The Mid-Upper Arm Circumference as a Substitute for Body Mass Index in the Assessment of Nutritional Status among Pregnant Women: A Cross-Sectional Study.

To compare mid-upper arm circumference (MUAC) with body mass index (BMI) and propose MUAC cut-off points corresponding to BMIs of <18.5 kg/m2 (underweight) and ≥30.0 kg/m2 (obesity) for pregnant Sudanese women, a cross-sectional community-based study was conducted in the city of New Halfa, Sudan. Healthy pregnant women were recruited. Body parameters such as height, weight, and MUAC were measured. The MUAC (cm) cut-off values for underweight and obesity were determined using receiver operating characteristic (ROC) curve analysis. Of 688 pregnant women, 437 were in early pregnancy (<20 weeks of gestation) and 251 were in late pregnancy (≥20 weeks of gestation). There was a significant positive correlation between BMI and MUAC among women in both early pregnancy (r = 0.734) and late pregnancy (r = 0.703). The cut-off points of MUAC for detecting underweight and obesity were found to be 24.0 cm and 29.0 cm, respectively, for women in early pregnancy, with good predictive values. For women in late pregnancy, the cut-off points for detecting underweight and obesity were 23.0 cm and 28.0 cm, respectively. We concluded that for Sudanese pregnant women, the MUAC cut-off points identified in the study for diagnosing underweight and obesity are both sensitive and specific.

Mid-upper arm circumference as a substitute for body mass index in the assessment of nutritional status among adults in eastern Sudan.

BACKGROUND: Body mass index (BMI) remains the most used indicator of nutritional status despite the presence of a potentially credible alternative. Mid-upper arm circumference (MUAC) is an anthropometric measure that requires simple equipment and minimal training. The aim of this study was to compare MUAC with BMI and propose a MUAC cut-off point corresponding to a BMI of < 18.5 kg/m2 (underweight) and ≥ 30.0 kg/m2 (obesity) among Sudanese adults. METHODS: A cross-sectional study using multistage cluster sampling was conducted in New-Halfa, eastern Sudan. Participants' age and sex were recorded and their MUAC, weight and height were measured using the standard procedures. The MUAC (cm) cut-offs corresponding to < 18.5 kg/m2 and ≥ 30.0 kg/m2 were calculated and determined using receiver operating characteristic (ROC) curve analysis RESULTS: Five hundreds and fifty-two adults were enrolled in the study. The median (interquartile range, IQR) of the participants age was 31.0 (24.0 ̶ 40.0) years and 331 (60.0%) of them were females. The medians (IQR) of BMI and MUAC were 22.4 (19.1 ̶ 26.3) kg/m2 and 25.0 (23.0 ̶ 28.0) cm, respectively. There was a significant positive correlation between MUAC and BMI (r = 0.673, p < 0.001). Of the 552 enrolled participants, 104 (18.8%), 282 (51.1%), 89 (16.1%) and 77 (13.9%) were normal weight, underweight, overweight and obese, respectively. Best statistically derived MUAC cut-off corresponding to a BMI < 18.5 kg/m2 (underweight) was ≤ 25.5 cm in both males and females (Youden's Index, YI = 0.51; sensitivity = 96.0%; specificity = 54.0%), with a good predictive value (AUROCC = 0.82). Best statistically derived MUAC cut-off corresponding to a BMI ≥ 30.0 kg/m2 (obesity) was ≥ 29.5 cm in both males and females (YI = 0.62, sensitivity = 70.3%, specificity = 92.0%), with a good predictive value (AUROCC = 0.86, 95.0% CI = 0.76 - 0.95). CONCLUSION: The results suggest that the cut-offs based on MUAC can be used for community-based screening of underweight and obesity.

Assessment of glycemic control in type 2 diabetes in the Eastern Sudan.

OBJECTIVES: A cross-sectional study was conducted in Gadarif, eastern Sudan to assess glycaemic control among adult patients with type 2 diabetes in eastern Sudan. Poor glycaemic control was defined as HbA1c level of ≥ 7.0%. Questionnaire was used to gathered sociodemographic and clinical characteristics. RESULTS: A total of 339 patients (69.9% were women) were enrolled in the study. The mean age of the participants was 54.8 (12.8) years. Approximately more than two-thirds (n = 243, 71.7%) of the participants were using oral glucose control agents. A round one-fifth (22.1%) of the participants were using insulin and only 6.2% of them were using both insulin and oral glucose control agents. The rate of poor glycemic control was 71.9%. In logistic regression analyses, duration of diabetes, medications used, and the triglycerides were not associated with poor glycemic control. However, being unmarried (OR = 3.64, 95% CI 1.21-10.90), adding sugar to the drinks (OR = 1.84, 95% CI 1.11-3.05, P = 0.017) and high cholesterol level (OR = 1.01, 95% CI 1.01-1.02.) were associated with poor glycemic control. In summary the rate of uncontrolled type 2 diabetes mellitus was considerably high especially among being unmarried patients and patients who were adding sugar to the drinks.

Assessment of blood pressure control in adult hypertensive patients in eastern Sudan.

BACKGROUND: The rate of blood pressure (BP) control in adult hypertensive patients is poor and the reasons for poor control of BP pressure are not fully understood globally. This study aimed to assess the rate and factors associated with BP control in adult hypertensive patients in Sudan. METHODS: A hospital-based cross-sectional study was conducted in adult hypertensive Sudanese patients at Gadarif Hospital in eastern Sudan from November 2016 to March 2017. Information on sociodemographic characteristics of the participants, comorbidities, antihypertensive medication, and adherence to antihypertensive medication was gathered from patients using a questionnaire. Fasting cholesterol and triglyceride levels were measured. RESULTS: A total of 380 patients were enrolled. Of them, 234 (61.6%) were women. The mean (SD) age of the participants was 57.8 (11.1) years (range: 25-93 years). Over one-third (n = 147, 38.7%) of the participants were taking more than one antihypertensive medication. Approximately one-third (29.5%) of the participants were non-adherent to medication. The rate of BP control was 45.3%. In binary logistic regression analyses, age, sex, physical inactivity, adding salt to food, drinking coffee, body mass index, and the lipid profile were not associated with uncontrolled BP. However, non-adherence to medication was the main factor associated with uncontrolled BP (odds ratio = 5.29, 95% confidence interval = 3.16-8.83, P <  0.001). CONCLUSIONS: Almost half of hypertensive patients in follow-up have uncontrolled BP, mainly due to non-adherence to medicine. We recommend further research on drug adherence to improve the rate of BP control in this setting (Gadarif) of the Sudan.