Is the popularity of social networking services beneficial for public health? Focusing on active travel and BMI
| Autor: | Jinhyun Hong, Katarzyna Sila-Nowicka, David Philip McArthur |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Gerontology
medicine.medical_specialty media_common.quotation_subject Binomial regression Population 0211 other engineering and technologies Transportation 02 engineering and technology Affect (psychology) 0502 economics and business medicine Social media Safety Risk Reliability and Quality education media_common Multinomial logistic regression 050210 logistics & transportation education.field_of_study Health Policy Addiction Public health 05 social sciences Public Health Environmental and Occupational Health 021107 urban & regional planning Pollution Popularity Psychology Safety Research |
| ISSN: | 2214-1405 |
| Popis: | Social networking services (SNSs) can affect people's behaviour in a variety of ways; and through this their health outcomes. People generate and are exposed to content which circulates easily among a large, geographically dispersed population. They can also engage in supportive or competitive activities with their connections and the wider community. This online activity may lead to changes in behaviour and positive health outcomes e.g., exercising more or eating more healthily. Engaging with a SNS may also lead to negative outcomes such as depression, addiction, and less participation in offline social communities. As the number of SNS users has been increasing dramatically, it is important to understand if this will be beneficial or detrimental for public health. In this study, we examine how the frequency of SNS use is associated with active travel (i.e., walking and cycling) and body mass index (BMI) in the Glasgow and Clyde Valley Planning area, Scotland. We employ both a self-reported measure of active travel from a travel diary (N = 1684) and an objective measure of average walking hours from Global Positioning System (GPS) data (N = 282) collected in 2015. These are analysed with statistical models (i.e., binomial logistic regression, multinomial logistic regression and linear regression models). We find that there is no significant association between the frequency of SNS use and our subjective measure of active travel, while people who intensively use SNS are more likely to be obese than non-users. However, analyses with an objective measure of average walking hours (GPS) show that people who intensively use SNS spend less time walking and tend to be obese, calling for further analyses. |
| Databáze: | OpenAIRE |
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