The magnitude of type 2 diabetes mellitus and cardiovascular disease risk factors among young adults in urban settings: a cross-sectional survey in Mwanza, Tanzania

The burden of prediabetes in low- and middle-income countries: a systematic review and meta-analysis

The global burden of diabetes is rising sharply, with a significant proportion of cases emerging in low- and middle-income countries (LMICs). Prediabetes, a condition characterized by elevated blood glucose levels that do not yet meet the threshold for diabetes, serves as a crucial stage for intervention and prevention. Despite its importance, comprehensive data on prediabetes prevalence in LMICs are sparse. Thus, we conducted a systematic review and meta-analysis to ascertain the prevalence of prediabetes in LMICs. We systematically reviewed studies on prediabetes in Low- and Middle-Income Countries (LMICs) from 1st January 2003 and 31st July 2024 using PubMed, Scopus, and Web of Science databases. The NIH study quality assessment tool assessed bias, and pooled prevalence was determined via a random-effects model. We examined publication bias through funnel plot analysis and Begg's and Egger's tests. The prevalence of prediabetes estimated from 164 studies conducted in LMICs was 13.1% (95% CI: 11.7%, 14.5%) based on the World Health Organization (WHO) criteria, and 27.0% (95% CI: 24.5%, 29.5%) based on the American Diabetes Association (ADA) criteria. The pooled prevalence did not significantly differ between males and females for both diagnostic criterias and by study design. The analysis indicated a noteworthy degree of heterogeneity in the pooled estimates (I2 > 70%; p < 0.05). The findings from this study indicated a higher burden of prediabetes within LMICs with regional variations.

The interaction between general or abdominal obesity and hypertension on the risk of type 2 diabetes mellitus: a cross-sectional analysis in Iranian adults from the RaNCD cohort study

BACKGROUND

Interactions between risk factors may influence disease severity. Knowing this relationship is important for preventive interventions and disease control. The purpose of this study was to determine the interactions effects of obesity and hypertension on the risk of type 2 diabetes mellitus (T2DM).

METHODS

The data of 9,283 adults 35 to 65 years were examined from the cohort study of Ravansar Non-Communicable Disease (RaNCD). Waist circumference (WC) was used to identify both general and abdominal obesity based on body mass index (BMI). To assess the interaction between hypertension and obesity (general/abdominal) and the risk of T2DM, the additive interaction was calculated.

RESULTS

The adjusted odds ratios for T2DM were 2.38 (1.67, 3.41) in men and 4.02 (2.47, 6.47) in women for the combinations of hypertension and abdominal obesity. The adjusted odds ratios for T2DM were 2.53 (1.63, 3.82) in men and 2.66 (1.92, 3.70) in women for the combinations of hypertension and general obesity. The results of the additive interaction indicators were inconsistent with gender. The relative excess risk due to interaction (interaction between hypertension and central obesity) (RERI), attributable proportion due to interaction (AP) and synergy index (SI) were0.27 (-1.01, 1.54), 0.11 (-0.41, 0.63) and 1.23 (0.41, 3.68) in male and were 0.61 (-1.12, 2.33), 0.23 (0.08, 0.37) and 1.26 (0.60, 2.61) in female, respectively.

CONCLUSION

General/abdominal obesity and hypertension have a synergistic effect on the risk of T2DM. The recommendation for preventing T2DM is lifestyle modification. Large longitudinal studies are necessary to investigate causal relationships.

Low medication adherence and its associated factors among patients with type 2 diabetes mellitus attending Amana Hospital in Dar es Salaam, Tanzania: a cross-sectional study

BACKGROUND

Low medication adherence among patients with type 2 diabetes mellitus (T2DM) is associated with significant morbidity and mortality globally. We investigated the prevalence of low medication adherence and its associated factors among patients with T2DM.

METHODS

We used the Bengali version of the 8-item Morisky Medication Adherence Scale (MMAS-8) in measuring medication adherence among patients with T2DM who were attending the diabetes clinic at Amana Regional Referral Hospital in Dar es Salaam, Tanzania, from December 2021 to May 2022. Binary logistic regression analysis under multivariate analysis was used to determine the predictors of low medication adherence after controlling for confounders. A two-tailed p-value <0.05 was considered significant.

RESULTS

The prevalence of low medication adherence was 36.7% (91/248) of the subjects included in the study. Lack of formal education (adjusted odds ratio [AOR] 5.3 [95% confidence interval {CI} 1.717 to 16.312], p=0.004), having comorbidities (AOR 2.1 [95% CI 1.134 to 3.949], p=0.019) and drinking alcohol (AOR 3.5 [95% CI 1.603 to 7.650], p=0.031) were the independent predictors of low medication adherence.

CONCLUSION

More than one-third of the patients with T2DM in this study had low medication adherence. Our study also showed that a lack of formal education, having comorbidities and drinking alcohol were significantly associated with low medication adherence.

Predictors of microvascular complications in patients with type 2 diabetes mellitus at regional referral hospitals in the central zone, Tanzania: a cross-sectional study

Microvascular complications encompass a group of diseases which result from long-standing chronic effect of diabetes mellitus (DM). We aimed to determine the prevalence of microvascular complications and associated risk factors among patients with type 2 diabetes mellitus (T2DM). A cross-sectional analytical hospital-based study was conducted at Singida and Dodoma regional referral hospitals in Tanzania from December 2021 to September 2022. A total of 422 patients with T2DM were included in the analysis by determining the prevalence of microvascular complications and their predictors using multivariable logistic regression analysis. A two-tailed p value less than 0.05 was considered statistically significant. The prevalence of microvascular complications was 57.6% (n = 243) and diabetic retinopathy was the most common microvascular complication which accounted for 21.1% (n = 89). Having irregular physical activity (AOR = 7.27, 95% CI = 2.98-17.71, p < 0.001), never having physical activity (AOR = 2.38, 95% CI = 1.4-4.01, p = 0.013), being hypertensive (AOR = 5.0, 95% CI = 2.14-11.68, p = 0.030), having T2DM for more than 5 years (AOR = 2.74, 95% CI = 1.42-5.26, p = 0.025), being obese (AOR = 2.63, 95% CI = 1.22-5.68, p = 0.010), and taking anti-diabetic drugs irregularly (AOR = 1.94, 95% CI = 0.15-0.77, p < 0.001) were the predictors of microvascular complications. This study has revealed a significant proportion of microvascular complications in a cohort of patients with T2DM. Lack of regular physical activity, being obese, taking anti-diabetic drugs irregularly, presence of hypertension, and long-standing duration of the disease, were significantly associated with microvascular complications.

Type 2 Diabetes Mellitus in Tanzania. A Narrative Review of Epidemiology and Disease Trend

INTRODUCTION

The prevalence of type 2 diabetes is on a rapid rise in Tanzania, driven by lifestyle modifications, nutritional changes, and increased obesity rates. This article reviews the epidemiology, and disease trends of type 2 diabetes in Tanzania and explores the economic implications and challenges in care, including policy, education, and healthcare systems.

METHODOLOGY

The study employs a narrative literature review from research articles, local healthcare reports, surveys, and public health records. It evaluates the economic impacts, healthcare capabilities, and patient behaviors in managing type 2 diabetes in Tanzania.

RESULTS

The economic burden of diabetes in Tanzania is increasing due to direct healthcare costs, lost productivity, and reduced quality of life, placing significant pressure on the already resourcelimited healthcare system. Treatment dropout rates are alarmingly high, and healthcare providers' knowledge of diabetes is insufficient. Insulin and metformin availability are critically low. Cultural norms and dietary habits pose substantial barriers to effective disease management.

CONCLUSION

The growing prevalence of type 2 diabetes in Tanzania presents a significant public health crisis, necessitating comprehensive strategies for prevention, early detection, and effective disease management. Priorities should include enhancing healthcare infrastructure, increasing public investment, improving healthcare education, and tackling socio-cultural barriers to disease management.

Clinical observation of femtosecond laser-assisted cataract surgery for diabetic cataract

OBJECTIVE

To observe the clinical efficacy of femtosecond laser-assisted cataract surgery (FLACS) for diabetic cataract (DC).

METHODS

One hundred and seven cases of DC admitted between August 2018 and August 2021 were enrolled, and their clinical data were retrospectively analyzed. Of them, 53 cases treated with conventional phacoemulsification (Phaco) cataract surgery (CPS) were set as the control group (the Con) and 54 cases receiving FLACS were set as the observation group (the Obs). Clinical data such as effective phaco time (EPT), color doppler energy (CDE), best corrected visual acuity (BCVA), visual quality, corneal endothelial cell (CEC) count (CECC), and complication rate were compared and analyzed. Finally, multivariate Cox regression analysis was performed to analyze the prognostic factors based on the incidence of complications in DC patients.

RESULTS

The Obs had significantly lower EPT and CDE compared to the Con, as well as markedly elevated BCVA and visual quality at one month after operation compared to the preoperative levels and the Con. The CECC of the Obs differed insignificantly from that before surgery and was higher versus the Con. Moreover, the incidence of postoperative complications (corneal edema, fibrin exudation, pigment dispersion, and posterior synechia of the iris) was lower in the Obs. Moreover, the treatment method was an independent prognostic factor affecting the prognosis of DC patients.

CONCLUSIONS

The above analysis suggests the superior efficacy of FLACS to CPS for DC, as it can more significantly reduce EPT, CDE, CEC loss, and the incidence of postoperative complications with a positive effect on improving BCVA, visual quality, and patient prognosis.

The Effect of the Interaction between Abnormal Body Mass Index and Hypertension on the Risk of Type 2 Diabetes

OBJECTIVE

Many patients with type 2 diabetes have an abnormal body mass index (BMI) and hypertension together, but few studies on the interaction of the two on the risk of T2DM are reported. We aim to explore the effect of the interaction between abnormal BMI and hypertension on the risk of type 2 diabetes mellitus (T2DM) in Uyghur residents.

METHODS AND RESULTS

Based on the physical examination data of 27,4819 Uygur residents in Moyu County, a logistic regression model was used to analyze the correlation between BMI abnormality, hypertension, and T2DM disease, and then, the effect of their interaction on the risk of T2DM was evaluated by an additive model and a multiplicative model. The results showed that the detectable rate of T2DM was 5.58%, the proportion of abnormal BMI was 59.49%, and the proportion of hypertension was 25.14%. The risk of T2DM in people with an abnormal BMI and hypertension was higher than that in people with a normal weight and without hypertension, and the difference was statistically significant (P < 0.05). The additive model showed that after adjusting for confounding factors such as gender, age, family history of diabetes, abdominal obesity, and alcohol consumption, abnormal BMI and hypertension had a synergistic effect on the risk of T2DM and the evaluation indicators RERI, AP, and S were 0.90 (0.32∼1.49), 0.20 (0.11∼0.30), and 1.36 (1.17∼1.57), respectively. But there was no multiplicative interaction between the two (OR = 0.97, (95% CI: 0.89∼1.06). 3).

CONCLUSION

The interaction between abnormal BMI and hypertension can increase the risk of T2DM, and improving BMI and controlling blood pressure within the normal range can effectively reduce the risk of T2DM.