Ravintoa keholle, ruokaa mielelle : vertailututkimus pohjoismaisten nuorten ruokatottumuksista kotona ja koulussa

Aims. The main meals that youngsters have during the day are eaten at home and at school. In the Nordic countries breakfast and supper are often eaten with other members of the family. The way that Nordic countries arrange the school lunch and the frequency of family meals differ between countries. However, the challenges related to eating habits of the young are surprisingly similar. The aim of this study is to discuss how the Nordic countries could support youngsters’ healthy eating habits. This study was carried out as a part of a Nordic research project and it completed the work done by Kauppinen (2009) and Niemi (2009) in their Master’s Theses. The research questions are: 1. How do the youngsters evaluate their own eating habits and those of their family? 2. How do the youngsters evaluate the influence of home, family and school on their own eating habits? 3. What kind of relationship exists between eating at home and at school according to the data? Data and methods. A quantitative internet-based survey was used to collect data (N=1539) on the 9th graders conceptions and understandings. The survey consisted of respondents from Finland (N=586), Sweden (N=427), Denmark (N=295) and Norway (N=246). In this study the whole data to the appropriate extent was analyzed. The analysis was done with the SPSS-software and included examination of means, standard deviations, cross-tabulations, Pearson´s correlations, Chi-squared -tests, t-tests and one-way analysis of variance (ANOVA). The results were compaired between the countries and between sexes. Results and discussion. The studied youngsters evaluated their own eating habits positively. There were statistically signifigant differences (p< .05) between countries concerning the people who influence the youngsters’ healthy eating habits. Youngsters from Finland and Sweden considered making healthy choices at school easier than those from Denmark and Norway. Also eating a so called healthy lunch at school was more common in Finland and in Sweden. Eating breakfast and eating a healthy meal at school had a statistically significant interconnection (p< .001). The differences between sexes were not equal between the countries. The results supported those from previous studies, but also raised ideas for further study. Youngsters’ near environments should support their possibilities to make healthy choices and to participate to the decicion making process. Co-operation between the Nordic countries and between the home and the school is important. Listening to the youngsters’ own voice is a challence and a possibility for developing both home economics education and research in this area. Key words: Nordic countries, youngsters, healthy eating habits, eating at home, school meals

Land leasing, land degradation and agricultural productivity in Finland

This study analysed whether the land tenure insecurity problem has led to a decline in long-term land improvements (liming and phosphorus fertilization) under the Common Agricultural Policy (CAP) and Nordic production conditions in European Union (EU) countries such as Finland. The results suggests that under traditional cash lease contracts, which are encouraged by the existing land leasing regulations and agricultural subsidy programs, the land tenure insecurity problem on leased land reduces land improvements that have a long pay-back period. In particular, soil pH was found to be significantly lower on land cultivated under a lease contract compared to land owned by the farmers themselves. The results also indicate that land improvements could not be reversed by land markets, because land owners would otherwise have carried out land improvements even if not farming by themselves. To reveal the causality between land tenure and land improvements, the dynamic optimisation problem was solved by a stochastic dynamic programming routine with known parameters for one-period returns and transition equations. The model parameters represented Finnish soil quality and production conditions. The decision rules were solved for alternative likelihood scenarios over the continuation of the fixed-term lease contract. The results suggest that as the probability of non-renewal of the lease contract increases, farmers quickly reduce investments in irreversible land improvements and, thereafter, yields gradually decline. The simulations highlighted the observed trends of a decline in land improvements on land parcels that are cultivated under lease contracts. Land tenure has resulted in the neglect of land improvement in Finland. This study aimed to analyze whether these challenges could be resolved by a tax policy that encourages land sales. Using Finnish data, real estate tax and a temporal relaxation on the taxation of capital gains showed some potential for the restructuring of land ownership. Potential sellers who could not be revealed by traditional logit models were identified with the latent class approach. Those landowners with an intention to sell even without a policy change were sensitive to temporal relaxation in the taxation of capital gains. In the long term, productivity and especially productivity growth are necessary conditions for the survival of farms and the food industry in Finland. Technical progress was found to drive the increase in productivity. The scale had only a moderate effect and for the whole study period (1976–2006) the effect was close to zero. Total factor productivity (TFP) increased, depending on the model, by 0.6–1.7% per year. The results demonstrated that the increase in productivity was hindered by the policy changes introduced in 1995. It is also evidenced that the increase in land leasing is connected to these policy changes. Land institutions and land tenure questions are essential in agricultural and rural policies on all levels, from local to international. Land ownership and land titles are commonly tied to fundamental political, economic and social questions. A fair resolution calls for innovative and new solutions both on national and international levels. However, this seems to be a problem when considering the application of EU regulations to member states inheriting divergent landownership structures and farming cultures. The contribution of this study is in describing the consequences of fitting EU agricultural policy to Finnish agricultural land tenure conditions and heritage.

Preterm delivery and selected biomarkers : phosphorylated insulin-like growth factor-binding protein-1 and matrix metalloproteinase-8 – in cervical fluid

Premature delivery is a major cause of neonatal morbidity and mortality. The incidence of premature deliveries has increased around the world. In Finland 5.3%, or about 3,000 children per year are born prematurely, before 37 weeks of gestation. The corresponding figure in the United States is about 13%. The morbidity and mortality are highest among infants delivered before 32 weeks of gestation - about 600 children each year in Finland. Approximately 70% of premature deliveries are unexplained. Preterm delivery can be caused by an asympto-matic infection between uterus and the fetal membranes, such can begin already in early pregnancy. It is difficult to predict preterm delivery, and many patients are therefore unnecessarily admitted to hospital for observation and exposed to medical treatments. On the other hand, the high risk women should be identified early for the best treatment of the mother and preterm infant. --- In the prospective study conducted at the Department of Obstetric and Gynecology, Helsinki University Central Hospital two biochemical inflammation related markers were measured in the lower genital tract fluids of asymp-tomatic women in early and mid pregnancy in an order to see whether these markers could identify women with an increased risk of preterm delivery. These biomarkers were phosphorylated insulin-like growth factor binding protein-1 (phIGFBP-1) and matrix metalloproteinase-8 (MMP-8). The study involved 5180 asymptomatic pregnant women, examined during the first and second ultrasound screening visits. The study samples were taken from the vagina and cervicix. In addition, 246 symptomatic women were studied (pregnancy weeks 22 – 34). The study showed that increased phIGFBP-1 concentration in cervical canal fluid in early pregnancy increased the risk for preterm delivery. The risk for very premature birth (before 32 weeks of gestation) was nearly four-fold. Low MMP-8 concentration in mid pregnancy increased the risk of subsequent premature preterm rupture of fetal membranes (PPROM). Significantly high MMP-8 concentrations in the cervical fluid increased the risk for prema-ture delivery initiated by preterm labour with intact membranes. Among women with preterm contractions the shortened cervical length measured by ultrasound and elevated cervical fluid phIGFBP-1 both predicted premature delivery. In summary, because of the relatively low sensitivity of cervical fluid phIGFBP-1 this biomarker is not suitable for routine screening, but provides an additional tool in assessing the risk of preterm delivery. Cervical fluid MMP-8 is not useful in early or mid pregnancy in predicting premature delivery because of its dual role. Further studies on the role of MMP-8 are therefore needed. Our study confirms that phIGFBP-1 testing is useful in predicting pre-term delivery.

Cyclosporine A in the treatment of Interstitial Cystitis

Painful bladder syndrome/interstitial cystitis (PBS/IC) is a chronic urinary bladder disorder of unknown etiology characterized by symptoms of bladder pain and urinary frequency. PBS/IC is a chronic disease in which drug therapy has not led to significant success over the course of time. If the symptoms of PBS/IC are refractory to standard treatments, a possible cure might demand surgical intervention involving cystectomy. The eventual autoimmune etiology in mind, immunosuppressive drug therapy with cyclosporine A (CyA) was started to patients with refractory PBS/IC. CyA is a potent anti-inflammatory drug, a calcineurin inhibitor which inhibits T lymphocyte IL-2 produc-tion. T cells are present in abundance in inflammation of the bladder in PBS/IC. On the basis of a pilot, short-term study with CyA on PBS/IC, use of CyA was continued empirically over the long term. We conducted a prospective, randomized, six-month study in 64 patients comparing the effect of CyA with the FDA approved treatment, pentosan polysulfate sodium (PPS). We measured the drug effect on patient s symptoms, the potassium sensitivity test, and on urinary biomarkers. We further tested the impact of CyA, PPS, DMSO and BCG therapy on a health-related quality of life questionnaire and evaluated the response rate to treatment with these therapies. Long-term use of CyA was safe and effective in PBS/IC patients. The good clinical effect matured individually during the years in which CyA was continued. Cessation of medication led to the reappearance of symptoms, and restarting CyA to renewed alleviation, so that CyA was administered as continuous medication. The response rate to CyA increased during the study period, comprising 75% of CyA patients at six months. 19% of patients responded to PPS therapy. Adverse effects were more common in the CyA group, underlining the importance of monitoring the drug safety and appropriate titration of the dose. The potassium sensitivity test is positive in the majority of PBS/IC patients. Successful therapy of PBS/IC can alter nerve sensitivity to external potassium. This effect was seen more often after CyA therapy. Successful treatment of PBS/IC with CyA resulted to decreasing urinary levels of EGF. IL-6 levels in urine were higher among older patient with a longer history of PBS/IC. In these patients, reduced levels of urinary IL-6 were measured after CyA therapy. Patients who experience the best treatment response have improved quality of life according to the post-treatment health-related quality of life (HRQOL) questionnaire. CyA had more impact on the ma-jority of the aspects of QoL than PPS. Despite DMSO therapy being more successful than BCG in the count of responders, DMSO and BCG had equal effects on the HRQOL questionnaire.

An Empirical Investigation of Value-at-Risk in Long and Short Trading Positions

This paper uses the Value-at-Risk approach to define the risk in both long and short trading positions. The investigation is done on some major market indices(Japanese, UK, German and US). The performance of models that takes into account skewness and fat-tails are compared to symmetric models in relation to both the specific model for estimating the variance, and the distribution of the variance estimate used as input in the VaR estimation. The results indicate that more flexible models not necessarily perform better in predicting the VaR forecast; the reason for this is most probably the complexity of these models. A general result is that different methods for estimating the variance are needed for different confidence levels of the VaR, and for the different indices. Also, different models are to be used for the left respectively the right tail of the distribution.

Understorey vegetation as an indicator of forest site potential in Southern Finland.

The relationship between site characteristics and understorey vegetation composition was analysed with quantitative methods, especially from the viewpoint of site quality estimation. Theoretical models were applied to an empirical data set collected from the upland forests of southern Finland comprising 104 sites dominated by Scots pine (Pinus sylvestris L.), and 165 sites dominated by Norway spruce (Picea abies (L.) Karsten). Site index H100 was used as an independent measure of site quality. A new model for the estimation of site quality at sites with a known understorey vegetation composition was introduced. It is based on the application of Bayes' theorem to the density function of site quality within the study area combined with the species-specific presence-absence response curves. The resulting posterior probability density function may be used for calculating an estimate for the site variable. Using this method, a jackknife estimate of site index H100 was calculated separately for pine- and spruce-dominated sites. The results indicated that the cross-validation root mean squared error (RMSEcv) of the estimates improved from 2.98 m down to 2.34 m relative to the "null" model (standard deviation of the sample distribution) in pine-dominated forests. In spruce-dominated forests RMSEcv decreased from 3.94 m down to 3.16 m. In order to assess these results, four other estimation methods based on understorey vegetation composition were applied to the same data set. The results showed that none of the methods was clearly superior to the others. In pine-dominated forests, RMSEcv varied between 2.34 and 2.47 m, and the corresponding range for spruce-dominated forests was from 3.13 to 3.57 m.

Simulation and graph mining tools for improving gene mapping efficiency

Gene mapping is a systematic search for genes that affect observable characteristics of an organism. In this thesis we offer computational tools to improve the efficiency of (disease) gene-mapping efforts. In the first part of the thesis we propose an efficient simulation procedure for generating realistic genetical data from isolated populations. Simulated data is useful for evaluating hypothesised gene-mapping study designs and computational analysis tools. As an example of such evaluation, we demonstrate how a population-based study design can be a powerful alternative to traditional family-based designs in association-based gene-mapping projects. In the second part of the thesis we consider a prioritisation of a (typically large) set of putative disease-associated genes acquired from an initial gene-mapping analysis. Prioritisation is necessary to be able to focus on the most promising candidates. We show how to harness the current biomedical knowledge for the prioritisation task by integrating various publicly available biological databases into a weighted biological graph. We then demonstrate how to find and evaluate connections between entities, such as genes and diseases, from this unified schema by graph mining techniques. Finally, in the last part of the thesis, we define the concept of reliable subgraph and the corresponding subgraph extraction problem. Reliable subgraphs concisely describe strong and independent connections between two given vertices in a random graph, and hence they are especially useful for visualising such connections. We propose novel algorithms for extracting reliable subgraphs from large random graphs. The efficiency and scalability of the proposed graph mining methods are backed by extensive experiments on real data. While our application focus is in genetics, the concepts and algorithms can be applied to other domains as well. We demonstrate this generality by considering coauthor graphs in addition to biological graphs in the experiments.