BMC Endocrine Disorders最新文献

Background: The impact of night shift work on the incidence of type 2 diabetes mellitus (T2DM) is not well understood. This meta-analysis assesses the association between night shift work and the risk of developing T2DM and explores this relationship across various subgroups.

Methods: We systematically searched PubMed, Web of Science, EBSCO, and the Cochrane Library from their inception until February 2024. We employed hazard ratios (HR) and 95% confidence intervals (95%CI) to quantify the association between night shift work and T2DM risk.

Results: Our analysis synthesized data from 9 articles encompassing 10 cohort studies. Overall, night shift workers exhibited a 30% increased incidence of T2DM compared to their daytime counterparts (HR = 1.30, 95% CI: [1.18, 1.43], P < 0.001). Among females, night shift workers had a higher incidence of T2DM (HR = 1.28, 95% CI: [1.16, 1.41]); however, in males, the association was not statistically significant (95% CI: [0.89, 2.63]). For individuals with a body mass index (BMI) > 30 kg/m², night shift work was associated with an increased T2DM risk (HR = 1.14, P = 0.007), whereas there was no significant association for those with a BMI ≤ 30 kg/m² (P = 0.255). Further, the risk of T2DM increased with longer durations of night shift work; workers with more than 10 years of night shift work faced a higher T2DM risk than those with 10 years or fewer (HR for > 10 years = 1.17, 95% CI: [1.10, 1.24]; HR for ≤ 10 years = 1.06, 95% CI: [1.03, 1.10]).

Conclusion: Findings suggest potential link between night shift work and T2DM risk. Longer durations of night shift work may increase the risk of T2DM. There may be gender differences (greater harm in women, but the male sample size is small) and obesity differences.

Background: The global health concern regarding the low prevalence of diagnosed diabetes mellitus (DDM) is evident, but the prevalence of DDM is increasing. This is attributed to the frequent underestimation of undiagnosed diabetes mellitus (UDM). Given the limited research on this matter in Bangladesh, there is a need to investigate sex differences in both the prevalence and risk factors of DDM among Bangladeshi adults.

Methods: This study utilizes the latest data from the Bangladesh Demographic and Health Survey (BDHS) conducted between 2017 and 2018, involving 11,911 adult participants. The research focuses on exploring sex-specific differences in the prevalence of diagnosed diabetes mellitus (DDM) and undiagnosed diabetes mellitus (UDM). Multinomial logistic regression models are applied to examine the sex effect after adjusting socio-demographic, household, and community-related factors associated with these conditions.

Results: In the group of 5127 (43%) males, the prevalence of diagnosed diabetes mellitus (DDM) and undiagnosed diabetes mellitus (UDM) stood at 344 (7%) and 94 (2%), respectively. Among 6784 (57%) females, these figures were slightly lower at 424(6%) for DDM and 138 (2%) for UDM. In males aged 30-39, UDM exhibited significantly (RRR: 6.83, 95% CI: 2.01-23.18), associations, in contrast to the nonsignificant association observed for DDM. Unemployed female had a high risk of diagnosed (RRR: 1.28, 95% CI: 1.02-1.6) and undiagnosed (RRR: 1.52, 95% CI: 1.01-2.31) diabetes. Age, hypertension, wealth, overweight status, and residing in Dhaka had significant relationship with DDM and UDM for both males and females.

Conclusions: This study reveals that diabetes prevalence in Bangladesh is influenced by various risk factors, with distinct impacts on men and women. Women living in Dhaka who are unemployed are at a significantly higher risk of both diagnosed and undiagnosed diabetes compared to men. To effectively combat the rising diabetes rate, we must implement targeted interventions that address these sex-specific disparities. These interventions should focus on age, wealth, regional variations, and especially on unemployed women in Dhaka, considering their heightened risk.

Background: Reninoma is a rare cause of secondary hypertension, which can be cured with surgery if identified early before any target organ damage occurs. It leads to hypokalaemia and hypertension and typically responds well to treatment with renin-angiotensin-aldosterone system blockers. However, confirmation of the diagnosis and the localisation of this rare culprit lesion can be challenging.

Case presentation: We describe a case of young-onset hypertension in a 19-year-old girl due to a reninoma. She had resistant hypertension with marked hypokalaemia, which required exceedingly high doses of potassium supplements. Biochemical Investigations revealed secondary hyperaldosteronism. Thus, she underwent a renal angiogram to exclude a renovascular cause for her hypertension. While the renal artery anatomy was normal, there was an exophytic renal lesion in the lower pole of the left kidney. Hence, the diagnosis of a reninoma was suspected. She underwent renal vein sampling to confirm the functionality of the detected tumour, but the results were inconclusive. After a multidisciplinary discussion, based on the clinical evidence, the renal lesion was thought to be a reninoma and a partial nephrectomy was done, removing the lesion. Immediately following resection, her blood pressure and potassium normalised without further drug treatment, and the resected lesion was later confirmed to be a reninoma by histopathological examination.

Conclusion: In young people with hypokalemic hypertension, reninoma should be considered when the more common causes are excluded since prompt treatment with excision of the culprit lesion can cure hypertension and prevent associated morbidity and mortality.

Background: Type 2 diabetes mellitus (T2DM) represents a significant global health challenge, with its prevalence steadily rising across diverse populations. Understanding the factors associated with T2DM is crucial for effective prevention and management strategies. In Cape Verde, an archipelago nation off the coast of West Africa, the burden of T2DM is of particular concern, yet comprehensive studies investigating its determinants in this context remain sparse. This study aims to narrow the knowledge gap by assessing the prevalence of prediabetes, T2DM and its associated factors among the adult Cape Verdean population.

Methods: Data from the WHO STEPs survey were used. We analyzed data from 1,936 adults aged 18-69 years. The outcome variable was diabetes status computed using the fasting blood glucose (mg/dl). The data was weighted before the analysis to account for sampling biases. Multinomial logistic regression models were computed in STATA version 18.

Results: The overall prevalence of prediabetes and T2DM was 7.8% (95% CI: 6.1-9.9) and 3.9% (95% CI: 3.1-4.9), respectively. Increasing age was associated with a higher odd of prediabetes and T2DM with the highest odds observed among older adults [(prediabetes: AORs = 3.20, 95%CI: 1.88-5.54) and T2DM: AOR = 3.51, 95%CI: 1.71-7.18)]. Additionally, high total cholesterol levels were linked to increased odds of T2DM (AOR = 2.48, 95%CI: 1.64-3.76). Individuals who consumed less than four servings of vegetables daily had higher odds of T2DM (AOR = 1.74, 95%CI: 1.12-2.71) while being overweight/obese was associated with higher odds of prediabetes (AOR = 1.57, 95%CI: 1.10-2.23). Urban residents had higher odds of T2DM than rural residents (AOR = 1.92, 95%CI: 1.23-3.00). Also, higher educational attainment was associated with lower odds of T2DM only (AOR = 0.33, 95%CI: 0.12-0.88) but not statistically significant for prediabetes.

Conclusion: Based on the findings, we conclude that ageing, overweight/obesity, vegetable consumption and total cholesterol level are important predictors of pre-diabetes and T2DM in Cape Verde. As such, weight management and cholesterol management should be integral parts of T2DM prevention strategies. Additionally, clinicians and diabetes societies in Cape Verde must make the promotion of vegetable consumption a key component of their health advice and advocacy.

Clinical trial number: Not applicable.

Background: Diabetes, a known syndrome marked by hyperglycemia and glucose intolerance, is increasing at an alarming rate worldwide. Over half a billion people worldwide have DM, and most live in low- and middle-income countries. Poor glycemic control is a public health concern in type 2 diabetes mellitus. Glycemic control and identifying factors associated with poor glycemic control can help healthcare providers design programs that improve glycemic control and the quality of services provided to patients.

Objectives: This study was designed to assess the level of glycemic control and associated factors in patients with type 2 diabetes in Jimma Medical Center, Southwest Ethiopia.

Methods: This institution-based prospective observational study was conducted among 420 patients with type 2 diabetes at Jimma Medical Center's diabetic clinics. A pretested structured interviewer-administered questionnaire was used to collect data, and a checklist was used to assess patient documents. The data were analyzed using SPSS version 26. The variables linked to poor glycemic control were investigated using binary logistic regression. Variables with p values less than 0.05 were considered statistically significant.

Results: Six-month follow-ups were conducted among 420 patients with type 2 diabetes, among whom 220 (52.38%) were women. The median age of the participants was 54(IQR = 40-60 years old). The proportion of respondents with uncontrolled fasting blood glucose was 58.1%. Sex (AOR = 2.576, 95% CI [2.80-11.479], P = 0.001), age(≥ 60) (AOR = 2.024, 95% CI [1.794-4.646], P = 0.002), diabetes duration > 10 years (AOR = 3.036, 95% CI [2.616-8.306], P = 0.003), type 2 diabetes mellitus on insulin + oral antidiabetic (OADs) (AOR = 2.08, 95% CI [298-3.918], P = 0.004), obesity (AOR = 2.18, 95% CI [(1.218-4.218)], P = 0.003), diabetic complications (AOR = 3.193, 95% CI [2.324-6.05], p = 0.002) and poor self-care practices (AOR = 3.034, 95% CI [5.821-7.02], P = 0.005) were found to be significantly associated with poor glycemic control.

Conclusion: At the Jimma Medical Center, the prevalence of poor glycemic control was high. Based on these findings, teaching and counseling provided by healthcare providers should focus on improving diabetes self-care activities, weight reduction, and diabetic complications to achieve good glycemic control.

Clinical trial number: Not applicable.

Background: The triglyceride-glucose (TyG) index and related parameters, as well as the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), have been developed as insulin resistance markers to identify individuals at risk for non-alcoholic fatty liver disease (NAFLD). However, its use for predicting NAFLD in patients with type 2 diabetes mellitus (T2DM) remains unclear. In this study, we aimed to observe the performance of insulin resistance indices in diagnosing NAFLD combined with T2DM and to compare their diagnostic values in clinical practice.

Patients and methods: Overall, 268 patients with T2DM from the Endocrinology Department of Jiangsu Provincial Hospital of Traditional Chinese Medicine were enrolled in this study and divided into two groups: an NAFLD group (T2DM with NAFLD) and a T2DM group (T2DM without NAFLD). General information and blood indicators of the participants were collected, and insulin resistance indices were calculated based on these data. Receiver operating characteristic (ROC) analysis was conducted to calculate the area under the curve (AUC) for insulin resistance-related indices, aiming to assess their ability to discriminate between T2DM patients with and without NAFLD.

Results: ROC analysis revealed that among the five insulin resistance-related indices, four parameters (TyG, TyG-body mass index [BMI], TyG-waist circumference [WC], and TyG- (waist-hip ratio [WHR]) exhibited high predictive performance for identifying NAFLD, except for HOMA-IR (AUCs:0.710,0.738,0.737 and 0.730, respectivly). TyG-BMI demonstrated superior predictive value, especially in males. For males, the AUC for TyG-BMI was 0.764 (95% confidence interval [CI] 0.691-0.827). The sensitivity and specificity for male NAFLD were 90.32% and 47.89%, respectively. Moreover, in the Generalized linear regression models, there were positive associations of TyG, TyG-BMI, TyG-WC, TyG-WHR, and HOMA-IR with controlled attenuation parameter (CAP), with β values of 21.30, 0.745, 0.247, and 2.549 (all P < 0.001), respectively.

Conclusion: TyG-BMI is a promising predictor of NAFLD combined with T2DM, particularly in lean male patients.

Background: Diabetic kidney disease populations are categorized as high risk for fasting in Ramadan due to various potential fasting-related complications. Insulin analogues are recommended to be used in place of human insulin during fasting, as they carry a lower risk of hypoglycaemia and stable glycaemic variability. A paucity of data exits on the safety and efficacy of different basal insulin types during fasting for this population. This study aims to evaluate the safety and efficacy of three basal insulin among patients with Type 2 Diabetes Mellitus and concomitant mild to moderate chronic kidney disease who are keen to fast during Ramadan.

Materials and methods: A single-centered, prospective observational study was conducted among 46 patients with type 2 diabetes mellitus and concomitant chronic kidney disease stage 2 and 3 who were on three different types of basal insulin (Glargine U-100, Levemir, and Insulatard), fasted in Ramadan 2022. All variables were listed as median (IQR). Hypoglycaemia events and glycemic variability obtained from Freestyle Libre continuous glucose monitoring were compared between insulin groups. Changes in glycated haemoglobin, fasting plasma glucose, renal profile, body weight, body mass index, and waist circumference pre and post-Ramadan were evaluated.

Results: The glycaemic variability was found highest in Insulatard with a median (IQR) of 37.2(33)% versus Levemir 34.4(32.4)% versus Glargine U-100 36.8(30.6)%, p = NS. Levemir had reported the lowest median time of below range of 2.5(13)% followed by Glargine 4(25)% and Insulatard 5(8)%; p = NS. The findings of this study indicated that glycated haemoglobin, fasting plasma glucose, renal profile, body weight, body mass index, and waist circumference did not alter statistically between the three groups post-Ramadan. Individually, Insulatard showed a significant reduction in weight and waist circumference (0.9kg, p = 0.026; 0.44 cm, p = 0.008) while Levemir showed a reduction in waist circumference (0.75cm, p = 0.019).

Conclusion: This study revealed that Insulatard, Levemir, and Glargine demonstrated similar levels of safety and efficacy among those with diabetic kidney disease who observed fasting during Ramadan.

Background: Recent evidence suggests that diabetes-related lower-extremity complications (DRLECs) may be associated with cognitive changes in people with diabetes. However, existing literature has produced inconsistent findings, and no systematic reviews have been conducted to investigate whether DRLECs impact the cognition of people with diabetes. This systematic review evaluated existing studies that investigated cognition in people with diabetes with DRLECs and without DRLECs.

Method: Seven databases; MEDLINE, PubMed, CINAHL, EMBASE, Cochrane, PsycINFO and Web of Science were searched from inception until 22/8/2022 for studies that compared cognition in people with diabetes with and without DRLECs. Results were independently screened for eligibility and assessed for methodological quality by two authors, with key data extracted. Studies were eligible for meta-analysis if the studies reported similar cases, controls, and outcome measures.

Results: Thirteen studies were included in the review, with eleven of medium methodological quality, one of high quality, and one of low quality. Four studies found significant differences in cognition between those with and without DRLECs, four found significant associations between diabetes-related lower-extremity complications and cognition, and five found no differences or associations. One small meta-analysis of eligible studies found that there was no statistically significant difference in cognition in people without, compared to with, peripheral neuropathy (Mean difference = -0.49; 95%CI: -1.59-0.61; N = 3; n = 215). Leave-one-out sensitivity analyses further confirmed that there was no significant difference in cognition among people with and without peripheral neuropathy (p > 0.05).

Conclusion: DRLECs may be related to cognition in people with diabetes, however, existing evidence is unclear due to variability in used methodologies that may challenge concluding the findings. Future high-quality studies investigating cognition among people with and without DRLECs are needed.