scholarly journals New challenges in dietary pattern analysis: combined dietary patterns and calorie adjusted factor analysis in type 2 diabetic patients

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Zhaleh Shadman ◽  
Mahdieh Akhoundan ◽  
Nooshin Poorsoltan ◽  
Bagher Larijani ◽  
Mostafa Qorbani ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Pattern Analysis ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Dietary Pattern Analysis ◽  
New Challenges ◽  
Type 2 Diabetic

Impact of Dietary Pattern on Glycemic Level Among Type 2 Diabetic Patients

2018 ◽  
Vol 6 (1) ◽  
pp. 120-126
Author(s):  
Farah Habib ◽  
Anisa. M. Durrani
Keyword(s):  
Dietary Pattern ◽  
Glycosylated Hemoglobin ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Eating Pattern ◽  
Dietary Compliance ◽  
Dietary Regimen ◽  
Glycemic Level ◽  
Type 2 Diabetic

Diabetes is a lifelong progressive disease. Compliance to a healthy eating pattern is the corner-stone to maintain or reduce body weight and achieve good glycemic control (HbA1c 7%) which can delay and prevent diabetes related complications. The purpose of the present study is to find the relation between dietary pattern and glycemic level among type 2 diabetic patients. The information was gathered through 9 items dietary compliance questionnaire and 24-hour dietary recall method, and the glycemic level was measured by glycosylated hemoglobin (HbA1c). Type 2 diabetic patients aged 30-60 years, with no comorbidity and minimum of six months duration of diabetes from Jawaharlal Nehru Medical College were selected. The hierarchical regression analysis showed that dietary compliance 12.6% significantly predicted HbA1c (Δ R2= .126, F Change= 28.48, β= -.400, p .001). Only 43.5% of patients always followed the dietary regimen and 48.5% of patients usually followed it with HbA1c level of 7% to 7.3% respectively. It was concluded from the results that compliance to a dietary regimen was inversely related to the glycemic level of the patients.

Dietary patterns influence blood sugar and lipid control among type 2 diabetic patients in Taiwan – A pilot study

2016 ◽  
Vol 120 ◽  
pp. S120-S121
Author(s):  
Min-Su Tzeng ◽  
Yi-Cih Hong ◽  
Ching-Chu Chen ◽  
Chwen-Tzuei Chang ◽  
Mei-Due Yang ◽  
...  
Keyword(s):  
Pilot Study ◽  
Blood Sugar ◽  
Dietary Patterns ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Lipid Control ◽  
Type 2 Diabetic

scholarly journals Risk Factors of Hypertension among Type 2 Diabetic Patients in Imo state, South East of Nigeria

2020 ◽  
pp. 65-72
Author(s):  
Ugonma, Winnie Dozie ◽  
Nnenna, Vivian Okonkwo ◽  
Okwuchi, Blessed Nworuh ◽  
Somtochukwu, Mercy Orji ◽  
Chidozie Joakin Nwaokoro ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Family History ◽  
Dietary Pattern ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
History Of ◽  
Family History Of Hypertension ◽  
Type 2 Diabetic

Background: Hypertension is among the important causes of non-communicable disease burden worldwide. It has raised public health concerns in both developed and developing nations. It mostly occurs in patients with diabetes and the prevalence depends on duration, type and age of the patient. The study aimed at determining the risk factors of hypertension among type 2 diabetic patients in Imo State, Nigeria. Methods: A hospital-based descriptive survey design involving 50 patients attending hospital was used. Structured questionnaire complemented with interview schedule was used to collect data from the respondents. Data were analyzed using frequency and mean score. Hypotheses were tested using Chi-square at 5% significance level. Results: The result showed that the majority (70.0%) of the patients was hypertensive, 54.0% of the patients used dietary control and drugs in the treatment of the diseases. Furthermore, it was found that 54.0% ate salty foods always, 58.0% of the patients added extra table salt in their meals, 54.0% ate canned foods and 82.0% took sugary drinks always. It was also found that 66.0% ate always from restaurants and 58.0% ate more of starchy foods. The result further showed that 74.0% of the patients avoided physical exercise and 70.0% indicated that doing stress works made them get anxious. Eighty percent of the patients had hypertension in their family history and the 74.0% indicated it was their brother/sister. The X2 result showed a significantly association between family history of hypertension and type 2 diabetes X2(121, N = 50) = 187, p = 0.000. It was also found that dietary pattern was significantly associated with risk of type 2 diabetes X2(121, N = 50) = 187, p = 0.000. Conclusion: Dietary pattern and family history of hypertension were significantly associated with type 2 diabetes. It was recommended that sensitization campaigns be organized to educate women on the effect of diets on diabetes. Also, family history of hypertension should be ascertained from patients to ensure early detection and treatment of diabetes.

scholarly journals Study of dietary pattern, and lifestyles among Type-2 diabetic patients

2021 ◽  
Vol 3 (4) ◽  
pp. 135-140
Author(s):  
Tripti Anand ◽  
Bismay Das ◽  
Tabasssum Ali ◽  
Kalpana Gupta ◽  
C Mohanty
Keyword(s):  
Dietary Pattern ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

scholarly journals Application of Deep Neural Network Model Combined with Factor Analysis in Clinical Nursing Effect Analysis of Blood Glucose Level in Elderly Type 2 Diabetic Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yi Ding ◽  
DanDan Zhang
Keyword(s):  
Neural Network ◽  
Factor Analysis ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Deep Neural Network ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Clinical Nursing ◽  
Type 2 Diabetic

In order to explore the clinical nursing effect of blood glucose level in elderly type 2 diabetic patients, this paper combines the deep neural network model and factor analysis from the perspective of multifactor analysis to construct a multifactor analysis model for the clinical nursing effect of blood glucose levels in elderly type 2 diabetic patients. Moreover, this paper analyzes the effects through experimental methods, collects cases through hospitals, and formulates research methods and related standards based on nursing research needs. In addition, this paper uses statistical methods to perform data processing, uses factor analysis to screen critical factors, and uses deep neural networks to process nursing data. The statistical results of the experimental research show that the deep neural network model combined with factor analysis can play a certain role in the clinical nursing effect. Thus, the blood glucose level analysis in elderly type 2 diabetic patients can provide a reference direction for the clinical care of blood glucose levels in elderly type 2 diabetic patients.

scholarly journals Psychometric Properties of a Moroccan Version of the Summary of Diabetes Self-Care Activities Measure

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Latifa Adarmouch ◽  
Majda Sebbani ◽  
Abdelhadi Elyacoubi ◽  
Mohamed Amine
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Self Care ◽  
Self Management ◽  
Diabetic Patients ◽  
Cronbach’S Alpha ◽  
Type 2 Diabetic Patients ◽  
Cronbach's Alpha ◽  
Type 2 Diabetic

Background. The Summary of Diabetes Self-Care Activities (SDSCA) is a widely used self-report measure for diabetes self-management. It is an interesting tool for practice and research.Objectives. To translate and culturally adapt the SDSCA to the Moroccan context and to assess psychometric properties of the adapted version among type 2 diabetic patients.Methods. The Moroccan version was obtained following forward and backward translations. An expert panel issued a final version. The adapted version was administered to patients aged 30 years and older who have type 2 diabetes. Psychometric evaluation consisted of assessing validity through internal consistency (Cronbach’s alpha, item-to-scale and interitem correlations) and exploratory factor analysis and reproducibility (test-retest reliability).Results. Seventy-five participants were included. Cronbach’s alpha ranged from 0.20 (diet) to 0.99 (exercise). Moderate to good interitem and item-to-scale correlations were found. Factor analysis resulted in a Moroccan SDSCA version consisting of 8 items, organized in four subscales that explained 89.6% of the variance: diet, exercise, blood sugar testing, and foot-care. Intraclass correlations ranged from 0.27 to 0.52 for subscales.Conclusion. This study provides preliminary evidence for suitability of use of the Moroccan SDSCA among type 2 diabetic patients in order to assess diabetes self-management.

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