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Vilniaus miesto gyventojų sveiko gyvenimo trukmė / Healthy life expectancy of vilnius populationPetrikaitė, Laima 25 November 2010 (has links)
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]
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Statistical inference for the median survival time with censored dataBrookmeyer, Ron. January 1980 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1980. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 96-98).
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The analysis of arbitrarily right-censored life data for 1, 2, and G groupsCarr, Daniel Bruce, January 1976 (has links)
Thesis--Wisconsin. / Vita. Includes bibliographical references (leaves 138-140).
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Investigating health determinants in OECD countries a random effects analysis /Adams, Jesse Daniel, Jackson, John D., January 2008 (has links)
Thesis--Auburn University, 2008. / Abstract. Vita. Includes bibliographical references (p. 60-75).
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Factors influencing the life expectancy of immigrants in Canada and AustraliaKliewer, Erich Victor 05 1900 (has links)
A conceptual model which relates demographic, social, and economic variables to immigrant life expectancy is developed. The model accounts for the impacts of stressors and coping mechanisms involved in the adaptation of immigrants to new environments. From the conceptual model a simplified linear model was derived. The model hypothesizes that the life expectancy change for immigrants is explained by altered living conditions ('Conditions'), the support structure of an immigrant group ('Support'), the brought and acquired skills of an immigrant group ('Skills'), and the length of residence in the destination ('Time'). The model was tested with Canadian data for 1941. Empirical indices of the dimensions Support, Skills, and Time were derived from the factor analysis of the characteristics of the immigrant groups. The model was also tested in part with Australian data for 1911-21 and 1921-33. Only the variable Conditions was included in the model since other data were not available. The parameters of the equations were obtained through regression techniques. Separate analyses were conducted for males and females. A comparison was also made of the life expectancies of immigrants in Canada with those of immigrants in Australia.
The variable Conditions contributed significantly in accounting for the life expectancy change for male and female immigrants in Australia and for male immigrants in Canada. For female immigrants in Canada Support was
the only variable to influence life expectancy change. Support also determined, though to a lesser degree than Conditions, life expectancy change for male immigrants in Canada.
The finding that the support structure influences life expectancy change, especially for females, has important policy implications. It points to the benefits of a policy of cultural pluralism as opposed to one of rapid assimilation.
The significant role of the destination conditions indicates that an extensive exploration of the differences in the environmental, technological, political, social, and cultural systems of the origin and destination countries has potential for defining specific factors contributing to disease prevalence and mortality. / Graduate and Postdoctoral Studies / Graduate
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An analysis of the expectations of health service workers towards clinical audit and its relationship to the accomplishment of audit and clinical behaviour changeThomas, Ann January 2001 (has links)
No description available.
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UTILIZING VROOM'S EXPECTANCY THEORY AS A PREDICTOR OF STUDENT ACADEMIC SUCCESS ON THE ILLINOIS NURSE ASSISTANT COMPETENCY EXAMINATIONWhittington, Kelli D. 01 August 2014 (has links)
AN ABSTRACT OF THE DISSERTATION OF Kelli D. Whittington, for the Doctor of Philosophy degree in Work Force Education, presented on June 23, 2014, at Southern Illinois University Carbondale. TITLE: UTILIZING THE EXPECTANCY THEORY AS A PREDICTOR OF STUDENT ACADEMIC SUCCESS ON THE ILLINOIS NURSE ASSISTANT COMPETENCY EXAMINATION MAJOR PROFESSOR: Dr. C. Keith Waugh This study researches the relationship between motivation and academic success as measured by the Valence, Instrumentality, Expectancy Scale. Utilizing Vroom's Expectancy Theory as the framework for study, the research assessed the responses of 375 nurse assistant students in the state of Illinois to evaluate the self-report of the constructs of Vroom's Expectancy Theory in relation to their performance on the Illinois Nurse Assistant Training Competency Examination.
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THE EFFECT OF ALCOHOL EXPECTANCIES ON POSTURAL SWAY IN COLLEGE STUDENTS DURING AN ALCOHOL ADVERTISEMENT PRIMEKAVANAGH, GREGORY J. 14 July 2006 (has links)
No description available.
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遅延条件下での対人記憶 : 記憶表象モデルからの概観野田, 理世, Noda, Masayo 27 December 2004 (has links)
国立情報学研究所で電子化したコンテンツを使用している。
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Factors affecting health care workers' acceptance and use of Telehealth in hospitals in Kwazulu-NatalPrinsloo, Celeste Jo-Ann January 2017 (has links)
Magister Public Health - MPH (Public Health) / Background and rationale: Telehealth is a collection of methods for enhancing health care,
public health, and health education delivery and support using telecommunications technologies.
Despite the many reported benefits of telehealth, there are challenges to its continued and
widespread use in South Africa. It remains unclear what facilitates or hinders the integration of
telehealth into routine clinical practice.
Study aim and objectives: Drawing on the Unified Theory of Acceptance and Use of
Technology (UTAUT), this study investigated factors affecting healthcare workers' acceptance
and use of telehealth in hospitals in KwaZulu-Natal (KZN). Specifically, it described the
frequency and nature of telehealth use and the factors associated with technology acceptance;
and evaluated the influence of socio-demographic factors (age, experience, profession,
qualification) and acceptance factors on use and behavioural intention to use telehealth.
Methods: A quantitative survey in seven hospitals (2 tertiary, 3 regional, 2 district) with
telehealth facilities falling under the KZN Department of Health, was conducted. 177 medical,
nursing, pharmacy and allied staff consented to complete an on-line, closed ended and structured
self-administered questionnaire based on the UTAUT model. The responses to the individual
likert scale items were assigned a score (1-4), and from this, total scores calculated for each
construct. Respondent characteristics were converted into binary variables and associations with
total scores on each of the UTAUT acceptance domains were tested using t-test. The associations
between behavioural intention and actual use (as binary dependent variables); and the respondent
profiles, scores for performance expectancy, effort expectancy, social influence, and facilitating
conditions (independent variables) were assessed in two multivariate logistic regression models.
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