Background. For many years, poor oral hygiene and frequent consumption of sugars is known as key behavioral risk factors for oral diseases, such as dental caries and periodontal disease. Parental attitudes toward children’s oral health could be associated with their own oral health skills. We aimed to analyze associations between parental skills and attitudes toward caries development and possibilities to control positive oral health behavior in their children. Material and methods. A cross-sectional study involved 550 parents of 3- to 4-year-old children. A 40-item questionnaire was developed from the Theory of Planned Behavior, Health Belief Model and the Health Locus of Control model, and parental attitudes toward dental caries in their children were analyzed. Results. A total of 397 filled-in questionnaires were collected; the response rate was 72%. Parents with good own oral hygiene skills significantly more often understood the importance of brushing their children’s teeth (χ2=29.8; df=1; P<0.001). Study results highlighted also significant differences in importance to prevent tooth decay (χ2=3.1; df=1; P=0.051), importance to control sugar snacking (χ2=10.6; df=1; P=0.001), and parental perceived seriousness of tooth decay in children (χ2=9.2; df=1; P=0.002) comparing parents with poor and good oral hygiene skills. Differences in parental efficacy to control proper toothbrushing and parental efficacy to control sugar snacking in children were not significant comparing both groups. Conclusions. More than half (61%) of the parents have reported appropriate own oral hygiene skills. Parental attitudes toward children’s oral health were significantly associated with their own oral health behavior and understanding the importance of development of oral hygiene skills in their children.

Background. The evaluation of quality of life and self-perceived health represents an assessment of the impact of treatment on patient functioning and well-being. Objective. Our aim was to explore the impact of methadone maintenance treatment on quality of life and self-perceived health of opioid-dependent persons in Lithuania. Methods. A total of 102 opioid-dependent patients were recruited in the study. A prospective follow-up study design was used. To assess quality of life, the WHOQOL-BREF 26-item version was used. The impact of methadone maintenance treatment on self-perceived health was assessed by Opiate Treatment Index (OTI). Results. Following 6 months of methadone maintenance treatment, significant improvements in physical (P=0.004), psychological (P=0.004), and environmental (P=0.048) components of quality of life were observed; no statistically significant improvements were found in social component of quality of life. Study participants reported lower rates of medical morbidity associated with injection (P<0.001), cardiorespiratory (P=0.034), musculoskeletal (P<0.001), neurological (P=0.013), gastrointestinal (P<0.001), and general health (P<0.001). Conclusions. Methadone maintenance treatment substantially reduces morbidity associated with opioid dependence and improves the quality of life of patients.

We use past experiences every day when we choose one therapy over another; we frequently base our decisions on the relative probability that a particular treatment will be successful in an individual patient. Preoperative risk score systems are an essential tool for risk assessment in cardiac surgery. If we use just any risk stratification we will make diagnostic errors. During the last decade the examination of the performance of cardiac surgery risk stratification systems became very popular. There are a lot of studies, which show that risk stratification systems have high predictive value but they overpredict mortality rates for sample population. When reading these articles it is unclear what influences the mortality overprediction? We review main principles of receiver operating characteristic curve use for risk stratification systems' performance assessment and describe basic statistical explanations regarding errors in mortality prediction.

Our study highlighted statistically significant differences in QoL between cancer stages and treatment. Understanding how the QoL changes in relation with the selected treatment option can be important to the urologist and individual patient to have realistic expectations as well as to optimise treatment decisions for the prostate cancer patient when exist several alternatives.

Background. It is licely that illness perceptions can explain variations in quality of life of patients with prostate cancer across different treatment methods and stages. Therefore, the aim of this study was to determine if illness perception can explain variations in quality of life of patients with prostate cancer. Material and Methods. The cross-sectional national-level study was carried out. Quality of life was evaluated with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 and the Visual Analogue Scale. Illness perceptions were measured by the revised Illness Perception Questionnaire. Results. The response rate was 77.1% (N=501). The variation in global quality of life was explained (32.0%) by levels of emotional representation (β=–0.126; P=0.023) and consequences (β=–0.209; P<0.01); physical functioning (27.0%), by consequences (β=–0.203; P<0.01) and chemotherapy (β=–2.911; P=0.007); role functioning (37.0%), by emotional representations (β=–0.198; P<0.01), timeline cyclical (β=–0.209; P=0.014), and stage of the disease (β=–0.779; P=0.007); emotional functioning (43.0%), by emotional representations (β=–0.361; P<0.01) and education level (β=–0.566; P=0.025); cognitive functioning (34.0%), by educational level (β=0.714; P=0.005), emotional representations (β=–0.118; P=0.019), illness coherence (β=–0.167; P=0.030), consequences (β=–0.187; P=0.001), and hormonal therapy (β=–0.778; P=0.049); and social functioning (39.0%), by consequences (β=–0.320; P<0.01) and combined treatment (β=–1.492; P=0.016). Conclusions. Illness perceptions may be important while investigating quality of life in patients with prostate cancer. It may underlie quality-of-life differences in this group of patients and could inform decision makers about the importance of the provision of psychosocial services to patients with prostate cancer.