Concordance Between Self-Report and a Survey-Based Algorithm for Classification of Type 1 and Type 2 Diabetes Using the 2011 Population-Based Survey on Living With Chronic Diseases in Canada (SLCDC)-Diabetes Component

Ng, Edward; Vanderloo, Saskia; Geiss, Linda S.; Johnson, Jeffrey

doi:10.1016/j.jcjd.2013.05.007

Cited by 12 publications

(10 citation statements)

References 10 publications

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“…In addition, because self-reported cases of unknown type were reclassified as type 2 diabetes, the prevalence of type 2 diabetes might have been overestimated. However, according to a Canadian survey-based algorithm to distinguish diabetes types, 99% of adults who self-reported unknown type would have been classified as type 2 diabetes ( 7 ). Finally, the small sample size of some subgroups limited precision.…”

Section: Discussionmentioning

confidence: 99%

“…Virtually all patients with type 1 diabetes require insulin to survive, and very few persons who use insulin do not report using it ( 5 ). Previous studies have found that self-reported diabetes type alone is not a valid method for classifying diabetes type in surveys because some patients are not aware of their diabetes type ( 5 , 7 ). Therefore, for this analysis, type 1 diabetes was defined as current insulin use and self-report of type 1 diabetes.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Prevalence of Diagnosed Diabetes in Adults by Diabetes Type — United States, 2016

Bullard¹,

Cowie²,

Lessem³

et al. 2018

MMWR Morb. Mortal. Wkly. Rep.

363

210

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Prevalence of Diagnosed Diabetes in Adults by Diabetes Type — United States, 2016

Bullard¹,

Cowie²,

Lessem³

et al. 2018

MMWR Morb. Mortal. Wkly. Rep.

363

210

View full text Add to dashboard Cite

“…We only included 2323 respondents who self-reported type 2 diabetes, based on the Ng, Dasgupta and Johnson (NDJ) classification algorithm. 23 Respondents with any missing values from any variables were excluded from our analysis.…”

Section: Data Sourcementioning

confidence: 99%

Income-related inequalities in visual impairment and eye screening services in patients with type 2 diabetes

Hwang

Rudnisky

Bowen

et al. 2016

Journal of Public Health

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Objective We aimed to measure income-related inequalities in visual impairment and use of eye screening services amongst Canadian living with type 2 diabetes, and to examine contribution of various socio-demographic factors to identified income-related inequalities. Methods We used data from the Survey on Living with Chronic Disease in Canada-Diabetes Component 2011 (SLCDC-DM) to derive the relative concentration index (RCI) and decomposition of the RCI. Results Individuals with lower income tended to have more visual impairment compared with those with higher income. The main contribution to the observed income inequality in visual impairment came from age and marital status. Regarding eye screening services, patients with higher income were more likely to use eye screening and preventive eye screening services. The main contributors to increased use were income, having private health insurance and patient's experience in discussing diabetic complications with health professionals. Conclusion Identified contributors of income-related inequality should be considered when health and healthcare policies are developed in order to minimize and mitigate the observed inequalities.

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“…Despite the benefit of subtyping is the examination of the individuality of condition. Subtyping type one diabetes mellitus (T1DM) and type two diabetes mellitus (T2DM) in the populace concentrates achievable utilizing as often as possible accessible clinical data [4,5] A few investigations have revealed. The populace pervasiveness of different types of diabetes, for example, monogenic diabetes [6,7] and diabetes because of pancreatic infection [8].…”

Section: Introductionmentioning

confidence: 99%

“…Group Health recommends avoiding the term pre-diabetes because not all patients with IGT and IFG will develop diabetes 3. Fasting is defined as no calorie intake for at least 8 h 4. The examination should be conducted as reported by the WHO using a glucose load-receiving the equivalent to 75 g of anhydrous glucose dissolved in water.…”

mentioning

confidence: 99%

Alterations of Lipid Levels May Induce the Insulin Resistance in Type Two Diabetes Mellitus: A Systemic Review

et al. 2020

Asian J Pharm Clin Res

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Diabetes mellitus (DM) is not one disorder; it represents a series of metabolic conditions related to hyperglycemia and caused by defects in hormone secretion and hormone action. Exposure to chronic hyperglycemia may result in microvascular complications in the retina (diabetic retinopathy), kidney (diabetic nephropathy), neuron (diabetic-neuropathy), skin, foot, and cardiac complications (stroke, hypertension…etc.). International Diabetes Federation estimates that 1.1 million children and adolescents aged 14–19 years have type one DM. Without interventions to halt the increase in diabetes, there will be at least 629 million people living with diabetes by 2045. In the body, white adipose tissue is the leading site for the storage of excess energy produced from the food intake in large quantities, of the development of insulin resistance (IR) and type 2 DM by the over intake of fatty acid in the body. It results in the accumulation of fatty acyl co-A (FA-CoA) within the myocytes. It leads to improper signaling of the insulin and reduces the level in the myocytes and pancreases beta cells. It combines with genetically reduces the expression of peroxisome proliferator-activated receptor-gamma (PPAR-γ) coactivator-1, initiates the inflammation process by the activation of the tumor necrotic factor alpha and protein kinase C. These alterations lead to further increase the intramyocellular FA-CoA and triglycerides. The sequence of events may develop mitochondrial dysfunction in the sarcolemma outer layers. Finally improves IR also with increasing intramyocellular lipids. This concept might be helpful to those who are pursuing endocrinology specialization, nursing staff, pharmacists, and other medical departments.

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Concordance Between Self-Report and a Survey-Based Algorithm for Classification of Type 1 and Type 2 Diabetes Using the 2011 Population-Based Survey on Living With Chronic Diseases in Canada (SLCDC)-Diabetes Component

Cited by 12 publications

References 10 publications

Prevalence of Diagnosed Diabetes in Adults by Diabetes Type — United States, 2016

Prevalence of Diagnosed Diabetes in Adults by Diabetes Type — United States, 2016

Income-related inequalities in visual impairment and eye screening services in patients with type 2 diabetes

Alterations of Lipid Levels May Induce the Insulin Resistance in Type Two Diabetes Mellitus: A Systemic Review

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