A Personalized diet study: The interaction between ApoA2 −265T>C polymorphism and dietary inflammatory index on oxidative and inflammatory markers and lipid profile in patients with type 2 diabetes mellitus: A cross‐sectional study

2021 ◽  
Author(s):  
Elmira Karimi ◽  
Pourya Tondkar ◽  
Gity Sotoudeh ◽  
Mostafa Qorbani ◽  
Masoumeh Rafiee ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Inflammatory Markers ◽  
Cross Sectional Study ◽  
Dietary Inflammatory Index ◽  
Sectional Study ◽  
Cross Sectional ◽  
Inflammatory Index ◽  
Diet Study

scholarly journals Association between Dietary Inflammatory Index and Type 2 diabetes mellitus in Xinjiang Uyghur autonomous region, China

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11159
Author(s):  
WenHui Fu ◽  
Hualian Pei ◽  
Nitin Shivappa ◽  
James R. Hebert ◽  
Tao Luo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cross Sectional Study ◽  
Dietary Inflammatory Index ◽  
Cross Sectional ◽  
Inflammatory Index ◽  
Xinjiang Uyghur Autonomous Region

Background Diet and inflammation have both been studied in relation to type 2 diabetes mellitus (T2DM). The aim of this cross-sectional study was to examine the association between the Dietary Inflammatory Index (DII®) and T2DM. Methods Subjects were adults enrolled in the baseline study of the Xinjiang multi-ethnic natural population cohort and health follow-up study from January to May 2019. The study involved 5,105 subjects (58.7% men) between 35 and 74 years of age. The DII score was calculated from a data obtained via a food frequency questionnaire consisting of 127 food items. Results Logistic regression analyses were used to estimate the odds ratios (ORs) and 95% confidence intervals (95% CIs) of DII in relation to T2DM. After adjusting for potential confounders, compared to subjects in the 1st DII quintile, subjects in the 5th quintile (i.e., with the most pro-inflammatory diet) had higher odds of T2DM (OR = 3.27, 95%CI:2.38,4.50; p < 0.001). Conclusions Our results suggest that a pro-inflammatory diet is associated with a higher risk of T2DM in this population of Chinese adults.

Large-Scale Cross-Sectional Study of the Problem Areas in Diabetes Survey among Japanese Patients with Type 2 Diabetes Mellitus

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Large Scale ◽  
Japanese Patients ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetes Survey

Correlation Between Functional Health Literacy and Self-efficacy in People with Type 2 Diabetes Mellitus: Cross-sectional Study

2021 ◽  
pp. 105477382110068
Author(s):  
Luis Angel Cendejas Medina ◽  
Renan Alves Silva ◽  
Magda Milleyde de Sousa Lima ◽  
Lívia Moreira Barros ◽  
Rafael Oliveira Pitta Lopes ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Functional Health ◽  
Bivariate Analysis ◽  
Sectional Study ◽  
Cross Sectional

To analyze the correlation between functional health literacy (FHL) and self-efficacy (SE) in people with type 2 Diabetes Mellitus. Cross-sectional study was conducted among September and October 2019, with 196 people with type 2 diabetes. Data were collected using the Functional Literacy in Health instrument (B-TOFHLA) and the Diabetes Management Self-Efficacy Scale for Patients with Type 2 Diabetes Mellitus (DMSES). Bivariate analysis was used to verify the relationship among the constructs. Most diabetics showed an average B-TOFHLA score of 74.75, considered adequate, and self-efficacy of 4.07, high. The association between SE and FHL in the bivariate analysis found no statistical significance ( p > .05), in the same sense as the B-TOFHLA score and the DMSES domains ( p > .05). Constructs were not related to each other in terms of skills arising from judgments and decisions with motivational confidence by the investigated audience.

scholarly journals Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 7 ◽  
Author(s):  
Eduardo De la Cruz-Cano ◽  
Carlos Alfonso Tovilla-Zarate ◽  
Emilio Reyes-Ramos ◽  
Thelma Beatriz Gonzalez-Castro ◽  
Isela Juarez-Castro ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Diabetes Mellitus Type 2 ◽  
Cross Sectional Study ◽  
Diabetes Mellitus Type ◽  
Sectional Study ◽  
Cross Sectional ◽  
The World ◽  
Patients With Diabetes

Background: Diabetes mellitus and depression are highly prevalent conditions throughout the world and have significant impact on health outcomes. It has been estimated that diabetes mellitus type 2 affects about 246 million people in the world; nevertheless, incidence varies among countries. There is evidence that depression is associated with a poor metabolic control in patients with type 2 diabetes mellitus that present other health problems (such as hypertension and obesity). The aim of this study protocol is to determine if obesity increases the risk for depression in patient with diabetes type 2.Methods: The analysis will be reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).The studies suitable for inclusion will be assessed by the Newcastle-Ottawa Scale (NOS) to determine their methodological quality. To identify the studies of interest, we will search on PubMed and EBSCO databases. We will use the following keyword combinations: "Diabetes Mellitus type 2 AND obesity AND depression", "depression AND Diabetes Mellitus type 2", "Diabetes Mellitus type 2 AND body mass index cross sectional study", "depression AND obesity cross-sectional study". Causes for exclusion will be publications that studied patients diagnosed with diabetes mellitus type 1; articles that focused on the treatment and complications of diabetes mellitus type 2; publications that have studied other clinical or psychiatric conditions (for instance, seizure disorder or history of schizophrenia, bipolar disorder, psychotic symptoms or dementia).Conclusion: The results of this study will form the basis for a better understanding of the association between obesity and depression in patients with diabetes mellitus type 2, and will allow development of prediction tools and better interventions. It is evident that several modifiable and non-modifiable risk factors play an important role in the pathogenesis of diabetes among population. Currently, evidence for the deleterious effects of diabetes mellitus type 2 are based on cross-sectional or other observational designs. Therefore, this study will have important implications for future research and public health guidance.

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