scholarly journals Self-Management as a Mediator of Family Functioning and Depressive Symptoms With Health Outcomes in Youth With Type 1 Diabetes

2013 ◽  
Vol 36 (9) ◽  
pp. 1254-1271 ◽  
Author(s):  
Robin Whittemore ◽  
Lauren Liberti ◽  
Sangchoon Jeon ◽  
Ariana Chao ◽  
Sarah S. Jaser ◽  
...  
2021 ◽  
pp. 019394592110322
Author(s):  
Kathleen M. Hanna ◽  
Jed R. Hansen ◽  
Kim A. Harp ◽  
Kelly J. Betts ◽  
Diane Brage Hudson ◽  
...  

Although theoretical and empirical writings on habits and routines are a promising body of science to guide interventions, little is known about such interventions among emerging adults with type 1 diabetes. Thus, an integrative review was conducted to describe interventions in relation to habits and routines, their influence on outcomes, and users’ perspectives. A medical librarian conducted a search. Teams screened titles, abstracts, and articles based upon predefined criteria. Evidence from the final 11 articles was synthesized. A minority of investigators explicitly articulated habits and routines theoretical underpinnings as part of the interventions. However, text messaging or feedback via technology used in other interventions could be implicitly linked to habits and routines. For the most part, these interventions positively influenced diabetes self-management-related behaviors and health outcomes. In general, the interventions were perceived positively by users. Future research is advocated using habit and routine theoretical underpinnings to guide interventions.


2019 ◽  
Vol 28 (23-24) ◽  
pp. 4478-4487
Author(s):  
Dan Luo ◽  
Jing-Jing Xu ◽  
Xue Cai ◽  
Min Zhu ◽  
Hong Wang ◽  
...  

2012 ◽  
Vol 08 (02) ◽  
pp. 77 ◽  
Author(s):  
Jessica C Kichler ◽  
Ashley Moss ◽  
Astrida S Kaugars ◽  
◽  
◽  
...  

The Pediatric Self-Management Model provides an overview of how behavioral factors influence children’s chronic medical illnesses. This general framework is used to organize the present review of how self-management behaviors, contextual factors, and processes impact health outcomes for adolescent youth with type 1 diabetes. Adherence has been widely studied in the diabetes literature, and there are consistent findings demonstrating associations between aspects of self-management, adherence, and metabolic control, yet there are still equivocal approaches to adherence assessment methodology (e.g. global versus specific measures). Metabolic control is a hallmark health outcome for youth with type 1 diabetes, but additional outcomes need to be further explored. Future research should utilize the Pediatric Self-Management Model’s operational definitions to guide empirically-supported interventions for youth with type 1 diabetes.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 825-P
Author(s):  
GENO RASMUSSEN CRISTY R ◽  
KIMBERLY A. DRISCOLL ◽  
RACHEL M. SIPPL ◽  
AMY C. ALMAN ◽  
AMENA KESHAWARZ ◽  
...  

2014 ◽  
Vol 24 (9-10) ◽  
pp. 1258-1268 ◽  
Author(s):  
Jia Guo ◽  
Robin Whittemore ◽  
Sangchoon Jeon ◽  
Margaret Grey ◽  
Zhi-Guang Zhou ◽  
...  

2014 ◽  
Vol 17 (2) ◽  
pp. 120-126 ◽  
Author(s):  
Kaitlyn Rechenberg ◽  
Robin Whittemore ◽  
Margaret Grey ◽  
Sarah Jaser ◽  

2019 ◽  
Vol 57 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Liliana Indelicato ◽  
Vincenzo Calvo ◽  
Marco Dauriz ◽  
Arianna Negri ◽  
Carlo Negri ◽  
...  

2021 ◽  
Vol 10 (2) ◽  
pp. 162-185
Author(s):  
Samuel Thulin

This paper presents the project Hemo-resonance #1, the first in a series of art works that aim to open alternative pathways for thinking about and practicing diabetes. I begin by discussing the centrality of data collection via self-tracking for the management of Type 1 diabetes, and the ways this data collection orients understandings of diabetes and the diabetic body. Diabetic self-management is typically aimed at finding patterns in one’s data, establishing cause and effect relationships, and understanding trends in the body’s operation so that the diabetic can modulate behaviour to optimize health outcomes. Arguing that approaching data in different ways can provide insights into diabetic experience and relationships that extend beyond the goal-oriented approach of always doing better, I offer “data resonance” as a way of following other trajectories of data and bodies. Data resonance provides sensory-rich materialisations of data in ways that seek to detach themselves from the typical focus on the legibility or interpretability of the data. This suspension of habitual orientations to data makes space for thinking of bodies, data, and the relationships between the two in new ways, and offering meditations on the value of co-corporeality, human-non-human relationships, and bodily difference. 


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