The Role of Mindfulness and its Dimensions in Predicting of Students’ Psychological Well-being

Background: Well-being is the biggest and most important goal of human being life that affects a person's health more than anything else does. This study aimed to investigate the role of mindfulness and its dimensions in students' psychological well-being. Methods: The research method was correlation and the statistical population included all students of Kharazmi University. The sample consisted of 240 students (126 females and 114 males) who were selected by the convenience sampling method. The research instruments were the Five Facet Mindfulness Questionnaire (FFMQ) (Bauer et al. 2006) and Ryff's scale of the Psychological Well-Being (Ryff, 1980). Data analysis was performed using independent groups of t-test, Pearson correlation coefficient, and stepwise regression. Results: The obtained results showed that there is no significant difference between male and female students in the variables of mindfulness and psychological well-being. There is a positive and significant correlation between psychological well-being and the overall score of mindfulness as well as the dimensions of observing, describing, acting with awareness, and non-reactive. Conclusions: The variables of acting with awareness and describing mindfulness dimensions were able to explain about 24% of the variance of psychological well-being in two steps. Keywords: Mindfulness, Psychological well-being, Student

The The Role of Mindfulness and its Dimensions in Predicting of Students’ Psychological Well-being

Background: Well-being is the biggest and most important goal of human being life that affects a person's health more than anything else does. This study aimed to investigate the role of mindfulness and its dimensions in students' psychological well-being. Methods: The research method was correlation and the statistical population included all students of Kharazmi University. The sample consisted of 240 students (126 females and 114 males) who were selected by the convenience sampling method. The research instruments were the Five Facet Mindfulness Questionnaire (FFMQ) (Bauer et al. 2006) and Ryff's scale of the Psychological Well-Being (Ryff, 1980). Data analysis was performed using independent groups of t-test, Pearson correlation coefficient, and stepwise regression. Results: The obtained results showed that there is no significant difference between male and female students in the variables of mindfulness and psychological well-being. There is a positive and significant correlation between psychological well-being and the overall score of mindfulness as well as the dimensions of observing, describing, acting with awareness, and non-reactive. Conclusions: The variables of acting with awareness and describing mindfulness dimensions were able to explain about 24% of the variance of psychological well-being in two steps. Keywords: Mindfulness, Psychological well-being, Student

LC-MS/MS Estimation of Propranolol level in Exhaled Breath Condensate

Background: Exhaled breath condensate (EBC) could be used as a non-invasive and alternative specimen to urine and blood for monitoring propranolol levels. A simple, sensitive and selective liquid chromatography–tandem mass spectrometry (LC–MS/MS) method is employed for the determination of propranolol in EBC samples. Methods: Samples directly injected to a C18 analytical column and isocratically separated using a mobile phase composed of methanol + acetic acid (99:1 v/v). Detection was performed by positive electrospray ionization in multiple reaction monitoring and selected ion recording modes. Results: The chromatographic separation was obtained within 6.0 min and was linear over the concentration range of 5.6–224.0 ng/mL (R2 = 0.999). The accuracy and precision of the method were within 15% according to FDA guideline. The found concentrations of propranolol in EBC of two patients receiving 80 mg/day were 30 and 40 ng/mL. Conclusion: Developed method was applied to determine propranolol levels in three patients receiving propranolol in their medication. The obtained propranolol levels in EBC could be used to develop simpler, cheaper and more feasible analytical methods to be used in routine analysis of propranolol in biomedical analytical laboratories

Global burden of 87 risk factors in 204 countries and territories, 1990–2019 : a systematic analysis for the Global Burden of Disease Study 2019

Background: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods: GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation: Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding: Bill & Melinda Gates Foundation.Peer reviewe