P-65 Population-based incidence rate of Type 2 diabetes and its associated risk factors: The Tehran Lipid and Glucose study

Abstract Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.

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APPLYING DECISION TREE FOR DETECTION OF A RISK FACTORS FOR TYPE 2 DIABETES: A POPULATION BASED STUDY

Acta healthmedica ◽

10.19082/ah138 ◽

2017 ◽

Vol 2 (1) ◽

pp. 138-138

Author(s):

Maryam Tayefi ◽

Habibollah Esmaeily ◽

Majid Ghayour-Mobarhan ◽

Ali Reza Amirabadi zadeh

Keyword(s):

Risk Factors ◽

Type 2 Diabetes ◽

Decision Tree ◽

Population Based ◽

Population Based Study

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Abstract P057: Clusters of Cardiovascular Risk Factors Predict Incidence of Type 2 Diabetes in Men and Women: A Swedish Population-based Study

Circulation ◽

10.1161/circ.133.suppl_1.p057 ◽

2016 ◽

Vol 133 (suppl_1) ◽

Author(s):

Charlotte A Larsson ◽

Bledar Daka ◽

Margareta I Hellgren ◽

Maria C Eriksson ◽

Lennart Råstam ◽

...

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Type 2 Diabetes ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Population Based ◽

Population Based Study ◽

Men And Women ◽

Self Rated Health

Introduction: Clusters of metabolic variables and their effects on incidence of type 2 diabetes have been studied previously; however, little is known about the effects on diabetes from risk factor clusters including lifestyle and self-rated health. Hypothesis: We assessed the hypothesis that clusters of common cardiovascular risk factors, including lifestyle and self-rated health, can predict development of type 2 diabetes in men and women, respectively. Methods: In 2002-2005, 2816 men and women, 30-74 years, were randomly selected from two municipalities in southwestern Sweden and assessed with regard to cardiovascular/metabolic risk factors within the Skaraborg Project (76% participation). Participants performed an OGTT, had blood samples drawn, had anthropometric measurements and blood pressure taken, and answered validated questionnaires about e.g. leisure-time physical activity (with four answer alternatives from intensive to sedentary) and self-rated health (with five alternatives from excellent to very poor). Using the same protocol, 1332 participants from the baseline survey where re-examined in 2011-2014. After excluding those with diabetes at baseline, 1268 participants were included in this prospective population-based study. Results: Factor analysis (using varimax rotation) identified significant loadings (≥0.40) on the following three identical factors in men and women: the metabolic factor , comprising HOMA-ir, WHR, systolic blood pressure, and apolipoprotein B-to-A1 ratio; the vitality factor , comprising physical activity and self-rated health; and the addiction factor , comprising smoking and alcohol consumption. After a mean follow-up of 9.7±1.4 years, 76 cases of diabetes were identified; 46 in men and 30 in women. In a logistic regression analysis adjusted for all principal components, age, and educational level, the metabolic factor significantly predicted type 2 diabetes in both men (OR: 3.3, CI: 2.3-5.0) and women (OR: 3.5, CI: 2.2-5.6). Furthermore, a predictive effect of the vitality factor was also seen in women (OR: 1.8, CI: 1.2-2.9), but not in men (OR: 1.1, CI: 0.8-1.6), whereas the addiction factor had no effect in either men or women. Conclusions: This is to our knowledge the first time principle components of cardiovascular risk factors, including both metabolic and lifestyle variables, have been used to predict incidence of type 2 diabetes. The gender difference observed with regard to the combined impact of self-rated health and physical activity are novel and indicates a mechanism beside the metabolic syndrome that warrants further gender-specific exploration in future studies.

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The burden of inadequately controlled risk factors for type 2 diabetes in Hong Kong: a population-based modelling study

10.26226/morressier.617c37317c09fc044a975232 ◽

2021 ◽

Author(s):

Jianchao Quan

Keyword(s):

Risk Factors ◽

Type 2 Diabetes ◽

Hong Kong ◽

Population Based ◽

Modelling Study

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Evaluation of Metabolic Syndrome and Its Associated Risk Factors in Type 2 Diabetes: A Descriptive Cross-Sectional Study at the Komfo Anokye Teaching Hospital, Kumasi, Ghana

BioMed Research International ◽

10.1155/2019/4562904 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8 ◽

Cited By ~ 7

Author(s):

Francis Agyemang-Yeboah ◽

Benjamin Ackon Jnr. Eghan ◽

Max Efui Annani-Akollor ◽

Eliezer Togbe ◽

Sampson Donkor ◽

...

Keyword(s):

Risk Factors ◽

Type 2 Diabetes ◽

Metabolic Syndrome ◽

Waist Circumference ◽

Teaching Hospital ◽

The Body ◽

Diabetic Patients ◽

Study Population ◽

Associated Risk Factors

Background. Metabolic syndrome (MS) is a collection of cardiovascular risk factors comprising insulin resistance, dyslipidemia, obesity, and hypertension, which may cause further complications in diabetes. Although metabolic syndrome (MS) is increasing in incidence in diabetics and leading to significant cardiovascular diseases and mortality, there is dearth of data in Ghana. This study investigated metabolic syndrome, its prevalence, and its associated risk factors in type 2 diabetes at the Komfo Anokye Teaching Hospital, Kumasi, Ghana. Methods. The study involved 405 diabetic patients attending the Diabetic Clinic of the Komfo Anokye Teaching Hospital (KATH) Kumasi, in the Ashanti Region of Ghana. A well-structured questionnaire was used to obtain demographic background such as their age and gender. Anthropometric measurements were obtained using the Body Composition Monitor (Omron ® 500, Germany) which generated digital results on a screen and also by manual methods. Fasting venous blood was collected for the measurement of biochemical parameters comprising fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-c), and triglyceride (TG). Metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III). Results. Out of the total of 405 participants, 81 were males and 324 were females, and the estimated mean age was 58.5 ± 9.9 years. The female patients exhibited higher mean waist circumference (WC) and mean hip circumference (HC) as well as an approximately higher body mass index than males (28.3 ± 5.1, 26.5 ± 4.2 for the female and male respectively). Overall, the prevalence of metabolic syndrome observed among the study population was 90.6%. Conclusions. The prevalence of metabolic syndrome observed among the study population was 90.6%, with a higher percentage in females than males. High triglyceride levels and high waist circumference were the main risk factors for MS in the diabetic population.

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Cardiovascular Event Risk in Rheumatoid Arthritis Compared with Type 2 Diabetes: A 15-year Longitudinal Study

The Journal of Rheumatology ◽

10.3899/jrheum.180726 ◽

2019 ◽

Vol 47 (3) ◽

pp. 316-324 ◽

Cited By ~ 1

Author(s):

Rabia Agca ◽

Luuk H.G.A. Hopman ◽

Koen J.C. Laan ◽

Vokko P. van Halm ◽

Mike J.L. Peters ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Risk Factors ◽

Type 2 Diabetes ◽

Incidence Rate ◽

Cvd Risk ◽

Cardiovascular Research ◽

Number Of Patients ◽

Cv Disease ◽

Reference Cohort

Objective.Cardiovascular (CV) disease (CVD) risk is increased in rheumatoid arthritis (RA). However, longterm followup studies investigating this risk are scarce.Methods.The CARRÉ (CARdiovascular research and RhEumatoid arthritis) study is a prospective cohort study investigating CVD and its risk factors in 353 patients with longstanding RA. CV endpoints were assessed at baseline and 3, 10, and 15 years after the start of the study and are compared to a reference cohort (n = 2540), including a large number of patients with type 2 diabetes (DM).Results.Ninety-five patients with RA developed a CV event over 2973 person-years, resulting in an incidence rate of 3.20 per 100 person-years. Two hundred fifty-seven CV events were reported in the reference cohort during 18,874 person-years, resulting in an incidence rate of 1.36 per 100 person-years. Age- and sex-adjusted HR for CV events were increased for RA (HR 2.07, 95% CI 1.57–2.72, p < 0.01) and DM (HR 1.51, 95% CI 1.02–2.22, p = 0.04) compared to the nondiabetic participants. HR was still increased in RA (HR 1.82, 95% CI 1.32–2.50, p < 0.01) after additional adjustment for CV risk factors. Patients with both RA and DM or insulin resistance had the highest HR for developing CVD (2.21, 95% CI 1.01–4.80, p = 0.046 and 2.67, 95% CI 1.30–5.46, p < 0.01, respectively).Conclusion.The incidence rate of CV events in established RA was more than double that of the general population. Patients with RA have an even higher risk of CVD than patients with DM. This risk remained after adjustment for traditional CV risk factors, suggesting that systemic inflammation is an independent contributor to CV risk.

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