scholarly journals Ethnicity is an independent risk indicator when estimating diabetes risk with FINDRISC scores: A cross sectional study comparing immigrants from the Middle East and native Swedes

2014 ◽  
Vol 8 (3) ◽  
pp. 231-238 ◽  
Author(s):  
L. Bennet ◽  
L. Groop ◽  
U. Lindblad ◽  
C.-D. Agardh ◽  
P.W. Franks
Keyword(s):  
Middle East ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Risk Indicator ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Low health literacy is associated with higher risk of type 2 diabetes: a cross-sectional study in Germany

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daniel Tajdar ◽  
Dagmar Lühmann ◽  
Regina Fertmann ◽  
Tim Steinberg ◽  
Hendrik van den Bussche ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Health Literacy ◽  
Statistical Models ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Sectional Study ◽  
Cross Sectional ◽  
Low Health Literacy ◽  
The Individual

Abstract Background Low health literacy is believed to be associated with behaviours that increase the risk of type 2 diabetes. But there is limited knowledge on the relation between health literacy (HL) and diabetes risk, and whether improving HL could be a potential prevention strategy. Therefore, the main purpose of this study was to examine the link between HL and diabetes risk among non-diabetic adults. Methods We used data from the Hamburg Diabetes Prevention Survey, a population-based cross-sectional study in Germany. One thousand, two hundred and fifty-five non-diabetic subjects aged 18–60 years were eligible. The German Diabetes Risk Score (GDRS, ranging 0 to 123 points) was used to determine the individual risk of type 2 diabetes. The short version of the European Health Literacy Questionnaire (HLS-EU-Q16, ranging 0 to 16 points) was applied to assess the individual self-reported HL. Subjects were asked to self-estimate their diabetes risk, which was then compared with the calculated GDRS. Descriptive statistics were calculated to investigate group differences in the GDRS and self-estimated diabetes risk. Linear as well as logistic regression models were performed to analyse potential influencing variables of the GDRS as well as incorrect self-estimated diabetes risk. In three nested statistical models for each outcome, these analyses were adjusted for age, gender, educational level and the presence of chronic conditions. Results According to the criteria of the GDRS, 996 (79.4%) subjects showed “low risk”, 176 (14.0%) “still low risk”, 53 (4.2%) “elevated risk”, and 30 (2.4%) “high to very high risk” to develop type 2 diabetes within the next 5 years. In the statistical models including all control variables, subjects with “inadequate HL” scored 2.38 points higher on the GDRS (95% CI 0.378 to 4.336; P = 0.020) and had a 2.04 greater chance to estimate their diabetes risk incorrectly (OR 2.04; 95% CI 1.33 to 3.14; P = 0.001) compared to those with “sufficient HL”. Conclusion The risk of type 2 diabetes is increased in people with inadequate self-reported HL. People with high diabetes risk and inadequate HL might be provided with educational programs to improve diabetes knowledge and reduce behavioural risk factors.

scholarly journals Removable denture is a risk indicator for peri-implantitis and facilitates expansion of specific periodontopathogens: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jasmin Grischke ◽  
Szymon P. Szafrański ◽  
Uthayakumar Muthukumarasamy ◽  
Susanne Haeussler ◽  
Meike Stiesch
Keyword(s):  
Bacterial Species ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Risk Indicators ◽  
Risk Indicator ◽  
Sectional Study ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
Linear Discriminant ◽  
Removable Denture

Abstract Background The prevalence of peri-implantitis ranges between 7 and 38.4% depending on risk indicators such as smoking, diabetes mellitus, lack of periodontal maintenance program, and history or presence of periodontitis. Currently, the possible effect of the type of superstructure on peri-implant health is unclear. This cross-sectional study aims to investigate the influence of the superstructure on the prevalence of peri-implant mucositis, peri-implantitis and peri-implant dysbiosis. Methods During a 32-month recruitment period dental implants were assessed to diagnose healthy peri-implant tissues, mucositis or peri-implantitis. The study included 1097 implants in 196 patients. Out of all peri-implantitis cases 20 randomly chosen submucosal biofilms from implants with fixed denture (FD) originating from 13 patients and 11 biofilms from implants with removable dentures (RD) originating from 3 patients were studied for microbiome analysis. Composition of transcriptionally active biofilms was revealed by RNAseq. Metatranscriptomic profiles were created for thirty-one peri-implant biofilms suffering from peri-implantitis and microbiome changes associated with superstructure types were identified. Results 16.41% of the implants were diagnosed with peri-implantitis, 25.00% of implants with RD and 12.68% of implants with FD, respectively. Multivariate analysis showed a significant positive association on patient (p =  < 0.001) and implant level (p = 0.03) between the prevalence of peri-implantitis and RD. Eight bacterial species were associated either with FD or RD by linear discriminant analysis effect size method. However, significant intergroup confounders (e.g. smoking) were present. Conclusions Within the limitations of the present work, RDs appear to be a risk indicator for peri-implantitis and seem to facilitate expansion of specific periodontopathogens. Potential ecological and pathological consequences of shift in microbiome from RDs towards higher activity of Fusobacterium nucleatum subspecies animalis and Prevotella intermedia require further investigation.

scholarly journals Indian diabetes risk profile of employees in a tertiary care facility in north Maharashtra: a cross sectional study

2021 ◽  
Vol 8 (10) ◽  
pp. 4944
Author(s):  
Shyam V. Ashtekar ◽  
Aryaman Singh ◽  
Manasi S. Padhyegurjar ◽  
Sidrah M. Shaikh ◽  
Abhimanyu R. Kapse ◽  
...  
Keyword(s):  
Physical Activity ◽  
Tertiary Care ◽  
Care Facility ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Waist Size ◽  
Tertiary Care Facility

Background: The rising prevalence of type 2 diabetes (T2D) in India calls for screening of at-risk adults. Objectives were to assess IDRS (Indian diabetes risk score) of T2D in staff in tertiary care hospital, and to assess covariates random blood sugar (RBS), BMI, skinfold thickness (SFT), pre-existing T2D in the employees.Methods: In this cross sectional study, IDRS was used to assess all staff in a tertiary care institute. Anthropometric measurements, BP and RBS were done. Information on parental T2D, cereal intake and weekly physical activity (PA) was obtained in interview.Results: 370 subjects (F-117, M-273) with mean age 30.81 (7.99), BMI 22.89 (14.13) years were screened. Subjects in moderate and sedentary work were 185 each, 15% women and 39% men had higher waist size. Total 5.4% subjects had T2D including known diabetics. RBS in women and men was 113.1 (27.87), 114.7 (27.66), with IDRS score high in 29 (7.84%) and moderate in 144 (38.92%). Parental T2D was present in 19.5% subjects. IDRS risk was strongly associated with type of work (Chi-square 79.0283, df=4, p=0.00). Multiple logistic regression for IDRS risk outcome showed association of age (OR 1.4), BMI (OR1.3), parental T2D (OR 9.6) with highly significant p values. Multiple linear regression for RBS outcome was associated with age (OR 1.3) and BMI (OR 1.4) but the results were statistically not significant.Conclusions: Pooled IDRS risk was present in 47% subjects despite younger age of study population. Improvements in physical activity and reduction in waist size is the need of the hour.

scholarly journals Apgar index as a probable risk indicator for enamel defects in primary dentition: A cross sectional study

2015 ◽  
Vol 33 (3) ◽  
pp. 229
Author(s):  
S. V. S. G. Nirmala ◽  
MohammedAkhil Quadar ◽  
Sindhuri Veluru ◽  
Namratha Tharay ◽  
NaveenNaveen Kolli ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Primary Dentition ◽  
Risk Indicator ◽  
Sectional Study ◽  
Cross Sectional ◽  
Enamel Defects
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