scholarly journals Abdominal obesity-related risk factors in children from public schools of Barbacena, Minas Gerais, Brazil

2022 ◽  
Vol 40 ◽  
Author(s):  
Mariana das Dores Paiva Canuto ◽  
Adriele Vidal Lucas Silva ◽  
João Victor Martins ◽  
Marlene de Melo Fonseca ◽  
Nathália Sernizon Guimarães ◽  
...  

ABSTRACT Objective: To evaluate the sociodemographic and lifestyle factors associated with abdominal obesity in children from public schools in Barbacena, state of Minas Gerais, Brazil. Methods: This is a cross-sectional study conducted on 326 students aged 7 to 9 years from public schools in the urban area of the city. Anthropometric data included body weight, height, body mass index according to age, waist circumference, and waist-to-height ratio. Food consumption was evaluated using the Previous Day Food Questionnaire. Abdominal obesity was assessed based on waist circumference and waist-to-height ratio. The bivariate and multivariate analyses were performed by logistic regression, estimating the crude and adjusted odds ratio (OR), with 95% confidence interval. Results: The prevalence of overweight was 30.7%; whereas the prevalence of abdominal obesity was 9.2 and 12.6% according to waist circumference and waist-to-height ratio, respectively. Boys (OR 2.76; 95%CI 1.22–6.25) and children from central schools (OR 2.73; 95%CI 1.08–6.80) presented an increased chance of abdominal obesity according to waist circumference. Abdominal obesity according to waist-to-height ratio was associated with the central location of the schools (OR 2.18; 95%CI 1.02–4.63) and the habit of skipping supper (OR 2.01; 95%CI 1.00–4.09). Conclusions: The findings showed that being a boy, studying in a central school, and skipping supper were the main risk factors associated with abdominal obesity.

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Oliver Okoth Achila ◽  
Millen Ghebretinsae ◽  
Abraham Kidane ◽  
Michael Simon ◽  
Shewit Makonen ◽  
...  

Objective. There is a dearth of relevant research on the rapidly evolving epidemic of diabetes mellitus (particularly Type 2 diabetes mellitus) in sub-Saharan Africa. To address some of these issues in the Eritrean context, we conducted a cross-sectional study on glycemic and lipid profiles and associated risk factors. Methods. A total of 309 patients with diabetes mellitus on regular follow-up at the Diabetic and Hypertensive Department at Halibet Regional Referral Hospital, Asmara, were enrolled for the study. Data on specific clinical chemistry and anthropomorphic parameters was collected. Chi-squared (χ2) test or Fischer’s exact test was used to evaluate the relationship between specific variables. Multivariate logistic regression (backward: conditional) was undertaken to identify the factors associated with increased odds of suboptimal values in glucose and specific lipid panel subfractions. Results. High proportions of patients (76.7%) had suboptimal levels of HbA1c with a mean±SD of 8.6%±1.36, respectively. In multivariate regression analysis, the likelihood of HbA1c≥7% was higher in patients with abnormal WHR (AOR=3.01, 95% CI, 3.01 (1.15–7.92=0.024)) and in patients without hypertension (AOR=1.97, 95% CI (1.06–3.56), p=0.021). A unit reduction in eGFR was also associated with HbA1c≥7% (AOR=0.99, 95% CI (0.98–1=0.031)). In a separate analysis, the data shows that 80.9% of the patients had dyslipidemia. In particular, 62.1% of the patients had TC≥200 mg/dL (risk factors: sex, hypertension, and HbA1c concentration), 81.6% had LDL‐C≥100 mg/dL (risk factors: sex and hypertension), 56.3% had TG≥150 (risk factors: sex, HbA1c, and waist circumference), 62.8% had abnormal HDL-C (risk factors: waist circumference), 78.3% had non‐HDL<130 mg/dL (risk factors: duration of disease, reduced estimated glomerular filtration rate, and HbA1c), and 45.3% had abnormal TG/HDL (risk factors: sex, age of patient, FPG, and waist circumference). Conclusions. The quality of care, as measured by glycemic and specific lipid targets, in this setting is suboptimal. Therefore, there is an urgent need for simultaneous improvements in both indicators. This will require evidence-based optimization of pharmacological and lifestyle interventions. Therefore, additional studies, preferably longitudinal studies with long follow-up, are required on multiple aspects of DM.


2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Bijay Khatri ◽  
Madan P. Upadhyay ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  

Abstract BackgroundObesity has become a global epidemic and an important risk factor for non-communicable diseases. Earlier thought to be a problem of developed world, it has now become a problem of low- and middle-income countries like Nepal. In absence of a routine surveillance or a registry system, the actual burden and trend of obesity in Nepal is unknown. Obesity and overweight are recognized risk factors for hypertension and associated with cardiovascular disease. The aim of the study was to find out burden of obesity, using three commonly employed metrics in hospital outpatient setting of a low-income country as predictors of hypertension, and compare ability of different anthropometric measurements through a non-inferiority study to predict hypertension.MethodsThis cross-sectional study was conducted among 40-69 years outpatients in a tertiary Eye and ENT hospital in a semi-urban area of Nepal among randomly selected 2,256 participants from 6,769 outpatients who were evaluated in Health Promotion and risk factor screening service. We did correlation analysis to determine the relationship between anthropometric measurement and blood pressure. The area under the Receiver Operating characteristic curve of Body Mass Index (BMI), Waist to Height Ratio (WHtR) and Waist Circumference (WC) was calculated and compared. ResultsThe prevalence of obesity and overweight by BMI was 16.09% and 42.20% respectively; by Waist-to-Height-Ratio was 32.76% which is two times higher than obesity measured by BMI. High waist circumference was observed among 66.76% participants. Female participants had greater prevalence of high WC (77.46%) than male (53.73%) (p<0.001). Prevalence of hypertension and pre-hypertension was 40.67% and 36.77% respectively. The areas under the curve were significantly higher than 0.5 for BMI (0.593), WHtR (0.602) and WC (0.610).ConclusionWaist circumference correlated well with obesity and hypertension. It also had higher predicting ability than WHtR and BMI to predict hypertension. Waist circumference thus proved to be non-inferior to two other commonly used metrics. It proved superior in detecting obesity in female. This simple and inexpensive tape measurement may play an important role in future diagnosis of obesity and prediction of HTN in resource constrained settings of developing countries.


2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Bijay Khatri ◽  
Madan P. Upadhyay ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  

Abstract Background: Obesity has become a global epidemic with a rise in noncommunicable diseases. It is now becoming the problem of low- and middle-income countries such as Nepal. Conventional risk factors are present in a high proportion in the Nepalese population. As a routine surveillance or registry system is absent, the actual burden and trend of obesity and hypertension in Nepal are unknown. Hypertension and other cardiovascular diseases can be prevented by detecting risk factors such as obesity and high blood pressure. A simple anthropometric measurement could be used to determine the risk of hypertension. However, the best predictor of hypertension remains contentious and controversial. We aimed to determine the burden of obesity and hypertension and test the ability to determine hypertension through different anthropometric measurements in hospital outpatients in a low-income setting.Methods: This hospital-based cross-sectional descriptive study was conducted from June to December 2019 among 40-69 year outpatients in a tertiary eye and ENT hospital in a semi-urban area of Nepal among a randomly selected sample of 2,256 participants from 6,769 outpatients visited in Health Promotion and risked factor screening service. We performed a correlation analysis to determine the relationship between anthropometric measurements and blood pressure. The area under the receiver operating characteristic (ROC) curve of body mass index (BMI), waist to height ratio (WHtR) and waist circumference (WC) was calculated and compared.Results: The mean (SD) age of the participants was 51.75 (8.47) years. The overall prevalence of obesity and overweight by BMI was 16.09% and 42.20%, respectively. The overall prevalence of abdominal obesity by waist-to-height ratio was 32.76%, which is higher than obesity by BMI. High waist circumference was observed among 66.76% participants, whereas female participants had a very higher prevalence of high waist circumference (77.46%) and male participants (53.73%) (p<0.001). The prevalence of hypertension among the participants with BMI≥25 kg/m2, WHtR≥0.5 and WC≥ cutoff values was 45.97%, 42.52% and 45.28%, respectively. The overall prevalence of hypertension and prehypertension was 40.67% and 36.77%, respectively. Male participants had a slightly higher prevalence of hypertension (42.72%) than female participants (39.00%). The areas under the curve (AUCs) were significantly higher than 0.5 for BMI (0.570, 95% CI: 0.548-0.592), WC (0.585, 95% CI: 0.563-0.607) and WHtR (0.586, 95% CI: 0.564-0.608). In both genders, the area under the curve was significantly higher than 0.5 (P<0.01). In all age groups, the area under the curve was also significantly higher than 0.5.Conclusion: Waist circumference was both correlated as well as had higher predictive capacity amongst WHtR and BMI and may play a major role in the future diagnosis of HTN in Nepali adults. Regardless of the anthropometric metrics used to measure overweight and obesity, the hospital setting is an opportunity centre to screen for overweight, obesity and hypertension, which are major risk factors for NCDs.


2015 ◽  
Vol 19 (6) ◽  
pp. 1074-1080 ◽  
Author(s):  
Zeng Ge ◽  
Jiyu Zhang ◽  
Xiaorong Chen ◽  
Liuxia Yan ◽  
Xiaolei Guo ◽  
...  

AbstractObjectiveTo examine the association of 24 h urinary Na excretion and Na:K with obesity in Chinese adults.DesignPopulation-based cross-sectional study using a four-stage stratified sampling strategy.SettingShandong Province, China.SubjectsChinese adults (n 1906) aged 18–69 years who provided complete 24 h urine samples.ResultsOdds of obesity increased significantly across increasing quartiles of urinary Na excretion (1·00, 1·54, 1·69 and 2·52, respectively, for overweight; 1·00, 1·20, 1·50, and 2·03, respectively, for obesity; 1·00, 1·44, 1·85 and 2·53, respectively, for abdominal obesity (assessed by waist circumference); and 1·00, 1·28, 1·44 and 1·75, respectively, for abdominal obesity (assessed by waist-to-height ratio); P for linear trend <0·001 for all). In addition, odds of abdominal obesity, but not odds of overweight and obesity, increased significantly with successive Na:K quartiles. Additionally, for each increment in urinary Na excretion of 100 mmol, odds of overweight, obesity, abdominal obesity (by waist circumference) and abdominal obesity (by waist-to-height ratio) increased significantly by 46 %, 39 %, 55 % and 33 %, respectively. Similarly, with a 1 sd increase in Na:K, odds of abdominal obesity (by waist circumference) and abdominal obesity (by waist-to-height ratio) increased significantly by 12 % and 15 %, respectively.ConclusionsThese findings suggest that 24 h urinary Na excretion and Na:K might be important risk factors for obesity in Chinese adults.


Author(s):  
Aman Kumar ◽  
Rupali Choudhury ◽  
Sushma Yadav

Background: The burden of non-communicable diseases such as diabetes and coronary heart disease is increasing both globally and in India. The present study was conducted to estimate the prevalence of risk factors associated with non-communicable disease and to study the association of the risk factors with non-communicable disease among tribal population of Lefunga Block of Tripura.Methods: A cross-sectional study was conducted in Lefunga block during April to June 2017 among 150 Indigenous tribal population of Tripura. Multistage random sampling was used. A predesigned, pretested, semi-structured modified WHO STEPs questionnaire was used. Chi square and Multiple Logistic Regression was done to see association.Results: Mean age was 39.03±12.76 years. Majority (66.7%) were females and (44.7%) had studied up to secondary. (26%) were tobacco smokers and (68%) were tobacco chewing. (36%) were alcoholic. (89.3%) had exercising for <2.5 hrs. 68% were taking vegetables >10 times/ week and 88.7% were taking fruits <5 times/week. (26%) were overweight, (45.3%) had abdominal obesity and 31% were hypertensive. 93.3% were aware of the harmful effects of tobacco consumption. Multiple logistic regression analysis showing factors associated with male were more likely to had higher abdominal obesity and alcohol user >50 yrs, government employee. With smoking, male having more chances of smoking and Age group of 20-30 yrs and 31-40 yrs.Conclusions: The mean age was 39.03±12.76 years. (26%) were overweight, (45.3%) had abdominal obesity and (31%) were hypertensive. NCD clinic, IEC should be increased. 


2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Arda Kılınç ◽  
Nilgün Çöl ◽  
Beltinge Demircioğlu-Kılıç ◽  
Neriman Aydin ◽  
Ayse Balat ◽  
...  

Objective: To investigate the prevalence of obesity and associated factors during childhood in Southeastern Turkey. Another objective was to determine the cut-off points of Waist to Height Ratio (WHtR) values for defining obesity/abdominal obesity. Methods: The community-based descriptive cross-sectional study was conducted in Gaziantep Turkey between November 2011 and December 2011 with 2718 primary school/high schools students aged 6-17 years. The SPSS 22.00 was used for the analysis of data. Results: The prevalence of overweight, obesity, abdominal obesity, was 13.2%, 4.2% ,26.4%, respectively. There was a reverse relationship between BMI/WC values and sleep durations (p<0.05). The BMI/WC values were higher in students with computer usage time ≥1 hours in a day (p<0.05). Parental obesity status has an effective role on the WC/BMI values of children (p<0.05). The WHtR was a good predictor of diagnosis on obesity and abdominal obesity (AUC=0.928, p<0.0001; AUC=0.920, p<0.0001; respectively). The optimal cut-off values for obesity and abdominal obesity were detected as 0.5077, 0.4741, respectively. Conclusions: The WHtR can be used for diagnosis of obesity/abdominal obesity. Parental obesity, short sleep duration and computer use more than one hour per day are risk factors for the development of obesity in children and adolescents. doi: https://doi.org/10.12669/pjms.35.6.748 How to cite this:Kilinc A, Col N, Demircioglu-Kilic B, Aydin N, Balat A, Keskin M. Waist to height ratio as a screening tool for identifying childhood obesity and associated factors. Pak J Med Sci. 2019;35(6):1652-1658. doi: https://doi.org/10.12669/pjms.35.6.748 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2019 ◽  
Vol 5 ◽  
pp. 1
Author(s):  
Ashok K. Jeppu ◽  
Kavitha A. Kumar ◽  
◽  

Obesity is a global epidemic. Obesity related comorbidities include hypertension, diabetes, dyslipidemia, obstructive sleep apnea, and sudden death. Abdominal adiposity has been blamed for causing cardiovascular complications. The body roundness index (BRI) has been considered to be a superior anthropometric measure for abdominal adiposity. The aim of the study was to find the relationship of blood pressure in healthy individuals to BRI, waist circumference (WC), and waist to height Ratio (WHtR). It also tried to find out the relation of BRI to WC and WHtR. This cross-sectional study was conducted on 300 individuals aged between 18 and 60 years who were apparently healthy (not on any treatment or physical training) and willing to participate in this study. A structured questionnaire was used to collect the data. Parameters like height, weight, and WC were measured. BRI and WHtR were calculated. The data was analyzed using descriptive and inferential statistics. We observed that BRI was well correlated to the WC, body mass index (BMI), and WHtR. Both the systolic and diastolic blood pressure correlated well with BRI. BRI and WHtR, both are good parameters to evaluate the blood pressure of an individual.


2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Sanjib K. Upadhyay ◽  
Bijay Khatri ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  

Abstract BackgroundObesity has become a global epidemic and an important risk factor for non-communicable diseases. Earlier thought to be a problem in the developed world, it has become a problem in low-and middle-income countries, including Nepal. In the absence of routine surveillance or a registry system, the actual burden and trend of obesity in Nepal is unknown. Obesity and overweight are recognized as risk factors for hypertension and associated with cardiovascular diseases. The study aimed to find out the burden of obesity, using three commonly employed metrics in the hospital outpatient setting of a developing country as predictors of hypertension, and compare the ability of different anthropometric measurements through a non-inferiority study to predict hypertension.MethodsThis cross-sectional study was conducted among 40-69 years outpatients in a tertiary Eye, and ENT hospital in a semi-urban area of Nepal among randomly selected 2,256 participants from 6,769 outpatients evaluated in Health Promotion and Risk Factor Screening Service. We did a correlation analysis to determine the relationship between anthropometric measurement and blood pressure. The area under the Receiver Operating Characteristic curve of Body Mass Index (BMI), Waist to Height Ratio (WHtR), and Waist Circumference (WC) was calculated and compared.ResultsThe prevalence of obesity and overweight by BMI was 16.09% and 42.20%, respectively; by WHtR was 32.76%, which is two times higher than obesity measured by BMI. High WC was observed among 66.76% of participants. Female participants had a greater prevalence of high WC (77.46%) than males (53.73%) (p<0.001). Prevalence of hypertension and pre-hypertension was 40.67% and 36.77%, respectively. The areas under the curve were significantly higher than 0.5 for BMI (0.593), WHtR (0.602), and WC (0.610).ConclusionWC correlated well with obesity and hypertension. It also had a higher predicting ability than WHtR and BMI to predict hypertension. WC thus proved to be non-inferior to two other commonly used metrics. It proved superior in detecting obesity in female. This inexpensive and simple non-tension tape measurement may play an important role in future diagnosis of obesity and prediction of HTN in resource-constrained settings of developing countries.


2020 ◽  
Vol 41 (Supplement_1) ◽  
Author(s):  
A Kerimkulova ◽  
A S Ospanova ◽  
R G Nurpeissova ◽  
G M Kamalbekova ◽  
T H Rymbaeva

Abstract Introduction The obesity and overweight epidemic, together with increasing cardiovascular disease, represent a major health problem worldwide, and their occurrence in childhood and adolescence has increased in recent time. Purpose to assess the association of  waist circumference (WC) and waist-to-height ratio (WHtR) coefficient with occurrence rate in adolescents with high blood pressure. Materials and methods The results of a single-step cross-sectional study of teenagers aged 12-13 years studied in 12 secondary schools in our city (Kazakhstan) are presented. The study included adolescents in the amount of 1519 (average age, standard deviation 12.3 + 0.46 years). For representing the outcomes there were used  the measurement of weight, height, BMI, WC, WHtR and the blood pressure of adolescents. Criteria for BP: normal BP (SBP and DBP &lt;89th percentile); high normal BP (SBP and DBP ≤90 and 94th percentile); arterial hypertension (SBP and DBP &gt; 95th percentile). ROC analysis was used to study the relationship between WC, WHtR and BMI. The distinctive impact of  WC or WHtR on the development of these states was expressed as the area under the curve (AUC 95% CI). Results From 1519 studied teenagers of 12-13 years, boys were 49.1% (n = 745), girls 50.9% (n = 774). Population with normal BP composed 62.7%, normal raised BP - 24.8%, hypertension - 12.4%, WC˂90th percentile at 98.5% (n = 939). The distribution by sex was: girls are more likely to have abdominal obesity than boys, (χ²=19.940, df = 1, р˂0.001). An elevated level of  WHtR was detected in 7.6% (n = 115) of adolescents. Among boys were 7.7% (n = 57) and girls 7.5% (n = 58), χ²=0.013, df = 1, p = 0.908. ). Girls (10.8%) with high blood pressure have increase WC than boys (2.1%), χ²=26.689, df = 1, р˂0.001. Adolescents with high blood pressure have enhanced WHtR - 12.2% than adolescents with normal blood pressure (2.7%), χ²=27.518, df = 1, р˂0.001. Increase of WC &gt; 90th percentile enhances with 4.5 times (95% CI: 2.44-8.53) and WHtR with 2.7 times (95% CI: 1.85-4.04) in adolescents with high blood pressure. WC (AUC = 832; 95% CI: 0.792-0.872) and WHtR (AUC = 0.812; 95% CI: 0.770-0.854was a better predictor of abdominal obesity than BMI. Conclusions. Indicators of  WC, WHtR indicating to the presence of abdominal obesity to identify risk factors for the development of high blood pressure. Participants with increase of  WC &gt; 90th percentile were 4.5 times and WHtR were 2.7 times more likely to have high blood pressure.


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