Noninsulin-dependent diabetes mellitus (NIDDM), or Type II diabetes, is characterized by two primary defects: insulin resistance and insulin secretion. The two major goals of management of NIDDM are to achieve near normal metabolic control and to prevent/delay the microvascular and macrovascular complications of diabetes. Nutrition, exercise, and, if necessary, medication are the three primary treatment modalities used in NIDDM. Treatment regimens need to be individualized and developed with consideration for diabetes management goals and quality-of-life issues. Lean individuals with NIDDM should be encouraged to maintain their body weight and modify food composition and eating pattern to minimize glucose excursions. The primary treatment goal for an obese individual with NIDDM is weight loss. The process of teaching nutrition and meal planning involves developing a cooperative alliance, gathering information, setting realistic goals, intervention, and maintaining change. Nutrition intervention involves providing information in stages, beginning with "survival skill" information and progressing to in-depth information. The dietitian's responsibility is to promote continuity of learning by introducing new ideas and concepts and altering the learning environment. Dietitians can expand their role in the 1990s to that of a diabetes educator taking a leadership role to ensure that the individual with NIDDM receives comprehensive and individualized care.
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Sci Rep
January 2025
Department of Ophthalmology, Konyang University College of Medicine, Daejeon, Republic of Korea.
To determine longitudinal changes in the peripapillary retinal nerve fiber layer (pRNFL) thickness in type 2 diabetes mellitus (T2DM) patients with hypertension (HTN). Participants were divided into three groups: normal controls (Group 1), patients with T2DM (Group 2), and patients with both T2DM and HTN (Group 3). Following the initial examination, patients underwent three additional examinations at 1-year intervals.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Health Management, Policy & Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Background: Diabetes mellitus, particularly Type 2 diabetes (T2D), represents a significant global health challenge, with its prevalence steadily rising over the past few decades. This study was conducted with the aim of estimating the economic burden of T2D in Iran.
Methods: This study employed a prevalence-based approach to estimate the economic burden of T2D and its attributable complications in adults above 20 years old in Iran for 2022.
Background: The association between serum uric acid (SUA) and dyslipidaemia is still unclear in patients with type 2 diabetes mellitus (T2DM). This study aimed to examine the association between SUA and dyslipidaemia and to explore whether there is an optimal SUA level corresponding to the lower risk of suffering from dyslipidaemia.
Research Design And Methods: This cross-sectional study included 1036 inpatients with T2DM and the clinical data were extracted from the hospital medical records.
Trends Endocrinol Metab
January 2025
School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
With the rising prevalence of type 2 diabetes mellitus (T2DM) and obesity, several previously under-recognised complications associated with T2DM are becoming more evident. The most common of these emerging complications are metabolic dysfunction-associated steatotic liver disease (MASLD), cancer, dementia, sarcopenia, and frailty, as well as other conditions involving the lung, heart, and intestinal tract. Likely causative factors are chronic inflammation and insulin resistance, whereas blood glucose levels appear to play a lesser role.
View Article and Find Full Text PDFJ Trace Elem Med Biol
December 2024
Department of Biochemistry, Christian Medical College, Vellore, Tamil Nadu, India; Affiliated to The Tamil Nadu Dr. MGR Medical University, Chennai, India. Electronic address:
Introduction: Observational studies have found that higher iron levels are associated with an increased risk of diabetes mellitus. Given the limitations of causal inferences from observational studies and the expensive and time-consuming nature of randomized controlled trials, Mendelian randomization analysis presents a reasonable alternative to study causal relationships. Previous MR analyses studying iron levels and diabetes have used indirect markers of iron levels, such as serum ferritin, and found conflicting results.
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