Psykologia

Psykologian pääkokoelma sijaitsee pääkirjastossa (Linnassa), jossa painettu yleis- ja käsikirjastokokoelma koostuu noin 7200 nimekkeestä monografioita (painettujen monografiasarjojen osat mukaan lukien). Psykologia-kokoelmasta noin 2/3 käsitteli psykologian erikoisaloja ja 1/3 yleistä psykologiaa. Molemmista ryhmistä kartoitettiin kaksi osa-aluetta. Kehitys- ja lapsipsykologiaa käsitteli noin 1/5 kirjoista (1445 nimekettä), joten se oli selvin painopisteala. Kognitiivista & oppimisen psykologiaa käsitteli 14,6 % kirjoista (1050 nimekettä). Persoonallisuuden psykologian (9,5 % / 683 nimekettä) sekä tunteiden & emootioiden (5,6 % / 400 nimekettä) osuudet kirjakokoelmasta olivat pienehköjä. Käsikirjaston karsitussa noin 100 nimekkeen kokoelmassa on hakuteoksia, sanastoja, bibliografioita jne. Painettuja lehtiä oli 11 nimekettä (Behavior Analyst, Cognition and Emotion, Mielenterveys, Perceptual and Motor Skills, Perheterapia, Psychological Reports, Psychotherapy Research, Psykologi, Psykologia, Ryhmätyö ja Voltti). Sähkökirjoja kokoelmassa oli 22 nimekettä NetLibrary-tietokannassa, noin 487 nimekettä Ebrary-tietokannassa sekä 3 nimekettä sähköisinä hakuteoksina (Encyclopedia of Applied Psychology, International Encyclopedia of the Social and Behavioral Sciences ja A Dictionary of Psychology). Verkkolehtiä kokoelmassa oli noin 450 nimekettä. Tietokantoja oli 4 kokotekstitietokantaa (PsycArticles, EbscoHost Academic Search Premier, Elsevier ScienceDirect ja Annual Reviews: Social Sciences) sekä 3 viitetietokantaa (PsycINFO, PsiTri ja Social Sciences Citation Index).

Linguistic models for decision support

Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.

Ilmiöiden jäljillä

Kirjallisuusarvostelu

Maan korvessa kulkevi – Evakkolasten kasvukokemusten tunnemuistot ja hyvinvointi

Tutkimus tarkastelee luovutetusta Karjalasta lähtöisin olevien evakkolasten tunnemuistoja ja niiden yhteyttä myöhempään hyvinvointiin. Keskiössä ovat koti- ja koulukasvatusta muistelevien ikäihmisten kokemukset. Tutkimus on kasvatushistoriallinen ja tieteidenvälinen. Se liikkuu historian sekä yhteiskunta- ja käyttäytymistieteiden rajapinnoilla. Aineiston 631 kyselyvastausta ja 11 haastattelua on analysoitu monimetodisesti tilastollisen ja sisällön analyysin avulla. Tulosten mukaan ikääntyvät evakkolapset voivat pääsääntöisesti hyvin. He ovat kotikasvatuksessaan omaksuneet vahvat selviytymis- ja sopeutumistaidot sekä sisukkuuden. Kodin kasvatusilmapiiri on menetyksistä huolimatta koettu turvalliseksi. Kasvatuksessa omaksutuissa sananlaskuissa korostuu vahvimmin tulevaisuuden toivosta kiinni pitäminen. Kasvatusmetodit myötäilevät suomalaista kasvatustraditiota, jossa lapsia on enimmäkseen palkittu hyvästä työstä sanallisesti ja rangaistu tottelemattomuudesta ruumiillisesti. Surua ja menetyksiä on käsitelty vaikenemalla. Yhdeksi elämää kannattelevaksi voimaksi ovat osoittautuneet laulut, joista suosituin oli Maan korvessa kulkevi lapsosen tie. Kasvatusperintönä evakkolapset haluavat jättää mallin työteliäästä, rehellisestä, toiset huomioivasta ja juuristaan tietoisesta kansalaisesta. Koulukokemusten osalta tutkimus osoittaa kantaväestöstä poikkeavan uskonnollisen ja kielellisen taustan olleen merkittävin syrjityksi tulemisen syy. Ortodoksitaustaisilla lapsilla oli muita evakkolapsia enemmän kiusaamiskokemuksia. Metaforien avulla kuvatuista tunnemuistoista löytyi kuusi erilaista selviytyjätyyppiä: selviytyjäsankarit, identiteetin etsijät, optimistiset toimijat, trauman työstäjät, kohtalonsa hyväksyjät ja menetysten kantajat. Valtaosa evakkolapsista kuuluu positiivista tunnemuistoa kantavien ryhmään. Kielteisillä tunnemuistoilla on tilastollisesti merkitsevä negatiivinen yhteys ikääntyvän hyvinvointiin. Tutkimus lisää ymmärrystä evakkolasten kasvukokemuksista ja tarjoaa uutta tietoa heidän selviytymisestään ja hyvinvoinnistaan. Tutkimus osoittaa evakkolasten tasapainoisen kotikasvatuksen, vastavuoroisten vertaissuhteiden ja suositun oppilaan aseman vahvistavan yhteisöön kuulumista ja sosiaalista pystyvyyttä sekä olevan hyvinvoinnin positiivisia tekijöitä. Kodin melankolisuudella, eristyneisyydellä ja koulukiusaamisella on negatiivinen yhteys hyvinvointiin. Tuloksia voidaan soveltaa nykypäivän pakolaislasten kotouttamiseen, jossa ensiarvoisen tärkeää on perheiden osallisuuden ja integroitumisen tukeminen uudessa ympäristössä. Tämän onnistumiseksi on tärkeää huomioida lasten yksilölliset selviytymisstrategiat ja käsitellä kodin menetystraumaa.

Promoting Healthy Lifestyles with Personalized, APOE Genotype Based Health Information: The Effects on Psychological-, Health Behavioral and Clinical Factors

There is an increasing demand for individualized, genotype-based health advice. The general population-based dietary recommendations do not always motivate people to change their life-style, and partly following this, cardiovascular diseases (CVD) are a major cause of death in worldwide. Using genotype-based nutrition and health information (e.g. nutrigenetics) in health education is a relatively new approach, although genetic variation is known to cause individual differences in response to dietary factors. Response to changes in dietary fat quality varies, for example, among different APOE genotypes. Research in this field is challenging, because several non-modifiable (genetic, age, sex) and modifiable (e.g. lifestyle, dietary, physical activity) factors together and with interaction affect the risk of life-style related diseases (e.g. CVD). The other challenge is the psychological factors (e.g. anxiety, threat, stress, motivation, attitude), which also have an effect on health behavior. The genotype-based information is always a very sensitive topic, because it can also cause some negative consequences and feelings (e.g. depression, increased anxiety). The aim of this series of studies was firstly to study how individual, genotype-based health information affects an individual’s health form three aspects, and secondly whether this could be one method in the future to prevent lifestyle-related diseases, such as CVD. The first study concentrated on the psychological effects; the focus of the second study was on health behavior effects, and the third study concentrated on clinical effects. In the fourth study of this series, the focus was on all these three aspects and their associations with each other. The genetic risk and health information was the APOE gene and its effects on CVD. To study the effect of APOE genotype-based health information in prevention of CVD, a total of 151 volunteers attended the baseline assessments (T0), of which 122 healthy adults (aged 20 – 67 y) passed the inclusion criteria and started the one-year intervention. The participants (n = 122) were randomized into a control group (n = 61) and an intervention group (n = 61). There were 21 participants in the intervention Ɛ4+ group (including APOE genotypes 3/4 and 4/4) and 40 participants in the intervention Ɛ4- group (including APOE genotypes 2/3 and 3/3). The control group included 61 participants (including APOE genotypes 3/4, 4/4, 2/3, 3/3 and 2/2). The baseline (T0) and follow-up assessments (T1, T2, T3) included detailed measurements of psychological (threat and anxiety experience, stage of change), and behavioral (dietary fat quality, consumption of vegetables, - high fat/sugar foods and –alcohol, physical activity and health and taste attitudes) and clinical factors (total-, LDL- HDL cholesterol, triglycerides, blood pressure, blood glucose (0h and 2h), body mass index, waist circumference and body fat percentage). During the intervention six different communication sessions (lectures on healthy lifestyle and nutrigenomics, health messages by mail, and personal discussion with the doctor) were arranged. The intervention groups (Ɛ4+ and Ɛ4-) received their APOE genotype information and health message at the beginning of the intervention. The control group received their APOE genotype information after the intervention. For the analyses in this dissertation, the results for 106/107 participants were analyzed. In the intervention, there were 16 participants in the high-risk (Ɛ4+) group and 35 in the low-risk (Ɛ4-) group. The control group had 55 participants in studies III-IV and 56 participants in studies I-II. The intervention had both short-term (≤ 6 months) and long-term (12 months) effects on health behavior and clinical factors. The short-term effects were found in dietary fat quality and waist circumference. Dietary fat quality improved more in the Ɛ4+ group than the Ɛ4- and the control groups as the personal, genotype-based health information and waist circumference lowered more in the Ɛ4+ group compared with the control group. Both these changes differed significantly between the Ɛ4+ and control groups (p<0.05). A long-term effect was found in triglyceride values (p<0.05), which lowered more in Ɛ4+ compared with the control group during the intervention. Short-term effects were also found in the threat experience, which increased mostly in the Ɛ4+ group after the genetic feedback (p<0.05), but it decreased after 12 months, although remaining at a higher level compared to the baseline (T0). In addition, Study IV found that changes in the psychological factors (anxiety and threat experience, motivation), health and taste attitudes, and health behaviors (dietary, alcohol consumption, and physical activity) did not directly explain the changes in triglyceride values and waist circumference. However, change caused by a threat experience may have affected the change in triglycerides through total- and HDL cholesterol. In conclusion, this dissertation study has given some indications that individual, genotypebased health information could be one potential option in the future to prevent lifestyle-related diseases in public health care. The results of this study imply that personal genetic information, based on APOE, may have positive effects on dietary fat quality and some cardiovascular risk markers (e.g., improvement in triglyceride values and waist circumference). This study also suggests that psychological factors (e.g. anxiety and threat experience) may not be an obstacle for healthy people to use genotype-based health information to promote healthy lifestyles. However, even in the case of very personal health information, in order to achieve a permanent health behavior change, it is important to include attitudes and other psychological factors (e.g. motivation), as well as intensive repetition and a longer intervention duration. This research will serve as a basis for future studies and its information can be used to develop targeted interventions, including health information based on genotyping that would aim at preventing lifestyle diseases. People’s interest in personalized health advices has increased, while also the costs of genetic screening have decreased. Therefore, generally speaking, it can be assumed that genetic screening as a part of the prevention of lifestyle-related diseases may become more common in the future. In consequence, more research is required about how to make genetic screening a practical tool in public health care, and how to efficiently achieve long-term changes.