Tailored Versus Standard Internet-delivered Interventions to Promote Physical Activity in Older Women
Abstract
PURPOSE: While substantial evidence demonstrates physical activity is effective at reducing risk for cardiovascular and other diseases, the percentage of older women participating in regular activity is low. The Internet offers an alternative method for delivery of a primary prevention intervention. This preliminary study examined the feasibility and effectiveness of using the Internet to deliver behavior change interventions for promoting physical activity in women ages 50-69 years. METHODS: Thirty-one healthy women (56.1 +/- 4.9 years) were randomly assigned to either tailored or standard newsletter groups. Both groups received 3 Internet-delivered newsletters at baseline, 1 month, and 2 months. Behavioral markers and biomarkers were measured at baseline and postintervention. Post-testing occurred at 3 months (1 month after delivery of the third newsletter). RESULTS: Repeated measures ANOVAs revealed improvement in measures of flexibility and perceived barriers to exercise for both groups. For the standard group, improvement occurred in % body fat while VO2max declined. Women indicated the newsletters were helpful in influencing behavior change. CONCLUSION: Internet-delivered newsletters appeared feasible and promising for favorably influencing perceptions about barriers to physical activity in these women. Selfreported physical activity did not increase although selected biomarkers did improve. Whether tailored or standard messaging was more effective was inconclusive.
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Half of the studies employed measures of physical fitness other than physical activity.
“Furthermore, half of the studies employed measures of physical fitness other than physical activity.”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [43]
Six studies used multiple subjective measures of physical activity.
“One study used an objective measure to assess the amount of physical activity (activity monitor), and six studies used multiple subjective measures of physical activity.”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [43]
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- Authors
- Hageman, P. A., Walker, S. N., & Pullen, C. H.
- Affiliations
- Nebraska Medical Center (US)
- University of Nebraska Medical Center (US)
- Corresponding author
- Hageman, Patricia A.
- Venue
- Journal of Geriatric Physical Therapy
- Published
- 2005-04
- Volume
- 28
- Issue
- 1
- Pages
- 28-33
- ISSN
- 1539-8412 (ISSN-L)
- OpenAlex
- W2028023521
- Cited by
- 79
- References
- 31
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 2 · 2022: 1 · 2019: 2 · 2018: 2 · 2017: 5 · 2016: 5 · 2015: 2 · 2014: 3 · 2013: 7 · 2012: 10
- FWCI
- 3.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Geriatric Physical Therapy (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- online intervention, physical activity promotion, older women, message tailoring, behavior change, perceived barriers to exercise, flexibility, fat mass, VO2max, primary prevention, feasibility
- MeSH terms
- Aged, Body Composition, Female, Health Promotion, Humans, Middle Aged, Motor Activity, Internet
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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