William A. Anderson

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Clinical risk factor assessment can be used to enhance fracture risk estimation based upon bone densitometry alone. Population- and age-specific risk factor prevalence data are required for the construction of these risk models. Our objective was to derive population-based prevalence estimates of specific clinical risk factors for postmenopausal women(More)
As the U.S. population ages, interventions are needed to ensure quality of life continues as boomers enter assisted and independent living communities (AICs). These transitions can significantly affect quality of life. Activity and continuity theories maintain that participation in discretionary/informal activities is crucial for psychosocial health and(More)
Gender differences exist in both general and specific uses of information and communication technologies (ICTs). Most of this research has focused on computers and the internet to the exclusion of mobile phones. Little research has examined gender differences in specific types of mobile phone usage, especially among youth. This issue is examined using data(More)
© 2012 Borwankar et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A Technology Assessment Tool for Evaluation(More)
BACKGROUND Older adults are at increased risk of experiencing loneliness and depression, particularly as they move into different types of care communities. Information and communication technology (ICT) usage may help older adults to maintain contact with social ties. However, prior research is not consistent about whether ICT use increases or decreases(More)
Background Chronic pain is a common and disabling comorbidity in individuals living with HIV. Behavioral interventions are among the most effective and safe nonpharmacologic treatments for chronic pain. However, the success of a behavioral intervention is influenced by how well it is tailored to the target population's biological, psychological, and social(More)
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