ABSTRACT
OBJECTIVE: To devise a flowchart suitable for assessing risk of trichomoniasis, chlamydia and gonorrhoea in an adolescent population, not all of whom will be sexually experienced or currently in a relationship. METHODS: The data used to derive the flowchart were generated from cross-sectional microbiological surveys of girls aged 14-19 years in Port Harcourt, Nigeria. The flowchart screened on the basis of: (i) sexual experience; (ii) recent sexual activity; (iii) a positive urine leukocyte esterase (LE) test; and (iv) among LE negatives, a history of malodorous/pruritic discharge. FINDINGS: Using this flowchart, we found that 26.2% of all adolescents screened would receive treatment for cervicitis and vaginitis. Chlamydial, gonococcal, and trichomonal infections were correctly diagnosed in 37.5%, 66.7%, and 50% of the cases, respectively. CONCLUSION: Although the flowchart is more suitable for an adolescent population than the vaginal discharge algorithm used in syndromic management protocols, it still lacks precision and needs adapting to local settings.
Subject(s)
Mass Screening/methods , Sexually Transmitted Diseases/prevention & control , Adolescent , Adolescent Behavior , Adult , Algorithms , Carboxylic Ester Hydrolases/urine , Cross-Sectional Studies , Female , Humans , Interviews as Topic , Nigeria/epidemiology , Risk Assessment , Sexually Transmitted Diseases/diagnosis , Sexually Transmitted Diseases/epidemiology , Software DesignSubject(s)
Sexually Transmitted Diseases/epidemiology , Adolescent , Analysis of Variance , Female , Humans , Nigeria/epidemiology , Odds Ratio , Prevalence , Risk Factors , Sexual PartnersABSTRACT
This study assessed the nutritional status of Nigerian adolescent girls living in two areas of south-eastern Nigeria. A cross sectional survey was undertaken in a rural village in Ogoniland, and five secondary schools in Port Harcourt, south-eastern Nigeria. All (386) menarcheal girls aged 14-19 y living in the rural village, and a stratified cluster sample (845) of menarcheal girls aged 14-19 in the five urban schools were investigated. Mean heights and weights of rural girls were around -1 Z-score below the British reference median. 10.4% of rural and 4.7% of urban girls were stunted (< OR =2nd centile, British 1990 reference values). After calculating mean body mass index-for-age, various cut-off points for low body mass index were tested. At a cut-off of < OR =9th centile, 15.6% of rural and 8.0% of urban girls would be classified as thin. Girls with a haemoglobin <10.Og/dl were significantly more likely to have a low body mass index than those with haemoglobin values > OR =10.0 g/dl. More studies are needed to refine the definition and interpretation of low body mass index in adolescents.
