scholarly journals Correlation of Body Mass Index with Waist Circumference, Random Blood Sugar and Dietary Pattern as Predictors of Diabetes Mellitus

2018 ◽  
Vol 6 (3) ◽  
pp. 274-278
Author(s):  
Sunil K. Yadav ◽  
Renuka Pathak ◽  
Rekha K. Singh ◽  
Ram Vinod Mahato

The objective of this study is correlation of body mass index with waist circumference, random blood sugar and dietary pattern to predict diabetes in university boys (18-25years). A study of random blood glucose, waist circumference and body mass index of 50 subject’s age (18-25years) was carried out. The nutritional dietary pattern of the subjects using the 24 hours dietary recall techniques was done Data was collected with a structured questionnaire. Subjects were measured for waist circumference and weight and height determent for BMI. Estimation of random blood glucose with the help of ACCU- CHECK indicated that all the boys had normal level. Subjects consisted of 50 university boys, the mean participant’s average weight is 68.21±9.31kg, average height is 173.76±7.43cm and average BMI 22.50±2.23kg/m2. Normal BMI (18.5-22.9kg/m2) was found in (48%), underweight (2%), overweight (34%) and obese (16%) of the subject studied.  The mean waist circumference of participants is 85.16±6.38cm. The abnormal waist circumference (WC) was observed in 28% (n=14) and normal waist circumference is 72% (n=36) of the subject studied. The mean random blood sugar is 122.88±9.51mg/dl. The random of the subject blood sugar method is 100% normal.  The nutrition intake of energy, protein, fat, carbohydrates is there mean of participants is average of energy 1786.41±335.17kcal, protein 62.70±17.4gm, fat 47.18±14.00gm and carbohydrates 256.37±59.38gm. There was a statistically positive correlation between waist circumference, body mass index and  random blood sugar . Therefore, waist circumference, non-invasive techniques has a good correlation with BMI and therefore abdominal obesity is a predictor of diabetes.Int. J. Appl. Sci. Biotechnol. Vol 6(3): 274-278

2014 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Nenni Septyaningrum ◽  
Santi Martini

ABSTRACTThe increasing prevalence of overweight and obesity is associated with the increasing incident of type 2 diabetes mellitus. Obesity, especially abdominal obesity is an important risk factor for the onset of diabetes. The objective of this study was to determine the relationship between body mass index, waist circumference and waist hip ratio with blood glucose level. The study design was cross-sectional. The study population was elderly posyandu member aged 45 to 70 years in Menur clinic work area who were registered in elderly posyandu activities in May 2013. The numbers of sample were 60 respondents who drawn by simple random sampling method. The variabels of this study were the characteristics of respondent, body mass index, waist  circumference,  waist hip ratio and fasting blood glucose level. The study showed that respondents classified as overweight (38%), obesity (33, 3%), abdominal obesity based on waist circumference  (77.8%), abdominal obesity based on waist hip ratio (81,7 %) and blood glucose level more than 125 mg/dl (8.3%). Pearson correlation test showed that there was relationship between body mass index with blood sugar levels (p=0,007; r=0,345), between waist circumference with blood sugar levels (p=0,001; r=0,424) and  between waist hip ratio with blood sugar levels (p =0,002; r=0,392). Waist circumference as the strongest factor related to blood glucose level. Waist circumference measurement should be done in elderly posyandu activities to detect high-risk individuals with diabetes. Keywords: Diabetes, body mass index, waist circumference, waist hip ratio,                     blood glucose level


2014 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Nenni Septyaningrum ◽  
Santi Martini

ABSTRACTThe increasing prevalence of overweight and obesity is associated with the increasing incident of type 2 diabetes mellitus. Obesity, especially abdominal obesity is an important risk factor for the onset of diabetes. The objective of this study was to determine the relationship between body mass index, waist circumference and waist hip ratio with blood glucose level. The study design was cross-sectional. The study population was elderly posyandu member aged 45 to 70 years in Menur clinic work area who were registered in elderly posyandu activities in May 2013. The numbers of sample were 60 respondents who drawn by simple random sampling method. The variabels of this study were the characteristics of respondent, body mass index, waist  circumference,  waist hip ratio and fasting blood glucose level. The study showed that respondents classified as overweight (38%), obesity (33, 3%), abdominal obesity based on waist circumference  (77.8%), abdominal obesity based on waist hip ratio (81,7 %) and blood glucose level more than 125 mg/dl (8.3%). Pearson correlation test showed that there was relationship between body mass index with blood sugar levels (p=0,007; r=0,345), between waist circumference with blood sugar levels (p=0,001; r=0,424) and  between waist hip ratio with blood sugar levels (p =0,002; r=0,392). Waist circumference as the strongest factor related to blood glucose level. Waist circumference measurement should be done in elderly posyandu activities to detect high-risk individuals with diabetes. Keywords: Diabetes, body mass index, waist circumference, waist hip ratio,                     blood glucose level


2021 ◽  
Vol 26 ◽  
pp. 2515690X2110110
Author(s):  
Wiraphol Phimarn ◽  
Bunleu Sungthong ◽  
Hiroyuki Itabe

Aim. The efficacy of triphala on lipid profile, blood glucose and anthropometric parameters and its safety were assessed. Methods. Databases such as PubMed, ScienceDirect, Web of Science, and Thai Library Integrated System (ThaiLIS) were systematically searched to review current evidence of randomized controlled trials (RCT) on triphala. RCTs investigating the safety and efficacy of triphala on lipid profile, blood glucose and anthropometric parameters were included. Study selection, data extraction, and quality assessment were performed independently by 2 authors. Results. Twelve studies on a total of 749 patients were included. The triphala-treated groups showed significantly reduced low-density lipoprotein-cholesterol, total cholesterol and triglyceride in 6 studies. Five RCTs demonstrated triphala-treated groups led to statistically significant decrease in body weight, body mass index and waist circumference of obese patients. Moreover, triphala significantly decreased fasting blood glucose level in diabetic patients but not in people without diabetes. No serious adverse event associated with triphala was reported during treatment. Conclusions. This review summarized a current evidence to show triphala might improve the lipid profile, blood glucose, the body weight, body mass index and waist circumference under certain conditions. However, large well-designed RCTs are required to confirm this conclusion.


2021 ◽  
Vol 17 (3) ◽  
pp. 147
Author(s):  
Ginta Siahaan ◽  
Tiarlince Bakara ◽  
Yusnita Yusnita ◽  
Kasmiyeti Kasmiyeti

Correlation of macronutrient intake with body mass index, blood sugar levels, and total blood protein in drug usersBackground: Random blood sugar level and total blood protein need to be measured among drug users because their macronutrient intakes (carbohydrates, fat, protein, and energy) are not appropriate to the pattern of daily habits before uses drugs. Drug users had decreased appetite during the influence and withdrawal symptoms of drugs with the impacts on their body mass index (BMI). Objective: To analyze the correlation of macronutrient intakes between the random blood sugar level, total blood protein, and BMI drug users.Methods: This research was conducted with a cross-sectional design and observational study. 73 drug users were included in the study with the screening by inclusion criteria. 24-hour food recall was used to collect the macronutrient intakes, random blood sugar levels and total blood protein were monitored by the GOD-PAP method, and BMI was measured by weight and height. Data analysis used Pearson’s correlation test in bivariate and multivariate was carried out by multiple linear regressions. Results: Pearson’s correlation analysis showed that there was a significant correlation between macronutrient intakes (energy, carbohydrate, fat) with random blood sugar level, total blood protein, and BMI. BMI was the most affected by energy (β=0.531), random blood sugar level was the most affected by carbohydrates (β=0.073), and total blood protein was the most affected by protein (β=0.837).Conclusions: Macronutrient intake is significantly related to BMI, random blood sugar levels, and total blood protein in drug users. Community collaboration with related parties such as the public health service and National Narcotics Agency will very quickly detect drug side effects early on eating disorders that will affect the nutritional status of its users.


2017 ◽  
Vol 25 (3) ◽  
pp. 60
Author(s):  
Renata Emilia Marques Aguiar ◽  
Cauê Vazquez La Scala Teixeira ◽  
Heverton Paulino ◽  
José Rodrigo Pauli ◽  
Alessandra Medeiros ◽  
...  

Aerobic and resistance exercise have been prescript to prevention and non pharmacological treatment of hypertension. However, there is a lack of studies investigating the effects of concurrent training in hypertensive women. Thus, the aim of this study was to investigate the effects of concurrent training program on rest blood pressure, biochemical variables (blood glucose and total cholesterol) , anthropometric (body mass index and waist circumference) and functional fitness in hypertensive women. Eighteen hypertensive postmenopausal and untrained women (59±12 years old) started in the intervention, but only ten subjects finished. The voluntaries were enrolled in concurrent training, 60 min/day, 3 times a week, during 6 months. Systolic and diastolic blood pressure, blood glucose, total cholesterol, body mass index, waist circumference and functional fitness (AAPHERD) were measured pre and post experimental period. Data were analyzed using the Student’s t test with significance level set at 5% (P?0.05) and Cohen's Effect Size (ES). The results showed significant improvement in systolic and diastolic blood pressure at rest. The other variables did not show significantly changes, but the ES was medium and large for several variables (body mass index, blood glucose, total cholesterol, agility, coordination, aerobic fitness, strength endurance and general functional fitness index). In conclusion, this study confirms that 6 month of concurrent training program improved systolic and diastolic blood pressure in hypertensive women. In addition, the protocol suggests an improvement in anthropometric, biochemical and functional variables related to health.


2006 ◽  
Vol 14 (3) ◽  
pp. 144-145 ◽  
Author(s):  
Adamu G. Bakari A.G. ◽  
Geoffrey C. Onyemelukwe G.C. ◽  
Bala G. Sani B.G. ◽  
Ibrahim S. Aliyu I.S. ◽  
Sani S. Hassan S.S. ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Slimane Mehdad ◽  
Abdeslam Hamrani ◽  
Khalid El Kari ◽  
Asmaa El Hamdouchi ◽  
Amina Barakat ◽  
...  

Objectives. The study aimed to assess the relationship between body fat and each of body mass index (BMI) and waist circumference (WC), and to test the effectiveness of fat mass (FM), percent of body fat (PBF), BMI, and WC in predicting high levels of fasting blood glucose (FBG).Methods. A total of 167 adolescents aged 11–17 years were recruited from Rabat region. BMI and WC were determined using standard equipments. FM and PBF were derived from isotope dilution technique. FBG was determined by the hexokinase method.Results. Regardless of the weight status, BMI showed a strong positive correlation with FM and PBF in both genders. WC was significantly correlated with FM in boys and girls, and with PBF in different groups of girls and boys of the study sample. However, there was no significant relationship between WC and PBF in normal weight and overweight-obese groups of boys. FBG was highly correlated with FM and PBF in girls of the study sample and in overweight-obese girls. Similar significant relationship between FBG and both BMI and WC was observed in overweight-obese girls, while there was no significant association between FBG and other variables in boys and normal-weight girls.Conclusion. BMI and WC were closely associated with FM and PBF, respectively. However, the degree of these associations depends on gender and weight status. BMI may provide a better proxy estimate of overall adiposity than WC; nevertheless, both of them would appear to be a reasonable surrogate for FM and PBF as screening tools to identify adolescents at risk of developing excess body fat and high level of FBG.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nadia Haleem ◽  
Sarwat Abbasi ◽  
Mohammad Idress ◽  
Zahid Irfan Marwat ◽  
Saadia Sadiq ◽  
...  

Background: Obesity is a global challenge all over the world. Body mass index is a good marker to measure the adiposity. Obesityis one of the important risk factors for type 2 diabetes mellitus. Normal random blood glucose levels are closely regulated in healthwith a normal range of 4.4-7.8mmol/l (79-140mg/dl), despite the varying demands of food, exercise and fasting. Many diabeticpatients are obese and studies suggest a strong association between the two.Objective: To find an association of BMI with blood glucose level in undergraduate healthy students of Ayub Medical CollegeMaterial and Methods: This cross-sectional study was carried out in 2018, capillary blood samples were collected from 152students of Ayub Medical College Abbottabad to evaluate blood glucose level by Accu chek softclix® lancing device and Accu chekglucometer®, BMI was calculated by the formula (weight in kg/ height in meters squared). Data was collected and analyzed bySPSS version 23.Results: Total 152 (100%) healthy participants with 84 (55.3%) males and 68 (44.7%) females included in this study. Their ageswere ranged from 18-25 with a mean age of 21.02 years (min 17 max 26) having a standard deviation of 1.75. By taking thecorrelation between two parameters i.e. body mass index and serum random blood glucose level by Pearson product of moment(p=.214, r=101) a non-significant result was found.Conclusion: It is concluded that there is no significant association found between two parameters (BMI and serum BGL) in healthyyoung adults.


2021 ◽  
Vol 15 (11) ◽  
pp. 3247-3251
Author(s):  
Yar Muhammad Tunio ◽  
Ruqayya Farhad ◽  
Abdul Rashid ◽  
Najeeb Ullah Ansari ◽  
Sadia Chaudhary ◽  
...  

Objectives: To evaluate the frequency of different risk profiles and associated clinical parameters in patients with nonalcoholic fatty liver disease (NAFLD). Methodology: This cross-sectional study was conducted at the Gambat Institute Of Medical Sciences,Gambat District, Khairpur, between March 2019 to January 2020. A total of 345 patients participated in the study. Demographics, clinical features, investigations, and causative agents of NAFLD were noted in a document. Patients with raised ALT, fatty liver on imaging, aged between 18-75 years were a part of the study. Exclusion criteria included patients with overconsumption of alcohol, positive HBsAg, positive anti-HCV, and other underlying liver diseases with known origin. Patients’ blood samples were also tested for fasting blood sugar, random blood sugar, fasting cholesterol and fasting triglyceride levels.Levels of glucose, triglycerides and cholesterol were measured with an autoanalyzer; Photometer 4010; Beohrnger Mannheim; using the enzymatic-calorimetric methods. All data was analyzed using SPSS version 24. Results: The mean age of the patient was 48.4 ± 12.2 years and a mean body mass index of 30.2 The mean cholesterol was 199.4 ± 54.3 mg/dl. The majority i.e. > 60 percent were women with only 128 (37.1%) males (Table 1). The body mass index (BMI) was significantly higher in female patients as compared to males (p<0.001). The males had a significantly greater frequency of traits for metabolic syndrome as compared to women i.e. 111 (86.7%) vs. 145 (66.8%) (p=0.02). Obesity in patients was also significantly associated with female gender. We found a significant relationship of hypercholesterolemia in patients with DMT2 (p=0.04). Similarly, the majority of the patients i.e. 55 (47%) with DMT2 also had hypertriglyceridemia (p=0.002). Conclusion: The present study indicated that female gender, obesity, and diabetes mellitus were significantly associated with NAFLD. NAFLD places a significant burden on the healthcare system and is associated with poor quality of life of patients. Metabolic syndrome is another leading association that needs to be explored in further detail. Recognition of high-risk profile patients can help establish early diagnosis and hence treatment plans can be implemented at an early stage of disease. Keywords: fatty liver, chronic liver disease, non-alcoholic liver disease, NAFLD, obesity, diabetes mellitus, dyslipidemia


2016 ◽  
Vol 29 (suppl 1) ◽  
pp. 59-61 ◽  
Author(s):  
Mônica FERNANDEZ ◽  
Rosana Farah TOIMIL ◽  
Zied RASSLAN ◽  
Elias Jirjoss ILIAS ◽  
Ana Lúcia Torloni GRADINAR ◽  
...  

ABSTRACT Background: The study of body composition in patient candidates for bariatric surgery is directly related to the increase and distribution of body fat in the development of cardiovascular disease. Aim: To correlate anthropometric indicators and bioelectrical impedance in the assessment of body fat in female candidates for bariatric surgery. Methods: Cross-sectional, observational study of 88 women. The weight, height, body mass index and waist circumference data were evaluated in the anthropometric analysis. The body fat was determinate by bioelectrical impedance conducted according to the manufacturer´s recommended technique with a specific severe obesity formula. The patients were divided into two subgroups according to the average waist circumference and body mass index for better analysis of the results. Results: The group had a mean age of 39.7 years (±7.2), average weight of 125.6 kg (±16.2), mean body mass index of 48.7 kg/m2 (±6.4) and the mean waist circumference 137.6 cm (±12.4). Negative and significant relationship between BMI values waist circumference and resistance obtained by bioelectrical impedance were found. By analyzing the two groups the mean BMI and waist circumference, a significant relationship was observed, ie, the higher the degree of obesity less resistance was obtained by bioelectrical impedance. The higher is the obesity the lower is value found for resistance. Conclusion: The increase of anthropometric indicators (BMI and waist circumference) determined reduction in resistance and reactance obtained by bioelectrical impedance analysis in obese women candidates to bariatric surgery.


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