Anahit Demirchyan

Gender differences in predictors of self-rated health in Armenia: a population-based study of an economy in transition.

IntroductionSelf-rated health is a widely used health outcome measure that strongly correlates with physical and mental health status and predicts mortality. This study identified the set of predictors of fair/poor self-rated health in adult female and male populations of Armenia during a period of long-lasting socio-economic transition to a market economy.MethodsDifferences in self-rated health were analyzed along three dimensions: socioeconomic, behavioral/attitudinal, and psychosocial. The study utilized data from a 2006 nationwide household health survey that used a multi-stage probability proportional to size cluster sampling with a combination of interviewer-administered and self-administered surveys. Both female and male representatives of a household aged 18 and over completed the self-administered survey. Multivariate odds ratios (OR) for fair/poor self-rated health were calculated for different sets of variables and logistic regression models fitted separately for women and men to identify the determinants of fair/poor self-rated health.ResultsOverall, 2310 women and 462 men participated in the survey. The rate of fair/poor self-rated health was 61.8% among women and 59.7% among men. For women, the set of independent predictors of fair/poor self-rated health included age, unemployment, poverty, low affordability of healthcare, depression, and weak social support. For men, the set included age, lower education, depression, weak social support, and drinking alcohol less than once a week. For both genders, depression and weak social support demonstrated the strongest independent association with fair/poor self-rated health.ConclusionsThe prevalence of fair/poor self-rated health was similar among men and women in this study, but the sets of independent predictors of perceived health differed somewhat, possibly, reflecting lifestyle differences between men and women in Armenia. Nevertheless, psychosocial variables were the strongest predictors of fair/poor self-rated health for both genders, indicating the importance of improving the country’s psychosocial environment through social reforms and poverty reduction.

Psychometric value of the Center for Epidemiologic Studies Depression (CES-D) scale for screening of depressive symptoms in Armenian population

BACKGROUND This study examined the psychometric value of the Center for Epidemiologic Studies Depression Scale (CES-D) translated for use with an Armenian population. METHODS Using data obtained from a country-wide health survey of 2310 households involving female and male respondents aged 18 and over, we investigated the response pattern to the CES-D items, the factor structure, internal consistency, inter-item correlations of the total scale and its negatively and positively formulated subscales. We used logistic regression analysis to relate the constructs measured by the CES-D and its subscales to known determinants of depression. RESULTS Armenian respondents of both genders significantly suppressed their positive emotions, thus over-endorsing positively formulated (reverse-coded) items, therefore producing artificially high depression scores. Factor analysis of the scale yielded a three-factor structure (combined Depressed/Somatic, Positive Affect, and Interpersonal). The Positive Affect factor correlated weakly with the other two factors, and its inclusion reduced the internal consistency of the whole scale. Unlike the 16-item subscale of negatively formulated items, Positive Affect was not related to several known determinants of depression and did not reflect known depression-specific differences between genders. The set of determinants of Positive Affect included mainly lifestyle and attitudinal variables. LIMITATIONS This study did not assess the concurrent and discriminate validity of the Armenian CES-D. CONCLUSIONS For Armenians, the construct measured by the four Positive Affect items of CES-D is not related to depressive symptoms as measured by the other items. It introduces ethnical/cultural response bias in CES-D score and reduces the cross-cultural comparability of the latter.

Determinants of Morbidity and Intensive Care Unit Stay after Coronary Surgery

The study evaluated rates and determinants of hospital morbidity, serious morbid events, and prolonged intensive care unit stay associated with isolated coronary artery bypass. The medical records of 391 patients undergoing isolated coronary artery bypass at our center during 2003 were reviewed. The observed crude hospital mortality rate was 2.05%, similar to the EuroSCORE predicted mortality rate of 2.34%. Arrhythmia was the most frequent postoperative complication (17.6%). The serious hospital morbidity rate was 5.9%. The final logistic regression model of serious morbid events identified the following predictors: drug allergy, diabetes, and EuroSCORE. Prolonged intensive care unit stay (≥ 3 days) was observed in 9.5% of patients. Multivariable logistic regression analysis revealed age, preoperative rhythm disturbances, previous cardiac operation, and hypertension as independent predictors of prolonged intensive care unit stay. The rates of hospital mortality, morbidity, and prolonged intensive care unit stay were comparable to those of other major international cardiac surgery centers. These data can be used as a benchmark for further self- and peer-assessment quality improvement activities.

Factor Structure and Psychometric Properties of the Posttraumatic Stress Disorder (PTSD) Checklist and DSM-5 PTSD Symptom Set in a Long-Term Postearthquake Cohort in Armenia

Psychometric properties of the Armenian-language posttraumatic stress disorder (PTSD) Checklist–Civilian version (PCL-C) and the DSM-5 PTSD symptom set were examined in a long-term cohort of earthquake survivors. In 2012, 725 survivors completed the instruments. Item-/scale-level analysis and confirmatory factor analysis (CFA) were performed for both scales. In addition, exploratory factor analysis (EFA) was conducted for DSM-5 symptoms. Also, the differential internal versus external specificity of PTSD symptom clusters taken from the most supported PTSD structural models was examined. Both scales had Cronbach’s alpha greater than .9. CFA of PCL-C structure demonstrated an excellent fit by a four-factor (reexperiencing, avoidance, numbing, and hyperarousal) model known as numbing model; however, a superior fit was achieved by a five-factor model (Elhai et al.). EFA yielded a five-factor structure for DSM-5 symptoms with the aforementioned four domains plus a negative state domain. This model achieved an acceptable fit during CFA, whereas the DSM-5 criteria-based model did not. The Armenian-language PCL-C was recommended as a valid PTSD screening tool. The study findings provided support to the proposed new classification of common mental disorders, where PTSD, depression, and generalized anxiety are grouped together as a subclass of distress disorders. Recommendations were made to further improve the PTSD diagnostic criteria.

Patient satisfaction with primary care in Armenia: good rating of bad services?

The study assessed the level of patient satisfaction at selected primary health-care facilities in Lori and Shirak provinces of Armenia. Self-administered questionnaires were distributed to 684 recent clients at primary health-care facilities. The majority of patients were satisfied with their provider (mean satisfaction score of 1.75 out of maximum 2). Most patients (89.0%) would visit the same provider again, and would recommend the provider to friends (85.6%). Satisfaction with other aspects of care, including waiting time, accessibility of services, confidentiality and cleanliness of the facility, was also high (mean score of 1.70 out of 2). Seventy-eight percent of respondents considered the care they received to be ‘excellent’ or ‘good’. The less educated and those in rural areas were more likely to be satisfied with the providers quality. Despite the fundamental problems now challenging the Armenian primary health-care sector, patient satisfaction remains high. Given the high level of reported satisfaction, more focused satisfaction research tools and alternative approaches to patient assessments of care are needed to inform quality improvement in the Armenian setting.

Estimated prevalence and predictors of undernutrition among children aged 5-17 months in Yerevan, Armenia.

OBJECTIVE Child undernutrition is a serious public health problem in many low- and middle-income countries. Data on child undernutrition prevalence and its risk factors in Armenia are limited. The present study aimed to estimate the prevalence and explore the predictors of undernutrition among children aged 5-17 months in Yerevan. DESIGN The study was cross-sectional and employed a review of the ambulatory charts of children selected through a multistage cluster sampling. This phase was followed by a case-control study. The cases were undernourished children identified during the record review and randomly matched with normally growing controls of the same age and gender from the same pool of records. Mothers of cases and controls participated in a telephone interview. The study used conditional logistic regression analysis. SETTING Yerevan, Armenia. SUBJECTS Children aged 5-17 months residing in Yerevan, Armenia. RESULTS Review of 570 ambulatory charts suggested the prevalence of stunting, underweight and wasting among 5-17-month-old children in Yerevan to be 17·9 %, 7·3 % and 3·1 %, respectively. The case-control study of eighty-nine matched pairs identified four significant predictors of child undernutrition: familys socio-economic status score (P = 0·030), childs length at birth (P = 0·027), duration of predominant breast-feeding (P = 0·046) and food diversity score (P = 0·039). CONCLUSIONS The factors determining growth patterns of children in Yerevan are mostly behavioral and environmental, hence modifiable. Reducing poverty and inequalities in food availability, promoting breast-feeding and adequate complementary feeding, and ensuring optimal care before, during and after pregnancy are likely to help reduce child undernutrition in Yerevan, Armenia and societies with similar public health concerns.

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

BackgroundMultimorbidity, 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.MethodsThe 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.ResultsMore 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.ConclusionsMost 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.

Prevalence and determinants of anaemia among children aged 0-59 months in a rural region of Armenia: a case-control study.

OBJECTIVE Despite the trend of increasing prevalence of childhood anaemia in Armenia, no studies exploring its risk factors have been conducted in the country. The present study aimed to investigate the prevalence and determinants of childhood anaemia in rural Armenia. DESIGN Blood Hb level was measured among a representative sample of children using the HemoCue Hb201+ analyser. The revealed cases with anaemia were compared with randomly selected non-anaemic controls. Mothers of cases and controls were interviewed. Logistic and linear regression models were fitted to identify the risk factors of anaemia and low Hb level, respectively. SETTING Talin communities, Aragatsotn Province, Armenia. SUBJECTS Children under 5 years of age in Talin region. RESULTS Of the 729 studied children, 32·4% were anaemic with 14·7% having moderate/severe anaemia. Infants were the most affected group with 51·1% being anaemic before 6 months and 67·9% at 6-12 months of age. Fitted regression models identified the following predictors of anaemia: younger age, male gender, shorter birth length, anaemia during pregnancy, lower meal frequency per day, lack of meat in the diet, using dung cakes for heating and living in a community that received an incomplete set of nutrition interventions. CONCLUSIONS The study identified several modifiable risk factors that could be targeted to reduce childhood anaemia in rural Armenia and, possibly, in rural areas in other low-/middle-income countries. The suggested interventions include prevention and treatment of anaemia during pregnancy, provision of adequate complementary feeding to children with inclusion of meat in their daily diet and reduction of their exposure to biomass fuel smoke.

Prospective study of predictors of poor self-rated health in a 23-year cohort of earthquake survivors in Armenia

Long-term prospective studies exploring general health outcomes among disaster survivors are rare. Self-rated health (SRH) – a proven correlate of morbidity and mortality prognosis – was used to investigate predictors of perceived health status among a 23-year cohort of survivors of 1988 Spitak earthquake in Armenia. A geographically-stratified subsample of 725 adults from a larger initial cohort was followed during the period of 1990–2012. A logistic regression model identified predictors of SRH. Adjusted relative risks for the long-term predictors of SRH were calculated. The rate of poor SRH among the survivors was 18.8%, fair 56.5%, and good/excellent 24.7%. In the fitted model, long-term risk factors of poor SRH included baseline body mass index, baseline multi-morbidity, number of experienced stressful life events, and perceived poor living standards during the post-earthquake decade, while participation in sports in the early 1990s was a protective factor. Short-term protective factors included socio-economic status score, social support, employment and dignity, while current household size was a risk factor for poor SRH. No association was found between earthquake exposure severity and SRH after 23 years. However, the identified predictors included a number of modifiable lifestyle, material and psychological factors. Thus, interventions targeting these factors could have a long-lasting impact on disaster victims’ health status.

Diagnostic Accuracy and Operating Characteristics of the Posttraumatic Stress Disorder (PTSD) Checklist in the Postearthquake Population inArmenia

Diagnostic Accuracy and Operating Characteristics of the Posttraumatic Stress Disorder (PTSD) Checklist in the Postearthquake Population in Armenia The objective of this study was to determine the diagnostic accuracy and the operating characteristics of the Posttraumatic Stress Disorder Checklist Civilian (PCL-C) in the post-earthquake population of Armenia. A community sample of 126 participants witnessing the 1988 Spitak earthquake were administered the Armenian-language version PCL-C and the Structured Clinical Interview for DSM-IV disorders (SCID). Receiver operating characteristics curve (ROC) analysis was used to estimate the diagnostic accuracy of the instrument. PCL-C exhibited overall high diagnostic accuracy in the study population (area under the ROC curve was calculated as 0.903, SE=0.026). The cut score of 50 was identified as the most optimal and the most efficient based on the Youden index with equal values placed on sensitivity (0.94; 95% CI=0.80–0.99) and specificity (0.81; 95% CI=0.71–0.88), and a base rate of 26.2%. However, the higher cut score of 54 yielded the prevalence estimate equivalent to the base rate. The study results render the Armenian-language version PCL-C as an accurate and valid instrument to screen for PTSD symptoms in the post-earthquake population. This paper highlights the need for future investigators to study the PCL-C operating characteristics in broader population subgroups in Armenia.