8 research outputs found

    Effect of Laser-Assisted Hair Removal (LAHR) on the Quality of Life and Depression in Hirsute Females: A Single-Arm Clinical Trial

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    Introduction: Hirsutism, mainly due to poly cystic ovary syndrome (PCOS), causes stress, anxiety and depression in females. LAHR is currently accepted as a good treatment option for hirsutism. The goal of the current study was to ascertain how LAHR affected the degree of hirsutism, quality of life, and depression in hirsute females. Methods: A single arm before/after clinical trial was designed and performed in the Razi Hospital Laser Clinic over a 15-months period. All hirsute females visiting Razi hospital laser clinic, were enrolled and received three sessions of LAHR every 4-6 weeks if they were interested and signed an informed consent. Before the commencement of LAHR and six to eight weeks after the last session, the Ferriman-Gallwey score (hirsutism severity), Beck score (depression index) and DLQI score (quality of life index) were calculated and stored. Results: There were 80 subjects in all. The mean± (SD) of the Ferriman-Gallwey score was reduced from 7.05 ± 2.27 to 4.91 ± 2.41, p<0.001. Beck depression score’s mean± (SD) was reduced from 13.3 ± 8.7 to 10.2 ± 8.4, p<0.001 and mean± (SD) of DLQI score was decreased from 5.6 ± 5.2 to 3.5 ± 2.3, p<0.001. No significant complication were reported. Conclusion:   LAHR can improve hirsutism related depression and degradation of quality of life as well as hirsutism physical signs

    Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

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    Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

    Predictors of pearl vitamin D3 consumption in pregnant women: application of the theory of planned behaviour

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    This study aimed at determining the applicability planned-behaviour theory to predict the consumption of pearl vitamin D3 (1000 IU) among pregnant women in Iran in 2020. The participants of the present study were 200 pregnant women who were selected through random cluster sampling. In addition, data collection was done through the use of questionnaire and the proceeding analyses including correlation and linear regression were conducted using SPSS (version 20) (SPSS Inc., Chicago, IL) statistical software package. The findings showed that all three structure attitudes (r = 0.69, p<.001), subjective norms (r = 0.58, p<.001) and perceived behavioural control (PBC) (r = 0.52, p<.001) had significant correlations with consumption. Among the variables entered into the regression model, attitude, subjective norms and PBC were able to predict a total of 65% of pearl vitamin D3 (1000 IU) consumption variance among participants (F = 60.75, R = 0.66, R2=0.65). According to the findings, TPB and its constructs were used to predict pearl vitamin D3 consumption in pregnant women in Iran. This outcome indicates that efforts to promote behavioural intentions through targeting subjective norms, attitude and PBC may promote pearl vitamin D3 consumption.Impact Statement What is already known on this subject? The results of this study showed predictors of pearl vitamin D3 consumption in pregnant women based on the theory of planned behaviour (TPB). Women receive adequate and proper knowledge, along with a positive attitude towards taking pearl vitamin D3, and feel that taking pearl vitamin D3 is at their discretion in terms of environmental factors (facilities and barriers), increases intend to use pearl vitamin D3. What do the results of this study add? The results of this study also showed that the amount of pearl vitamin D3 intake during pregnancy increased by pregnant women and decreased risk of foetal growth retardation, low birth weight, decreased risk of respiratory infections in infants, decreased asthma and eczema in infants. What are the implications of these findings for clinical practice and/or further research? The study showed the importance of the role of education based on TPB in consumption promoting pearl vitamin D3

    Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis

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    Abstract Type 2 Diabetes Mellitus (T2DM) is a significant public health problem globally. The diagnosis and management of diabetes are critical to reduce the diabetes complications including cardiovascular disease and cancer. This study was designed to assess the potential association between T2DM and routinely measured hematological parameters. This study was a subsample of 9000 adults aged 35–65 years recruited as part of Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study. Machine learning techniques including logistic regression (LR), decision tree (DT) and bootstrap forest (BF) algorithms were applied to analyze data. All data analyses were performed using SPSS version 22 and SAS JMP Pro version 13 at a significant level of 0.05. Based on the performance indices, the BF model gave high accuracy, precision, specificity, and AUC. Previous studies suggested the positive relationship of triglyceride-glucose (TyG) index with T2DM, so we considered the association of TyG index with hematological factors. We found this association was aligned with their results regarding T2DM, except MCHC. The most effective factors in the BF model were age and WBC (white blood cell). The BF model represented a better performance to predict T2DM. Our model provides valuable information to predict T2DM like age and WBC

    Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019Research in context

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    Summary: Background: The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods: We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings: In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of −0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = −0.41), inflammatory bowel disease (AAPC = −0.72), multiple sclerosis (AAPC = −0.26), psoriasis (AAPC = −0.77), and atopic dermatitis (AAPC = −0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR. Interpretation: The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rheumatoid arthritis and upsurging new cases of other five IMIDs, respectively. Funding: The Global Burden of Disease Study is funded by the Bill and Melinda Gates Foundation. The project funded by Scientific Research Fund of Sichuan Academy of Medical Sciences &amp; Sichuan Provincial People's Hospital (2022QN38)

    Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019

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    Five insights from the Global Burden of Disease Study 2019

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