Another goal of this blog is to give you a behind-the-scenes look at what the Association does on a daily basis to fulfill its mission: To prevent and cure diabetes and improve the lives of all people living with diabetes.  Our staff’s dedication – combined the stories that provide them with inspiration through the day – is a critical part of the Stop Diabetes movement.
Māori Health Services at Tauranga and Whakatāne hospitals delivers health initiatives under the philosophy of Tangata Whenua Realities, Ngā Pou Mana o Io. The health model of Mana Atua, Mana Tūpuna, Mana Whenua, Mana Tangata, operates alongside clinical and rehabilitation services, Mental Health & Addiction Services and Regional Community Services.
Conclusion A tailored, text message based, self management support programme resulted in modest improvements in glycaemic control in adults with poorly controlled diabetes. Although the clinical significance of these results is unclear, the findings support further investigation into the use of SMS4BG and other text message based support for this patient population.
In relation to perceptions and beliefs about diabetes, a significant reduction in illness identity (how much patients experience diabetes related symptoms) on the BIPQ was observed in favour of the intervention (adjusted mean difference −0.54 (95% confidence interval −1.04 to −0.03), P=0.04). However, we saw no significant group differences for perceptions of consequences, timeline, control, concern, emotions, and illness comprehensibility. A significant improvement in health status on the EQ-5D VAS was observed in favour of the intervention (4.38 (0.44 to 8.33), P=0.03) but no significant differences were observed between groups for the quality of life index score. Finally, the measure of perceived support for diabetes management showed a significant improvement between the groups in how supported the participants felt in relation to their diabetes management overall (0.26 (0.03 to 0.50), P=0.03) but no significant group differences on appraisal, emotional, and informational support.
Cost effectiveness as well as healthcare use was assessed during the study period compared with the nine months before randomisation (presented separately). We measured patient engagement and satisfaction with the intervention using semistructured interviews and data from the content management system. The secondary outcomes health related quality of life and perceived social support were not included in the initial trial registration but added before commencing the trial.
Pedicures may seem like a modern indulgence, but they actually date back more than 4,000 years to the ancient Babylonians. The word pedicure comes from the Latin “pes” for foot and “cura” for care. Originally practiced to prevent foot problems, today, more popular than ever, pedicures combine nail and skin care with a relaxing and self-pampering experience enjoyed not only by women but more and more by men, also.   (more…)
Statistical analyses were performed by SAS version 9.4 (SAS Institute). All statistical tests were two sided at a 5% significance level. Analyses were performed on the principle of intention to treat, including all randomised participants who provided at least one valid measure on the primary outcome after randomisation. Demographics and baseline characteristics of all participants were first summarised by treatment group with descriptive statistics. No formal statistical tests were conducted at baseline, because any baseline imbalance observed between two groups could have occurred by chance with randomisation.
Of mobile phone owners, those using diabetes apps were more likely to have T1DM (30/96) than T2DM (n=7/61); (P=.006). App users were younger with a mean age of 39.0 years (SD 11.1) compared to non-app users having a mean of 52.5 years (SD 15.6), (P<.001). There were no other significant differences in clinical variables between app and non-app users.
96.2% (181/188) of responders reported owning a mobile phone and 84.0% identified this device as a mobile phone (158/188), (Android 52.6% [80/152], iPhone 44.1% [67/152], Windows 3.3% [5/152]). Of the mobile phone owners 23.4% (37/158) reported using a diabetes app. Over half of app users (54%, 20/37) used the app daily, 22% (8/37) used it for a few days per week, and 14% (5/37) used the app less than weekly; 4 responders never used the app.

The annual incidence of type 1 diabetes in children <15 yr in the Auckland population in 1990–2009 was 16.4/100,000 (95% CI 15.3–17.5). Considering the underlying 36% population growth over the 1990–2009 period, there was still a progressive increase in the incidence of new cases (p<0.0001; Figure 1A). By Poisson regression the type 1 diabetes incidence in children <15 yr in 2009 was 22.5 per 100,000 (95% CI 17.5–28.4), in comparison to 10.9 per 100,000 in 1990 (95% CI 7.0–16.1) (Figure 1A). Overall incidence among males and females across the 20-year period was similar (p = 0.49). The increase in incidence was greatest among children 10–14 yr (average increase of +0.81/year; p<0.0001) and lowest among children 0–4 yr (+0.32/year; p = 0.02); incidences by 2009 were 27.0 (95% CI 18.1–38.8) for children 10–14 yr, 25.4 (95% CI 16.5–37.3; +0.66/year; p = 0.0002) for children 5–9 yr, and 14.9 per 100,000 (95% CI 8.4–24.5) for those aged 0–4 yr (Figure 1B).


The A1C is a common blood test that measures the amount of glucose that is attached to the hemoglobin in our red blood cells. It has a variety of other names, including glycated hemoglobin, glycosylated hemoglobin, hemoglobin A1C and HbA1 and is used in the diagnosis and monitoring of diabetes. Unlike the traditional blood glucose test, the A1C does not require fasting, and blood can be drawn at any time of day. It is hoped that this will result in more people getting tested and decreasing the number of people with undiagnosed diabetes, which is currently estimated to be more than 7 million adults in the U.S. (more…)
There are over 30 million people in the U.S. who have diabetes, even if nearly a quarter of them have not been diagnosed. 13 million individuals in the U.S. have been diagnosed with urinary incontinence, and it is believed that the percentage of undiagnosed incontinence is likely to be significant. Diabetes is a disease, while incontinence is a symptom related to lifestyle choices, physical issues or an underlying medical condition. Urinary incontinence is often linked to diabetes because diabetes is one of the more common medical conditions that contribute to incontinence. (more…)
The A1C is a common blood test that measures the amount of glucose that is attached to the hemoglobin in our red blood cells. It has a variety of other names, including glycated hemoglobin, glycosylated hemoglobin, hemoglobin A1C and HbA1 and is used in the diagnosis and monitoring of diabetes. Unlike the traditional blood glucose test, the A1C does not require fasting, and blood can be drawn at any time of day. It is hoped that this will result in more people getting tested and decreasing the number of people with undiagnosed diabetes, which is currently estimated to be more than 7 million adults in the U.S. (more…)
Participants could choose to receive blood glucose monitoring reminders to which they could reply by sending in their result by text message. They could then view their results graphically over time on a password protected website. If they were identified as not having access to the internet at baseline they were mailed their graphs once a month. All messages were delivered in English although the Māori version included keywords in Te Reo Māori and the Pacific version had keywords in either Samoan or Tongan dependent on ethnicity. Examples of SMS4BG messages can be seen in the box. Participants were able to select the timing of messages and reminders, and identify the names of their support people and motivations for incorporation into the messages. The duration of the programme was also tailored to individual preferences. At three and six months, participants received a message asking if they would like to continue the programme for an additional three months, and had the opportunity to reselect their modules receiving up to a maximum nine months of messages. Participants could stop their messages by texting the word “STOP” or put messages on hold by texting “HOLIDAY.”

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