229 research outputs found
A social work study on different factors influencing youth on hope for the future
In this paper, we present an empirical study to study the effects of religious duties, communicating with parents; leisure, media planning, city planning, socio-economic and education on different factors influencing the future of youth. The proposed study of this paper designs a questionnaire and distributes it among 400 people aged 18 to 29 and the results are investigated using Pearson correlation ratios. The results of our investigation indicate that there are some positive and meaningful relationship between religious duties and their hope for future (r=44%), a positive and meaningful relationship between leisure and hope for future (31%). In addition, there is a relatively positive and somewhat meaningful relationship between city planning and hope for future (15%) and finally, a small but positive relationship between media planning and hope for the future (6%). However, there is no evidence belief that there is any meaningful relationship between education and hope for the future
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Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation
Investigation of the difference between the expression and presence of sexual symptoms and dysfunction in depressed women treated with fluoxetine
Introduction: The present study aimed at investigating the difference between the expression and presence of sexual symptoms and dysfunction in depressed women treated with fluoxetine, and the possibility of sexual dysfunction following consumption of fluoxetine. Methods: This cross-sectional analytic study was conducted on 44 women candidates for receiving fluoxetine after the diagnosis of depression. Patients’ complaints of sexual dysfunction were collected and compared using Arizona Sexual Experiences Scale (ASEX) questionnaire during their first visit and 2 months after receiving fluoxetine. Two-way data were analyzed using chi-square test, and Wilcoxon Signed Ranks test was used to study ordinal variables in SPSS software. Results: This study indicates that there is a significant difference between the final score of the ASEX questionnaire and that of each question before and after the consumption of fluoxetine. Using ASEX scale, it was indicated that 11 (25.0%) and 27 (61.4%) of participants suffered from sexual dysfunction at their first and second visit, respectively, and that there is a correlation between the expression of sexual dysfunction symptoms and sexual dysfunction disorder. Conclusion: Results indicate that consumption of fluoxetine causes sexual dysfunction, and there is a correlation between the expression of sexual dysfunction symptoms and sexual dysfunction disorder. Moreover the fewer participants complain about symptoms, the more the chance of sexual dysfunction
Marine Natural Products: Promising Candidates in the Modulation of Gut-Brain Axis towards Neuroprotection
In recent decades, several neuroprotective agents have been provided in combating neuronal dysfunctions; however, no effective treatment has been found towards the complete eradication of neurodegenerative diseases. From the pathophysiological point of view, growing studies are indicating a bidirectional relationship between gut and brain termed gut-brain axis in the context of health/disease. Revealing the gut-brain axis has survived new hopes in the prevention, management, and treatment of neurodegenerative diseases. Accordingly, introducing novel alternative therapies in regulating the gut-brain axis seems to be an emerging concept to pave the road in fighting neurodegenerative diseases. Growing studies have developed marine-derived natural products as hopeful candidates in a simultaneous targeting of gut-brain dysregulated mediators towards neuroprotection. Of marine natural products, carotenoids (e.g., fucoxanthin, and astaxanthin), phytosterols (e.g., fucosterol), polysaccharides (e.g., fucoidan, chitosan, alginate, and laminarin), macrolactins (e.g., macrolactin A), diterpenes (e.g., lobocrasol, excavatolide B, and crassumol E) and sesquiterpenes (e.g., zonarol) have shown to be promising candidates in modulating gut-brain axis. The aforementioned marine natural products are potential regulators of inflammatory, apoptotic, and oxidative stress mediators towards a bidirectional regulation of the gut-brain axis. The present study aims at describing the gut-brain axis, the importance of gut microbiota in neurological diseases, as well as the modulatory role of marine natural products towards neuroprotection
The effect of chlorhexidine-thymol and fluoride varnishes on the levels of Streptococcus mutans in saliva in children aged 6–8 years
Background: Streptococcus mutans is considered as the main pathogenic factor for initiation and progression of dental caries. Fluoride is one of the most effective agents used to control caries. Chlorhexidine (CHX) is the most antimicrobial agent against S. mutans and dental caries. Aims: The study aimed to compare the effectiveness of antimicrobial activity of CHX-thymol (CHX/T) and fluoride varnishes on S. mutans levels in children's saliva aged from 6 to 8 years old. Materials and Methods: The total number of children involved in this study is sixty, ages 6 and 8 years old. The participants were divided into three groups by block randomization: Group 1 CHX/T varnish, Group 2 fluoride varnish (f varnish, and Group 3 control group. Varnish was applied onto all tooth surfaces of the participants. At the baseline conditions, saliva samples were collected from the participants for bacterial examination test. This procedure was repeated in week 1, 4, and 12. Bacterial quantitative test was performed, and the number of S. mutans was estimated. Results: The results revealed the significant efficacy of the two groups (fluoride and CHX/T varnishes) in reducing salivary S. mutans numbers when compared to the control group (P 0.05). Conclusion: The outcomes showed that there was a significant reduction in S. mutans counts in children's saliva following the application of fluoride and CHX/T varnishes
A robust optimization model for multi-objective blood supply chain network considering scenario analysis under uncertainty: a multi-objective approach
Abstract Annually, different regions of the world are affected by natural disasters such as floods and earthquakes, resulting in significant loss of lives and financial resources. These events necessitate rescue operations, including the provision and distribution of relief items like food and clothing. One of the most critical challenges in such crises is meeting the blood requirement, as an efficient and reliable blood supply chain is indispensable. The perishable nature of blood precludes the establishment of a reserve stock, making it essential to minimize shortages through effective approaches and designs. In this study, we develop a mathematical programming model to optimize supply chains in post-crisis scenarios using multiple objectives. Presented model allocates blood to various demand facilities based on their quantity and location, considering potential situations. We employ real data from a case study in Iran and a robust optimization approach to address the issue. The study identifies blood donation centers and medical facilities, as well as the number and locations of new facilities needed. We also conduct scenario analysis to enhance the realism of presented approach. Presented research demonstrates that with proper management, crises of this nature can be handled with minimal expense and deficiency
A social work study on the effect of gender and marital status on job satisfaction
Job satisfaction plays an essential role on having happy society since people may have better lives when they fully satisfied with their jobs. In this paper, we present an empirical study to investigate the effect of marital status as well as educational background on job satisfaction. The study performs the study among university employees of Khomeinishar branch located in province of Esfahan, Iran and all questions are designed in Likert scale of 1-5 based on Brayfield & Rothes Index of job satisfaction. Using a sample of 100 people, the study first uses Kolmogrov-Smirnov test and verifies that all data are normally distributed (α=5%). The survey also finds that there is no difference between female and male employees in terms of job satisfaction (α=5%). In addition, the study confirms that marital status has no significance on job satisfaction (α=5%)
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