Association Between Health Risk Knowledge and Risk Behavior Among Medical Students and Residents In Yerevan

Background. The relationship between risk knowledge, attitude, and behavior among different population groups is complex and has not been sufficiently explored. It was especially interesting to look at some aspects of this relationship among future health professionals (medical students and medical residents) assuming their detailed exposure to medical knowledge and health risks. The objectives of this study were to investigate the association between risk behavior and health risk knowledge/perception among medical students and residents in Yerevan, Armenia and examine the degree and direction of association between individual characteristics and risk behavior. Methods. A descriptive-analytical crosssectional survey design was used. Risk behavior and health risk knowledge/perception were assessed through an anonymous self-administrated questionnaire. Risk-taking behavior was measured as the number of all risk behaviors in a lifetime. Knowledge/perception was measured by the extent to which subjects agreed with risk-related statements. T-test, ANOVA, and linear regression modeling were used to analyze associations between total risk, health knowledge/perception, and individual characteristics. Results. Total risk was statistically significantly associated with age, gender, education, marital status, and having children; no association was found with birth order or attitude toward religion. Knowledge/perception about health risks was not associated with behaviors of interest after adjustment for potential “confounders.” There was a statistically significant interaction between marital status and knowledge/perception. Decrease in the number of reported risk behaviors with higher knowledge/perception score in this population was less among married participants than single participants. Conclusion. In this preliminary study, knowledge/perception of health risk did not appear to be a statistically significant predictor of risk behavior. Considering the limitations of this study, more research is needed to adequately assess the effect of knowledge and perception of health risk on risk behaviors of medical students and residents in Armenia

Identifying biomarkers of differential chemotherapy response in TNBC patient-derived xenografts with a CTD/WGCNA approach

Although systemic chemotherapy remains the standard of care for TNBC, even combination chemotherapy is often ineffective. The identification of biomarkers for differential chemotherapy response would allow for the selection of responsive patients, thus maximizing efficacy and minimizing toxicities. Here, we leverage TNBC PDXs to identify biomarkers of response. To demonstrate their ability to function as a preclinical cohort, PDXs were characterized using DNA sequencing, transcriptomics, and proteomics to show consistency with clinical samples. We then developed a network-based approach (CTD/WGCNA) to identify biomarkers of response to carboplatin (MSI1, TMSB15A, ARHGDIB, GGT1, SV2A, SEC14L2, SERPINI1, ADAMTS20, DGKQ) and docetaxel (c, MAGED4, CERS1, ST8SIA2, KIF24, PARPBP). CTD/WGCNA multigene biomarkers are predictive in PDX datasets (RNAseq and Affymetrix) for both taxane- (docetaxel or paclitaxel) and platinum-based (carboplatin or cisplatin) response, thereby demonstrating cross-expression platform and cross-drug class robustness. These biomarkers were also predictive in clinical datasets, thus demonstrating translational potential

Attitudes, practices and beliefs towards worksite smoking among administrators of private and public enterprises in Armenia

As one of the first studies to investigate smoking-related worksite practices, attitudes and beliefs in former Soviet countries, these findings provide insight into law enforcement processes for economies in transition. The study team conducted focus group discussions with worksite administrators to explore their beliefs, attitudes and practices related to worksite smoking. These findings guided development of a quantitative instrument to collect more representative data on the same issues. Research revealed widespread confusion between the concepts of worksite smoking restrictions and smoke-free workplaces. Public awareness campaigns that promote promulgation and enforcement of worksite smoking regulations could increase employee demand for smoke-free worksites

Short and long term determinants of incident multimorbidity in a cohort of 1988 earthquake survivors in Armenia

BACKGROUND: Multimorbidity, presence of two or more health conditions, is a widespread phenomenon affecting populations’ health all over the world. It becomes a serious public health concern due to its negative consequences on quality of life, mortality, and cost of healthcare services utilization. Studies exploring determinants of multimorbidity are limited, particularly those looking at vulnerable populations prospectively over time. This study aimed at identifying short and long term socioeconomic, psychosocial, and health behavioral determinants of incident multimorbidity among a cohort of the 1988 Armenian earthquake survivors. METHODS: The study included a representative subsample of 725 from a larger initial cohort of the earthquake survivors. Data on this subsample were collected via four phases of this cohort study during the period 1990–2012. The final logistic regression analysis eliminated all those cases with baseline multimorbidity to investigate short and long term determinants of incident multimorbidity; this subsample included 600 participants. RESULTS: More than 75% of the studied sample had multimorbidity. Perceived low affordability of healthcare services, poor living standards during the post-earthquake decade, and lower education were independent predictors of incident multimorbidity developed during the period 1990–2012. Stressful life events and poor social support were among psychosocial determinants of incident multimorbidity. Participants’ baseline BMI reported in 1990 was independently associated with incident multimorbidity. CONCLUSIONS: Most of the identified determinants of incident multimorbidity in our study population were markers of social inequities, indicating that inequities pose a serious threat to both individual and public health-related outcomes. Strategies targeting to decrease such inequities along with promotion of healthy lifestyle and strengthening of social networks may considerably reduce multimorbidity among population groups with similar socioeconomic and cultural profiles

Risk factors of postoperative complications after radical cystectomy with continent or conduit urinary diversion in Armenia

To estimate the surgical volume and the incidence of in-hospital complications of RC in Armenia from 2005 to 2012, and to investigate potential risk factors of complications. The study utilized a retrospective chart review in a cohort of patients who had RC followed by either continent or conduit urinary diversion in all hospitals of Armenia from 2005 to 2012. A detailed chart review was conducted abstracting information on baseline demographic and clinical characteristics, surgical procedural details, postoperative management and in-hospital complications. Multivariable logistic regression analysis was applied to estimate the independent risk factors for developing ‘any postoperative complication’. The total study sample included 273 patients (mean age = 58.5 years, 93.4 % men). Overall, 28.9 % (n = 79) of patients had at least one in-hospital complication. The hospital mortality rate was 4.8 % (n = 13). The most frequent types of complications were wound-related (10.3 %), gastrointestinal (9.2 %) and infectious (7.0 %). The ischemic heart disease (OR = 3.3, 95 % CI 1.5–7.4), perioperative transfusion (OR = 2.0, 1.1–3.6), glucose level [OR = 0.71 (0.63–0.95)], and hospital type (OR = 2.3, 95 % CI 1.1–4.7) were independent predictors of postoperative complications. The rate of RC complications in Armenia was similar to those observed in other countries. Future prospective studies should evaluate the effect of RC complications on long-term outcomes and costs in Armenia. Policy recommendations should address the issues regarding surgeon training and hospital volume to decrease the risk of RC complications

CTD: An information-theoretic algorithm to interpret sets of metabolomic and transcriptomic perturbations in the context of graphical models

We consider the following general family of algorithmic problems that arises in transcriptomics, metabolomics and other fields: given a weighted graph G and a subset of its nodes S, find subsets of S that show significant connectedness within G. A specific solution to this problem may be defined by devising a scoring function, the Maximum Clique problem being a classic example, where S includes all nodes in G and where the score is defined by the size of the largest subset of S fully connected within G. Major practical obstacles for the plethora of algorithms addressing this type of problem include computational efficiency and, particularly for more complex scores which take edge weights into account, the computational cost of permutation testing, a statistical procedure required to obtain a bound on the p-value for a connectedness score. To address these problems, we developed CTD, "Connect the Dots", a fast algorithm based on data compression that detects highly connected subsets within S. CTD provides information-theoretic upper bounds on p-values when S contains a small fraction of nodes in G without requiring computationally costly permutation testing. We apply the CTD algorithm to interpret multi-metabolite perturbations due to inborn errors of metabolism and multi-transcript perturbations associated with breast cancer in the context of disease-specific Gaussian Markov Random Field networks learned directly from respective molecular profiling data