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.

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.

Effective public health action

2013 ◽  
pp. 566-572
Author(s):  
Chris Spencer Jones
Keyword(s):  
Public Health ◽  
Wide Spectrum ◽  
Public Health Practice ◽  
Health Work ◽  
Health Practice ◽  
Public Health Action ◽  
Health Action ◽  
Effective Public Health

The aim of this chapter is to help you to measure your progress towards creative and sustainable public health practice. It is intended to address the absence of criteria and standards against which to audit much of the wide spectrum of public health work and to help you improve your delivery of public health when faced with this absence.

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.

scholarly journals Identifying SARS-CoV-2 regional introductions and transmission clusters in real time

2022 ◽  
Author(s):  
Jakob McBroome ◽  
Jennifer Martin ◽  
Adriano de Bernardi Schneider ◽  
Yatish Turakhia ◽  
Russell Corbett-Detig
Keyword(s):  
Public Health ◽  
Computational Models ◽  
Simulated Data ◽  
The United States ◽  
Data Exploration ◽  
Public Health Action ◽  
Web Based ◽  
Geographic Origins ◽  
Health Action ◽  
Effective Public Health

The unprecedented SARS-CoV-2 global sequencing effort has suffered from an analytical bottleneck. Many existing methods for phylogenetic analysis are designed for sparse, static datasets and are too computationally expensive to apply to densely sampled, rapidly expanding datasets when results are needed immediately to inform public health action. For example, public health is often concerned with identifying clusters of closely related samples, but the sheer scale of the data prevents manual inspection and the current computational models are often too expensive in time and resources. Even when results are available, intuitive data exploration tools are of critical importance to effective public health interpretation and action. To help address this need, we present a phylogenetic summary statistic which quickly and efficiently identifies newly introduced strains in a region, resulting clusters of infected individuals, and their putative geographic origins. We show that this approach performs well on simulated data and is congruent with a more sophisticated analysis performed during the pandemic. We also introduce Cluster Tracker (https://clustertracker.gi.ucsc.edu/), a novel interactive web-based tool to facilitate effective and intuitive SARS-CoV-2 geographic data exploration and visualization. Cluster-Tracker is updated daily and automatically identifies and highlights groups of closely related SARS-CoV-2 infections resulting from inter-regional transmission across the United States, streamlining public health tracking of local viral diversity and emerging infection clusters. The combination of these open-source tools will empower detailed investigations of the geographic origins and spread of SARS-CoV-2 and other densely-sampled pathogens.

Estimating the number of cases during COVID-19 pandemics using a web-based tool: first week results of “COVID-19 TRENDS” social media project in the Araba-Alava province in Basque country, Spain. (Preprint)

2020 ◽  
Author(s):  
Ignacio Garitano ◽  
Manuel Linares ◽  
Laura Santos ◽  
Ruth Gil ◽  
Elena Lapuente ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Response Rate ◽  
Basque Country ◽  
Case Definition ◽  
Public Health Action ◽  
Web Based ◽  
Health Action ◽  
Estimate Number ◽  
Media Project

UNSTRUCTURED On 28th February a case of COVID-19 was declared in Araba-Álava province, Spain. In Spain, a confinement and movement restrictions were established by Spanish Government at 14th March 2020. We implemented a web-based tool to estimate number of cases during the pandemic. We present the results in Áraba-Álava province. We reached a response rate of 10,3% out a 331.549 population. We found that 22,4 % fulfilled the case definition. This tool rendered useful to inform public health action.

Sign in / Sign up

Export Citation Format

Share Document