7 resultados para Socio-Genesis of Mental Health Disorders

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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Family impact (or family burden) is a concept born in the field of mental health that has successfully been exported to the ambit of intellectual disability (ID). However, differences in family impact associated with severe mental health disorders (schizophrenia), to ID or to mental health problems in ID should be expected. Seventy-two adults with intellectual disability clients of the Carmen Pardo-Valcarce Foundation's sheltered workshops and vocational employment programmes in Madrid (Spain), 203 adults diagnosed with schizophrenia from four Spanish Community Mental Health Services (Barcelona, Madrid, Granada and Navarra) and 90 adults with mental health problems in ID (MH-ID) from the Parc Sanitari Sant Joan de Déu Health Care Site in Sant Boi de Llobregat, Barcelona (Spain) were asked to participate in the present study along with their main caregivers. Family impact experienced by caregivers was assessed with the ECFOS-II/SOFBI-II scale (Entrevista de Carga Familiar Objetiva y Subjetiva/Objective and Subjective Family Burden Interview). In global terms, results showed that the higher family impact was found between caregivers to people with MH-ID. The interaction of both conditions (ID and mental health problems) results in a higher degree of burden on families than when both conditions are presented separately. There was also an impact in caregivers to people with schizophrenia, this impact being higher than the one detected in caregivers to people with intellectual disability. Needs of caregivers to people with disability should be addressed specifically in order to effectively support families.

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Background: A holistic perspective on health implies giving careful consideration to the relationship between physical and mental health. In this regard the present study sought to determine the level of Positive Mental Health (PMH) among people with chronic physical health problems, and to examine the relationship between the observed levels of PMH and both physical health status and socio-demographic variables. Methods: The study was based on the Multifactor Model of Positive Mental Health (Lluch, 1999), which comprises six factors: Personal Satisfaction (F1), Prosocial Attitude (F2), Self-control (F3), Autonomy (F4), Problem-solving and Self-actualization (F5), and Interpersonal Relationship Skills (F6). The sample comprised 259 adults with chronic physical health problems who were recruited through a primary care center in the province of Barcelona (Spain). Positive mental health was assessed by means of the Positive Mental Health Questionnaire (Lluch, 1999). Results: Levels of PMH differed, either on the global scale or on specific factors, in relation to the following variables: age: global PMH scores decreased with age (r=-0.129; p=0.038); b) gender: men scored higher on F1 (t=2.203; p=0.028) and F4 (t=3.182; p=0.002), while women scored higher on F2 (t -3.086; p=0.002) and F6 (t=-2.744; p=0.007); c) number of health conditions: the fewer the number of health problems the higher the PMH score on F5 (r=-0.146; p=0.019); d) daily medication: polymedication patients had lower PMH scores, both globally and on various factors; e) use of analgesics: occasional use of painkillers was associated with higher PMH scores on F1 (t=-2.811; p=0.006). There were no significant differences in global PMH scores according to the type of chronic health condition. The only significant difference in the analysis by factors was that patients with hypertension obtained lower PMH scores on the factor Autonomy (t=2.165; p=0.032). Conclusions: Most people with chronic physical health problems have medium or high levels of PMH. The variables that adversely affect PMH are old age, polypharmacy and frequent consumption of analgesics. The type of health problem does not influence the levels of PMH. Much more extensive studies with samples without chronic pathology are now required in order to be able to draw more robust conclusions.

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In this paper we measure the degree of income related inequality in mental health as measured by the GHQ instrument and general health as measured by the EQOL-5D instrument for the Catalan population. We find that income is the main contributor to inequality, although the share of inequality in mental health that can be explained by income is much greater than the corresponding share of inequality in general health. We also find that the variation in demographic structure reduces income related inequality in mental health but increases income related inequality in general health. The regional variations in both instruments for health are striking, with the Barcelona districts faring relatively bad with respect to the rest of geographical areas and Lleida being the health region where, all else held equal, the population reports the greatest level of health. A big share of inequality in the two health measures, but specially mental health, is due to the favourable position in both health and income of those who enjoy an indefinite contract with respect to the rest of individuals. We also find that risky working conditions affect both health measures and are able to explain an important share of socio-economic inequality.

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Emigrating and having to leave children behind may be a risk factor for the mental health of immigrants. This study aimed to compare the psychological symptoms reported by immigrants mothers and fathers who took their children with them with those who left their children behind. The sample comprised 213 Latin American immigrants (123 women and 90 men). The results showed that mothers who did not have children with them reported more psychological symptoms than those who did. Few differences were observed in the case of fathers, except that those who had their children with them reported more symptoms related with somatization. After controlling for possible confounding variables ('time since immigration', ·having a job', 'legal status', and social support') it is concluded that for mothers not being accompanied by own's children explains the largest proportion of the psychological synptoms analyzed, although the time since immigration also accounts for some of the variance in the case of depressive sympthomatology and general distress. It is likely that the despair and frustation felt by mothers grows as time goes on and they remain unable to reunite the family. These results may be useful in terms of designing prevention and intervention programs with immigrants mothers.

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The precise relationship between the positive psychological state of work (i.e. engagement ) and the negative psychological state (i.e. burnout) has recently received research attention. Some view these as opposite states on the same similar continuum, while others take the position that they represent different biobehavioral spheres. This study expands our knowledge of the phenomenta engagement and burnout by analyzing their separate and joint manifestations. Using a sample of 2094 nurses, respondents were analyzed to determine the configuration of antecedents leading to separate and joint states of engagement and burnout, the configuration of engagement and burnout leading to mental, physical and organizational outcomes, and the relationship between engagement, bornout, and risk of metabolic syndrome. The study found that while both work engagement and burnout are highly correlated to health and organizational outcomes, the relative statistical power of burnout has a greater direct effect on health. It is important for workers and managers to adress the sources of burnout before addressing the positive psychological aspects of worker engagement.

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Recent evidence questions some conventional view on the existence of income-related inequalities in depression suggesting in turn that other determinants might be in place, such as activity status and educational attainment. Evidence of socio-economic inequalities is especially relevant in countries such as Spain that have a limited coverage of mental health care and are regionally heterogeneous. This paper aims at measuring and explaining the degree of socio-economic inequality in reported depression in Spain. We employ linear probability models to estimate the concentration index and its decomposition drawing from 2003 edition of the Spanish National Health Survey, the most recent representative health survey in Spain. Our findings point towards the existence of avoidable inequalities in the prevalence of reported depression. However, besides ¿pure income effects¿ explaining 37% of inequality, economic activity status (28%), education (15%) and demographics (15%) play also a key encompassing role. Although high income implies higher resources to invest and cure (mental) illness, environmental factors influencing in peoples perceived social status act as indirect path as explaining the prevalence of depression. Finally, we find evidence of a gender effect, gender social-economic inequality in income is mainly avoidable.

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Recent evidence questions some conventional view on the existence of income-related inequalities in depression suggesting in turn that other determinants might be in place, such as activity status and educational attainment. Evidence of socio-economic inequalities is especially relevant in countries such as Spain that have a limited coverage of mental health care and are regionally heterogeneous. This paper aims at measuring and explaining the degree of socio-economic inequality in reported depression in Spain. We employ linear probability models to estimate the concentration index and its decomposition drawing from 2003 edition of the Spanish National Health Survey, the most recent representative health survey in Spain. Our findings point towards the existence of avoidable inequalities in the prevalence of reported depression. However, besides ¿pure income effects¿ explaining 37% of inequality, economic activity status (28%), education (15%) and demographics (15%) play also a key encompassing role. Although high income implies higher resources to invest and cure (mental) illness, environmental factors influencing in peoples perceived social status act as indirect path as explaining the prevalence of depression. Finally, we find evidence of a gender effect, gender social-economic inequality in income is mainly avoidable.