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A multi-method exploration into the social networks of young teenagers and their physical activity behavior
- Source :
- BMC Public Health, BMC Public Health, 2021, Vol.21(1), pp.77 [Peer Reviewed Journal], BMC Public Health, Vol 21, Iss 1, Pp 1-18 (2021), Montgomery, S C, Donnelly, M, Badham, J, Kee, F, Dunne, L & Hunter, R F 2021, ' A multi-method exploration into the social networks of young teenagers and their physical activity behavior ', BMC Public Health, vol. 21, no. 1, pp. 77 . https://doi.org/10.1186/s12889-020-10081-0
- Publication Year :
- 2020
-
Abstract
- BackgroundThere is a need for novel interventions to target inadequate levels of adolescent physical activity behavior. Previous research indicates that better understanding of the processes by which social networks influence physical activity behavior in adolescents may be useful to enhance intervention design.MethodsThis study used a multi-methods approach to aid our understanding about the role of social networks for adolescent physical activity behavior. The quantitative phase of data collection was analyzed using a three-step linear regression model using cross-sectional data from the WiSe study (n = 529 participants, 48.6% female, mean age 14.38 years (SD 0.32)). A demographically reflective sub-sample of schools were invited to take part in the qualitative phase, which involved focus group discussions. Thematic analysis was used to explore findings from the quantitative phase in greater depth, and identify other themes pertaining to the association between social networks and physical activity behavior.ResultsMales’ physical activity behavior was predicted by theirfriend group(0.46,p = 0.007) whereas females’ physical activity was predicted by theirbest friend(0.21,p = 0.03). The three main findings that were uncovered by the regression analysis were explored during the qualitative phase: 1) friends have similar physical activity behaviors; 2) friendship social networks may influence differently early adolescent male and female physical activity behavior; 3) popularity and sociability were not associated with physical activity behavior. Two additional themes emerged from the analysis of focus group data: 4) social norms and 5) external factors that may impact the relationship between adolescent physical activity behavior and social networks.ConclusionsThe investigation of the interplay between the findings from each phase of the inquiry indicated that social networks influence in different ways and to different degrees the physical activity of adolescent males and females. In turn, these insights point to the need for a systematic tailoring process for the development and implementation of physical activity behavior interventions.
- Subjects :
- Male
Adolescent
media_common.quotation_subject
Psychological intervention
Friends
Adolescents
Social networks
Developmental psychology
Social Networking
03 medical and health sciences
0302 clinical medicine
Medicine
Humans
030212 general & internal medicine
Association (psychology)
Exercise
media_common
Data collection
business.industry
Physical activity
lcsh:Public aspects of medicine
Multi-methods analysis
Public Health, Environmental and Occupational Health
Social Support
lcsh:RA1-1270
030229 sport sciences
Focus group
Popularity
Friendship
Cross-Sectional Studies
Adolescent Behavior
Female
Biostatistics
Thematic analysis
business
Research Article
Subjects
Details
- ISSN :
- 14712458
- Volume :
- 21
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC public health
- Accession number :
- edsair.doi.dedup.....16f8e2f1e5ad745a72d98894d9447085
- Full Text :
- https://doi.org/10.1186/s12889-020-10081-0