Body Mass Index (BMI) correlate with blood glucose level in the state of Qatar

2021 ◽  
Vol 2 (1) ◽  
pp. 005-012
Author(s):  
Ghazi Daradkeh ◽  
M. Calapano ◽  
H. Acido ◽  
Marwa Rustom ◽  
C. Kajayon ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Blood Sugar ◽  
Body Mass ◽  
Blood Sugar Level ◽  
Positive Association ◽  
Cross Sectional Study ◽  
The State ◽  
Cross Sectional ◽  
Diagnosis Codes ◽  
The Impact

Objectives: Development of type 2 diabetes mellites (T2DM) is highly corelated to obesity. This is a cross-sectional study conducted in the state of Qatar to investigate the association between blood sugar level and body mass index (BMI). Methods: Two-hundred and nineteen adult subjects, undiagnosed with T2DM (defined by ICD-9-CM diagnosis codes and not on anti-diabetic medications) participated in the study. Age ranged from 18-65 with a mean of 42.0 ± 9.8 years (34.0 + 8.6 among females and 44.2 ± 9.6 among males). Blood sugar, weight, height, and BMI were measured during the survey. Individuals with BMI < 18.5 kg/m2 were excluded, (Mean BMI =27.4 ±4.71). Blood sugar level of overweight: BMI 25–29.9 kg/m2 or Obese: BMI ≥30 kg/m2 compared with normal BMI (18.5–24.9 kg/m2) to assess the impact of BMI on blood sugar. Results: 219 participants included in this study, a positive association between BMI with blood sugar level and the risk of a T2DM diagnosis was noticed. Conclusions: Blood sugar level and the risk of being diagnosed with T2DM is highly dependent and corelated with BMI. The incremental association of BMI category on the risk of T2DM is stronger for people with a higher BMI relative to people with a lower BMI.

scholarly journals Association of Random Blood Sugar with Body Mass Index in Habitants of Suburban Kathmandu District

2019 ◽  
Vol 9 (2) ◽  
pp. 42-46
Author(s):  
Neeti Singh ◽  
Ang Tshering Sherpa ◽  
Srijana Pandey ◽  
Amita Pradhan
Keyword(s):  
Body Mass Index ◽  
Blood Sugar ◽  
Body Mass ◽  
Blood Sugar Level ◽  
Cross Sectional Study ◽  
High Risk Group ◽  
Predisposing Factor ◽  
Cross Sectional ◽  
Random Blood Sugar ◽  
Waist Hip Ratio

Background: Diabetes mellitus is increasing in alarming number world­wide. The main predisposing factor being daily lifestyle which leads to obesity and other complications. Early diagnosis and life style modifica­tion among high risk group can decrease the burden of disease. This study was done to find out the random blood sugar level and assess the relationships between body mass index (BMI), waist hip ratio (WHR) and random blood sugar among the study population. Methods: A cross sectional study was done using retrospective data collected at the health camp conducted during month of October 2018. The study area was Nagarjun and Chandragiri municipalities of Kath­mandu district. The data was analyzed using SPSS version 21. The chi square test was used to assess relation between BMI,WHR and Random blood sugar. Results: The number of participants in this study was 274. Majority of the participants, (92.7%) had random blood sugar level 200mg/dl or less. Those having RBS of more than 200mg/dl were 7.3%. Among all participants, 16.06% were obese. Further the obese participants showed high waist hip ratio in 81.8% and 9.1% of them had moderate or low waist hip ratio. Further, 46 participants showed diabetic blood sugar level and were either overweight (39.13%) or obese (28.26%). Conclusions: This study concluded that those who had diabetic blood sugar level or high waist hip ratio had increases BMI. So such screening and preventive programme should be further expanded and even at clinical level. Additionally, patients must be counseled the reason for measuring BMI and RBS and its application for their health promotion.

scholarly journals Caffeinated Drinks Intake, Late Chronotype, and Increased Body Mass Index among Medical Students in Chongqing, China: A Multiple Mediation Model

2018 ◽  
Vol 15 (8) ◽  
pp. 1721 ◽  
Author(s):  
Yangchang Zhang ◽  
Yang Xiong ◽  
Jia Dong ◽  
Tingting Guo ◽  
Xiaoman Tang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Medical Students ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Multiple Mediation ◽  
Depression Anxiety Stress Scale ◽  
Positive Role ◽  
Cross Sectional ◽  
The Impact

Background: This paper investigates the problems regarding caffeinated drinks intake, late chronotype, and increased body mass index (BMI) among medical students at a Chinese university. Methods: This cross-sectional study was conducted in 2018 with 616 medical students from Chongqing Medical University in Chongqing, China, whose information were collected by a self-reported questionnaire that included four sections: Demographic characteristics; Caffeinated drinks intake and physical state; Morningness-Eveningness Questionnaire; Depression Anxiety Stress Scale 21. Multiple mediation analyses were conducted to test the impact of late chronotype on increased BMI through caffeinated drinks consumption through two models. Results: The significantly mediated effect of caffeinated drinks consumption was revealed (estimate: −0.01, SE = 0.01, 95% CI [−0.02, −0.01]), and which played a positive role in linking late chronotype (B = −0.01, SE = 0.01, p < 0.001) and increased BMI (B = 1.37, SE = 0.21, p < 0.01), but their significant association did not be found in reversed model. In addition, physical activity and inactivity times demonstrated significant indirect effects in the two models. Conclusions: Interventions should focus on reducing caffeinated drinks intake and sedentary behavior time, enhancing physical activity among medical students.

scholarly journals Sex Differences in the Influence of Sleep on Body Mass Index and Risk of Metabolic Syndrome in Middle-Aged Adults

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 561
Author(s):  
Hyun-E Yeom ◽  
Jungmin Lee
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Middle Aged ◽  
Cross Sectional ◽  
Aged People ◽  
Middle Aged Adults ◽  
The Impact

Poor sleep and obesity are intimately related to cardiovascular diseases. We aimed to examine whether the influence of sleep and body mass index (BMI) on the risk of metabolic syndrome (MetS) differed by sex in middle-aged people. It is a cross-sectional study of 458 Korean participants who completed self-administered surveys; the data were analyzed using the PROCESS macro for SPSS. We found that both sleep and BMI were significant predictors of MetS risk in women, particularly by the role of BMI connecting the impact of sleep to MetS risk. However, the association was not found in men, showing that BMI, but not sleep, was a significant predictor of MetS. This sex-related difference was due to different relationships between sleep and BMI, indicating that BMI was more dependent on sleep quality for women than for men. Therefore, a sex-specific approach to decrease the risk of MetS is warranted.

scholarly journals Which body mass index is best associated with risk of diabetes mellitus and hypertension in a Japanese-Brazilian population?

2007 ◽  
Vol 23 (2) ◽  
pp. 297-304 ◽  
Author(s):  
Rosana Farah Simony ◽  
Suely Godoy Agostinho Gimeno ◽  
Sandra Roberta Gouveia Ferreira ◽  
Laércio Joel Franco
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Body Mass ◽  
Sensitivity And Specificity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Odds Ratios ◽  
Cross Sectional ◽  
Japanese Brazilians ◽  
The Impact

The objective of this study was to evaluate the impact of different body mass index (BMI) ranges associated with the risk of diabetes and hypertension in Japanese-Brazilians. This cross-sectional study was based on data from 1,330 Japanese-Brazilians > 30 years of age who participated in a population-based survey on the prevalence of diabetes mellitus and associated diseases. Glucose tolerance status was classified according to WHO criteria and blood pressure levels according to the VI-JNC. Odds ratios for diabetes and hypertension were calculated for different BMI ranges; for different BMIs, sensitivity and specificity for percentiles 25, 50, 75, 90 and 95 were obtained. Increased odds ratios for diabetes mellitus and hypertension were observed with BMI values > 25kg/m². The 50th percentile corresponded to the highest sensitivity and specificity for the identification of risk for both diseases. Our results suggest that BMI values proposed by WHO should also be useful for this group of Japanese descendants in the assessment of risk for DM and hypertension.

scholarly journals Body Mass Index (BMI) and Dental Caries Experience among Children of Eastern Region of Nepal

2020 ◽  
Vol 1 (1) ◽  
pp. 4-7
Author(s):  
Tarakant Bhagat ◽  
Ashish Shrestha ◽  
Santosh Kumari Agrawal
Keyword(s):  
Body Mass Index ◽  
Dental Caries ◽  
Body Mass ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Caries Experience ◽  
Eastern Region ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
The Difference

 Introduction: Dental caries and obesity share some common, modifiable influences such as diet and lifestyle including changes in physical activity and food characters. So, obesity can be considered as a predictor of dental caries and various studies have shown the positive association between these two factors. Objective: The study aims to analyze the relationship between dental caries and BMI in children of eastern region of Nepal. Methods: A cross-sectional study design was used comprising 600 school children in eastern region of Nepal. Anthropometric measures for the calculation of Body Mass Index (BMI), occurrence of dental caries, missing, and filled teeth due to caries in both the primary and permanent dentition (dft and DMFT respectively) were collected. Data were analyzed using Spearman’s correlation and independent t test to assess correlation between dental caries and BMI. Results: Dental caries prevalence was 57.3%. The difference in caries experience among gender was insignificant (p = 0.172). Caries experience decreased significantly with increase in years of schooling (p = 0.002) and with increase in age (p < 0.001). Caries experience increased with an increase in BMI but was not significant (p = 0.199). There was a positive correlation between BMI and DMFT /DMFS but was not statistically significant. The correlation between dft and dfs was statistically significant. Conclusions: The study indicated that some form of correlation existed between BMI and dental caries but the association was weak. Healthy with age children experience more caries than overweight and underweight children.

scholarly journals Association Between Sleep Disorder and Increased Body Mass Index in Adult Patients

2016 ◽  
Vol 62 (2) ◽  
pp. 221-224 ◽  
Author(s):  
Andreea Elena Bocicor ◽  
Gabriela Buicu ◽  
Daniela Sabau ◽  
Andreea Varga ◽  
I Tilea ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Disorder ◽  
Body Mass ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Affirmative Answer ◽  
Public Health Issue ◽  
Cross Sectional ◽  
University Of Toronto ◽  
Modifiable Factors

AbstractIntroduction and objectives. Obesity is a public health issue, with increasing prevalence and incidence all over the world. Diet and exercise applied in obesity treatment are not always as effective as expected, as there are many other determining factors which can lead to obesity. One of these modifiable factors seem to be sleep disorder. The objective of our study was to test the positive association between the presence of sleep disorder and increased body mass index (BMI).Material and method. 84 patients were screened in a descriptive cross-sectional study. Each patient completed the adjusted 7 items University of Toronto Sleep Assessment Questionnaire (SAQ©). Each affirmative answer was accounted 1 point. The total score was calculated. Mild sleep disorder was considered at 4-5 points, severe sleep disorder at 6 - 7 points. Body mass index (BMI) was calculated for each patient by the formula weight (Kg)/squared height (m2). We considered increased BMI values greater than 25 kg/m2. The association between the sleep disorder and increased BMI was statistically tested.Results. We interviewed 84 patients, 32 (38%) men (average age 54 +/− 6.63) and 52 (62%) women (average age 50 +/− 5.26). Mild sleep disorder was present in 36 patients, and severe sleep disorder in 25 patients. We noticed association between sleep disorder and increased BMI (p=0.0064, RR=2.925, 95% CI 1.16-7.36). We observed the risk for increased BMI dependent on the sleep disorder severity.Conclusions. Sleep disorder is a potentially modifiable risk factor which can be included in obesity therapeutic approach and management. Early diagnosis and treatment of sleep disorder is important in obesity prevention.

scholarly journals Eating Jet Lag: A Marker of the Variability in Meal Timing and Its Association with Body Mass Index

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2980 ◽  
Author(s):  
María Zerón-Rugerio ◽  
Álvaro Hernáez ◽  
Armida Porras-Loaiza ◽  
Trinitat Cambras ◽  
Maria Izquierdo-Pulido
Keyword(s):  
Body Mass Index ◽  
Food Intake ◽  
Body Mass ◽  
Positive Association ◽  
Activity Level ◽  
Jet Lag ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Meal Timing ◽  
The Impact

The timing of food intake has been associated with obesity and adverse metabolic outcomes, independently of the amount or content of food intake and activity level. However, the impact of the variability in the timing of food intake between weekends and weekdays on BMI (body mass index) remains unexplored. To address that, we propose to study a marker of the variability of meal timing on weekends versus weekdays (denominated as ‘eating jet lag’) that could be associated with increments in BMI. This cross-sectional study included 1106 subjects (aged 18–25 years). Linear regression models were used to examine the associations of eating jet lag with BMI and circadian related variables (including chronotype, eating duration, sleep duration, and social jet lag). Subsequently, a hierarchical multivariate regression analysis was conducted to determine whether the association of eating jet lag with BMI was independent of potentially confounding variables (e.g., chronotype and social jet lag). Moreover, restricted cubic splines were calculated to study the shape of the association between eating jet lag and BMI. Our results revealed a positive association between eating jet lag and BMI (p = 0.008), which was independent of the chronotype and social jet lag. Further analysis revealed the threshold of eating jet lag was of 3.5 h or more, from which the BMI could significantly increase. These results provided evidence of the suitability of the eating jet lag, as a marker of the variability in meal timing between weekends and weekdays, for the study of the influence of meal timing on obesity. In a long run, the reduction of the variability between meal timing on weekends versus weekdays could be included as part of food timing guidelines for the prevention of obesity among general population.

scholarly journals How different data sources and definitions of neighbourhood influence the association between food outlet availability and body mass index: a cross-sectional study

2016 ◽  
Vol 137 (3) ◽  
pp. 158-161 ◽  
Author(s):  
Matthew Hobbs ◽  
Mark Green ◽  
Claire Griffiths ◽  
Hannah Jordan ◽  
Joanna Saunders ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Data Sets ◽  
Food Outlet ◽  
Cross Sectional ◽  
Methodological Choices ◽  
Food Outlets ◽  
Definition Of ◽  
The Impact

Inconsistencies in methodologies continue to inhibit understanding of the impact of the environment on body mass index (BMI). To estimate the effect of these differences, we assessed the impact of using different definitions of neighbourhood and data sets on associations between food outlet availability within the environment and BMI. Previous research has not extended this to show any differences in the strength of associations between food outlet availability and BMI across both different definitions of neighbourhood and data sets. Descriptive statistics showed differences in the number of food outlets, particularly other food retail outlets between different data sets and definitions of neighbourhood. Despite these differences, our key finding was that across both different definitions of neighbourhood and data sets, there was very little difference in size of associations between food outlets and BMI. Researchers should consider and transparently report the impact of methodological choices such as the definition of neighbourhood and acknowledge any differences in associations between the food environment and BMI.

scholarly journals Do Body Mass Index Levels Correlate with Tinnitus Among Teachers?

2021 ◽  
Author(s):  
Luciana Lozza de Moraes Marchiori ◽  
Glória de Moraes Marchiori ◽  
Priscila Carlos ◽  
Samuel Lopes Benites ◽  
Marina Stephany Bobroff Mendes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Age Group ◽  
Moderate Correlation ◽  
Cross Sectional ◽  
Significance Level ◽  
Significant Difference ◽  
Chi Squared ◽  
The Impact

Abstract Introduction Working conditions can contribute to the development of lifestyle-related diseases among teachers, including obesity and tinnitus. Describing tinnitus in relation to characteristics and comorbidities can help the treatment and prognosis of teachers affected by this symptom. Objective To verify a possible association between tinnitus complaint and body mass index (BMI) in teachers. Methods Cross-sectional study with a sample of teachers who responded to the Visual Analog Scale (VAS) and to the Tinnitus Handicap Inventory (THI). The BMI (kg/m2) was calculated based on self-reported body weight (in kilograms) divided by height (in meters squared). Nonparametric statistics were applied adopting a significance level < 0.05 Results A total of 83 teachers were assessed, with a mean age 48 ± 9.7 years old; 63.9% (n= 53) were females; 44.6% were eutrophic (n = 37), and 16.9% (n = 14) were obese. Of the total, 19.3% (n = 16) reported tinnitus. No differences were found between the groups and BMI (p > 0.05), although there was a significant difference between the Tinnitus and No Tinnitus groups for age (p < 0.001). The chi-squared test showed an association between age group and tinnitus (p < 0.028); those with tinnitus were in the 49 to 65 years old age group. In addition, there was a moderate correlation between tinnitus parameters (VAS; THI-Functional; THI-Total) and BMI. Conclusion There was a moderate correlation between tinnitus parameters and BMI indicating that, as the BMI increased, so did the impact of tinnitus in the lives of the teachers. Body mass index should be considered a factor in tinnitus assessment and rehabilitation process.

scholarly journals THE ASSOCIATION OF BODY MASS INDEX, BLOOD PRESSURE AND FASTING BLOOD SUGAR WITH GENDER IN THE UNITED NATIONS STAFF OF LIBERIA

2021 ◽  
Vol 71 (5) ◽  
pp. 1797-1800
Author(s):  
Muhammad Imran Ibrahim ◽  
Khalida Nasreen ◽  
Shaheen Kamal
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Blood Sugar ◽  
Body Mass ◽  
Fasting Blood Glucose ◽  
Cross Sectional Study ◽  
Fasting Blood Sugar ◽  
Cross Sectional ◽  
Level Ii ◽  
Significant Difference

Objective: To determine the association of body mass index, blood pressure and fasting blood sugar with the gender in the UN staff of Liberia. Study Design: Cross sectional study. Place and Duration of Study: Level-II Hospital Monrovia, Liberia, from May to Aug 2017. Methodology: This study was conducted in the United Nation staff of Liberia, at level-II Hospital, where, routine medical check was conducted and anthropometric measurements as well as blood pressure and fasting blood sugar values were noted. Body mass index, fasting blood sugar and blood pressure values were recorded and fasting blood sugar and blood pressure values were compared for its relationship with varying body mass index values. Result: Total 300 individuals were monitored, out of them 226 (75.3%) were males and 74 (24.7%) were females. Mean weight of males was found to be 81 ± 14.6 Kg and for females 72.5 ± 11.6 kg there was found statistically significant (p<0.001) in both male and female and There was no significant difference of gender with Fasting blood glucose (p=0.395), systolic blood pressure (p=0.281) and diastolic blood pressure (p=0.425). Conclusion: Significant association was seen between body mass index and blood pressure in both males and female as well as for fasting blood sugar in males. Hence, simple measurement of body mass index can be used as important health prognostic marker and thus can be used in regular routine medical assessment for maintaining and following healthy living.

Sign in / Sign up

Export Citation Format

Share Document