Determinants of Adherence to Diabetes Screening in Iranian Adults With a Positive Family History of Diabetes

The association between sociodemographic characteristics, clinical indicators and body mass index in a population at risk of type 2 diabetes: A cross-sectional study in two Colombian cities

AIMS

To assess the association between sociodemographic and clinical factors with body mass index (BMI) in a population at risk of type 2 diabetes (T2D) in Bogotá and Barranquilla, Colombia.

METHODS

This cross-sectional study used data from the PREDICOL Study. Participants with a FINDRISC ≥ 12 who underwent an Oral Glucose Tolerance Test (OGTT) were included in the study (n=1166). The final analytical sample size was 1101 participants. Those with missing data were excluded from the analysis (n=65). The main outcome was body mass index (BMI), which was categorized as normal, overweight, and obese. We utilized unadjusted and adjusted ordinal logistic regression analysis to calculate odds ratios (OR) and 95 % confidence intervals (CI).

RESULTS

The prevalence of overweight and obesity was 41 % (n=449) and 47 % (n=517), respectively. Participants with a 2-hour glucose ≥139 mg/dl had 1.71 times higher odds of being overweight or obese (regarding normal weight) than participants with normal 2-hour glucose values. In addition, being a woman, waist circumference altered, and blood pressure >120/80 mmHg were statistically significantly associated with a higher BMI.

CONCLUSION

Strategies to control glycemia, blood pressure, and central adiposity are needed in people at risk of T2D. Future studies should be considered with a territorial and gender focus, considering behavioral, and sociocultural patterns.

Socio-personal factors affecting adherence to treatment in patients with type 2 diabetes: A systematic review and meta-analysis

PURPOSE

The purpose of study was to identify the socio-personal factors affecting adherence to the treatment of patients with type 2 diabetes.

METHODS

Cross-sectional articles were extracted from databases such as Web of Science, PubMed, Elsevier. A meta-analysis was performed using integrated odds ratios (OR) and 95% confidence interval (CIs) for age, BMI, depression, educational level, gender, employment status, marital status, smoking status. STATA 12.0 was used to estimate pooled RR in definite subgroups. The quality of the studies included was evaluated using the STROBE checklist.

RESULTS

Thirty-one studies out of 7407 extracted articles were finally selected for the meta-analysis. The results showed that younger people had a 17% higher risk than older people, smokers had a 22% higher risk than non-smokers, and the employed had a 15% higher risk of non-adherence to treatment.

CONCLUSION

In conclusion, older age, smoking and employment can lead to non-adherence to T2D treatment. Interventions are suggested to be made besides common health care considering the socio-personal features on type 2 diabetes patients' treatment adherence.

Clinical traits and systemic risks of familial diabetes mellitus according to age of onset and quantity: an analysis of data from the community-based KoGES cohort study

OBJECTIVES

The aim of this study was to clarify the clinical trait of familial diabetes mellitus (DM) by analyzing participants' risk of DM according to the age of DM onset in parents and siblings, and to evaluate individuals' risk of DM-associated cardiometabolic diseases.

METHODS

Altogether, 211,173 participants aged ≥40 years from the Korean Genome and Epidemiology Study were included in this study. The participants were divided into groups based on the number (1 or 2 relatives) and age of onset (no DM and early, common, or late onset) of familial DM. Participants' risk of DM was assessed using a Cox regression model with hazard ratios and 95% confidence intervals (CIs). A logistic regression model with odds ratios was used to evaluate associations among the participants' likelihood of acquiring cardiometabolic diseases such as hypertension, chronic kidney disease (CKD), and cardiovascular disease.

RESULTS

The risk of developing DM was 2.02-fold (95% CI, 1.88 to 2.18) and 2.88-fold (95% CI, 2.50 to 3.33) higher, respectively, in participants with 1 and 2 family members diagnosed with familial DM. It was 2.72-fold (95% CI, 2.03 to 3.66) higher in those with early-onset familial DM. In the early-onset group, the respective risks of hypertension and CKD were 1.87-fold (95% CI, 1.37 to 2.55) and 4.31-fold (95% CI, 2.55 to 7.27) higher than in the control group.

CONCLUSIONS

The risk of DM and related cardiometabolic diseases was positively associated with the number of family members diagnosed with DM and an early diagnosis in family members with DM.

Association between a family history of diabetes and carotid artery atherosclerosis in Korean adults

OBJECTIVES

Diabetes is a well-known risk factor for atherosclerosis, but the association between a family history of diabetes and atherosclerosis remains unknown. In this study, we assessed the association between a family history of diabetes and increased carotid intima-media thickness (IMT), a marker of subclinical atherosclerosis, in a middle-aged Korean population.

METHODS

This cross-sectional study included 3,974 community-dwelling adults (1,404 male and 2,570 female) aged 30-64 years from the Cardiovascular and Metabolic Diseases Etiology Research Center cohort. The presence of a family history of diabetes was assessed through face-to-face interviews using a standardized questionnaire. Carotid IMT was assessed using B-mode ultrasonography, and increased IMT was defined as a value in the top quartile of the IMT values of all participants. Multivariate logistic regression was used to evaluate independent associations between a family history of diabetes and increased IMT.

RESULTS

A family history of diabetes was significantly associated with increased carotid IMT (odds ratio, 1.23; 95% confidence interval, 1.03 to 1.48) after adjusting for sex; age; body mass index; systolic blood pressure; total cholesterol, triglyceride, and hemoglobin A1c levels; smoking; alcohol consumption; exercise; use of antidiabetic, antihypertensive, and antilipidemic drugs; and a family history of hypertension. The positive association remained significant after excluding participants with diabetes (odds ratio, 1.21; 95% confidence interval, 1.00 to 1.47).

CONCLUSIONS

A family history of diabetes was positively associated with increased carotid IMT, even in participants without diabetes. Therefore, information on a family history of diabetes may help identify individuals at high risk of atherosclerotic cardiovascular disease.