Sökning: "Fysisk aktivitet och stress"
Visar resultat 1 - 5 av 25 avhandlingar innehållade orden Fysisk aktivitet och stress.
1. Overlapping Neural Substrates of Alcohol- and Anxiety-Related Behavior in the Rat
Sammanfattning : Alcohol use is a leading cause of death and disease worldwide. A large part of this disease burden is associated with alcohol use disorder (AUD), a diagnostic category characterized by excessive use in spite of negative consequences ("compulsive use"), a loss of control over intake, and choice of alcohol over natural rewards. LÄS MER
2. Movement behavior and mental health in office workers : Associations and intervention effects
Sammanfattning : Mental disorders pose a significant global health challenge. To effectively address this challenge, mental health promotion must be included in various sectors, including workplaces. Various strategies for promoting mental health in the workplace have been suggested, including interventions aimed at improving movement behavior, i.e. LÄS MER
3. Physical activity and breast cancer. Risk, survival and perceived energy
Sammanfattning : Background: Physical activity and avoidance of sedentariness do enhance health in women with breast cancer, and could even reduce the risk of developing the disease. One aim of this thesis was to elucidate the association between sedentariness and breast cancer risk in women as a whole, and then separately for those younger than 55 years old and those 55 years or older. LÄS MER
4. Stress urinary incontinence among women. Aspects of risk factors, evaluation and surgical treatment
Sammanfattning : The etiology of female stress urinary incontinence (SUI) is unclear. By linking three nationwide medical registries we evaluated maternal and obstetric factors associated with later SUI surgery. Surgery for SUI was strongly associated with vaginal delivery, but not with pregnancy as such. LÄS MER
5. Statistical inference and time-frequency estimation for non-stationary signal classification
Sammanfattning : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. LÄS MER