VILNIAUS MIESTO GYVENTOJŲ SVEIKO GYVENIMO TRUKMĖ Tyrimo tikslas: Įvertinti Vilniaus miesto gyventojų sveiko gyvenimo trukmę 2006 metais. Tyrimo uždaviniai: 1. Sullivano metodu apskaičiuoti Vilniaus miesto gyventojų sveiko gyvenimo trukmę pagal amžių, lytį, remiantis išgyvenamumo (mirtingumo) lentelėmis ir subjektyviu savo sveikatos vertinimu. 2. Išanalizuoti gautus rezultatus pagal amžiaus grupes ir lytį. 3. Palyginti Vilniaus miesto gyventojų sveiko gyvenimo trukmę su Lietuvos gyventojų ir kitų šalių gyventojų sveiko gyvenimo trukme. 4. Palyginti Vilniaus miesto 65 metų ir vyresnių gyventojų sveiko gyvenimo trukmę su 2001 metų 65 metų ir vyresnių Vilniaus rajono gyventojų sveiko gyvenimo trukme. Tyrimo metodika ir apimtis: Vilniaus miesto gyventojų sveiko gyvenimo trukmė apskaičiuota Sullivan‘o metodu, apjungiančio sergamumo ir mirtingumo rodiklius į vieną rodiklį. Sveiko gyvenimo trukmės apskaičiavimui panaudotos 2006 metų Vilniaus miesto gyventojų išgyvenamumo (mirtingumo) lentelės. Duomenys apie subjektyvų sveikatos vertinimą gauti iš Lietuvos Statistikos departamento atlikto tyrimo. Rezultatai ir išvados. Nustatyta, kad 2006 metais Vilniaus miesto vyrų vidutinė gyvenimo trukmė 15-19 metų amžiaus grupėje – 52,46 metai, VSGT – 46,64 metai, VGT-VSGT – 5,82 metai, procentinis VSGT/VGT – 88,91. Atitinkamo amžiaus moterų: VGT – 63,51 metai, VSGT – 52,74 metai, VTGT-VSGT – 10,77 metai, procentinis VSGT/VGT santykis – 83,04. Moterų vidutinė gyvenimo trukmė visose amžiaus grupėse... [toliau žr. visą tekstą] / HEALTHY LIFE EXPECTANCY OF VILNIUS CITY POPULATION The aim of the study was to evaluate healthy life expectancy of Vilnius city population in 2006 years. The tasks of the study: 1. To calculate healthy life expectancy by age groups and sex of Vilnius city population according to Sullivan‘s method, using life tables and data of self-perceived health. 2. To analyze the final rezults by gender and age groups. 3. To compare healthy life expectancy of Vilnius city population with healthy life expectancy of Lithuanian population and other countries. 4. To compare healthy life expectancy of people aged 65 and more years of Vilnius city population in 2006 with healthy life expectancy of people aged 65 and more years of Vilnius area in 2001 years. The methods of study: Healthy life expectancy of Vilnius city were calculated by Sullivan method, which combines information on mortality and morbidity into one index. The data about Vilnius city population were availible from the Lithuania Department of Statistics, life tables for 2006 were created and life expectancy estimated. The data on self – perceived health of the Vilnius city population were acquired from the Lithuania Department of Statistics. The results and conclusions: According our data, 46,64 of the 52,46 years that male at age group 15 – 19 years may expect to live, on avarage, will be healthy in 2006 years. For female at the same age group 52,74 of 63,51 years may expect to live on avarage will be healthy. Life expectancy of... [to full text]

This thesis investigates gender differences in health and how they have changed between 1992 and 2002 among very old people. It explores gender differences in the association between disability and health, and gender differences in care utilization among our oldest old people. The studies are based on nationally representative data of the population in Sweden aged 77 and older (SWEOLD).  Results from Study I showed that women generally had more health problems than men. Analyses of change between 1992 and 2002 showed increased prevalence rates for both sexes, especially women. However, women’s reporting of poor global self-rated health did not increase. There were no gender differences and there was no change over time in activities of daily living (ADL). Several health indicators seem to be developing differently for women and men.  Study II showed that associations between ADL disability and other health indicators changed between 1992 and 2002, with several health problems and functional limitations becoming less disabling over time. This trend was especially true for women, while for men, the findings were mixed.  Study III found no gender differences in physician visits and dental visits, despite women’s worse health and dental status. Marriage was associated with more physician visits for men and dentist visits for women. Results imply that women and unmarried older adults may have unmet health-care needs.  Study IV examined whether the increase in life expectancy at age 65 observed between 1992 and 2002 consisted of years with or without musculoskeletal pain. Results showed that total years without pain decreased for both women and men, but more so for women. Women also had more years with pain added to life.  The results of this thesis suggest an increase of health problems, but not disability, in the oldest Swedish population. However, gender variations in the findings highlight the importance of analyzing health trends separately for women and men. / At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: In press. Paper 3: Manuscript. Paper 4: Submitted.

Regional Differences in Healthy Life Expectancy in Czechia Abstract Over the past decade, the health status of the population has also been measured by Healthy Life Expectancy indicator. This indicator covers not only the quantitative aspect, but it takes into the account also the qualitative aspect of prolonging human life. The main objective of this thesis is to evaluate the differences in healthy life expectancy among the regions of Czechia, both in terms of space and time (2009-2014). The introductory part of the thesis outlines the connections of the origin of the healthy life expectancy indicator and analyses the methods of its construction. The theoretical part of the thesis also includes description of sample surveys. To calculate healthy life years, the Sullivan method is used. Data on health status were obtained from the SILC survey. According to the results of the analysis, there is considerable variability between regions in terms of healthy life expectancy. The difference is significantly higher in terms of healthy life expectancy than in the case of life expectancy. A more detailed analysis of the distribution of the healthy life expectancy values has revealed that there is a certain "paradox" of healthy life expectancy in relation to life expectancy, since there are regions where the high...