Minu elu kunstis

https://www.ester.ee/record=b5237529*es

Relationships between life satisfaction and personality at the level of facets and specific nuances

Käesolevas töös uuriti Suure Viisiku isiksuseseadumuste ja eluga rahulolu seoseid. Eesmärgiks oli välja selgitada, millised Neurootilisuse ning Ekstravertsuse alaskaalad ja väited ennustavad kõige paremini indiviidi eluga rahulolu. Valim pärineb Eesti Geenivaramu ja Tartu Ülikooli psühholoogia instituudi koostööprojektist. Aastatel 2009-2015 täitsid 3592 inimest isiksuseküsimustiku NEO-PI-3 enesekohase versiooni koos eluga rahulolu väidetega ning palusid hiljem mõnel oma tuttaval või lähedasel (n = 3237) täita sama küsimustiku enda kohta. Regressioonianalüüsi tulemustest selgus, et eluga rahulolu hinnangutega on kõige tugevamalt seotud E6: Rõõmsameelsuse alaskaala väide, mis kirjeldab suure rõõmu tundmist (positiivne seos) ning N3: Masenduse alaskaala väide, mille sisuks on üksinduse tundmine (negatiivne seos)

Loodusteaduste õpetajate kogemused jätkusuutlike teemade õpetamisel vastutustundliku teaduse ja innovatsiooni kontekstis

https://www.ester.ee/record=b5364121*es

Koolieelses eas laste mitmekülgset arengut toetav õppematerjal looduskeskkonnas kasutamiseks

https://www.ester.ee/record=b5508396*es

Factors associated with small aggressive non-small cell lung cancers in the national lung screening trial: A validation study

Abstract Background A small proportion of non–small cell lung cancers (NSCLCs) have been observed to spread to distant lymph nodes (N3) or metastasize (M1) or both, while the primary tumor is small (≤3 cm, T1). These small aggressive NSCLCs (SA-NSLSC) are important as they are clinically significant, may identify unique biologic pathways, and warrant aggressive follow-up and treatment. This study identifies factors associated with SA-NSCLC and attempts to validate a previous finding that women with a family history of lung cancer are at particularly elevated risk of SA-NSCLC. Methods This study used a case–case design within the National Cancer Institute’s National Lung Screening Trial (NLST) cohort. Case patients and “control” patients were selected based on TNM staging parameters. Case patients (n = 64) had T1 NSCLCs that were N3 or M1 or both, while “control” patients (n = 206) had T2 or T3, N0 to N2, and M0 NSCLCs. Univariate and multivariable logistic regression were used to identify factors associated with SA-NSCLC. Results In bootstrap bias–corrected multivariable logistic regression models, small aggressive adenocarcinomas were associated with a positive history of emphysema (odds ratio [OR] = 5.15, 95% confidence interval [CI] = 1.63 to 23.00) and the interaction of female sex and a positive family history of lung cancer (OR = 6.55, 95% CI = 1.06 to 50.80). Conclusions Emphysema may play a role in early lung cancer progression. Females with a family history of lung cancer are at increased risk of having small aggressive lung adenocarcinomas. These results validate previous findings and encourage research on the role of female hormones interacting with family history and genetic factors in lung carcinogenesis and progression

Lung Screening Benefits and Challenges: A Review of The Data and Outline for Implementation

Lung cancer is the leading cause of cancer-related deaths worldwide, accounting for almost a fifth of all cancer-related deaths. Annual computed tomographic lung cancer screening (CTLS) detects lung cancer at earlier stages and reduces lung cancer-related mortality among high-risk individuals. Many medical organizations, including the U.S. Preventive Services Task Force, recommend annual CTLS in high-risk populations. However, fewer than 5% of individuals worldwide at high risk for lung cancer have undergone screening. In large part, this is owing to delayed implementation of CTLS in many countries throughout the world. Factors contributing to low uptake in countries with longstanding CTLS endorsement, such as the United States, include lack of patient and clinician awareness of current recommendations in favor of CTLS and clinician concerns about CTLS-related radiation exposure, false-positive results, overdiagnosis, and cost. This review of the literature serves to address these concerns by evaluating the potential risks and benefits of CTLS. Review of key components of a lung screening program, along with an updated shared decision aid, provides guidance for program development and optimization. Review of studies evaluating the population considered "high-risk" is included as this may affect future guidelines within the United States and other countries considering lung screening implementation

Comparative performance of lung cancer risk models to define lung screening eligibility in the United Kingdom

Abstract: Background: The National Health Service England (NHS) classifies individuals as eligible for lung cancer screening using two risk prediction models, PLCOm2012 and Liverpool Lung Project-v2 (LLPv2). However, no study has compared the performance of lung cancer risk models in the UK. Methods: We analysed current and former smokers aged 40–80 years in the UK Biobank (N = 217,199), EPIC-UK (N = 30,813), and Generations Study (N = 25,777). We quantified model calibration (ratio of expected to observed cases, E/O) and discrimination (AUC). Results: Risk discrimination in UK Biobank was best for the Lung Cancer Death Risk Assessment Tool (LCDRAT, AUC = 0.82, 95% CI = 0.81–0.84), followed by the LCRAT (AUC = 0.81, 95% CI = 0.79–0.82) and the Bach model (AUC = 0.80, 95% CI = 0.79–0.81). Results were similar in EPIC-UK and the Generations Study. All models overestimated risk in all cohorts, with E/O in UK Biobank ranging from 1.20 for LLPv3 (95% CI = 1.14–1.27) to 2.16 for LLPv2 (95% CI = 2.05–2.28). Overestimation increased with area-level socioeconomic status. In the combined cohorts, USPSTF 2013 criteria classified 50.7% of future cases as screening eligible. The LCDRAT and LCRAT identified 60.9%, followed by PLCOm2012 (58.3%), Bach (58.0%), LLPv3 (56.6%), and LLPv2 (53.7%). Conclusion: In UK cohorts, the ability of risk prediction models to classify future lung cancer cases as eligible for screening was best for LCDRAT/LCRAT, very good for PLCOm2012, and lowest for LLPv2. Our results highlight the importance of validating prediction tools in specific countries

Different ways for psychiatric nurses to promote recovery of mental health patients

Psychiatric nurses have important role in promoting and supporting the mental health patients because usually they are involved during the care process throughout the recovery and can be one of the main direct care providers. This studies main interest is to have better understanding about the nurses role in caring for mental health patients. The study can be useful for nurses for future knowledge when caring for patients with mental health illnesses. The aim is to explore the important ways that nurses can promote the recovery of the patient in the findings from both patient’s experiences and nurse’s experiences. This study is investigated as literature review that fall under qualitative systematic literature review, in inductive way. In the theoretical background, the concepts of mental health, mental illness, mental health promotion, psychiatric nursing, and mental health recovery will be presented. Barker’s theory “Tidal Model of Mental Recovery” fits well in the concept for nursing care in psychiatric nursing and form the theoretical framework in this study. Three main themes resulted in this study: importance of nurse-patient engagement, importance for patients to feel human being and feeling cared about, importance for patients to understand the treatment