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Predicting adolescents' use of social networking sites from an extended theory of planned behaviour perspective
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“In addition, research has demonstrated that previous modified versions of TPB that incorporated some of these factors (e.g., personality) have explained a significant amount of variance in excessive SNSs use and addiction -past variants of modified TPB have explained between 45% and 58% of the variance in SNSs use and addiction (Baker & White, 2010;Pelling & White, 2009).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“First, studies have shown that attitude and subjective norms are positively related with individuals' intention to engage in high levels of SNSs use (Baker & White, 2010;Pelling & White, 2009).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“At the same time, some studies did not find association between self-esteem and SNSs use, as well as SNSs addiction (Baker & White, 2010;Skues, Williams, & Wise, 2012;Wilson et al., 2010).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“Past research have shown that while attitude is often a significant antecedent of intention, its relationship with actual behavior is often nonsignificant (Baker & White, 2010;Pelling & White, 2009).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“This suggests that a favorable evaluation of SNSs itself is not a strong motivator to drive individuals into using SNSs excessively.”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
Citations
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“Peng et al. [18] use it to study internet adoption in Hong Kong, and Baker and White [3] apply it to the study of adolescents’ use of socialnetworking sites.”
BackgroundCompulsive Social Media Use and Impulsive Buying: Social Capital in the Postpandemic Era
Arghashi, V. (2025) · International Journal of Electronic Commerce · doi:10.1080/10864415.2024.2442144 · Cited by 7
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“As extensively acknowledged, high frequency of discussion behavior about a particular type of information among SNS users is an important indicator of the impact generated by such information (Baker and White 2010; Chen 2013; Coleman and Blumler 2009; Hais and Morley 2009).”
BackgroundMethodTheory of Planned Behavior (TPB) Ajzen (1988)
Maskari, A. A. (2015) · Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series · doi:10.4018/978-1-4666-8156-9.ch015 · Cited by 6
Helping others use social media: age stereotypes when estimating learner’s success
Ginsburg, H. J., Cameron, R., Méndez, R. V., & WESTHOFF, M. (2017) · Psychology Society & Education · doi:10.25115/psye.v8i1.456 · Cited by 6
“Past research has predominantly focused on user characteristics which predict future use of social media (Baker & White, 2010).”
MethodDeterminants and prevalence of Social Networking addiction among varsity students in Malaysia.
Jamaluddin, H., Jeyakumar, R., & Ling, L. Y. (2012) · Cited by 6
STUDENT LEARNING MOTIVATIONS IN THE FIELD OF MANAGEMENT WITH (AND WITHOUT) GAMIFICATION
Silva, R., Rodrigues, R. G., & Leal, C. T. P. (2020) · Journal of Management and Business Education · doi:10.35564/jmbe.2020.0005 · Cited by 7
“The possibility of playing as a group, creating a profile, and having access to the answers of other users allowed for an interaction close to that of a social network (Baker & White, 2010; Lin & Lu, 2011).”
BackgroundThis thing of social media! Going business or socialisation? Solving the great dilemma
Assensoh-Kodua, A. (2019) · foresight · doi:10.1108/fs-04-2019-0028 · Cited by 6
Naser, A. B., & Al-Tit, A. A. (2023) · International Journal of ADVANCED AND APPLIED SCIENCES · doi:10.21833/ijaas.2023.09.015 · Cited by 5
To Post or Not to Post? Factors Influencing State FFA Officers’ Social Media Behaviors
Rogers-Randolph, T. M., Lundy, L., Telg, R. W., Rumble, J. N., Myers, B. E., & Lindsey, A. B. (2021) · Journal of Applied Communications · doi:10.4148/1051-0834.2362 · Cited by 5
“The target behavior was operationally defined as “using social networking sites [e.g. MySpace, Facebook, etc.] at least twice a day” (Baker & White, 2010, p. 1594).”
BackgroundMethodInfluentialDo evaluation and self-identification relate to self-reported and actual social media use?
Cathelyn, F., Dessel, P. V., Cummins, J. D., & Houwer, J. D. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00042 · Cited by 5
Social Networking Sites Withdrawal
Osório, C., Wilson, R., & Papagiannidis, S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67217-5_24 · Cited by 5
News Consumption through SNS Platforms: Extended Motivational Model
Ahmed, I. S. Y., Idid, S. A., & Ahmad, Z. A. (2018) · Media Watch · doi:10.15655/mw/2018/v9i1/49280 · Cited by 5
Li, K., & Liang, R. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-06300-x · Cited by 12
“As social media is designed to maintain connections among acquaintances, users ’ attitudes are in fl uenced by their friends ’ perspectives (Powell, 2009; Baker and White, 2010).”
Cognitive and Affective Correlates of Cyber-Slacking in Chinese University Students
Dang, L., Kwan, L. Y. ‐., Zhang, M. X., & Wu, A. M. S. (2023) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-023-00752-y · Cited by 4
“Minor cyber-slacking behaviors are physically and cognitively non-demanding and are associated with the common perception that “I can stop it whenever I want” (Baker & White, 2010).”
Analyzing the interplay between social media analytics and nudges in pandemic control
Kumar, A., Tewary, A., & Upadhyay, P. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100246 · Cited by 4
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Motive on Social Networking Service Usage of Restaurant Customers
Shin, S., & Cha, S.-M. (2013) · Culinary Science & Hospitality Research · doi:10.20878/cshr.2013.19.1.009 · Cited by 4
Eco-friendly and healthy consumption of young Saudis: its stimuli and welfare
Toukabri, M. T., & AL-Ghaswyneh, O. F. M. (2019) · Middle East J of Management · doi:10.1504/mejm.2019.10023196 · Cited by 4
Deniz, E., & Kazu, H. (2022) · Athens Journal of Education · doi:10.30958/aje.9-2-6 · Cited by 4
“…in social networks of students in the younger age group, negative relationship styles develop in students (Amichai-Hamburger & Hayat, 2011; Baker & White, 2010; Van-Cleemput, 2010), academic success is negatively affected (Ryan, 2007), negative attitudes and perceptions develop…”
BackgroundChen, M., Wang, H., & Ruobing, Z. (2023) · SHS Web of Conferences · doi:10.1051/shsconf/202315503011 · Cited by 4
“When assessment is more positive, the individuals are more likely to implement specific behaviors [5] .”
BackgroundLiang, R., Ye, Z., Zhang, J., & Du, W. (2023) · Kybernetes · doi:10.1108/k-02-2023-0190 · Cited by 4
Xia, H., Liu, Y., & Hou, G. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1412034 · Cited by 4
The Effects of Network Externality and Flow Experience on Mobile SNS Continuance
Zhou, T. (2017) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.2017040104 · Cited by 4
“Baker and White (2010) found that attitude, perceived behavioral control and group norm affect a user’s intention to adopt SNS.”
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What drives continuance intention to share location-based information?
Hsiao, K. (2016) · International Journal of Mobile Communications · doi:10.1504/ijmc.2017.10001843 · Cited by 10
Predicting intention to work with social robots
Piçarra, N. J. G. (2015) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.13140/rg.2.1.4318.2162 · Cited by 4
From Selfie to Avatar: How Social Media Affects Self-Image Cognition and Optimization?Preprint
Jun, W. A. N. G., Yao, K., Liang, J., Tan, L., & Gao, Z. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4121319 · Cited by 4
Xia, H., Xing, Z., & Liu, Y. (2025) · Behavioral Sciences · doi:10.3390/bs15050635 · Cited by 3
“Group norms have garnered widespread attention across various research domains, influencing outcomes such as individual behaviors and performances (Baker & White, 2010).”
Assensoh-Kodua, A., & LEKHANYA, L. M. (2014) · Journal of Economics and Behavioral Studies · doi:10.22610/jebs.v6i5.500 · Cited by 4
“Ajzen`s theory of planned behaviour was recently applied to social networking by Baker & White (2010) who conducted a study examining use of the theory to predict adolescents` use of social networking.”
MethodClassification of User Behaviour in Mobile Internet
Srinidhi, V. (2016) · Asia-pacific Journal of Convergent Research Interchange · doi:10.21742/apjcri.2016.06.02 · Cited by 3
Stages of Concern and Parasocial Interaction: Perception, Attitude, and Adoption of Social Media
Li, R. Y., & Lin, S. (2018) · IEEE International Conference on Knowledge Innovation and Invention (ICKII) · doi:10.1109/ickii.2018.8569132 · Cited by 3
“SNSs play a central role in the current global economic and social environment [4].”
BackgroundSocial Factors Influence on Accounting Students Attitude to Use Games Based Learning
Silva, R., Rodrigues, R. G., & Leal, C. T. P. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.95430 · Cited by 4
Tüketicilerde Organik Gıda Ürünü Satın Alma Niyeti; Aydın İli Örneği
ÇINAR, N., Engindeniz, S., & ÇINAR, G. (2021) · Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.30803/adusobed.831579 · Cited by 3
Impact of COVID-19 on Food Consumption and Marketing
Nair, S. R. (2021) · Advances in business strategy and competitive advantage book series · doi:10.4018/978-1-7998-7689-2.ch004 · Cited by 3
Wang, Y., Liu, H., Pei, Y., & Wu, B. (2022) · Sexual & Relationship Therapy · doi:10.1080/14681994.2022.2025776 · Cited by 3
“For example, PBC has not reflected actual control accurately in using the internet and social networking sites (Baker & White, 2010; Matute et al., 2007).”
Understanding the use of Local Food Through the Extended Theory of Planned Behaviour
Ülker, M., & Karamustafa, K. (2023) · DETUROPE - The Central European Journal of Tourism and Regional Development · doi:10.32725/det.2023.004 · Cited by 4
Usage of Social Media by Children and Teenagers
Velicu, A., & Marinescu, V. (2019) · IGI Global eBooks · doi:10.4018/978-1-5225-8900-6.ch008 · Cited by 3
Baghkheirati, A. J., Ghahremani, L., Kaveh, M. H., & Keshavarzi, S. (2015) · Cited by 3
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Yesiloglu, S. (2018) · Bournemouth University Research Online (Bournemouth University) · Cited by 3
Study on effects of user's emotional attachment to SNS on switching behaviors
장은진, & 김정군 (2015) · The e-Business Studies · doi:10.15719/geba.16.6.201512.255 · Cited by 2
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BAYNİŞ, İ. K., & Geçti, F. (2022) · Pazarlama ve Pazarlama Araştırmaları Dergisi · doi:10.15659/ppad.15.3.1146987 · Cited by 2
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“Social influence was found to be necessary to adolescents as it helps them in maintaining a positive identity, as well as creating favourable self-influence over others (Baker & White, 2010).”
BackgroundLi, N., Zhang, W.-X., Sun, Y., Li, T., Cao, W., Yang, Q., & Zhang, X. (2023) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s393401 · Cited by 1
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Role of Self-Concept and Emotional Maturity in Excessive Internet Usage
Arati Visala, J., & Rawat, M. V. (2016) · International Journal of Indian Psychology · doi:10.25215/0303.080 · Cited by 2
“A similar study conducted by Baker and White (2010) which aimed at studying the influences on the adolescents use of the technology.”
Understanding changes in perceptions and behaviour of train passengers during the Covid 19 pandemic
Nurhadi, N., & Suryadari, R. T. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/824/1/012107 · Cited by 2
Lee, D. Y., & Jeong, B. J. C. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0035 · Cited by 2
“This finding is consistent with Baker and White, 64 in which intention was the immediate antecedent to behavioral prediction of SNS use.”
Validação de uma Escala Multidimensional para o Uso de Mídias Sociais
de Queiroz, L. S., & Luft, M. C. M. S. (2018) · ReMark - Revista Brasileira de Marketing · doi:10.5585/remark.v17i4.3905 · Cited by 2
Consumers’ acceptance and resistance to virtual bank: views of non-users
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“네트워크 외부성이 소비자 반응에 미치는 영향력을 살펴본 연 구들에 의하면 특정 서비스를 이용하는 지인들이 증가할수록 해 당 서비스를 이용하고자 하는 의도가 증가하는 것으로 나타났으며 (Baker & White, 2010; Kim et al., 2013), 특정 서비스의 네트 Vol.57, No.2, May 2019: 171-183 | 175 www.fer.or.kr 워크 크기가 커질수록 소비자들이 해당 서비스를 수용하는데 소 요되는 시간이 단축되는 것으로 나타났다(Morrison, 2002).”
Assensoh-Kodua, A. (2015) · DUT Open Scholar (Durban University of Technology) · doi:10.51415/10321/1184 · Cited by 2
Joining, participating in and withdrawing from a social networking site
Toro, O., & Andres, C. (2015) · Cited by 2
EXPLORING THE IMPACT OF ONLINE TRAINING DESIGN ON VOLUNTEER MOTIVATION AND INTENTION TO ACT
Frendo, M. (2017) · Michigan State University Libraries · doi:10.25335/fz5z-k814 · Cited by 2
Social Media as a Crisis Response : How is the water crisis in Cape Town dealt with on Twitter
Pettersson, S. (2018) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 2
Behavior Analysis in Social Networks
Li, L. (2018) · Springer eBooks · doi:10.1007/978-1-4939-7131-2_110198 · Cited by 2
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Ahmad, S. A. (2011) · UUM Electronic Theses and Dissertation [eTheses] (Northern University of Malaysia) · Cited by 2
Rose, A., Katzarska-Miller, I. I., & Reysen, S. (2024) · Trends in Psychology · doi:10.1007/s43076-024-00424-w · Cited by 1
“…al., 2010), the use/purchase of services and goods (Choo et al., 2016; Han & Kim, 2010; Han et al., 2010), recreational behavior (Haagsma et al., 2013), online behaviors (Baker & White, 2010; Lwin & Williams, 2003), and personal beliefs (Conaster et al., 2002; Shapiro et al., 2011) to name a few.”
Zhao, Y., Li, G., & Mo, Z. (2025) · Aslib Journal of Information Management · doi:10.1108/ajim-07-2024-0541 · Cited by 1
Sainger, G. (2025) · The Social Science Journal · doi:10.1080/03623319.2025.2543814 · Cited by 1
“Additionally, when considering the effect of social influence, the research revealed that subjective norms might be a more accurate indicator of behavior intention and change (Baker & White, 2010).”
Rhoton, C. E. (2014) · Digital Commons (Liberty University) · Cited by 1
A Literature Review on Human Behavioral Pattern through Social Media Use
Subramanian, K. S., Sinha, V., Bhattacharya, S., Chaudhary, K., & Kulkarni, R. (2013) · International Journal of Cyber Behavior Psychology and Learning · doi:10.4018/ijcbpl.2013040105 · Cited by 1
Assensoh-Kodua, A. (2015) · Journal of Governance and Regulation · doi:10.22495/jgr_v4_i1_p8 · Cited by 1
“TPB was recently applied to confirm factors of attitude, perceived behavioural control and social norm as predicting intentions to use social networking sites (Baker and White 2010) and proved successful.”
MethodStudents’ Awareness of Social Networks Profile Usage in Screening and Selecting Job Applicants
Ocansey, E. O. N. D., Karikari, A. F., & Issaka, A. (2018) · International Journal of Innovative Research and Development · doi:10.24940/ijird/2018/v7/i3/mar18017 · Cited by 1
“Many researchers have used the theory of planned behavior to predict several behaviors (Baker & White, 2010;Stone, Jawahar & Kisamore, 2010; Robinson & Doverspike, 2006).”
BackgroundDeterminants of Users’ Intention to Use Social Media Apps
ŞAHİN, F., Alkaya, A., & Taşkın, E. (2019) · Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi · doi:10.32709/akusosbil.478170 · Cited by 1
“…sociality, information, shop, conformity, product inquiry, impression, game and update, Schaefer (2008) sociality, entertainment and information, Baker and White (2010) sociality, passing time, entertainment, collective self-esteem, learning, and social compensation, Brandtzæg and Heim (2009)…”
BackgroundSosyal Paylaşım Sitelerinde Bilgi Paylaşma Niyeti ve Cinsiyetin Rolü
KARABIYIK, B. K., & ÇETİN, M. (2022) · Akdeniz Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · doi:10.25294/auiibfd.970157 · Cited by 1
Vraimaki, E., Koloniari, M., Briana, M., & Koulouris, A. (2022) · Journal of Electronic Resources Librarianship · doi:10.1080/1941126x.2022.2133326 · Cited by 1
“First, it is economical and has been successfully applied to the prediction of a considerable number of diverse behaviors, including social media engagement (Baker & White, 2010) and cessation of use (Luqman et al., 2018).”
MethodKumar, A. (2024) · Journal of Facilities Management · doi:10.1108/jfm-02-2023-0022 · Cited by 1
Make a Charitable Birthday Wish on Facebook: An Extended Theory of Planned Behavior
Zhou, L., & Xue, F. (2024) · Journal of Nonprofit & Public Sector Marketing · doi:10.1080/10495142.2024.2360197 · Cited by 1
“However, more and more recent studies, including the current study, have showed weak or even opposite connections between perceived behavior control or self-efficacy and behavioral intentions for online activities (e.g., Baker & White, 2010; Sanne & Wiese, 2018; Shneor & Munim, 2019).”
Usage of Social Media by Children and Teenagers
Velicu, A., & Marinescu, V. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-2970-7.ch008 · Cited by 1
“Just as many authors point out, (boyd, 2007, Valkenburg & Peter, 2011, Baker & White, 2010, Holmes, 2009), the research regarding the use of SNS by the youth (from the frequency and motivation of the usage to the opportunities and risks involved) have different and, sometimes, even conflicting…”
BackgroundBerehalako mezularitzan erabilitako hizkuntza: ezaugarriak eta erabiltzaileen pertzepzioak
Etxeberria, G. B. (2017) · Tantak · doi:10.1387/tantak.17864 · Cited by 1
Ahmed, I. S. Y., El-Kasim, M., & Mustapha, L. K. (2017) · Media Watch · doi:10.15655/mw/2017/v8i2/49010 · Cited by 1
‘Last seen now’: Explaining teenage identities and social capital on social network sites in Kenya
Sikolia, G. S., & Mberia, H. (2019) · Journal of Development and Communication Studies · doi:10.4314/jdcs.v6i1.2 · Cited by 1
“…still emerging, with questions regarding exactly what they do on these sites, whom they interact with, and how their SNSs use relates to their other online and off-line activities still lingering (Baker & White, 2010; Boyd & Ellison, 2008; Subrahmanyam, Reich, Waechter & Espinoza, 2008; Ahn, 2011).”
BackgroundHopp, T., & Sheehan, K. B. (2020) · Journal of Information Technology & Politics · doi:10.1080/19331681.2020.1740906 · Cited by 1
SAUDI WOMEN BEHAVIOR TOWARDS THE ACCEPTANCE OF INDUSTRIAL SMALL BUSINESS
Almohaimmeed, B. M., Al-Tit, A. A., & Hasaballah, A. H. A. (2020) · Verslas teorija ir praktika · doi:10.3846/btp.2020.11551 · Cited by 1
“Perceptions of a social group such family members or friends (Davis et al., 2002) toward a specific behavior affect the individual’s intention to perform that behavior or to keep from it (Baker & White, 2010).”
BackgroundMethodInfluentialSafira, N. A., & Diantina, F. P. (2021) · Jurnal Riset Psikologi · doi:10.29313/jrp.v1i1.152 · Cited by 11
Dang, V. H., & Bui, H. V. (2022) · Science and Technology Development Journal · doi:10.32508/stdj.v25i2.3296 · Cited by 1
Ho, H. T. N., Luong, H. T., & Phan, Q. A. (2024) · Asian Communication Research · doi:10.20879/acr.2024.21.007 · Cited by 1
Incorporating technology into South African entrepreneurial training
Steyn, R. (2015) · Cited by 1
Determinants of knowledge sharing intention in e-learning
Hosseini, S. A. (2015) · Cited by 1
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“Peng et al. (2012) used it to study internet non-users in Hong Kong, and Baker and White (2010) applied it to the study of adolescents' use of social-networking sites.”
MethodSymington, S. (2014) · Boloka Institutional Repository (North-west University)
Metadata
- Authors
- Baker, R. K., & White, K. M.
- Affiliations
- Queensland University of Technology (AU)
- Corresponding author
- White, Katherine M.
- ORCID
- White, Katherine M.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 26
- Issue
- 6
- Pages
- 1591-1597
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W1979449984
- Cited by
- 359
- References
- 51
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 18 · 2023: 23 · 2022: 27 · 2021: 29 · 2020: 24 · 2019: 26 · 2018: 29 · 2017: 33 · 2016: 17 · 2015: 41 · 2014: 24 · 2013: 24 · 2012: 9
- FWCI
- 44.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- social networking sites, adolescents, extended theory of planned behavior, self-esteem, attitudes, perceived behavioral control, intention
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