Multiple Health Behaviors across Age: Physical Activity and Internet Use.
Objectives: We investigated whether social-cognitive variables predicted physical activity behavior and whether Internet use interrelated with the mediator, across age groups. Methods: Participants (N = 466) were recruited for an online survey and path analyses were run to generate a proposed model...
| Publicado en: | American Journal of Health Behavior Vol. 44; no. 3; pp. 333 - 345 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
PNG Publications
May/Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142625835&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142625835 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10873244 8GA jtl: American Journal of Health Behavior issn: 10873244 maglogo: N pubinfo: dt: May/Jun2020 vid: 44 iid: 3 pid: 8968 pub: PNG Publications place: Oak Ridge, North Carolina artinfo: ui: 142625835 142625835 142625835 10.5993/AJHB.44.3.6 142625835 ppf: 333 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Multiple Health Behaviors across Age: Physical Activity and Internet Use. aug: au: Lingling Gao Yiqun Gan Lippke, Sonia affil: Department of Psychology & Methods, Jacobs University Bremen, Germany sug: subj: Health Behavior Physical Activity Internet Utilization Human Internet Surveys Adolescence Adult Middle Age Questionnaires Path Analysis Structural Equation Modeling Descriptive Statistics Data Analysis Software Female Male Chi Square Test Pearson's Correlation Coefficient Self-Efficacy Intention Funding Source Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Objectives: We investigated whether social-cognitive variables predicted physical activity behavior and whether Internet use interrelated with the mediator, across age groups. Methods: Participants (N = 466) were recruited for an online survey and path analyses were run to generate a proposed model examining late adolescents (Group 1, aged 17-20 years), young adults (Group 2, aged 21-40 years), and middle-aged adults (Group 3, aged 41-60 years). Results: Positive associations between physical activity variables were as expected: the relationships between selfefficacy and intention, self-efficacy and behavior, planning and behavior were statistically significant in Groups 1 and 2. The relationships between intention and planning were statistically significant in Groups 2 and 3. All groups showed statistically significant relationships between self-efficacy and planning. Positive associations between Internet use and physical activity emerged only in Group 1. Internet use was negatively correlated with physical activity planning only in Group 3. Conclusions: Late adolescents should be supported to enhance physical activity planning, and middle-aged adults may benefit from support in reducing the possible conflicts between physical activity planning and time spent online. Furthermore, increasing self-efficacy for all groups is key to adopting and maintaining physical activity. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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