Diabetes Risk Test Research Articles

1508-P: Predicting Stress Hyperglycemia in Patients without Diabetes Admitted to the Hospital

Stress hyperglycemia (SH) is associated with poor clinical outcomes in hospitalized patients. Delays in recognizing SH impact timing of treatment, however, the best way to identify those at risk is unclear. We assessed the value of a validated diabetes risk test, the Cambridge Risk Score (CRS), to predict SH in patients admitted to the hospital compared to using undiagnosed diabetes and prediabetes based on HbA1c. Adults admitted without diabetes or use of diabetes medication to medical and surgical services of an academic hospital over 4 years was analyzed. Patients with at least one measurement of blood glucose ≥ 140mg/dL during the stay were identified as having SH. CRS was calculated using age, sex, BMI, family history of diabetes, smoking status, and use of antihypertensives or steroids. Prediabetes was defined based on HbA1c 5.7-6.4 and undiagnosed diabetes was defined as HbA1c >=6.5 without ICD code of diabetes in the medical record. Multivariate regression was used to assess the association between CRS, prediabetes and undiagnosed diabetes, and risk of SH controlling for relevant covariates. 5,535 adults met inclusion criteria, 25.9% developed SH. CRS as a continuous variable was significantly associated with risk of SH after adjustment (OR 2.25, 1.84 - 2.74). Prediabetes was significantly associated with risk of SH after adjustment (OR 1.31, 1.13-1.51). However, undiagnosed diabetes was not significantly associated with SH, but many individuals were missing A1c measures which could have influenced results. In conclusion results of this study suggest CRS risk stratification and early assessment for prediabetes may allow early identification of individuals at risk for SH. Disclosure C.E. Mendez: Advisory Panel; Self; Monarch Medical Technologies. R.J. Walker: None. K. Lu: None. A.Z. Dawson: None. L.E. Egede: None.

1443-P: Can the ADA Diabetes Risk Score Be Approximated Using Routine Data in the Electronic Health Record? Findings from a Federally Qualified Health Center

Objective: Common diabetes risk screening tools like the American Diabetes Association Diabetes Risk Test (ADADRT) requires survey administration. We studied if diabetes risk can be assessed from routinely available data in the electronic health record (EHR). Methods: ADADRT was administered to 169 participants without preexisting diagnosis of prediabetes or diabetes, following which the EHR was reviewed for information on ADADRT questions. Standard validation measures were calculated using HbA1c as the gold standard. Results: About 27% of the sample had prediabetes or diabetes. Of the 7 ADADRT variables, physical activity was the least available in the EHR. We observed that modifying ADADRT by dropping physical activity and changing the risk threshold from ≥5 to ≥4 preserves its diagnostic accuracy. The modified ADADRT (cutoff at ≥4) was then approximated using EHR data, yielding the following validation measures: proportion of high-risk persons 56.8%, sensitivity 77.8%, specificity 50.8%, positive predictive value 36.5%, negative predictive value 86.3%, Youden Index 28.6, and area under the receiver-operating characteristic curve 0.64. Conclusion: Diabetes risk score can be estimated using routine EHR data. This could mean a quicker eligibility determination for prediabetes testing and referral to the National Diabetes Prevention Program. Disclosure C.C. Chima: None. N. Anikpezie: None. L.S. Pongetti: None. B.C. Wade: None. T. Powell: None. B. Beech: None.

Health information-seeking styles and health information literacy in relation to anticipated health-promoting behaviour - results from an online diabetes risk test survey

Health information-seeking styles and health information literacy in relation to anticipated health-promoting behaviour - results from an online diabetes risk test survey

Health information-seeking styles and health information literacy in relation to anticipated health-promoting behaviour - results from an online diabetes risk test survey

The paper presents results from a survey of users of an online diabetes risk test. We studied relationships between information-seeking styles and everyday health information literacy, as well as anticipated behaviours in case of risk for type 2 diabetes for 184 respondents who had taken the risk test prior to responding to the survey. We assessed active, moderate and passive health information-seeking styles, as well as low, basic and high everyday health information literacy and tested them against health-promoting information-related activities and health behaviour. Significant relationships occurred between information-seeking styles and four activities: 'check further information', 'make an appointment', 'increase the amount of physical activities' and 'do nothing'. Education level was significantly related to two health-promoting behaviours, whereas level of everyday health information literacy was related to only one. Despite limitations, the results of this exploratory study open up for further research about the role of information-seeking styles and health-promoting behaviour.

Risk assessment and HbA1c measurement in Norwegian community pharmacies to identify people with undiagnosed type 2 diabetes - A feasibility study.

ObjectivesDetermine the feasibility of using a diabetes risk assessment tool followed by HbA1c-measurement in a community-pharmacy setting in Norway.MethodsIn this longitudinal study two pharmacists in each of three community pharmacies were trained to perform risk assessments, HbA1c-measurements and counselling. Pharmacy customers who were > 18 years old and could understand and speak Norwegian or English were recruited in the pharmacies during a two-months-period. Information about the service was presented in local newspapers, social media, leaflets and posters at the pharmacy. Customers wishing to participate contacted the pharmacy staff. Participants completed a validated diabetes risk test and a background questionnaire including a validated instrument for self-rated health. A HbA1c measurement was performed for individuals with a moderate to high risk of developing diabetes. If HbA1c ≥ 6.5% they were recommended to visit their general practitioner for follow-up. The pharmacies performed internal and external quality control of the HbA1c instrument.ResultsOf the 211 included participants 97 (46%) were > 50 years old. HbA1c was measured for the 47 participants (22%) with high risk. Thirty-two (15%) had HbA1c values < 5.7%, twelve (5.4%) had values between 5.7%—6.4%, and three (1.4%) had an HbA1c ≥ 6.5%. Two participants with HbA1 ≥ 6.5% were diagnosed with diabetes by their general practitioner. The third was lost to follow-up. Results from internal and external quality control for HbA1c were within set limits.ConclusionThe pharmacists were able to perform the risk assessment and measurement of HbA1c, and pharmacy customers were willing to participate. The HbA1c measurements fulfilled the requirements for analytical quality. Thus, it is feasible to implement this service in community pharmacies in Norway. In a large-scale study the inclusion criteria should be increased to 45 years in accordance with the population the risk test has been validated for.

Validation of the diabetes screening tools proposed by the American Diabetes Association in an aging Chinese population.

AimDiabetes is a serious global health problem. A simple and effective screening tool should have substantial public health benefit. We investigated the performance of the latest American Diabetes Association diabetes screening methods in our aging Chinese population.MethodsSubjects without diabetes who returned for the 4th Hong Kong Cardiovascular Risk Factors Prevalence Study in 2010–2012 were evaluated for the probability of having diabetes with reference to the age- and body mass index-based screening criteria (screening criteria) and the diabetes risk test (risk test), and the conclusion drawn was compared to their measured glycaemic status. Diabetes was defined by fasting glucose ≥ 7 mmol/L or 2-hour post oral glucose tolerance test glucose ≥ 11.1 mmol/L.Results1415 subjects, aged 58.1±10.2, were evaluated. 95 (6.7%) had diabetes. The risk test showed good accuracy (area under the receiver operating curve 0.725) in screening for diabetes with an optimal cut-off score of five. Compared to the screening criteria, the risk test had significantly better specificity (0.57 vs. 0.41, p<0.001), positive predictive value (0.12 vs. 0.09, p<0.001) and positive diagnostic likelihood ratio (1.85 vs. 1.37, p<0.001). To diagnose one case of diabetes, fewer subjects (11 vs. 18) needed to be tested for blood glucose if the risk test was adopted.ConclusionThe risk test appears to be a more effective screening tool in our population. It is simple to use and can be adopted as a public health strategy for identifying people with undiagnosed diabetes for early intervention.

Nurse Practitioner Perceptions of a Diabetes Risk Assessment Tool in the Retail Clinic Setting.

IN BRIEF This article describes a study to gain insight into the utility and perceived feasibility of the American Diabetes Association’s Diabetes Risk Test (DRT) implemented by nurse practitioners (NPs) in the retail clinic setting. The DRT is intended for those without a known risk for diabetes. Researchers invited 1,097 NPs working in the retail clinics of a nationwide company to participate voluntarily in an online questionnaire. Of the 248 NPs who sent in complete responses, 114 (46%) indicated that they used the DRT in the clinic. Overall mean responses from these NPs indicated that they perceive the DRT as a feasible tool in the retail clinic setting. Use of the DRT or similar risk assessment tools in the retail clinic setting can aid in the identification of people at risk for type 2 diabetes.

A pilot study of an HbA1c chairside screening protocol for diabetes in patients with chronic periodontitis: the dental hygienist's role.

To assess effectiveness, convenience and cost of point-of-care diabetes screenings performed by a dental hygienist for patients with periodontitis, using a diabetes risk questionnaire, periodontal findings and a glycosylated haemoglobin (HbA1c) analyser. A purposive sample of 50 participants with periodontitis, never diagnosed with diabetes, reporting ≥one diabetes risk factor, were administered an HbA1c test. Spearman's correlation measured relationships between HbA1c and diabetes risk test scores, numbers of missing teeth, percentage of deep pockets ≥5mm and percentage of bleeding sites (BOP). Cost and time were assessed. Analyses used 0.05 alpha levels. Thirty-two per cent (n=16) of participants presented HbA1c values indicating prediabetes; one HbA1c value indicated type 2 diabetes, totalling 34% (N=17). No relationships existed between HbA1c values and diabetes risk scores (rs=0.153; P=0.144), numbers of missing teeth (r=0.190; P=0.093), percentage of deep pockets (rs=-0.048; P=0.370) or percentage of BOP sites (rs=0.066, P=0.324). Direct cost for each HbA1c was $9US, excluding follow-up medical diagnosis. Mean screening time including patient education was 14min (SD=6.2). Fifty-three per cent (n=9 of 17) of participants with elevated HbA1c values contacted their primary healthcare provider within 2weeks as recommended. Point-of-care HbA1c screenings by dental hygienists were effective and convenient for identifying undiagnosed prediabetes and provide opportunity for interprofessional patient care; cost or lack of dental insurance may inhibit implementation. Identification of patients at risk for diabetes requires further evaluation.

Prevalence of type 2 diabetes among Yoga practitioners: A pilot cross-sectional study in two districts in India.

Introduction:Diabetes is one of the major health diseases in the world today. The efficacy of Yoga in the management of type 2 diabetes is well-established. The aim of this study was to assess the prevalence of type 2 diabetes among Yoga practitioners in two districts of India (one each in West and South of India).Methodology:In this cross-sectional field study, 155 Yoga practitioners from Pune and 192 from Ernakulam districts were assessed using the diabetes risk test and fasting blood sugar. The data collected were entered in a statistics software package and analyzed using the Pearson's correlation analysis, t-test, univariate ANOVA, and linear regression to understand the predictors of risk for diabetes.Results:The overall prevalence of diabetes among Yoga practitioners in Central Pune was 3.6% (95% confidence interval [CI]: [0.01–0.04]). 18.9% of participants (95% CI: [0.16–0.19]) were diagnosed to be “at risk” for diabetes. In Ernakulam, the overall prevalence of diabetes among practitioners was 26% (95% CI: [0.05-0.06]) with 12% of practitioners (95% CI: [0.05-0.06]) diagnosed to be “at risk” for diabetes (prediabetic). Higher age and lesser duration of Yoga practice were significant predictors of diabetes.Conclusion:It is essential for every person above the age of 40 to undergo regular health check-ups and screening for diabetes and involve oneself in lifestyle modification programs such as Yoga for significantly long duration of time on a daily basis, to better manage diabetes.

Self-assessed and self-reported lifestyle of people at risk of cardiovascular diseases

Background: Lifestyle affects the risk of suffering from cardiovascular diseases. Lifestyle and health behaviour are most commonly studied by using self-assessment and self-reporting as a research method. The purpose of this study was to illustrate how asymptomatic people with a diagnosed risk of cardiovascular diseases assess and report their current lifestyle. In particular, the study evaluated how the participants’ self-assessed and self-reported lifestyles correlated with health parameters that were measured such as blood pressure, cholesterol level, body mass index (BMI) and waist circumference. Methods: The study material was obtained from a cardiovascular health project in Lapland, Finland, which aimed at identifying 40-year-old individuals at risk of cardiovascular disease. Screening consisted of blood tests (total level of cholesterol, HDL, LDL, plasma glucose) and health parameter measurements (blood pressure, BMI and waist circumference). All participants filled in a diabetes risk test, lifestyle questionnaire and dietary and physical activity diaries. Data analyses included statistical analyses, cross-tabulation, Fisher’s Exact test (FET) and Micro-Nutrica Nutritional Analysis Program. Results: 37.3% of the participants assessed themselves to be obese and 54.9% thought themselves to be slightly overweight although the calculated average BMI (30.7 ± 5.4 kg/m 2 ) showed clearly that they were overweight. Over half of the participants (54.7%) assessed themselves as having the recommended amount of everyday physical activity per week but the physical activity diaries showed that the real amount was significantly less and inadequate in terms of their health. Inadequate physical activity was connected to obesity. As well as the use of hard fat, vegetable and fibre intake was too low which may have contributed to the elevated total cholesterol and LDL levels in the blood tests. This research showed both over- and under-reporting. Particularly, differences in reporting were observed between overweight and normal weight participants in addition to those whose blood test results exceeded recommended level compared with those having results within the normal range. Over half of the participants assessed their health to be either good or at least quite good. Some correlation between the self-assessed lifestyle and health parameters measured were found. Conclusions: The strengths of this study were the multifaceted data collection approach, which provided a versatile view of studying lifestyle, and the special nature of engaging voluntary participants to screenings and the reporting process. Participants’ own assessments regarding their lifestyle were not fully in line with either the reported lifestyle or health parameter measurement results. This study clearly showed that physical activity and food diaries together with health parameter measurements provide additional information about self-assessed lifestyle.

Screening for diabetes mellitus in dental practices: A field trial

In this field trial, the authors assess the feasibility of screening for diabetes and prediabetes in dental practices and in a community health center. Dental patients 45 years and older who were not aware of their diabetic status underwent evaluation for diabetes risk with an American Diabetes Association Diabetes Risk Test and with hemoglobin (Hb) A1c measurement. Participants with an HbA1c level of 5.7 percent or greater were referred to their physicians for diagnosis. Of the 1,022 patients screened, 416 (40.7 percent) had an HbA1c blood level of 5.7 percent or greater and were referred for diagnosis. The HbA1c and the American Diabetes Association Diabetes Risk Test were correlated (P < .001). Of the 416 participants who were referred, 35.1 percent received a diagnosis from their physicians within one year; 78.8 percent of these patients were seen in the community health center and 21.4 percent were seen in private dental offices. The diagnoses were diabetes (12.3 percent of patients), high risk of developing diabetes (that is, prediabetes) (23.3 percent) and no diabetes (64.4 percent). The study results show that screening for prediabetes and diabetes is feasible in a dental office, with acceptance by the dentist and dental office staff members, patients' physicians and patients. Patients from the community health center demonstrated good compliance with referrals to physicians; however, compliance was poor among those in the private dental offices. Screening for diabetes and prediabetes in the dental office may provide an important benefit to patients and encourage interprofessional collaboration to achieve a chronic care model in which health care professionals work together to care for a panel of patients.

DESIGN OF MOBILE EXPERT SYSTEM FOR DIABETES RISK DIAGNOSIS AND INFORMATION

Along with the development of information technology, mobile applications are widely applied to various fields. The use of mobile applications is considered effective to help user in understanding the problem. One example of the application of mobile applications needed today is an application that can help to determine a wide range of health. The designs discussed in this paper are the structure of the navigation and layout design of mobile applications created. There is a navigation structure and eight layout designs such as splash screen page, main menu page, diabetes risk test page, result page, diabetes prevention info page, food information page, list of hospitals page, and help page. The purpose of this paper is to design of mobile application for diabetes risk diagnosis and information based on android.

Comparison of SCOUT DS, the ADA Diabetes Risk Test and Random Capillary Glucose for Diabetes Screening in At-Risk Populations

Comparison of SCOUT DS, the ADA Diabetes Risk Test and Random Capillary Glucose for Diabetes Screening in At-Risk Populations

Screening for HbA1c-defined prediabetes and diabetes in an at-risk greek population: Performance comparison of random capillary glucose, the ADA diabetes risk test and skin fluorescence spectroscopy

BackgroundWe examined the accuracy of random capillary glucose (RCG) and two noninvasive screening methods, the ADA diabetes risk test (DRT) and skin fluorescence spectroscopy (SFS) as measured by Scout DS for detecting HbA1c-defined dysglycemia or type 2 diabetes in an at-risk cohort. MethodsSubjects were recruited at two clinical sites for a single non-fasting visit. Each subject had measurements of height, weight and waist circumference. A diabetes score was calculated from skin fluorescence measured on the left forearm. A finger prick was done to measure RCG and HbA1c (A1C). Health questionnaires were completed for the DRT. Increasing dysglycemia was defined as A1C≥5.7% (39mmol/mol) or ≥6.0% (42mmol/mol). Type 2 diabetes was defined as A1C≥6.5% (47.5mmol/mol). Results398 of 409 subjects had complete data for analysis with means for age, body mass index, and waist of 52 years, 27kg/m2 and 90cm. 51% were male. Prevalence of A1C≥5.7%, ≥6.0% and ≥6.5% were 54%, 34% and 12%, respectively. Areas under the curve (AUC) for detection of increasing levels dysglycemia or diabetes for RCG were 63%, 66% and 72%, for the ADA DRT the AUCs were 75%, 76% and 81% and for SFS the AUCs were 82%, 84% and 90%, respectively. For each level of dysglycemia or diabetes, the SFS AUC was significantly higher than RCG or the ADA DRT. ConclusionsThe noninvasive skin fluorescence spectroscopy measurement outperformed both RCG and the ADA DRT for detection of A1C-defined dysglycemia or diabetes in an at-risk cohort.

Utility of screening for diabetes in a burn center: Hemoglobin A1c, Diabetes Risk Test, or simple history?

ObjectiveRates of diabetes mellitus (DM) are increasing. Early identification and treatment of hyperglycemia in the critical care setting can decrease morbidity and mortality. Many burn centers measure hemoglobin A1c (A1c). This study evaluates the prevalence of pre-existing DM and the utility of using A1c for identifying DM compared with a non-invasive risk assessment. MethodsAdult patients admitted to our regional ABA-verified burn center from July 2008 to July 2009 had A1c levels evaluated and were asked to complete the American Diabetes Association Diabetes Risk Test (DRT). ResultsForty-one patients consented to participate: 24 patients with burn (19 male) and 17 patients with non-burns (10 male). Non-burn patients had greater BMIs (BMI 32 vs. 28, p=0.093) and had a higher rate of DM prior to admission (35% vs. 17%, p=0.159) than the burn patients. These differences were not statistically significant. Most patients (23/41) were at high risk for developing DM based on the DRT. Patients with pre-existing DM were significantly more likely to have elevated A1c levels (>6.5%) compared with those without pre-existing DM (60% vs. 0%, p<0.001). Compared with history of DM, DRT had a poor positive predictive value of 36% and 50% (burn and non-burn respectively) but a 100% negative predictive value for DM for both groups. ConclusionDM and obesity were more common in non-burn patients than in burn patients. A history of DM provides a simple, accurate method for identifying patients with DM. Use of A1c in the ICU provides little additional data for diagnosis of DM and does not impact patient management.

Illness perception and knowledge with regard to prediabetes and type 2 diabetes

We aimed to explore emergency department (ED) patients', doctors', and nurses' knowledge and illness perception with regard to prediabetes and type 2 diabetes mellitus (T2DM), and to determine whether patients' diabetes risk was associated with illness perception. A cross-sectional survey of adult ED patients and clinicians was undertaken. Patients and clinicians were administered the 72-item Illness Perception Questionnaire-Revised, five researcher-generated questions with regard to the awareness of T2DM, and seven items with regard to the efficacy of lifestyle interventions. Patients were also administered the eight-item Type 2 Diabetes Risk Test. Of 127 patients and 29 ED clinicians recruited, only 30 (38/127) and 72% (21/29), respectively, reported having heard of prediabetes. Thirty-six percent of patients had an intermediate-high risk of developing T2DM according to the Diabetes Risk Test. The risk of developing T2DM was weakly correlated (r<0.19) with all Illness Perception Questionnaire subscales. Knowledge of prediabetes is poor among ED patients and many are unaware that T2DM may be asymptomatic. Patients and clinicians perceived lifestyle factors to be causative for T2DM, but both perceived patients as having little control over the condition. The capacity of lifestyle modifications to alter the course of T2DM should be emphasized in future education programs.

Type 2 diabetes genetic association database manually curated for the study design and odds ratio

BackgroundThe prevalence of type 2 diabetes has reached epidemic proportions worldwide, and the incidence of life-threatening complications of diabetes through continued exposure of tissues to high glucose levels is increasing. Advances in genotyping technology have increased the scale and accuracy of the genotype data so that an association genetic study has expanded enormously. Consequently, it is difficult to search the published association data efficiently, and several databases on the association results have been constructed, but these databases have their limitations to researchers: some providing only genome-wide association data, some not focused on the association but more on the integrative data, and some are not user-friendly. In this study, a user-friend database of type 2 diabetes genetic association of manually curated information was constructed.DescriptionThe list of publications used in this study was collected from the HuGE Navigator, which is an online database of published genome epidemiology literature. Because type 2 diabetes genetic association database (T2DGADB) aims to provide specialized information on the genetic risk factors involved in the development of type 2 diabetes, 701 of the 1,771 publications in the type 2 Diabetes case-control study for the development of the disease were extracted.ConclusionsIn the database, the association results were grouped as either positive or negative. The gene and SNP names were replaced with gene symbols and rsSNP numbers, the association p-values were determined manually, and the results are displayed by graphs and tables. In addition, the study design in publications, such as the population type and size are described. This database can be used for research purposes, such as an association and functional study of type 2 diabetes related genes, and as a primary genetic resource to construct a diabetes risk test in the preparation of personalized medicine in the future.

Don't derogate this message! Self-affirmation promotes online type 2 diabetes risk test taking

The aim of the present study was to examine whether self-affirmation promotes acceptance of threatening type 2 diabetes information and risk-testing behaviour. In an experimental study (N = 84), we manipulated self-affirmation by allowing participants to affirm a value that was either personally important or unimportant to them, and measured participants' risk level prior to reading threatening type 2 diabetes information. As dependent variables, we measured message derogation, intentions to do an online type 2 diabetes risk test and online risk-testing behaviour. Findings showed that self-affirmation decreased message derogation, increased intentions to do an online risk test and promoted online risk test taking among at-risk participants. Among participants not at-risk, self-affirmation decreased intentions and online risk test taking. Therefore, it is concluded, that for an at-risk population self-affirmation can decrease defensive responses to threatening health information and promote (online) risk test taking for diseases.

Risk Perception for Developing Diabetes Among Pharmacists

Emerging evidence implies that differences in risk perception between healthcare professionals and the lay public exist. To compare the actual risk status versus the personal risk perceptions for developing diabetes among pharmacists. Perceived risk was measured in this cross-sectional study with the validated Risk Perception Survey for Developing Diabetes (RPS-DD). The RPS-DD has 4 main subscales aimed at capturing multiple dimensions of perceived risk and is scored on the following scale: 1 (almost no risk), 2 (slight risk), 3 (moderate risk), and 4 (high risk). Actual risk was assigned according to the American Diabetes Association (ADA) Diabetes Risk Test. Differences between higher and lower ADA risk participants were analyzed. Regression analyses were conducted to examine risk factors associated with pharmacists' self-reported perception for developing diabetes. Pharmacists (N = 218, 46.2 +/- 12.2 years [mean +/- SD], 47.7% male, 85.9% white) completed the survey. The Comparative Disease and Environmental Risk mean subscale scores were 1.98 +/- 0.43 and 1.86 +/- 0.41, indicating slight risk perceptions for the subscales, respectively. The single-item self-reported perceived risk for developing diabetes was 2.25 +/- 0.90, indicating a slight to moderate perceived risk for this disease. The Optimistic Bias score was 2.60 +/- 0.64, suggesting a trend toward more optimistic bias and a lower perceived risk for the development of diabetes. The Personal Control score was 3.38 +/- 0.47, illustrating that pharmacists endorsed personal control over the development of diabetes. Higher ADA risk participants reported less optimistic bias compared with lower risk respondents (p = 0.005). Comparative disease risk perception (correlation [r] = 0.38; p < 0.0001) and degree of optimistic bias (r = -0.49; p < 0.0001) emerged as the only predictors for diabetes related risk perception Pharmacists exhibited a slight to moderate risk perception for developing diabetes, reported a trend toward more optimistic bias, and demonstrated personal control over developing diabetes. Significant comparisons between higher and lower risk respondents were observed only with the optimistic bias subscale.

Determinants of the use of a diabetes risk-screening test.

A study was designed to investigate why people do or do not make use of a diabetes risk test developed to facilitate the timely diagnosis of diabetes. Data were collected using a web-based questionnaire, which was based on the Health Belief Model, the Theory of Planned Behavior, and the Threatening Medical Situations Inventory. People who had and had not used the risk test were recruited to complete the survey. The sample consisted of 205 respondents: 44% who had used the test and 56% who had not. The hypothesized relationships between the dependent variable (diabetes risk test use) and the determinants used in this study were tested using logistic regression analysis. Only two significant predictors of diabetes risk test use were found: gender and barriers. More women than men use the test. Furthermore, people who experience more barriers will be less inclined to use the test. The contribution of diabetes screening tests fully depends on people’s willingness to use them. To optimize the usage of such test, it is especially important to address the barriers as perceived by the public. Two types of barriers must be addressed: practical barriers (time to take the test, fear of complexity of the test), and consequential barriers (fear of the disease and treatment, uncertainties about where to go in the case of an increased risk of diabetes).