Reproduction and maternal health care among young women in Kenya: geographic and socio-economic determinants

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.

The impact of cardiac rehabilitation on lifestyles, psychological correlates and the clinical course of cardiac disease

Objectives: The aim of this research was to evaluate the impact of Cardiac Rehabilitation (CR) on risky lifestyles, quality of life, psychopathology, psychological distress and well-being, considering the potential moderating role of depression, anxiety and psychosomatic syndromes on lifestyles modification. The influence of CR on cardiac morbidity and mortality was also evaluated. Methods: The experimental group (N=108), undergoing CR, was compared to a control group (N=85) of patients affected by cardiovascular diseases, not undergoing CR, at baseline and at 1-month, 6- and 12-months follow-ups. The assessment included: the Structured Clinical Interview for DSM-IV, the structured interview based on Diagnostic Criteria for Psychosomatic Research (DCPR), GOSPEL questionnaire on lifestyles, Pittsburgh Sleep Quality Index, Morisky Medication Adherence Scale, MOS 36-Item Short Form Health Survey, Symptom Questionnaire, Psychological Well-Being Scale and 14-items Type D Scale. Results: Compared to the control group, CR was associated to: maintenance of the level of physical activity, improvement of correct dietary behaviors and stress management, enhancement of quality of life and sleep; reduction of the most frequently observed psychiatric diagnoses and psychosomatic syndromes at baseline. On the contrary, CR was not found to be associated with: healthy dietary habits, weight loss and improvement on medications adherence. In addition, there were no relevant effects on sub-clinical psychological distress and well-being, except for personal growth and purpose in life (PWB). Also, CR did not seem to play a protective role against cardiac recurrences. The presence of psychosomatic syndromes and depressive disorders was a mediating factor on the modification of specific lifestyles. Conclusions: The findings highlight the need of a psychosomatic assessment and an evaluation of psychological sub-clinical symptomatology in cardiac rehabilitation, in order to identify and address specific factors potentially associated with the clinical course of the heart disease.

Multilevel Analysis in Household Survey: An Application to Health Condition Data

The aim of this thesis is to apply multilevel regression model in context of household surveys. Hierarchical structure in this type of data is characterized by many small groups. In last years comparative and multilevel analysis in the field of perceived health have grown in size. The purpose of this thesis is to develop a multilevel analysis with three level of hierarchy for Physical Component Summary outcome to: evaluate magnitude of within and between variance at each level (individual, household and municipality); explore which covariates affect on perceived physical health at each level; compare model-based and design-based approach in order to establish informativeness of sampling design; estimate a quantile regression for hierarchical data. The target population are the Italian residents aged 18 years and older. Our study shows a high degree of homogeneity within level 1 units belonging from the same group, with an intraclass correlation of 27% in a level-2 null model. Almost all variance is explained by level 1 covariates. In fact, in our model the explanatory variables having more impact on the outcome are disability, unable to work, age and chronic diseases (18 pathologies). An additional analysis are performed by using novel procedure of analysis :"Linear Quantile Mixed Model", named "Multilevel Linear Quantile Regression", estimate. This give us the possibility to describe more generally the conditional distribution of the response through the estimation of its quantiles, while accounting for the dependence among the observations. This has represented a great advantage of our models with respect to classic multilevel regression. The median regression with random effects reveals to be more efficient than the mean regression in representation of the outcome central tendency. A more detailed analysis of the conditional distribution of the response on other quantiles highlighted a differential effect of some covariate along the distribution.