scholarly journals Analysis of childhood overweight and obesity in Namibia using spatio-temporal quantile interval models

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Owen Paweni Loss Mtambo ◽  
Legesse Kassa Debusho
Keyword(s):  
Nonlinear Effects ◽  
World Health Organisation ◽  
Childhood Overweight ◽  
Temporal Variations ◽  
Overweight And Obesity ◽  
World Health ◽  
Policy Makers ◽  
Spatio Temporal ◽  
Socio Demographic Factors ◽  
Fully Bayesian

AbstractThe global prevalence of overweight (including obesity) in children under 5 years of age was 7% in 2012, and it is expected to rise to 11% by the year 2025. The main objective of this study was to fit spatio-temporal quantile interval regression models for childhood overweight (including obesity) in Namibia from 2000 to 2013 using fully Bayesian inference implemented in R-INLA package in R version 3.5.1. All the available Demographic and Health Survey (DHS) datasets for Namibia since 2000 were used in this study. Significant determinants of childhood overweight (including obesity) ranged from socio-demographic factors to child and maternal factors. Child age and preceding birth interval had significant nonlinear effects on childhood overweight (including obesity). Furthermore, we observed significant spatial and temporal effects on childhood overweight (including obesity) in Namibia between 2000 and 2013. To achieve the World Health Organisation (WHO) global nutrition target 2025 in Namibia, the existing scaling-up nutrition programme and childhood malnutrition policy makers in this country may consider interventions based on socio-demographic determinants, and spatio-temporal variations presented in this paper.

scholarly journals Prevalence of Overweight and Obesity, and Associations with Socio-Demographic Factors in Kuwait

2020 ◽  
Author(s):  
Victor M Oguoma ◽  
Neil Coffee ◽  
Saad Alsharrah ◽  
Mohamed Abu-Farha ◽  
Faisal H Al-Refaei ◽  
...  
Keyword(s):  
Central Obesity ◽  
Communicable Disease ◽  
Demographic Factors ◽  
World Health Organisation ◽  
Overweight And Obesity ◽  
World Health ◽  
Health Concern ◽  
Obesity Prevalence ◽  
Gulf Region ◽  
Socio Demographic Factors

Abstract Background: Kuwait is amongst countries in the Gulf region with high income economy. According to the World Health Organisation (WHO), one in five adults in the Gulf region is obese. The aim of this study was to estimate the prevalence of both overweight and obesity, and their relationships with socio-demographic factors, in Kuwait.Methods:A population-based survey of diabetes and obesity in Kuwait – part of the Kuwait Diabetes Epidemiology Program – was conducted between 2011-2013, targeting adults aged 18-82 years using the WHO STEPwise approach to non-communicable disease surveillance. Body mass index (BMI) was calculated to classify overweight and obesity, and waist circumference (WC) used to expressed central obesity. Multivariable logistic regression was used to estimate relationships between socio-demographic factors, overweight (25.0-29.9 kg/m2), obesity (≥30.0 kg/m2) or central obesity (WC≥80cm women; WC≥94cm men).Results:Records for gender (57% Men), age, BMI, governorate and nationality existed for 4963 individuals. Mean age and BMI were 43 years and 30kg/m2, respectively. Non-Kuwaiti nationals were more prevalent than Kuwaitis (87% vs 13%). Prevalence rates for overweight, obesity and central obesity were 38% (95%CI: 37-40%), 42% (95%CI: 41-44%) and 75% (95%CI: 73-76%), respectively. The youngest age group (18-29 years) had rates of 33% (95%CI: 28-39%), 25% (95%CI: 20-30%) and 49% (95%CI:43-55%) for overweight, obesity and central obesity, respectively. In covariate-adjusted analyses, the odds of being overweight was 23% greater for men than for women. Conversely, women had a 29% (95%CI: 4-60%) and 6-fold (95%CI: 5-9-fold) greater odds of obesity/central obesity, respectively, than men. Greater educational attainment, physical activity, and non-Kuwaiti status were associated with lower odds of obesity/central obesity. History of smoking, elevated blood pressure, higher income, being married, greater age and female sex related to greater odds of obesity/central obesity.Conclusion:Overweight was greater in men, obesity greater in women. Overweight and obesity prevalence were high in young adults ages 18-29 years, a significant public health concern. Efforts to integrate mandatory physical education to the school curriculum and promoting the creation of recreation spaces/parks to promote physical activities, will play a vital role in the early prevention of overweight/obesity in Kuwait.

scholarly journals DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic

2020 ◽  
Author(s):  
Mahdi Rezaei ◽  
Mohsen Azarmi
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
World Health Organisation ◽  
Superior Performance ◽  
World Health ◽  
People Detection ◽  
Social Distancing ◽  
Online Risk ◽  
Risk Zones ◽  
Spatio Temporal

Abstract Social distancing is a recommended solution by the World Health Organisation (WHO) to minimise the spread of COVID-19 in public places. The majority of governments and national health authorities have set the 2-meter physical distancing as a mandatory safety measure in shopping centres, schools and other covered areas. In this research, we develop a generic Deep Neural Network-Based model for automated people detection, tracking, and inter-people distances estimation in the crowd, using common CCTV security cameras. The proposed model includes a YOLOv4-based framework and inverse perspective mapping for accurate people detection and social distancing monitoring in challenging conditions, including people occlusion, partial visibility, and lighting variations. We also provide an online risk assessment scheme by statistical analysis of the Spatio-temporal data from the moving trajectories and the rate of social distancing violations. We identify high-risk zones with the highest possibility of virus spread and infection. This may help authorities to redesign the layout of a public place or to take precaution actions to mitigate high-risk zones. The efficiency of the proposed methodology is evaluated on the Oxford Town Centre dataset, with superior performance in terms of accuracy and speed compared to three state-of-the-art methods.

scholarly journals Advances in mapping malaria for elimination: fine resolution modelling of Plasmodium falciparum incidence

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Victor A. Alegana ◽  
Peter M. Atkinson ◽  
Christopher Lourenço ◽  
Nick W. Ruktanonchai ◽  
Claudio Bosco ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Population Distribution ◽  
Malaria Incidence ◽  
World Health Organisation ◽  
World Health ◽  
Fine Spatial Resolution ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Fine Resolution ◽  
And Control

Abstract The long-term goal of the global effort to tackle malaria is national and regional elimination and eventually eradication. Fine scale multi-temporal mapping in low malaria transmission settings remains a challenge and the World Health Organisation propose use of surveillance in elimination settings. Here, we show how malaria incidence can be modelled at a fine spatial and temporal resolution from health facility data to help focus surveillance and control to population not attending health facilities. Using Namibia as a case study, we predicted the incidence of malaria, via a Bayesian spatio-temporal model, at a fine spatial resolution from parasitologically confirmed malaria cases and incorporated metrics on healthcare use as well as measures of uncertainty associated with incidence predictions. We then combined the incidence estimates with population maps to estimate clinical burdens and show the benefits of such mapping to identifying areas and seasons that can be targeted for improved surveillance and interventions. Fine spatial resolution maps produced using this approach were then used to target resources to specific local populations, and to specific months of the season. This remote targeting can be especially effective where the population distribution is sparse and further surveillance can be limited to specific local areas.

scholarly journals Overweight and Obesity Epidemic in Developing Countries: A Problem with Diet, Physical Activity, or Socioeconomic Status?

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Trishnee Bhurosy ◽  
Rajesh Jeewon
Keyword(s):  
Physical Activity ◽  
Low Income ◽  
World Health Organisation ◽  
Developed Countries ◽  
Obese Individual ◽  
Developing Nations ◽  
Overweight And Obesity ◽  
Activity Level ◽  
World Health ◽  
Health Concern

Obesity is a significant public health concern affecting more than half a billion people worldwide. Obesity rise is not only limited to developed countries, but to developing nations as well. This paper aims to compare the mean body mass index trends in the World Health Organisation- (WHO-) categorised regions since 1980 to 2008 and secondly to appraise how socioeconomic disparities can lead to differences in obesity and physical activity level across developing nations. Taking into account past and current BMI trends, it is anticipated that obesity will continue to take a significant ascent, as observed by the sharp increase from 1999 to 2008. Gender differences in BMI will continue to be as apparent, that is, women showing a higher BMI trend than men. In the coming years, the maximum mean BMI in more developed countries might be exceeded by those in less developed ones. Rather than focusing on obesity at the individual level, the immediate environment of the obese individual to broader socioeconomic contexts should be targeted. Most importantly, incentives at several organisational levels, the media, and educational institutions along with changes in food policies will need to be provided to low-income populations.

scholarly journals THE ROLE OF NUTRITIONAL HABITS AND BEHAVIOR FOR THE ETIOLOGY OF OVERWEIGHT AND OBESITY

2020 ◽  
Vol 18 (Suppl.1) ◽  
pp. 168-173
Author(s):  
T. Cvetanov
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
World Health Organisation ◽  
High Energy ◽  
Overweight And Obesity ◽  
World Health ◽  
Alternative Analysis ◽  
Nutritional Habits ◽  
Common Causes ◽  
And Behavior

Obesity is one of the most widespread diseases of our days .Because of its wild distribution not only among adults but also among children, adolescents and young people, the WORLD HEALTH ORGANISATION (WHO) include it in the list of socially and medically significant diseases with serious effects on human health. The factors for its etiology and development are complex, but the most authors identify the unhealthy nutritional habits and lack of regular physical activity as leading ones. The purpose of this study was to reveal the most common causes of weight increase above its normal levels in medical students. Material and methods. The study included 120 students from the Medical Faculty of the Thracian university -Stara Zagora. They carried out an individual anonymous questionnaire, with a total of 21 questions – closed, open and mixed, which aim was to reveal some of the possible causes leading to excess weight in the contingent studied. Methods used: Research and analysis of information sources, survey sociological method, alternative analysis. Results and discussion. In that report we will analyse the answers to those questions concerning the nutritional habits and behaviour of the respondents. It turns out that among the most common reasons for increasing body weight above the normal range is the presence of a number of unhealthy nutritional habits, such as the intake of high-energy food products of low biological value, the intake of a higher amount of food/overeating/and irregular eating. Conclusion. Based on the research carried out, we can summarize that a large number of the students surveyed demonstrate a good knowledge about the healthy and balanced nutrition, but unfortunately most of them do not follow it because of their dynamic and strenuous daily life, and this in combination with the decreased habitual physical activity will inevitably lead to an increased body weight.

scholarly journals The role of social exposure in predicting weight bias and weight bias internalisation: an international study

2021 ◽  
Author(s):  
Sarah-Jane F. Stewart ◽  
Jane Ogden
Keyword(s):  
Personal Exposure ◽  
World Health Organisation ◽  
Weight Bias ◽  
Overweight And Obesity ◽  
World Health ◽  
Personal Contact ◽  
Population Exposure ◽  
Obesity Prevalence ◽  
Social Exposure

Abstract Background Whilst the consequences of weight bias and weight bias internalisation (WBI) have been explored, less is known about the factors contributing to their development. Some research has explored the role of social exposure in weight bias and WBI but has been limited in its definition of exposure and focused solely on western countries. The present study therefore aimed to assess the role of social exposure defined in terms of both population and personal exposure in predicting weight bias and WBI, in an international sample. Methods Participants (N = 1041) from 33 countries, aged 18–85 years completed online measures of demographics, weight bias, WBI, and population and personal social exposure. Population exposure was defined using national obesity prevalence data from the World Health Organisation to classify countries as low (obesity rates ≤19.9%; n = 162), medium (20.0–29.9%; n = 672) or high prevalence (≥30%; n = 192). Personal exposure was defined in terms of personal contact and health and attractiveness normalisation. Results Using regression analysis, greater weight bias was significantly predicted by being younger, male, less educated, and personal exposure in terms of normalisation beliefs that thinner body types are healthier and more attractive, greater daily exposure and overall exposure to thinner friends. The strongest predictors of weight bias (adj R2 = 13%) were gender (β = −0.24, p < .001), and personal exposure in terms of normalisation beliefs that thinner body types are more attractive (β = −0.13, p = .001). The strongest predictors of WBI (adj R2 = 6%) were attractiveness normalisation (β = −0.23, p < 0.001) and participants’ perceived body shape (β = −0.27, p < 0.001). Population exposure did not predict either weight bias or WBI. Conclusions Personal exposure is more important than population exposure in predicting both weight bias and WBI. Findings hold implications for improving the wellbeing and lived experiences of those living with overweight and obesity.

scholarly journals Current pharmacotherapy for obesity

2020 ◽  
Vol 29 (4) ◽  
pp. 61-66
Author(s):  
V.A. Aliyeva
Keyword(s):  
Weight Loss ◽  
Fold Increase ◽  
World Health Organisation ◽  
Overweight And Obesity ◽  
World Health ◽  
Glucose And Lipid Metabolism ◽  
The World ◽  
Prevalence Of Obesity ◽  
Normal Body Weight

According to the World Health Organisation (WHO) report, over the last 40 years there was an almost three-fold increase in the prevalence of obesity across the world. During the same period the frequence of obesity in children and adolescents aged 5 to 19 years increased from 1% up to 7%. WHO reported that 65% of the world's population live in countries where overweight and obesity kills more people than underweight. Obesity is associated with various chronic diseases, such as type 2 diabetes, dyslipidemia, and arterial hypertension that increase the risk of disability and death. In patients with obesity, life expectancy is reduced by 15 years compared to individuals with normal body weight. Obesity and associated comorbidities significantly increase healthcare costs. The goals of treatment for obesity should include both weight loss and improvement of glucose and lipid metabolism, hemostasis, etc. The author reviews the current anti-obesity medications that can be used for weight loss.

scholarly journals DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic

2020 ◽  
Author(s):  
Mahdi Rezaei ◽  
Mohsen Azarmi
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
World Health Organisation ◽  
Superior Performance ◽  
World Health ◽  
People Detection ◽  
Social Distancing ◽  
Online Risk ◽  
Risk Zones ◽  
Spatio Temporal

Social distancing is a recommended solution by the World Health Organisation (WHO) to minimise the spread of COVID-19 in public places. The majority of governments and national health authorities have set the 2-meter physical distancing as a mandatory safety measure in shopping centres, schools and other covered areas. In this research, we develop a generic Deep Neural Network-Based model for automated people detection, tracking, and inter-people distances estimation in the crowd, using common CCTV security cameras. The proposed model includes a YOLOv4-based framework and inverse perspective mapping for accurate people detection and social distancing monitoring in challenging conditions, including people occlusion, partial visibility, and lighting variations. We also provide an online risk assessment scheme by statistical analysis of the Spatio-temporal data from the moving trajectories and the rate of social distancing violations. We identify high-risk zones with the highest possibility of virus spread and infections. This may help authorities to redesign the layout of a public place or to take precaution actions to mitigate high-risk zones. The efficiency of the proposed methodology is evaluated on the Oxford Town Centre dataset, with superior performance in terms of accuracy and speed compared to three state-of-the-art methods.

scholarly journals Efectos del sedentarismo y obesidad en el desarrollo psicomotor en niños y niñas: Una revisión de la actualidad latinoamericana

2016 ◽  
Vol 18 (1) ◽  
pp. 156
Author(s):  
Igor Cigarroa ◽  
Carla Sarqui ◽  
Rafael Zapata Lamana
Keyword(s):  
Latin America ◽  
Motor Development ◽  
Negative Impact ◽  
Experimental Studies ◽  
Childhood Overweight ◽  
Overweight And Obesity ◽  
World Health ◽  
Psychomotor Development ◽  
Psychomotor Tests ◽  
The Relationship

ResumenIntroducción: En 1995 la Organización Mundial de la Salud declaró la obesidad como una enfermedad. Actualmente, se considera una epidemia en adultos y niños. Su presencia en edades tempranas es factor de riesgo de obesidad y riesgo coronario en la adultez. Los niños con sobrepeso y obesidad practican menos actividad física y más actividades sedentarias. Estos estilos de vida son tal vez los principales responsables de los limitados patrones motores que presentan. Objetivo: Realizar una revisión y compilación de los estudios actuales en Latinoamérica que hablen sobre la relación entre obesidad, sedentarismo y desarrollo psicomotor infantil. Materiales y métodos: Se realizó la búsqueda en Pubmed y Scielo. Las palabras clave utilizadas fueron: desarrollo psicomotor, desarrollo motor, retraso en el desarrollo psicomotor, sobrepeso infantil, obesidad infantil, nutrición infantil. Resultados: Existe evidencia que apoya la relación entre sobrepeso/obesidad infantil y un bajo rendimiento en pruebas psicomotoras en estudios realizados en Latinoamérica. No se encontraron estudios de establezcan una relación positiva entre sobrepeso y obesidad y mejores puntajes en test psicomotrices. Conclusiones: Los resultados confirman el negativo impacto que tiene la malnutrición por exceso, en el desarrollo psicomotriz de niños y niñas. Aún cuando, una mayor cantidad de estudios experimentales son necesarios para confirmarlo.AbstractIntroduction: In 1995 the World Health Organization declared obesity as a disease. Currently, obesity is considered an epidemic in both adults and children. The presence of this disease at an early age is a risk factor for obesity and heart disease in adulthood. Increasingly, overweight and obese children practice less physical activity and they are more interested in sedentary activities. These lifestyles are perhaps the main cause of low performance in motor patterns. Objective: To conduct a review and compilation of current studies in Latin America to talk about the relationship between obesity, sedentary lifestyle and children's psychomotor development. Materials and methods: The search was conducted in Pubmed and Scielo. The keywords used were: psychomotor, motor development, delayed motor development, childhood overweight, childhood obesity and childhood nutrition. Results: There is evidence supporting the relationship between childhood overweight/obesity with poor performance in psychomotor tests in Latin America studies. No studies that establish a positive relationship between overweight and obesity with better psychomotor test scores were found. Conclusions: The results confirm the negative impact of malnutrition due to excess of food in children’s psychomotor development. Although a greater number of experimental studies are needed to confirm this statement.

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