Content Analysis of Type 1 Diabetes Nutrition Images on Instagram

2021 ◽  
Vol 121 (10) ◽  
pp. A137
Author(s):  
D. Kelleher ◽  
L. Weatherspoon
Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 844-P
Author(s):  
ASHBY F. WALKER ◽  
CATHRYN JOHNSON ◽  
CLAUDIA ANEZ-ZABALA ◽  
SARAH R. DORVIL ◽  
MICHAEL J. HALLER ◽  
...  

2019 ◽  
Vol 40 (2) ◽  
pp. 73-80
Author(s):  
Ylva Wessman ◽  
Christel Bahtsevani

Diabetic peripheral neuropathy is a diabetes-related complication with vague and progressive symptoms with few available treatments. The aim of this study was to describe the experiences of diabetic peripheral neuropathy among adults living with type 1 diabetes. Twelve interviews were performed and qualitative content analysis was used. The overarching theme ‘living with challenges in the shadow of diabetes’ substantiated by the categories ‘pay attention to changes over time’, ‘frequent needs to facilitate living’ and ‘burdens to manage’ represents a daily awareness of the complication where autodidactic strategies were implemented. The conclusion indicates that it might be beneficial if nurses in diabetes care initiate an open-minded dialogue with adults with diabetic peripheral neuropathy to highlight their experiences and to discuss further strategies to facilitate living.


2021 ◽  
Vol 8 ◽  
pp. 237437352110565
Author(s):  
Kağan Ege Karakuş ◽  
Sibel Sakarya ◽  
Gül Yeşiltepe Mutlu ◽  
Metehan Berkkan ◽  
Serra Muradoğlu ◽  
...  

Investigating the daily life experiences of patients using Continuous Glucose Monitoring (CGM) can highlight the benefits and barriers in using this system for people with type 1 diabetes (T1D). Semi-structured qualitative interviews were conducted with the caregivers of 10 children aged <9 years, all of whom had been treated for T1D and had used CGM >6 months. These interviews were analyzed using the content analysis approach and from these interviews, four meta themes emerged: metabolic control, barriers to CGM use, CGM use in daily life, and comparison with fingersticks. Families reported the following as benefits of CGM: pain relief, better hypoglycemia and hyperglycemia management, increased control over diet and social life, reduced worries at school and during the night, and convenience in entrusting the child to the care of others. Cost, concerns related to accuracy and reliability of measurements, insertion, adhesion and removal issues all emerged as barriers to CGM use. The most prominent issue was the economic burden of CGM. Families accept this burden, even though it is challenging, as their experiences in using CGM are positive and they feel that CGM is necessary for T1D management.


10.2196/18714 ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. e18714
Author(s):  
Nancy Wu ◽  
Anne-Sophie Brazeau ◽  
Meranda Nakhla ◽  
Deborah Chan ◽  
Deborah Da Costa ◽  
...  

Background Type 1 Diabetes Mellitus Virtual Patient Network (T1DM-VPN) is a private Facebook group for youths with type 1 diabetes mellitus (T1DM) in Canada intended to facilitate peer-to-peer support. It was built on the finding that stigma is prevalent among youth with T1DM and impedes self-management. Objective We aim to determine if T1DM-VPN provides support as intended and to ascertain what type of members provide support. Specifically, we will (1) identify text consistent with any one of 5 social support categories, (2) describe the network by visualizing its structure and reporting basic engagement statistics, and (3) determine whether being a designated peer leader is related to a member’s centrality (ie, importance in the network) and how frequently they offer social support. Methods We will manually extract interaction data from the Facebook group (posts, comments, likes/reactions, seen) generated from June 21, 2017 (addition of first member), to March 1, 2020. Two researchers will independently code posts and comments according to an existing framework of 5 social support categories—informational, emotional, esteem, network, and tangible—with an additional framework for nonsocial support categories. We will calculate how frequently each code is used. We will also report basic engagement statistics (eg, number of posts made per person-month) and generate a visualization of the network. We will identify stable time intervals in the history of T1DM-VPN by modeling monthly membership growth as a Poisson process. Within each interval, each member’s centrality will be calculated and standardized to that of the most central member. We will use a centrality formula that considers both breadth and depth of connections (centrality = 0.8 × total No. of connections + 0.2 × total No. of interactions). Finally, we will construct multivariate linear regression models to assess whether peer leader status predicts member centrality and the frequency of offering social support. Other variables considered for inclusion in the models are gender and age at diagnosis. Results T1DM-VPN was launched in June 2017. As of March 1, 2020, it has 196 patient-members. This research protocol received ethics approval from the McGill University Health Centre Research Ethics Board on May 20, 2020. Baseline information about each group member was collected upon addition into the group, and collection of interaction data is ongoing as of May 2020. Conclusions This content analysis and social network analysis study of a virtual patient network applies epidemiological methods to account for dynamic growth and activity. The results will allow for an understanding of the topics of importance to youth with T1DM and how a virtual patient network evolves over time. This work is intended to serve as a foundation for future action to help youth improve their experience of living with diabetes. International Registered Report Identifier (IRRID) PRR1-10.2196/18714


2018 ◽  
Vol 32 (7) ◽  
pp. 677-681 ◽  
Author(s):  
Queena F. Luu ◽  
Celine J. Villareal ◽  
Cynthia Fritschi ◽  
Rebecca S. Monson ◽  
Jose Oberholzer ◽  
...  

2020 ◽  
Author(s):  
Nancy Wu ◽  
Anne-Sophie Brazeau ◽  
Meranda Nakhla ◽  
Deborah Chan ◽  
Deborah Da Costa ◽  
...  

BACKGROUND Type 1 Diabetes Mellitus Virtual Patient Network (T1DM-VPN) is a private Facebook group for youths with type 1 diabetes mellitus (T1DM) in Canada intended to facilitate peer-to-peer support. It was built on the finding that stigma is prevalent among youth with T1DM and impedes self-management. OBJECTIVE We aim to determine if T1DM-VPN provides support as intended and to ascertain what type of members provide support. Specifically, we will (1) identify text consistent with any one of 5 social support categories, (2) describe the network by visualizing its structure and reporting basic engagement statistics, and (3) determine whether being a designated peer leader is related to a member’s centrality (ie, importance in the network) and how frequently they offer social support. METHODS We will manually extract interaction data from the Facebook group (posts, comments, likes/reactions, seen) generated from June 21, 2017 (addition of first member), to March 1, 2020. Two researchers will independently code posts and comments according to an existing framework of 5 social support categories—informational, emotional, esteem, network, and tangible—with an additional framework for nonsocial support categories. We will calculate how frequently each code is used. We will also report basic engagement statistics (eg, number of posts made per person-month) and generate a visualization of the network. We will identify stable time intervals in the history of T1DM-VPN by modeling monthly membership growth as a Poisson process. Within each interval, each member’s centrality will be calculated and standardized to that of the most central member. We will use a centrality formula that considers both breadth and depth of connections (centrality = 0.8 × total No. of connections + 0.2 × total No. of interactions). Finally, we will construct multivariate linear regression models to assess whether peer leader status predicts member centrality and the frequency of offering social support. Other variables considered for inclusion in the models are gender and age at diagnosis. RESULTS T1DM-VPN was launched in June 2017. As of March 1, 2020, it has 196 patient-members. This research protocol received ethics approval from the McGill University Health Centre Research Ethics Board on May 20, 2020. Baseline information about each group member was collected upon addition into the group, and collection of interaction data is ongoing as of May 2020. CONCLUSIONS This content analysis and social network analysis study of a virtual patient network applies epidemiological methods to account for dynamic growth and activity. The results will allow for an understanding of the topics of importance to youth with T1DM and how a virtual patient network evolves over time. This work is intended to serve as a foundation for future action to help youth improve their experience of living with diabetes. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/18714


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