scholarly journals Assessing the Impact of the Introduction of the World Health Organization Growth Standards and Weight-for-Height z-Score Criterion on the Response to Treatment of Severe Acute Malnutrition in Children: Secondary Data Analysis

PEDIATRICS ◽  
2009 ◽  
Vol 123 (1) ◽  
pp. e54-e59 ◽  
Author(s):  
S. Isanaka ◽  
E. Villamor ◽  
S. Shepherd ◽  
R. F. Grais
Keyword(s):  
Severe Acute Malnutrition ◽  
Secondary Data ◽  
Acute Malnutrition ◽  
World Health ◽  
Response To Treatment ◽  
Z Score ◽  
Growth Standards ◽  
The World ◽  
Health Organization ◽  
The Impact

scholarly journals Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis

2021 ◽  
Author(s):  
Ranadip Chowdhury ◽  
Nitika Nitika ◽  
Tarun Shankar Choudhary ◽  
Sunita Taneja ◽  
Jose Carlos Martines ◽  
...  
Keyword(s):  
Severe Acute Malnutrition ◽  
Population Attributable Fraction ◽  
Secondary Data ◽  
Acute Malnutrition ◽  
Adjusted Relative Risk ◽  
Z Score ◽  
Likelihood Ratios ◽  
Predictive Values ◽  
Growth Standards ◽  
Diagnostic Measures

Abstract Background Weight for length z-score (WLZ) <- 3 is currently used to define severe acute malnutrition (SAM) among infants. However, this approach has important limitations for infants younger than 6 months of age as WLZ cannot be calculated using WHO growth standards if infant length is <45 cm. Moreover, length for age z-score (LAZ) and weight for length z-score (WLZ) are least reliable measures, with high chances of variation, and less chances of detecting undernutrition in under 6 months infants. The objective of the current analysis was to compare WLZ with WAZ and LAZ in a cohort of Indian infants in predicting the deaths between 6 weeks and 6 months of age. Methods The data was from an individually randomized trial conducted in slums of Delhi, India in which infants’ weight and length were measured at 6 weeks of age (at the time of the first immunization visit). Vital status of the infants was documented from 6 weeks to 6 months of age. The sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios, and area under curve (AUC) were calculated for WAZ<-3, WLZ<-3, and LAZ<-3 for deaths between 6 weeks and 6 months of age. Results For deaths occurring between 6 weeks to 6 months of age, the specificity ranged between 85.9-95.9% for all three anthropometric indicators. However, the sensitivity was considerably higher for WAZ; it was 64.6 % for WAZ<-3, 39.1% for LAZ<-3, and 25.0% for WLZ<-3. WAZ <-3 had higher AUC (0.75; 95% CI: 0.68, 0.82) and hence, better discriminated deaths between 6 weeks and 6 months of age than WLZ<-3. The adjusted relative risk (RR 10.6, 95% CI 5.9, 18.9) and the population attributable fraction (PAF 57.9%, 95% CI 38.8, 71.0%) of mortality was highest for WAZ<-3. Conclusions We found WAZ<-3 at 6 weeks of age to be a better predictor of death in the 6 weeks to 6 months of life in comparison to WLZ<-3 and LAZ<-3 and propose that it should be considered to diagnose SAM in this age group.

scholarly journals Diagnostic Measures for Severe Acute Malnutrition in Indian Infants Under 6 Months of Age: a Secondary Data Analysis

2020 ◽  
Author(s):  
Ranadip Chowdhury ◽  
Nitika Nitika ◽  
Tarun Shankar Choudhary ◽  
Sunita Taneja ◽  
Jose Carlos Martines ◽  
...  
Keyword(s):  
Severe Acute Malnutrition ◽  
Population Attributable Fraction ◽  
Secondary Data ◽  
Acute Malnutrition ◽  
Adjusted Relative Risk ◽  
Z Score ◽  
Likelihood Ratios ◽  
Predictive Values ◽  
Growth Standards ◽  
Diagnostic Measures

Abstract Background Weight for length z-score (WLZ) <- 3 is currently used to define severe acute malnutrition (SAM) among infants. However, this approach has important limitations for infants younger than 6 months of age as WLZ cannot be calculated using WHO growth standards if infant length is <45 cm. Moreover, length for age z-score (LAZ) and weight for length z-score (WLZ) are least reliable measures, with high chances of variation, and less chances of detecting undernutrition in under 6 months infants. The objective of the current analysis was to compare WLZ with WAZ and LAZ in a cohort of Indian infants in predicting the deaths between 6 weeks and 6 months of age. Methods The data was from an individually randomized trial conducted in slums of Delhi, India in which infants’ weight and length were measured at 6 weeks of age (at the time of the first immunization visit). Vital status of the infants was documented from 6 weeks to 6 months of age. The sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios, and area under curve (AUC) were calculated for WAZ<-3, WLZ<-3, and LAZ<-3 for deaths between 6 weeks and 6 months of age. Results For deaths occurring between 6 weeks to 6 months of age, the specificity ranged between 85.9-95.9% for all three anthropometric indicators. However, the sensitivity was considerably higher for WAZ; it was 64.6 % for WAZ<-3, 39.1% for LAZ<-3, and 25.0% for WLZ<-3. WAZ <-3 had higher AUC (0.75; 95% CI: 0.68, 0.82) and hence, better discriminated deaths between 6 weeks and 6 months of age than WLZ<-3. The adjusted relative risk (RR 10.6, 95% CI 5.9, 18.9) and the population attributable fraction (PAF 57.9%, 95% CI 38.8, 71.0%) of mortality was highest for WAZ<-3.Conclusions We found WAZ<-3 at 6 weeks of age to be a better predictor of death in the 6 weeks to 6 months of life in comparison to WLZ<-3 and LAZ<-3 and propose that it should be considered to diagnose SAM in this age group.

Characterizing the effectiveness of COVID-19 mitigation measures: A data-centric approach (Preprint)

2020 ◽  
Author(s):  
Lukman Olagoke ◽  
Ahmet E. Topcu
Keyword(s):  
Control Measure ◽  
Control Measures ◽  
World Health ◽  
Mitigation Measures ◽  
Effective Control ◽  
The World ◽  
Decision Making Processes ◽  
And Performance ◽  
Health Organization ◽  
The Impact

BACKGROUND COVID-19 represents a serious threat to both national health and economic systems. To curb this pandemic, the World Health Organization (WHO) issued a series of COVID-19 public safety guidelines. Different countries around the world initiated different measures in line with the WHO guidelines to mitigate and investigate the spread of COVID-19 in their territories. OBJECTIVE The aim of this paper is to quantitatively evaluate the effectiveness of these control measures using a data-centric approach. METHODS We begin with a simple text analysis of coronavirus-related articles and show that reports on similar outbreaks in the past strongly proposed similar control measures. This reaffirms the fact that these control measures are in order. Subsequently, we propose a simple performance statistic that quantifies general performance and performance under the different measures that were initiated. A density based clustering of based on performance statistic was carried out to group countries based on performance. RESULTS The performance statistic helps evaluate quantitatively the impact of COVID-19 control measures. Countries tend show variability in performance under different control measures. The performance statistic has negative correlation with cases of death which is a useful characteristics for COVID-19 control measure performance analysis. A web-based time-line visualization that enables comparison of performances and cases across continents and subregions is presented. CONCLUSIONS The performance metric is relevant for the analysis of the impact of COVID-19 control measures. This can help caregivers and policymakers identify effective control measures and reduce cases of death due to COVID-19. The interactive web visualizer provides easily digested and quick feedback to augment decision-making processes in the COVID-19 response measures evaluation. CLINICALTRIAL Not Applicable

scholarly journals COVID-19 pandemic: A review of the global lockdown and its far-reaching effects

2021 ◽  
Vol 104 (2) ◽  
pp. 003685042110198
Author(s):  
Helen Onyeaka ◽  
Christian K Anumudu ◽  
Zainab T Al-Sharify ◽  
Esther Egele-Godswill ◽  
Paul Mbaegbu
Keyword(s):  
Mental Health ◽  
Global Economy ◽  
World Health ◽  
Global Pandemic ◽  
The World ◽  
Education Delivery ◽  
Environmental Air ◽  
Health Organization ◽  
Almost All ◽  
The Impact

COVID-19, caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), was declared a pandemic by the World Health Organization (WHO) on the 11th of March 2020, leading to some form of lockdown across almost all countries of the world. The extent of the global pandemic due to COVID-19 has a significant impact on our lives that must be studied carefully to combat it. This study highlights the impacts of the COVID-19 pandemic lockdown on crucial aspects of daily life globally, including; Food security, Global economy, Education, Tourism, hospitality, sports and leisure, Gender Relation, Domestic Violence/Abuse, Mental Health and Environmental air pollution through a systematic search of the literature. The COVID-19 global lockdown was initiated to stem the spread of the virus and ‘flatten the curve’ of the pandemic. However, the impact of the lockdown has had far-reaching effects in different strata of life, including; changes in the accessibility and structure of education delivery to students, food insecurity as a result of unavailability and fluctuation in prices, the depression of the global economy, increase in mental health challenges, wellbeing and quality of life amongst others. This review article highlights the impacts of the COVID-19 pandemic lockdown across the globe. As the global lockdown is being lifted in a phased manner in various countries of the world, it is necessary to explore its impacts to understand its consequences comprehensively. This will guide future decisions that will be made in a possible future wave of the COVID-19 pandemic or other global disease outbreak.

Construction of the World Health Organization child growth standards: selection of methods for attained growth curves

2005 ◽  
Vol 25 (2) ◽  
pp. 247-265 ◽  
Author(s):  
E. Borghi ◽  
M. de Onis ◽  
C. Garza ◽  
J. Van den Broeck ◽  
E. A. Frongillo ◽  
...  
Keyword(s):  
World Health Organization ◽  
Growth Curves ◽  
Child Growth ◽  
World Health ◽  
Growth Standards ◽  
The World ◽  
Health Organization ◽  
Selection Of

scholarly journals Coronavirus Pandemic: Coping with the Psychological Outcomes, Mental Changes, and the “New Normal” During and After COVID-19

2020 ◽  
pp. 07-19
Author(s):  
Hiba Takieddine ◽  
Samaa AL Tabbah
Keyword(s):  
Healthcare Providers ◽  
Well Being ◽  
World Health ◽  
Vulnerable Groups ◽  
Public Health Response ◽  
New Normal ◽  
The World ◽  
Health Organization ◽  
The Impact

Coronavirus disease 2019 (COVID-19) is a highly infectious disease that has rapidly swept across the world, inducing a considerable degree of fear, worry and concern in the population at large and among certain groups in particular, such as older adults, healthcare providers and people with underlying health conditions. Authorities around the world tried to prevent the virus spread by imposing social distancing measures, quarantining citizens and isolating infected persons. Apart from its physical impact, COVID-19 pandemic has brought numerous changes to people’s lives. It changed daily routines, caused worldwide economic crisis, increased unemployment, and placed people under emotional and financial pressures. It affected people psychologically and mentally especially in terms of emotions and cognition. During the acute crisis, everyone to varying degrees experienced fear of infection, somatic concerns, worries about the pandemic’s consequences, loneliness, depression, stress, as well as increased alcohol and drug use. As part of its public health response, the World Health Organization (WHO) has worked with partners to develop a set of new guidelines and messages that can be used to prevent, manage, and support mental and psychological well-being in different vulnerable target groups during the outbreak. Whether people like it or not, the psychological sequela of this pandemic will emerge and persist for months and years to come leading to long-term consequences. New lifestyles and “New Normals” will surely emerge. The main purpose of this review is to summarize the impact of coronavirus pandemic on the psychological and mental health of people around the world especially vulnerable groups. It also presents the relevant intervention actions and recommendations to cope efficiently and effectively with the psychological short-term and long-term outcomes, mental changes, and the “New Normal” during and after COVID-19. Keywords: COVID-19; Coronavirus, Psychological; Mental; New Normal

Developing Medicines in Line with Global Public Health Needs: The Role of the World Health Organization

2011 ◽  
Vol 20 (2) ◽  
pp. 290-297 ◽  
Author(s):  
TIKKI PANG
Keyword(s):  
World Health Organization ◽  
Gender Violence ◽  
Sub Saharan Africa ◽  
World Health ◽  
Director General ◽  
Global Public Health ◽  
Absolute Poverty ◽  
The World ◽  
Health Organization ◽  
The Impact

“I want my leadership to be judged by the impact of our work on the health of two populations: women and the people of Africa.” This is how Dr. Margaret Chan, the current Director-General of the World Health Organization (WHO), described her leadership mission. The reason behind this mission is evident. Women and girls constitute 70% of the world’s poor and 80% of the world’s refugees. Gender violence against women aged 15–44 is responsible for more deaths and disability than cancer, malaria, traffic accidents, and war. An estimated 350,000 to 500,000 women still die in childbirth every year. The negative health implications of absolute poverty are worst in Sub-Saharan Africa and South Asia. Hence, Chan aims to have the biggest impact on the world’s poorest people.

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