BACKGROUND: Although the workers in many occupations are at the greatest risk of catching and spreading COVID-19 due to assembling and contacting people, the owners of these occupations do not follow COVID-19 health instructions. The purpose of this study is to explain the reasons for not maintaining health guidelines to prevent COVID-19 in high-risk jobs in Iran. METHODS: The present study was conducted with a qualitative approach among people with high-risk jobs in Tehran during March and April of 2020. Data were collected through semi-structured interviews with 31 people with high-risk occupations selected by purposeful sampling and snowballing. The data were analyzed using the conventional qualitative content analysis method and MAXQDA-18 software. Guba and Lincoln's criteria were also used to evaluate the quality of the research results. RESULTS: 4 main categories and 13 sub-categories were obtained, including individual factors (personality traits, lack of self-efficacy, little knowledge of the disease and how to observe health norms related to it, misconceptions about health), structural factors (difficulty of access to health supplies, lack of supportive environment, weak laws and supervision, the poor performance of officials and national media), economic factors (economic costs of living, lack of government economic support), Socio-cultural factors (learning, cultural beliefs, social customs, and rituals). CONCLUSION: COVID-19 prevention requires intervention at different levels. At the individual level: increasing people's awareness and understanding about how to prevent COVID-19 and strengthening self-efficacy in observing health norms, at the social level: highlighting positive patterns of observing health issues and training people about the consequences of social interactions during the outbreak of the virus, and at the macro level: strengthening regulatory rules and increasing people's access to hygienic products and support for the vulnerable must be taken into account. SUPPLEMENTARY ...
"Background: Adolescence is a complex and sensitive period, and learning nutritional concepts during this period is very important. The purpose of the present study is to determine the predictive power of the theory of planned behavior on the behavioral intention of healthy eating in adolescents. Methods: 400 first-grade female students of Bandar Anzali participated in this descriptive-correlational study. Among the first secondary schools of this city, two schools were randomly selected and sampled by census method. The data collection tool was the healthy eating behavior questionnaire based on the theory of planned behavior, which included two sections of demographic information and the constructs of the theory of planned behavior, which were checked and confirmed with the content validity ratio, content validity index, and alpha coefficient. Data were analyzed using SPSS version 22 software. Results: Linear regression analysis showed that a total of 34% of the variance of healthy eating behavior intention is predicted by the constructs of perceived behavioral control and attitude. Conclusion: Considering the high predictive power of the theory of planned behavior in the field of healthy eating behavior, educational interventions based on it and centered on predictive structures are suggested."
Background and Aim: The prevalence of high-risk behaviors is one of the most serious issues threatening the health of young people. The first step in preventing youth risk-taking is to recognize the problem and its dimensions. The purpose of this study was to investigate high-risk behaviors among students at Tehran's universities. Methods: This cross-sectional descriptive-analytical study was conducted from March to August 2019. The sample set was 4,000 students. Data was collected by multi-stage sampling at eight universities in Tehran. Demographic information and standard youth-risk questionnaires were used. SPSS 19 software was used to perform an independent t-test, Pearson ANOVA, and linear regression at a significance level of 0.05 on the questionnaire data collected. Results: The mean of the total tendency to high-risk behavior was 130.34±40.37. Significant risks identified were driving (27.3±8.33), violence (18.86±6.4), smoking (18.86±7.68), drugs (22.47±8.83), alcohol (24.10±8.57), and high-risk sexual behavior (18.47±7.49). High-risk behaviors were more common in men, single people, and people living in dormitories (P<0.05). Age and gender were the best-correlated predictors of students' high-risk behaviors. Conclusions: Results show that the tendency to high-risk behaviors in students is a worrying situation. as, at younger ages, the tendency to engage in high-risk behaviors is greater. Among young men and in dormitory life, students are more prone to high-risk behaviors. So, more monitoring in dormitories, especially male dormitories, and better planning and education to reduce high-risk behaviors among students, is necessary
Background: The highlighting of possible risk factors for urinary colonization in patients with obstructive urolithiasis that needed double J catheters implanted to preserve renal function. Methods: We performed a descriptive, retrospective study, carried out in the Urology Department of the Bucharest Central Military Hospital, between January 2020 and January 2022 and included 168 patients with urolithiasis who required the insertion of double J catheters. We studied the bacteriological profile, using both urine and JJ catheter samples. Results: We obtained a double J catheter colonization rate of 32% (54 patients) and 29% of urinary colonization (49 patients). The rate of urinary colonization is higher in patients with colonized ureteral catheters regardless of sex, age, and associated comorbidities. At the same time, we noticed an increased rate of urinary colonization in patients associated with diabetes, hypertension, and chronic kidney disease. Conclusions: The prevalence of urinary colonization in patients with double J catheters was 29%. The colonization of the JJ catheters, as well as the association with chronic diseases, such as diabetes, hypertension, and CKD (Chronic Kidney Disease), show an increased risk of urinary colonization.
"Introduction: Self-care behaviors are very important to control type 2 diabetes. The current study was conducted aiming at determining the effect of the educational intervention based on mobile short message service on the self-care behaviors in patients with type 2 diabetes in Khorram Abad. Methods: This study was a semi-experimental study on 191 patients with type 2 diabetes (45case and 45 controls). Data collection tools included a demographic information form, International Physical Activity Questionnaire, Self-Care Scale, and Self-Efficacy Scale. Three to four educational messages were sent daily through mobile phones as an educational intervention. Data were analyzed with SPSS V24 at a significance level of 0.05. Findings: The data analysis indicated that the average score of self-care, self-efficacy, and blood sugar was significantly higher in the case group than in the control group before and after the intervention (P<0.001). However, in terms of the physical activity variable, this relationship was not statistically significant in the case and control groups. Conclusion: Educational interventions to empower diabetic patients by strengthening their self-care can be an effective way to improve the health of diabetic patients. Therefore, it is suggested to use patient empowerment programs, especially with a self-care approach, to improve the health of patients. "
BACKGROUND: Comprehensive and comparable estimates of health spending in each country are a key input for health policy and planning, and are necessary to support the achievement of national and international health goals. Previous studies have tracked past and projected future health spending until 2040 and shown that, with economic development, countries tend to spend more on health per capita, with a decreasing share of spending from development assistance and out-of-pocket sources. We aimed to characterise the past, present, and predicted future of global health spending, with an emphasis on equity in spending across countries. METHODS: We estimated domestic health spending for 195 countries and territories from 1995 to 2016, split into three categories-government, out-of-pocket, and prepaid private health spending-and estimated development assistance for health (DAH) from 1990 to 2018. We estimated future scenarios of health spending using an ensemble of linear mixed-effects models with time series specifications to project domestic health spending from 2017 through 2050 and DAH from 2019 through 2050. Data were extracted from a broad set of sources tracking health spending and revenue, and were standardised and converted to inflation-adjusted 2018 US dollars. Incomplete or low-quality data were modelled and uncertainty was estimated, leading to a complete data series of total, government, prepaid private, and out-of-pocket health spending, and DAH. Estimates are reported in 2018 US dollars, 2018 purchasing-power parity-adjusted dollars, and as a percentage of gross domestic product. We used demographic decomposition methods to assess a set of factors associated with changes in government health spending between 1995 and 2016 and to examine evidence to support the theory of the health financing transition. We projected two alternative future scenarios based on higher government health spending to assess the potential ability of governments to generate more resources for health. FINDINGS: Between 1995 and 2016, health spending grew at a rate of 4·00% (95% uncertainty interval 3·89-4·12) annually, although it grew slower in per capita terms (2·72% [2·61-2·84]) and increased by less than $1 per capita over this period in 22 of 195 countries. The highest annual growth rates in per capita health spending were observed in upper-middle-income countries (5·55% [5·18-5·95]), mainly due to growth in government health spending, and in lower-middle-income countries (3·71% [3·10-4·34]), mainly from DAH. Health spending globally reached $8·0 trillion (7·8-8·1) in 2016 (comprising 8·6% [8·4-8·7] of the global economy and $10·3 trillion [10·1-10·6] in purchasing-power parity-adjusted dollars), with a per capita spending of US$5252 (5184-5319) in high-income countries, $491 (461-524) in upper-middle-income countries, $81 (74-89) in lower-middle-income countries, and $40 (38-43) in low-income countries. In 2016, 0·4% (0·3-0·4) of health spending globally was in low-income countries, despite these countries comprising 10·0% of the global population. In 2018, the largest proportion of DAH targeted HIV/AIDS ($9·5 billion, 24·3% of total DAH), although spending on other infectious diseases (excluding tuberculosis and malaria) grew fastest from 2010 to 2018 (6·27% per year). The leading sources of DAH were the USA and private philanthropy (excluding corporate donations and the Bill & Melinda Gates Foundation). For the first time, we included estimates of China's contribution to DAH ($644·7 million in 2018). Globally, health spending is projected to increase to $15·0 trillion (14·0-16·0) by 2050 (reaching 9·4% [7·6-11·3] of the global economy and $21·3 trillion [19·8-23·1] in purchasing-power parity-adjusted dollars), but at a lower growth rate of 1·84% (1·68-2·02) annually, and with continuing disparities in spending between countries. In 2050, we estimate that 0·6% (0·6-0·7) of health spending will occur in currently low-income countries, despite these countries comprising an estimated 15·7% of the global population by 2050. The ratio between per capita health spending in high-income and low-income countries was 130·2 (122·9-136·9) in 2016 and is projected to remain at similar levels in 2050 (125·9 [113·7-138·1]). The decomposition analysis identified governments' increased prioritisation of the health sector and economic development as the strongest factors associated with increases in government health spending globally. Future government health spending scenarios suggest that, with greater prioritisation of the health sector and increased government spending, health spending per capita could more than double, with greater impacts in countries that currently have the lowest levels of government health spending. INTERPRETATION: Financing for global health has increased steadily over the past two decades and is projected to continue increasing in the future, although at a slower pace of growth and with persistent disparities in per-capita health spending between countries. Out-of-pocket spending is projected to remain substantial outside of high-income countries. Many low-income countries are expected to remain dependent on development assistance, although with greater government spending, larger investments in health are feasible. In the absence of sustained new investments in health, increasing efficiency in health spending is essential to meet global health targets. FUNDING: Bill & Melinda Gates Foundation. ; Bill & Melinda Gates Foundation ; Sí
Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572000 deaths and 15.2 million DALYs), and stomach cancer (542000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601000 deaths and 17.4 million DALYs), TBL cancer (596000 deaths and 12.6 million DALYs), and colorectal cancer (414000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care.
Importance Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572 000 deaths and 15.2 million DALYs), and stomach cancer (542 000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819 000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601 000 deaths and 17.4 million DALYs), TBL cancer (596 000 deaths and 12.6 million DALYs), and colorectal cancer (414 000 deaths and 8.3 million DALYs). Conclusions and Relevance The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer