scholarly journals Migraine and stress—an exploratory cross-country study of external stress factors

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Irene van Staveren
Keyword(s):  
Labour Productivity ◽  
External Stress ◽  
Stress Factors ◽  
Middle Income ◽  
Proxy Variables ◽  
Country Level ◽  
Modifiable Factors ◽  
The One ◽  
Almost All ◽  
Years Lived With Disability

Abstract Objective The data collected by the Global Burden of Disease 2016 project indicate that migraine ranks second in high-income countries with very competitive and flexible labour markets, and first in low- and middle-income countries suffering from civic unrest and conflict. This raises the question whether external stress factors may be correlated with migraine years lived with disability per 100,000 inhabitants (YLD). The objective of this exploratory study is to test the hypothesis that external stress factors are correlated with the prevalence and severity of migraine at the country level. The analysis uses two country groups: developed and developing countries. For the first group, the proxy variables for stress are labour productivity and unemployment rate. For the second group, the proxy variables measure conflict-related deaths and share of migrant/refugee population. Results The results show a positive relationship between the stress variables on the one hand and migraine YLD on the other hand for both country groups. Almost all results are statistically significant at p < 0.01. These exploratory findings suggest that societal stress factors may be potential candidates for modifiable factors for the prevalence and/or severity of migraine at the country level.

Migraine and Stress – An Explorative Cross-Country Study of External Stress Factors

2020 ◽  
Author(s):  
Irene van Staveren
Keyword(s):  
Low Income ◽  
Developed Countries ◽  
Ordinary Least Squares ◽  
External Stress ◽  
Stress Factors ◽  
Middle Income ◽  
Middle Income Countries ◽  
Proxy Variables ◽  
Modifiable Factors ◽  
Cross Country

Abstract BackgroundAccording to the Global Burden of Disease 2016 project, migraine ranks first for 15-49 years and second for all ages. The project has reported no significant relation with socio-economic status of a country. To the contrary, migraine ranks first for all ages in low- and middle-income countries suffering from civic unrest and conflict. This raises the question whether external stress factors may be correlated with migraine years lived with disability (YLD).MethodsIn the absence of cross-country studies on migraine and stress, this is a unique exploratory study. The analysis uses two country groups: developed countries (including some middle-income countries) and developing (middle- and low-income) countries. For the first group, proxy variables for stress are included that relate to flexible and highly competitive labour markets (productivity and unemployment), whereas for the second group, proxy variables are used that relate to conflict and migration. The data were analysed with multiple ordinary least squares cross-section regressions.ResultsThe results show a positive relationship between the stress variables on the one hand and migraine YLD on the other hand for both country groups. Almost all results are statistically significant at p<0.01.ConclusionsThe findings from the exploratory cross-country analysis suggest that societal stress factors may be potential candidates for modifiable factors for the prevalence and severity of migraine at the country level.

scholarly journals How Nations Learn

2019 ◽  
Keyword(s):  
Learning By Doing ◽  
First Century ◽  
Dynamic Learning ◽  
Firm Level ◽  
Middle Income ◽  
Country Level ◽  
Depth Analysis ◽  
Catch Up ◽  
Twenty First Century ◽  
The One

Authored by eminent scholars, the volume aims to generate interest and debate among policymakers, practitioners, and researchers on the complexity of learning and catch-up, particularly for twenty-first century late-late developers. The volume explores technological learning at the firm level, policy learning by the state, and the cumulative and multifaceted nature of the learning process, which encompasses learning by doing, by experiment, emulation, innovation, and leapfrogging. Why is catch-up rare? And why have some nations succeeded while others failed? What are the prospects for successful learning and catch-up in the twenty-first century? These are pertinent questions that require further research and in-depth analysis. The World Bank estimates that out of the 101 middle-income economies in 1960, only thirteen became high income by 2008. This volume examines how nations learn by reviewing key structural and contingent factors that contribute to dynamic learning and catch-up. Rejecting both the one-size-fits-all approach and the agnosticism that all nations are unique and different, the volume uses historical as well as firm-level, industry-level, and country-level evidence and experiences to identify the sources and drivers of successful learning and catch-up and the lessons for late-latecomer countries. Building on the latecomer-advantage perspective, the volume shows that what is critical for dynamic learning and catch-up is not learning per se but the intensity of learning, robust industrial policies, and the pace and direction of learning. Equally important are the passion to learn, long-term strategic vision, and understanding the context in which successful learning occurs.

Compressed Development

2020 ◽  
Author(s):  
D. Hugh Whittaker ◽  
Timothy Sturgeon ◽  
Toshie Okita ◽  
Tianbiao Zhu
Keyword(s):  
Social Development ◽  
Global Economy ◽  
National Development ◽  
Value Chains ◽  
Middle Income ◽  
The United Kingdom ◽  
Development Processes ◽  
Multiple Levels ◽  
New Perspective ◽  
The One

This book highlights the importance of time and timing in economic and social development. ‘Compressed development’ consists of two key features and their interaction: the tendency for development processes to unfold more rapidly (compression) and the institution-shaping influences of major periods of change and growth, especially when countries become integrated into the global economy (era). Using an interdisciplinary conceptual framework of state–market and organization–technology co-evolution, the authors contrast the experiences of ‘early’ and ‘late’ developers such as the United Kingdom and Japan, with countries–most notably China–which have become more deeply integrated with the global economy since the 1990s. Compressed developers experience ‘thin industrialization’, layered types of employment, and ‘double burdens’ or challenges in social development. National development strategies must accommodate global value chains and powerful international actors on the one hand, and decentralization on the other. To cope, and thrive, states must remain developmental, whilst being increasingly engaged and adaptive in multiple levels of governance. Compressed Development explores the historical and contemporary features of economic and social development at the intersection of development studies and studies of globalization. By bringing a new perspective on the ‘middle-income trap’, as well as the emerging digital economy, and the state–market and geopolitical tensions that are currently upending conventional wisdoms, the book offers timely insights that will be useful, not only for students of development, but for policymakers, business, and labour organization seeking to navigate the rushing currents of contemporary capitalism.

scholarly journals The Diagnosis and Therapy of Degenerative Knee Joint Disease: Expert Consensus from the Chinese Pain Medicine Panel

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Dong Huang ◽  
Yan-Qing Liu ◽  
Li-Shuang Liang ◽  
Xue-Wu Lin ◽  
Tao Song ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Diagnosis And Treatment ◽  
Joint Disease ◽  
Knee Joints ◽  
Reproduction Rate ◽  
Pain Specialist ◽  
Chinese Association ◽  
The One ◽  
Almost All ◽  
Based Medicine

At present, there are many constantly updated guidelines and consensuses on the diagnosis and treatment of osteoarthritis both at home and abroad. The recommendations established using methods of evidence-based medicine has experienced strict research on controlling bias and promoting reproduction rate. As a result, the previous evidence was reevaluated, and a lot of changes were provoked in the diagnosis and treatment concept of osteoarthritis. However, several methods not recommended by foreign guidelines are still in use in the current clinical practice in China. On the one hand, Chinese experts have not reached extensive consensus on whether it is necessary to make changes according to foreign guidelines. On the other hand, almost all the current relevant guidelines are on osteoarthritis, but the lesions around knee joints which, as a whole, bear the largest weight in human body, cannot be ignored. For this purpose, Chinese Association for the Study of Pain (CASP) organized some leading experts to formulate this Chinese Pain Specialist Consensus on the diagnosis and treatment of degenerative knee osteoarthritis (DKOA) in combination with the guidelines in foreign countries and the expert experience of clinical practice in China. The consensus, which includes the definition, pathophysiology, epidemiology, clinical manifestation, diagnostic criteria, and treatments of DKOA, is intended to be used by first-line doctors, including pain physicians to manage patients with DKOA.

scholarly journals Analysis of Risk Factors in Dementia Through Machine Learning

2020 ◽  
pp. 1-17
Author(s):  
Francisco Javier Balea-Fernandez ◽  
Beatriz Martinez-Vega ◽  
Samuel Ortega ◽  
Himar Fabelo ◽  
Raquel Leon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optimization Algorithms ◽  
Progressive Increase ◽  
Control Group ◽  
Data Sets ◽  
Modifiable Factors ◽  
Validation Set ◽  
The One ◽  
And Control ◽  
Potential Tool

Background: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer’s disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiable factors and on the other, modifiable. Objective: This study aims to develop a processing framework based on machine learning (ML) and optimization algorithms to study sociodemographic, clinical, and analytical variables, selecting the best combination among them for an accurate discrimination between controls and subjects with major neurocognitive disorder (MNCD). Methods: This research is based on an observational-analytical design. Two research groups were established: MNCD group (n = 46) and control group (n = 38). ML and optimization algorithms were employed to automatically diagnose MNCD. Results: Twelve out of 37 variables were identified in the validation set as the most relevant for MNCD diagnosis. Sensitivity of 100%and specificity of 71%were achieved using a Random Forest classifier. Conclusion: ML is a potential tool for automatic prediction of MNCD which can be applied to relatively small preclinical and clinical data sets. These results can be interpreted to support the influence of the environment on the development of AD.

Leptospirosis prevalence and risk factors in India: Evidence gap maps

2021 ◽  
pp. 004947552110052
Author(s):  
Sandeep Moola ◽  
Deepti Beri ◽  
Abdul Salam ◽  
Jagnoor Jagnoor ◽  
Arun Teja ◽  
...  
Keyword(s):  
Risk Factors ◽  
One Health ◽  
Data Extraction ◽  
Research Priorities ◽  
Risk Groups ◽  
Public Health Importance ◽  
Country Level ◽  
Disease Condition ◽  
Extraction Parameters ◽  
The One

Leptospirosis is a zoonotic disease of public health importance in India. A country-level evidence gap map was developed to identify gaps on epidemiology of leptospirosis. It is the first such on leptospirosis globally and on any single disease condition in India. The steps for development of evidence gap map were development of a framework to map evidence, retrieval of evidence, data extraction parameters and mapping of available evidence in evidence gap map framework. The prevalence evidence gap map consisted of 157 studies (102 in humans, 55 in animals, and 12 in both). The evidence gap map on risk factors had 120 studies (102 in humans, 11 in animals and 7 in both). There were inter-state differences in availability of research and disparity between animal and human research. Research on high-risk groups was limited and studies did not use the One Health approach to identify epidemiology, which can help understand the issue more comprehensively. The study demonstrates the potential of evidence gap maps to inform research priorities.

scholarly journals Predictors of Contemporary under-5 Child Mortality in Low- and Middle-Income Countries: A Machine Learning Approach

2021 ◽  
Vol 18 (3) ◽  
pp. 1315
Author(s):  
Andrea Bizzego ◽  
Giulio Gabrieli ◽  
Marc H. Bornstein ◽  
Kirby Deater-Deckard ◽  
Jennifer E. Lansford ◽  
...  
Keyword(s):  
Machine Learning ◽  
Child Mortality ◽  
Learning Approach ◽  
Unique Contribution ◽  
Middle Income ◽  
Middle Income Countries ◽  
Country Level ◽  
Machine Learning Approach ◽  
Operational Information ◽  
Low And Middle Income

Child Mortality (CM) is a worldwide concern, annually affecting as many as 6.81% children in low- and middle-income countries (LMIC). We used data of the Multiple Indicators Cluster Survey (MICS) (N = 275,160) from 27 LMIC and a machine-learning approach to rank 37 distal causes of CM and identify the top 10 causes in terms of predictive potency. Based on the top 10 causes, we identified households with improved conditions. We retrospectively validated the results by investigating the association between variations of CM and variations of the percentage of households with improved conditions at country-level, between the 2005–2007 and the 2013–2017 administrations of the MICS. A unique contribution of our approach is to identify lesser-known distal causes which likely account for better-known proximal causes: notably, the identified distal causes and preventable and treatable through social, educational, and physical interventions. We demonstrate how machine learning can be used to obtain operational information from big dataset to guide interventions and policy makers.

scholarly journals Application of Hyperspectral Imaging in the Assessment of Drought and Salt Stress in Magneto-Primed Triticale Seeds

Plants ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 835
Author(s):  
Jose Alvarez ◽  
Elvira Martinez ◽  
Belén Diezma
Keyword(s):  
Salt Stress ◽  
Hyperspectral Imaging ◽  
Human Observer ◽  
Negative Effects ◽  
Stress Symptoms ◽  
Data Variability ◽  
Drought And Salt Stress ◽  
The One ◽  
Almost All ◽  
Germination Parameters

Hyperspectral imaging is an appropriate method to thoroughly investigate the microscopic structure of internally heterogeneous agro-food products. By using hyperspectral technology, identifying stress symptoms associated with salinity, before a human observer, is possible, and has obvious benefits. The objective of this paper was to prove the suitability of this technique for the analysis of Triticale seeds subjected to both magneto-priming and drought and salt stress conditions, in terms of image differences obtained among treatments. It is known that, on the one hand, drought and salt stress treatments have negative effects on seeds of almost all species, and on the other hand, magneto-priming enhances seed germination parameters. Thus, this study aimed to relate hyperspectral imaging values—neither positive nor negative in themselves—to the effects mentioned above. Two main conclusions were reached: Firstly, the hyperspectral application is a feasible method for exploring the Triticale structure and for making distinctions under different drought and salt stress treatments, in line with the data variability obtained. Secondly, the lower spectral reflectance in some treatments—in the 400–1000 nm segment—is the result of a great number of chemical compounds in the seed that could be related to magneto-priming.

scholarly journals Tobacco intervention research in low- and middle-income countries: lessons learned and future directions

2016 ◽  
Vol 11 (2) ◽  
pp. 61-64 ◽  
Author(s):  
Kenneth D. Ward
Keyword(s):  
Tobacco Control ◽  
Tobacco Use ◽  
Tobacco Cessation ◽  
Tobacco Dependence ◽  
Lessons Learned ◽  
Future Directions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Country Level ◽  
Tobacco Intervention

Treating tobacco dependence is paramount for global tobacco control efforts, but is often overshadowed by other policy priorities. As stated by Jha (2009), “cessation by current smokers is the only practical way to avoid a substantial proportion of tobacco deaths worldwide before 2050.” Its importance is codified in Article 14 of the Framework Convention on Tobacco Control (FCTC), and in the WHO's MPOWER package of effective country-level policies. Unfortunately, only 15% of the world's population have access to appropriate cessation support (WHO, 2015). Moreover, parties to the FCTC have implemented only 51% of the indicators within Article 14, on average, which is far lower than many other articles (WHO, 2014). Further, commenting on the use of “O” measures (Offer help to quit tobacco use) in the MPOWER acronym, WHO recently concluded, “while there has been improvement in implementing comprehensive tobacco cessation services, this is nonetheless a most under-implemented MPOWER measure in terms of the number of countries that have fully implemented it” (WHO, 2015). To the detriment of global tobacco control efforts, only one in eight countries provides comprehensive cost-covered services, only one in four provide some cost coverage for nicotine replacement therapy, and fewer than one third provide a toll-free quit line (WHO, 2015).

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