scholarly journals Waist Circumference, Waist Hip Ratio and Body Mass Index in Female Undergraduates of a Tertiary Institution in Nigeria: a Cross-sectional Study

Author(s):  
Adamu Rufa'i ◽  
Karimah Sajoh ◽  
Adewale Oyeyemi ◽  
Abdullahi Gwani

Purpose: Obesity and overweight are associated with variety of conditions detrimental to health, wellbeing and longevity. Waist circumference and waist to hip ratio are indicators of risk of central adiposity while body mass index is an indicator of overall risk of obesity. Body mass index has been traditionally used as a standard for determining overweight and obesity. This study was designed to determine the relationship between waist circumference, waist to hip ratio and body mass index among female undergraduates of a Nigerian University. Also prevalence of obesity based on waist circumference, waist to hip ratio and body mass index was explored. Methods: Three hundred and sixty four apparently healthy subjects were recruited for the study using a cross-sectional simple random sampling technique. Waist circumference, waist to hip ratio and body mass index were determined using standard methods. Descriptive statistics were used to summarize the physical characteristics of the participants. Pearson correlation coefficient was used to analyze the relationship between waist circumference, waist to hip and body mass index. Results: The mean age, waist circumference, waist to hip ratio and body mass index of the participants were 22.5 (±2.20) years, 79.36 (±10.4) cm, 0.81 (±0.06), and 22.48 (±4.50) kg/m2 respectively. The prevalence of obesity based on body mass index, waist circumference and waist to hip ratio was found to be 6.3%, 17.6% and 25.5% respectively. Significant relationship was found between waist circumference and body mass index (r = 0.81; p< 0.001), and between waist to hip ratio and body mass index (r = 0.25; p< 0.001). Conclusions: Body mass index was related to waist circumference, as well as to waist to hip ratio. The prevalence of obesity based on waist to hip ratio was highest among female undergraduates in a Nigerian university. Awareness on the importance of waist to hip ratio as indicator of risk of obesity should be created among female undergraduates in Nigerian Universities and by extension among the women population in general.

2020 ◽  
Vol 19 (2) ◽  
pp. 1-5
Author(s):  
Aso Sabir Saeed ◽  
◽  
Osama MohammadAmin Shukr

Background: Several studies have demonstrated an association between obesity and migraine. It’s still unclear whether migraine is the cause or it's the result of obesity. Objective: We investigated the prevalence of migraine among obese and non-obese individuals and analyzed the relationship between migraine prevalence and obesity. Patients and Methods: This is cross-sectional observational study was carried out at the neurology outpatients’ department of the Rizgary Teaching Hospital in Erbil, Iraq, from July 1st , 2018 to September 30, 2019. We interviewed and examined 300 persons, both obese (n=154) and non-obese (n=146), and of both gender. All of them were adults (>18 years old). Each person's weight, height, body mass index (BMI), and waist circumference were measured.The diagnosis of migraine was made according to the International Headache Society’s criteria. Obesity was present if the individual’s BMI is ≥30 and/or waist-to-hip ratio is >0.9 in females and >1.0 in males. Results: Out of the 300 persons, 14 males (8.5%) got migraines while migraine was found in 37 females (27.4%), irrespective of their weight. Out of the 300 persons, the prevalence of migraine among obese individuals was 21.4% (n=33) and while in non-obese individuals was 12.3% (n=18). There was a statistically significant difference between the groups (p-value=0.045). The overall prevalence of migraine was 16.9% of the persons interviewed. Conclusion: The results showed that migraine is more prevalent among obese persons than non-obese persons and the difference was statistically significant. Keywords: Migraine, obesity, BMI, headache


PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz

2021 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Grace Octania ◽  
Mohammad Rizki Akbar ◽  
Sofiati Dian

Body mass index (BMI) and cardiorespiratory fitness are considered risk factors for cardiovascular disease. Chronic inflammation associated with adiposity as well as the hemodynamic changes that occur when there is an increase in BMI suggests a possible association between BMI and cardiorespiratory fitness. This study aims to analyze the relationship between BMI and cardiorespiratory fitness. A cross-sectional study was conducted using weighted cardiac training test results for the period January 1st, 2014 to December 31, 2019, from the Non-Invasive Diagnostic Division, the Department of Cardiology and Vascular Medicine, Dr. Hasan Sadikin Bandung. Subjects included in the study were those who achieved the maximum estimated heart rate based on age or less than 10 beats per minute, and/or the exercise test was stopped due to fatigue with a Borg 17 scale. Patients with multiple conditions were excluded from the study (taking beta-blockers, having a history of heart failure and diabetes mellitus, currently undergoing cardiac rehabilitation), along with patients with incomplete data. The maximum oxygen consumption in the form of the metabolic equivalent of tasks (METs) was estimated based on the speed and inclination of the stage reached during the treadmill training test using the Bruce protocol. The percentage of fitness is obtained by comparing the METs achieved with the estimated maximum METs based on age and gender. The relationship between BMI and percentage of fitness was analyzed using the Pearson correlation test. The total number of subjects included in the study was 51 subjects. The mean BMI of the subjects was 25.65 ± 3.22 kg / m2. The mean fitness percentage was 107.29 ± 23.89. Analysis of the relationship between BMI and fitness showed a negative but insignificant relationship (r = -0.135, p = 0.345). An increase in body mass index has a tendency to be associated with a decrease in cardiorespiratory fitness.


1970 ◽  
Vol 5 (02) ◽  
pp. 30-37 ◽  
Author(s):  
Fitriani Rahmawati ◽  
Nuryani Sidarta

BACKGROUND : Health problem that caused by higher BMI have grown broadly. Musculoskeletaldisorders due to higher BMI will cause an excessive burden on the lumbosacral joints. .Moreover, excess waistcircumference can also lead to malformation of lumbal curvature.Purpose: This study aims to determine the relationship between higher Body Mass Index (BMI) and excesswaist circumference with the higher curvature in young adult.Method: This study used observational study with cross-sectional design involving 88 students whoperformed measurement of body weight, height, and waist circumfrences, also lumbar curve examination. Themeasurement of waist circumference was done by circling the flexible tape on waist. For the measurement ofthe lumbar curve,each respondent is measured by a flexible ruler.Results: chi square test obtained p = 0,000 in high BMI with the increasing of lumbar curve and p = 0,000 inexcess waist circumference with the increasing of lumbar curve. So, there is a correlation between higher BMIand excess waist circumference with the increase of lumbar curve in the young adults.Conclusions: In this study showed that higher BMI and excess waist circumference have correlation with theincrease of lumbar curve in the students.Keywords: body mass index, waist circumference, tape measure, hyperlordosis, flexible ruler.


2018 ◽  
Vol 24 (1) ◽  
pp. 672-678
Author(s):  
Muhammad Younus ◽  
Sabah Usman ◽  
Samia Jawed

Obesity is a global health problem and its prevalence is increasing continuously. It is the fifth leading cause of death worldwide and is associated with decreased lung functions. Objective: This study was designed to compare the pulmonary functions in obese and non-obese subjects. Additionally, we aimed to correlate the body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) with pulmonary function tests (PFT’s). Material and Methods: This cross sectional comparative study was conducted at the Institute of Chest Medicine, King Edward Medical University, Lahore, Pakistan. One hundred and twenty individuals consisting of 60 obese (30 males, 30 females) and 60 non-obese (30 males, 30 females), fulfilling the inclusion criteria, were enrolled through non-probability purposive sampling. Informed written consent was taken from all subjects. The demographic information of these subjects such as name, age, sex, height, weight, body mass index, waist circumference, and waist-to-hip ratio were recorded. Spirometry of all the subjects was performed on Spirolab iii. Correlation between FVC, FEV1, FEV1/ FVC ratio and body mass index, waist circumference, and waist to hip ratio was measured by Pearson coefficient. A p value ​


2021 ◽  
pp. 1-9
Author(s):  
Nur Demirbas ◽  
Ruhusen Kutlu ◽  
Aysel Kurnaz

<b><i>Introduction:</i></b> Obesity and overweight are important public health problems. Mindfulness can promote healthier living and dietary habits, which might support weight loss. This study aimed to evaluate the relationship between eating awareness and body mass index (BMI) and body composition in adults. <b><i>Methods:</i></b> This cross-sectional analytical study was conducted with 446 volunteers. The heights, weights, and waist circumferences of the participants were measured, and bioelectrical impedance analyses were performed. A sociodemographic information form prepared by the researchers and the Turkish version of the Mindful Eating Questionnaire (MEQ) were administered to the volunteers. <b><i>Results:</i></b> In this study, 31.2% (<i>n</i> = 139) of the participants were overweight and 46.9% (<i>n</i> = 209) were obese. There was no statistically significant relationship between gender and BMI. The total mean MEQ score was found to be 88.26 ± 13.3 (53–144). The awareness scores of women of normal weight were statistically significantly higher than those of women with obesity (<i>p</i> = 0.001). There was no difference between BMI categories and awareness scores among male participants. While participants with obesity had higher scores for eating disinhibition, their eating control, eating discipline, and interference scores were lower than those of participants with normal weight (<i>p</i> &#x3c; 0.001). A weak statistically significant correlation was found between the awareness subdimension of the scale and the ages, BMIs, waist circumferences, and body fat rates of the participants. <b><i>Conclusion:</i></b> It was observed that mindful eating was lower in women with overweight and obesity than that in women with normal weight. We believe that it is important to increase awareness of eating in order to protect against the diseases caused by obesity and for a healthy life.


2019 ◽  
Vol 5 (3) ◽  
pp. 180-185 ◽  
Author(s):  
Md Sabbir Ahmed ◽  
Kanij Fatima Anee ◽  
Mohammad Tazrian Abid ◽  
Md Oashkuruni Hridoy ◽  
Al Riaj Hasan ◽  
...  

The objectives of this study was to assess the prevalence of overweight and obesity in a sample of students from the Patuakhali Science and Technology University, Bangladesh and examine their usual eating habits. A cross-sectional survey of 260 students (65.38% male and 34.62% female) aged 20.81 ± 1.63 were chosen randomly from the Patuakhali Science and Technology University campus during May to July 2019. Students were asked to fill out a self-reported questionnaire that included questions on their eating, drinking and smoking habits. Also, their weight, height and body mass index were measured. Body mass index (BMI) was used to assess students' weight status. Statistical analyses were performed using the SPSS software (version 23.0). Results shows that, majority of the students (67.3%) were of normal weight. Based on BMI classification, the prevalence of overweight was more common among the male students compared to females (23.5% vs. 10%). In contrast, prevalence of obesity was more common among female students (3.3% vs. 2.9%). A significant difference in BMI was observed between male and female students (p <0.01). The majority of the students (70.4%) reported that they took meals regularly. In terms of breakfast intake, less than half of the students (44.6%) reported that they took their breakfast daily. There was a significant gender difference in the frequency of snacks intake apart from regular meal (p <0.05). Female students were more prone to snacks consumption compared with male students. The unhealthy eating habits of the students was indicated by the fact that near about half of the students (46%) reported eating fried food daily or three to four times per week. Soft drinks consumption among the students were significantly associated with gender (p <0.05). The present results suggest the necessity of nutrition and health promotion programs for university students, especially programs emphasizing weight management. Asian J. Med. Biol. Res. June 2019, 5(3): 180-185


Author(s):  
Violet K. Moselakgomo ◽  
Marlise Van Staden

Background: Prevalence of obesity in youths has drastically increased in both industrialised and non-industrialised countries, and this transition resulted in an increased prevalence of chronic diseases.Aim: The study aimed to comparatively examine prevalence of overweight and obesity status based on tri-ponderal mass index and body mass index in estimating body fat levels in South African children.Setting: The study was conducted in Limpopo and Mpumalanga provinces of South Africa.Methods: A cross-sectional survey of 1361 (boys: n = 678; girls: n = 683) children aged 9–13 years was undertaken. The children’s age and sex-related measurements of body weight, waist-to-height ratio, waist-to-hip ratio, triceps skinfold, subscapular skinfolds and sum of skinfold were taken using the International Society for Advancement of Kinanthropometry protocol. TMI and BMI calculations classified children according to weight and age categories. Descriptive statistics, Spearman’s correlations and multiple linear regression analyses were set at ≤ 0.05.Results: Obesity classifications on TMI and BMI among children were as follows: Boys: 7.3%, 2.6%; 2.2%, 0.7%; Girls: 4.0%, 1.0%; 1.8%, 0.6%. Body weight, WHtR, WHpR, TSKF, SSKF and ΣSKF significantly correlated with TMI (r = 0.40, p 0.001; r = 0.73, p 0.001; r = −0.09, p 0.001; r = 0.50, p 0.001; r = 0.51, p 0.001 and r = 0.52, p 0.001) and BMI (r = 0.81, p 0.001; r = 0.59, p 0.001; r = −0.22, p 0.001; r = 0.63, p 0.001; r = 0.67, p 0.001 and r = 0.66, p 0.001). Regression analysis revealed that body weight, WHtR, WHpR, TSKF, SSKF and ΣSKF accounted for 65% and 85% of variance in children’s TMI (R2 = 0.647, F[6 1354] = 413.977, p 0.001) and BMI (R2 = 0.851, F[6 1354] = 1288.218, p 0.001).Conclusion: TMI revealed strikingly higher incidence of overweight and obesity in South African boys and girls than BMI. Future studies are needed to clarify sensitivity of TMI over BMI in quantifying obesity prevalence in children and adolescents.


2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Aulia Miladitiya

Abstract : Obesity, Overweight, Sensitivity, Specificity, Waist Circumference. Body mass index couldn’t differentiated correlation between body weight with muscle or body fat and indication distribution of body fat. Waist circumference measurement needed because it is convenient and strongly correlated with intra-abdominal fat content. This study aims to assess sensitivity and specificity of waist circumference measurement in identified overweight and obesity on adult women compared with body mass index as gold standard. This Study design is observational with cross sectional approach. Total of 80 women subjects aged >18-49 years old was selected using cluster random sampling. Sensitivity and specificity were analyzed from Receiver Operator Characteristic Curve. Cut-off waist circumference which used to identify overweight and obesity on adult women were >80 cm and >88 cm. The use of 80,1 cm of waist circumference was shown to have a good sensitivity and specificity (82% and 72%). Waist circumference have fair diagnostic power (area under curve was 0,784). Waist circumference can used to identify overweight and obesity because have sensitivity and specificity value good.


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