Impact of Sports Mass Media on the Behavior and Health of Society. A Systematic Review
Abstract
:1. Introduction
1.1. Sports Information and Emotions
1.2. Regulation
2. Materials and Methods
Process
3. Results
3.1. Data from Studies Selected for Systematic Review
3.2. Data from Studies Selected for Systematic Review
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Authors (year) | Country | Type of Research | Sample | Population (Rank 7 Average Age) | Sport | Type of Media | Instruments * | Type of Influence |
---|---|---|---|---|---|---|---|---|
Albalawi et al. (2015) [37] | Saudi Arabia | Cross-sectional | 14 | Athletes (-) | Various sports | Classification lists | Health | |
Atwell-Seate et al. (2016) [38] | USA | Experimental | 182 | University students (19.26 ± 1.75) | Football | Television | MUP MCP MSM | Emotional |
Bissell et al. (2010) [39] | USA | Cross-sectional | 117 | Adolescents (7–16) | Gymnastics Volleyball Basketball Tennis Horse racing | Television press release | Structured survey | Physical |
Birkner et al. (2016) [24] | Germany | Cross-sectional | 14 | Atlhletes (-) | Football | Television press release | Inquiry | Emotional |
Brady et al. (2007) [40] | USA | Cross-sectional | 319 | University students (18–20) | Contact sports | Television | ATVS ad-hoc | Violence |
Brown and De Matvink (2010) [33] | Argentina | Cross-sectional | 360 | University students (-) | Football | Television | Structured survey | Health |
Burk et al. (2016) [33] | Germany | Cross-sectional | 8654 | General population (16–60) | Football | Social media Television press release | Ad-hoc | Health |
Checchinato et al. (2015) [41] | Italy | Cross-sectional | 375 | Athletes (-) | Football | Internet | Ad-hoc | Consumption |
Cranmer et al. (2017) [42] | USA | Experimental | 49 | University students (19.18 ± 1.78) | Football | Television | FKGLT | Physical |
Cummnis et al. (2017) [27] | USA | Experimental | 122 | University students (20.91 ± 1.93) | Football | Radio | MTM | Emotional |
Devlin et al. (2016) [43] | USA | Experimental | 979 | General population (16–65) | Football | Television | Ad-hoc | Emotional |
Devlin et al. (2017) [8] | USA | Cross-sectional | 715 | General population (18–65) | Various sports | Television | Personality inventory SSIS Ad-hoc | Consumption |
English (2016) [44] | Australia | Cross-sectional | 364103 | Sports journalist (-) Press articles (-) | Football Rugby Hockey | Structured survey Ad-hoc | Consumption | |
Fortest et al. (2015) [45] | Brasil | Cross-sectional | 133 | Athletes (12–17) | Gymnastics Athletics | Television press release | SATAQ-3 BSQ | Physical |
Gao (2012) [46] | China | Cross-sectional | 398 | University students (-) | Football Basketball | Television Internet | SQIICPSISB | Health |
Gietzen et al. (2017) [34] | USA | Cross-sectional | 2793 | Adolescents (14.4) | Footing Football | Television | Ad-hoc | Health |
Gong (2017) [47] | USA | Experimetal | 12 | Fanatics (20–25) | Football | Television | Interview | Emotional |
Godoy-Pressland (2016) [48] | England | Cross-sectional | 22,717 | Athletes (-) | Football | Press release | Content coding | Physical |
Hardy (2015) [49] | Canada | Cross-sectional | 9 | Athletes (-) | Rugby | Television | Structured survey | Physical |
Kennard et al. (2018) [50] | Australia | Cross-sectional | 52 | Athletes (-) | Rugby | Television | Content coding | Emotional |
Kim et al. (2011) [23] | Korea | Cross-sectional | 1444 | General population (18–67) | Football | Television | EHESV | Emotional |
Knobloch et al. (2009) [51] | USA | Cross-sectional | 113 | University students (-) | Football | Television | SSIS PANAS | Emotional |
Knoll et al. (2014) [26] | Germany | Experimental | 328 | General population (29.03 ± 12.48) | Football | Television | Ad-hoc | Emotional |
Licèn et al. (2008) [52] | Slovenia | Cross-sectional | 2 | Sports Commentators | Basketball | Television | Classification of content | Emotional |
Li et al. (2015) [53] | China | Cross-sectional | 16 | General population (24–42) | Football Swimming Basketball | Television | Semi-structured survey | Health |
Mastro et al. (2012) [20] | USA | Cross-sectional | 244 | University students (22–26) | Hockey Gymnastics Football Basketball | Press | Ad-Hoc | Consumption |
Mudrick et al. (2017) [10] | USA | Experimental | 544 | Adults (35.3 ± 11.2) | Basketball | Television | MRNI-R | Emotional |
Mudrick et al. (2016) [32] | USA | Experimental | 630 | University students (18–33) | Football | Twitter | Ad-hoc | Emotional |
Nerini (2015) [54] | Italy | Cross-sectional | 67 68 | Athletes (10–14) Sedentary individuals (11–14) | Ballet | Television Press | SATAQ-3 BSQ | Health |
Ren (2017) [55] | China | Cross-sectional | 172 | Adolescents (-) | Various sports | Television press release APP | Ad-Hoc | Health |
Rubenking (2016) [56] | USA | Cross-sectional | 570 | University students (19.42 ± 2.28) | Various sports | Television | ITQ MPI | Consumption |
Sherwood et al. (2017) [4] | Australia | Cross-sectional | 37 | Sports organizers (20–59) | Tenis Cricket Rugby | Television | SGB NVivo | Consumption |
Smith et al. (2015) [57] | Australia | Cross-sectional | 46 | General population (18–65) | Various sports | Television | Semi-structured survey | Health |
Swami et al. (2009) [58] | England | Experimental | 81 44 | Athletes (24–29) Sedentary individuals (26–28) | Athletics Martial | Television | SATAQ-3 PFRS ISAS | Physical |
Thompson et al. (2016) [59] | Australia | Cross-sectional | 105 | General population (18–54) | Tennis | Facebook | Ad-hoc | Consumption |
Voorveld et al. (2015) [60] | USA | Cross-sectional | 273 | General population (19–50) | Various sports | Television | VCM | Consumption |
Type of Influences | Frequency of Inclusion in Research Studies | Percentage |
---|---|---|
Influence on health | n = 8 | 22.2% |
Emotional influence | n = 12 | 33.3% |
Physical influence | n = 7 | 19.5% |
Influence on violence | n = 1 | 2.8% |
Influence on consumption | n = 8 | 22.2% |
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Pilar, P.-M.; Rafael, M.-C.; Félix, Z.-O.; Gabriel, G.-V. Impact of Sports Mass Media on the Behavior and Health of Society. A Systematic Review. Int. J. Environ. Res. Public Health 2019, 16, 486. https://doi.org/10.3390/ijerph16030486
Pilar P-M, Rafael M-C, Félix Z-O, Gabriel G-V. Impact of Sports Mass Media on the Behavior and Health of Society. A Systematic Review. International Journal of Environmental Research and Public Health. 2019; 16(3):486. https://doi.org/10.3390/ijerph16030486
Chicago/Turabian StylePilar, Puertas-Molero, Marfil-Carmona Rafael, Zurita-Ortega Félix, and González-Valero Gabriel. 2019. "Impact of Sports Mass Media on the Behavior and Health of Society. A Systematic Review" International Journal of Environmental Research and Public Health 16, no. 3: 486. https://doi.org/10.3390/ijerph16030486
APA StylePilar, P. -M., Rafael, M. -C., Félix, Z. -O., & Gabriel, G. -V. (2019). Impact of Sports Mass Media on the Behavior and Health of Society. A Systematic Review. International Journal of Environmental Research and Public Health, 16(3), 486. https://doi.org/10.3390/ijerph16030486