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Browsing by Subject "masennusoireet"

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  • Nikolainen, Paula (2015)
    Objectives: Depression is one of the most common mental disorders. It causes significant individual suffering as well as societal economic burden. In this study hostility refers to a multidimensional personality trait, which includes cynicity and paranoia towards others and feelings of anger. Previous studies have shown that hostility is associated with depressive symptoms and different psychosocial problems. However, it is not known if there is a two-way relationship between depressive symptoms and hostility over time. Thus, the aim of the current study was to examine, whether depressive symptoms predict higher levels of hostility, and also, whether hostility predicts later depressive symptoms. The hypothesis was that depressive symptoms would predict higher hostility. No hypothesis was set to whether hostility would predict later depressive symptoms. Methods: The sample of this study (n=1528) has been collected in a longitudinal and still ongoing study (the Young Finns study) started in 1980 of the risk factors for coronary heart disease of Finns of age 24–39 in 2001. Depressive symptoms were measured in 2001 and 2007 using a modified version of Beck's depression inventory (mBDI). Hostility was evaluated in 2001 and 2007 using three different scales which measure cognitive and affective dimensions of hostility. The scales of cognitive dimensions (cynicity and paranoia) are originally a part of the MMPI and SCL-90R inventories. Affective dimensions were measured using the anger scale included in Buss and Durkee's hostility scale. The research setting controlled for perceived social support, socioeconomic status and health behavior and they were assessed in 2001. Results and conclusions: A two-way relationship between depressive symptoms and hostility was found. The controlled factors did not attenuate the association between depressive symptoms and hostility. In addition, this study found that perceived low level of social support, a lower socioeconomic status, smoking and the male sex were weak predictors of hostility. This study also supports earlier results that depressive symptoms and hostility are relatively permanent traits. Recognizing a two-way relationship of depression and hostility may help in developing interventions for both conditions.
  • Halinen, Henri (2015)
    Objectives of the study Depression is one of the greatest factors to decrease the quality of life. However, its etiology has no clear scientific base. It has been thought that depression is a latent variable, but this view has been questioned. According to the network approach stressful life events are directly linked to depressive symptoms without a latent variable. Body image dissatisfaction is a more long-lasting and stable depressive symptom than the other symptoms. In addition, body image dissatisfaction predicts depression, but depression does not predict body image dissatisfaction. It is probable that body image dissatisfaction is linked to appearance. In this study I examine if different adverse effects of unattractive appearance are associated with body image dissatisfaction, when the level of depression is controlled. If this is true it would indicate that body image dissatisfaction cannot be explained by one-dimensional depression. In this study the adverse effects of unattractive appearance were low income level and living alone, which are both linked to unattractive appearance according to previous studies. Methods In this study there were 1638–2969 participants depending on the analysis. The Cardiovascular Risk in Young Finns Study was used as the research material. Item response theory model and logistic regression were used to examine differential item functioning (DIF) in this study. DIF appears when an item of some latent variable has different scores in different groups even if the groups have the same score in the latent variable. Therefore I examined if equally depressed people do differ in body image dissatisfaction if they belong to the low income or living alone groups. Results and conclusions According to this study it is possible that depression is not a one-dimensional phenomenon. Low income level and living alone were inked to depressive symptoms and body image dissatisfaction. In addition, income level was associated differently to body image dissatisfaction than other depressive symptoms [χ² = 459.01, P < 0.001]. Living alone was not. Regardless, questioning the one-dimensionality of depression demands same kind of examination of other depressive symptoms in the future research.
  • Virtanen, Suvi (2016)
    Depression is a psychiatric disorder composed of several clusters of symptoms, which do not necessarily reflect common pathways of pathophysiological processes. Thus, a new conceptualization of depression has been proposed, which suggests that depression should be dissected to its key components instead of treating it as one homogeneous concept. Personality trait neuroticism is a risk factor that is consistently linked with depression. Several models have been suggested for the association between neuroticism and depression. One of them is a so-called common cause -model, which assumes that a shared etiology explains the co-occurrence of the two. Research from twin studies supports this notion, as neuroticism and depression have been found to share a large proportion of their genetic basis. However, earlier research has examined depression as a composite concept, and there are no studies to date which would have examined the shared genetic basis of specific symptoms of depression in relation with neuroticism. This study tests the common cause -model by estimating, whether the same genetic and environmental components are relevant in explaining the covariation between neuroticism and specific symptoms of depression. The data used in this study was from the Swedish Adoption/Twin Study (n = 1515, av. age = 62.0). Depression was measured with The Center for Epidemiological Studies - Depression Scale (CES-D), and separate analyses were conducted for three factors: somatic complaints, (lack of) positive affect and depressed affect. The results showed that all of the depressive symptoms shared the same genetic and environmental components when modeling the association with neuroticism, which supports the common cause -model. Over a half of the phenotypic correlation was explained by genetic influences between neuroticism and somatic complaints, as well as neuroticism and positive affect. Half of the co-variation between neuroticism and depressed affect was due to genetic influences. Findings of the current study suggest, that genetic and individual specific environmental influences are important in explaining the relationship in all of the symptoms. For future endeavors, it is suggested to search for concrete risk factors and neurobiological endophenotypes that are shared between specific symptoms and neuroticism. While the use of composite concept of depression was supported in this study, the research question has not been yet examined in molecular genetic studies. A twin model can only differentiate sources of variation, not concrete risk factors. Thus, the results presented here only apply in the context of twin modeling. Also, the robustness of the results should be tested by replicating the results among younger samples.
  • Heikkilä, Lotta (2016)
    Objective. Depression is a prevalent mental disorder with negative impact on health and well-being. After decades of research, there remains a need for a better understanding of its etiology and developing its treatment. Network theory views depression as a heterogeneous system, as opposed to a unidimensional, latent factor that causes its symptoms. In network theory, depressive symptoms are assumed to differ in their risk factors, such as personality traits. High neuroticism is a well-known risk factor for depression while extraversion and conscientiousness protect from it. However, only a few studies have examined personality traits as risk factors for individual depressive symptoms. The purpose of this study was to examine whether individual depressive symptoms are predicted by different personality traits. Depressive symptoms were assumed to vary in their risk and protective factors. The connections were assumed to remain when controlling for the latent depression factor. Methods. The data used was a part of the Wisconsin Longitudinal Study (WLS) (N = 4852). Depressive symptoms were measured with CES-D (The Center for Epidemiological Studies - Depression Scale), which consists of 20 symptoms. Personality was measured with an abbreviated version of BFI-54 (Big Five Inventory). Personality was assessed in 1993 and depressive symptoms in 2004. Associations between personality traits and individual depressive symptoms were examined with ordinal regression analyses. To test whether the connections were locally independent of latent depression, an ordinal regression procedure for detecting differential item functioning (DIF) was used. Results and conclusions. Depressive symptoms differed in their personality risk and protective factors. Connections between personality traits and depressive symptoms could not be explained by a latent depression factor. High neuroticism was a risk factor while extraversion and conscientiousness were protective factors for several central and common symptoms of depression. Also openness to experience and agreeableness mostly protected from some depressive symptoms. The results apply to less severe depressive symptoms in the general population and support earlier findings of depressive symptoms having qualitative differences. Deeper knowledge on the risk and protective factors of individual depressive symptoms can contribute to the development of more specific methods for preventing and treating depression.