Association of diabetes with living area in Iranian women

Prevalence of prediabetes, diabetes, diabetes awareness, treatment, and its socioeconomic inequality in west of Iran

We aim to estimate the prevalence of prediabetes, and diabetes mellitus (DM). We estimated awareness, treatment, plasma glucose control, and associated factors in diabetes, as well as, socioeconomic-related inequality in the prevalence of diabetes and prediabetes. Data for adults aged 35-70 years were obtained from the baseline phase of the Dehgolan prospective cohort study (DehPCS). Diabetes status was determined as fasting plasma glucose (FPG) of ≥ 126 mg/dl and/or taking glucose lowering medication confirmed by a medical practitioner. Prediabetes was considered as 100 ≤ FPG ≤ 125 mg/dl. The relative concentration index (RCI) was used to exhibit socioeconomic inequality in the prevalence of prediabetes and DM. Prevalence of prediabetes and DM, diabetes awareness and treatment, and glycemic control of DM 18.22%, 10.00%, 78.50%, 68.91% and, 28.50%, respectively. Increasing age (p < 0.001), Increasing body mass index (BMI) (p < 0.05), ex-smoker (p < 0.01), family history of diabetes (FHD) (p < 0.001), and comorbidity (p < 0.001) were independent risk factors for DM. Age group of 46-60 (p < 0.05), ex-smoker (p < 0.05), FHD (p < 0.05) were increased chance of awareness. Current smokers (p < 0.05), and higher education increase the chance of glycemic control in DM. Both DM (RCI =  - 0.234) and prediabetes (RCI =  - 0.122) were concentrated significantly among less-educated participants. DM was concentrated significantly among poor (RCI =  - 0.094) people. A significant proportion of DM awareness and treatment can be due to the integration of diabetes into the primary health care system. The high prevalence of prediabetes and diabetes, which is affected by socioeconomic inequality and combined with low levels of glycemic control may place a greater burden on the health system. Therefore, awareness, receiving treatment, and glycemic control in people with diabetes, and the socioeconomic status of people have become increasingly important in the near future.

Global socioeconomic inequality in the burden of communicable and non-communicable diseases and injuries: an analysis on global burden of disease study 2019

BACKGROUND

Examining the distribution of the burden of different communicable and non-communicable diseases and injuries worldwide can present proper evidence to global policymakers to deal with health inequality. The present study aimed to determine socioeconomic inequality in the burden of 25 groups of diseases between countries around the world in 2019.

METHODS

In the current study data according to 204 countries in the world was gathered from the Human Development Report and the Global Burden of Diseases study. Variables referring to incidence, prevalence, years of life lost (YLL), years lived with disability (YLD) and disability adjusted life years (DALY) resulting by 25 groups of diseases and injuries also human development index was applied for the analysis. For measurement of socioeconomic inequality, concentration index (CI) and curve was applied. CI is considered as one of the popular measures for inequality measurement. It ranges from - 1 to + 1. A positive value implies that a variable is concentrated among the higher socioeconomic status population and vice versa.

RESULTS

The findings showed that CI of the incidence, prevalence, YLL, YLD and DALY for all causes were - 0.0255, - 0.0035, - 0.1773, 0.0718 and - 0.0973, respectively. CI for total Communicable, Maternal, Neonatal, and Nutritional Diseases (CMNNDs) incidence, prevalence, YLL, YLD and DALY were estimated as - 0.0495, - 0.1355, - 0.5585, - 0.2801 and - 0.5203, respectively. Moreover, estimates indicated that CIs of incidence, prevalence, YLL, YLD and DALY for Non-Communicable Diseases (NCDs) were 0.1488, 0.1218, 0.1552, 0.1847 and 0.1669, respectively. Regarding injuries, the CIs of incidence, prevalence, YLL, YLD and DALY were determined as 0.0212, 0.1364, - 0.1605, 0.1146 and 0.3316, respectively. In the CMNNDs group, highest and lowest CI of DALY were related to the respiratory infections and tuberculosis (- 0.4291) and neglected tropical diseases and malaria (- 0.6872). Regarding NCDs, the highest and lowest CI for DALY is determined for neoplasms (0.3192) and other NCDs (- 0.0784). Moreover, the maximum and minimum of CI of DALY for injuries group were related to the transport injuries (0.0421) and unintentional injuries (- 0.0297).

CONCLUSIONS

The distribution of all-causes and CMNNDs burden were more concentrated in low-HDI countries and there are pro-poor inequality. However, there is a pro-rich inequality for NCDs' burden i.e. it was concentrated in high-HDI countries. On the other hand, the concentration of DALY, YLD, prevalence, and incidence in injuries was observed in the countries with higher HDI, while YLL was concentrated in low-HDI countries.

A Population-Based Survey to Determine Association of Perceived Social Support and Self-Efficacy With Self-Care Among Elderly With Diabetes Mellitus (Kerman City, Iran)

This survey examined association between social support and self-efficacy with self-care in elderly with diabetes. A total of 374 subjects were identified in Kerman city, Iran who responded to questionnaires on self-care, social support, and self-efficacy. Data were analyzed by using SPSS. Along with customary descriptive statistics, we also determined group difference for self-care, and Pearson correlation, and prediction value of various variables by using hierarchical multiple regression. And 67.37% of subjects were classified as poor adherence to self-care; 55.9% patients reportedly had good foot care habits, while 68.4% patients were not taking adequate physical activity. There was a significant correlation between self-care with social support and self-efficacy. Independent variables accounted for 44.3% of the variance in self-care. Diabetes care programs should aim to implement (a) weekly free-of-cost mass physical activity programs, (b) mass education adapted for gender- and age-based needs, and

Diabetes Mellitus in Outpatients in Debre Berhan Referral Hospital, Ethiopia

INTRODUCTION

Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or both. Most people with diabetes live in low- and middle-income countries and these will experience the greatest increase in cases of diabetes over the next 22 years.

OBJECTIVE

To assess the prevalence and associated factors of diabetes mellitus among outpatients of Debre Berhan Referral Hospital.

METHODS AND MATERIALS

A cross-sectional study was conducted from April to June 2015 among 385 patients. Random quota sampling technique was used to get individual patients and risk factors assessment. Patients diabetes status was ascertained by World Health Organization Diabetes Mellitus Diagnostic Criteria. The collected data were entered, cleaned, and analyzed and Chi-square test was applied to test any association between dependent and independent variable. Result. Out of the total 385 study patients, 368 have participated in the study yielding a response rate of 95.3%. Concerning clinical presentation of diabetes mellitus, 13.3% of patients reported thirst, 14.4% of patients declared polyurea, and 14.9% of patients ascertained unexplained weight loss. The statistically significant associated factors of diabetes mellitus were hypertensive history, obesity, the number of parities, and smoking history.

CONCLUSION

The prevalence of diabetes mellitus among outpatients in Debre Berhan Referral Hospital was 0.34% and several clinical and behavioral factors contribute to the occurrence of diabetes mellitus which impose initiation of preventive, promotive, and curative strategies.

Socioeconomic inequalities and diabetes: A systematic review from Iran

Socioeconomic factor is a determinant of health may contribute to diabetes. We conducted a systematic review to summarizing evidences on associations between socioeconomic factors and diabetes in Iranian population. We systematically searched international databeses; ISI, PubMed/Medline, Scopus, and national databases Iranmedex, Irandoc, and Scientific Information Database (SID) to retrieve relevant articles to socioeconomic factors and diabetes without limitation on time. All identified articles were screened, quality assessed and data extracted by two authors independently. From 74 retrieved articles, 15 cases were relevant. We found increased diabetes prevalence among female sex, over 50 years' old age, illiterate population, retired status, unemployed, urban residents, and low economic status. There was a negative association between social capital and diabetes control. Diabetes complications were more frequent in upper age group, higher education levels and low income populations. Socioeconomic factors were associated with diabetes that leads to inequality. Improving modifiable factors through priority based interventions helps to diabetes prevention and control.

Diabetes in the Middle East and North Africa

AIMS

Even though the Middle East and North Africa (MENA) region had the highest comparative prevalence of diabetes in 2012, little is known about the nuances of diabetes risk and capacity to address the burdens. To provide a comprehensive overview, we reviewed the literature on diabetes in the MENA region.

METHODS

We conducted a systematic search in PubMed between January 1990 and January 2012 for studies on diabetes in the MENA region without language restriction.

RESULTS

There was a paucity of country-specific epidemiology data in the region. Diabetes prevalence varied widely across studies, from 2.5% in 1982 to 31.6% in 2011. Older age and higher body mass index were the most strongly associated risk factors for diabetes. Among people with diabetes, over half did not meet recommended care targets. In addition, macrovascular and microvascular complications were observed in 9-12% and 15-54% of diabetes population, respectively.

CONCLUSIONS

This review suggests a need for more representative surveillance data in this noteworthy focal point of the global diabetes epidemic. Such actions will not only help to understand the actual burden of diabetes but also motivate actions on design and implementation of diabetes prevention and control programs.