scholarly journals A Predictive Model of Health Outcomes for Young People with Type 2 Diabetes

2015 ◽  
Vol 9 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Sun Young Jung ◽  
Sook Ja Lee ◽  
Sun Hee Kim ◽  
Kyung Mi Jung
2020 ◽  
Author(s):  
Charlotte Summers

BACKGROUND People from Black, Asian and Minority Ethnic (BAME) groups are known to have an increased risk of developing type 2 diabetes and face greater barriers to accessing healthcare resources compared to their “white British” counterparts. The main mediators of lifestyle behavioural change are gender, generation, geography, genes, God/religion, and gaps in knowledge and economic resources. Dietary and cultural practices of these individuals significantly vary according to gender, generation, geographical origin and religion. Recognition of these factors and implementing culturally sensitive interventions for type 2 diabetes prevention and management is essential in increasing knowledge of healthy eating, engagement in physical activity and improving health outcomes in BAME communities. Few health apps are tailored for BAME populations, and BAME communities are considered hard-to-reach. OBJECTIVE Our objective was to establish whether the Low Carb Program is a viable scalable solution that can be used as an effective tailored type 2 diabetes intervention for BAME communities. We hypothesized that by taking into account cultural sensitivities, providing the platform in native languages and personalising the platform in accordance with known barriers to health disparities including gender, generation, dietary preferences and religion, the app would engage BAME communities and improve type 2 diabetes related health outcomes. METHODS The study used a quasi-experimental research design comprised of an open-label, single-arm, pre-post intervention using a sample of convenience. All 705 adults with type 2 diabetes who had activated their referral to the Low Carb Program as a result of an NHS consultation between September 2018 and March 2019 were followed for a period of 12 months; mean age 54.61 (SD 16.69) years; 58.2% (410/705) women; 45.1% (318/705) white, 28.5% (201/705) Indian/Pakistani/Bangladeshi/Other Central Asian, 10.8% (76/705) Arab, 6.2% (44/705) Mixed/Multiple ethnic groups, 6% (43/705) black, 1.8% (13/705) other, (7/705) 1% Chinese/Japanese/Other East Asian. Mean starting glycated haemoglobin A1c (HbA1c) 7.99% (SD 2.05%); mean body weight 88.96kg (SD 23.25kg). RESULTS Of the 705 study participants, 513 (72.76%) had completed the Low Carb Program at 12 months. There were statistically significant reductions in body weight and HbA1c in white, Indian/Pakistani/Bangladeshi/Other Central Asian, Arabic and black participants with the most significant differences in the Indian/Pakistani/Bangladeshi/Other Central Asian population HbA1c -1.18% (SD 1.49%) and weight 8.03kg (SD 10.65kg). 82.9% of all participants (419/705) of all participants lost at least 5% of their body weight. CONCLUSIONS Offering the culturally tailored Low Carb Program that empowers members to make dietary and lifestyle changes to different BAME groups is an effective and engaging tool in the management of type 2 diabetes. Most importantly, BAME populations in particular people from Indian/Pakistani/Bangladeshi and Arabic groups who achieve better health outcomes than their white counterparts.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Guerrero Fernández de Alba ◽  
A Gimeno-Miguel ◽  
B Poblador Plou ◽  
K Bliek Bueno ◽  
J Carmona Pirez ◽  
...  

Abstract Background Type 2 diabetes mellitus (T2D) is often accompanied by other chronic diseases, including mental diseases (MD). This work aimed at studying MD prevalence in T2D patients and analyse its impact on T2D health outcomes. Methods Retrospective, observational study of individuals of the EpiChron Cohort aged 18 and over with prevalent T2D at baseline (2011) in Aragón, Spain (n = 63,365). Participants were categorized by the existence or absence of MD, defined as the presence of depression, anxiety, schizophrenia or substance abuse. MD prevalence was calculated, and a logistic regression model was performed to analyse the likelihood of the four studied health outcomes (4-year all-cause mortality, all-cause hospitalization, T2D-hospitalization, and emergency room visits) based on the presence of each type of MD, after adjusting by age, sex and number of comorbidities. Results Mental diseases were observed in 19% of T2D patients, with depression being the most frequent condition, especially in women (20.7% vs. 7.57%). Mortality risk was significantly higher in patients with MD (odds ratio -OR- 1.24; 95% confidence interval -CI- 1.16-1.31), especially in those with substance abuse (OR 2.18; 95% CI 1.84-2.57) and schizophrenia (OR 1.82; 95% CI 1.50-2.21). The presence of MD also increased the risk of T2D-hospitalization (OR 1.51; 95% CI 1.18-1.93), emergency room visits (OR 1.26; 95% CI 1.21-1.32) and all-cause hospitalization (OR 1.16; 95% CI 1.10-1.23). Conclusions The high prevalence of MD among T2D patients, and its association with health outcomes, underscores the importance of providing integrated, person-centred care and early detection of comorbid mental diseases in T2D patients to improve disease management and health outcomes. Key messages Comprehensive care of T2D should include specific strategies for prevention, early detection, and management of comorbidities, especially mental disorders, in order to reduce their impact on health. Substance abuse was the mental disease with the highest risk of T2D-hospitalization, emergency room visits and all-cause hospitalization.


2016 ◽  
Vol 7 (3) ◽  
pp. 473-481 ◽  
Author(s):  
Brian Lee ◽  
Dace Trence ◽  
Silvio Inzucchi ◽  
Jay Lin ◽  
Steven Haimowitz ◽  
...  

The Lancet ◽  
2018 ◽  
Vol 392 (10162) ◽  
pp. 2325 ◽  
Author(s):  
The Lancet
Keyword(s):  

2016 ◽  
Vol 33 (10) ◽  
pp. 1452-1455
Author(s):  
N. S. The ◽  
C. M. Shay ◽  
A. P. Lamichhane ◽  
T. L. Crume ◽  
J. L. Crandell ◽  
...  

Author(s):  
Marline Yvonne Dinghat Ornella ◽  
Nassim Essabah Haraj ◽  
Siham El Aziz ◽  
Asmaa Chadli

Sign in / Sign up

Export Citation Format

Share Document