scholarly journals P2-375 Family history of diabetes: the role of grandparents data to identify adolescents at diabetes risk

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A326-A326
Author(s):  
M. Brandao ◽  
C. Lopes ◽  
E. Ramos
2021 ◽  
Author(s):  
Li Shu ◽  
Yingying Zhao ◽  
Yanqi Shen ◽  
Xiaolu Li ◽  
Mengting Qiu ◽  
...  

Abstract Background: Lipid accumulation product (LAP) is considered to be a new convenient useful indicator to assess the visceral fat. However, the association between LAP and family history of diabetes remains an undetermined concept. Therefore, we aimed to evaluate the risk factors of impaired fasting glucose (IFG) and diabetes, and explore the possible interacting influences of LAP with other factors on the risk of IFG and diabetes among Chinese normotension adults.Methods: A multistage stratified cluster sampling method was conducted to select urban residents aged 45-86 years in Bengbu, China. For each eligible participant, data on questionnaire survey, anthropometric measurements and laboratory tests were obtained. LAP was calculated and divided into four categories according to quartile. The effects of body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR) and LAP for predicting IFG and diabetes were performed by multiple logistic regressions and receiver operating characteristic (ROC) analyses. The interaction effects were evaluated by relative excess risk of interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI). If the 95% CI of RERI and AP do not include 0, the 95% CI of SI do not include 1, the interactions are statistically significant. Results: 6467 normotension subjects (2695 men and 3772 women) were enrolled in our study, the prevalence of IFG and diabetes were 9.37% and 14.33%, respectively. It was revealed that the prevalence rates of IFG and diabetes were gradually increased according to increasing LAP quartiles (P for trend <0.001). When assessed using ROC curve analysis, LAP exhibited higher diagnostic accuracy for identifying IFG and diabetes than BMI, the area under the AUC curve was 0.650 (95% CI: 0.637 to 0.662). After adjustment for age, sex, educational level and other confounding factors, multivariate logistic regression analyses indicated that subjects with the fourth quartile of LAP were more likely to develop IFG (adjusted OR: 2.735, 95% CI: 1.794-4.170) and diabetes (adjusted OR: 1.815, 95% CI: 1.297-2.541) than those with the first quartile. A significant interaction between LAP and family history of diabetes was observed in participants (RERI=1.538, 95%CI: 0.167 to 3.612; AP=0.375, 95%CI: 0.118 to 0.631; SI=1.980, 95%CI: 1.206 to 3.251), but there is no statistically significant difference between LAP and general obesity. However, a significant interaction between LAP and abdominal obesity was indicated by the value of RERI (1.492, 95%CI: 0.087 to 3.723) and AP (0.413, 95%CI: 0.014 to 0.756), but not the value of SI (1.824, 95%CI: 0.873 to 3.526). Conclusion: LAP significantly associates with IFG and diabetes risk in the study population, it has better performance than BMI, WC and WHtR. Apart from that, our results also demonstrated that there might be synergistic effect between LAP and family history of diabetes on the risk of IFG and diabetes.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Ranjita Misra ◽  
Cindy Fitch ◽  
David Roberts ◽  
Dana Wright

This project utilized a cross-sectional study design to assess diabetes risk among 540 individuals from 12 counties using trained extension agents and community organizations in West Virginia. Individuals were screened for diabetes using (1) the validated 7-item diabetes risk assessment survey and (2) hemoglobin A1c tests. Demographic and lifestyle behaviors were also collected. The average age, body mass index, and A1c were51.2±16.4,31.1±7.5, and5.8±0.74, respectively. The majority were females, Non-Hispanic Whites with no prior diagnosis of diabetes. Screenings showed that 61.8% of participants were at high risk for diabetes. Family history of diabetes (siblings or parents), overweight or obese status, sedentary lifestyle, and older age were commonly prevalent risk factors. Higher risk scores computed from the 7-item questions correlated positively with higher A1c (r=0.221,P<0.001). In multivariate logistic regression analyses, higher diabetes risk was predicted by obesity, older age, family history of hypertension, and gestational diabetes. Females were 4 times at higher risk than males. The findings indicated that community-based screenings were an effective way to assess diabetes risk in rural West Virginia. Linking diabetes screenings with referrals to lifestyle programs for high risk individuals can help reduce the burden of diabetes in the state.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Morena Ustulin ◽  
Sang Youl Rhee ◽  
Suk Chon ◽  
Kyu Keung Ahn ◽  
Ji Eun Lim ◽  
...  

2019 ◽  
Vol 15 (35) ◽  
pp. 4003-4007
Author(s):  
Lev M Berstein

Summary Hormone-dependent tissues' cancers (mainly breast and endometrial and several others) are among the most frequent malignancies in adults and are often discussed in context of their correlation with other chronic noncommunicable diseases (NCDs), for example, cardiovascular and cerebrovascular conditions, and their risk factors, which may also be hormone metabolic. An idea that is often expressed delineates common factors leading to NCDs of malignant and nonmalignant nature. However, this idea is not always confirmed by study results. The reasons for this discrepancy are not clear and require further analysis. This editorial tries to show the importance of this problem with a few examples (in particular, by attracting information on the role of birthweight, adult height and family history of diabetes) which may help us understand some mechanisms behind interconnections of major NCDs, including cancer.


2004 ◽  
Vol 43 (5) ◽  
pp. A468 ◽  
Author(s):  
Allison Goldfine ◽  
Joshua Beckman ◽  
Heather Devlin ◽  
Shauna Hurley ◽  
Mark Creager

Diabetes Care ◽  
2010 ◽  
Vol 33 (4) ◽  
pp. 763-767 ◽  
Author(s):  
E. van 't Riet ◽  
J. M. Dekker ◽  
Q. Sun ◽  
G. Nijpels ◽  
F. B. Hu ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Mohammadreza Bozorgmanesh ◽  
Farzad Hadaegh ◽  
Fereidoun Azizi

Aims. To provide a yardstick for physicians/patients to efficiently communicate/measure incident diabetes risk. Methods. We included data on 5,960 (3,438 women) diabetes-free adults, aged ≥20 years at baseline who either developed diabetes during two consecutive examinations or completed the followup. Age, systolic blood pressure, family history of diabetes, waist-to-height ratio (WHtR), triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDLD-C), and fasting plasma glucose (FPG) were introduced into an accelerated failure time regression model. Results. Annual diabetes incidence rate was 0.85/1000-person (95% CIs 0.77–0.94). Point-score-system incorporated age (1 point for >65 years), family history of diabetes (4 points), systolic blood pressure (−1 to 3 points), WHtR (−4 to 6 points), TG/HDL-C (1 point for ≥1.5), and FPG (0 to 27 points). Harrell’s C statistic = 0.830 (95% CIs 0.808–0.852) and Hosmer-Lemeshow χ2=9.7 (P for lack of fitness = 0.462) indicated good discrimination and calibration. We defined beta-cell age as chronological age of a person with the same predicted risk but all risk factors at the normal levels (i.e., WHtR 0.50, no family history of diabetes, Ln (TG/HDL-C) = 0.531, and FPG = 4.9 (mmol·L−1)). Conclusion. Hereby, we have made it also possible to estimate wide ranges of “beta-cell age” for most chronological ages to assist clinician with risk communication.


2001 ◽  
Vol 120 (5) ◽  
pp. A442-A442
Author(s):  
P TSIBOURIS ◽  
M HENDRICKSE ◽  
P ISAACS

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