Older patients with low Charlson score and high-risk prostate cancer benefit from radical prostatectomy

INTRODUCTION The aim of the study was to identify the appropriate level of Charlson comorbidity index (CCI) in older patients (>70 years) with high-risk prostate cancer (PCa) to achieve survival benefit following radical prostatectomy (RP). METHODS We retrospectively analyzed 1008 older patients (>70 years) who underwent RP with pelvic lymph node dissection for high-risk prostate cancer (preoperative prostate-specific antigen >20 ng/mL or clinical stage ≥T2c or Gleason ≥8) from 14 tertiary institutions between 1988 and 2014. The study population was further grouped into CCI < 2 and ≥2 for analysis. Survival rate for each group was estimated with Kaplan-Meier method and competitive risk Fine-Gray regression to estimate the best explanatory multivariable model. Area under the curve (AUC) and Akaike information criterion were used to identify ideal 'Cut off' for CCI. RESULTS The clinical and cancer characteristics were similar between the two groups. Comparison of the survival analysis using the Kaplan-Meier curve between two groups for non-cancer death and survival estimations for 5 and 10 years shows significant worst outcomes for patients with CCI ≥ 2. In multivariate model to decide the appropriate CCI cut-off point, we found CCI 2 has better AUC and p value in log rank test. CONCLUSION Older patients with fewer comorbidities harboring high-risk PCa appears to benefit from RP. Sicker patients are more likely to die due to non-prostate cancer-related causes and are less likely to benefit from RP.

The Associations Between Social, Behavioral, and Health Risk Factors on a High School Student’s Decision to Pursue Post High School Plans

Background: Due to the relationship between SES and health, pursuing post high-school plans can lead to better future health outcomes for the student. The current paper assesses how behavioral and health risk factors, and family and social support, effect a student’s decision to pursue post high school plans. Methods: Data from the Youth Behavioral Component of the 2007 Connecticut School Health Survey were analyzed. Composite measures of exposure to/participation in violent behavior, mental and physical health, family/social support and substance abuse were created. The effects of these domains on the decision to pursue post high-school plans were assessed using logistic regression. Data were stratified by socioeconomic status. Results: Low SES students were more likely than high SES students to be doubtful for post high-school plans. Cocaine abuse emerged as the risk factor that put low SES students at the highest odds of not pursuing post high-school plans, followed by involvement in violent/aggressive behavior, and receiving less family/social support than their peers. Similar findings regarding violence and family/social support were found in the high SES group. Findings regarding substance abuse in the high SES group were not statistically significant. Discussion: Prevention programs regarding violence and substance abuse may have the added benefit of increasing the likelihood that high school students will make post high school plans. Preventing cocaine use among low SES students may be of particular importance. Violence prevention measures should be tailored to the target group. Adequate family/social support emerged as an encouraging factor for post high school plans.

Intervening to reach adolescents and affect health

Background. Assessing the health status of adolescents is challenging for health care providers. Personal disclosure has been associated with improved health outcomes. Story-centered care was examined as an intervention for promoting adolescent disclosure during an urgent care visit. ^ Objectives. This study explored: (1) the effectiveness of story-centered care for promoting adolescent disclosure; (2) health-associated words used by adolescents to describe pressing concerns after an urgent care visit when they had standard care (SC) or story-centered care (SCC) conducted by a Nurse Practitioner (NP). ^ Methods. Subjects were randomly assigned to SC or SCC. In SC, adolescent presenting concerns were identified and treated. In SCC, presenting concerns were treated and NP-adolescent dialogue, facilitated through a screening tool, queried matters of importance to adolescent life. After the visit, adolescents wrote about pressing concerns for 15 minutes. Written words were analyzed with Linguistic Inquiry and Word Count, a software program for analyzing narrative. Ratios were calculated for the number of words (adolescent: NP) used during the urgent care visit. Analysis of variance (ANOVA) was used to evaluate gender-intervention differences in health-associated words. ^ Results. One hundred and six adolescents [Hispanic (65%), White (35%)] completed the study. Fifty-five were female; the average age was 17 (sd = 2.1) years. ^ Adolescents in the story intervention used more words (adolescent: NP, 1:1.3) than those in standard intervention (adolescent: NP, 1:2.7) in proportion to the number of words used by the NP during the urgent care visit. There were gender-intervention differences (p < .01) in positive emotion words and past-tense words in writings about pressing concerns. Males who received the story intervention used more positive emotion and less past-tense words than adolescent males with standard care. Females used more social words (p < .01) in their writings regardless of intervention group. ^ Conclusion. SCC enhanced adolescent disclosure during an urgent care visit. Adolescents will talk to health care providers during episodic visits and males may benefit more than girls may from this approach. Evidence suggests there is value in attending to both presenting and pressing concerns of adolescents. ^

Prevalence of depressive symptoms among Hispanic women attending a public health clinic

Background. Estimates of perinatal depression have ranged from 5% to more than 25% of women (Gavin et al. 2005). Although Hispanics have one of the highest birthrates, few studies have looked at the prevalence of depression among this population. This study aims to describe the prevalence of depressive symptoms among a sample of Hispanic women. Methods. A convenience sample of 439 Hispanic women were screened for depression using the Center for Epidemiologic Studies Depression Scale. Sociodemographic data relating to pregnancy were also collected. Results. Although bivariate analysis found several variables to be significant, multivariate analysis found only marital and pregnancy status to be significant in predicting depression. Conclusions. While marital and pregnancy status proved to the strongest predictors for depression, future research would benefit from collecting information on timing of pregnancy and postpartum to further explore the role of pregnancy status and depressive symptoms. ^

Health education intervention to reduce risk of infectious disease transmission among community health workers and their clients

Indigent and congregate-living populations have high susceptibilities for disease and pose a higher risk for disease transmission to family, friends and to persons providing services to these populations. The adoption of basic infection control, personal hygiene, safe food handling and simple engineering practices will reduce the risk of infectious disease transmission to, from and among indigent and congregate-living populations. ^ The provision of social services, health promotion activities and other support services to indigent and congregate-living populations is an important aspect of many public health-related governmental, community-based and other medical care provider agencies. ^ In the interest of protecting the health of indigent and congregate-living populations, of personnel from organizations providing services to these populations and of the general community, an educational intervention is warranted to prevent the spread of blood-borne, air-borne, food-borne and close contact-borne infectious diseases. ^ An educational presentation was provided to staff from a community-based organization specializing in providing housing, health education, foodstuffs and meals and support services to disabled, low-income, homeless and HIV-infected individuals. The educational presentation delivered general best practices and standard guidelines. A pre and post test were administered to determine and measure knowledge pertinent to controlling the spread of infectious diseases between and among homeless shelter-living clients and between clients and the organization's staff. ^ Comparing pre-test and post-test results revealed areas of knowledge currently held by staff and other areas that staff would benefit from additional educational seminars and training. ^

Factors associated with smoking cessation using the 2005 National Health Interview Survey

Objectives. The objective of this study is to compare the socio-demographic, behavioral, and access to care characteristics of smokers who have quit smoking for one or more years and current smokers who have made an attempt to quit smoking within the last year. ^ Methods. Data from the 2005 National Health Interview Survey (NHIS) were used to compare current smokers who have tried to quit (n=2747) and former smokers who have quit for one or more years (n=6194). The data was analyzed using STATA 9.0 to perform statistical calculations. ^ Results. Age, education, race and income were associated with smoking status. Respondents aged 65 and older were 36 times more likely to have quit smoking. Education and income had higher odds ratios among quitters (OR=1.27 and OR=1.21) and Non-Hispanic Whites were the most likely to have quit smoking compared to Hispanics and Blacks. Adults with health insurance coverage were 3.44 times more likely to have quit smoking. ^ Discussion. Existing research suggests that individual factors relating to demographics behavior and access to care can impact a smoker's ability to quit smoking. This paper discusses the factors that affect cessation and which populations would benefit from additional research and targeted smoking cessation programs. ^

Improving the health and well-being of women at risk for neural tube defect recurrence

There is growing interest in providing women with internatal care, a package of healthcare and ancillary services that can improve their health during the period after the termination of one pregnancy but before the conception of the next pregnancy. Women who have had a pregnancy affected by a neural tube defect can especially benefit from internatal care because they are at increased risk for recurrence and improvements to their health during the inter-pregnancy period can prevent future negative birth outcomes. The dissertation provides three papers that inform the content of internatal care for women at risk for recurrence by examining descriptive epidemiology to develop an accurate risk profile of the population, assessing whether women at risk for recurrence would benefit from a psychosocial intervention, and determining how to improve health promotion efforts targeting folic acid use.^ Paper one identifies information relevant for developing risk profiles and conducting risk assessments. A number of investigations have found that the risk for neural tube defects differs between non-Hispanic Whites and Hispanics. To understand the risk difference, the descriptive epidemiology of spina bifida and anencephaly was examined for Hispanics and non-Hispanic Whites based on data from the Texas Birth Defects Registry for the years 1999 through 2004. Crude and adjusted birth prevalence ratios and corresponding 95% confidence intervals were calculated between descriptive epidemiologic characteristics and anencephaly and spina bifida for non-Hispanic Whites and for Hispanics. In both race/ethnic groups, anencephaly expressed an inverse relationship with maternal age and a positive linear relationship with parity. Both relationships were stronger in non-Hispanic Whites. Female infants had a higher risk for anencephaly in non-Hispanic Whites. Lower maternal education was associated with increased risk for spina bifida in Hispanics.^ Paper two assesses the need for a psychosocial intervention. For mothers who have children with spina bifida, the transition to motherhood can be stressful. This qualitative study explored the process of becoming a mother to a child with spina bifida focusing particularly on stress and coping in the immediate postnatal environment. Semi-structured interviews were conducted with six mothers who have children with spina bifida. Mothers were asked about their initial emotional and problem-based coping efforts, the quality and kind of support provided by health providers, and the characteristics of their meaning-based coping efforts; questions matched Transactional Model of Stress and Coping (TMSC) constructs. Analysis of the responses revealed a number of modifiable stress and coping transactions, the most salient being: health providers are in a position to address beliefs about self-causality and prevent mothers from experiencing the repercussions that stem from maintaining these beliefs. ^ Paper three identifies considerations when creating health promotion materials targeting folic acid use. A brochure was designed using concepts from the Precaution Adoption Process Model (PAPM). Three focus groups comprising 26 mothers of children with spina bifida evaluated the brochure. One focus group was conducted in Spanish-only, the other two focus groups were conducted in English and Spanish combined. Qualitative analysis of coded transcripts revealed that a brochure is a helpful adjunct. Questions about folic acid support the inclusion of an insert with basic information. There may be a need to develop different educational material for Hispanics so the importance of folic acid is provided in a situational context. Some participants blamed themselves for their pregnancy outcome which may affect their receptivity to messages in the brochure. The women's desire for photographs that affect their perception of threat and their identification with the second role model indicate they belong to PAPM Stage 2 and 3. Participants preferred colorful envelopes, high quality paper, intimidating photographs, simple words, conversational style sentences, and positive messages.^ These papers develop the content of risk assessment, psychosocial intervention, and health promotion components of internatal care as they apply to women at risk for recurrence. The findings provided evidence for considering parity and maternal age when assessing nutritional risk. The two dissimilarities between the two race/ethnic groups, infant sex and maternal education lent support to creating separate risk profiles. Interviews with mothers of children with spina bifida revealed the existence of unmet needs-suggesting that a psychosocial intervention provided as part of internatal care can strengthen and support women's well-being. Segmenting the audience according to race/ethnicity and PAPM stage can improve the relevance of print materials promoting folic acid use.^

Using small area estimation and geographic information systems technology to target health services for the uninsured

The three articles that comprise this dissertation describe how small area estimation and geographic information systems (GIS) technologies can be integrated to provide useful information about the number of uninsured and where they are located. Comprehensive data about the numbers and characteristics of the uninsured are typically only available from surveys. Utilization and administrative data are poor proxies from which to develop this information. Those who cannot access services are unlikely to be fully captured, either by health care provider utilization data or by state and local administrative data. In the absence of direct measures, a well-developed estimation of the local uninsured count or rate can prove valuable when assessing the unmet health service needs of this population. However, the fact that these are “estimates” increases the chances that results will be rejected or, at best, treated with suspicion. The visual impact and spatial analysis capabilities afforded by geographic information systems (GIS) technology can strengthen the likelihood of acceptance of area estimates by those most likely to benefit from the information, including health planners and policy makers. ^ The first article describes how uninsured estimates are currently being performed in the Houston metropolitan region. It details the synthetic model used to calculate numbers and percentages of uninsured, and how the resulting estimates are integrated into a GIS. The second article compares the estimation method of the first article with one currently used by the Texas State Data Center to estimate numbers of uninsured for all Texas counties. Estimates are developed for census tracts in Harris County, using both models with the same data sets. The results are statistically compared. The third article describes a new, revised synthetic method that is being tested to provide uninsured estimates at sub-county levels for eight counties in the Houston metropolitan area. It is being designed to replicate the same categorical results provided by a current U.S. Census Bureau estimation method. The estimates calculated by this revised model are compared to the most recent U.S. Census Bureau estimates, using the same areas and population categories. ^

A health disparities perspective on developing emerging infectious disease preparedness

A systematic review of the literature yielded 10 articles that explored the interaction between race/ethnicity, citizenship, socioeconomic status, and health literacy domains with respect to preparedness agenda development. Current emerging infectious disease (EID) preparedness plans do not adequately address the needs of vulnerable populations for the events before, during, and after an epidemic. Central to the disadvantage of most vulnerable populations are various health disparity domains that persist as barriers for individuals and communities alike to engage in preparedness efforts. Seven out of the ten articles discussed the importance of including health disparity domains in preparedness policy. Two proposed frameworks for an emerging infectious disease framework that considers health disparities are presented in this study. ^ Framework 1 is beneficial for the evaluation phase after a disaster has struck and preparedness efforts have been initiated. It considers several existing disparities and remediation strategies at the individual, community, and system levels to reach adequate restructuring of preparedness aims. Framework 2 serves as a "how to" carry out preparedness during a disaster event. It is a revision of a framework proposed by Blumenshine et al. (2008) and explores those characteristics central to pandemic preparedness plan development/deployment. Although two frameworks were devised, no one framework will adequately address the needs of vulnerable populations during an epidemic. However, the two frameworks propose to demonstrate the inclusion of important health disparity domains in preparedness plan development. ^ The National Consensus Panel for Emergency Preparedness and Cultural Diversity has released guidelines that are considered the leading strategies necessary to reorient preparedness infrastructure. In order for vulnerable populations to benefit from ample protection during a disaster, inclusion of health disparity domains in the development phases of preparedness must occur prior to full deployment in communities. Although "promising practices" and other methods at the frontier of exploring these multidimensional constraints has entered the research arena, new studies on adequate preparedness merit further investigation and support.^

Policy analysis of iron micronutrient programs at USAID: The FANTA program in East Africa and the micronutrient initiative in Bihar region of India, using comparative cost effective and cost benefit analysis

It is the aim of this paper to examine iron supplementation programs which receive funding from United States Agency for International Development (USAID) but approach combating iron deficiency anemia in two vastly different ways. A brief literature review and background information on iron deficiencies and the differences between supplementation programs and micronutrient fortification were reviewed. Two non-governmental organizations (NGO's) were examined for this paper: the Food and Nutrition Technical Assistance II (FANTA) and the MicroNutrient Initiative. The FANTA program included an educational component to their supplementation program while the MicroNutrient Initiative solely used supplementation of micronutrients to their population. Methods used were cost-benefit analysis and cost-effectiveness analysis to determine the overall effectiveness of each program in reducing iron deficiency anemia in each population, if the added costs of the incentives in the FANTA program changed the cost-effectiveness of the program compared to the MicroNutrient Initiative program and to determine which program imparted the greatest benefit to each population by reducing the disease burden in Disability Adjusted Life Years (DALY). Results showed that the unit cost of the FANTA program per person was higher than the MicroNutrient Initiative program due to the educational component. The FANTA program reduced iron deficiency anemia less overall but cost less for each percentage point of anemia decreased in their respective populations. The MicroNutrient Initiative program had a better benefit cost ratio for the populations it served. The MicroNutrient Initiative's large scale program imparted many advantages by reducing unit cost per person and decreasing iron deficiency anemia. The FANTA program was more effective at decreasing iron deficiency anemia with less money: $5,660 per 1% decrease in iron deficiency anemia versus $18,450 per 1% decrease in iron deficiency anemia for the MicroNutrient Initiative program. ^ In conclusion, economic analysis cannot measure all of the benefits associated with programs that contain an educational component or large scale supplementation. More information needs to be gathered by NGOs and reported to USAID, such as detailed prevalence rates of iron deficiency anemia among the populations served. Further research is needed to determine the effects an educational supplementation program has on compliance rates of participants and motivation to participate in supplementation programs whose aim is to decrease iron deficiency anemia in a targeted population.^

InGen of creative production in the health sciences: A workbook companion to innovation generation

InGen of Creative Production in the Health Sciences is a compendium of innovative thinking exercises for individuals and groups, derived from an eclectic array of practical guides for professionals in a variety of fields. Segmented into five subcategories across twenty two chapters, the effort seeks to make techniques for increasing innovative problem solving more accessible to a diverse audience of problem solvers. The chapters of Roberta Ness. Innovation Generation (2012, Oxford University Press) provide the themes for each of the chapters in the workbook. It is intended that those who read Ness. Innovation Generation will benefit from practicing the constructs of innovative thinking exemplified in each exercise.^ The methods used to gather data, in this case mostly innovative thinking exercises, included literature reviews of existing innovative thinking tools, classroom materials, and theory-driven exploration of exercises to fill in gaps in extant materials. Specifically, Google.com and Amazon.com searches were conducted using the terms “innovation,” “innovative,” “innovator,” “creative,” “novelty,” “thinking,” together with some variance of “book,” “workbook,” and “exercise.” The results were sorted thematically to show correspondence with the themes in Ness (2012) and compared to suggested best practices of 50 years of scientific research on innovative thinking. Where themes were suggested by Ness (2012) and peer-reviewed research on innovation but unavailable in published innovation thinking workbooks, new exercises were developed. The five type subcategories into which these results were organized are: individual direct, individual indirect, group direct, group indirect and probing question. It is anticipated that the five type subcategories and spectrum of themes will equip problem solvers in a variety of capacities.^

Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios

Natural regeneration-based silviculture has been increasingly regarded as a reliable option in sustainable forest management. However, successful natural regeneration is not always easy to achieve. Recently, new concerns have arisen because of changing future climate. To date, regeneration models have proved helpful in decision-making concerning natural regeneration. The implementation of such models into optimization routines is a promising approach in providing forest managers with accurate tools for forest planning. In the present study, we present a stochastic multistage regeneration model for Pinus pinea L. managed woodlands in Central Spain, where regeneration has been historically unsuccessful. The model is able to quantify recruitment under different silviculture alternatives and varying climatic scenarios, with further application to optimize management scheduling. The regeneration process in the species showed high between-year variation, with all subprocesses (seed production, dispersal, germination, predation, and seedling survival) having the potential to become bottlenecks. However, model simulations demonstrate that current intensive management is responsible for regeneration failure in the long term. Specifically, stand densities at rotation age are too low to guarantee adequate dispersal, the optimal density of seed-producing trees being around 150 stems·ha−1. In addition, rotation length needs to be extended up to 120 years to benefit from the higher seed production of older trees. Stochastic optimization confirms these results. Regeneration does not appear to worsen under climate change conditions; the species exhibiting resilience worthy of broader consideration in Mediterranean silviculture.

Modelling uncertainty of flood quantile estimation at ungauged sites by Bayesian networks

Prediction at ungauged sites is essential for water resources planning and management. Ungauged sites have no observations about the magnitude of floods, but some site and basin characteristics are known. Regression models relate physiographic and climatic basin characteristics to flood quantiles, which can be estimated from observed data at gauged sites. However, these models assume linear relationships between variables Prediction intervals are estimated by the variance of the residuals in the estimated model. Furthermore, the effect of the uncertainties in the explanatory variables on the dependent variable cannot be assessed. This paper presents a methodology to propagate the uncertainties that arise in the process of predicting flood quantiles at ungauged basins by a regression model. In addition, Bayesian networks were explored as a feasible tool for predicting flood quantiles at ungauged sites. Bayesian networks benefit from taking into account uncertainties thanks to their probabilistic nature. They are able to capture non-linear relationships between variables and they give a probability distribution of discharges as result. The methodology was applied to a case study in the Tagus basin in Spain.

Automatic physical activity pattern recognition and meal intake modelling in type 1 diabetes for their inclusion in artificial pancreas systems

La diabetes comprende un conjunto de enfermedades metabólicas que se caracterizan por concentraciones de glucosa en sangre anormalmente altas. En el caso de la diabetes tipo 1 (T1D, por sus siglas en inglés), esta situación es debida a una ausencia total de secreción endógena de insulina, lo que impide a la mayoría de tejidos usar la glucosa. En tales circunstancias, se hace necesario el suministro exógeno de insulina para preservar la vida del paciente; no obstante, siempre con la precaución de evitar caídas agudas de la glucemia por debajo de los niveles recomendados de seguridad. Además de la administración de insulina, las ingestas y la actividad física son factores fundamentales que influyen en la homeostasis de la glucosa. En consecuencia, una gestión apropiada de la T1D debería incorporar estos dos fenómenos fisiológicos, en base a una identificación y un modelado apropiado de los mismos y de sus sorrespondientes efectos en el balance glucosa-insulina. En particular, los sistemas de páncreas artificial –ideados para llevar a cabo un control automático de los niveles de glucemia del paciente– podrían beneficiarse de la integración de esta clase de información. La primera parte de esta tesis doctoral cubre la caracterización del efecto agudo de la actividad física en los perfiles de glucosa. Con este objetivo se ha llevado a cabo una revisión sistemática de la literatura y meta-análisis que determinen las respuestas ante varias modalidades de ejercicio para pacientes con T1D, abordando esta caracterización mediante unas magnitudes que cuantifican las tasas de cambio en la glucemia a lo largo del tiempo. Por otro lado, una identificación fiable de los periodos con actividad física es un requisito imprescindible para poder proveer de esa información a los sistemas de páncreas artificial en condiciones libres y ambulatorias. Por esta razón, la segunda parte de esta tesis está enfocada a la propuesta y evaluación de un sistema automático diseñado para reconocer periodos de actividad física, clasificando su nivel de intensidad (ligera, moderada o vigorosa); así como, en el caso de periodos vigorosos, identificando también la modalidad de ejercicio (aeróbica, mixta o de fuerza). En este sentido, ambos aspectos tienen una influencia específica en el mecanismo metabólico que suministra la energía para llevar a cabo el ejercicio y, por tanto, en las respuestas glucémicas en T1D. En este trabajo se aplican varias combinaciones de técnicas de aprendizaje máquina y reconocimiento de patrones sobre la fusión multimodal de señales de acelerometría y ritmo cardíaco, las cuales describen tanto aspectos mecánicos del movimiento como la respuesta fisiológica del sistema cardiovascular ante el ejercicio. Después del reconocimiento de patrones se incorpora también un módulo de filtrado temporal para sacar partido a la considerable coherencia temporal presente en los datos, una redundancia que se origina en el hecho de que en la práctica, las tendencias en cuanto a actividad física suelen mantenerse estables a lo largo de cierto tiempo, sin fluctuaciones rápidas y repetitivas. El tercer bloque de esta tesis doctoral aborda el tema de las ingestas en el ámbito de la T1D. En concreto, se propone una serie de modelos compartimentales y se evalúan éstos en función de su capacidad para describir matemáticamente el efecto remoto de las concetraciones plasmáticas de insulina exógena sobre las tasas de eleiminación de la glucosa atribuible a la ingesta; un aspecto hasta ahora no incorporado en los principales modelos de paciente para T1D existentes en la literatura. Los datos aquí utilizados se obtuvieron gracias a un experimento realizado por el Institute of Metabolic Science (Universidad de Cambridge, Reino Unido) con 16 pacientes jóvenes. En el experimento, de tipo ‘clamp’ con objetivo variable, se replicaron los perfiles individuales de glucosa, según lo observado durante una visita preliminar tras la ingesta de una cena con o bien alta carga glucémica, o bien baja. Los seis modelos mecanísticos evaluados constaban de: a) submodelos de doble compartimento para las masas de trazadores de glucosa, b) un submodelo de único compartimento para reflejar el efecto remoto de la insulina, c) dos tipos de activación de este mismo efecto remoto (bien lineal, bien con un punto de corte), y d) diversas condiciones iniciales. ABSTRACT Diabetes encompasses a series of metabolic diseases characterized by abnormally high blood glucose concentrations. In the case of type 1 diabetes (T1D), this situation is caused by a total absence of endogenous insulin secretion, which impedes the use of glucose by most tissues. In these circumstances, exogenous insulin supplies are necessary to maintain patient’s life; although caution is always needed to avoid acute decays in glycaemia below safe levels. In addition to insulin administrations, meal intakes and physical activity are fundamental factors influencing glucose homoeostasis. Consequently, a successful management of T1D should incorporate these two physiological phenomena, based on an appropriate identification and modelling of these events and their corresponding effect on the glucose-insulin balance. In particular, artificial pancreas systems –designed to perform an automated control of patient’s glycaemia levels– may benefit from the integration of this type of information. The first part of this PhD thesis covers the characterization of the acute effect of physical activity on glucose profiles. With this aim, a systematic review of literature and metaanalyses are conduced to determine responses to various exercise modalities in patients with T1D, assessed via rates-of-change magnitudes to quantify temporal variations in glycaemia. On the other hand, a reliable identification of physical activity periods is an essential prerequisite to feed artificial pancreas systems with information concerning exercise in ambulatory, free-living conditions. For this reason, the second part of this thesis focuses on the proposal and evaluation of an automatic system devised to recognize physical activity, classifying its intensity level (light, moderate or vigorous) and for vigorous periods, identifying also its exercise modality (aerobic, mixed or resistance); since both aspects have a distinctive influence on the predominant metabolic pathway involved in fuelling exercise, and therefore, in the glycaemic responses in T1D. Various combinations of machine learning and pattern recognition techniques are applied on the fusion of multi-modal signal sources, namely: accelerometry and heart rate measurements, which describe both mechanical aspects of movement and the physiological response of the cardiovascular system to exercise. An additional temporal filtering module is incorporated after recognition in order to exploit the considerable temporal coherence (i.e. redundancy) present in data, which stems from the fact that in practice, physical activity trends are often maintained stable along time, instead of fluctuating rapid and repeatedly. The third block of this PhD thesis addresses meal intakes in the context of T1D. In particular, a number of compartmental models are proposed and compared in terms of their ability to describe mathematically the remote effect of exogenous plasma insulin concentrations on the disposal rates of meal-attributable glucose, an aspect which had not yet been incorporated to the prevailing T1D patient models in literature. Data were acquired in an experiment conduced at the Institute of Metabolic Science (University of Cambridge, UK) on 16 young patients. A variable-target glucose clamp replicated their individual glucose profiles, observed during a preliminary visit after ingesting either a high glycaemic-load or a low glycaemic-load evening meal. The six mechanistic models under evaluation here comprised: a) two-compartmental submodels for glucose tracer masses, b) a single-compartmental submodel for insulin’s remote effect, c) two types of activations for this remote effect (either linear or with a ‘cut-off’ point), and d) diverse forms of initial conditions.