Association Between Type 1 Diabetes Mellitus and Eating Disorders: A Systematic Review and Meta-Analysis

BACKGROUND

Previous meta-analyses have shown mixed results regarding the association between eating disorders (EDs) and type 1 diabetes mellitus (T1DM). Our paper aimed to analyse different EDs and disordered eating behaviours that may be practiced by patients with T1DM.

METHODS

A literature search of PubMed, Scopus and Web of Science was conducted on 17 January 2023, using the key terms "T1DM," "Eating Disorders" and "Bulimia." Only observational controlled studies were included. The Revman software (version 5.4) was used for the analysis.

RESULTS

T1DM was associated with increased risk of ED compared with nondiabetic individuals (RR = 2.47, 95% CI = 1.84-3.32, p-value < 0.00001), especially bulimia nervosa (RR = 2.80, 95% CI = 1.18-6.65, p-value = 0.02) and binge eating (RR = 1.53, 95% CI = 1.18-1.98, p-value = 0.001). Our analysis has shown that increased risk of ED among T1DM persisted regardless of the questionnaire used to diagnose ED; DM-validated questionnaires (RR = 2.80, 95% CI = 1.91-4.12, p-value < 0.00001) and generic questionnaires (RR = 2.03, 95% CI = 1.27-3.23, p-value = 0.003). Prevalence of insulin omission/misuse was 10.3%; diabetic females demonstrated a significantly higher risk of insulin omission and insulin misuse than diabetic males.

CONCLUSION

Our study establishes a significant and clear connection between EDs and T1DM, particularly bulimia and binge eating, with T1DM. Moreover, female diabetics are at higher risk of insulin misuse/omission. Early proactive screening is essential and tailored; comprehensive interventions combining diabetes and ED components are recommended for this population, with referral to a specialised psychiatrist.

Physical activity patterns among obese adults attending rural primary health care units, Ismailia Governorate, Egypt: A case-control study

Obesity is an ignored health problem in all countries; there are a lot of health problems related directly or indirectly to overweight and obesity. The incidence of COVID-19 with social isolation and technological development in recent years strongly contributed to a progressive increase in obesity. . Assess the pattern of the 3 divisions of physical activity and sedentary behaviors in obese patients. Physical inactivity is a significant concern, especially among individuals with obesity and certain demographic characteristics. Addressing these factors and promoting physical activity interventions tailored to specific populations is essential in combating sedentary behavior and its associated health implications.This case-control study included 350 adult obese patients (BMI ≥ 30) and 75 people with normal BMI (18.5-24.9). Their sociodemographic data were analyzed and their pattern of physical activity related to work, movement to and from places for 10 minutes, and pattern of recreational activity were assessed, in addition to the assessment of the sedentary behaviors. The mean age of the study group was 34 years, the majority were females, educated, and working. Forty five percent of the total sample were physically inactive; the pattern of activity during travel to and from places (10 min) was lower in obese patients. Recreational activities were low in the studied population, in the present study the time spent sitting or reclining (except sleeping) was significantly higher among obese participants than controls (P ≤ .001). Obesity, urban residence, unemployment and illiteracy were independent risk factors for physical inactivity.

Serum trimethylamine N-oxide levels among coronary artery disease and acute coronary syndrome patients: a systematic review and meta-analysis

Background and Aim

Recent studies have linked trimethylamine N-oxide (TMAO) to cardiovascular diseases; our study aimed to analyze the association between coronary artery disease (CAD), acute coronary syndrome (ACS), and TMAO.

Methods

PubMed, Scopus, Embase, and Web of Science were searched using terms such as 'CAD' and 'TMAO'. Only observational controlled studies were included. RevMan software version 5.4 was used for the analysis.

Results

A significant association was found between the CAD group and increased serum TMAO levels compared with the control group (MD=1.16, 95% CI=0.54-1.78, P=0.0003). This association remained significant among acute coronary syndrome patients (MD=0.98, 95% CI=0.73-1.23, P<0.00001) and was also detected among young and old CAD patients (MD=0.35, 95% CI=0.06-0.64, P=0.02 and MD=1.36, 95% CI=0.71-2.01, P<0.0001, respectively). On further analysis of intestinal metabolites, the authors detected an insignificant association between choline, betaine, carnitine, and CAD. According to our sensitivity analysis, TMAO is an acceptable diagnostic marker for CAD (0.721, SE was 0.0816, 95% CI: 0.561-0.881).

Conclusion

TMAO is an acceptable diagnostic marker for CAD, with significantly higher levels among these patients regardless of their age. Other metabolites did not show such an association. The role of serum level TMAO in the early diagnosis of CAD should be further explored.