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published since 2001 that tested all the TTM constructs Prapavessis, Maddison, and Brading (2004) found that all TTM constructs predicted stage transition 6 months after initial assessment in a large (1,434 at 6 months) sample of New Zealand adolescents Plotnikoff, Hotz, Birkett, and Courneya (2001) tested the predictive ability of the TTM in 683 adults 6 and 12 months after an initial assessment and found strongest support for the self-efficacy construct and weakest for experiential processes of change Results were mixed in that only 45% of their predictions based on the model were supported Several interventions have been based on the TTM Adams and White (2003) found 16 programs described in 26 papers published from 1982 to 2001 that described TTM-based interventions to promote physical activity Eleven programs demonstrated increases in physical activity in the short term, that is, less than 6 months.

However, only 2 of the 7 longer interventions reported sustained activity for more than 6 months Five studies reported stage progression without a concurrent measure of physical activity We cannot assume that stage progression is a good proxy of changes in physical activity, although several studies used stage change only as the outcome variable General Conclusions A number of early reviews of the exercise adherence literature acknowledged the appearance of stages of exercise behavior (eg, Dishman, 1982; Martin & Dubbert, 1985) The TTM, which was initially developed for smoking (Prochaska & DiClemente, 1982), was applied to exercise in the early 1990s (eg, Marcus, Selby, Niaura, & Rossi, 1992) A potential major contribution of the TTM for increasing exercise and physical activity lies in its consideration of the readiness for change.

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Dr. Sherman uses his training and skills as a clinical psychologist working in a university medical center with patients with cancer and other medical conditions. Birth Date: August 4, 1960 College: Brown University, (AB, Psychology), 1983 Graduate Program: University of Kansas, (PhD, Clinical Psychology), 1988 Clinical Internship: Harvard Medical School, The Cambridge Hospital Postdoctoral Fellowship: Harvard Medical School, The Cambridge Hospital Current Job: Director, Behavioral Medicine Program, Arkansas Cancer Research Center, and Associate Professor, Department of Otolaryngology

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As well, relapse cannot be understood or controlled without knowledge of the influence of past history on contemporary exercise and physical activity The status of the TTM as a true stage model has been called into question, and the lack of an interaction between stage and processes reported by Marshall and Biddle (2001) does not support stage-matched interventions A few intervention studies have tested the stage assumption that people in different stages must face different barriers; these studies compared stage-matched to stage-mismatched interventions, with no or mixed support (Blissmer & McAuley, 2002; Bull, Jamrozik, & Blanksby, 1999; Marcus et al, 1998) Results may also be conflicting because this model was developed to explain the cessation of a frequent, undesired, addictive behavior.

APPROACHES TO CULTURE IN MAINSTREAM SOCIAL PSYCHOLOGY AND IN EARLY CROSS-CULTURAL PSYCHOLOGY 31 Downplaying of Culture in Mainstream Social Psychology 32 Early Research in Cross-Cultural Psychology 35 INSIGHTS AND CHALLENGES OF CULTURAL PSYCHOLOGY 41

network-directed roaming under which the network balances load by providing explicit feedback to users about where to roam to get the services they require [19]. This technique can achieve global load balancing over the entire WLAN, while the rst two try to distribute load among neighboring APs. All the above load-balancing schemes are designed for a single WLAN. They cannot be directly applied to multidomain WLANs because they cannot provide systemwide fair resource allocation among multiple networks. Colocated WLANs often use the same limited number of orthogonal channels (e.g., three orthogonal channels are available in IEEE 802.11b/g networks). Hence, the effect of interdomain cochannel interference becomes severe as the number of colocated WLANs increases. The load of a cell in one domain determines the level of its interference on other cochannel cells both inside and outside the domain. Therefore, achieving systemwide fair resource allocation should not be restricted to only independent load balancing per domain without global cooperation. It should incorporate the load and interference interactions between different domains. In [2], an interdomain radio resource management scheme for WLANs is proposed. This work provides an exciting insight into the optimization of resource sharing among multiple domains. However, the interactive effects of cochannel interference among multiple domains are not considered in the optimization process. To the best of our knowledge, very little research work addresses cooperative resource management over multiple WLANs. Moreover, very little work on resource management for either single or multiple WLANs has considered the interference from possible colocated WPANs in the operational environment. As stated previously, WPAN interference sources require the WLAN to consume additional network resources in order to maintain performance requirements. Therefore, it is imperative that the dynamic effects of colocated WPAN interference be incorporated into network management.

VBA lets you append a character to a variable s name to indicate the data type. For example, you can declare the MyVar variable as an integer by tacking % onto the name, as follows:

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