2 resultados para Submaximal and maximal variables

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Preface: The improvements of the social-environmental conditions, and medical cares and the quality of life caused a general improvement of the health status of the population, with a consequent reduction of the overall morbidity and mortality, resulting in an increase of life expectancy that has rose dramatically in the last century. Stroke represents the 3rd cause of death and 1st cause of disability in Europe and in Italy. Aim: The aim of this research is to explore the prevalence of stroke in 1.176 90+ Italian sibs, collected from the north, centre and south of the peninsula, and examine the presence of functional and cognitive disability in the stroke affected sibs. Materials and Methods: We divided our sample in three main categories a)Stroke free(960 subjects, 88.72%), b)Young age stroke, reported age of Stroke incidence < 85 y.o.(42 subjects, 3.88%), c)Old age stroke, reported age of Stroke incidence ≥ 85y.o.(80 subjects, 7.39%). We examine cognitive impairment using the MMSE and functional disability using the ADL scale, the chair stand and hand-grip test. The three groups for each test have been analysed according the following parameters: age at interview, sex, ability to understand the questions, can the participant walk 500 m without help, smoke habit, alcohol daily consumption, presence of serious memory impairments (e.g. dementia), Daily Exercise or daily light housework, History of arthritis. Results: After performing mulrivariate analysis, amazingly the young ictus group had worst performance in all the cognitive and functional variables.

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Many factors influence the propensity of young women to seek appropriate maternal healthcare, and they need to be considered when analyzing these women’s reproductive behavior. This study aimed to contribute to the analysis concerning Kenyan young women’s determinants on maternal healthcare-seeking behavior for the 5 years preceding the 2008/9 Kenya Demographic and Health Survey. The specific objectives were to: investigate the individual and contextual variables that may explain maternal healthcare habits; measure the individual, household and community effect on maternal healthcare attitudes in young women; assess the link between young women’s characteristics and the use of facilities for maternal healthcare; find a relationship between young women’s behavior and the community where they live; examine how the role of the local presence of healthcare facilities influences reproductive behavior, and if the specificity of services offered by healthcare facilities affects their inclination to use healthcare facilities, and measure the geographic differences that influence the propensity to seek appropriate maternal healthcare. The analysis of factors associated with maternal healthcare-seeking behavior for young women in Kenya was investigated using multilevel models. We performed three major analyses, which concerned the individual and contextual determinants influencing antenatal care (discussed in Part 6), delivery care (Part 7), and postnatal care (Part 8). Our results show that there is a significant variation in antenatal, delivery and postnatal care between communities, even if the majority of variability is explained by individual characteristics. There are differences at the women’s level on the probability of receiving antenatal care and delivering in a healthcare facility instead of at home. Moreover, community factors and availability of healthcare facilities on the territory are also crucial in influencing young women’s behavior. Therefore, policies addressed to youth’s reproductive health should also consider geographic inequalities and different types of barriers in access to healthcare facilities.