The relationship between changes in cardiovascular function and changes in VO2peak following SIT

Background: It is well known that sprint interval training (SIT), induces significant increases in peak oxygen uptake (VO2peak) at the group level. However, there have been only a few studies that have addressed the variability of VO2peak response following SIT, and precise mechanism(s) that may explain individual magnitude of response are unknown. Purpose: Therefore, the purpose of this thesis was to: 1) examine the inter-individual variability of the VO2peak response following SIT, 2) to inspect the relationship between changes in both central and peripheral measures and changes in VO2peak, and 3) to assess if peripheral or central adaptations play a role in whether an individual is a high or low responder with respect to VO2peak. Subjects: Twenty-two young, recreationally active males (age: 20.4 1.7 years; weight: 78.4 10.2 kg; VO2peak: 3.7 0.62 L/min) Methods: VO2peak (L/min), peak cardiac output (Qpeak [L/min]), and peak deoxygenated hemoglobin (HHbpeak [mM]) were measured before and after 16 sessions of SIT (Tabata Protocol) over four weeks. Peak a-vO2diff was calculated using a derivation of the Fick equation. Results: Due to a systematic error, HHbpeak could not be used to differentiate between individual responses. There was a large range of VO2peak response from pre to post testing (-4.75 to 32.18% change) and there was a significant difference between the Low Response Group (LRG) (n=8) and the High Response Group (HRG) (n=8) [f(1, 14)= 64.27, p<0.001]. Furthermore, there was no correlation between delta () VO2peak and Qpeak (r=-0.18, p=0.46) for all participants, nor was there an interaction effect between the Low and High Response Groups [f(1,11)=0.572, p=0.47]. Lastly, there was a significant correlation between VO2peak and peak a-vO2diff [r=0.692, p<0.001], and a significant interaction effect with peak a-vO2diff [f(1, 14)= 13.27, p<0.004] when comparing the HRG to the LRG. Conclusions: There was inter-individual variability of VO2peak response following 4 weeks of SIT, but central adaptations did not influence this variation. This suggests that peripheral adaptations may be responsible for VO2peak adaptation.

Metabolomic profiling to dissect the role of visceral fat in cardiometabolic health

OBJECTIVE: Abdominal obesity is associated with increased risk of type 2 diabetes (T2D) and cardiovascular disease. The aim of this study was to assess whether metabolomic markers of T2D and blood pressure (BP) act on these traits via visceral fat (VF) mass.

METHODS: Metabolomic profiling of 280 fasting plasma metabolites was conducted on 2,401 women from TwinsUK. The overlap was assessed between published metabolites associated with T2D, insulin resistance, or BP and those that were identified to be associated with VF (after adjustment for covariates) measured by dual-energy X-ray absorptiometry.

RESULTS: In addition to glucose, six metabolites were strongly associated with both VF mass and T2D: lactate and branched-chain amino acids, all of them related to metabolism and the tricarboxylic acid cycle; on average, 38.5% of their association with insulin resistance was mediated by their association with VF mass. Five metabolites were associated with BP and VF mass including the inflammation-associated peptide HWESASXX, the steroid hormone androstenedione, lactate, and palmitate. On average, 29% of their effect on BP was mediated by their association with VF mass.

CONCLUSIONS: Little overlap was found between the metabolites associated with BP and those associated with insulin resistance via VF mass.

Alcoholic Beverage Preference and Dietary Habits in Elderly across Europe: Analyses within the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) Project

INTRODUCTION: The differential associations of beer, wine, and spirit consumption on cardiovascular risk found in observational studies may be confounded by diet. We described and compared dietary intake and diet quality according to alcoholic beverage preference in European elderly.

METHODS: From the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES), seven European cohorts were included, i.e. four sub-cohorts from EPIC-Elderly, the SENECA Study, the Zutphen Elderly Study, and the Rotterdam Study. Harmonized data of 29,423 elderly participants from 14 European countries were analyzed. Baseline data on consumption of beer, wine, and spirits, and dietary intake were collected with questionnaires. Diet quality was assessed using the Healthy Diet Indicator (HDI). Intakes and scores across categories of alcoholic beverage preference (beer, wine, spirit, no preference, non-consumers) were adjusted for age, sex, socio-economic status, self-reported prevalent diseases, and lifestyle factors. Cohort-specific mean intakes and scores were calculated as well as weighted means combining all cohorts.

RESULTS: In 5 of 7 cohorts, persons with a wine preference formed the largest group. After multivariate adjustment, persons with a wine preference tended to have a higher HDI score and intake of healthy foods in most cohorts, but differences were small. The weighted estimates of all cohorts combined revealed that non-consumers had the highest fruit and vegetable intake, followed by wine consumers. Non-consumers and persons with no specific preference had a higher HDI score, spirit consumers the lowest. However, overall diet quality as measured by HDI did not differ greatly across alcoholic beverage preference categories.

DISCUSSION: This study using harmonized data from ~30,000 elderly from 14 European countries showed that, after multivariate adjustment, dietary habits and diet quality did not differ greatly according to alcoholic beverage preference.

“There’s a Catch-22”. The complexities of pain management for people with advanced dementia nearing the end of life: a qualitative exploration of physicians’ perspectives

Background: Pain management is a cornerstone of palliative care. The clinical issues encountered by physicians when managing pain in patients dying with advanced dementia, and how these may impact on prescribing and treatment, are unknown. Aim: To explore physicians’ experiences of pain management for patients nearing the end of life, the impact of these on prescribing and treatment approaches, and the methods employed to overcome these challenges. Design: Qualitative, semi-structured interview study exploring: barriers to and facilitators of pain management, prescribing and treatment decisions, and training needs. Thematic analysis was used to elicit key themes. Settings/Participants: Twenty-three physicians, responsible for treating patients with advanced dementia approaching the end of life, were recruited from primary care (n=9), psychiatry (n=7) and hospice care (n=7). Results: Six themes emerged: diagnosing pain, complex prescribing and treatment approaches, side-effects and adverse events, route of administration, importance of sharing knowledge and training needs. Knowledge exchange was often practised through liaison with physicians from other specialties. Cross-specialty mentoring, and the creation of knowledge networks were believed to improve pain management in this patient population. Conclusions: Pain management in end-stage dementia is complex, requiring cross-population of knowledge between palliative care specialists and non-specialists, in addition to collateral information provided by other health professionals and patients’ families. Regular, cost- and time-effective mentoring and ongoing professional development are perceived to be essential in empowering physicians to meet clinical challenges in this area.

BAP Guidelines on the Management of Weight Gain, Metabolic Disturbances and Cardiovascular Risk Associated With Psychosis and Antipsychotic Drug Treatment

Excess deaths from cardiovascular disease are a major contributor to the significant reduction in life expectancy experienced by people with schizophrenia. Important risk factors in this are smoking, alcohol misuse, excessive weight gain and diabetes. Weight gain also reinforces service users’ negative views of themselves and is a factor in poor adherence with treatment. Monitoring of relevant physical health risk factors is frequently inadequate, as is provision of interventions to modify these. These guidelines review issues surrounding monitoring of physical health risk factors and make recommendations about an appropriate approach. Overweight and obesity, partly driven by antipsychotic drug treatment, are important factors contributing to the development of diabetes and cardiovascular disease in people with schizophrenia. There have been clinical trials of many interventions for people experiencing weight gain when taking antipsychotic medications but there is a lack of clear consensus regarding which may be appropriate in usual clinical practice. These guidelines review these trials and make recommendations regarding appropriate interventions. Interventions for smoking and alcohol misuse are reviewed, but more briefly as these are similar to those recommended for the general population. The management of impaired fasting glycaemia and impaired glucose tolerance (‘pre-diabetes’), diabetes and other cardiovascular risks, such as dyslipidaemia, are also reviewed with respect to other currently available guidelines. These guidelines were compiled following a consensus meeting of experts involved in various aspects of these problems. They reviewed key areas of evidence and their clinical implications. Wider issues relating to primary care/secondary care interfaces are discussed but cannot be resolved within guidelines such as these.

The Cardiovascular Pathology of Stimulant Overdose Decedents in King County, Washington

Thesis (Master's)--University of Washington, 2016-09

The use of motivational interviews by nurses to promote health behaviors in adolescents: a scoping review protocol

Adolescents - defined as young people between 10 and 19 years of age1 - are, in general, a relatively healthy segment of the population.2 However, the developmental changes that take place during adolescence may affect their subsequent risk for diseases and for a variety of health-related behaviors. In fact, early onset of preventable health problems (e.g. obesity, malnutrition, STDs) and the engagement in health risk behaviors (e.g., sedentary life style, excessive alcohol consumption, unprotected sex) during adolescence, are likely to put them at greater risk for physical and mental health problems at a later stage in life. Moreover, health related problems and health risk behaviors may disrupt adolescents' physical and cognitive development and therefore may affect their ability to think and act in relation to decisions about their health in the future.1 In summary, health-related behaviors in adolescence, apart from their influence on the continuum of "health-disease", they also have the potential to influence future behaviors. In fact, several studies have shown that past behaviors are good predictors of future behaviors .3,4 Thus, promoting healthy practices during adolescence and taking measures to better protect young people from health risks are essential for the prevention of health problems in adulthood.5 According to the World Health Organization, the main problems affecting young people include mental health problems (such as behavioral disorders, eating disorders, suicide, anxiety or depression), the use of substances (illegal substances, alcohol and tobacco), interpersonal violence, nutrition (a proper nutrition consists of healthy eating habits and physical exercise), unintentional injuries (which are a leading cause of death and disability among young people, with road traffic injuries accounting for about 700 deaths per day), sexual and reproductive health (for example, risky sexual behaviors, early pregnancy and childbirth) and HIV (resulting from sexual transmission and drug injection).5,6 On the other hand, the number of children and youth with chronic health conditions has increased dramatically in the past four decades7 as larger numbers of chronically ill children survive beyond the age of 10.8 Despite the lack of data on adolescents' health making it difficult to determine the prevalence of chronic illnesses in this age group9, it is known that one in ten adolescents suffers from a chronic condition worldwide.10 In fact, national population based studies from Western countries show that 20-30% of teenagers have a chronic illness, defined as one that lasts longer than six months.8 The most prevalent chronic illness among adolescents is asthma and the one with the highest incidence is diabetes mellitus, particularly type II.9 Traditionally, healthcare professionals have been mainly investing in health education activities, through the transmission of knowledge with a view to creating habits, customs and behaviors, and promoting healthy lifestyles. However, empowering people does not only consist of giving them the right information11 , i.e. good information is not enough to cause people to make changes.12 The motivation or desire to change unhealthy behaviors and habits depends on many factors, namely intrinsic motivation, control over personal decisions, self-confidence and perception of effectiveness, personal ambivalence, and individualized assistance.12 Many professionals assume that supplying knowledge is sufficient for behavioral changes; however, even very good advice often fails to generate behavioral change. After all, people continue to engage in unhealthy behaviors despite clearly knowing what they should do and how to change. "What is lacking is the motivation to apply that knowledge".13, p.1233 In fact, behavioral change is a complex phenomenon with multiple determinants that also includes motivational variables. It is associated with ambivalent processes expressed in the dilemma between keeping the current status and moving on to new ways of acting. For example, telling adolescents that if they keep on engaging in a certain behavior, they are increasing the risk of developing a long-term condition such as cardiovascular disease, stroke or diabetes is rarely enough to trigger the desired behavioral change; people are more likely to change when they believe that the change is really effective and that they are able to implement it.12 Therefore, it is essential to provide specific training for "healthcare professionals to master motivational techniques, avoid confrontation with the users, and facilitate behavioral changes".14 In this context, motivating patients to make behavioral changes is also an important nursing task where change in lifestyle is a major element of patients' treatment and preventive interventions.15 One of the nurse's goals is to help improve a patient's health or help them to manage existing health conditions. Once nurses are in a position where they have to focus on accomplishing tasks and telling patients what needs to be accomplished16, the role of the nurse is expanding even more into the use of motivational strategies.17 MI is bringing nurses back to therapeutic communication and moving them closer to successful health promotion and disease management, by promoting behavior change and empowering their patients. As the nursing profession evolves, MI is seen as a challenge and the basis of nurse's interactions with individuals, families and communities.16, 17 In the same way, MI may be taken as an essential tool in the provision of nursing care to adolescents, being itself a workspace with possible therapeutic effects regarding problems, clarification of doubts, and development of skills.18 In fact, MI may be particularly applicable in work with adolescents because of their specific developmental stage. Adolescents attempt to establish their own autonomy and identity while struggling with social interactions and moral issues, which leads to ambivalence.19 Consistent with the developmental challenges during adolescence, "MI explicitly honors autonomy, people's right and irrevocable ability to decide about their own behavior"20 while allowing the person to explore possibilities for change of risky or maladaptive behaviours.19 MI can be defined as a directive, client-centred counselling style for eliciting behavior change by helping clients to explore and resolve ambivalence. It is most centrally defined not by technique but by its spirit as a facilitative style of interpersonal relationship.21 It is a set of strategies and techniques widely used in clinical practice based on the transtheoretical model of change. The Stages of Change model describes five stages of readiness—precontemplation, contemplation, preparation, action, and maintenance—and provides a framework for understanding behavior change.22 The MI has been widely tested and applied in different areas, such as modification of addictive behaviors, interventions with offenders in the context of justice, eating disorders, promotion of therapeutic adherence among chronic patients, promotion of learning in school settings or intervention with adolescents at risk.18,23 In general, clinical practice has been adopting the perspective of motivation as something relatively immutable, i.e., the adolescent is either motivated for change/treatment and, in these conditions, the professional's role is to help him/her, or the adolescent is not motivated and then change/treatment is not feasible. Alternatively the theoretical model underlying the MI technique postulates that the individual's adherence to change/treatment depends on his/her motivation, which can change throughout the therapeutic intervention. As several studies found positive results for effects of MI24-26 and its use by health professionals is encouraged23,27 nurses may play an important role in patients' process of change. As nurses have a crucial role in clinical contexts, they can facilitate the process of ending risk behaviors and/or adopting positive health behaviors through some motivational techniques, namely with adolescents. A considerable number of systematic reviews about MI already exist pointing to some benefits of its use in the treatment of a broad range of behavioral problems and diseases.13,28,29 Some of the current reviews focus on examining the effectiveness of MI for adolescents with diverse health risks/problems 30-32. However, to date there are no reviews that present and assess the evidence for the use of nurse-led MI in adolescents. Therefore, we have little knowledge of what works for whom (which adolescent subpopulation) under what circumstances (in which setting, for what problem) in relation to motivational interviewing by nurses. There is a clear need for scoping or mapping the use of MI by nurses with adolescents to identify evidence gaps and to inform opportunities for future development in nursing practice. On the other hand, information regarding nurse-led implemented and evaluated interventions, techniques and/or strategies used, contexts of application and adolescents subpopulation groups is dispersed in the literature33-36 which impedes the formulation of precise questions about the effectiveness of those interventions conducted by nurses and therefore the realization of a systematic review. In other words, it is known that different kind of motivational interventions have been implemented in different contexts by nurses, however does not exist a map about all the motivational techniques and/or strategies used. Furthermore the literature does not clarify which is the role of nurses at cross professional motivational intervention implemented programs and finally the outcomes and evaluation of interventions are unclear. Thus, the practical implication of this mapping will be clarifying all these aspects. Without this clarification is not possible to proceed to the realization of a systematic review about the effectiveness of the use of motivational interviews by nurses to promote health behaviors in adolescents, in a particular context and/or health risk behavior; or regarding the effectiveness of certain technique and/or strategy of MI. Consequently, there are important questions about the nature of the evidence in this area that need to be answered before formulating a precise question of effectiveness. This scoping review aims to respond to these questions. An initial search of the JBI Database of Systematic Reviews & Implementation Reports, Cochrane Database of Systematic Reviews, , Database of promoting health effectiveness reviews (DoPHER), The Campbell Library, Medline and CINAHL, has revealed that currently there is no Scoping Review (published or in progress) on the subject. In this context, this scoping review will examine and map the published and unpublished research around the use of MI by nurses implemented and evaluated to promote health behaviors in adolescents; to establish its current extent, range and nature and identify its feasibility, outcomes and gaps in the evidence defining research priorities in this field. This scoping review will be informed by the JBI methodology37 that suggests a five stage methodological framework for conducting scoping reviews which includes: identifying the research question, searching for relevant studies, selecting studies, charting data, collating, summarizing and reporting the results.

Unmet health needs in patients with coronary heart disease: implications and potential for improvement in caring services

BACKGROUND: Improving the quality of health care services requires tailoring facilities to fulfil patients' needs. Satisfying patients' healthcare needs, listening to patients' opinions and building a closer provider-user partnership are central to the NHS. Few published studies have discussed cardiovascular patients' health needs, but they are not comprehensive and fail to explore the contribution of outcome to needs assessment. METHOD: A comprehensive self-administered health needs assessment (HNA) questionnaire was developed for concomitant use with generic (Short Form-12 and EuroQOL) and specific (Seattle Angina Questionnaire) health-related quality of life (HRQL) instruments on 242 patients admitted to the Acute Cardiac Unit, Nottingham. RESULTS: 38% reported difficulty accessing health facilities, 56% due to transport and 32% required a travelling companion. Mean HRQOL scores were lower in those living alone (P < 0.05) or who reported unsatisfactory accommodation. Dissatisfaction with transport affected patients' ease of access to healthcare facilities (P < 0.001). Younger patients (<65 y) were more likely to be socially isolated (P = 0.01). Women and patients with chronic disease were more likely to be concerned about housework (P < 0.05). Over 65 s (p < 0.05) of higher social classes (p < 0.01) and greater physical needs (p < 0.001) had more social needs, correlating moderately (0.32 < r < 0.63) with all HRQL domains except SAQ-AS. Several HRQL components were highly correlated with the HNA physical score (p < 0.001). CONCLUSIONS: Patients wanted more social (suitable accommodation, companionship, social visits) and physical (help aids, access to healthcare services, house work) support. The construct validity and intra-class reliability of the HNA tool were confirmed. Our results indicate a gap between patients' health needs and available services, highlighting potential areas for improvement in the quality of services

Identifying health inequalities in individuals with major mental illness (MMI) using routine data

Abstract and Summary of Thesis: Background: Individuals with Major Mental Illness (such as schizophrenia and bipolar disorder) experience increased rates of physical health comorbidity compared to the general population. They also experience inequalities in access to certain aspects of healthcare. This ultimately leads to premature mortality. Studies detailing patterns of physical health comorbidity are limited by their definitions of comorbidity, single disease approach to comorbidity and by the study of heterogeneous groups. To date the investigation of possible sources of healthcare inequalities experienced by individuals with Major Mental Illness (MMI) is relatively limited. Moreover studies detailing the extent of premature mortality experienced by individuals with MMI vary both in terms of the measure of premature mortality reported and age of the cohort investigated, limiting their generalisability to the wider population. Therefore local and national data can be used to describe patterns of physical health comorbidity, investigate possible reasons for health inequalities and describe mortality rates. These findings will extend existing work in this area. Aims and Objectives: To review the relevant literature regarding: patterns of physical health comorbidity, evidence for inequalities in physical healthcare and evidence for premature mortality for individuals with MMI. To examine the rates of physical health comorbidity in a large primary care database and to assess for evidence for inequalities in access to healthcare using both routine primary care prescribing data and incentivised national Quality and Outcome Framework (QOF) data. Finally to examine the rates of premature mortality in a local context with a particular focus on cause of death across the lifespan and effect of International Classification of Disease Version 10 (ICD 10) diagnosis and socioeconomic status on rates and cause of death. Methods: A narrative review of the literature surrounding patterns of physical health comorbidity, the evidence for inequalities in physical healthcare and premature mortality in MMI was undertaken. Rates of physical health comorbidity and multimorbidity in schizophrenia and bipolar disorder were examined using a large primary care dataset (Scottish Programme for Improving Clinical Effectiveness in Primary Care (SPICE)). Possible inequalities in access to healthcare were investigated by comparing patterns of prescribing in individuals with MMI and comorbid physical health conditions with prescribing rates in individuals with physical health conditions without MMI using SPICE data. Potential inequalities in access to health promotion advice (in the form of smoking cessation) and prescribing of Nicotine Replacement Therapy (NRT) were also investigated using SPICE data. Possible inequalities in access to incentivised primary healthcare were investigated using National Quality and Outcome Framework (QOF) data. Finally a pre-existing case register (Glasgow Psychosis Clinical Information System (PsyCIS)) was linked to Scottish Mortality data (available from the Scottish Government Website) to investigate rates and primary cause of death in individuals with MMI. Rate and primary cause of death were compared to the local population and impact of age, socioeconomic status and ICD 10 diagnosis (schizophrenia vs. bipolar disorder) were investigated. Results: Analysis of the SPICE data found that sixteen out of the thirty two common physical comorbidities assessed, occurred significantly more frequently in individuals with schizophrenia. In individuals with bipolar disorder fourteen occurred more frequently. The most prevalent chronic physical health conditions in individuals with schizophrenia and bipolar disorder were: viral hepatitis (Odds Ratios (OR) 3.99 95% Confidence Interval (CI) 2.82-5.64 and OR 5.90 95% CI 3.16-11.03 respectively), constipation (OR 3.24 95% CI 3.01-3.49 and OR 2.84 95% CI 2.47-3.26 respectively) and Parkinson’s disease (OR 3.07 95% CI 2.43-3.89 and OR 2.52 95% CI 1.60-3.97 respectively). Both groups had significantly increased rates of multimorbidity compared to controls: in the schizophrenia group OR for two comorbidities was 1.37 95% CI 1.29-1.45 and in the bipolar disorder group OR was 1.34 95% CI 1.20-1.49. In the studies investigating inequalities in access to healthcare there was evidence of: under-recording of cardiovascular-related conditions for example in individuals with schizophrenia: OR for Atrial Fibrillation (AF) was 0.62 95% CI 0.52 - 0.73, for hypertension 0.71 95% CI 0.67 - 0.76, for Coronary Heart Disease (CHD) 0.76 95% CI 0.69 - 0.83 and for peripheral vascular disease (PVD) 0.83 95% CI 0.72 - 0.97. Similarly in individuals with bipolar disorder OR for AF was 0.56 95% CI 0.41-0.78, for hypertension 0.69 95% CI 0.62 - 0.77 and for CHD 0.77 95% CI 0.66 - 0.91. There was also evidence of less intensive prescribing for individuals with schizophrenia and bipolar disorder who had comorbid hypertension and CHD compared to individuals with hypertension and CHD who did not have schizophrenia or bipolar disorder. Rate of prescribing of statins for individuals with schizophrenia and CHD occurred significantly less frequently than in individuals with CHD without MMI (OR 0.67 95% CI 0.56-0.80). Rates of prescribing of 2 or more anti-hypertensives were lower in individuals with CHD and schizophrenia and CHD and bipolar disorder compared to individuals with CHD without MMI (OR 0.66 95% CI 0.56-0.78 and OR 0.55 95% CI 0.46-0.67, respectively). Smoking was more common in individuals with MMI compared to individuals without MMI (OR 2.53 95% CI 2.44-2.63) and was particularly increased in men (OR 2.83 95% CI 2.68-2.98). Rates of ex-smoking and non-smoking were lower in individuals with MMI (OR 0.79 95% CI 0.75-0.83 and OR 0.50 95% CI 0.48-0.52 respectively). However recorded rates of smoking cessation advice in smokers with MMI were significantly lower than the recorded rates of smoking cessation advice in smokers with diabetes (88.7% vs. 98.0%, p<0.001), smokers with CHD (88.9% vs. 98.7%, p<0.001) and smokers with hypertension (88.3% vs. 98.5%, p<0.001) without MMI. The odds ratio of NRT prescription was also significantly lower in smokers with MMI without diabetes compared to smokers with diabetes without MMI (OR 0.75 95% CI 0.69-0.81). Similar findings were found for smokers with MMI without CHD compared to smokers with CHD without MMI (OR 0.34 95% CI 0.31-0.38) and smokers with MMI without hypertension compared to smokers with hypertension without MMI (OR 0.71 95% CI 0.66-0.76). At a national level, payment and population achievement rates for the recording of body mass index (BMI) in MMI was significantly lower than the payment and population achievement rates for BMI recording in diabetes throughout the whole of the UK combined: payment rate 92.7% (Inter Quartile Range (IQR) 89.3-95.8 vs. 95.5% IQR 93.3-97.2, p<0.001 and population achievement rate 84.0% IQR 76.3-90.0 vs. 92.5% IQR 89.7-94.9, p<0.001 and for each country individually: for example in Scotland payment rate was 94.0% IQR 91.4-97.2 vs. 96.3% IQR 94.3-97.8, p<0.001. Exception rate was significantly higher for the recording of BMI in MMI than the exception rate for BMI recording in diabetes for the UK combined: 7.4% IQR 3.3-15.9 vs. 2.3% IQR 0.9-4.7, p<0.001 and for each country individually. For example in Scotland exception rate in MMI was 11.8% IQR 5.4-19.3 compared to 3.5% IQR 1.9-6.1 in diabetes. Similar findings were found for Blood Pressure (BP) recording: across the whole of the UK payment and population achievement rates for BP recording in MMI were also significantly reduced compared to payment and population achievement rates for the recording of BP in chronic kidney disease (CKD): payment rate: 94.1% IQR 90.9-97.1 vs.97.8% IQR 96.3-98.9 and p<0.001 and population achievement rate 87.0% IQR 81.3-91.7 vs. 97.1% IQR 95.5-98.4, p<0.001. Exception rates again were significantly higher for the recording of BP in MMI compared to CKD (6.4% IQR 3.0-13.1 vs. 0.3% IQR 0.0-1.0, p<0.001). There was also evidence of differences in rates of recording of BMI and BP in MMI across the UK. BMI and BP recording in MMI were significantly lower in Scotland compared to England (BMI:-1.5% 99% CI -2.7 to -0.3%, p<0.001 and BP: -1.8% 99% CI -2.7 to -0.9%, p<0.001). While rates of BMI and BP recording in diabetes and CKD were similar in Scotland compared to England (BMI: -0.5 99% CI -1.0 to 0.05, p=0.004 and BP: 0.02 99% CI -0.2 to 0.3, p=0.797). Data from the PsyCIS cohort showed an increase in Standardised Mortality Ratios (SMR) across the lifespan for individuals with MMI compared to the local Glasgow and wider Scottish populations (Glasgow SMR 1.8 95% CI 1.6-2.0 and Scotland SMR 2.7 95% CI 2.4-3.1). Increasing socioeconomic deprivation was associated with an increased overall rate of death in MMI (350.3 deaths/10,000 population/5 years in the least deprived quintile compared to 794.6 deaths/10,000 population/5 years in the most deprived quintile). No significant difference in rate of death for individuals with schizophrenia compared with bipolar disorder was reported (6.3% vs. 4.9%, p=0.086), but primary cause of death varied: with higher rates of suicide in individuals with bipolar disorder (22.4% vs. 11.7%, p=0.04). Discussion: Local and national datasets can be used for epidemiological study to inform local practice and complement existing national and international studies. While the strengths of this thesis include the large data sets used and therefore their likely representativeness to the wider population, some limitations largely associated with using secondary data sources are acknowledged. While this thesis has confirmed evidence of increased physical health comorbidity and multimorbidity in individuals with MMI, it is likely that these findings represent a significant under reporting and likely under recognition of physical health comorbidity in this population. This is likely due to a combination of patient, health professional and healthcare system factors and requires further investigation. Moreover, evidence of inequality in access to healthcare in terms of: physical health promotion (namely smoking cessation advice), recording of physical health indices (BMI and BP), prescribing of medications for the treatment of physical illness and prescribing of NRT has been found at a national level. While significant premature mortality in individuals with MMI within a Scottish setting has been confirmed, more work is required to further detail and investigate the impact of socioeconomic deprivation on cause and rate of death in this population. It is clear that further education and training is required for all healthcare staff to improve the recognition, diagnosis and treatment of physical health problems in this population with the aim of addressing the significant premature mortality that is seen. Conclusions: Future work lies in the challenge of designing strategies to reduce health inequalities and narrow the gap in premature mortality reported in individuals with MMI. Models of care that allow a much more integrated approach to diagnosing, monitoring and treating both the physical and mental health of individuals with MMI, particularly in areas of social and economic deprivation may be helpful. Strategies to engage this “hard to reach” population also need to be developed. While greater integration of psychiatric services with primary care and with specialist medical services is clearly vital the evidence on how best to achieve this is limited. While the National Health Service (NHS) is currently undergoing major reform, attention needs to be paid to designing better ways to improve the current disconnect between primary and secondary care. This should then help to improve physical, psychological and social outcomes for individuals with MMI.

Perception of health benefits of dietary fibre among the Portuguese population

Introduction: Dietary iber (DF) has been part of human diet since ever, and its beneits for the human health have been well estab-lished and scientiically conirmed. Among these stand improved gastrointestinal functions, prevent cholesterol, diabetes or CVD. Objectives: To study the level of knowledge of people residing in Portugal about the health effects related to an adequate ingestion of DF. Methods: This is a descriptive cross-sectional study carried out on a non-probabilistic sample of 382 adults residing in Portugal. The questionnaire included a section about the socio-demographic characteristics (age, gender, level of education and living environ- ment) and another about the relation between dietary iber and possible beneicial effects to treat and prevent diseases. The data was treated using the SPSS software (V22). Results: The results allowed concluding that people were dif- ferently informed about the effects of DF in preventing and/or treating different diseases, being constipation the most recog- nized, followed in decreasing order by obesity, bowel cancer, cholesterol, cardiovascular diseases, diabetes and breast can- cer. The results also showed that signiicant differences were encountered between age groups for most of the diseases evalu- ated, but not between genders, levels of education or living en- vironments. Conclusions: Generally, it was concluded that the participants in this study were relatively well informed about the roles of DF in preventing and/or treating various diseases.

Trabalhe com o coração - Redução do Risco Cardiovascular nos funcionários da Câmara Municipal de Viana do Alentejo

Este trabalho visou a prevenção das doenças cardiovasculares através da promoção de estilos de vida saudáveis em adultos em idade ativa. Objetivos: Avaliar o Risco Cardiovascular; identificar os conhecimentos sobre fatores de risco modificáveis; promover a criação de um grupo dinamizador de atividades promotoras de estilos de vida saudáveis. Metodologia: Planeamento em Saúde. Resultados: Dos 71 indivíduos avaliados, 33,8 % apresentaram evidência de risco cardiovascular, sendo que 6 apresentaram um Risco Cardiovascular muito alto, 4 risco alto e 14 risco moderado. Existiram diferenças significativas ao nível dos conhecimentos sobre doenças cardiovasculares e estilos de vida referidos pelos 2 grupos de funcionários avaliados. Conclusões: A adesão a estilos de vida saudáveis contribui para a redução dos fatores de risco modificáveis, cuja avaliação só é possível a médio e longo prazo. O investimento na criação de um grupo dinamizador no local de trabalho e a formalização de parcerias contribuiu para garantir a sustentabilidade do projeto; ABSTRACT: This work aimed the prevention of cardiovascular disease by promoting healthy lifestyles in adults of working age. Aims: Evaluate cardiovascular risk; identify the knowledge of modifiable risk factors; promote the creation of a dynamic group of activities that promote healthy lifestyles. Methodology: Planning in Health. Results: 71 workers evaluated, 33,8% had evidence of Cardiovascular Risk, and 6 showed a very high cardiovascular risk, 4 high risk and 14 moderate risk. There were significant differences in the knowledge of cardiovascular diseases and lifestyles reported by the two groups of evaluated employees. Conclusions: Following healthy lifestyles contributes to the reduction of modifiable risk factors, whose assessment is possible only in the medium and long term. The investment in creating a dynamic group in the workplace and the formalization of partnerships contributed to ensure the sustainability of the project.

Association of depression and anxiety status with 10-year cardiovascular disease incidence among apparently healthy Greek adults:the ATTICA study

Background: Chronic stress frequently manifests with anxiety and/or depressive symptomatology and may have detrimental cardiometabolic effects over time. As such, recognising the potential links between stress-related psychological disorders and cardiovascular disease (CVD) is becoming increasingly important in cardiovascular epidemiology research. The primary aim of this study was to explore prospectively potential associations between clinically relevant depressive symptomatology and anxiety levels and the 10-year CVD incidence among apparently healthy Greek adults. Design: A population-based, health and nutrition prospective survey. Methods: In the context of the ATTICA Study (2002–2012), 853 adult participants without previous CVD history (453 men (45 ± 13 years) and 400 women (44 ± 18 years)) underwent psychological evaluations through validated, self-reporting depression and anxiety questionnaires. Results: After adjustment for multiple established CVD risk factors, both reported depression and anxiety levels were positively and independently associated with the 10-year CVD incidence, with depression markedly increasing the CVD risk by approximately fourfold (adjusted odds ratio (95% confidence interval) 3.6 (1.3, 11) for depression status; 1.03 (1.0, 1.1) for anxiety levels). Conclusions: Our findings indicate that standardised psychological assessments focusing on depression and anxiety should be considered as an additional and distinct aspect in the context of CVD preventive strategies that are designed and implemented by health authorities at the general population level.

Public health implications of dietary fiber intake to reduce the cost of chronic diseases

Objective: To assess the epidemiological evidence on dietary fiber intake and chronic diseases and make public health recommendations for the population in Romania based on their consumption. Populations that consume more dietary fiber from cereals, fruits and vegetables have less chronic disease. Dietary Reference Intakes recommend consumption of 14 g dietary fiber per 1,000 kcal, or 25 g for adult women and 38 g for adult men, based on epidemiologic studies showing protection against cardiovascular disease, stroke, hypertension, diabetes, obesity, metabolic syndrome, gastrointestinal disorders, colorectal -, breast -, gastric -, endometrial -, ovarian - and prostate cancer. Furthermore, increased consumption of dietary fiber improves serum lipid concentrations, lowers blood pressure, blood glucose leads to low glycemic index, aids in weight loss, improve immune function, reduce inflammatory marker levels, reduce indicators of inflammation. Dietary fibers contain an unique blend of bioactive components including resistant starches, vitamins, minerals, phytochemicals and antioxidants. Dietary fiber components have important physiological effects on glucose, lipid, protein metabolism and mineral bioavailability needed to prevent chronic diseases. Materials and methods: Data regarding diet was collected based on questionnaires. We used mathematical formulas to calculate the mean dietary fiber intake of Romanian adult population and compared the results with international public health recommendations. Results: Based on the intakes of vegetables, fruits and whole cereals we calculated the Mean Dietary Fiber Intake/day/person (MDFI). Our research shows that the national average MDFI was 9.8 g fiber/day/person, meaning 38% of Dietary Requirements, and the rest of 62% representing a “fiber gap” that we have to take into account. This deficiency predisposes to chronic diseases. Conclusions and recommendations:The poor control of relationship between dietary fiber intake and chronic diseases is a major issue that can result in adverse clinical and economic outcomes. The population in Romania is at risk to develop such diseases due to the deficient fiber consumption. A model of chronic diseases costs is needed to aid attempts to reduce them while permitting optimal management of the chronic diseases. This paper presents a discussion of the burden of chronical disease and its socio-economic implications and proposes a model to predict the costs reduction by adequate intake of dietary fiber.

Fiber, a component for health gastrointestinal endocrine system

Dietary fiber was classified according to its solubility in an attempt to relate physiological effects to chemical types of fiber. Soluble fibers (B-glucans, gums, wheat dextrin, psyllium, pectin, inulin) were considered to have benefits on serum lipids, while insoluble fibers (cellulose, lignin, pectins, hemicelluloses) were linked with laxation benefits. More important characteristics of fiber in terms of physiological benefits are viscosity and fermentability. Viscous fibers (pectins, B-glucans, gums, psyllium) are those that have gel-forming properties in the intestinal tract, and fermentable fibers (wheat dextrin, pectins, B-glucans, gum, inulin) are those that can be metabolized by colonic bacteria. Objective: To summarize the beneficial effects of dietary fiber, as nutraceuticals, in order to maintain a healthy gastrointestinal system. Methods: Our study is a systematic review. Electronic databases, including PubMed, Medline, with supplement of relevant websites, were searched. We included randomized and non-randomized clinical trials, epidemiological studies (cohort and case-control). We excluded case series, case reports, in vitro and animal studies. Results: The WHO, the U.S. Food and Drug Administration (FDA), the Heart Foundation and the Romanian Dietary Guidelines recommends that adults should aim to consume approximately 25–30 g fiber daily. Dietary fiber is found in the indigestible parts of cereals, fruits and vegetables. There are countries where people don’t eat enough food fibers, these people need to take some kind of fiber supplement. Evidence has been found that dietary fiber from whole foods or supplements may (1) reduce the risk of cardiovascular disease by improving serum lipids and reducing serum total and low-density lipoprotein (LDL) cholesterol concentrations, (2) decreases the glycaemic index of foods, which leads to an improvement in glycemic response, positive impact on diabetes, (3) protect against development of obesity by increasing satiety hormone leptin concentrations, (4) reduced risk of developing colorectal cancer by normalizes bowel movements, improve the integrity of the epithelial layer of the intestines, increase the resistance against pathogenic colonization, have favorable effects on the gut microbiome, wich is the second genomes of the microorganisms, (5) have a positive impact on the endocrine system by gastrointestinal polypeptide hormonal regulation of digestion, (6) have prebiotic effect by short-chain fatty acids (SCFA) production; butyrate acid is the preferred energy source for colonic epithelial cells, promotes normal cell differentiation and proliferation, and also help regulate sodium and water absorption, and can enhance absorption of calcium and other minerals. Although all prebiotics are fiber, not all fiber is prebiotic. This generally refers to the ability of a fiber to increase the growth of bifidobacteria and lactobacilli, which are beneficial to human health, and (7) play a role in improving immune function via production of SCFAs by increases T helper cells, macrophages, neutrophils, and increased cytotoxic activity of natural killer cells. Conclusion: Fiber consumption is associated with high nutritional value and antioxidant status of the diet, enhancing the effects on human health. Fibers with prebiotic properties can also be recommended as part of fiber intake. Due to the variability of fiber’s effects in the body, it is important to consume fiber from a variety of sources. Increasing fiber consumption for health promotion and disease prevention is a critical public health goal.