13 research outputs found

    Different areas of chronic stress and their associations with depression

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    Background: Research shows a connection between stress and depression, but there is little differentiation between areas of stress, making it difficult to identify and address specific areas in the context of public health measures. We utilized a multi-dimensional approach to chronic stress to better understand the relationship between different areas of stress and depression. Methods: We conducted linear regression analyses and used data from a sub-sample of the LIFE-Adult-Study (N = 1008) to analyze the connection between nine different areas of chronic stress (TICS) and depression (CES-D). In the second analysis, we controlled for sociodemographic variables, personality, physical activity, and social support. Results: There was a significant positive association between the stress domains Excessive Demands from Work, Lack of Social Recognition, Social Isolation, and Chronic Worrying and depression and a significant negative association between Pressure to Perform and depression. After adding control variables, only Pressure to Perform, Social Isolation, and Chronic Worrying remained significant predictors. Conclusions: By focusing on the connections between chronic stress and depression, researchers can help identify the areas that matter most and contribute to the creation of meaningful and efficient interventions. On the basis of our results, measures for the prevention of depression that focus on the reduction of worrying and social isolation are recommended

    Predictors of cardiopulmonary fitness in cancer-affected and -unaffected women with a pathogenic germline variant in the genes BRCA1/2 (LIBRE-1)

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    Physical activity (PA) helps prevention and aftercare of sporadic breast cancer (BC), cardiopulmonary fitness (CPF) being an age-independent predictor of tumor-specific mortality. Therefore, we wanted to identify predictors of CPF (represented by peak oxygen uptake: VO2peak) in BRCA1/2 mutation carriers whose risk of developing BC is high. We used cross-sectional data from 68 BRCA1/2 germline mutation carrying women participating in the randomized, prospective, controlled clinical study LIBRE-1. Assessments included cardiopulmonary exercise testing, medical and lifestyle history plus socioeconomic status. Additionally, the participants completed a psychological questionnaire regarding their attitude, subjective norms, perceived behavior control and intention towards PA. A multivariate logistic regression model was used to identify predictors for participants reaching their age- and sex-adjusted VO2peak reference values. 22 participants (median age: 40 years, interquartile range (IQR) 33-46) were cancer-unaffected and 46 cancer-affected (median age: 44 years, IQR 35-50). The strongest predictor for reaching the reference VO2peak value was attitude towards PA (Odds Ratio 3.0; 95% Confidence Interval 1.3-8.4; p = 0.021). None of the other predictors showed a significant association. A positive attitude towards PA seems to be associated with VO2peak, which should be considered in developing therapeutic and preventive strategies. Trial registrations: NCT02087592; DRKS00005736

    Connecting chronic stress and anxiety: A multi-dimensional perspective

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    Studies show a connection between anxiety and stress, but with little differentiation between different domains of stress. In this article, we utilize a multi-dimensional approach to better understand the relationship between different chronic stress domains and anxiety. This will allow researchers to identify and address those areas of stress that are most relevant with regard to anxiety. We used data from a sub sample of the LIFE-Adult-Study (n = 1085) to analyze the association between nine different areas of chronic stress (Trier Inventory for Chronic Stress, TICS) and anxiety (General Anxiety Disorder 7, GAD-7), controlling for sociodemographic variables, personality, and social support. There was a significant and positive association between Work Overload, Pressure to Perform, Social Tensions, Social Isolation, Chronic Worrying, and anxiety. After including the control variables, only Work Overload and Chronic Worrying remained significant. By focusing on Work Overload and Chronic Worrying researchers, practitioners, and policy makers can help to mitigate anxiety and related health problems in the population in an efficient way
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