scholarly journals Factors Associated With Being Overweight or Obese in Suriname

2021 ◽  
Vol 66 ◽  
Author(s):  
Jeetendra Khadan ◽  
Nekeisha Spencer ◽  
Eric Strobl ◽  
Theophiline Bose-Duker
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Health Care Systems ◽  
The Elderly ◽  
Safety Net ◽  
Public Health Issue ◽  
Adult Body Mass ◽  
Care Systems ◽  
Demographic Risk

Objective: To identify the socio-demographic risk factors that are associated with adult Body Mass Index.Methods: We apply probit and ordinal probit models to a sample of 3,803 adults aged 20 and above from the 2016/17 round of the Suriname Survey of Living Conditions.Results: Women, the elderly, and couples who are either married and/or living together are more likely to be obese or overweight. This is also true for individuals who have chronic illnesses. We also find that individuals who engage in a sport or in other forms of exercise, even if modest, have lower odds of being overweight or obese. Interestingly, our findings indicate that individuals who benefit from government social safety net programs are less likely to be associated with being overweight or obese.Conclusion: Obesity could become a serious public health issue if not addressed appropriately. Policymakers should promptly develop a national strategy to help health care systems cope with the outcomes of obesity and to tackle the risk factors that have the greatest impacts on individual Body Mass Index.

Abstract 13944: J Relationship of Body Mass Index of 22-year Cardiovascular Disease Mortality versus Body Mass Index

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
William J Kostis ◽  
Javier Cabrera ◽  
Fei Wang ◽  
Sara J Guterl ◽  
Dhammika Amaratunga ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Systolic Hypertension ◽  
Female Gender ◽  
The Elderly ◽  
Linear Term ◽  
Quadratic Term ◽  
All Cause Mortality ◽  
Cv Disease

Introduction: J relationships of body mass index (BMI) with mortality have been described. However, little data are available on long-term follow-up in controlled clinical trials with respect to cardiovascular (CV) and all cause mortality. Hypothesis: We tested whether there is a J shape relationship between BMI with CV and all cause mortality at 22 years in the Systolic Hypertension in the Elderly Program (SHEP). Methods: SHEP was a placebo controlled, randomized clinical trial of antihypertensive therapy in patients with isolated systolic hypertension aged 60 and older. The relationship between CV and all cause mortality with baseline BMI was examined in 4,211 SHEP participants. Results: In unadjusted analyses, a J relationship was observed for all-cause mortality (linear term p=0.0318, quadratic term p=0.3217 and tricubic term p=0.0046) and for CV mortality (linear term p=0.0962, quadratic term p=0.6866 and tricubic term p=0.0908, left figure). The lowest risk was at a BMI of 25.9 for all-cause and 25.5 for CV mortality. The J shaped relationship between BMI and mortality was attenuated after adjustment for age, gender, comorbidities (e.g. diabetes, heart failure) and risk factors for CV disease (e.g. smoking and dyslipidemia, right figure). Age and gender were significant predictors of both all- cause and CV mortality: age p<0.0001, female gender p=0.0063 for all-cause mortality and p<0.0001 for age and p=0.0004 for female gender for CV mortality. <br/Conclusions: This study indicates that both very low and very high BMI are markers of high risk. The J relationship between BMI and mortality is mediated by age, female gender, comorbidities and risk factors for CV disease.

scholarly journals Body mass index and mortality in relation to age and follow-up of 30 years in large Austrian cohorts

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
G Nagel ◽  
R S Peter ◽  
B Föger ◽  
H Concin
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Health Care Systems ◽  
Generalized Additive Models ◽  
Population Level ◽  
Additive Models ◽  
Calendar Time ◽  
Care Systems ◽  
Over Time

Abstract Background Obesity and its health consequences will dominate health care systems in many countries during the next decades. Prevention programs have been implemented. However, the optimum body mass index (BMI) in relation to all-cause mortality on population level is still a matter of debate. Material and Method Data 1/1989-6/2005 of the Vorarlberg Health Monitoring & Prevention Program (VHM&PP,) and 8/2005-12/2015 for Vorarlberg provided by the Main Association of Austrian Social Security Institutions were analyzed. In both cohorts, information was available on age, sex, measured height and weight as well as the date and cause of death. Generalized additive models were used to model the mortality rate as function of calendar time, age and follow-up. Results The VHM&PP cohort consisted of 85,488 men and 99,873 women and the later of 129,817 men and 152,399 women. In the second cohort, men (mean age 48 (SD16.9) vs. 45.3 (SD 15.5) and women (48.3 (SD 17.7) vs. 45.6 (SD 16.6) years) were slightly older than in the VHM&PP cohort. The average BMI was slightly higher in men (26.1 (SD4.0) vs. 25.7 (SD3.8) kg/m2) but not in women (24.6 (SD 4.8) vs. 24.7 (SD 4.9) kg/m2), respectively. In the VHM&PP cohort more ever smokers were found in both men (40.3 vs. 22.4%) and women (24.8 vs. 18.4%) than in the subsequent cohort. BMI optimum increased slightly between 1985 and 2015, from 24.9 (95%-CI: 24.0-25.9) to 26.4 (25.3-27.3) in men and from 22.4 (21.8-23.1) to 23.3 (22.5-24.5) kg/m2 in women. However, age and follow-up had major impact on the increase. In younger age the associations are quite stable, while in men over 50 years and in women over 60 years the BMI optimum decreased with length of follow-up. Conclusions Overall the BMI optimum increased slightly over time. However, age and follow-up had major impact on the association. These results suggest, that prognosis of obesity related diseases has improved over time. To detangle this further research is necessary. Key messages In Austria the BMI optimum increased slightly over time. Age and follow-up time had major impact on the association.

Do body mass index (BMI) and history of nutritional supplementation play a role in the severity of COVID-19? A retrospective study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Houra Mohseni ◽  
Shirin Amini ◽  
Behnaz Abiri ◽  
Mojtaba Kalantar
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Health Care Systems ◽  
Demographic Data ◽  
Nutritional Supplements ◽  
Content Type ◽  
Significant Difference ◽  
Care Systems ◽  
History Of

Purpose The coronavirus disease 2019 (COVID-19) is an infectious disease that puts strain on health-care systems. Obesity is considered as a risk factor for the severity of infection. Hypotheses also suggested some nutritional supplements may be useful in COVID-19. This paper aims to assess the role of body mass index (BMI) and nutritional supplements on the severity of COVID-19. Design/methodology/approach This research was conducted on 603 participants (in five groups including: exposure to virus and healthy, COVID-19 positive patients with severity of mild, moderate, severe and death from COVID-19), in age 18 to 65 years. Demographic data and history of nutritional supplements were asked. Anthropometric measurements were measured in a healthy group and in a patient. They were collected by referring to patients' medical records. Findings The mean of BMI in groups with severity symptoms of moderate (27.57 kg/m2), severe (29.70 kg/m2) and death persons (28.13 kg/m2), was significantly higher than healthy (26.70 kg/m2) and mild symptoms (26.57 kg/m2) groups (p = 0.001). The logistic regression shown, the fourth quartile of BMI was significantly associated with occurrence of COVID19, odds ratios (ORs) and 95% confidence intervals (CI): [OR: 1.81, (95% CI: 1.13– 2.89), p-for trend = 0.55]. There was no significant difference in the percentage of vitamin C, D3, Zinc, Iron and multivitamin supplements intake, between groups, in the past six months (p = 0.11). Originality/value This study indicated the role of higher BMI in the occurrence and severity of COVID-19. Researches are not enough to recommend consumption of nutritional supplements for the prevention of COVID-19.

Malnutrition of the elderly patient in hospital: risk factors, detection and management

2001 ◽  
Vol 11 (3) ◽  
pp. 229-236 ◽  
Author(s):  
Yee Kiat Teo ◽  
HA Wynne
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Nutritional Status ◽  
Body Mass ◽  
The Elderly ◽  
Skinfold Thickness ◽  
Community Dwelling ◽  
Nutritional Risk ◽  
Admission Rates ◽  
Healthy Elderly

Dietary, biochemical and anthropometric data indicate good nutritional status, in general, in community-dwelling, healthy elderly people, at least in the USA. In a sample of 209 men over 65 years of age without acute disease-related nutritional risk factors, mean intake of nutrients generally met or exceeded the recommended dietary values, with the exception of calories, although 7% of subjects consumed inadequate amounts of thiamine, vitamin A, vitamin C and calcium. Few subjects were extremely underweight or obese, although body fat, as assessed by skinfold thickness, fell over the two years of evaluation. The prevalence of malnutrition in patients with chronic disease living in the community in the UK is estimated to be around 8%, however. In this study of more than 11 000 men and women aged 18 years or over, consultation rates in general practice and prescription rates were lowest amongst patients with a body-mass index between 20 and 25. Hospital outpatient referral rates were not related to nutritional status, but both hospital admission rates and mortality were greatest in people with a body-mass index(BMI) (kg/m2) below 20, and declined as BMI increased.

scholarly journals Statistical methods for body mass index: A selective review

2016 ◽  
Vol 27 (3) ◽  
pp. 798-811 ◽  
Author(s):  
Keming Yu ◽  
Xi Liu ◽  
Rahim Alhamzawi ◽  
Frauke Becker ◽  
Joanne Lord
Keyword(s):  
Public Health ◽  
Body Mass Index ◽  
Statistical Methods ◽  
Body Mass ◽  
Health Care Systems ◽  
Public Health Action ◽  
Health Action ◽  
Care Systems ◽  
Statistical Library ◽  
Effective Public Health

Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index, is a major risk factor for several common disorders including diabetes and cardiovascular disease, placing a substantial burden on health care systems. To guide effective public health action, we need to understand the complex system of intercorrelated influences on body mass index. This paper, based on all eligible articles searched from Global health, Medline and Web of Science databases, reviews both classical and modern statistical methods for body mass index analysis. We give a description of each of these methods, exploring the classification, links and differences between them and the reasons for choosing one over the others in different settings. We aim to provide a key resource and statistical library for researchers in public health and medicine to deal with obesity and body mass index data analysis.

Risk Factors and Adult Body Mass Index Among Overweight Children: The Bogalusa Heart Study

PEDIATRICS ◽  
2009 ◽  
Vol 123 (3) ◽  
pp. 750-757 ◽  
Author(s):  
D. S. Freedman ◽  
W. H. Dietz ◽  
S. R. Srinivasan ◽  
G. S. Berenson
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Overweight Children ◽  
Bogalusa Heart Study ◽  
Adult Body Mass ◽  
Heart Study ◽  
Adult Body ◽  
Adult Body Mass Index

The Relation of Body Mass Index to Biochemical Parameters and Profile of Heart Failure

2018 ◽  
Vol 69 (7) ◽  
pp. 1673-1677
Author(s):  
Viviana Aursulesei ◽  
Andrei Manta ◽  
Razan Al Namat ◽  
Monica Hugianu ◽  
Angela Maria Moloce ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Body Mass Index ◽  
Body Mass ◽  
Patient Selection ◽  
Biochemical Parameters ◽  
Obesity Paradox ◽  
Lipid Levels ◽  
Randomized Control ◽  
Selection Parameters

The bidirectional relation between body mass index (BMI) and heart failure (HF) is complex and not fully understood. The obesity paradox phenomena is controversial and related to patient selection, parameters used for defining abnormal weight, characteristics of HF. Our study sustain the importance of controlling risk factors, in particular plasma glucose, lipid levels, as well as hypertension in patients with HF and BMI over 25 kg/m2. Also, in contrast to the randomized control studies our results can only partially support data related to obesity paradox phenomena.

scholarly journals Cardio-Metabolic Risk Factors in Scottish South Asian and Caucasian Youth

2021 ◽  
Vol 18 (9) ◽  
pp. 4667
Author(s):  
Meizi Wang ◽  
Jianhua Ying ◽  
Ukadike Chris Ugbolue ◽  
Duncan S. Buchan ◽  
Yaodong Gu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
South Asian ◽  
Metabolic Risk Factors ◽  
Individual Risk ◽  
Metabolic Risk ◽  
Asian Adolescents ◽  
Individual Risk Factors

(1) Background: Scotland has one of the highest rates of obesity in the Western World, it is well established that poor weight profiles, and particularly abdominal obesity, is strongly associated with Type II diabetes and cardiovascular diseases. Whether these associations are apparent in ethnic population groups in Scotland is unclear. The purpose of this study was to examine the associations between different measures of fatness with clustered cardio metabolic risk factors between Scottish South Asian adolescents and Scottish Caucasian adolescents; (2) Methods: A sample of 208 Caucasian adolescents and 52 South Asian adolescents participated in this study. Stature, waist circumference, body mass index, blood pressure, physical activity, and cardiovascular disease (CVD) risk were measured; (3) Results: Significant, partial correlations in the South Asian cohort between body mass index (BMI) and individual risk factors were generally moderate. However, correlations between Waist circumference (WC) and individual risk factors were significant and strong. In the Caucasian cohort, a significant yet weak correlation between WC and total cholesterol (TG) was noted although no other associations were evident for either WC or BMI. Multiple regression analysis revealed that both BMI and WC were positively associated with CCR (p < 0.01) in the South Asian group and with the additional adjustment of either WC or BMI, the independent associations with clustered cardio-metabolic risk (CCR) remained significant (p < 0.005); (4) Conclusions: No positive relationships were found between BMI, WC, and CCR in the Caucasian group. Strong and significant associations between measures of fatness and metabolic risk were evident in Scottish South Asian adolescents.

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