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Articles by U.M. Odenigbo
Total Records ( 3 ) for U.M. Odenigbo
  U.M. Odenigbo , C.U. Odenigbo and O.C. Oguejiofor
  This study described three anthropometric measures (height, weight and Body Mass Index [BMI]) of elderly in Asaba, Nigeria. Data was derived from 176 subjects who attended the Medical Lectures of the Ebreme foundation for the elderly in Asaba. The SPSS (Statistic Package for Social Science) version 17.0 was used for data analysis. This study had 62.5% males and 37.5% females. Approximately 18.2% was aged 50-59 years, 43.8% (60-69 years), 29% (70-79 years) and only 9.1% aged 80 years or more. The general population had a mean weight of 70.98±13.98 kg, height 1.61±0.11 m and BMI 27.36±5.60 kg/m2. The male subjects had significant lower body weight (70.55±12.07 kg) and BMI (25.90±4.2160 kg/m2) than the females (71.70±16.76 kg and 29.79±6.7060 kg/m2 respectively) with taller height (1.65±0.08 m) than the women (1.55±0.12 m). The weight and height decreased with age; 50-59 year group had 79.75±15.21 kg, 60-69 years (70.56±12.58 kg), 70-79 years (69.25±13.49 kg) while from 80 years and above had 61.00±10.62 kg. The height decreased from 1.66±0.07 meters (50-59 years group) to 1.54±0.17 meters (from 80 years and above). This study revealed that the nutritional indices of the elderly in Asaba, Nigeria decline with higher magnitude before the age of 60 years and from 80 years. This call for special nutritional and health attention to the aged before and after their 60th and 80th birthday respectively.
  U.M. Odenigbo , C.C. Nkwoala and O.C. Okpala
  This study compared the nutritional status and academic performance of Low Birth Weight (LBW) and Normal Birth Weight (NBW) school-aged population in Nigeria. A total of 119 subjects were involved in this study from a purposely selected one rural and one urban school in Abia state. Pre tested and validated questionnaires were used in data collection. Academic performance was obtained from their school records, while birth weights and ages were obtained from health/immunization cards. SPSS version 15.0 was used for data analysis. The subjects comprised of 57.1% males and 42.9% females, of 9-12 years old. Low prevalence (14.3%) of LBW was found. All three indicators used for nutritional status assessment (weight for age; height for age; BMI) showed more than 50% of study population as having normal nutritional status (96.64, 74.79 and 63.03% respectively). Stunting was 10.08%, overweight 2.52% and 6.72%, while obesity was 0.84%. This study revealed a significant (p<0.05) influence of birth weight on nutritional status with the use of BMI and weight for age indicators. The only child found underweight (<-2SD weight for age) had a LBW. The NBW group had higher percent of normal nutritional status than LBW group (Weight for age: 98.04% Vs 88.24%, BMI 65.69% Vs 47.06%). Stunted was found among 11.77% of the LBW and 9.80% of NBW groups (p>0.05). The subjects’ birth weight had no significant (p>0.05) influence on their academic performance. The findings of this study emphasize more attention to children born with LBW for improvement in their growth and academic performance.
  U.M. Odenigbo , U.C. Odenigbo , O.C. Oguejiofor and P.O.U. Adogu
  Body Mass Index (BMI) has been considered a gold standard for defining overweight and obesity. BMI is an indicator of overall adiposity while Waist Circumference (WC) and Waist-to-Hip Ratio (WHR) are indicators for abdominal adiposity. To determine which of these indices-WC and WHR compared with BMI as the gold standard, is the best predictor of obesity in healthy adult Nigerians. Four hundred apparently healthy civil servants were recruited for the study by stratified random sampling. WC, WHR and BMI were determined using standard methods. Data were available for 400 healthy subjects (196 males and 204 females). WC was found to have a strong predictive capacity for obesity but this was only in female subjects (sensitivity 100%). The Negative predictive value was also 100% which implies accurate exclusion of female subjects who don’t have obesity. WHR showed poor predictive ability for obesity in both sexes (Positive predictive value 33.3% in male and 54.8% in female) though sensitivity and negative predictive value were relatively high and better amongst the females than male. In women, significant correlation exist between BMI and WC (p<0.001), BMI and WHR (p<0.01), WC and WHR (p<0.01) whereas, in men, the correlation was only significant for BMI and WC (p<0.01). This study strongly suggests that WC has a better predictive index for obesity than WHR.
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