“…This prevalence was weakly compared with that of others studies: prevalence of prediabetes(21.5%) in Ihuokpara Nigeria [15] , lower than in the United States (33.1%) [16], lower than Chengdu study (34.5%) [17] in the Southern Cone of Latin America (17.8%). [18] However, this prevalence was higher than the prevalence in Shandong province (6.0%) [19] that in Hangzhou province (10.50%), [20] higher than that and Florida (7.3%).…”
Bivariate relationships between prediabetes and sex, obesity, age, hypertension was etablished and multivariate logistic regression analyses were used to identified pre-diabetes risk factors. Results: The overall prevalence of prediabetes was (15.03%) higher in women than in men. Through multivariate logistic, it appeared that female sex, overweight/obesity were the risk factors for prediabetes development. Conclusion: The prevalence of prediabetes was high in the studied population of Yaounde. Female sex, overweight, obesity and hypertension were the major risk factors. Public health education to improve awareness
“…This prevalence was weakly compared with that of others studies: prevalence of prediabetes(21.5%) in Ihuokpara Nigeria [15] , lower than in the United States (33.1%) [16], lower than Chengdu study (34.5%) [17] in the Southern Cone of Latin America (17.8%). [18] However, this prevalence was higher than the prevalence in Shandong province (6.0%) [19] that in Hangzhou province (10.50%), [20] higher than that and Florida (7.3%).…”
Bivariate relationships between prediabetes and sex, obesity, age, hypertension was etablished and multivariate logistic regression analyses were used to identified pre-diabetes risk factors. Results: The overall prevalence of prediabetes was (15.03%) higher in women than in men. Through multivariate logistic, it appeared that female sex, overweight/obesity were the risk factors for prediabetes development. Conclusion: The prevalence of prediabetes was high in the studied population of Yaounde. Female sex, overweight, obesity and hypertension were the major risk factors. Public health education to improve awareness
“…These participants if the risk factors of obesity are not controlled may be predisposed to diabetes. Studies in Nigeria have documented the high incidence of impaired fasting glucose as well as impaired glucose tolerance [56][57][58]. Elevated glucose levels in the intermediate range are caused primarily by a deficiency in insulin secreted by pancreatic beta cells.…”
Objective: Obesity is a major public health issue and a significant risk factor for metabolic disorders. This prospective study was aimed at evaluating the prevalence of obesity, lipid profiles, and fasting blood glucose (FBG) among female premedical students of NAU, Nnewi Campus, Nigeria.Methods: A total of 320 female premedical students aged 18–35 years were recruited. The participants were classified using Body mass index(BMI) as underweight (35), overweight (104), obese (26), and control (155). FBG and lipids were estimated using enzymatic methods. Obesity was assessed using BMI and waist circumference. Blood pressure (BP) was measured using accoson sphygmomanometer.Results: The study observed 10.9% underweight, 32.5% overweight, and 8.1% obesity. Underweight was higher among participants aged 18–23 years (48.6%), while overweight and obesity were more among participants aged 24–29 years (57.7% and 53.8%). Central obesity was observed in 28.8% of participants. BPs were higher in obese and overweight participants than in other groups. FBG was higher in obese and overweight participants than in other groups. The mean total cholesterol (TC) and low-density lipoprotein cholesterol (LDLC) were significantly higher in obese and overweight participants, while high-density lipoprotein cholesterol (HDLC) was significantly lower when compared to their corresponding values in underweight and control participants (p<0.05).Conclusions: The study showed high prevalence of underweight, overweight, and obesity among the study population. The significantly higher levels of TC, LDLC, FBG, and elevated BP with significantly lower HDLC in overweight and obese participants compared to control suggests a possible risk of dyslipidemia, diabetes mellitus, and hypertension. The significant correlation between the lipid parameters, FBG, and anthropometric indices suggests high-risk cardiovascular disorders.
“…They found a prevalence of 2.2% in a group of urban adults in Nigeria. Subsequently, Nwatu, et al [22] reported a prevalence of 21.5% in an urban community in Enugu state and Ogbu and Nebo [23] who reported the 25% prevalence of prediabetes among hypertensive in Enugu. The gradual increase overtime may be attributed to increase in change of life style and dietary modifications.…”
Article HistoryThis study was designed to investigate the prevalence of prediabetes and the associated risk of kidney disease in Nnewi, Nigeria. A total of 277 apparently healthy subjects (73males and 204 females) who were willing to participate were recruited. Anthropometric indices and blood pressure were measured using standard methods while the demographic data and dietary pattern of subjects were obtained using a wellstructured questionnaire. 5mls of blood was collected from eligible subjects (20 prediabetes and 20 non prediabetes ) and dispensed in fluoride oxalate and plain containers for glucose, creatinine (Cr), Urea(Ur), Na+, K+, Cl-, and HCO3-estimation respectively using standard methods. The result showed a prevalence of 7.2% prediabetes in the population. BMI was significantly higher in prediabetes than the control groups (39.4±5.8 vs 29±4.4kg/m2; P>0.05). Again, significant increases in the prediabetic values of FBG (117.54±16.84 vs 83±16.84mg/dl; P>0.05) than the control group were observed. The SBP (128± 11.26 vs 120±2.2mmHg; P>0.05) and DBP (92±4.43 vs 60±5.3mmHg; P>0.05) was also higher in prediabetic groups. Interestingly, result showed no significant difference between the renal parameters in prediabetes and non prediabetes (p>0.05). The study therefore, suggests that the major determinant for predabetes in the study population may be hypertension and obesity whereas kidney function was not impaired.
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