Anthropometric measures as indicators of the nutritional status of people living with HIV
ABSTRACT Several studies have noted the increased survival time of people living with HIV (PLH) after the use of antiretroviral therapy. However, impacts on nutritional status (NS) have not been reported. The aim of this study was to evaluate the association between anthropometric measures as indica...
Saved in:
| Main Authors: | , , , |
|---|---|
| Language: | English |
| Published: |
Sociedad Chilena de Nutrición, Bromatología y Toxicología
2019
|
| Subjects: | |
| Online Access: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-75182019000600753 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | ABSTRACT Several studies have noted the increased survival time of people living with HIV (PLH) after the use of antiretroviral therapy. However, impacts on nutritional status (NS) have not been reported. The aim of this study was to evaluate the association between anthropometric measures as indicators of the NS of PLH. A cross-sectional study was conducted with 35 PLH receiving care at a Brazilian public service specialized in HIV/AIDS (2017-2018) was recruited by convenience. Data were analyzed using SPSS 18.0. The anthropometric variables measured were: weight, height, body mass index (BMI), triceps skinfold (TSF), mid-arm circumference (MAC), mid-arm muscle circunference (MAMC), waist circunference (WC) and neck circumference (NC). According to BMI, 48.6% (n= 17) of patients were eutrophic, using criteria based on TSF, MAC and MAMC resulted in 57.1% (n= 20), 48.6 (n= 17) and 48.6%(n= 17) being classified as underweight, respectively. Prevalence of WC-defined central obesity and NC defined central obesity were 42.9% and 37.1 %, respectively. Significant correlations were found between BMI and: TSF (r=0.587; p<0.001); MAC (r= 0.885; p<0.001); MAMC (r= −0.690; p<0.001); WC (r= 0.840; p<0.001); NC (r= 0.535; p<0.001). Different NS classifications were attributed by the anthropometric parameters employed, however, due to the complexity of the metabolic factors present in PLH, the combined use of predictors of NS and cardiometabolic risk in clinical practice should be emphasized. |
|---|