Prevalence of Obesity and Its Relationship With Cardiovascular Risk According to Data of Population Screening Programs

Gaisenok, O. V.; Alexandrova, A. A.; Savina, N.M.

doi:10.21045/2071-5021-2020-66-2-1

Cited by 2 publications

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“…The lack of physical activity for several months inevitably should lead to an increase in body weight. Overweight / obesity not only increases the risk of developing cardiovascular diseases and their complications [26], but is also considered a risk factor for pneumonia, its severity [27] and, according to recent data, is a factor predisposing to COVID-19 [28].…”

Section: Introductionmentioning

confidence: 99%

Pandemic of Fear or What Statistics Hide: Patients with Cardiovascular Disease are at Increased Risk During COVID-19

Gaisenok

2021

ICFJ

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Insufficient statistical information on the structure of mortality in the era of the pandemic is disclosed in this article. It analyzes the statistics and the causes of death during the COVID-19 pandemic from a new coronavirus infection and cardiovascular disease. Actual international data on a decrease in the hospitalization rate of patients with acute coronary syndrome are presented. A comparative analysis of statistics from European countries and Russia shows that cardiovascular diseases are the leading cause of death in populations, and patients with cardiovascular diseases are at increased risk for morbidity and mortality during the COVID pandemic.

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Section: Introductionmentioning

confidence: 99%

Pandemic of Fear or What Statistics Hide: Patients with Cardiovascular Disease are at Increased Risk During COVID-19

Gaisenok

2021

ICFJ

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Sex and age specificities of the dynamics of anthropometric indicators characterizing obesity (according to a prospective epidemiological research)

Tsygankova,

Bazdyrev,

Nakhratova

et al. 2024

Acta biomedica scientifica

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Background. Overweight and obesity significantly increase the risk of premature death and the development of chronic diseases. Many anthropometric indices have been developed to verify obesity, although the best among them still remains undetermined.The aim. To determine the sex and age specificities of the dynamics of anthropometric indicators characterizing obesity.Materials and methods. The program was implemented in the period from 2015 to 2020. It provided for the implementation of a sample research. The baseline research included 1,124 women and 476 men. The average age was 54.9 ± 9.75 years and 52.6 ± 10.0 years, respectively. To identify gender specificities, all participants were divided into three age groups: 35–49 years old, 50–59 years old, and 60–70 years old. The observation period was 3 years. To determine the level of visceral fat, the VS-532 fat mass analyzer (Tanita Health Equipment HK Ltd., Hong Kong) was used. Body mass index (BMI), waist-hip index (WV/HV), visceral obesity index (VOI) were also calculated. Statistical processing of the results was carried out using the program Statistica 6.0 (StatSoft Inc., USA).Results. New cases of obesity developed in 30.6 % of the surveyed. There was an increase in the prevalence of obesity according to the criteria of WV (by 8.9 %) and VFL (by 5.4 %) and a decrease in the number of people who are obese according to WV/HV – by 4.2 %. Of all the indicators, only VOI showed a statistically significant decrease in the mean values over the observed period, while BMI, WV and VFL showed an increase.Conclusions. It is necessary to apply various criteria for the diagnosis of obesity, since individual indices are not able to fully reflect the gender and age specificities of the distribution of fat in the body

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Prevalence of Obesity and Its Relationship With Cardiovascular Risk According to Data of Population Screening Programs

Cited by 2 publications

References 0 publications

Pandemic of Fear or What Statistics Hide: Patients with Cardiovascular Disease are at Increased Risk During COVID-19

Pandemic of Fear or What Statistics Hide: Patients with Cardiovascular Disease are at Increased Risk During COVID-19

Sex and age specificities of the dynamics of anthropometric indicators characterizing obesity (according to a prospective epidemiological research)

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