ABSTRACT
Objective To understand the dynamic variation of BMI and influencing factors among HIV/AIDS patients receiving highly active anti-retroviral therapy (HAART) in Liuzhou,Guangxi Zhuang Autonomous Region (Guangxi).Methods HIV/AIDS patients receiving HAART for the first time since 1 January 2013 were selected.Data on BMI was analyzed among patients receiving HAART at baseline,6 months and 12 months after treatment.By using the general linear model repeated measures of analysis of variance,BMI dynamic variations and influencing factors were described and analyzed.Results The average BMI of 2 871 patients at baseline,6th months and 12th months appeared as (20.65 ±3.32),(20.87 ± 3.22) and (21.18 ± 3.20),respectively,with differences all statistically significant (F=18.86,P＜0.001).BMI were increasing over time with treatments (F=37.25,P＜0.001).Main influencing factors were noticed as:age,sex,marital status,baseline data of CD4+T cells and the WHO classification on clinical stages.Conclusions Higher proportion of BMI malnutrition counts was seen among patients before receiving HAART in Liuzhou.BMI of the patients that were on HAART seemed being influenced by many factors.It is necessary to select appropriate treatment protocols on different patients so as to improve the nutritional status of the patients.
ABSTRACT
Objective To understand the dynamic variation of BMI and influencing factors among HIV/AIDS patients receiving highly active anti-retroviral therapy (HAART) in Liuzhou,Guangxi Zhuang Autonomous Region (Guangxi).Methods HIV/AIDS patients receiving HAART for the first time since 1 January 2013 were selected.Data on BMI was analyzed among patients receiving HAART at baseline,6 months and 12 months after treatment.By using the general linear model repeated measures of analysis of variance,BMI dynamic variations and influencing factors were described and analyzed.Results The average BMI of 2 871 patients at baseline,6th months and 12th months appeared as (20.65 ±3.32),(20.87 ± 3.22) and (21.18 ± 3.20),respectively,with differences all statistically significant (F=18.86,P＜0.001).BMI were increasing over time with treatments (F=37.25,P＜0.001).Main influencing factors were noticed as:age,sex,marital status,baseline data of CD4+T cells and the WHO classification on clinical stages.Conclusions Higher proportion of BMI malnutrition counts was seen among patients before receiving HAART in Liuzhou.BMI of the patients that were on HAART seemed being influenced by many factors.It is necessary to select appropriate treatment protocols on different patients so as to improve the nutritional status of the patients.