Using the Web to Increase Physical Activity in College Students

Magoc, Dejan; Tomaka, Joe; Bridges-Arzaga, Amber

doi:10.5993/ajhb.35.2.2

Cited by 33 publications

(59 citation statements)

References 18 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…25 The most frequently used self-report measures were the International Physical Activity Questionnaire (n = 12), Godin Leisure Time Exercise Questionnaire (n = 8), Seven-Day Physical Activity Recall (n = 8), Paffenbarger Physical Activity Questionnaire (n = 6), and the Active Australia Survey (n = 4). Additionally, 4 studies incorporated an aerobic fitness outcome (eg, submaximal treadmill test or walk test), 37,59,66,69 and 3 studies did not specify the measure used to assess physical activity. 59,81,85 …”

Section: Resultsmentioning

confidence: 99%

Internet-Based Physical Activity Interventions

Joseph¹,

Durant

Benitez

et al. 2013

American Journal of Lifestyle Medicine

125

126

View full text Add to dashboard Cite

This article provides a comprehensive review of Internet– and Website–based physical activity interventions targeting adult populations. Search procedures identified 72 unique Internet-based physical activity interventions published in peer-reviewed journals. Participants of the studies were predominately White, middle-aged (mean age = 43.3 years), and female (65.9%). Intervention durations ranged from 2 weeks to 13 months (median = 12 weeks). Forty-six of the studies were randomized controlled trials, 21 were randomized trials without a control condition, 2 were non–randomized controlled trials, and 3 used a single-group design. The majority of studies (n = 68) assessed outcomes immediately following the end of the intervention period, and 16 studies provided delayed postintervention assessments. Forty-four of the 72 studies (61.1%) reported significant increases in physical activity. Future directions for Internet-based physical activity interventions include increasing representation of minority and male populations in Internet-based efforts, conducting delayed postintervention follow-up assessments, and incorporating emerging technologies (ie, cellular and Smartphones) into Internet-based physical activity efforts.

show abstract

Section: Resultsmentioning

confidence: 99%

Internet-Based Physical Activity Interventions

Joseph¹,

Durant

Benitez

et al. 2013

American Journal of Lifestyle Medicine

125

126

View full text Add to dashboard Cite

show abstract

“…These findings are consistent with results from earlier reviews (van den Berg et al, 2007; Vandelanotte et al, 2007) and meta-analyses (Davies et al, 2012). However, these encouraging results are somewhat limited in that we were unable to identify any Internet-based physical activity intervention studies focused on racial/ethnic minority groups and have identified only one study to date with a majority (78%) Latino sample (Magoc, Tomaka, & Bridges-Arzaga, 2011). To address this disparity, our research team developed and tested an internet-based physical activity intervention for Latinas (Marcus et al, 2015) which found encouraging results after the six-month active intervention phase (Marcus et al, 2016).…”

Section: Introductionmentioning

confidence: 95%

Physical activity maintenance among Spanish-speaking Latinas in a randomized controlled trial of an Internet-based intervention

et al. 2016

View full text Add to dashboard Cite

Background Spanish-speaking Latinas have some of the lowest rates of meeting physical activity guidelines in the U.S. and are at high risk for many related chronic diseases. The purpose of the current study was to examine the maintenance of a culturally and individually-tailored Internet-based physical activity intervention for Spanish-speaking Latinas. Methods Inactive Latinas (N = 205) were randomly assigned to a 6-month Tailored Physical Activity Internet Intervention or a Wellness Contact Control Internet Group, with a 6-month follow-up. Maintenance was measured by assessing group differences in minutes per week of self-reported and accelerometer measured moderate to vigorous physical activity (MVPA) at 12 months after baseline and changes in MVPA between the end of the active intervention (month 6) and the end of the study (month 12). Potential moderators of the intervention were also examined. Data were collected between 2011 and 2014, and were analyzed in 2015 at the University of California, San Diego. Results The Intervention Group engaged in significantly more minutes of MVPA per week than the Control Group at the end of the maintenance period for both self-reported (mean diff=30.68, SE=11.27, p=.007) and accelerometer measured (mean diff= 11.47, se=3.19, p=.01) MVPA. There were no significant between- or within-group changes in MVPA from month 6 to 12. Greater intervention effects were seen for those with lower BMI (BMI × intervention = −6.67, SE=2.88, p=.02) and lower perceived places to walk to in their neighborhood (access × intervention = −43.25, SE=19.07, p=.02), with a trend for less family support (social support × intervention=−3.49, SE=2.05, p=.08). Acculturation, health literacy, and physical activity related psychosocial variables were not significant moderators of the intervention effect during the maintenance period. Conclusions Findings from the current study support the efficacy of an Internet-delivered individually tailored intervention for maintenance of MVPA gains over time.

show abstract

“…diet, exercise, weight) has been demonstrated previously. 14,15 Many health-related online intervention trials have also been conducted to assess effectiveness of different interventions. [16][17][18] Various software programs are currently available to develop and to implement online interventions, and investigators use different approaches to deliver online interventions and maintain communication with their participants.…”

Section: Introductionmentioning

confidence: 99%

Dissemination of a theory-based online bone health program: Two intervention approaches

Nahm

Bellantoni²,

Zhu

et al. 2015

Health Informatics J

View full text Add to dashboard Cite

With the increasing nationwide emphasis on eHealth, there has been a rapid growth in the use of the Internet to deliver health promotion interventions. Although there has been a great deal of research in this field, little information is available regarding the methodologies to develop and implement effective online interventions. This article describes two social cognitive theory-based online health behavior interventions used in a large-scale dissemination study (N = 866), their implementation processes, and the lessons learned during the implementation processes. The two interventions were a short-term (8-week) intensive online Bone Power program and a longer term (12-month) Bone Power Plus program, including the Bone Power program followed by a 10-month online booster intervention (biweekly eHealth newsletters). This study used a small-group approach (32 intervention groups), and to effectively manage those groups, an eLearning management program was used as an upper layer of the Web intervention. Both interventions were implemented successfully with high retention rates (80.7% at 18 months). The theory-based approaches and the online infrastructure used in this study showed a promising potential as an effective platform for online behavior studies. Further replication studies with different samples and settings are needed to validate the utility of this intervention structure.

show abstract

Using the Web to Increase Physical Activity in College Students

Cited by 33 publications

References 18 publications

Internet-Based Physical Activity Interventions

Internet-Based Physical Activity Interventions

Physical activity maintenance among Spanish-speaking Latinas in a randomized controlled trial of an Internet-based intervention

Dissemination of a theory-based online bone health program: Two intervention approaches

Contact Info

Product

Resources

About