Our results show that women long period of cancer survival have high prevalences of anxiety than depression, and this prevalence of anxiety is higher than the general population. In addition, we found inequalities between social classes and the isolation and social support are worse too in low social class.

We present a simple and practical tool that allows the usual distribution of the duration of non-occupational sick leave to be determined by medical diagnosis. A total of 2,646,352 episodes of medically certified sick leave, registered by the Catalan Institute of Medical Evaluations for the period 2006-2008, were followed to closure and were entered into a spreadsheet. Given its asymmetric distribution, the median duration of sick leave was 9 days. Musculoskeletal disorders were the most frequent diagnostic group (22.5%), while neoplasms had the longest median duration (56 days). The most common specific diagnoses were diarrhea-gastroenteritis (8.2%; median: 3 days) and acute rhinopharyngitis (5.2%; median: 4 days). The distribution of the duration of sick leave in a population varies by diagnosis and is asymmetric, with most episodes being much shorter than the mean duration. This finding is important for better clinical and administrative management of sick leave episodes.

Cancer-related fatigue (CRF) is one of the most prolonged discomforts suffered by people who have had cancer. Seventy-eight to ninety-six percent of cancer patients experience fatigue, especially while undergoing treatment. CRF is related to insomnia, anxiety, depression, and also varies depending on age. However, little is known about the factors contributing to CRF and better understanding of determinants of CRF makes it easier to identify early patients at risk and in designing intervention planning. The aim of this study was to assess the influence of precipitating factors (diagnosis of breast cancer and other clinical aspects) and perpetuating factors (social network, quality of life, mental disorders) on the presence of chronic fatigue in women from our cultural context, by social class each other determinants. Methods It was carried out a mixed cohort study (prospective and retrospective) using a convenience sample of women diagnosed with breast cancer. The information sources were data from the Brief Fatigue Inventory questionnaire and hospital medical records. The dependent variable was fatigue and the independent variables were age, social class, time since diagnoses, cohabitation, comorbidity, relapse, body mass index, mental health (anxiety and depression), social network, social support, and quality of life. Results Seventy-two percent of the women in the DAMA cohort reported moderate to severe fatigue. Risk of suffering from severe fatigue was greatest among individuals with low social class, those aged under 50 years, those with chronic disorders who

For sick leave lasting more than 15 days, these results confirm that cases managed by an insurance company ended earlier than for those managed by the NISS, both for contract and self-employed workers. Further research is needed to explore the reasons for these differences.