 |
Hispanic | 0.83 (0.67, 1.02) | 0.0784 | 1.13 (0.88, 1.45) | 0.3237 | 0.74 (0.58, 0.94) | 0.0134 | 1.23 (0.95, 1.59) | 0.1091 | 1.27 (0.99, 1.63) | 0.0594 | 1.09 (0.86, 1.40) | 0.4724 |
Other or Multi | 0.98 (0.76, 1.27) | 0.8749 | 1.29 (0.95, 1.75) | 0.1065 | 1.01 (0.77, 1.33) | 0.957 | 1.84 (1.37, 2.48) | 0.0001 * | 1.82 (1.35, 2.43) | 0.0001 * | 1.65 (1.24, 2.18) | 0.0005 * |
Education | ||||||||||||
Some HS or Less | ref | ref | ref | ref | ref | ref | ||||||
HS Graduate | 1.07 (0.81, 1.40) | 0.6327 | 0.93 (0.62, 1.41) | 0.7476 | 1.83 (0.94, 3.55) | 0.0751 | 0.72 (0.49, 1.07) | 0.102 | 1.24 (0.82, 1.87) | 0.3119 | 1.01 (0.65, 1.56) | 0.9784 |
Some College | 1.45 (1.10, 1.90) | 0.0076 | 1.59 (1.07, 2.37) | 0.0222 | 5.00 (2.62, 9.52) | <0.0001 * | 1.18 (0.81, 1.73) | 0.3791 | 1.97 (1.31, 2.95) | 0.0010 * | 2.23 (1.46, 3.40) | 0.0002 * |
Bachelor Degree | 1.38 (1.04, 1.83) | 0.0265 | 2.22 (1.47, 3.34) | 0.0001 * | 11.98 (6.27, 22.91) | <0.0001 * | 1.33 (0.89, 1.97) | 0.1616 | 1.85 (1.21, 2.83) | 0.0042 | 3.04 (1.97, 4.70) | <0.0001 * |
Master’s Degree or Higher | 1.39 (1.03, 1.87) | 0.03 | 1.98 (1.28, 3.06) | 0.0021 * | 13.38 (6.95, 25.77) | <0.0001 * | 1.28 (0.84, 1.95) | 0.2515 | 1.71 (1.09, 2.69) | 0.0191 | 2.85 (1.81, 4.50) | <0.0001 * |
Employment | ||||||||||||
Unemployed—In Labor Force | ref | ref | ref | ref | ref | ref | ||||||
Unemployed—Not in Labor Force | 0.95 (0.77, 1.18) | 0.6627 | 0.68 (0.49, 0.93) | 0.0165 | 0.68 (0.51, 0.90) | 0.008 | 0.79 (0.58, 1.09) | 0.1493 | 0.59 (0.43, 0.81) | 0.0010 * | 0.65 (0.48, 0.87) | 0.0047 |
Employed | 1.10 (0.92, 1.32) | 0.2912 | 0.92 (0.75, 1.14) | 0.4452 | 1.48 (1.19, 1.83) | 0.0004 * | 0.84 (0.68, 1.05) | 0.1236 | 0.70 (0.57, 0.86) | 0.0007 * | 0.89 (0.72, 1.09) | 0.2627 |
Region | ||||||||||||
Northeast | ref | ref | ref | ref | ref | ref | ||||||
Midwest | 1.14 (0.97, 1.35) | 0.1206 | 1.17 (0.93, 1.48) | 0.1687 | 0.89 (0.73, 1.09) | 0.2762 | 1.20 (0.93, 1.54) | 0.1567 | 0.97 (0.76, 1.24) | 0.801 | 0.98 (0.78, 1.24) | 0.8709 |
South | 1.27 (1.08, 1.49) | 0.0033 | 1.04 (0.84, 1.29) | 0.7133 | 0.90 (0.74, 1.09) | 0.2714 | 1.14 (0.90, 1.45) | 0.2776 | 0.94 (0.74, 1.19) | 0.5902 | 1.00 (0.80, 1.24) | 0.9969 |
West | 1.21 (1.01, 1.46) | 0.0394 | 0.90 (0.70, 1.16) | 0.4212 | 1.11 (0.90, 1.37) | 0.3346 | 1.36 (1.05, 1.76) | 0.0215 | 1.14 (0.88, 1.47) | 0.3154 | 0.95 (0.74, 1.21) | 0.6625 |
Number of observations | 12,900 | 12,900 | 12,900 | 12,900 | 12,900 | 12,900 | ||||||
F-Test | 24.34 | 25.04 | 39.35 | 17.53 | 33.26 | 26.82 | ||||||
p-value | <0.0001 * | <0.0001 * | <0.0001 * | <0.0001 * | <0.0001 * | <0.0001 * | ||||||
F-adj mean res goodness of fit | 1.008 | 0.332 | 0.394 | 1.185 | 0.607 | 0.775 | ||||||
p-value | 0.431 | 0.965 | 0.939 | 0.299 | 0.792 | 0.640 |
Variable | Frequent TV Watching | Frequent Internet Use | Frequent Radio/Streaming Music | Daily Facebook Use | Daily Twitter Use | |||||
---|---|---|---|---|---|---|---|---|---|---|
aOR | p-Value | aOR | p-Value | aOR | p-Value | aOR | p-Value | aOR | p-Value | |
LGB vs. Heterosexual | ||||||||||
Heterosexual | ref | ref | ref | ref | ||||||
LGB | 0.95 (0.73, 1.24) | 0.6931 | 1.89 (1.45, 2.46) | <0.0001 * | 0.92 (0.70, 1.21) | 0.5356 | 1.63 (1.27, 2.11) | 0.0002 * | 1.45 (0.89, 2.37) | 0.1331 |
Smoker vs. Nonsmoker | ||||||||||
Nonsmoker | ref | ref | ref | ref | ||||||
Smoker | 1.33 (1.15, 1.54) | 0.0001 * | 1.38 (1.18, 1.62) | <0.0001 * | 1.11 (0.95, 1.28) | 0.19 | 1.10 (0.95, 1.27) | 0.196 | 1.01 (0.71, 1.46) | 0.9442 |
Gender | ||||||||||
Male | ref | ref | ref | |||||||
Female | 0.82 (0.73, 0.92) | 0.0006 * | 1.11 (0.97, 1.26) | 0.126 | 0.75 (0.67, 0.85) | <0.0001 * | 1.80 (1.60, 2.03) | <0.0001 * | 0.75 (0.57, 0.98) | 0.0335 |
Age | ||||||||||
18–24 | ref | ref | ref | ref | ||||||
25–44 | 1.88 (1.35, 2.62) | 0.0002 * | 0.57 (0.44, 0.73) | <0.0001 * | 1.16 (0.89, 1.51) | 0.2758 | 0.65 (0.51, 0.82) | 0.0004 * | 0.35 (0.24, 0.51) | <0.0001 * |
45–64 | 4.61 (3.34, 6.36) | <0.0001 * | 0.42 (0.33, 0.54) | <0.0001 * | 1.43 (1.10, 1.84) | 0.007 | 0.32 (0.25, 0.41) | <0.0001 * | 0.12 (0.08, 0.19) | <0.0001 * |
65+ | 4.69 (3.30, 6.67) | <0.0001 * | 0.22 (0.16, 0.31) | <0.0001 * | 1.25 (0.93, 1.69) | 0.141 | 0.17 (0.12, 0.22) | <0.0001 * | 0.05 (0.02, 0.13) | <0.0001 * |
Race | ||||||||||
White | ref | ref | ref | ref | ||||||
Black | 0.84 (0.68, 1.03) | 0.0931 | 1.38 (1.11, 1.71) | 0.0031 | 0.60 (0.48, 0.75) | <0.0001 * | 0.46 (0.37, 0.58 | <0.0001 * | 1.82 (1.21, 2.74) | 0.0043 |
Hispanic | 0.77 (0.62, 0.96) | 0.0216 | 1.23 (0.99, 1.53) | 0.0674 | 0.91 (0.74, 1.13) | 0.3996 | 0.74 (0.60, 0.92) | 0.0053 | 1.62 (1.13, 2.34) | 0.0095 |
Other or Multi | 0.71 (0.55, 0.93) | 0.0111 | 1.98 (1.53, 2.55) | <0.0001 * | 0.61 (0.47, 0.79) | 0.0002 * | 0.71 (0.55, 0.91) | 0.0081 | 0.96 (0.57, 1.64) | 0.89 |
Education | ||||||||||
Some HS or Less | ref | ref | ref | ref | ||||||
HS Graduate | 1.30 (0.98, 1.72) | 0.0729 | 0.94 (0.70, 1.27) | 0.6978 | 1.33 (0.96, 1.85) | 0.0891 | 1.34 (1.00, 1.79) | 0.0469 | 0.53 (0.28, 1.00) | 0.0518 |
Some College | 1.18 (0.89, 1.57) | 0.2475 | 1.18 (0.88, 1.58) | 0.274 | 1.65 (1.19, 2.29) | 0.0026 * | 1.51 (1.13, 2.01) | 0.0047 | 0.90 (0.49, 1.66) | 0.7338 |
Bachelor Degree | 1.17 (0.88, 1.57) | 0.2806 | 0.84 (0.61, 1.15) | 0.2774 | 2.00 (1.43, 2.80) | <0.0001 * | 1.37 (1.02, 1.85) | 0.0386 | 1.42 (0.75, 2.68) | 0.2855 |
Master’s Degree or Higher | 0.91 (0.67, 1.23) | 0.5461 | 0.74 (0.53, 1.04) | 0.0867 | 2.05 (1.45, 2.89) | <0.0001 * | 1.27 (0.93, 1.73) | 0.1394 | 1.39 (0.69, 2.77) | 0.3553 |
Employment | ||||||||||
Unemployed—In Labor Force | ref | ref | ref | ref | ||||||
Unemployed—Not in Labor Force | 1.44 (1.17, 1.78) | 0.0007 * | 1.01 (0.80, 1.27) | 0.938 | 0.90 (0.71, 1.13) | 0.363 | 0.85 (0.69, 1.06) | 0.1543 | 0.38 (0.19, 0.75) | 0.0055 |
Employed | 0.85 (0.71, 1.01) | 0.069 | 0.54 (0.45, 0.65) | <0.0001 * | 1.59 (1.33, 1.90) | <0.0001 * | 0.97 (0.83, 1.15) | 0.7555 | 0.73 (0.52, 1.03) | 0.0776 |
Region | ||||||||||
Northeast | ref | ref | ref | ref | ||||||
Midwest | 1.04 (0.88, 1.23) | 0.6322 | 0.78 (0.64, 0.94) | 0.011 | 0.96 (0.82, 1.14) | 0.6623 | 1.04 (0.87, 1.23) | 0.6696 | 1.30 (0.88, 1.93) | 0.1927 |
South | 0.85 (0.72, 1.00) | 0.05 | 0.93 (0.78, 1.11) | 0.4514 | 0.83 (0.70, 0.97) | 0.0211 | 1.14 (0.96, 1.34) | 0.1347 | 1.00 (0.69, 1.46) | 0.997 |
West | 0.89 (0.75, 1.07) | 0.2129 | 0.83 (0.68, 1.02) | 0.0822 | 0.96 (0.80, 1.15) | 0.6657 | 0.96 (0.80, 1.16) | 0.7044 | 1.05 (0.69, 1.60) | 0.8285 |
Number of observations | 12,838 | 12,774 | 12,900 | 12,900 | 12,900 | |||||
F-Test | 27.28 | 18.37 | 14.07 | 30.4 | 14.38 | |||||
p-value | <0.0001 * | <0.0001 * | <0.0001 * | <0.0001 * | <0.0001 * | |||||
F-adj mean res goodness of fit | 0.82 | 1.169 | 0.763 | 1.949 | 0.179 | |||||
p-value | 0.598 | 0.31 | 0.651 | 0.041 | 0.996 |
© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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Seidenberg, A.B.; Jo, C.L.; Ribisl, K.M.; Lee, J.G.L.; Buchting, F.O.; Kim, Y.; Emery, S.L. A National Study of Social Media, Television, Radio, and Internet Usage of Adults by Sexual Orientation and Smoking Status: Implications for Campaign Design. Int. J. Environ. Res. Public Health 2017, 14, 450. https://doi.org/10.3390/ijerph14040450
Seidenberg AB, Jo CL, Ribisl KM, Lee JGL, Buchting FO, Kim Y, Emery SL. A National Study of Social Media, Television, Radio, and Internet Usage of Adults by Sexual Orientation and Smoking Status: Implications for Campaign Design. International Journal of Environmental Research and Public Health. 2017; 14(4):450. https://doi.org/10.3390/ijerph14040450
Chicago/Turabian StyleSeidenberg, Andrew B., Catherine L. Jo, Kurt M. Ribisl, Joseph G. L. Lee, Francisco O. Buchting, Yoonsang Kim, and Sherry L. Emery. 2017. "A National Study of Social Media, Television, Radio, and Internet Usage of Adults by Sexual Orientation and Smoking Status: Implications for Campaign Design" International Journal of Environmental Research and Public Health 14, no. 4: 450. https://doi.org/10.3390/ijerph14040450
APA StyleSeidenberg, A. B., Jo, C. L., Ribisl, K. M., Lee, J. G. L., Buchting, F. O., Kim, Y., & Emery, S. L. (2017). A National Study of Social Media, Television, Radio, and Internet Usage of Adults by Sexual Orientation and Smoking Status: Implications for Campaign Design. International Journal of Environmental Research and Public Health, 14(4), 450. https://doi.org/10.3390/ijerph14040450