scholarly journals Differences in the Cardiovascular Risk Assessment in Cardiology Outpatients in Mali: Comparison between Framingham Body Mass Index-Based Tool and Low-Information World Health Organization Chart

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Bâ Hamidou Oumar ◽  
Sangaré Ibrahima ◽  
Camara Youssouf ◽  
Sidibé Noumou ◽  
Coulibaly Souleymane ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Body Mass ◽  
Risk Score ◽  
Statistical Significance ◽  
Weighted Kappa ◽  
The Body ◽  
World Health ◽  
Categorical Variables ◽  
Cardiology Department

Objective. This study aimed to compare 2 laborless tools, namely, the body mass index-based Framingham (bmi-Frm) and low-information WHO- (li-WHO-) based risk scores, and assess their agreement in outpatients in a cardiology department. Methodology. Data stem from a cross-sectional previous study performed from May to September 2016 in the Cardiology Department of University Hospital Gabriel Touré (UH-GT) in Bamako. All patients aged 40 and more were included in the study allowing the assessment of bmi-Frm and li-WHO prediction charts. The cardiovascular risk (CVR) was evaluated using a calculator prepared by D‘Agostino et al. for the bmi-Frm and the li-WHO chart for the Afro-D region of the WHO. The risk score for both ranged from <10 to ≥40. The data were entered in an ACCESS 2010 database, then processed by MS Excel 2010, and finally analysed using IBM SPSS Statistics 20. Continuous variables were presented as means and standard deviations, and categorical variables were presented as frequencies with percentages. P < 0.05 was considered the statistical significance level. After sample description, the risk score was assessed using bmi-Frm and li-WHO prediction tools. Finally, a kappa test was performed to check for the interreliability of both methods. For weighted kappa, coefficients were given all five classes of risk groups in 0, 25 steps from 1 for total concordance to 0 for total discordance. Results. This study involved 793 outpatients, 63.7% being female, 35.1% of them younger than 50 years, 57.9% with no formal education, and 67.7% with no medical insurance. Means for age, body mass index (BMI), and systolic blood pressure (SBP) were, respectively, 53.81 ± 16.729 years, 25.29 ± 06.151 kg/m2, and 139.49 ± 27.110 mm Hg. Using the li-WHO prediction chart gives a much higher proportion of low-risk patients compared to bmi-Frm (83.6 vs. 37.7). Sociodemographic characteristics such as education or income level were not different in risk score neither for the bmi-Frm nor for the li-WHO risk score. The percentage of agreement between both tools was 40.4%, and agreement (kappa of 0.1 and weighted kappa of 0.2) was found to be slight. Conclusion. Using the bmi-Frm and li-WHO tool gives a similar risk estimation in younger female patients. Older patients must be evaluated using high-information tools with cholesterol, e.g., versions of the Framingham risk equation or WHO using cholesterol. These must be confirmed in further studies and compared to data from prospective studies

scholarly journals Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes

2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Risk Score ◽  
The Body ◽  
Risk Scores ◽  
Nasopharyngeal Swab ◽  
Morbidity Score ◽  
The Impact

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

Anaesthetic Management of a Super Morbid Obese Patient

2021 ◽  
Vol 8 (32) ◽  
pp. 3039-3042
Author(s):  
Lekshmi Raj Jalaja ◽  
Stuti Lohia ◽  
Priyadarsini Bentur ◽  
Ravi Ramgiri
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Recovery Period ◽  
Well Being ◽  
Anaesthetic Management ◽  
The Body ◽  
World Health ◽  
Morbidly Obese ◽  
Multisystem Disorder ◽  
Increased Risk

‘Obesity’ is defined as a condition with excess body fat to the extent that health and well-being are adversely affected and uses a class system based on the body mass index (BMI), by the world health organization (WHO). Anaesthetic management of morbidly obese is challenging, as there is an increased risk of perioperative respiratory insufficiency and supplemental oxygen must be given throughout recovery period. The incidence of morbid obesity continues to grow and anaesthesiologists are exposed to obese patients presenting for various procedures. The prevalence of obesity is on the upward trend worldwide. Obesity is a multisystem disorder, involving the respiratory and cardiovascular systems, and therefore, undergoing a surgical procedure under anaesthesia may entail a considerable risk. Thus, a multidisciplinary approach is required in treating such patients. Quantification of the extent of obesity is done using the body mass index. BMI is defined as the relationship between weight and height (weight [kg] / height2 [m2 ]).

scholarly journals Agreement and association between different indicators of body image and body mass index in adolescents

2014 ◽  
Vol 17 (3) ◽  
pp. 747-760 ◽  
Author(s):  
Carla Fernandez dos Santos ◽  
Inês Rugani Ribeiro de Castro ◽  
Letícia de Oliveira Cardoso ◽  
Letícia Ferreira Tavares
Keyword(s):  
Body Mass Index ◽  
Body Image ◽  
Nutritional Status ◽  
Body Mass ◽  
Private Schools ◽  
Weighted Kappa ◽  
Continuous Variable ◽  
The Body ◽  
Kappa Statistics ◽  
Image Variables

The aim of the study was to examine the correlation among different indicators of body image; between each one of these and nutritional status; and the association of these indicators with the Body Mass Index (BMI) of adolescents. A random sample of 152 students from public and private schools in the city of Rio de Janeiro, Brazil, was studied. On four occasions, two silhouette scales and two questions regarding the opinion of the student about his/her body and weight were applied and weight and height were measured. The BMI was examined both as a continuous and as a categorical variable. The agreement between the variables was analyzed using the quadratic weighted Kappa statistics. The association between body image variables and BMI was examined by the comparison among median, mean, standard deviation and 95% confidence interval of BMI for each category of the body image variables. In general, the correlation among the body image variables ranged from reasonable to good; between these and the variable nutritional status, correlation ranged from regular to reasonable. Best results were observed among boys and students from private schools. All body image variables showed good discriminatory power for BMI, when it was analyzed as a continuous variable, even when controlling for potential confounders. The question about body seems to be better than that about weight to compose the questionnaire of a surveillance system for risk and protective factors for adolescent health.

scholarly journals Estado nutricional e desfechos clínicos em pacientes críticos internados em hospital universitário

2020 ◽  
Vol 34 (4) ◽  
pp. 361-366
Author(s):  
Edcleide Oliveira dos Santos Olinto ◽  
Gina Araújo Martins Feitosa ◽  
Izaura Odir Lima Gomes da Costa ◽  
Janine Maciel Barbosa ◽  
Ericka Vilar Bôtto Targino ◽  
...  
Keyword(s):  
Body Mass ◽  
Statistical Significance ◽  
Strong Relationship ◽  
The Body ◽  
University Hospital ◽  
Nutritional Risk ◽  
World Health ◽  
P Value ◽  
Chi Square ◽  
Length Of Hospitalization

Introduction: There is a strong relationship between malnutrition and increased length of hospitalization and morbidity and mortality. Studies have shown that malnourished patients can have up to twenty times more complications than eutrophic ones. In critically ill patients, there is a tendency to catabolism, resulting in the loss of lean body mass, which when it reaches 40% is usually lethal. Methods: A quantitative, descriptive study was conducted on adults from both genders, admitted to the intensive care unit (ICU) of a university hospital, from March to December 2018. The following variables were collected from the evaluation and nutritional records: length of hospitalization in the ICU, date of discharge or death, nutritional risk through specific screening, height, weight and arm circumference (AC). For the screening, the Nutric score was used. For the nutritional evaluation, the body mass index (BMI) and AC indicators and the classifications recommended by the World Health Organization (2004) and Blackburn and Thornton (1979) were used. After collecting the data, they were analyzed in the Statistical Package for Social Sciences (SPSS) 13.0 and for the association of the variables the Chi-square test was used, considering statistical difference when the p value <0.05. Results: The sample consisted of 116 patients, mostly female (53.4%) whose median age was 46 years (interquartile range IQR 31-53). Regarding the frequency of nutritional risk, most patients (61.5%) had a low score. There was an important frequency of malnutrition, according to the AC indicator (73%), although BMI (43.5%) showed eutrophy. Even though most patients had low nutritional risk, those with high nutritional risk (38.5%) had a higher tendency to mortality, however, not statistically confirmed (p> 0.05). There was also a tendency of association between death and malnutrition, although no statistical significance was shown(p> 0.05). Conclusion: Patients at nutritional risk and/or malnutrition appear to be vulnerable to worse clinical outcomes.

scholarly journals Cross-sectional study on the weight and length of infants in the interior of the State of São Paulo, Brazil: associations with sociodemographic variables and breastfeeding

2009 ◽  
Vol 127 (4) ◽  
pp. 198-205 ◽  
Author(s):  
Julia Laura Delbue Bernardi ◽  
Regina Esteves Jordão ◽  
Antônio de Azevedo Barros Filho
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Statistical Significance ◽  
Randomized Study ◽  
The Body ◽  
Nutrition Status ◽  
Rank Test ◽  
Cross Sectional ◽  
Sociodemographic Variables ◽  
Significance Level

CONTEXT AND OBJECTIVE: Increasing obesity is starting to occur among Brazilians. The aim of this study was to investigate the weight and length of children under two years of age in relation to sociodemographic variables and according to whether they were breastfed. DESIGN AND SETTING: Cross-sectional randomized study conducted in 2004-2005, based on the declaration of live births (SINASC) in Campinas, Brazil. METHODS: 2,857 mothers of newborns were interviewed and answered a questionnaire seeking socioeconomic and breastfeeding information. The newborns' weights and lengths were measured at the end of the interviews and the body mass index was calculated. Percentiles (< 15 and > 85) and Z-scores (< -1 and > +1) were used for classification based on the new growth charts recommended by WHO (2006). The log-rank test, multiple linear regression and binomial test (Z) were used. The statistical significance level used was 5%. RESULTS: The predominant social level was class C. The median for exclusive breastfeeding was 90 days; 61.25% of the children were between P15 and P85 for body mass index and 61.12% for length, respectively. Children whose mothers studied for nine to eleven years and children whose mothers were unemployed presented lower weight. Children whose mothers worked in health-related professions presented lower length when correlated with breastfeeding. CONCLUSION: The breastfeeding, maternal schooling and maternal occupation levels had an influence on nutrition status and indicated that obesity is occurring in early childhood among the infants living in the municipality.

scholarly journals Perception of Body Image and Dietary Habit Among Adults Aged 20–45 Years at Sunyani Metropolis

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 277-277
Author(s):  
Jacob Setorglo ◽  
Philip Narteh Gorleku ◽  
Kyei Roselyn ◽  
Kingsley Kwadwo Asare Pereko
Keyword(s):  
Body Mass Index ◽  
Body Image ◽  
Body Size ◽  
Body Mass ◽  
Who Classification ◽  
The Body ◽  
World Health ◽  
Outcome Variable ◽  
Sugar Consumption ◽  
Normal Body

Abstract Objectives The study assessed the body size perception of respondents against the WHO body mass index and related the body sizes to fat and sugar consumption among 20–45-year-old adults. Methods The study design was a descriptive cross-sectional survey which involved 200 respondents aged 20–45 years, sampled conveniently. at Sunyani. Data on socio-demographic, fat and sugar consumption, anthropometry (weight in kg, height in cm) were collected. The weight and height data were later converted into body mass index using the World Health Organisation (WHO) classification. Sugar and fat intakes were measured by dietary food based assessment. (Analysis was done using IBM SPSS version 25. Proportions were presented for categorical values. Chi square test of association was used to determine relationship between the independent and the dependent outcome variable. Statistical significant was set at and P &lt; 0.05. Results The mean age of the respondents was 35 years. About 35.0% of respondents were males and the rest 65.0% females. Sugar and fat consumption among the respondents were within the recommended dietary allowances. Although 75% of respondents had normal body mass index (kg/m2) and 21% were obese based on the WHO classification, Majority (43.0%) of them perceived their body weights were normal. About 48.1% perceived they are either obese or had normal body size. There was no statistically significant association between respondents’ perceived body image and socio-demographic characteristics except for marital status (X2 = 8.82, P = 0.044). There was no statistically significant association between body image perception and dietary intake of fat and sugar. Conclusions There is great disparity in the perception of respondents body image compared to the WHO classification and married women and men are more particular about how they look. Dietary components studied do not have any association with body image. Funding Sources None.

scholarly journals Changes in obesity, sedentary behavior and physical inactivity, between 2010 and 2017, in adolescents

1989 ◽  
Vol 32 ◽  
Author(s):  
Marcelo Barros Vasconcellos ◽  
◽  
Isabela Matta ◽  
Danilo Dias Santana ◽  
Gloria Valeria da Veija ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sedentary Behavior ◽  
Body Mass ◽  
Video Game ◽  
Physical Inactivity ◽  
World Health ◽  
Categorical Variables ◽  
Continuous Variables ◽  
Cross Sectional ◽  
Prevalence Of Obesity

The study investigated changes in the prevalence of obesity, sedentary behavior (SB) and physical inactivity (PI) in adolescents. Two cross-sectional studies were analyzed, 2010 and 2017, with probabilistic samples from students (328 and 366, respectively) in 12 municipal schools in Niterói, RJ. Obesity was classified based on body mass index (BMI = weight / height2) Z score values ≥ +2, according to the World Health Organization criteria. The weight classification was made with body mass index (BMI = weight/height2), the SB for those with some screen behavior (television, video game) for ≥ 2 hours/day and IF those who performed <300 min / week moderate to intense physical activity. The comparison between the studies was based on the chi-square test (categorical variables) and Student's t test (continuous variables). The prevalence of obesity increased in boys (6.2% to 15.6% p <0.001) and decreased in girls (8.4% to 6.9% p = 0.035). The frequency of SB decreased from (90.7% to 67.7% p <0.001) in boys and from (90.3 to 52.8% p <0.001) in girls and the PI did not change in boys and increased in girls (84.6% to 89.9% p <0.001). The changes observed were sex-dependent, with boys more vulnerable to increased obesity, girls more PI and both sexes less SB in the investigated period.

scholarly journals ANALYSIS OF BODY MASS INDEX (BMI) AND COGNITION IN ADOLESCENT FEMALES- A CORRELATIONAL STUDY

2021 ◽  
Vol 9 (5) ◽  
pp. 468-476
Author(s):  
Anjali Belwal ◽  
◽  
Reena Kumari ◽  
Deepak Nainwal ◽  
◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Statistical Significance ◽  
Adolescent Females ◽  
The Body ◽  
Physical Growth ◽  
Future Health ◽  
Wide Range ◽  
Group A ◽  
Group B

Background: Adolescent is characterised by rapid physical growth and sexual development, accompanied by changes in the percentage of body fat. Obesity and underweight are one of the most prominent problems of the modern society which consists of a wide range of short-term and long-term complications. The rising prevalence of childhood obesity is directly related to the vascular, metabolic condition and risk factor to cognitive decline or dementia. Under-weight is also often associated with acute and chronic medical complications like Anorexia nervosa, low bone density and mass with impaired immune system and increased mortality rate. Therefore purpose of this study is to identify early signs of impaired BMI as a cause of cognitive impairment and prevent the child obesity and underweight to overcome the future health risk factors. The aim of this study is to find a correlation between BMI and MMSE score in Indian adolescent females. Methodology: 31 female subjects with mean age 16±3 years were selected according to random sampling in this study. The Quetlets formula was used to measure body mass index. Group division for Underweight, Normal and Over-weight was done for the BMI score then Score of MMSE, a measure of cognition was taken. Data was analyzed using SPSS version 16. The Karl Pearsons Coefficient correlation was calculated to see correlation between BMI and MMSE cognitive function. P < 0.05 was considered of statistical significance. Result: The study found correlative change in variables as observed in group A MMSE mean 25.84±3.83 and BMI mean 16.10±1.08 with P<0.05 i.e which was found statically significant. In group B MMSE mean 26.22±1.30 and BMI mean 20.60±1.80 with P>0.05 i.e which was found statically non significnat. In group C MMSE mean 23.00±3.46 and BMI mean 26.06±1.15 with P<0.05 i.e which was found statically significant. And in total number of subject MMSE mean 25.68±3.3 and BMI mean 18.37±3.51with P>0.05. it was found that there was a significant correlation between the body mass index and cognition in group A and group C but there was no significant correlation between body mass index and cognition in group B and total number of subjects(31). Conclusion: The study conclude to state that there exist a significance correlation and of body mass index on cognition.

scholarly journals Clinical verification of body mass index and tumor immune response in patients with breast cancer receiving preoperative chemotherapy

2021 ◽  
Author(s):  
Koji Takada ◽  
Shinichiro Kashiwagi ◽  
Yuka Asano ◽  
Wataru Goto ◽  
Rika Kouhashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Preoperative Chemotherapy ◽  
Early Stage ◽  
The Body ◽  
World Health ◽  
Cancer Type ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment

Abstract Purpose: The body mass index (BMI) is commonly used as a simple indicator of obesity; patients with early-stage breast cancer who are obese (OB) per BMI measurements have been shown to have high postoperative recurrence and low survival rates. On the other hand, it has been shown that lymphocytes present in the vicinity of malignant growths that are involved in the tumors’ immune responses influence the efficacy chemotherapy. Therefore, we hypothesized that OB patients with breast cancer have a lower density of tumor-infiltrating lymphocytes (TILs), which may influence the therapeutic effect of preoperative chemotherapy (POC). In this study, we measured pretreatment BMI and TILs in patients with breast cancer who underwent POC, examined the correlations between these two factors, and retrospectively analyzed their therapeutic outcomes and prognoses.Methods: The participants in this study were 421 patients with breast cancer who underwent surgical treatment after POC between February 2007 and January 2019. The patient’s height and weight were measured before POC to calculate the BMI (weight [kg] divided by the square of the height [m2]). According to the World Health Organization categorization, patients who weighed under 18.5 kg/m2 were classified as underweight (UW), those ≥18.5 kg/m2 and >25 kg/m2 were considered normal weight (NW), those ≥25 kg/m2 and <30 kg/m2 were overweight (OW), and those ≥30 kg/m2 were OB. The TILs were those lymphocytes that infiltrated the tumor stroma according to the definition of the International TILs Working Group 2014.Results: The median BMI was 21.9 kg/m2 (range, 14.3–38.5 kg/m2); most patients (244; 64.5%) were NW. Among all 378 patients with breast cancer, the TIL density was significantly lower in OB than in NW and OW patients (vs. NW: p=0.001; vs. OW: p=0.003). Furthermore, when examining patients with each breast cancer type individually, the OS of those with TNBC who had low BMIs was significantly poorer than that of their high-BMI counterparts (log rank p=0.031).Conclusions: Our data did not support the hypothesis that obesity affects the tumor immune microenvironment; however, we showed that being UW does affect the tumor immune microenvironment.

scholarly journals Analysis of endometrial thickness measured by transvaginal ultrasonography in obese patients

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 ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Endometrial Thickness ◽  
Statistical Significance ◽  
Cross Sectional Study ◽  
The Body ◽  
Transvaginal Ultrasonography ◽  
Obese Patients ◽  
Cross Sectional ◽  
Endometrial Thickening

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.

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