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Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.

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Title: Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.
Authors: Sevick MA (AUTHOR), Stone RA (AUTHOR), Zickmund S (AUTHOR), Wang Y (AUTHOR), Korytkowski M (AUTHOR), Burke LE (AUTHOR)
Source: Journal of Behavioral Medicine. Aug2010, Vol. 33 Issue 4, p315-325. 11p.
Subjects: Patient self-monitoring, Patient compliance, Type 2 diabetes, Endocrine diseases, People with diabetes, Pocket computers, Human behavior research
Abstract: Knowledge of factors associated with the use of technology could inform the design of technology-based behavioral interventions. This study examined modifiable and nonmodifiable factors associated with technology-based self-monitoring. 123 participants with type 2 diabetes self-monitored diet using a personal digital assistant in a 6-month behavioral intervention. Multinomial logistic regression was used to examine probability of nonadherent and suboptimally adherent behavior relative to adherent behavior. Sociodemographic characteristics were not associated with probability of self-monitoring. Probability of adherence generally was greater in the weeks preceding no group session, and lower in the weeks following no group session or following skipped sessions. Non-modifiable factors suggested by the literature to be associated with poorer access to technology (lower income, older age, minority race, and lower education) were not associated with probability of self-monitoring in this population. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.
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  Data: <searchLink fieldCode="AR" term="%22Sevick+MA%22">Sevick MA</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stone+RA%22">Stone RA</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zickmund+S%22">Zickmund S</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang+Y%22">Wang Y</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Korytkowski+M%22">Korytkowski M</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burke+LE%22">Burke LE</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Behavioral+Medicine%22">Journal of Behavioral Medicine</searchLink>. Aug2010, Vol. 33 Issue 4, p315-325. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Patient+self-monitoring%22">Patient self-monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+compliance%22">Patient compliance</searchLink><br /><searchLink fieldCode="DE" term="%22Type+2+diabetes%22">Type 2 diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Endocrine+diseases%22">Endocrine diseases</searchLink><br /><searchLink fieldCode="DE" term="%22People+with+diabetes%22">People with diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Pocket+computers%22">Pocket computers</searchLink><br /><searchLink fieldCode="DE" term="%22Human+behavior+research%22">Human behavior research</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Knowledge of factors associated with the use of technology could inform the design of technology-based behavioral interventions. This study examined modifiable and nonmodifiable factors associated with technology-based self-monitoring. 123 participants with type 2 diabetes self-monitored diet using a personal digital assistant in a 6-month behavioral intervention. Multinomial logistic regression was used to examine probability of nonadherent and suboptimally adherent behavior relative to adherent behavior. Sociodemographic characteristics were not associated with probability of self-monitoring. Probability of adherence generally was greater in the weeks preceding no group session, and lower in the weeks following no group session or following skipped sessions. Non-modifiable factors suggested by the literature to be associated with poorer access to technology (lower income, older age, minority race, and lower education) were not associated with probability of self-monitoring in this population. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10865-010-9257-9
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        Text: English
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        Type: general
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      – SubjectFull: Type 2 diabetes
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