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

Transferrin levels are associated with malnutrition markers in hemodialysis patients in KwaZulu-Natal, South Africa

INTRODUCTION

Malnutrition is a global phenomenon and may be contributing to the increasing size of the hemodialysis (HD) population in South Africa and is affecting morbidity and clinical outcomes. Our study assessed whether transferrin could be a possible marker for malnutrition in the HD population.

METHODS

Clinical parameters (including skinfold thickness and mid-upper arm circumference [MUAC]) and laboratory markers (including transferrin and hemoglobin) were measured during a six-month period in a sample of 59 HD patients.

RESULTS

Linear regression analysis showed that MUAC (p = 0.027) as well as skinfold thickness (p = 0.021) had a significant association with transferrin levels within the HD participants. There was no significant association between transferrin levels or MUAC with hemoglobin levels (p = 0.075). Furthermore, the study found that decreased transferrin levels (< 2.15 g/dL to 3.80 g/dL) were closely related to malnutrition in the malnutrition distribution groups within the study, with 97.7% of HD participants being classified in one of the malnutrition groups.

CONCLUSION

Thus, transferrin levels are a valuable marker for malnutrition within the HD patient population and can be included along with clinical assessment parameters such as MUAC and skinfold thickness as primary indicators for malnutrition.

Malnutrition and unsuccessful tuberculosis treatment among people with multi-drug resistant tuberculosis in Uganda: A retrospective analysis

Rationale

Multi-drug-resistant tuberculosis (MDR-TB) poses a significant public health challenge to the control and successful eradication of TB globally. Suboptimal treatment outcomes are common among persons with MDR-TB necessitating a need to understand the contextual factors.

Objective

We determined the factors associated with unsuccessful TB treatment among persons with MDR-TB at a large TB Unit in Central Uganda.

Methods

We retrospectively reviewed medical records for all persons with MDR-TB at Mubende Regional Referral Hospital MDR-TB Clinic in Central Uganda. The patients were treated with either second-line, modified second-line, or individualized anti-TB regimens and completed treatment between January 2012 and October 2023. The primary outcome was unsuccessful TB treatment defined as death, treatment failure, or loss to follow-up and measured as a binary outcome. We used a multivariable binary logistic regression analysis to determine the factors independently associated with unsuccessful TB treatment at a 5 % statistical significance level. We reported the adjusted odds ratio (aOR) and the 95 % confidence interval (CI).

Measurements and results

We analyzed data from 98 persons with MDR-TB who were aged 15-78 years (mean 36.4 ± 15.4 years). Of these, 40 (40.8 %) were cured, 25 (25.5 %) completed TB treatment, 1 (1.0 %) had treatment failure, 13 (13.3 %) died, and 19 (19.4 %) were lost to follow-up. Overall, 33 (33.7 %) participants had unsuccessful TB treatment which was associated with older age for a 1-year increase in age (aOR 1.05, 95 % CI 1.01-1.09), malnutrition-mid-upper arm circumference of <12.5 cm (aOR 2.99, 95 % CI 1.16-7.98), and previous TB treatment (aOR 0.28, 95 % CI 0.10-0.77).

Conclusion

Unsuccessful TB treatment is high among persons with MDR-TB at this TB Unit. It is more likely as age advances and when persons with MDR-TB have malnutrition, but less likely when they have been previously treated for TB. Therefore, interventions to improve treatment outcomes may be beneficial for persons with MDR-TB who are older, malnourished, and those newly diagnosed with the disease. For example, routine nutritional assessment and counseling, including nutritional support for malnourished persons with MDR-TB may be needed to optimize their TB treatment success.

Identifying malnutrition risk in hospitalized patients: an analysis of five tools in the light of GLIM criteria

BACKGROUND

The prompt identification of malnutrition among hospitalized patients using the appropriate screening tool is paramount. The objective of our study is to compare the most recommended screening tools concerning the new GLIM criteria for malnutrition in hospitalized patients.

METHODS

In this cross-sectional study, we analyzed the data on 1,397 patients receiving inpatient treatment at Bandırma Training and Research Hospital between August 2022 and May 2023 to assess and compare malnutrition in them. Patients who received inpatient treatment in the internal and surgical clinics of Bandırma Training and Research Hospital. In addition to the GLIM criteria, we used nutritional screening and assessment tools such as NRS-2002, MST, GMS, MUST, and SNAQ. The GLIM criteria were considered the gold standard for the evaluation of sensitivity and specificity. Receiver operating characteristic (ROC) curves for the five screening tools were also used to assess the ability to distinguish malnutrition-risk patients accurately.

RESULTS

The comparison of the performances of different screening tools in detecting malnutrition demonstrated that while the GMS had the highest sensitivity (87.40%), the NRS-2002 had the highest specificity (91.70%). The area under the Curve (AUC) value indicated that the predictive values of the NRS-2002, MST, GMS, and SNAQ were excellent, and the predictive value of the MUST was good (p < 0.001). While the GLIM criteria in particular appear to be an effective tool for detecting malnutrition in hospitalized individuals, other screening tools are also useful in assessing their malnutrition risk.

CONCLUSIONS

We emphasized MST's alignment with GLIM criteria, underscoring the importance of a multidisciplinary approach for early malnutrition diagnosis. Patients at risk of malnutrition can be diagnosed more quickly and accurately with appropriate screening tools and the effectiveness of treatments can be increased.

Negative effects of undernutrition on sputum smear conversion and treatment success among retreatment cases in Uganda: A quasi-experimental study

Rationale

The causal relationship between undernutrition and response to anti-tuberculosis (TB) treatment and TB treatment outcomes among people with retreatment TB is understudied.

Objective

To evaluate the effect of undernutrition on treatment success and sputum smear conversion among people with retreatment drug-susceptible TB in Kampala, Uganda.

Methods

We conducted a quasi-experimental study utilizing propensity score weighting among people with retreatment drug-susceptible TB aged ≥ 15 years treated between 2012 and 2022 in Kampala. The primary exposure was undernutrition assessed using the mid-upper arm circumference at the time of TB diagnosis. The primary outcome was treatment success defined as cure or treatment completion at month 6. Sputum smear conversion was the secondary outcome and was measured as a change in sputum smear status from positive to negative at months 2, 5, and 6. We estimated the causal effect of undernutrition on the outcomes using a propensity-score weighted modified Poisson regression model with robust error variance.

Measurements and main results

Of the 605 participants, 432 (71.4 %) were male, 215 (35.5 %) were aged 25-34 years, 427 (70.6 %) had bacteriologically confirmed pulmonary TB, 133 (22.0 %) were undernourished and 398 (65.8 %) achieved treatment success. Of participants with bacteriologically confirmed pulmonary TB, 232 (59.0 %), 327 (59.3 %), and 360 (97.6 %) achieved sputum smear conversion at months 2, 5, and 6, respectively. Undernutrition reduced treatment success (RR 0.42, 95 % CI 0.32-0.55) as well as sputum smear conversion at months 2 (RR 0.45, 95 % CI 0.42-0.49) and 5 (RR 0.46, 95 % CI 0.43-0.51) but not month 6 (RR 0.99, 95 % CI 0.97-1.02).

Conclusion

Undernutrition negatively impacts treatment outcomes. Therefore, nutritional assessment should be an integral component of TB care, with nutritional counseling and support offered to those undernourished to optimize their TB treatment response and outcomes.

Associations between Neck Circumference, Mid-Upper Arm Circumference, Wrist Circumference, and High Blood Pressure among Lithuanian Children and Adolescents: A Cross-Sectional Study

(1) Background: High blood pressure (HBP) and obesity are significant and growing public health issues worldwide. Our study aimed to evaluate the associations of neck circumference (NC), mid-upper arm circumference (MUAC), and wrist circumference (WrC) with HBP among Lithuanian children and adolescents aged 7-17 years. (2) Methods: In this cross-sectional study, data on BP and anthropometric measurements were analysed in 3688 children and adolescents aged 7-17 years. Multivariate logistic regression analysis was used to estimate the associations between anthropometric indices and HBP. (3) Results: Overall, the prevalence rates of elevated BP and hypertension were 13.7% and 12.9%, respectively. After adjustment for age, BMI, and WC, statistically significant elevated aORs were observed for associations between greater NC, MUAC, WrC, and HBP in boys (aORs: 2.13, 2.46, and 2.48, respectively) and in girls (aORs: 2.01, 2.36, and 2.09, respectively). Moreover, per-unit increase in NC, MUAC, and WrC was also associated with greater odds of HBP in boys (aORs: 1.20, 1.21, and 1.37, respectively) and in girls (aORs: 1.10, 1.10, and 1.21, respectively). The analysed anthropometric indices presented higher area under the curve values for predicting HBP in boys than in girls. (4) Conclusions: This study suggests that higher NC, MUAC, and WrC are associated with increased odds of HBP in Lithuanian children and adolescents.

Development and Validation of Estimation Equations for Appendicular Skeletal Muscle Mass in Chinese Community-Dwelling Older Adults

Purpose

This study aimed to establish equations for estimating muscle mass through anthropometric parameters or together with physical function parameters in the community-dwelling older adults, providing a simple way of muscle mass assessment.

Methods

In this cross-sectional descriptive study, a total of 1537 older adults were recruited from the community and accepted the measurements of height, weight, upper arm and calf circumferences, grip strength, and walking speed. Body composition including appendicular skeletal muscle mass (ASM) was measured using bioelectrical impedance analysis (BIA). Participants were randomly divided into the development or validation group. Stepwise multiple linear regression was applied to develop equations in the development group. Thereafter, Pearson correlation coefficients, Bland-Altman plots, paired t-test, intraclass correlation coefficient (ICC) and paired-samples t-tests were used to assess the validity of the equations.

Results

All parameters were significantly correlated with ASM (r = 0.195~0.795, P < 0.001) except for the age in the validation group (P = 0.746). The most optimal anthropometric equation was: [adjusted R2 = 0.911, standard error of the estimate (SEE) = 1.311, P < 0.001]. Comparatively speaking, this equation showed high correlation coefficient (r = 0.951, P < 0.001) and ICC (ICC = 0.950, P < 0.001). No significant differences were found between BIA-measured ASM and the estimated ASM. The Bland-Altman plot showed that the mean difference between the estimated ASM and BIA-measured ASM was 0 kg and the limits of agreement of ASM was -2.70~2.60 kg. Furthermore, inclusion of physical function did not significantly improve the adjusted R2 and SEE.

Conclusion

The anthropometric equation offers a practical alternative simple and dependable method for estimating ASM in community-dwelling older adults.

Defining anthropometric thresholds (mid-arm circumference and calf circumference) in older adults residing in the community: a cross-sectional analysis using data from the population representative Longitudinal Aging Study in India (LASI DAD)

OBJECTIVES

To identify factors associated with malnutrition (undernutrition and overnutrition) and determine appropriate cut-off values for mid-arm circumference (MAC) and calf circumference (CC) among community-dwelling Indian older adults.

DESIGN

Data from the first wave of harmonised diagnostic assessment of dementia for Longitudinal Ageing Study in India (LASI-DAD) were used. Various sociodemographic factors, comorbidities, geriatric syndromes, childhood financial and health status were included. Anthropometric measurements included body mass index (BMI), MAC and CC.

SETTING

Nationally representative cohort study including 36 Indian states and union territories.

PARTICIPANTS

4096 older adults aged >60 years from LASI DAD.

OUTCOME MEASURES

The outcome variable was BMI, categorised as low (<18.5 kg/m2), normal (18.5-22.9 kg/m2) and high (>23 kg/m2). The cut-off values of MAC and CC were derived using ROC curve with BMI as the gold standard.

RESULTS

902 (weighted percentage 20.55%) had low BMI, 1742 (44.25%) had high BMI. Undernutrition was associated with age, wealth-quintile and impaired cognition, while overnutrition was associated with higher education, urban living and comorbidities such as hypertension, diabetes and chronic heart disease. For CC, the optimal lower and upper cut-offs for males were 28.1 cm and >31.5 cm, respectively, while for females, the corresponding values were 26 cm and >29 cm. Similarly, the optimal lower and upper cut-offs for MAC in males were 23.9 cm and >26.9 cm, and for females, they were 22.5 cm and >25 cm.

CONCLUSION

Our study identifies a high BMI prevalence, especially among females, individuals with higher education, urban residents and those with comorbidities. We establish gender-specific MAC and CC cut-off values with significant implications for healthcare, policy and research. Tailored interventions can address undernutrition and overnutrition in older adults, enhancing standardised nutritional assessment and well-being.

The Importance of Nutrition in Menopause and Perimenopause-A Review

Menopause is associated with an increased prevalence of obesity, metabolic syndrome, cardiovascular diseases, and osteoporosis. These diseases and unfavorable laboratory values, which are characteristic of this period in women, can be significantly improved by eliminating and reducing dietary risk factors. Changing dietary habits during perimenopause is most effectively achieved through nutrition counseling and intervention. To reduce the risk factors of all these diseases, and in the case of an already existing disease, dietary therapy led by a dietitian should be an integral part of the treatment. The following review summarizes the recommendations for a balanced diet and fluid intake, the dietary prevention of cardiovascular diseases, the role of sleep, and the key preventive nutrients in menopause, such as vitamin D, calcium, vitamin C, B vitamins, and protein intake. In summary, during the period of perimenopause and menopause, many lifestyle factors can reduce the risk of developing all the diseases (cardiovascular disease, insulin resistance, type 2 diabetes mellitus, osteoporosis, and tumors) and symptoms characteristic of this period.

General and abdominal obesity and dietary nutrient intake among university students in Bangladesh: A cross-sectional study targeting potential risk factors

BACKGROUND & AIMS

The overall national increase in the prevalence of overweight and obesity has emerged among university students in Bangladesh. Though, poor dietary habits and lifestyle is quite common among university students, their dietary nutrient intake level, obesity prevalence and potential risk factors has hitherto given little priority. This study aimed to understand the prevalence and factors associated with general and abdominal obesity and level of dietary nutrient intake among university students in Bangladesh.

METHODS

Data from 320 unselected tertiary level students (81.6% males, 18.4% females; average age 22.7±3.0, BMI 22.4±3.1 and waist-hip ratio (WHR) 0.88 ± 0.1) was collected randomly, in a single visit, from Islamic University, Kushtia, Bangladesh. Basic demographic and anthropometric information were collected. Twenty-four hour (24H) dietary recall and food frequency questionnaire (FFQ) was used to collect dietary nutrient level retrospectively. Descriptive statistics, chi-square test, t-test, ANOVA, and binomial logistic regression analysis were done.

RESULTS

Around 3% and 42% student were reported to be obese and overweight respectively. Whereas abdominal obesity was prevalent among ∼52% and more than 67% of student were reportedly obese/overweight by either BMI or WHR or WHtR category. Energy and carbohydrate (CHO) intake were reported to be significantly higher (P < 0.05) among overweight who born by C-section delivery and were fed formula milk than those were normal weight and born by vaginal-birth and were breastfed. The overweight individual with a history of preterm birth was reported to intake significantly higher (P < 0.05) carbohydrates compared to normal-weight individuals with a history of term birth. While total fat intake was significantly higher (P < 0.05) among overweight individuals with their mother had gestational diabetes than those with normal weight individuals with mother without gestational diabetes.

CONCLUSIONS

General and abdominal obesity is common among university students and possibly associated with mode of birth, gestational duration, gestational diabetes, and breastfeeding practice.

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.