Documents Borrell, Carme 21 results

"Objectives This study aimed to (i) identify family responsibilities associated with moderately long working hours (41–60 hours a week); (ii) examine the relationship between moderately long working hours and three health outcomes; and (iii) analyze whether patterns differ by welfare state regimes. Methods The sample was composed of all employees aged 16–64 years working 30–60 hours a week interviewed in the 2005 European Working Conditions Survey (9288 men and 6295 women). We fitted multiple logistic regression models separated by sex and welfare state regime typologies.Results Married males were more likely to work long hours in countries with male breadwinner models whereas family responsibilities were related to long working hours among both sexes in countries with dual breadwinner models. The association between long working hours and health was (i) stronger among men in countries with male breadwinner models, primarily in Anglo-Saxon countries [adjusted odds ratio (ORadj) associated with working 51–60 hours of 6.43, 6.04 and 9.60 for work-related poor health status, stress and psychological distress, respectively); (ii) similar among both sexes in Nordic countries; and (iii) stronger among women in Eastern European countries.Conclusions In the European Union of 25 members (EU-25), working moderately long hours is associated with poor health outcomes with different patterns depending on welfare state regimes. The findings from this study suggest that the family responsibilities and breadwinner models can help explain the relationship between long working hours and health status."

"Health policies are specified in documents that contain values, objectives, strategies, and interventions to be implemented. The objective of our study was to analyse health policy documents of six European cities and one county council published around 2010 to determine (i) how cities conceptualize health inequalities, and (ii) what strategies are proposed to reduce them. We performed a qualitative document analysis. We selected Health or Health Inequalities policy documents and analysed the following aspects: general characteristics of the document, inclusion and definition of health inequalities, promotion of good governance and participation, number of objectives, and evaluation. We also described specific objectives. Rotterdam, London, and Stockholm use a conceptual framework. Two of them define health inequalities as a social gradient. Intersectoral action, participation, and evaluation are included in most documents. Interventions focus mainly on the socioeconomic context."

"L'homme "gagne-pain" et la femme "gardienne du foyer". Bien qu'en décalage total avec la réalité contemporaine du monde du travail, ces schémas traditionnels ont la vie dure. Ils contribuent à minorer l'impact des tâches domestiques sur la santé des femmes. Inégalités de genre et inégalités sociales se combinant, ce sont les travailleuses occupant les niveaux les plus bas sur l'échelle socioprofessionnelle qui subissent la plus forte dégradation de leur santé, tant sur le plan physique que psychologique."

"The aim of this study was to examine the complex interactions between political traditions, policies, and public health outcomes, and to find out whether different political traditions have been associated with systematic patterns in population health over time. We analysed a number of political, economic, social, and health variables over a 50-year period, in a set of wealthy countries belonging to the Organisation for Economic Co-operation and Development (OECD). Our findings support the hypothesis that the political ideologies of governing parties affect some indicators of population health. Our analysis makes an empirical link between politics and policy, by showing that political parties with egalitarian ideologies tend to implement redistributive policies. An important finding of our research is that policies aimed at reducing social inequalities, such as welfare state and labour market policies, do seem to have a salutary effect on the selected health indicators, infant mortality and life expectancy at birth."

"STUDY OBJECTIVE:
To investigate the association between material deprivation and 10 leading causes of death by gender.
DESIGN:
Small area cross sectional ecological study using two dimensions of material deprivation (Index 1 and Index 2) drawn from 1991 census and cause specific mortality data aggregated for 1987-1995.
SETTING: 2218 small areas in Spain.
MAIN RESULTS:
Strong detrimental associations of two deprivation indices were found with top six leading causes of death for men and top seven leading causes of death for women, except breast cancer. For men, the highest percentages of excess mortality (between 40% and 60%) were found for smoking and alcohol related causes of death such as lung cancer, chronic obstructive pulmonary diseases, and cirrhosis while for women the highest percentages of excess mortality (between 40% and 60%) were found for diet related causes such as diabetes and ischaemic heart disease.
CONCLUSIONS:
Health inequality is a widespread phenomenon in the majority of the top leading causes of deaths of the nation. Increasing levels of deprivation indices are associated with mortality risk differently by both cause and gender. Results suggest that deprivation effects mainly captured by Index 2 may manifest largely as unfavourable health behaviours leading to gender specific sets of causes of deaths. Findings of this study are consistent with the idea that material deprivation determines health inequality through both an increase of general susceptibility to ill health, leading to excess mortality in a wide range of causes, and a set of specific factors, resulting in an increased risk of death from a specific set of causes in each gender."

"OBJECTIVES:
To analyse whether there are gender inequalities in health among male and female workers who are married or cohabiting and to assess whether there are gender differences in the relation between family demands and health. Additionally, for both objectives it will be examined whether these gender patterns are similar for manual and non-manual workers.

DESIGN AND SETTING:
The data have been taken from the 1994 Catalonian Health Survey (CHS), a cross sectional survey based on a representative sample of the non-institutionalised population of Catalonia, a region in the north east of Spain that has about 6 million inhabitants. The dependent variables were four ill health indicators (self perceived health status, limiting longstanding illness, having at least one chronic condition and mental health) and two health related behaviours closely related to having time for oneself (no leisure time physical activity and sleeping six hours or less a day). Family demands were measured with three variables: household size, living with children under 15 years and living with adults older than 65 years. The analysis was separated for gender and social class (manual and non-manual workers) and additionally adjusted for age. Gender differences for all dependent and independent variables were first tested at the bivariate level using the chi(2) test for categorical variables and the t test for age. Secondly, multivariate logistic regression models were fitted.

PARTICIPANTS:
Persons who were employed, married or cohabiting, aged 25 to 64 years (2148 men and 1185 women).

RESULTS:
A female excess for all the ill health indicators was found, while there were no gender differences in the health related behaviours analysed. Family demands had a greater impact on health and health related behaviours of female manual workers. In this group household size was positively related to four dependent variables. The adjusted odds ratios (ORs) to living in family units of more than four persons versus living only with the spouse were 2.74 (95%CI=1.22, 6.17) for poor self perceived health status, 3.16 (95%CI=0.98, 10.15) for limiting long standing illness, 3.28 (95%CI=1.45, 7.44) for having at least one chronic condition, and 2.60 (95%CI=1.12, 6.00) for sleeping six hours or less a day. Among female manual workers living with children under 15 years was positively associated with no leisure time physical activity (adjusted OR=2.37; 95% CI=1.43, 3.92) and with sleeping six hours or less a day (adjusted OR=1.91; 95% CI=1.13, 3.32). Living with adults older than 65 years had an unexpected negative relation with poor self perceived health status (adjusted OR=0.33; 95%CI=0.16, 0.66), and with chronic conditions (adjusted OR=0.45; 95%CI=0.24, 0.87) in female manual workers. Among male manual workers living with children under 15 years was positively associated with longstanding limiting illness (adjusted OR=2.44; 95%CI=1.36, 4.38).

CONCLUSION:
When gender differences in health are analysed, both the paid and the non-paid work should be considered as well as the interaction between these two dimensions, gender and social class. In Catalonia, as probably in Spain and in other countries, private changes such as sharing domestic responsibilities, as well as active public policies for facilitating family care are needed in order to reduce gender health inequalities attributable to the unequal distribution of family demands."

"The objective of this study is to analyse gender inequalities in the combination of job and family life and their effect on health status and use of health care services. The data come from the Navarra Survey of Working Conditions (Spain, 1997) carried out on a sample of 2185 workers. The analysis was restricted to 881 men and 400 women, aged 25-64 years, who were married or cohabiting. Dependent variables were self-perceived health status, psychosomatic symptoms, and medical visits, all of them dichotomized. Independent variables were family demands and number of hours of paid work a week. The analysis was adjusted for age and occupational social class. Multivariate logistic regression models, separated by sex.
Family demands were not associated with men's health whereas married women who lived in family units of more than three members had a higher risk of poor self-perceived health status and of psychosomatic symptoms. Among women, working more than 40 hours a week was also associated with both health indicators and, additionally, with a higher probability of medical visits. In order to fully understand social determinants of workers' health, besides social class, gender inequalities in the distribution of family responsibilities should be considered."

"OBJECTIVES:
We examined gender differences in the effects of unemployment on mental health and assessed whether such effects are associated with interactions among gender, family roles, and social class.

METHODS:
Our analysis included 3881 employed and 638 unemployed workers, aged 25 to 64 years, interviewed in the 1994 Catalonian Health Survey.

RESULTS:
Unemployment had more of an effect on the mental health of men (age-adjusted odds ratio [OR] = 2.98; 95% confidence interval [CI] = 2.30, 3.87) than on that of women (age-adjusted OR = 1.51; 95% CI = 1.11, 2.06). Gender differences in effects were related to family responsibilities and social class.

CONCLUSIONS:
Understanding the effects of unemployment on mental health requires consideration of the interactions among gender, family responsibilities, and social class."