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1.
Afr Health Sci ; 12(3): 268-75, 2012 Sep.
Article in English | MEDLINE | ID: mdl-23382739

ABSTRACT

BACKGROUND: We determined the prevalence and factors associated with hyperlactatemia among HIV patients admitted on the emergency ward of a national hospital in Uganda. OBJECTIVE: We were specifically interested in knowing whether there was an association between clinically significant hyperlactatemia and concurrent antiretroviral therapy (ART) use. METHODS: A cross sectional descriptive study enrolled 303 HIV infected patients at a national referral hospital between March and April 2008. We consecutively recruited all eligible HIV infected patients above 18 years admitted on the emergency ward. Data were collected on socio-demographic, clinical and laboratory characteristics. Lactate levels were measured using the Accutrend® portable lactate analyser. Data analysis was performed using Stata 10.0; P-value of < 0.05 was considered to be significant. RESULTS: Three hundred and three HIV infected patients were recruited. Prevalence of hyperlactatemia (lactate ≥2.5mmol/L) was 252 (83.2%). Clinically significant hyperlactatemia (lactate ≥4mmol/L) was present in 105/303(34.6%) patients. There was no association between use of ART and clinically significant hyperlactatemia. In the multivariate analysis, body weakness 1.91 (1.09-3.35), skin rash 3.18 (1.11-9.10) and tachypnoea 1.04 (1.01-1.07) were independently associated with clinically significant hyperlactatemia. CONCLUSION: There was a high prevalence of clinically significant hyperlactatemia among HIV infected patients but it was not associated with concurrent antiretroviral use.


Subject(s)
Acidosis, Lactic/epidemiology , Anti-HIV Agents/therapeutic use , HIV Infections/complications , Lactic Acid/blood , Acidosis, Lactic/blood , Adolescent , Adult , Aged , Aged, 80 and over , Anti-HIV Agents/adverse effects , Cross-Sectional Studies , Female , HIV Infections/drug therapy , HIV Infections/epidemiology , Humans , Male , Middle Aged , Multivariate Analysis , Prevalence , Referral and Consultation , Risk Factors , Socioeconomic Factors , Uganda/epidemiology , Young Adult
2.
Afr Health Sci ; 10(4): 367-73, 2010 12.
Article in English | MEDLINE | ID: mdl-21416039

ABSTRACT

BACKGROUND: Obesity in young adults is rising and predicts diabetes and cardiovascular diseases later in life. Data on prevalence and determinants of obesity in developing countries are needed for primary prevention. OBJECTIVES: To determine the prevalence of overweight and obesity in young adults in urban (Kampala city) and rural areas (Kamuli District) of Uganda. METHODS: Cross-sectional survey of 683 randomly selected young adults aged 18-30 years. Obesity was defined as body mass index (BMI) > 30 kg/m(2) and overweight as BMI > 25 kg/m(2). Distribution of BMI by socio-demographic characteristics was determined. RESULTS: Of the 683 participants, 50.5% were female and 53.2% were from Kampala. The overall prevalence of obesity and overweight was 2.3% and 10.4%, respectively. The prevalence of obesity was 4.4% in Kampala and 0% in Kamuli while the prevalence of overweight was 10.2% and 10.6% in Kampala and Kamuli, respectively. Compared to males, females were more likely to be obese (2.9% vs. 1.8%) or overweight (17.4% vs. 3.3%). Residing in the city, alcohol consumption, smoking, non-engagement in sports activities, commuting to school by taxi or private vehicle and being from a rich family were the main factors significantly associated (P<0.05) with obesity. Being female (p = 0.0001) and not engaging in any sports activities (P = 0.002) were two factors significantly associated with being overweight. CONCLUSION: We observed significant gender differences in the prevalence of obesity among young adults in Uganda. Contrary to expectation, we did not observe significant rural-urban differences in the prevalence of overweight.


Subject(s)
Obesity, Abdominal/epidemiology , Obesity/epidemiology , Overweight/epidemiology , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Adolescent , Adult , Age Factors , Body Mass Index , Cross-Sectional Studies , Educational Status , Female , Humans , Life Style , Male , Prevalence , Sex Factors , Socioeconomic Factors , Surveys and Questionnaires , Uganda/epidemiology , Waist Circumference , Young Adult
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