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The aim of this study is to determine the preferences to participate in diabetes screening program of women with gestational diabetes mellitus (GDM) in postpartum period.

The data of retrospective and descriptive study were collected using “Individual Identification Form” and “Information Form for the Screening of Diabetes in the Postpartum Period” from 151 women in referred to obstetrics and gynecology clinic of a university hospital in Turkey.

Only 21.9% of women had diabetes screening in postpartum period and 21.2% of the participants were diagnosed with type 2 diabetes. It was determined that the participants mostly participated in screening because of the diabetes history in their family (30.3%). Women who had diabetes screening in postpartum period had lower level of education than those who did not and their level of knowledge about the screening in postpartum and the history of abortion were higher (p < 0.01).

The rate of participation in the screening for diabetes in the postpartum period is very low in pregnant women diagnosed with GDM. It was determined that the educational status, history of previous abortion and knowledge level of the women were factors that prevented participation in diabetes screening. This research is original because there are inadequacy of studies examining determining the participation status of pregnant women with GDM to diabetes screening in the literature. This study will contribute to health professionals in order to improve preventive factors and increase the participation of pregnant women with GDM in diabetes screening in the postpartum period.

Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy. GDM is defined as glucose intolerance of variable severity with onset or first recognition during pregnancy. The purpose of this paper is to produce information on prevalence, screening and diagnosis, pathophysiology and dietary, medical and lifestyle management of GDM.

This literature review aimed to document and record the results of the most updated studies published dealing with dietary, medical and lifestyle factors in managing GDM.

The prevalence of GDM differs worldwide based on population characteristics, race/ethnicity and diagnostic criteria. The pathophysiology of GDM is multifactorial and it is likely that genetic and environmental factors are associated with the occurrence of GDM. Medical nutritional therapy remains the mainstay of GDM management and aerobic and resistance physical activities are helpful adjunctive therapy when euglycemia is not attained by the medical nutritional therapy alone. When diet and exercise fail to achieve glycemic control, pharmacological agents such as insulin therapy and oral hypoglycemic medications are prescribed. Plasma glucose measurement is an essential part of glycemic control during pregnancy, as well as glycemic control can be evaluated using indicators of glycemic control such as hemoglobin A1c (HbA1c), glycated albumin and fructosamine.

This review is a comprehensive review that illustrates the effect of healthy diet, medical therapy and lifestyle change on improving GDM condition.

The purpose of this study was to develop the modified risk calculator for the Pakistani population based on differences in perceived versus actual risk factors for developing type 2 diabetes mellitus (T2-DM).

A cross-sectional study design was developed to assess the study sample of 296 individuals from the Pakistani population. The data was collected using a questionnaire divided into three parts: general health, the validated Risk Perception Survey for Developing Diabetes (RPS-DD) and actual T2-DM risk assessment.

The study findings showed that among the total participants, 70.27% reported a low perceived risk of developing T2-DM, whereas 29.72% reported a high perceived risk when considering their family history. Regarding actual risk, males showed a 59% higher likelihood of developing T2-DM than females, who have a 50% higher risk. The modified calculator includes physical activity, fatty food consumption, age 34–65 and over 65, depression and artificially sweetened beverages.

This study experienced limited representativeness; many participants provided incomplete nutritional and knowledge information. It involved 296 individuals, mostly from one province and a few from other provinces of Pakistan. Therefore, the results can be generalized to the whole Pakistani population.

This study underscores the need for targeted interventions to enhance risk perception, inform preventive strategies and further investigate the interplay between perceived and actual risks in T2-DM in Pakistan.

The outcomes of this study can help Pakistani individuals who perceive themselves at an elevated risk of developing T2-DM. There is a general awareness among the Pakistani population regarding T2-DM. In contrast to perceived risk, the data on actual risk reveals a significant disconnect.

In Pakistan, there is a lack of research on perceived versus actual risk factors for developing T2-DM. To the best of the authors’ knowledge, this is the first study that evaluates the actual risk factors of developing T2-DM based on culture and dietary diversity in Pakistan.

The purpose of this paper is to provide a comprehensive overview that demonstrates the prevention role of dietary fiber in type2 diabetes. Due to the frequent incidences of type2 diabetes and its related complications, a small percentage of reduction in the cases could save thousands of lives and economic loss spending on healthcare and medication.

A literature review has been performed over the electronic databases Medline PubMed and SciELO (The Scientific Electronic Library Online). The reference list of identified articles has also been reviewed. For this search, the following descriptors were considered: diabetes mellitus, hyperglycemia, diet therapy, dietary fiber and insulin sensitivity.

The updated publications indicated that valuable efforts have been done to clarify the beneficial effect of dietary fiber consumption on type2 diabetes. Dietary fiber plays a role as a promising alternative therapeutic means toward type2 diabetes mellitus prevention.

This review is unique in its comprehensive nature. This paper will reflect the role and mechanism of dietary fiber in the prevention of type2 diabetes.

Economic evaluations often utilise individual-patient data (IPD) to calculate probabilities of events based on observed proportions. However, this approach is limited when interest is in the likelihood of extreme biomarker values that vary by observable characteristics such as blood glucose in gestational diabetes mellitus (GDM). Here, instead of directly calculating probabilities using the IPD, we utilised flexible parametric models that estimate the full conditional distribution, capturing the non-normal characteristics of biomarkers and enabling the derivation of tail probabilities for specific populations. In the case study, we used data from the Born in Bradford study (N = 10,353) to model two non-normally distributed GDM biomarkers (2-hours post-load and fasting glucose). First, we applied fully parametric maximum likelihood to estimate alternative flexible models and information criteria for model selection. We then integrated the chosen distributions in a probabilistic decision model that estimates the cost-effective diagnostic thresholds and the expected costs and quality-adjusted life years (QALYs) of the alternative strategies (‘Testing and Treating’, ‘Treat all’, ‘Do Nothing’). The model adopts the ‘payer’ perspective and expresses results in net monetary benefits (NMB). The log-logistic and Singh-Maddala distributions offered the optimal fit for the 2-hours post-load and fasting glucose biomarkers, respectively. At £13,000 per QALY, maximum NMB with ‘Test and Treat’ (−£330) was achieved for a diagnostic threshold of fasting glucose >6.6 mmol/L, 2-hours post-load glucose >9 mmol/L, identifying 2.9% of women as GDM positive. The case study demonstrated that fully parametric approaches can be implemented in healthcare modelling when interest lies in extreme biomarker values.

Diabetes mellitus is becoming a growing concern worldwide. Hence, the purpose of this study is to assess the magnitude of poor glycemic control and to identify the determinants of poor glycemic control among diabetic patients attending a tertiary care hospital in Bangladesh.

This cross-sectional study was conducted among 732 diabetes patients seeking care at the outpatient department of Bangladesh Institute of Health Sciences Hospital, Dhaka, Bangladesh. Information, including glycemic status, was collected from patients’ medical records using a structured questionnaire.

About 87.6% of the patients were found to have poor glycemic control (glycosylated hemoglobin = 7%). Variables that were significant in bivariate analysis were put into a multivariate model where the factors associated with poor glycemic control were patients aged 41–60 years (odds ratio (OR)=2.26; 95% confidence interval (CI): 1.19–4.32, p = 0.013), suffering from diabetes for > 7 years (OR = 1.84; 95% CI: 1.12–2.99, p = 0.015), using insulin (OR = 2.34; 95% CI: 1.23–4.47; p = 0.010) or diet alone (OR = 0.20; 95% CI: 0.05–0.80, p = 0.023) as a type of diabetes treatment and proper use of medicine (OR = 0.37; 95% CI: 0.17–0.82, p = 0.015).

The high prevalence of poor glycemic control among diabetic patients is evident; therefore, strategic management and proper attention focusing on the predictors of poor glycemic control are necessary to reduce the long-term complications of diabetes.

Diabetes is a chronic disease and the major types of diabetes are type 1 and type 2. On aging, people with diabetes tend to have long-term problems in hypertension, coronary artery disease, obesity, and nerves. Given the increasing number of complications in recent years, by 2040, 624 million people will have diabetes worldwide and l in 8 adults will have diabetes in the future. Machine learning (ML) is evolving rapidly, many aspects of medical learning use ML. In this study, tension-type headaches (TTH) were associated with diabetes using SPSS, Pearson correlation, and ANOVA tests. Data were collected from Delhi NCR Hospital. It contains 30 diabetic subjects. The purpose of this study was to correlate diabetes analysis from TTH and other diseases using the latest technologies to analyze the Internet of Things and Big Data and Stress Correlation (TTH) on human health. The authors used Pearson correlation to correlate study variables and see if there was any effect between them. There was an important relationship between the percent variable, the total number of individuals, the number of individuals, and the minimum variable. The age (field) of the number of individuals to one of the total number of individuals showed a strong correlation (1.000) with a significant value of p (1.000). Overall, cases of TTH increased with age in men and do not follow the pattern of change in diabetes with age, but in cases of TTH, patterns of headaches such as diabetes increase to age 60 and then tend to decrease.

This paper discusses the role played by social determinants of health in the incidence and management of type 2 diabetes mellitus (diabetes) among vulnerable populations. This issue is especially important in light of recent data from Statistics Canada indicating that mortality rates from diabetes have been increasing among Canadians since the mid‐1980s, with increases being especially great among those living in low‐income communities. Diabetes therefore appears – like cardiovascular disease – to be an affliction more common among the poor and excluded. It also appears to be especially likely to afflict poor women. Yet we know little about how these social determinants of health influence diabetes incidence and management. What evidence is available is provided and the case is made that the crisis in diabetes requires new ways of thinking about this disease, its causes, and its management.

Many foods naturally contain dietary Cr, but lost during processing and cooking. Type 2 diabetes mellitus (T2DM) has been associated with poor glycemic control and low Cr status. The objectives of the current study were to evaluate the dietary Cr intake and its relationship with diabetes risk factors in moderately obese subjects with T2DM.

Thirty‐six subjects (age: 26–65 years) were recruited through local advertisements. Subjects were taking stable doses of oral antidiabetic medication(s) excluding concomitant insulin. Subjects had HbA1c ≥7 per cent, persistent impaired glucose control (2 hour glucose >200 mg dL⁻¹) and at least a one‐year history of T2DM. Demographic characteristics, blood pressure, body mass index (BMI), family and medical history were recorded. Three‐day dietary intakes were collected and evaluated for Cr and nutrient content using Nutritionist V software. Plasma glucose, circulating insulin and lipid profile were analyzed. Homeostatic model assessment insulin resistance (IR), beta cell function (BCF) and derived ratios were calculated. Morning void urinary chromium levels were also measured.

It was observed that mean dietary Cr intake of adults (30 mcg) was below the suggested recommended daily intake (RDI) of 120 mcg day⁻¹. These estimates correspond to approximately 16.4 μg Cr per 1000 Kcals. A significant correlation was observed between dietary Cr and fasting insulin (p<0.05), total‐C (p<0.05), LDL‐C (p<0.01), triglycerides (p<0.05), BCF (p<0.05), TG/HDL‐C ratio (p<0.01), HOMA BCF (p<0.05) and with atherogenic index in plasma (p<0.05).

In this study, the consumption of chromium is less than the RDI. Overall the results suggest that the US diets are inadequate in the essential metal chromium. Further studies are required to explore the relationship of Cr absorption with dietary Cr intake and risk factors in T2DM.

The downstream insulin signaling, such as phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt) pathway, is an important step for skeletal glucose disposal through the translocation of glucose transporter (GLUT)-4. In addition, the master of energy regulator adenosine monophosphate-activated kinase (AMPK) is also involved in GLUT-4 translocation, independent from the PI3K/Akt pathway. Fermented cassava tuber or gatot is a traditional food from Indonesia with antihyperglycemic properties. However, the molecular mechanism leading to this effect is unclear. Therefore, this paper aims to evaluate whether the antidiabetic activity of gatot is through PI3K/Akt dependent or AMPK pathway.

Diabetes mellitus was induced in 20 male Wistar rats by intraperitoneal injection of 65 mg/kg body weight streptozotocin and 230 mg/kg body weight nicotinamide. Diabetic rats were randomly allocated into four groups; negative control, positive control (metformin 100 mg/kg body weight), fermented cassava diet replacing 50% of carbohydrate (FC-50) and 100% of carbohydrate (FC-100) in the diet. Serum glucose, insulin and lipid profile were analyzed before and after four weeks of intervention. Genes expression of PI3K subunit alpha, PI3K subunit beta, PI3K regulatory subunit, Akt and AMPK were analyzed using real time polymerase chain reaction (PCR). GLUT-4 protein expression was performed using immunohistochemistry.

There is a significant difference (p = 0.000) in serum glucose, insulin, total cholesterol, triglyceride, high density lipoprotein (HDL)-cholesterol and LDL-cholesterol between groups. Skeletal AMPK gene expression was higher and significantly different between FC-100 (p = 0.006) and healthy control groups. No significant difference was observed in the messenger ribonucleic acid (mRNA) expression of the PI3K/Akt pathway among groups. GLUT-4 expression was highly expressed in a positive control group followed by FC-100.

This paper did not characterize the bioactive component that is responsible for increasing mRNA expression of AMPK. This paper also did not analyze the phosphorylation of PI3K/Akt and AMPK that are important in activating the protein.

To the best of the authors’ knowledge, this is the first study that showed the antidiabetic activity of traditional fermented food is through AMPK-dependent activity.