scholarly journals Non-Communicable Chronic Diseases Among Residents of a Remote Settlement in the Transbaikal Region of the Russian Federation

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Oleg Gaisenok
Keyword(s):  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Chronic Diseases ◽  
Russian Federation ◽  
Communicable Diseases ◽  
Transbaikal Region ◽  
Noncommunicable Diseases ◽  
Chronic Obstructive ◽  
Non Communicable Diseases ◽  
The Russian Federation

Introduction: Over a quarter of the population of the Russian Federation resides in rural communities. However, the data on chronic disease rates in these communities are limited, which makes screening for chronic diseases extremely important. The aim of this study was to measure the prevalence of chronic noncommunicable diseases among residents of a remote settlement in the Transbaikal region, Russian Federation.Methods: A sample of residents from the Transbaikal region settlement was screened in August 2017. The screening included a survey to determine the frequency of self-reported chronic diseases as well as sociodemographic and behavioral risk factors. Additionally, vascular stiffness was measured by volumetric sphygmography using the VaSera-1500 device. Descriptive statistics have been used for data analysis.Results: 126 residents were screened for this study. The prevalence of chronic non-communicable diseases and their risk factors were: hypertension (56.3%), gastrointestinal diseases (33.3%), chronic obstructive pulmonary disease (13.5%), smoking (35.7%), obesity (19.1%), and diabetes mellitus (6.3%). Pathological vascular changes typical of atherosclerosis were found by volumetric sphygmography in 17.5% of cases, with 5.5% of those cases corresponding to significant forms of severe peripheral atherosclerosis (ABI<0.9). An analysis of mortality causes for this settlement for 2016-2017 found that cardiovascular diseases accounted for over 50% of the total number of deaths.Conclusion: This study showed a high prevalence of detectable chronic non-communicable diseases and their associated risk factors. Cardiovascular diseases were the main cause of mortality. Active prevention programs and screenings are required to reduce the burden of chronic diseases in this region.

scholarly journals The epidemiological situation as a factor determining the strategy for reducing mortality in the Russian Federation

2020 ◽  
Vol 92 (1) ◽  
pp. 4-9 ◽  
Author(s):  
S A Boytsov ◽  
S A Shalnova ◽  
A D Deev
Keyword(s):  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Cause Of Death ◽  
Russian Federation ◽  
Communicable Diseases ◽  
Epidemiological Analysis ◽  
Non Communicable Diseases ◽  
The Russian Federation ◽  
Epidemiological Situation

Chronic non - communicable diseases, mainly cardiovascular diseases, are the leading cause of death worldwide, including in the Russian Federation (RF). The article analyzes the negative and positive trends of the most relevant risk factors for cardiovascular diseases for the period from 2013 to 2017, and also provides a strategy for reducing mortality in the Russian Federation for the period up to 2024 based on data from an epidemiological analysis.

‘I think one of the ways they will help is to create awareness’: primary school teachers’ perceptions of cardiovascular diseases in Nigeria

2019 ◽  
Vol 27 (4) ◽  
pp. 24-31
Author(s):  
Kingsley Udeh ◽  
Candidus Nwakasi ◽  
John Fulton
Keyword(s):  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Primary School ◽  
Cardiovascular Health ◽  
Communicable Diseases ◽  
Health Concern ◽  
Structured Interviews ◽  
School Teachers ◽  
Primary School Teachers ◽  
Non Communicable Diseases

The increasing incidence and prevalence of non-communicable diseases is a major global health concern. Cardiovascular diseases (CVDs) account for the highest percentage of deaths related to non-communicable diseases, and low and middle-income countries (LMIC) face the highest burden of CVDs. Understanding the knowledge and perception of CVDs and their risk factors in an LMIC such as Nigeria may play an important role in cardiovascular health promotion and improvement plans to reduce CVD-related deaths. A qualitative study was conducted using semi-structured interviews to gain an in-depth understanding of some personal and sociocultural views on CVDs and their risk factors. The participants were purposively sampled primary school teachers in South-Eastern Nigeria. Thematic analysis approach was used for data analysis. The study findings include knowledge of heart disease, perceived causes and risk factors of CVDs, spirituality, and the way forward. Overall, the knowledge of CVDs in the setting was found to be related to the psychosocial nature of the participants; the effectiveness of any intervention needs to take these factors into consideration. For example, health policies for CVD health education and awareness should be tailored to address some of the issues of belief, values, and religion, as mentioned in the study.

“I feel fine. Do I really need to take a cholesterol pill?”

HIV ◽  
2020 ◽  
pp. 189-200
Author(s):  
Arvind Nishtala ◽  
Matthew J. Feinstein
Keyword(s):  
Risk Factors ◽  
Antiretroviral Therapy ◽  
Cardiovascular Diseases ◽  
Chronic Condition ◽  
Clinical Manifestations ◽  
Epidemiological Studies ◽  
Communicable Diseases ◽  
Non Communicable Diseases ◽  
The Past ◽  
Traditional Risk Factors

With widespread antiretroviral therapy (ART) accessibility and uptake, HIV has transitioned in many ways to a chronic condition marked by heightened risks of non-communicable diseases. Several clinical and epidemiological studies over the past two decades have demonstrated elevated risks for cardiovascular diseases (CVDs) among people with HIV. These risks appear to be particularly elevated among people with histories of long periods of uncontrolled viremia and CD4 lymphopenia, and dovetail with traditional risk factors (such as smoking) that are common among people with HIV. This chapter presents a discussion of the evolving epidemiology, clinical manifestations, and putative mechanisms of CVDs among people with HIV.

Modeling Chronic Diseases in Relation to Risk Factors

2019 ◽  
Author(s):  
Pieter van Baal ◽  
Hendriek Boshuizen
Keyword(s):  
Risk Factors ◽  
Simulation Model ◽  
Chronic Diseases ◽  
Simulation Modeling ◽  
Disease Modeling ◽  
Healthcare Spending ◽  
Communicable Diseases ◽  
Future Research ◽  
Non Communicable Diseases ◽  
Multiple Chronic Diseases

In most countries, non-communicable diseases have taken over infectious diseases as the most important causes of death. Many non-communicable diseases that were previously lethal diseases have become chronic, and this has changed the healthcare landscape in terms of treatment and prevention options. Currently, a large part of healthcare spending is targeted at curing and caring for the elderly, who have multiple chronic diseases. In this context prevention plays an important role, as there are many risk factors amenable to prevention policies that are related to multiple chronic diseases. This article discusses the use of simulation modeling to better understand the relations between chronic diseases and their risk factors with the aim to inform health policy. Simulation modeling sheds light on important policy questions related to population aging and priority setting. The focus is on the modeling of multiple chronic diseases in the general population and how to consistently model the relations between chronic diseases and their risk factors by combining various data sources. Methodological issues in chronic disease modeling and how these relate to the availability of data are discussed. Here, a distinction is made between (a) issues related to the construction of the epidemiological simulation model and (b) issues related to linking outcomes of the epidemiological simulation model to economic relevant outcomes such as quality of life, healthcare spending and labor market participation. Based on this distinction, several simulation models are discussed that link risk factors to multiple chronic diseases in order to explore how these issues are handled in practice. Recommendations for future research are provided.

scholarly journals Economic damage from smoking associated with four groups of chronic non-communicable diseases in the Russian Federation in 2016

2019 ◽  
Vol 18 (6) ◽  
pp. 6-12
Author(s):  
I. D. Sapunova ◽  
A. V. Kontsevaya ◽  
A. O. Myrzamatova ◽  
D. K. Mukaneeva ◽  
M. B. Khudyakov ◽  
...  
Keyword(s):  
Russian Federation ◽  
Communicable Diseases ◽  
Economic Damage ◽  
Non Communicable Diseases ◽  
The Russian Federation

scholarly journals Health of refugees and migrants from former Soviet Union countries in the Russian Federation: a narrative review

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Nataliia Bakunina ◽  
Artyom Gil ◽  
Vitaly Polushkin ◽  
Boris Sergeev ◽  
Margarita Flores ◽  
...  
Keyword(s):  
Health Status ◽  
Soviet Union ◽  
Infectious Diseases ◽  
Russian Federation ◽  
Former Soviet Union ◽  
Communicable Diseases ◽  
Narrative Review ◽  
Basic Knowledge ◽  
Non Communicable Diseases ◽  
The Russian Federation

Abstract This narrative review was conducted to synthesize and summarize available up-to-date evidence on current health status, including both non-communicable diseases and infectious diseases, of migrants and refugees from the former Soviet Union countries in the Russian Federation. Epidemiological and sociological studies with one or more determinants of the health, as well as relevant qualitative studies characterizing risk factors, well-being indicators, and lifestyles of migrants and refugees from the former Soviet Union countries in Russia published from 2004 to 2019 in Russian and English languages were included in the review. Despite significant limitations of the available research literature in the field, some patterns in migrants’ health in Russia and issues that need to be addressed were identified. In particular, the syndemic epidemics of communicable and non-communicable diseases, additively increasing negative health consequences, including cardiovascular diseases and chronic digestive system diseases, high rates of sexually transmitted infections and HIV, respiratory diseases and a growing percentage of new tuberculosis cases among migrants from the former Soviet Union countries are all of great concern. Possibly, the burden of these co-occurring morbidities is linked to commonly reported issues among this population group, such as poor nutrition and living conditions, high prevalence of unskilled manual labour, non-compliance with sanitary norms, lack of basic vaccinations, lack of basic knowledge about safe sexual practices and risky sexual behaviour, low healthcare seeking behaviour and limited access to health care. Importantly, these findings may urge the government to increase efforts and promote international collaboration in combating the threat of infectious diseases. Additionally, it was found that migrants had higher levels of anxiety and post-traumatic stress disorder, and those who stayed in the receiving country 5 years or more had a higher level of somatic pathology than those whose stay was less than 5 years. In order to ensure an adequate health system response and fulfil the main Universal Health Coverage principle of “leaving no one behind”, a robust monitoring system of the health status of refugees and migrants and an integrated legal framework for the standardized and more inclusive routine care for this population in Russia is urgently needed.

An Education Driven Model for Non-Communicable Diseases Care

2016 ◽  
pp. 391-418 ◽  
Author(s):  
Fábio Pittoli ◽  
Henrique Damasceno Vianna ◽  
Jorge Luis Victória Barbosa
Keyword(s):  
Risk Factors ◽  
Prediction Model ◽  
Bayesian Networks ◽  
Chronic Diseases ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
Treatment Recommendations ◽  
Non Communicable Diseases ◽  
Cause And Effect ◽  
Non Communicable Disease

Patients with chronic diseases should be made aware of their planned treatments as well as being kept informed of the progress of those treatments. The Chronic Prediction model was designed not only to educate patients and assist them with some chronic non-communicable disease, but to control the risk factors that affect their diseases. The model utilizes Bayesian networks to map three things: to identify the cause and effect relationships among existing risk factors; to provide treatment recommendations about these risk factors and; to aid caregivers in the treatment of the patients.

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