Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis

2014 ◽  
Vol 8 (4) ◽  
pp. 275-285 ◽  
Author(s):  
Mohsen Saffari ◽  
Ghader Ghanizadeh ◽  
Harold G. Koenig
2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Xiaowen Zhang ◽  
Jie Sun ◽  
Wenqing Han ◽  
Yaqiu Jiang ◽  
Shiqiao Peng ◽  
...  

Objective. Type 2 deiodinase (Dio2) is an enzyme responsible for the conversion of T4 to T3. The Thr92Ala polymorphism has been shown related to an increased risk for developing type 2 diabetes mellitus (T2DM). The aim of this study is to assess the association between this polymorphism and glycemic control in T2DM patients as marked by the HbA1C levels.Design and Methods.The terms “rs225014,” “thr92ala,” “T92A,” or “dio2 a/g” were used to search for eligible studies in the PubMed, Embase, and Cochrane databases and Google Scholar. A systematic review and meta-analysis of studies including both polymorphism testing and glycated hemoglobin (HbA1C) assays were performed.Results. Four studies were selected, totaling 2190 subjects. The pooled mean difference of the studies was 0.48% (95% CI, 0.18–0.77%), indicating that type 2 diabetics homozygous for the Dio2 Thr92Ala polymorphism had higher HbA1C levels.Conclusions. Homozygosity for the Dio2 Thr92Ala polymorphism is associated with higher HbA1C levels in T2DM patients. To confirm this conclusion, more studies of larger populations are needed.


2019 ◽  
Vol 5 ◽  
pp. 205520761984527 ◽  
Author(s):  
Cigdem Sahin ◽  
Karen L Courtney ◽  
PJ Naylor ◽  
Ryan E Rhodes

Objectives This study aimed to identify, assess and summarize available scientific evidence on tailored text messaging interventions focused on type 2 diabetes self-management. The systematic review concentrated on message design and delivery features, and tailoring strategies. The meta-analysis assessed the moderators of the effectiveness of tailored text messaging interventions. Methods A comprehensive search strategy included major electronic databases, key journal searches and reference list searching for related studies. PRISMA and Cochrane Collaboration's guidelines and recommended tools for data extraction, quality appraisal and data analysis were followed. Data were extracted on participant characteristics (age, gender, ethnicity), and interventional and methodological characteristics (study design, study setting, study length, choice of modality, comparison group, message type, format, content, use of interactivity, message frequency, message timing, message delivery, tailoring strategies and theory use). Outcome measures included diet, physical activity, medication adherence and glycated hemoglobin data (HbA1C). Where possible, a random effects meta-analysis was performed to pool data on the effectiveness of the tailored text messaging interventions and moderator variables. Results The search returned 13 eligible trials for the systematic review and 11 eligible trials for the meta-analysis. The majority of the studies were randomized controlled trials, conducted in high-income settings, used multi-modalities, and mostly delivered informative, educational messages through an automated message delivery system. Tailored text messaging interventions produced a substantial effect ( g = 0.54, 95% CI = 0.08–0.99, p < 0.001) on HbA1C values for a total of 949 patients. Subgroup analyses revealed the importance of some moderators such as message delivery ( QB = 18.72, df = 1, p = 0.001), message direction ( QB = 5.26, df = 1, p = 0.022), message frequency ( QB = 18.72, df = 1, p = 0.000) and using multi-modalities ( QB = 6.18, df = 1, p = 0.013). Conclusions Tailored mobile text messaging interventions can improve glycemic control in type 2 diabetes patients. However, more rigorous interventions with larger samples and longer follow-ups are required to confirm these findings and explore the effects of tailored text messaging on other self-management outcomes.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Rodrigo Sudatti Delevatti ◽  
Cláudia Gomes Bracht ◽  
Salime Donida Chedid Lisboa ◽  
Rochelle Rocha Costa ◽  
Elisa Corrêa Marson ◽  
...  

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