scholarly journals Correlation between Body Mass Index and abdominal circumference in Belgian adults: a cross-sectional study

2017 ◽  
Vol 55 (1) ◽  
pp. 28-35
Author(s):  
Gaëlle Wilmet ◽  
Rolf Verlinde ◽  
Jan Vandevoorde ◽  
Laure Carnol ◽  
Dirk Devroey

AbstractIntroduction. Traditionally, the body mass index (BMI) is used to describe anthropometric measurements and to assess weight-related health risks. However, the abdominal circumference (AC) might also be a valuable parameter to estimate this risk. This study aims to describe an association between the BMI and the AC.Material and Methods. Participants were recruited during the Brussels Food Fair in 2014. They completed a questionnaire with their medical history, and health related parameters such as blood pressure, weight, height and AC were measured.Results. In total, 705 participants were analyzed. Men had a mean BMI of 27.3 kg/m2 and a mean AC of 98.7 cm. Women had a mean BMI of 26.0 kg/m2 and a mean AC of 88.2 cm. The Pearson’s correlation coefficient between the BMI and the AC was 0.91 for men and 0.88 for women. There was a strong positive correlation between the BMI and the AC. In the identification of patients at high risk for weight-related diseases, the use of the AC identified more patients than the BMI. Especially more women were ranking in a higher risk class with the AC than with the BMI classification. Both the BMI as well as the AC identified most diseases with an increased relative risk.Conclusion. There is a strong correlation between the BMI and the AC. There are too few arguments to prefer the use of AC above the BMI to detect people at high risk for weight-related diseases.

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Sameer Al-Ghamdi ◽  
Mamdouh M. Shubair ◽  
Abdulrahman Aldiab ◽  
Jamaan M. Al-Zahrani ◽  
Khaled K. Aldossari ◽  
...  

2021 ◽  
Vol 30 ◽  
Author(s):  
Luana Santos Vital Alves Coelho ◽  
Silvia Gonçalves Soares ◽  
Gabriela Duarte Carvalho ◽  
Virgínia Junqueira Oliveira ◽  
Vinícius Silva Belo ◽  
...  

ABSTRACT Objective: to analyze the association between violence in childhood and increase in the Body Mass Index among adolescents. Method: a cross-sectional study, conducted with 136 adolescents aged from 10 to 19 years old, monitored by a Multiprofessional Residency Program in Adolescents' Health, in health units from the municipality of Divinópolis-MG. The anthropometric assessment was conducted from March to June 2018; and information was collected referring to the socioeconomic level, demographic factors, food consumption, and physical activity of the participants. The variable related to violence in childhood was composed of five groups, obtained from a factorial analysis. Multiple regression models were used to identify the variables associated with the increase in Body Mass Index, with a significance level of 5%. Results: the prevalence of excess weight was 31.8%. The adolescents participating in the study consumed soft drinks (66.2%) and industrialized food products (66.9%) every week and ate in front of the TV every day (54.4%). The most prevalent type of abuse was emotional neglect, which affected 100% of the sample under study. An association was evidenced of physical neglect in childhood and intake of industrialized food products with the increase in the Body Mass Index z-score. Conclusion: violence in childhood and the consumption of industrialized food products were associated to the increase in Body Mass Index among adolescents. Investments in public policies for comprehensive promotion of health and protection of children and adolescents are imperious.


2019 ◽  
Vol 5 (1) ◽  
pp. 52-59
Author(s):  
Risaldi Risaldi ◽  
Ratih Wirapuspita ◽  
Iriyani Kamarudin

Factors that affect worker producktivity is the intake level of nutrient of worker who can be seen from their nutritional status. The need for workers nutrition must be in accordance with the job. A worker with a good nutritional state will have a better working capacity and endurance, on the other hand a worker with a poor nutritional state will accelerate exhaustion and this can disrupt productivity. This study aims to know the correlation of nutritional status that consists of body mass index, energi intake, protein intake,  and intake of iron to the productivity of female workers in PT. Idec Abadi Wood Industries. This study uses cross sectional study design. The sample in this study was a female worker at the wholesale totaling 50 people, by measured the body mass index (BMI) and recall 24 hours. Data analysis technique used is multiple linier regression. Result from the study showed an association between nutrional status (BMI) and productivity (0,001 < 0,05), energy intake with productivity (0.008 < 0,05), intake of iron with productivity (0.045 < 0.05). And there was no significant association between protein intake and productivity (0,243 < 0,05). Companies were advised to make a special program for the monitoring process and the adequacy of nutrient intake of workers. The company needs to add medical personel especially in the field of nutrition. Dissemination of information through sosialization, posters or leflets on the pattern of balanced nutrition for workersKeywords   : Productivity, Nutritional Status


2018 ◽  
Vol 71 (suppl. 1) ◽  
pp. 65-69
Author(s):  
Andrea Bozic ◽  
Ivan Mikov ◽  
Djordje Gajdobranski ◽  
Branislava Brestovacki-Svitlica ◽  
Zlatko Ciric

Introduction. Even though lumbar pain is one of the most common medical problems of today, it is difficult to determine its precise origin. When identifying the risk factors for developing lumbar pain, one should also take into account the personal characteristics such as gender, age, body mass index, smoking habits, physical activities etc. The basic goal of this study was to assess the relationship between the socio-demographic characteristics (age, gender, level of education), the body mass index, smoking habits, and lumbar pain in nurses. Material and Methods. This cross-sectional study was conducted in five healthcare institutions in the area of Vojvodina by interviewing nurses by means of the modified Nordic questionnaire. Results. The participants were predominantly female, the majority of them having secondary school degree. The study revealed a statistically significant relationship between lumbar pain and the increase of age and body mass index, while smoking habits did not influence the occurrence of lumbar pain. Conclusion. A better organization of work in relation to the age and gender as well body mass control would reduce the risk of lumbar pain.


2021 ◽  
Author(s):  
Virgilio E Failoc-Rojas ◽  
Eduardo Díaz-Guevara ◽  
Diego Chambergo-Michilot ◽  
Sandra Zeña-Ñañez ◽  
Karoline Sánchez-Sánchez ◽  
...  

Abstract Background We aimed to evaluate the correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in Chocope, Trujillo. Methods This cross-sectional study included patients with untreated metabolic syndrome. Health professionals measured the anthropometric parameters of participants as per the international guidelines. Pearson’s correlation coefficients and single and multiple regression models were used for analysis. Results Data from 250 participants showed homogeneous distribution with respect to age, comorbidities, and biochemical properties according to sex. The mean age was 53.6 years. A positive correlation of neck circumference with abdominal circumference (r = 0.6 and 0.74 for females and males, respectively) and body mass index (r = 0.51 and 0.65 for females and males, respectively) was observed. The linear correlation model showed that a 1-cm increase in neck circumference increased the abdominal circumference by 2.20 cm (p < 0.001) and 2.27 cm (p < 0.001) and body mass index by 0.72 kg/m2 (p < 0.001) and 0.94 kg/m2 (p < 0.001) in males and females, respectively, independent of other variables. Conclusions In participants with metabolic syndrome in this study, neck circumference showed a strong correlation with abdominal circumference and body mass index. This anthropometric parameter can be extremely useful for evaluating obesity among patients with metabolic syndrome.


2014 ◽  
Vol 12 (2) ◽  
pp. 164-167 ◽  
Author(s):  
Isabela Corrêa Barboza ◽  
Daniella de Batista Depes ◽  
Ilzo Vianna Júnior ◽  
Marisa Teresinha Patriarca ◽  
Raquel Martins Arruda ◽  
...  

Objective To compare the endometrial echo values obtained by transvaginal ultrasonography with the body mass index of postmenopausal patients; to verify if there is higher prevalence of endometrial thickening in women with body mass index ≥30.Methods This is an analytical and cross-sectional study that evaluated 294 patients. Postmenopausal women were included, and those on hormone therapy were excluded. The variables evaluated were body mass index (considering obesity if >30), number of pregnancies, years since menopause, and age. These variables were correlated with endometrial echography.Results There was a statistically significant correlation between overweight and obese patients and increased endometrial thickness (p=0.0236). The correlation between age and endometrial echo was negative and statistically significant, that is, the older the woman, the lower the endometrial thickness (p=0.0478). Pregnancies and years since menopause showed no statistical significance in relation to endometrial echo, with p=0.0614 and p=0.115, respectively.Conclusion There was positive and significant correlation between body mass index ≥30 and endometrial thickeness.


2021 ◽  
Vol 8 (17) ◽  
pp. 1174-1180
Author(s):  
Srividya Kalavagunta ◽  
Sravani Kuppam ◽  
Uma M ◽  
Srinivas Gunda ◽  
Archana Bhat

BACKGROUND With the availability of more sophisticated methods, the utility of body mass index (BMI) as a measure of obesity and body fat estimation is being questioned. The current study aims to compare the estimation of body fat derived from BMI to that of directly measured bio impedance analysis (BIA). METHODS This is a cross sectional study conducted among IT employees of Bangalore City. Body fat % estimated from BMI using formula (adult BF = (1.20 x BMI) + (0.23 x age) - (10.8 x sex) - 5.4 where value for male = 1 & female = 0) and bioimpedance analysis (BIA) was compared using Bland-Altman analysis. RESULTS A total of 6901 participants were included and out of 6901 participants, 67.63 % were women. The mean age was 29.6 ± 6.68 years. The mean of the difference in body fat % calculated from BMI and estimated by BIA was 3.29, (- 9.99 to + 16.58 %). The mean difference was 3.43, (- 9.58 to + 16.45 %) and 2.89, (- 10.90 to + 16.68 %) among men and women respectively. CONCLUSIONS The results showed that the body fat estimated by BMI varies significantly from body fat estimated from BIA. KEYWORDS Obesity, Body Mass Index, Body Fat Percentage, Bioelectrical Impedance


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