Tatiana Andreeva |
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MD, PhD
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National University of Kyiv-Mohyla Academy
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School of Public Health
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17.49
Research experience
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Teaching: Epidemiology Public Health Health Promotion Research Methods
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May 2005–
presentTeaching: National University of Kyiv-Mohyla Academy
National University of Kyiv-Mohyla Academy · School of Public HealthUkraine · Kiev
Other
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LanguagesEnglish, Russian, Ukrainian
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Journal RefereesDigestive Diseases
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Other InterestsTobacco Control and Public Health in Eatern Europe at http://andreevin.narod.ru/journal
Questions and Answers (91) View all
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Answer added in Medical Writing13 Thorough review v/s Recent reviewBy Shweta Yadav · Kurukshetra UniversityTatiana Andreeva · National University of Kyiv-Mohyla AcademyLiterature review is an iterative process anyway. If you see that recent literature does not give enough information for your hypotheses and research ... [more]Literature review is an iterative process anyway. If you see that recent literature does not give enough information for your hypotheses and research questions, you'll probably start a wider search. A general overlook is always needed before you decide where you want to explore systematically.Following
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Answer added in Medical Writing13 Thorough review v/s Recent reviewBy Shweta Yadav · Kurukshetra UniversityTatiana Andreeva · National University of Kyiv-Mohyla AcademyThe answer to your questions definitely depends on the topic of the review. If it has been thoroughly explored recently, it's obviously needed to emph... [more]The answer to your questions definitely depends on the topic of the review. If it has been thoroughly explored recently, it's obviously needed to emphasize recent publications. However, if you restrict your search to the recently published research while the topic was most;y studied in earlier year, you may most possibly miss the crucial publications.Following
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Answer added in Natural Science1 What is the average number of research articles needed for someone in a university to be promoted from being a Ph.D. holder to be a full professor?By Ashraf Abadi · The German University in CairoTatiana Andreeva · National University of Kyiv-Mohyla AcademyThis definitely depends on the country and the universityThis definitely depends on the country and the universityFollowing
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Answer added in IRB4 Can anyone recommend good online training in research integrity topics?By Robin Schneider-Broussard · University of Louisiana at LafayetteFollowing
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Answer added in IRB4 Can anyone recommend good online training in research integrity topics?By Robin Schneider-Broussard · University of Louisiana at LafayetteTatiana Andreeva · National University of Kyiv-Mohyla AcademyI have just run into your question and answer because I was searching for online reading materials on research integrity for my students. Have you fou... [more]I have just run into your question and answer because I was searching for online reading materials on research integrity for my students. Have you found anything helpful since you have posted your question?Following
Publications (31) View all
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Article: Health behavior disparities: a universal trend or a peculiarity for the developed countries?
Tatiana Andreeva[show abstract] [hide abstract]
ABSTRACT: BACKGROUND. It is generally recognized that those poorer and less educated are more likely to have unhealthy behaviors. These disparities by socio-economic status (SES) are observed with regards to different behaviors known to influence health outcomes in terms of diseases and deaths. However, this consistent pattern was found in population-wide studies in developed countries, while in certain demographic groups it was not seen. So the objective was to check if the SES-behavior association pattern was present in available data collected in Ukraine. METHODS. For current study, all available datasets were considered if they included data on SES, education, and gender. Outcomes were measurements of health behaviors including use of psychoactive substances, food consumption, and physical activity. RESULTS. Prevalence of many health behaviors differs in men and women in Ukraine. More men than women use legal and illegal drugs. With regard to education and SES, Ukrainian data reveals either absence of association found in developed countries or its inverted pattern: till recently, women with university education were more likely to smoke than those less educated; teenagers from more affluent families use alcohol more likely than those from poorer ones. CONCLUSION. Inconsistency of SES-behavior association patterns in Ukraine with those seen in the West may be due to a different perception of health behaviors in people who grew up in the former Soviet Union. Behaviors pertinent to men were considered rather masculine and risky than those health-related. We theorize that the revealed absence of SES-behavior association may be because the behaviors are not perceived as those related to health which is an important resource for life. If a behavior is not known as a ‘health behavior’, the society is less likely to stratify with regard to its practicing. So, if the hypothesis is correct, there may be more disparities in younger cohorts than in older ones, which should be checked further. http://andreevin.narod.ru/journal/2011/02/86.pdfTobacco Control and Public Health in Eastern Europe. 01/2011; 1:86. -
SourceAvailable from: Tatiana Andreeva
Article: Factors associated with tuberculosis among injection drug users in Ukraine based on the results of 2004 behavioral survey
Olga Khryshchuk, Tatiana Andreeva[show abstract] [hide abstract]
ABSTRACT: BACKGROUND. Because of high prevalence rates of tuberculosis (TB) in Ukraine, it is especially important to identify risk factors related to this disease among high-risk groups, particularly among the injection drug users (IDUs). METHODS. The analysis was conducted based on the data of the cross-sectional survey held among the IDUs in 2004. The general sample included 3542 respondents. Hospitalization to the TB dispensary was considered as a dependent variable. For the bivariate analysis, Pearson’s χ-square test was used, after which independent variables associated with the outcome measure were included in the further analysis. Multivariate binary logistic regression analysis was used to explore associations. RESULTS. In the studied sample, 82 cases (2,3%) reported hospitalization to the TB dispensary. In the multivariate analysis, only three groups of variables had significant associations: TB among the acquaintances, positive HIV status, and risky behavior (including sharing syringes, purchasing drugs in syringes, as well as from dealers in preloaded syringes, using human blood without boiling it during the drugs preparing). After the stratification by HIV-status, it was found that among the HIV-negative respondents the presence of TB-patients among the acquaintances increased the odds of hospitalizing to the TB dispensary by 10 times, while for HIV-positive just by 5 times. CONCLUSIONS. Our analysis revealed that positive HIV status is the mediator between the risky behavior and acquiring tuberculosis. However, it is also educed that some variables which represent the risky behaviors remained significantly associated even in presence of the mediator in the model; hence, risk behavior can be considered an independent predictor for getting TB. Besides, getting TB was related to having TB-patients among the acquaintances: this was the main factor of getting TB for the HIV-negative respondents, while the HIV-status was essential for the HIV-positive ones. http://andreevin.narod.ru/journal/2011/02/85.pdfTobacco Control and Public Health in Eastern Europe. 01/2011; 1:85. -
SourceAvailable from: Tatiana Andreeva
Article: Evaluation of the tobacco epidemic and tobacco control measures at national and municipal levels
Tatiana Andreeva[show abstract] [hide abstract]
ABSTRACT: The lecture covers the issue of tobacco control measures effectiveness and evaluation of the tobacco epidemic in general. Indicators of five levels are suggested. 1. Input (resources), 2. Process (activities to transform resources into effective measures), 3. Output (products, policies, services and programs), 4. Outcome (prevalence, initiation and cessation of smoking), 5. Impact (diseases and deaths caused by tobacco use and tobacco smoke). Approaches to data collection to estimate the suggested groups of indicators are suggested. http://andreevin.narod.ru/journal/2011/01/01_01_11_ME.pdfTobacco Control and Public Health in Eastern Europe. 01/2011; 1:49-58. -
SourceAvailable from: Tatiana Andreeva
Article: Multisectoral studies in Public Health in Ukraine
Tatiana Andreeva[show abstract] [hide abstract]
ABSTRACT: The second issue of the TCPHEE contains materials presented at the conference ‘Economics, sociology, theory and practice of public health’ conducted in Kiev on April 12-15, 2011. Conference participants were the faculty, doctoral and master students of the School of Public Health (SPH) at the National University of Kyiv-Mohyla Academy (NaUKMA). Reports were first discussed during the conference and then submitted as conference abstracts for the editorial review. The revised versions were then peer-reviewed and were subject to editorial approval again. http://andreevin.narod.ru/journal/2011/02/75.pdfTobacco Control and Public Health in Eastern Europe. 01/2011; 1:75-76. -
SourceAvailable from: Tatiana Andreeva
Article: Possible causes of quitting smoking among women in Ukraine
Ksenia Bondarenko, Tatiana Andreeva[show abstract] [hide abstract]
ABSTRACT: BACKGROUND. According to the Global Adult Tobacco Survey completed in 2010 in Ukraine, 28,8% (about 11,5 million) of adults aged 15 years and older are current smokers. Among women, prevalence of current smoking is 11,2%, which is considerably less than among men (50%). The goal of the study was to reveal the determinants of quitting smoking among women. METHODS. The sample included 571 women, who were current or former daily smokers. Firstly, the bivariate analysis (cross-tabulation and chi-square test) was conducted. Then, the significant determinants from bivariate analysis were included to binary logistic regression. The women’s smoking status (current daily smokers vs. former daily smokers) was considered an outcome measure. Independent variables included education, age, occupation, income, religion, marital status, variation in prices for tobacco products, awareness of the negative consequences of smoking, permission to smoke at home, and whether the woman received an advice to quit smoking from a health worker. RESULTS. Bivariate analysis showed that there was statistically significant relationships with age, marital status, occupation, permission to smoke at home, having received information about the dangers of smoking from the radio, newspapers, and other sources. The multivariate analysis demonstrated that the unemployed women and women from households where smoking was banned were more likely to quit smoking. Unmarried women were less likely to quit smoking than married. CONCLUSIONS. Quitting smoking among women was associated with being married, unemployed, and living in a home where smoking is banned. Major limitations of the study are the small sample size and cross-sectional nature of the study; hence, the inerrant conclusions about cause-effect relationships are not possible. So, longitudinal study with larger sample could be a better future option. http://andreevin.narod.ru/journal/2011/02/91.pdfTobacco Control and Public Health in Eastern Europe. 01/2011; 1:91.