scholarly journals Childhood risk factors predict cardiovascular disease, impaired fasting glucose plus type 2 diabetes mellitus, and high blood pressure 26 years later at a mean age of 38 years: the Princeton–lipid research clinics follow-up study

Metabolism ◽  
2012 ◽  
Vol 61 (4) ◽  
pp. 531-541 ◽  
Author(s):  
John A. Morrison ◽  
Charles J. Glueck ◽  
Ping Wang
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Fasting Glucose ◽  
Lipid Research ◽  
Follow Up Study ◽  
Childhood Risk Factors

scholarly journals Perkembangan Diabetes Melitus Tipe 2 dari Prediabetes di Bogor, Jawa Barat

2018 ◽  
pp. 59-69 ◽  
Author(s):  
Eva Sulistiowati ◽  
Marice Sihombing
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Plasma Glucose ◽  
Central Obesity ◽  
Fasting Glucose ◽  
Diabetes Melitus

Abstrak Prediabetes merupakan kondisi gula darah puasa 100-125mg/dL (Impaired Fasting Glucose/IFG) atau kadar gula darah 2 jam setelah pembebanan 75 g glukosa 140-199 mg/dL (Impaired Glucose Tolerance/IGT). Prediabetes meningkatkan risiko terjadinya Diabetes Mellitus tipe 2 (DM tipe 2). Tujuan analisis ini untuk mengetahui terjadinya DM Tipe 2 pada responden dengan prediabetes dalam follow-up 2 tahun. Prospektif studi dalam 2 tahun pada 3344 responden Studi Kohor Faktor Risiko PTM non-DM tipe 2. Data yang dikumpulkan meliputi wawancara, pemeriksaan fisik (BB, TB, lingkar perut, tekanan darah), dan laboratorium (GDP, GDPP, Kolesterol total, HDL, LDL, Trigliserida). Kadar glukosa darah untuk DM Tipe 2 dan prediabetes mengacu pada kriteria ADA 2011. Analisis deskriptif tentang karakteristik, life tabel perkembangan DM Tipe 2 dari prediabetes. Prediabetes yang terjadi sebesar 24,6% (IFG 2,3%; IGT 19,2% dan mix IFG/IGT 2,8%) dan 13,4% mengalami DM tipe 2 dalam kurun waktu 2 tahun. Progresivitas terjadinya DM dari IFG, IGT dan mix TGTmasing-masing 6,21; 6,12 dan 14,6 per 100 orang per tahun. Faktor risiko yang mempengaruhi terjadinya DM tipe 2 antara lain: umur (40-54 tahun RR=1,97; CI 95%:1,02-3,82), 55-65 tahun (RR=2,74; CI 95%: 1,34-5,58), obesitas sentral (RR=4,42; CI 95%: 2,36-8,29), hipertensi (RR= 1,99; CI 95%: 1,29-3,06) dan hipertrigliserida (RR=1,83; CI 95%: 1,18-2,83). Proporsi prediabetes dan terjadinya DM tipe 2 di Bogor Tengah dalam pengamatan 2 tahun, meningkat dengan bertambahnya umur dan dipengaruhi oleh obesitas sentral, hipertensi, hipertrigliserida. Pengendalian faktor risiko dan pemeriksaan gula darah secara rutin dapat mencegah terjadinya DM tipe 2. Perlu ditunjang dengan posbindu PTM aktif di masyarakat, lingkungan kerja maupun sekolah. Kata kunci: Prediabetes, Diabetes Melitus tipe 2 (DM tipe 2), Bogor Tengah Abstract Prediabetes is a condition that fasting plasma glucose 100-125 mg/dL (Impaired Fasting Glucose/IFG) or blood glucose 2 hours after loading 75 g glucose 140-199 mg/dL (Impaired Glucose Tolerance/IGT). Prediabetes increases the risk of type 2 Diabetes Mellitus (T2DM). This analysis is to determine the progression rate to T2DM in prediabetes respondents during 2 years follow up. This is an two years prospective study in 3344 respondents Cohort Study of Risk Factors NCD without T2DM. The data collected included interviews, physical examination (body weight, height, abdominal circumference, blood pressure), and laboratory (fasting plasma glucose/FPG, plasma glucose 2 hours after loading 75 g glucose, total cholesterol, HDL, LDL, triglycerides). Blood glucose levels for DM and prediabetes refers to ADA criteria 2011. Data analisized by descriptive about characteristics, life table of T2DM development from prediabetes. Prediabetes occurred at 24.6% (IFG 2.3%, IGT 19.2% and mix IFG / IGT 2.8%) and 13.4% experienced type 2 diabetes within 2 years. The progression of DM from IFG, IGT and mix TGT is 6.21; 6.12 and 14,6 per 100 person per year respectively. The risk factors of T2DM are age (40-54 years old (RR=1,97; CI 95%:1,02-3,82), 55-65 years old (RR=2,74; CI 95%:1,34-5,58), central obesity (RR=4,42; CI 95%:2,36-8,29), hypertension (RR=1,99; CI 95%:1,29-3,06) and hypertriglyceride (RR=1,83; CI 95%:1,18-2,83). The proportion of prediabetes and progression T2DM in Central Bogor at 2 years follow up is quite high, increasing with age and influenced by central obesity, hypertension and hypertriglyceride. Controlling risk factors and checking blood glucose regularly can prevent T2DM. Need to be supported by posbindu PTM active in the community, work environment and school. Keywords: Prediabetes, type 2 Diabetes Mellitus (T2DM), Central Bogor

Abstract 008: Risk Factors for Type 2 Diabetes Mellitus Preceded by β-cell Dysfunction, Insulin Resistance, or Both: The Cardiovascular Health Study

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Fumiaki Imamura ◽  
Kenneth J Mukamal ◽  
James B Meigs ◽  
Jose A Luchsinger ◽  
Joachim H Ix ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Fasting Glucose ◽  
Β Cell ◽  
Cell Dysfunction

Background: Type 2 diabetes mellitus (DM) results from insulin resistance (IR), pancreatic β-cell dysfunction, or both. We hypothesized that risk factors could differ for DM preceded predominantly by IR, β-cell dysfunction, or both. This hypothesis is particularly important for older adults, in whom β-cell dysfunction may be relatively common. Methods: During 18 years of follow-up among 3,899 older adults free of DM (mean±sd age =73.0±5.8), we identified 274 incident DM cases by DM medication use, fasting glucose (≥126 mg/dL), or 2-hour post-challenge glucose (≥200 mg/dL), for whom homeostatic model assessments for IR (HOMA-IR) and β-cell function (HOMA-B) were assessed after baseline and before DM diagnosis. Using median cutoffs of the follow-up HOMA-IR and HOMA-B, we subclassified incident DM into DM preceded by IR only (n=112), β-cell dysfunction only (n=70), or both (n=77). Using multivariate competing-risk Cox models, we tested whether DM risk factors were differentially associated with risk of each DM subclass. Results: Elevated triglyceride levels (≥150 mg/dL) and impaired fasting glucose (100-125 mg/dL) were each positively associated with DM, irrespective of the DM subclass. Other DM risk factors of older age, overweight, obesity, low HDL cholesterol, and hypertension had substantially varying relationships with risk of different DM subclasses (p<0.001 for the variations). For example, overweight (BMI=25-29.9 kg/m2) and obesity (BMI≥30 kg/m2) were each positively associated with DM preceded by IR only (hazard ratio [95% CI]= 2.21 [1.25-3.92] and 5.02 [2.81-9.00], respectively), but with a significant inverse association with DM preceded by β-cell dysfunction only (0.61 [0.37-1.00] and 0.33 [0.14-0.80], respectively) (Figure). Conclusions: Among older adults, some DM risk factors differ substantially depending on HOMA-IR or HOMA-B subclassification. These findings support our hypothesis of heterogeneity in incident DM, especially among older adults.

scholarly journals Incidence and risk factors of type 2 diabetes mellitus in individuals with different fasting plasma glucose levels

2020 ◽  
Vol 11 ◽  
pp. 204201882092884
Author(s):  
Yumei Han ◽  
Shan Zhang ◽  
Shuo Chen ◽  
Jingbo Zhang ◽  
Xiuhua Guo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Protective Factors ◽  
Fasting Glucose ◽  
Density Lipoprotein ◽  
Older Age ◽  
Obesity Hypertension

Objective: Our aim was to examine the incidence and risk factors of type 2 diabetes mellitus (T2DM) among individuals with different fasting plasma glucose (FPG) levels. Methods: According to the first FPG value recorded between January 2006 and December 2017, individuals without T2DM (FPG <7 mmol/L) were divided into three groups: normal fasting glucose (NFG, FPG < 5.6 mmol/L), slightly impaired fasting glucose (IFGlow, 5.6 mmol/L ⩽ FPG < 6.1 mmol/L), and severely impaired fasting glucose (IFGhigh, 6.1 mmol/L ⩽ FPG < 7.0 mmol/L). Physical examination results, blood biochemical indicators, and questionnaire survey data were collected and the T2DM incidence was examined during the follow-up period. A Cox regression model was used to analyze the T2DM risk factors in the three groups. Results: A total of 44,852 individuals (55.33% men) were included in our study. During the follow-up period (mean follow-up time: 3.73 ± 0.01 years), 2912 T2DM cases occurred. The T2DM incidence rate of the NFG, IFGlow, and IFGhigh groups were 1.5%, 22.2%, and 43.8%, respectively ( p < 0.05). In the NFG group, the risk factors for T2DM were older age, overweight, obesity, hypertension, hyperuricemia, and increased estimated glomerular filtration rate (eGFR); the protective factors were female sex and high high-density lipoprotein cholesterol (HDL-C). In the IFGlow group, the risk factors for T2DM were older age, overweight, obesity, hypertension, and high total cholesterol (TC); the protective factors were increased triglyceride, low-density lipoprotein cholesterol (LDL-C), and HDL-C. In the IFGhigh group, the risk factors for T2DM were older age, obesity, high eGFR, and high TC; the protective factors were female sex, hyperuricemia, high LDL-C, and high HDL-C (all, p < 0.05). Conclusions: The increased T2DM rates were associated with increased FPG. Risk factors for T2DM vary in the NFG, IFGlow, and IFGhigh groups.

scholarly journals A 4 year follow-up study of cognitive functioning in patients with type 2 diabetes mellitus

Diabetologia ◽  
2009 ◽  
Vol 53 (1) ◽  
pp. 58-65 ◽  
Author(s):  
E. van den Berg ◽  
◽  
Y. D. Reijmer ◽  
J. de Bresser ◽  
R. P. C. Kessels ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cognitive Functioning ◽  
Follow Up Study

scholarly journals Risk Factors for Type 2 Diabetes Mellitus in Children

2010 ◽  
Vol 18 (5) ◽  
pp. 936-942 ◽  
Author(s):  
Suyanne Freire de Macêdo ◽  
Márcio Flávio Moura de Araújo ◽  
Niciane Pessoa Bandeira Marinho ◽  
Adman Câmara Soares Lima ◽  
Roberto Wagner Freire de Freitas ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Public Schools ◽  
Demographic Data ◽  
Healthy Habits ◽  
Capillary Glucose

This study investigates risk factors for type 2 diabetes mellitus in a population of children in public schools, Fortaleza, CE, Brazil. A total of 727 children aged 6 to 11 years old from 12 schools were evaluated between March and June 2008. A form addressing socio-demographic data, body mass index, blood pressure, capillary blood glucose and waist circumference was applied. A total of 54.1% of the children were female, 21.7% were overweight, 6.6% were obese, 27% had central obesity, 6.2% showed altered capillary glucose, and 17% high blood pressure. In relation to risk factors, 53.4% presented no risk factors; 24.3% had at least one factor and 18.8% two risk factors. Nurses can intervene in schools through educational health programs encouraging the adoption of healthy habits and identifying children at risk of type 2 diabetes mellitus.

scholarly journals Endothelin-1 predicts incident diabetic peripheral neuropathy in Type 2 Diabetes: a cohort study

2020 ◽  
Vol 182 (4) ◽  
pp. 429-438
Author(s):  
Sharon Li Ting Pek ◽  
Su Chi Lim ◽  
Keven Ang ◽  
Pek Yee Kwan ◽  
Wern Ee Tang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Cohort Study ◽  
Peripheral Neuropathy ◽  
Diabetic Peripheral Neuropathy ◽  
Diabetes Duration ◽  
Endothelin 1

Introduction Diabetic peripheral neuropathy (DPN) is a common microvascular complication in patients with type 2 diabetes (T2D). Apart from hyperglycemia, few modifiable risk factors have been identified. Endothelin-1 is a potent vasoconstrictor peptide, implicated in the causal pathway of microangiopathy. We investigated whether baseline plasma endothelin-1 and other metabolic and vascular risk factors predicted the incidence of DPN. Design This is a 3-year observational, cohort study. Methods In patients with T2D (n = 2057), anthropometric data, fasting blood, and urine were collected for biochemistry and urine albumin/creatinine measurements. Forearm cutaneous endothelial reactivity was assessed by iontophoresis and laser Doppler flowmetry/imaging. Measurements were repeated on follow-up. Incident DPN was considered present if an abnormal finding in monofilament (<8 of 10 points) or neurothesiometer testing was ≥25 volts on either foot at 3-year follow-up, but normal at baseline. Plasma endothelin-1 was assessed by ELISA. Results At baseline, mean age of patients was 57.4 ± 10.8 years old and prevalence of DPN was 10.8%. Of the 1767 patients without DPN, 1250 patients returned for follow-up assessment ((2.9 ± 0.7) years), with a 10.7% incidence of DPN. Patients with incident DPN had significantly higher baseline endothelin-1 (1.43 (1.19–1.73) vs 1.30 (1.06–1.63)) pg/mL, P < 0.0001. Multivariable Cox proportional hazards ratio showed a 1-s.d. increase in log endothelin-1 (adjusted HR: 4.345 (1.451–13.009), P = 0.009), systolic blood pressure (per 10-unit) (adjusted HR: 1.107 (1.001–1.223), P = 0.047) and diabetes duration (adjusted HR: 1.025 (1.004–1.047), P = 0.017) predicted incident DPN, after adjustment for glycemic control, eGFR, albuminuria, peripheral arterial disease and retinopathy status. Conclusion Higher baseline endothelin-1, blood pressure and diabetes duration were significant and independent predictors for incident DPN. Validation of our findings in independent cohorts and molecular mechanistic studies will help better our understanding on the role of endothelin-1 in DPN.

scholarly journals Association Between Classical and Emerging Risk Factors for Diabetic Kidney Disease and Albuminuria in a Cohort of Type 2 Diabetes Mellitus Patients

2021 ◽  
Vol 18 (3) ◽  
pp. 17-25
Author(s):  
Stoiţă Marcel ◽  
Popa Amorin Remus
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Significant Positive Association ◽  
Diabetic Kidney

Abstract The presence of albuminuria in patients with type 2 diabetes mellitus is a marker of endothelial dysfunction and also one of the criteria for diagnosing diabetic kidney disease. The present study aimed to identify associations between cardiovascular risk factors and renal albumin excretion in a group of 218 patients with type 2 diabetes mellitus. HbA1c values, systolic blood pressure, diastolic blood pressure were statistically significantly higher in patients with microalbuinuria or macroalbuminuria compared to patients with normoalbuminuria (p <0.01). We identified a statistically significant positive association between uric acid values and albuminuria, respectively 25- (OH)2 vitamin D3 deficiency and microalbuminuria (p <0.01).

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