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1.
Front Public Health ; 12: 1364886, 2024.
Article in English | MEDLINE | ID: mdl-38741906

ABSTRACT

Background: The strain on workers of the healthcare system and education sector increased psychological distress and burnout. This study aimed to distinguish the occupational group that is the most affected by occupational burnout and to reveal the scope of psychosocial risk factors among each occupational group. Methods: This is a cross-sectional study that analyzed burnout syndrome among 1,046 participants of different occupational groups in association with psychosocial work environment factors in Lithuania. The anonymous questionnaire was composed of the standardized Job Content Questionnaire (JCQ), and the Copenhagen Burnout Inventory (CBI). To find out associations between psychosocial work environment factors and burnout dimensions, a multiple logistic regression model using the stepwise method was applied. Results: The burnout levels in all three dimensions (personal, work-related, and client-related burnout) were significantly higher in physicians' and nurses' groups compared with public health professionals, teachers, and managers (p < 0.05). The job demands were associated with the personal burnout subscale for all occupations, except public health specialists - each one-unit increase of this variable significantly increased the probability of personal burnout from 10 to 16%, respectively by the occupation. Co-worker support was found to have a buffering effect for all occupational groups, except managers - and significantly reduced personal burnout for physicians (OR = 0.80), nurses (OR = 0.75), public health specialists (OR = 0.75), and teachers (OR = 0.79). Conclusion: The burnout levels in all three dimensions differed between occupational groups: there were significantly higher in physicians' and nurses' groups compared with public health professionals, teachers, and managers. Considering the occupational preventive measures in the healthcare sector attention should be paid to the reduction of workload and ensuring good relations between co-workers.


Subject(s)
Burnout, Professional , Workplace , Humans , Lithuania/epidemiology , Cross-Sectional Studies , Male , Female , Adult , Burnout, Professional/psychology , Burnout, Professional/epidemiology , Surveys and Questionnaires , Middle Aged , Workplace/psychology , Risk Factors , Occupations/statistics & numerical data , Health Personnel/psychology , Health Personnel/statistics & numerical data
2.
Medicina (Kaunas) ; 55(7)2019 Jul 09.
Article in English | MEDLINE | ID: mdl-31324034

ABSTRACT

Background and Objective: There is a lack of reliable epidemiological data on the long-term survival after acute myocardial infarction (AMI) in the Lithuanian population. The aim of the study was to evaluate the long-term (36 months) survival after AMI among persons aged 25-64 years, who had experienced AMI in four time-periods 1996, 2003-2004, 2008, and 2012. Material and Methods: The source of the data was Kaunas population-based Ischemic heart disease (IHD) register. Long-term survival after AMI (36 months) was evaluated using the Kaplan-Meier method. The survival curves significantly differed when p < 0.05. Hazard ratio for all-cause mortality and their 95% CIs, adjusted for baseline characteristics, were estimated with the Cox proportional hazards regression model. Results: The analysis of data on 36 months long-term survival among Kaunas population by sex and age groups showed that the survival rates among men and women were 83.4% and 87.6%, respectively (p < 0.05) and among 25-54 years-old and 55-64 years-old persons, 89.2% and 81.7%, respectively (p < 0.05). The rates of long-term survival of post-AMI Kaunas population were better in past periods than in first period. According to the data of the Kaplan-Meier survival analysis, long-term survival of 25 to 64-year-old post-AMI Kaunas population was without significantly difference in 1996, 2003-2004, 2008 and 2012 (Log-rank = 6.736, p = 0.081). The adjusted risk of all-cause mortality during 36 months among men and 25 to 54-year-old patients was on the average by 35% and 60% lower in 2012 than in 1996, respectively. Conclusion: It was found that 36 months survival post MI among women and younger (25-54 years) persons was significant better compared to men and older (55-64 years) persons. Long-term survival among 55 to 64-year-old post-AMI Kaunas population had a tendency to decrease during last period, while among 25-54 years old persons long-term survival was without significant changes. The results highlight the fact that AMI survivors, especially in youngest age, remain a high-risk group and reinforce the importance of primary and secondary prevention for the improvement of long-term prognosis of AMI patients.


Subject(s)
Mortality/trends , Myocardial Infarction/mortality , Adult , Analysis of Variance , Female , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Myocardial Infarction/epidemiology , Population Surveillance/methods , Quality of Health Care/standards , Quality of Health Care/statistics & numerical data , Registries/statistics & numerical data , Survival Analysis
3.
Medicina (Kaunas) ; 50(3): 182-9, 2014.
Article in English | MEDLINE | ID: mdl-25323547

ABSTRACT

OBJECTIVE: The aim of this study was to assess the trends of myocardial infarction (MI) morbidity and evaluate the associations with some meteorological factors. MATERIALS AND METHODS: Data on MI morbidity were collected from Kaunas ischemic heart disease registry and information about meteorological factors from Kaunas meteorological station was collected. RESULTS: The overall morbidity rates of acute MI among men aged 25-64 increased by 2.0%/yr. (P=0.02), whereas among women did not change significantly (+1.2%/yr., P=0.2) during 1995-2007. Among men aged 65-84 the overall morbidity rates of MI were without significant changes (-1.0%/yr., P=0.3) and among women decreased significantly by -1.7%/yr. (P=0.03). During 1995-2000, a weak inverse significant correlation between atmospheric air temperature and morbidity of MI (r=-0.05, P=0.019) was documented (in women and the elderly r=-0.045 and -0.048, respectively, P<0.05). Weak correlation between atmospheric air wind speed and MI morbidity in women (r=-0.042, P=0.05) and in population of older age (r=-0.056, P=0.099) was determined. In men and in elderly population a direct weak correlation between atmospheric pressure and MI morbidity was found (r=0.114 and 0.166, respectively, P<0.01). In this study monthly and seasonal variation of MI rates were observed. In winter period MI rates were higher to compare with other seasons (χ(2)=18.682, df=3, P<0.0001). CONCLUSIONS: The overall morbidity rates of MI increased among Kaunas men aged 25-64 and tended to increase among women, whereas among men aged 65-84 MI morbidity trends were without statistically significant changes and significantly decreased among women during 1995-2007. Weak inverse correlations between atmospheric air temperatures, rainfall level and direct correlation between air wind speed, atmospheric pressure and MI morbidity were established. Months/seasonal variations during analyzed period were observed.


Subject(s)
Myocardial Infarction/epidemiology , Weather , Adult , Aged , Aged, 80 and over , Atmospheric Pressure , Female , Humans , Male , Middle Aged , Registries , Seasons
4.
Medicina (Kaunas) ; 45(4): 302-11, 2009.
Article in English, Lithuanian | MEDLINE | ID: mdl-19423961

ABSTRACT

OBJECTIVE: To evaluate nutritional habits of middle-aged schoolchildren living in a town and district of Lithuania. MATERIAL AND METHODS: The 8th-9th-grade schoolchildren were questioned by an anonymous questionnaire. A total of 329 students, 169 from Kaunas and 160 from Raseiniai district, participated in the study. RESULTS: Only half of students reported that they had breakfast (61.3% of schoolboys and 47.6% of schoolgirls). More students from the district had dinner in the school canteen as compared to Kaunas students. Only 14.0% of schoolchildren followed nutrition regimen (14.8% of students from Kaunas and 13.1% of students from Raseiniai always had their meal at the same time). Every second schoolboy and schoolgirl consumed vegetables and fruits every day. Whole grain bread was consumed every day similarly frequently by students from Kaunas and Raseiniai, 25.4% and 18.8%, respectively; the students from Kaunas consumed skim milk more frequently, 26.0% and 11.9%, respectively (P<0.05). Confectionery was consumed more frequently by schoolchildren from Kaunas as compared to schoolchildren from Raseiniai district (63.9% vs. 55.0%); however, it was consumed more frequently by boys than girls. Less than one-fourth of Kaunas students (20.7%) consumed potato chips every day, whereas the percentage of the students from Raseiniai district was only 10.0% (P<0.05). Pizzas, kebabs, and hamburgers were consumed more frequently by schoolboys than schoolgirls. Knowledge of healthy nutrition was obtained mainly from media by 48.6% of students; every eighth student got this information from parents, every tenth from physicians, and 7.0% from teachers. CONCLUSIONS: Middle-aged students from both Kaunas town and Raseiniai district did not follow nutrition regimen; half of them did not have their breakfast before going to school. Fruits and vegetables as recommended foods were consumed by half of the participants; every fourth student consumed skim milk, and every fifth student consumed whole grain bread. The students more frequently consumed such foods as confectionery and smoked meat, which are not recommended (every second student); every fourth had an intake of carbonated drinks (the students from Kaunas more frequently) and potato chips (the students from Kaunas more frequently), and every tenth consumed pizzas and fried potatoes. More than half of students obtained knowledge of healthy nutrition from media, and every tenth--from the physicians.


Subject(s)
Adolescent Nutritional Physiological Phenomena , Child Nutrition Sciences , Feeding Behavior , Nutrition Surveys , Adolescent , Age Factors , Chi-Square Distribution , Female , Humans , Lithuania , Male , Sex Factors , Surveys and Questionnaires
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