@misc{PietrekKangasKliegletal.2022, author = {Pietrek, Anou F. and Kangas, Maria and Kliegl, Reinhold and Rapp, Michael Armin and Heinzel, Stephan and Van der Kaap-Deeder, Jolene and Heissel, Andreas}, title = {Basic psychological need satisfaction and frustration in major depressive disorder}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Gesundheitswissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Gesundheitswissenschaftliche Reihe}, number = {8}, doi = {10.25932/publishup-58226}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-582269}, pages = {10}, year = {2022}, abstract = {Basic psychological needs theory postulates that a social environment that satisfies individuals' three basic psychological needs of autonomy, competence, and relatedness leads to optimal growth and well-being. On the other hand, the frustration of these needs is associated with ill-being and depressive symptoms foremost investigated in non-clinical samples; yet, there is a paucity of research on need frustration in clinical samples. Survey data were compared between adult individuals with major depressive disorder (MDD; n = 115; 48.69\% female; 38.46 years, SD = 10.46) with those of a non-depressed comparison sample (n = 201; 53.23\% female; 30.16 years, SD = 12.81). Need profiles were examined with a linear mixed model (LMM). Individuals with depression reported higher levels of frustration and lower levels of satisfaction in relation to the three basic psychological needs when compared to non-depressed adults. The difference between depressed and non-depressed groups was significantly larger for frustration than satisfaction regarding the needs for relatedness and competence. LMM correlation parameters confirmed the expected positive correlation between the three needs. This is the first study showing substantial differences in need-based experiences between depressed and non-depressed adults. The results confirm basic assumptions of the self-determination theory and have preliminary implications in tailoring therapy for depression.}, language = {en} } @article{PietrekKangasKliegletal.2022, author = {Pietrek, Anou F. and Kangas, Maria and Kliegl, Reinhold and Rapp, Michael Armin and Heinzel, Stephan and Van der Kaap-Deeder, Jolene and Heissel, Andreas}, title = {Basic psychological need satisfaction and frustration in major depressive disorder}, series = {Frontiers in Psychiatry - Mood Disorders}, journal = {Frontiers in Psychiatry - Mood Disorders}, publisher = {Frontiers Media S.A.}, address = {Lausanne, Schweiz}, issn = {1664-0640}, doi = {10.3389/fpsyt.2022.962501}, pages = {1 -- 10}, year = {2022}, abstract = {Basic psychological needs theory postulates that a social environment that satisfies individuals' three basic psychological needs of autonomy, competence, and relatedness leads to optimal growth and well-being. On the other hand, the frustration of these needs is associated with ill-being and depressive symptoms foremost investigated in non-clinical samples; yet, there is a paucity of research on need frustration in clinical samples. Survey data were compared between adult individuals with major depressive disorder (MDD; n = 115; 48.69\% female; 38.46 years, SD = 10.46) with those of a non-depressed comparison sample (n = 201; 53.23\% female; 30.16 years, SD = 12.81). Need profiles were examined with a linear mixed model (LMM). Individuals with depression reported higher levels of frustration and lower levels of satisfaction in relation to the three basic psychological needs when compared to non-depressed adults. The difference between depressed and non-depressed groups was significantly larger for frustration than satisfaction regarding the needs for relatedness and competence. LMM correlation parameters confirmed the expected positive correlation between the three needs. This is the first study showing substantial differences in need-based experiences between depressed and non-depressed adults. The results confirm basic assumptions of the self-determination theory and have preliminary implications in tailoring therapy for depression.}, language = {en} } @article{SchlaegelSignerHerdeetal.2019, author = {Schl{\"a}gel, Ulrike E. and Signer, Johannes and Herde, Antje and Eden, Sophie and Jeltsch, Florian and Eccard, Jana and Dammhahn, Melanie}, title = {Estimating interactions between individuals from concurrent animal movements}, series = {Methods in ecology and evolution : an official journal of the British Ecological Society}, volume = {10}, journal = {Methods in ecology and evolution : an official journal of the British Ecological Society}, number = {8}, publisher = {Wiley}, address = {Hoboken}, issn = {2041-210X}, doi = {10.1111/2041-210X.13235}, pages = {1234 -- 1245}, year = {2019}, abstract = {Animal movements arise from complex interactions of individuals with their environment, including both conspecific and heterospecific individuals. Animals may be attracted to each other for mating, social foraging, or information gain, or may keep at a distance from others to avoid aggressive encounters related to, e.g., interference competition, territoriality, or predation. With modern tracking technology, more datasets are emerging that allow to investigate fine-scale interactions between free-ranging individuals from movement data, however, few methods exist to disentangle fine-scale behavioural responses of interacting individuals when these are highly individual-specific. In a framework of step-selection functions, we related movements decisions of individuals to dynamic occurrence distributions of other individuals obtained through kriging of their movement paths. Using simulated data, we tested the method's ability to identify various combinations of attraction, avoidance, and neutrality between individuals, including asymmetric (i.e. non-mutual) behaviours. Additionally, we analysed radio-telemetry data from concurrently tracked small rodents (bank vole, Myodes glareolus) to test whether our method could detect biologically plausible behaviours. We found that our method was able to successfully detect and distinguish between fine-scale interactions (attraction, avoidance, neutrality), even when these were asymmetric between individuals. The method worked best when confounding factors were taken into account in the step-selection function. However, even when failing to do so (e.g. due to missing information), interactions could be reasonably identified. In bank voles, responses depended strongly on the sexes of the involved individuals and matched expectations. Our approach can be combined with conventional uses of step-selection functions to tease apart the various drivers of movement, e.g. the influence of the physical and the social environment. In addition, the method is particularly useful in studying interactions when responses are highly individual-specific, i.e. vary between and towards different individuals, making our method suitable for both single-species and multi-species analyses (e.g. in the context of predation or competition).}, language = {en} }