21 research outputs found

    Assessment of questionnaires measuring quality of life in infertile couples: A systematic review

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    Background: Infertility has potentially inappropriate effects on quality of life in infertile couples. Various general and specific questionnaires have been structured for assessing different aspects of quality of life in infertile men, women, or couples. The present systematic review was designed to assess these questionnaires and also identify different factors affecting infertile couples based on the aforesaid questionnaires. Methods: The research strategy involved general and specific terms in relation to couples's infertility and their quality of life. A review was done for studies published from 1982 to 2012 that were indexed in Medline, ISI Web of Science and Scopus as well as abstract books on this subject. We also corresponded with the authors of the references in related studies for introducing more resources and references. Results: In all reviewed studies, different aspects of the quality of life in couples were evaluated including sexual, psychological, social, communicational, environmental, occupational, medical, as well as economical ones. In total, after initial screening of all studies, 10 general and 2 specific questionnaires were retrieved. Although no meta-analysis was found in the review, infertility had a negative effect on quality of life in couples. Conclusion: This study revealed that some general questionnaires such as SF-36 and WHO-QOL were mostly used for assessing quality of life in infertile couples and some specific questionnaires such as FERTI-QoL and Fertility Problem Inventory were rarely used. Thus, it seems that the evaluation of quality of life in infertile couples needs valid instruments for measurement

    Research paper: Comparing the diadochokinetic rate in farsi-speaking young and older adults

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    Objectives: Speech Diadochokinesis (DDK) is defined as the ability to produce repetitive and fast speech movements. This study aimed at comparing the DDK rate between Farsi-speaking young and older adults. Methods: In this study, 244 normal adults (122 males and 122 females) were divided into two groups of young people (20-49 years) and elderly (50-69 years). DDK tasks was performed based on two ways: the participant was asked to produce /pa/,/ta/,/ka/,/pata/,/paka/,/taka/, and /pataka/ sounds in 5 s; and to repeat single syllable sounds (/pa/,/ta/,/ka/) 20 times, two syllables sounds (/pata/,/paka/,/taka/) 15 times, and a three syllables sound (/pataka/) ten times, separately and quickly. The independent T-test, one-way ANOVA, and Pearson correlation were used for data analysis. Results: The results indicated a significant negative and weak correlation between age and all syllables in the specified time (range:-0.139 to-0.254), and a positive and weak correlation between age and time with respect to the repetition of all syllables (range: 0.121 to 0.245). There was no significant difference between genders in both ways (P>0.05). Discussion: The results indicated different DDK rate between the young and elderly subjects that can be used as a benchmark for the diagnosis of disabled individuals in producing repetitive and fast oral movements and also as a basis for clinical assessments. © 2020 University of Social Welfare and Rehabilitation Sciences

    Tracking development assistance for health and for COVID-19 : a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050

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    Background The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. Methods We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US,2020US, 2020 US per capita, purchasing-power parity-adjusted USpercapita,andasaproportionofgrossdomesticproduct.Weusedvariousmodelstogeneratefuturehealthspendingto2050.FindingsIn2019,healthspendinggloballyreached per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. Findings In 2019, health spending globally reached 8. 8 trillion (95% uncertainty interval [UI] 8.7-8.8) or 1132(11191143)perperson.Spendingonhealthvariedwithinandacrossincomegroupsandgeographicalregions.Ofthistotal,1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total, 40.4 billion (0.5%, 95% UI 0.5-0.5) was development assistance for health provided to low-income and middle-income countries, which made up 24.6% (UI 24.0-25.1) of total spending in low-income countries. We estimate that 54.8billionindevelopmentassistanceforhealthwasdisbursedin2020.Ofthis,54.8 billion in development assistance for health was disbursed in 2020. Of this, 13.7 billion was targeted toward the COVID-19 health response. 12.3billionwasnewlycommittedand12.3 billion was newly committed and 1.4 billion was repurposed from existing health projects. 3.1billion(22.43.1 billion (22.4%) of the funds focused on country-level coordination and 2.4 billion (17.9%) was for supply chain and logistics. Only 714.4million(7.7714.4 million (7.7%) of COVID-19 development assistance for health went to Latin America, despite this region reporting 34.3% of total recorded COVID-19 deaths in low-income or middle-income countries in 2020. Spending on health is expected to rise to 1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied. Interpretation Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

    The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

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    BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). INTERPRETATION: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden

    Quality of life and its related factors in infertile couples

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    Background: Health related quality of life (QoL) has now been considered as a main tool for outcome measurement in infertility. The present study aimed to determine the association be-tween general and specified QoL with different psychological aspects of self-esteem, social sup-port, sexual satisfaction, and marital satisfaction in a sample of Iranian infertile couples. Method: This cross-sectional study was conducted on 385 infertile couples referred to the Fatemieh Hospital in Hamadan City, western Iran in 2012.To measure the self-esteem, the Iseng test was used. The social support scaling developed by Cassidy and Long was used for as-sessment of social support. The sexual satisfaction was also assessed by the Lindaberg ques-tionnaire. For assessing the general QoL state, the WHO-QoL-BREF and FertiQoL tools were employed. Results: Self-esteem scores were lower in the couples with longer infertility duration. The social support mean score was lower in low income couples. Those with higher educational level, shorter infertility duration, and higher income were more satisfied from their marital relationships. Besides, we revealed that the previous failed efforts for treatment of infertility were adversely associated with the lower social support and sexual satisfaction. The higher educational level, higher monthly income, living in urban area, shorter duration of marriage and infertility, and male gender were associated with better QoL status in the most components. Associations between QoL and self-esteem, social support, sexual satisfaction, and marital satisfaction were significant (P<0.05). Conclusion: The QoL status in infertile couples is directly associated with their self-esteem, social support, sexual satisfaction, and marital satisfaction
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