Abstract
Rationale: Body mass index (BMI) has been widely used as a tool for detecting adult malnutrition, however measuring height and weight can be difficult in bedridden patients. This study aimed to find whether the mid-upper arm circumference (MUAC) can be used as a tool for detecting adult malnutrition especially in bedridden patients.
Methods: This was a cross-sectional study with consecutive sampling, as a part of malnutrition research in integrated inpatient room of Cipto Mangunkusumo Hospital, Indonesia who met the inclusion and exclusion criteria.The inclusion criteria are new patients in the last 24 hour of hospitalization based on Electronic Health Record (HER), older or equal to 18 years old, willing to sign the informed consent form, and hemodynamically stable. The exclusion criteria are subjects who had been hospitalized in RSCM more than 3 days before entering building A, were not in their room when data collector visited the patients’ room, and unsuitable for BIA examination (tremor, cramp, connected to electric medical instrument, pregnant).This study was conducted from October to December 2018. They were measured for their height using SECA 360, body weight using SECA 869, and MUAC using SECA 201. The data was analyzed using SPSS Version 26.
Results: There were 224 subjects, consist of 106 males and 118 females in this study. The mean BMI for male and female participants were 22.56 ± 4.99 and 22.91 ± 5.66 respectively and mean of MUAC were 26.36 ± 4.52 and 25.69 ± 4.92 respectively. Kolmogorov-Smirnov test resulted abnormal distribution data with p value <0,05. Spearman correlation showed highly significant positive correlation both male (r= 0,881 p<0,01) and female (r=0,896 p<0,01). Receiver operating curve (ROC) analysis was performed to define the cut-off point of the MUAC. The area under the receiver operating curve (AUC) of MUAC for male (0,953, 95% CI 0,912-0,995) and female (0,953, 95% CI 0,916-0,989) are high. The cut-off point for male was 23,25 cm (Youden’s index 0,784) and female was 23,5 cm (Youden’s index 0,799).
Conclusion: The correlation between MUAC and BMI was significantly positive, which can be used as a tool for detecting adult malnutrition. Based on our study, MUAC <23,25 cm for male and <23,5 cm for female may be considered as a cut-off to detect adult malnutrition.
Methods: This was a cross-sectional study with consecutive sampling, as a part of malnutrition research in integrated inpatient room of Cipto Mangunkusumo Hospital, Indonesia who met the inclusion and exclusion criteria.The inclusion criteria are new patients in the last 24 hour of hospitalization based on Electronic Health Record (HER), older or equal to 18 years old, willing to sign the informed consent form, and hemodynamically stable. The exclusion criteria are subjects who had been hospitalized in RSCM more than 3 days before entering building A, were not in their room when data collector visited the patients’ room, and unsuitable for BIA examination (tremor, cramp, connected to electric medical instrument, pregnant).This study was conducted from October to December 2018. They were measured for their height using SECA 360, body weight using SECA 869, and MUAC using SECA 201. The data was analyzed using SPSS Version 26.
Results: There were 224 subjects, consist of 106 males and 118 females in this study. The mean BMI for male and female participants were 22.56 ± 4.99 and 22.91 ± 5.66 respectively and mean of MUAC were 26.36 ± 4.52 and 25.69 ± 4.92 respectively. Kolmogorov-Smirnov test resulted abnormal distribution data with p value <0,05. Spearman correlation showed highly significant positive correlation both male (r= 0,881 p<0,01) and female (r=0,896 p<0,01). Receiver operating curve (ROC) analysis was performed to define the cut-off point of the MUAC. The area under the receiver operating curve (AUC) of MUAC for male (0,953, 95% CI 0,912-0,995) and female (0,953, 95% CI 0,916-0,989) are high. The cut-off point for male was 23,25 cm (Youden’s index 0,784) and female was 23,5 cm (Youden’s index 0,799).
Conclusion: The correlation between MUAC and BMI was significantly positive, which can be used as a tool for detecting adult malnutrition. Based on our study, MUAC <23,25 cm for male and <23,5 cm for female may be considered as a cut-off to detect adult malnutrition.
| Original language | English |
|---|---|
| Title of host publication | 2021 European Society for Clinical Nutrition and Metabolism Virtual Congress |
| Pages | S607 |
| Volume | 46 |
| DOIs | |
| Publication status | Published - 1 Dec 2021 |
Publication series
| Name | Clinical Nutrition ESPEN |
|---|---|
| Publisher | Elsevier Ltd |
| ISSN (Print) | 2405-4577 |
