Delores Pluto
University of South Carolina
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Featured researches published by Delores Pluto.
Sports Medicine | 2002
Catrine Tudor-Locke; Joel E. Williams; Jared P. Reis; Delores Pluto
AbstractValid assessment of physical activity is important to researchers and practitioners interested in surveillance, screening, programme evaluation and intervention. The validity of an assessment instrument is commonly considered its most important attribute. Convergent validity is the extent to which an instrument’s output is associated with that of other instruments intended to measure the same exposure of interest. A systematic review of the literature produced 25 articles directly relevant to the question of convergent validity of pedometers against accelerometers, observation, and self-reported measures of physical activity. Reported correlations were pooled and a median r-value was computed. Pedometers correlate strongly (median r = 0.86) with different accelerometers (specifically uniaxial accelerometers) depending on the specific instruments used, monitoring frame and conditions implemented, and the manner in which the outputs are expressed. Pedometers also correlate strongly (median r = 0.82) with time in observed activity. Time in observed inactivity correlated negatively with pedometer outputs (median r = -0.44). The relationship with observed steps taken depended upon monitoring conditions and speed of walking. The highest agreement was apparent during ambulatory activity (running, walking) or during sitting (when both observation and pedometers would register few steps taken). There was consistent evidence of reduced accuracy during slow walking. Pedometers correlate moderately with different measures of energy expenditure (median r = 0.68). The relationship between pedometer outputs and energy expenditure is complicated by the use of many different direct and indirect measures of energy expenditure and population samples. Concordance with self-reported physical activity (median r = 0.33) varied depending upon the self-report instrument used, individuals assessed, and how pedometer outputs are expressed (e.g. steps, distance travelled, energy expenditure). Pedometer output has an inverse relationship with reported time spent sitting (r = -0.38). The accumulated evidence herein provides ample support that the simple and inexpensive pedometer is a valid option for assessing physical activity in research and practice.
American Journal of Health Promotion | 2010
Stephanie S. Frost; R. Turner Goins; Rebecca H. Hunter; Steven P. Hooker; Lucinda L. Bryant; Judy Kruger; Delores Pluto
Objective. To conduct a systematic review of the literature to examine the influence of the built environment (BE) on the physical activity (PA) of adults in rural settings. Data Source. Key word searches of Academic Search Premier, PubMed, CINAHL, Web of Science, and Sport Discus were conducted. Study Inclusion and Exclusion Criteria. Studies published prior to June 2008 were included if they assessed one or more elements of the BE, examined relationships between the BE and PA, and focused on rural locales. Studies only reporting descriptive statistics or assessing the reliability of measures were excluded. Data Extraction. Objective(s), sample size, sampling technique, geographic location, and definition of rural were extracted from each study. Methods of assessment and outcomes were extracted from the quantitative literature, and overarching themes were identified from the qualitative literature. Data Synthesis. Key characteristics and findings from the data are summarized in Tables 1 through 3. Results. Twenty studies met inclusion and exclusion criteria. Positive associations were found among pleasant aesthetics, trails, safety/crime, parks, and walkable destinations. Conclusions. Research in this area is limited. Associations among elements of the BE and PA among adults appear to differ between rural and urban areas. Considerations for future studies include identifying parameters used to define rural, longitudinal research, and more diverse geographic sampling. Development and refinement of BE assessment tools specific to rural locations are also warranted.
Journal of Health Politics Policy and Law | 2008
Amy A. Eyler; Ross C. Brownson; Kelly R. Evenson; David Levinger; Jay E. Maddock; Delores Pluto; Philip J. Troped; Thomas L. Schmid; Cheryl Carnoske; Katherine L. Richards; Lesley Steinman
This study explores processes and policies that facilitate the development of community trails. With funding from Active Living Research and the research framework of the Physical Activity Policy Research Network (PAPRN), we conducted a multiple-site case study. A total of six trails in Hawaii, Massachusetts, Missouri, North Carolina, South Carolina, and Washington were chosen for study. The goals of this case study were to identify the policy influences on trail development, explore the roles of key players in trail development, and compare and contrast findings from the different trails. Trail development can be a long process. Some of the trails took over a decade to complete because of funding, opposition, and roadblocks in the form of design standard policies. Work in trail development requires a team of many players, and it is necessary to balance their varied motives to accomplish a shared overall goal. Foresight through the master planning process is also a vital component of successful trail development. Finally, community involvement is key. Communities contemplating trail development should explore the effects of policy on the trail projects reported here to proactively identify potential influence.
Home Health Care Services Quarterly | 2003
Delores Pluto; Barbara A. Hirshorn
ABSTRACT Process mapping is a qualitative tool that allows service providers, policy makers, researchers, and other concerned stakeholders to get a “birds eye view” of a home health care organizational network or a very focused, in-depth view of a component of such a network. It can be used to share knowledge about community resources directed at the older population, identify gaps in resource availability and access, and promote on-going collaborative interactions that encourage systemic policy reassessment and programmatic refinement. This article is a methodological description of process mapping, which explores its utility as a practice and research tool, illustrates its use in describing service-providing networks, and discusses some of the issues that are key to successfully using this methodology.
Journal of Physical Activity and Health | 2008
Ross C. Brownson; Cheryl Kelly; Amy A. Eyler; Cheryl Carnoske; Lisa Grost; Susan Handy; Jay E. Maddock; Delores Pluto; Brian A. Ritacco; James F. Sallis; Thomas L. Schmid
Health Education Research | 2007
Amy A. Eyler; Ross C. Brownson; Mark P. Doescher; Kelly R. Evenson; Carrie Fesperman; Jill S. Litt; Delores Pluto; Lesley Steinman; Jennifer Terpstra; Philip J. Troped; Thomas L. Schmid
Women & Health | 2002
Donna L. Richter; Richard L. Sowell; Delores Pluto
Preventing Chronic Disease | 2006
Jason E. Lang; Lynda A. Anderson; James P. LoGerfo; Joseph Sharkey; Elaine S. Belansky; Lucinda L. Bryant; Thomas R. Prohaska; Mary Altpeter; Victor W. Marshall; William A. Satariano; Susan Ivey; Constance Bayles; Delores Pluto; Sara Wilcox; R. Turner Goins; Robert C. Byrd
Preventing Chronic Disease | 2005
Adele L. Franks; Ross C. Brownson; Carol A. Bryant; Kelli McCormack Brown; Steven P. Hooker; Delores Pluto; Dennis Shepard; Russell R. Pate; Elizabeth A. Baker; Kathleen N. Gillespie; Terry Leet; Margret A. O'Neall; Eduardo J. Simoes
American Journal of Health Behavior | 2002
Donna L. Richter; Richard L. Sowell; Delores Pluto