7 research outputs found

    Exploring the challenges of men who married to adolescent girls in Western Iran: A qualitative study

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    Abstract Background and Aims Men face many challenges in their lives with adolescent girls that need to be identified. No research has been conducted in this field in Iran. This research aimed to explore the challenges of men married to adolescent girls in western Iran using a qualitative approach. Methods This research was conducted using qualitative methods and a conventional content analysis approach. Participants were 28 men in western Iran who had the experience of marrying girls under 18 years of age. Semi‐structured interviews were used both face‐to‐face and over the phone to collect data. Also, snowballing and purposeful sampling were used to select the participants. The data were also analysed using Granheim and Lundman's approach. Results From the data analysis, 1 category, 9 subcategories, and 103 primary codes were obtained. The main category was lack of empathy and consensus, which includes the subcategories of sexual dissatisfaction, girls' dependence on the family, inability to fulfill the roles of a wife, not being understood in life, remaining in the world of childhood, emotional divorce, limiting progress and preventing the achievement of goals, betrayal, and chaotic life. Conclusion Young couples problems can be solved by measures such as giving sex education and teaching skills necessary for married life, such as problem solving skills and anger control, to adolescent men and girls, as well as training families on how to properly support adolescent couples

    CPU Performance Prediction Using Various Regression Algorithms

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    Regression Algorithms are used widely for the purpose of predicting the value of a target variable in a dataset. In this work a dataset for Central Processing Unit(CPU) component of personal computers is compiled. Various regression algorithms have been used to predict the performance of the aforementioned component and the accuracy for the various regression algorithms are compared

    Challenges and Opportunities Experienced by Iranian Researchers during the COVID-19 Pandemic: A Qualitative Study

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    The COVID-19 pandemic has caused new conditions, problems, and different research platforms for qualitative research. The aim of the present study was to analyse the challenges and opportunities facing qualitative researchers during the COVID-19 pandemic in Iran. This qualitative research was conducted with a conventional content analysis approach with twenty-four Iranian health sciences researchers. The participants were selected by snowball and purposive sampling. Data collection was carried out using semi-structured face-to-face and online interviews until reaching saturation. Data analysis was also carried out using the Graneheim & Lundman approach in MAXQDA-2018 software, and to improve the trustworthiness of the results, Guba and Lincoln’s criteria were used. Data analysis led to the identification of two main categories, 13 subcategories, and 69 primary codes: The challenges were in areas such as data collection methods, access to participants and how to conduct interviews. Opportunities also included formation of new topics for qualitative research, highlighting the importance of qualitative research, strengthening the technological knowledge of researchers, research cost-effectiveness, and presenting further information on sensitive topics. It is also possible to strengthen qualitative research by supporting qualitative researchers at universities and research centres, facilitating the administrative processes, providing communication infrastructure such as suitable Internet in universities, ensuring more diversity in data collection methods, developing an appropriate protocol during the COVID-19 pandemic, and dedicating some university rooms to qualitative researchers to conduct interviews

    Identification of causes and consequences of Kolberi among Iranian Kurdish women: a grounded theory study

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    Abstract Background Women turn to Kolberi for various reasons, which cause numerous challenges for them. Thus, it is imperative to identify these causes and problems. Since no study has ever been undertaken to deal with this participant, the present research aims to identify the causes and consequences of Kolberi among Kurdish women in Iran. Method The present research uses the grounded theory approach to investigate 28 female Kurdish Kolbers. To achieve several participants, purposive, snowball, and theoretical sampling methods were used, while face-to-face semi-structured interviews were used to gather data. The process of data collection and analysis took 10 months, from April to December 2022. The data were analyzed using the Strauss and Corbin method and MAXQDA-20018 software. The Guba and Lincoln criteria were also met to increase the trustworthiness of the results. Findings Analysis of the data led to 143 initial codes, 31 subcategories, and 9 main categories: Causal condition (individual characteristics and economic factors); predisposing conditions (social and cultural factors, familial factors); intervening conditions (advantages and characteristics of Kolberi); strategies (strengthening compatibility with Kolberi); and consequences (individual problems, social problems and positive consequences). Conclusion Measures such as training occupational skills for women and providing employment conditions for them, increasing social, financial, and mental support for women without guardians, creating border markets, and expanding women's handicrafts can help prevent female Kolberi

    Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019

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    Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (−28·4 to −2·9) for all diabetes, and by 21·0% (–33·0 to −5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (−13·6% [–28·4 to 3·4]) and for type 1 diabetes (−13·6% [–29·3 to 8·9]). Interpretation: Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. Funding: Bill & Melinda Gates Foundation
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