Psychoanalytic explanation of key personality traits of instagram micro-celebrities: A qualitative study

Background: With the growing use of social networks, a large number of studies have investigated their psychological effects. Previous research has demonstrated that virtual networks, especially Instagram, negatively affect users' mental health and make them vulnerable to mental disorders. However, the studies have been descriptive and provide descriptive statements; hence, they do not contribute to in-depth understanding of such vulnerability. Accordingly, qualitative studies should be conducted to delve into this phenomenon. Objectives: This article aimed to understand the key personality traits of popular Iranian Instagram users, assuming that the networks make individuals psychoanalytically vulnerable to clinical outcomes. Methods: Regarding the research method, the deductive content analysis was adopted for the data extracted from semi-structured in-depth interviews with users having > 10,000 followers. Psychodynamic diagnostic manual, PDM-2 second edition, and the structured analysis matrix were considered to make sense of the collected data. Results: The results demonstrated that the dominant key personality traits in popular Instagram users were narcissism with three subcategories (namely narcissistic central tension, pathogenic belief about oneself, and pathogenic belief about others) and depression with two subcategories (namely depressive pathogenic belief about oneself and pathogenic belief about others). Conclusions: According to the findings, the structures and categories underpinning our experiences by Instagram are inherently narcissistic. Rather than changing individuals' dynamics, Instagram promotes this intellectual and communicative style inversely by normalizing it and reinforcing the narcissistic personality disorder established by the family and cultural structure of society. Copyright © 2021, Author(s)

Effectiveness of meta-cognitive and cognitive-behavioral therapy in patients with major depressive disorder

Objective: The present study aimed to compare the effectiveness of metacognitive therapy (MCT) and cognitive-behavior therapy (CBT) in treating Iranian patients with major depressive disorder (MDD). Methods: Thirty three outpatients meeting DSM-IV-TR criteria for MDD without any other axis I and II disorders were randomly assigned to one of three treatment conditions, i.e. MCT, CBT and pharmacotherapy. The Beck Depression Inventory-II-Second Edition (BDI-II), Beck Anxiety Inventory (BAI), Ruminative Response Scale (RRS) and Dysfunctional Attitude Scale (DAS) were administered for pre-treatment, posttreatment and follow-up. Data were analyzed by repeated measures analysis of variance (ANOVA). Results: Based on repeated measures ANOVA, all the participants demonstrated improvement in depression, anxiety, dysfunctional attitude and ruminative response. Based on percentage results, all the patients in MCT and CBT groups showed significant improvement at post-treatment phase. Conclusions: MCT and CBT were more effective than pharmacotherapy alone In treatment of MDD

Quality of life, religious attitude and cancer coping in a sample of iranian patients with cancer

BACKGROUND: Cancer is one of the leading causes of mortality and morbidity worldwide. The incidence of cancer has increased markedly in recent decades in most countries. Studies have shown that diseases such as cancer affect the individuals' quality of life. METHODS: The sample of study consisted of 384 patients selected through non-random convenient sampling procedure from three general hospitals and outpatient clinics in Isfahan and Tehran. The measures used in the study included a demographic questionnaire, the Iranian version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30), the Cancer Coping Questionnaire, and the Religious Attitude Questionnaire. RESULTS: The results revealed significant correlation between patients' scores on the total scale of the Cancer Coping Questionnaire and their scores on the Global health status/Quality of Life. Significant correlations were also found between patients' scores on the Religious Attitude Questionnaire and various scales of the Quality of Life Questionnaire. However, no significant correlations were found between Cancer Coping and Religious Attitude measures in any type of cancer except for the prostate cancer. CONCLUSIONS: Religious attitude was a significant and important factor in coping with cancer. In addition, patients' quality of life correlated significantly with religious attitude as well as cancer coping measures. However, the results did not show any significant relationship between religious attitude and cancer coping measures except in patients with prostate cancer. The findings of this study are consistent with other studies that have shown significant correlations between religiosity and spirituality and quality of life in patients with life threatening diseases

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

BackgroundFuture trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050.MethodsUsing forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline.FindingsIn the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]).InterpretationGlobally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions.FundingBill & Melinda Gates Foundation.</p