BackgroundThere is a rapid shift in the social context of drinking, with a large proportion of regular drinkers favouring outdoor-open space drinking, such as motor-parks, by the road sides, the majority of which are unlicensed premises for drinking.MethodThis study determined the prevalence and determinants of harmful or hazardous alcohol use and possible dependence, defined as a “likely alcohol use disorder” (AUD) in a community sample of 1119 patrons of open space drinking places in Ibadan, Nigeria, using the AUDIT. Scores of 8 and above signified a likely AUD. The associations between a likely AUD and demographic characteristics were sought using Chi square statistics and binary regression analysis was used to determine the effects of multiple confounding variables on a likely AUD using the SPSS version 20.0 software.ResultsOf the entire population, the prevalence of likely AUD was 39.5%, and 44.4% out of the drinking population Multivariate analysis showed that Islamic religion was a negative predictor for likely AUD, OR = 0.13, 95% CI (0.06–0.26), while rural residence, OR = 1.84, 95% CI (1.34–2.53) and cigarette smoking OR = 1.81, 95% CI (1.37–2.40) were predictive of likely AUD.ConclusionOutdoor-open space drinkers are likely to have AUD compared with the general population. Open space drinking has a huge public health implication because of the associated health risks and injuries.

BACKGROUND: Prompt and accurate diagnosis is needed to prevent the untoward effects of anaemia on children. Although haematology analyzers are the gold standard for accurate measurement of haemoglobin or haematocrit for anaemia diagnosis, they are often out of the reach of most health facilities in resource-poor settings thus creating a care gap. We conducted this study to examine the agreement between a point-of-care device and haematology analyzer in determining the haematocrit levels in children and to determine its usefulness in diagnosing anaemia in resource-poor settings. METHODS: EDTA blood samples collected from participants were processed to estimate their haematocrits using the two devices (Mindray BC-3600 haematology analyzer and Portable Mission Hb/Haemotocrit testing system). A pairwise t-test was used to compare the haematocrit (PCV) results from the automated haematology analyzer and the portable haematocrit meter. The agreement between the two sets of measurements was assessed using the Bland and Altman method where the mean, standard deviation and limit of agreement of paired results were calculated. RESULTS: The intraclass and concordance correlation coefficients were 0.966 and 0.936. Sensitivity and specificity were 97.85% and 94.51% respectively while the positive predictive and negative predictive values were 94.79% and 97.73%. The Bland and Altman`s limit of agreement was -5.5 ̶ 5.1 with the mean difference being -0.20 and a non-ignificant variability between the two measurements (p = 0.506). CONCLUSION: Haematocrit determined by the portable testing system is comparable to that determined by the haematology analyzer. We therefore recommend its use as a point-of-care device for determining haematocrit in resource-poor settings where haematology analyzers are not available.

No abstract

No abstract