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1.
Niger. j. clin. pract. (Online) ; 17(6): 743-749, 2015.
Article in English | AIM | ID: biblio-1267127

ABSTRACT

Background: Disease burden from communicable and noncommunicable diseases is a significant health challenge facing many developing nations. Among the noncommunicable diseases; is obesity; which has become a global epidemic associated with urbanization. Objective: The aim was to evaluate the prevalence of weight abnormalities; their pattern of distribution and regional differences among apparently healthy urban dwelling Nigerians. Methods: A cross-sectional community-based descriptive survey was carried out in five urban cities; each from one geo-political zone of Nigeria. Multistage sampling procedures were used to select participants using the World Health Organization STEPS instrument. Ethical approval and consents were duly and respectively obtained from the Ethics Committee in the tertiary centers and participants in each of these cities. Analysis was performed using SPSS version 20 (IBM Corp.; Amonk; NY; released 2011) with P value set at 0.05. Results: A total of 5392 participants were recruited; of which; 54.5 and 45.5 were males and females respectively. Mean (standard deviation) age and body mass index (BMI) were 40.6 (14.3) years and 25.3 (5.1) kg/m 2 . Obesity; overweight; and underweight were found in 17; 31; and 5 of participants respectively. Significantly; while underweight declined with increasing age; overweight; and obesity increased to peak in the middle age brackets. Age of ? 40 years was found to confer about twice the risk of becoming overweight. The prevalence of obesity and mean BMI were significantly higher both among the females and the participants from southern zones. Conclusion: Obesity and overweight are common in our urban dwellers with accompanying regional differences. Attainment of middle age increases the likelihood of urban dwelling Nigerians to become overweight/obese. There is therefore the need to institute measures that will check development of overweight/obesity early enough; while improving the nutritional status of the few who may still be undernourished


Subject(s)
Obesity , Overweight , Thinness , Urban Population
2.
Br J Med Med Res ; 2014 Dec; 4(34): 5324-5334
Article in English | IMSEAR | ID: sea-175691

ABSTRACT

Aims: To determine the relationship between admission blood glucose level, infarct size and stroke outcome in black African patients with acute ischaemic stroke. Study Design: The study was cross-sectional. Place and Duration of Study: University of Maiduguri Teaching Hospital, Northeast Nigeria, from January 2006 to January 2009. Methodology: Sixty-two patients were recruited and clinical characteristics recorded. Stroke severity was assessed using the National Institutes of Health Stroke Score(NIHSS); disability assessed using Modified Rankin score (mRS) and Barthel Activity of Daily Living (ADL) index (BI). Infarct volume was calculated from CT scan using the ‘method of measurements of the largest diameters’. Random blood glucose (RBG) was measured on admission, and dichotomised into those with hyperglycaemia > 7mmol/L those without < 7 mmol/L. Bivariate statistics were used to compare characteristics and outcome. Kaplan-Meier Statistic was used to compare mortality rates. The influence of hyperglycaemia on infarct volume and outcome was determined using logistic regression. Results: Fourteen (22.6%) patients had hyperglycaemia on admission. Those with hyperglycaemia had a larger infarct volume (P < .0001) and higher NIHSS (P = .003) on presentation. They had worse stroke outcome (Discharge BI: P = .001; NIHSS: P < 0.0001; mRS: P = .001) and higher 30-day mortality (P = .005). Admission RBG positively correlated with infarct size (P < .001), NIHSS (P = .01), mRS (P = .02) and negatively with BI (P = .02). Survival time is significant with Log Rank (P = .009) and Wilcoxon test statistics (P = .006). Hyperglycaemia predicted a larger infarct (OR = 4.46, P = < .0001), poorer NIHSS on discharge (OR = 3.44, P = .001), poorer mRS (OR = 2.53, P = .02) and 30 – day mortality (OR = 2.04, P = .046). Conclusion: Hyperglycaemia is associated with a larger infarct size, severe stroke at presentation and a worse stroke outcome.

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