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MDMA can cause serious adverse effects on vital organs such as the heart, brain, and liver. Additionally, MDMA consumption can also potentially cause various endocrine system dysfunctions. The previous study has shown that pre-treatment of zinc can reduce the cytotoxicity of MDMA on the Leydig cell line (TM3). In this study, we investigated the mechanisms involved in the treatment with MDMA on the apoptosis of TM3 cells and the effects of zinc pre-treatment on reducing the apoptotic effects of MDMA. TM3 cells were incubated with MDMA (5 mM), zinc (8 µM), and zinc (8 µM) prior to MDMA (5 mM) for 48 h. The cells were pre-treated with zinc for 24 h prior to the administration of MDMA, and the total culture time was 48h. The effect of different treatment groups in causing oxidative stress and apoptosis in TM3 cells was measured by DCF, TUNNEL, and western blot tests, respectively. Our results revealed that the number of DCF and tunnel-positive cells increases as a result of MDMA treatment. In addition, the treatment with MDMA increased the expression of pro-apoptotic proteins caspase 3, Bax, and p53. Conversely, the expression of anti-apoptotic protein Bcl-2 decreased. Zinc pre-treatment significantly decreased the expression of pro-apoptotic proteins and the number of tunnels and DCF-positive cells compared to the MDMA-only group. It is concluded that MDMA has a toxic effect and causes apoptosis on TM3 cells, and also, pre-treatment with zinc mitigates the ROS production and toxic effect of MDMA and MDMA-induced apoptosis in TM3 cells.
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Due to the importance of accurate diagnosis and prompt treatment of this condition, the medical world is searching for a solution for its early detection and efficient treatment. Heart disease is one of the leading causes of death in modern society. With the development of computer science today, this issue can be resolved using computers. Data mining is one of the solutions for diagnosing this illness. One of the cutting-edge disciplines, data mining, can aid in better decision-making in many areas of medicine, including disease diagnosis and treatment. In order to improve diagnosis accuracy, a combination method using the evolutionary algorithms locust and support vector machine has been tested in this study. Use should be made of heart disease. Because of the hybrid nature of this approach, normalization is actually carried out in three steps: first, by using pre-processing operations to remove unknown and outlier data from the data set; second, by using the locust evolutionary algorithm to choose the best features from the available features; and third, by classifying the data set using a support vector machine. The accuracy criterion for the proposed method compared to Niobizin methods, neural networks, and J48 trees improved by 18 %, 30 %, and 24 %, respectively, after implementing it on the data set and comparing it with other algorithms used in the field of heart disease diagnosis.
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This study aimed to investigate the sexual behaviors among working children and the associated factors. This cross-sectional study was conducted on a sample of 1937 working children in the 10-18 age range in 15 provincial capitals in 2019-20 (Feb-May); the Response rate was 94.9%. Univariate and multivariable logistic regression was used to examine the variable of sexual behaviors. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) are reported. The prevalence of sexual behaviors in working children was 4.2%. The results showed a significant difference between those who reported sexual behaviors and those who did not in terms of age, identity document (ID), running away from home, alcohol use, and substance use. There was a statistically significant relationship between fathers' unemployment and sexual behaviors among working children. Furthermore, we found that having divorced parents could increase the odds of sexual behaviors by 3.74 times. The findings showed that related welfare and support organizations should design and implement effective and continuous training and interventions to raise awareness and reduce the prevalence of high-risk sexual behaviors in working children. They should also provide family counseling and promote parental supervision of children.
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BACKGROUND: Spinal arachnoid webs (SAWs) are rare pathologies of the spinal meninges often associated with syringomyelia and the radiographic "scalpel sign." Patients can experience pain, numbness, gait disturbances, or no symptoms at all. They are typically diagnosed via magnetic resonance imaging and treated with laminectomy and excision. OBSERVATIONS: A 61-year-old male presented after a mechanical fall and had an incidentally discovered SAW on imaging. He was initially asymptomatic and was therefore conservatively managed. Several years later, however, the patient experienced new-onset back pain, paresthesia, and balance problems, with interval imaging demonstrating worsening of the edema surrounding his SAW. The patient subsequently underwent resection of the SAW, which led to significant resolution of his symptoms. LESSONS: An SAW can be asymptomatic or can manifest with a wide variety of symptoms. When this condition is incidentally discovered in asymptomatic patients, neurosurgeons should guide these patients to follow-up urgently if they develop any neurological symptoms. At that time, further imaging can be performed to determine if surgical treatment is indicated. Although SAW is rare, clinicians should be aware of the signs and symptoms, because prompt surgical intervention can significantly improve neurological symptoms.
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Unequal utilization in healthcare can potentially affect the right to health. Access to healthcare services and achieving positive health outcomes and health equity are essential principles in promoting human rights. This study aims to assess and analyze socioeconomic-related inequalities in outpatient health services utilization (OHSU) among various socio-demographic subgroups to inform policies that foster health equity. Data were collected through a cross-sectional survey of 1200 households in Tehran, Iran. Inequality in OHSU among the socio-demographic subgroups was calculated by concentration, Wagstaff, and Erigers indices. Decomposition was used to identify the factors contributing to inequality in OHSU. Marginal effect and elasticity were used to calculate the relative absolute shares of socio-demographic variables in the inequality. The rate of OHSU was 63.61% (CI: 60-66.80) which concentrated among households with better socioeconomic status. Based on the results, living in an affluent neighborhood (Relative share (RS): 85.48) and having a disabled member in the household (RS: 6.58) were the most important factors in the concentration of OHSU in favor of the privileged groups. In contrast, very low levels of health knowledge (RS: -83.79) and having basic insurance coverage (RS: -3.92) concentrated OHSU in favor of the lower socioeconomic households. The study was conducted based on survey data, and this may lead to some limitations. Given that this study was a cross-sectional study, we were unable to establish causal relationships between explanatory variables and outpatient health service utilization and its relevant predictors. Households with disabled member(s), as well as a member(s) with chronic diseases, may experience severe inequalities in access to healthcare services. Policies that facilitate access to health services for these households can play a significant role in improving health equity.
Subject(s)
Health Literacy , Humans , Socioeconomic Factors , Cross-Sectional Studies , Iran , Patient Acceptance of Health Care , Health Services Accessibility , Healthcare Disparities , Neighborhood CharacteristicsABSTRACT
BACKGROUND: Health service utilization among people living with HIV is vital for their survival and quality of life. This study aims to exploring the determinants influencing health service utilization among people living with HIV. METHODS: We conducted a qualitative study involving 16 men and women aged 18-64 living with HIV in Tehran. Data were collected between September and December 2021 through semi-structured interviews conducted via telephone and online platforms, utilizing the purposeful sampling method. Data were analyzed by MAXQDA-2018 software using conventional content analysis approaches and the Granheim and Landman method. RESULTS: Two main themes, seven categories, and 21 subcategories were obtained from the interviews. The main themes included facilitators of health service utilization (positive personality traits, social factors, and structural-behavioral determinants) and inhibitors of health service utilization (personal conditions, insufficient knowledge and understanding of the disease, negative consequences of disease disclosure, and difficult access to services). CONCLUSION: This study underscores the need to invest and expand specialized services for people living with HIV by policy makers, while simultaneously increasing public awareness to reduce the social stigma.
Subject(s)
HIV Infections , Male , Humans , Female , HIV Infections/therapy , Iran/epidemiology , Quality of Life , Qualitative Research , Health ServicesABSTRACT
BACKGROUND AND OBJECTIVE: Although randomized controlled trials have compared surgery versus endovascular treatment for intracranial aneurysms, the literature is sparse in terms of subgroup analysis for anterior communicating artery (ACoA) aneurysm management. This systematic review and meta-analysis sought to compare surgical versus endovascular treatment for ACoA aneurysms. METHODS: Medline, PubMed, and Embase were searched from inception to December 12, 2022. Primary outcomes were post-treatment modified Rankin Scale (mRS) >2 and mortality. Secondary outcomes were aneurysm obliteration, retreatment and recurrence, rebleeding, technical failure, vessel rupture, aneurysmal subarachnoid hemorrhage-related hydrocephalus, symptomatic vasospasm, and stroke. RESULTS: Eighteen studies yielded 2368 patients, from which 1196 (50.5%) and 1172 (49.4%) patients underwent surgery and endovascular treatment, respectively. The odds ratio (OR) of mortality was similar in total (OR = 0.92 [0.63-1.37], P = 0.69), ruptured (OR = 0.92 [0.62-1.36], P = 0.66), and unruptured cohorts (OR = 1.58 [0.06-39.60], P = 0.78). The OR of mRS > 2 was similar in total (OR = 0.75 [0.50-1.13], P = 0.17), ruptured (OR = 0.77 [0.49-1.20], P = 0.25), and unruptured cohorts (OR = 0.64 [0.21-1.96], P = 0.44). The OR of obliteration was higher with surgery in the total (OR = 2.52 [1.49-4.27], P = 0.0008) and ruptured cohorts (OR = 2.61 [1.33-5.10], P = 0.005) and unruptured group (OR = 3.46 [1.30-9.20], P = 0.01). The OR of retreatment was lower with surgery in the total (OR = 0.37 [0.17-0.76], P = 0.007) and ruptured cohorts (OR = 0.31 [0.11-0.89], P = 0.03), thought it was similar in the unruptured group (OR = 0.51 [0.08-3.03], P = 0.46). The OR of recurrence was lower with surgery in the total (OR = 0.22 [0.10, 0.47], P = 0.0001), ruptured (OR = 0.16 [0.03, 0.90], P = 0.04), and mixed (un) ruptured cohorts (OR = 0.22 [0.09-0.53], P = 0.0009). The OR of rebleeding in ruptured group was similar (OR = 0.66 [0.29-1.52], P = 0.33). The ORs of other outcomes were similar. CONCLUSIONS: ACoA aneurysms may be safely treated with either surgery or endovascular treatment, although microsurgical clipping demonstrates higher obliteration rates and lower rates of retreatment and recurrence.
Subject(s)
Aneurysm, Ruptured , Embolization, Therapeutic , Endovascular Procedures , Intracranial Aneurysm , Subarachnoid Hemorrhage , Humans , Adult , Child , Intracranial Aneurysm/surgery , Treatment Outcome , Aneurysm, Ruptured/therapy , Subarachnoid Hemorrhage/therapy , Retreatment , Endovascular Procedures/adverse effectsABSTRACT
BACKGROUND: Associations between the COVID-19 pandemic and hospitalizations have not been studied Iran. This study aimed to examine the impact of the COVID-19 pandemic on hospital admissions for nine categories of disease in seven public hospitals in Kermsnahah city, the capital of Kermsnahah province, in the west of Iran. METHODS: Data on monthly hospitalization rates (number of hospitalizations per 100,000 population) were collected for nine categories of disease for a period of 40 months (23 months before and 17 months after the COVID-19 outbreak in Iran) from the health information systems of all seven public hospitals in Kermanshah city. Categories of disease included those related to pregnancy, childbirth and the puerperium period, neoplasms, diseases of the digestive, respiratory, circulatory, genitourinary and nervous systems, mental and behavioural disorders, and infectious and parasitic diseases. Population data were extracted from the Statistics Centre of Iran. An interrupted time series analysis with segmented regression was used to examine the impact of COVID-19 on hospital admissions. FINDINGS: Average monthly hospitalization rates fell for all nine categories of disease included in the study after the onset of the pandemic, with overall rates of 85.5 per 100,000 population in the period before the COVID-19 outbreak and 50.4 per 100,000 population after the outbreak began. The relative reduction in hospitalizations for the nine diseases was 56.4%. Regression analysis of monthly data indicated a sharp decrease in hospitalisations during the first month after the COVID-19 outbreak, which was statistically significant for all diseases (p < 0.001). After the initial reduction following onset of the pandemic, significant increases were observed for some diseases, including neoplasms (increase of 3.17 per 100,000 population; p < 0.001), diseases of the digestive system (increase of 1.17 per 100,000 population; p < 0.001) and diseases related to pregnancy, childbirth and the puerperium period (increase of 1.73 per 100,000 population). For other categories of disease, rates significantly declined, including infectious and parasitic diseases (decrease of 2.46 per 100,000 population; p < 0.001). Hospitalization rates did not increase to pre-pandemic levels for any disease, with the exception of those related to pregnancy, childbirth and the puerperium period. CONCLUSIONS: Our study indicated that the COVID-19 pandemic had a significantly negative effect on hospitalizations in Iran. Although use of hospital care has gradually increased post-outbreak, it has yet to return to normal levels.
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Objective: Extensive vaccination coverage is one of the most effective ways to control COVID-19 vaccine, but the tendency to inject the vaccine is always hampered and there are various determinants of non-injection. Hence, the present study was done with the aim of identifying the determinants of non-injection of COVID-19 vaccine with a qualitative approach in the city of Urmia in Iran. Methods: The present study was conducted with a qualitative approach and conventional content analysis method among 36 people who refused to be vaccinated. Access to participants and data collection was done in person (28 interviews) and online (8 interviews) through targeted sampling and snowball method and semi-structured interviews. Data management was performed using MAXQDA-2018 software and its analysis was performed by Graneheim and Lundman method. Also, Guba and Lincoln criteria were observed to improve the quality of results. Results: After analyzing the data, 3 main categories and 11 subcategories were obtained including (1) Individual factors (fear of short-term side effects of vaccine, personality traits, distrust of vaccines and pharmaceutical companies), (2) Socio-cultural factors (conspiracy theory, social learning, misconceptions about COVID-19, fatalism), legal and managerial factors (incomplete information, difficult and irregular access to vaccination centers, lack of restrictions and compulsion to be vaccinated, lack of incentives to be vaccinated). Conclusion: The results showed that various determinants were involved in the non-injection of COVID-19 vaccine. Therefore, efforts to increase vaccination coverage require comprehensive measures at different levels and cross-sectoral cooperation between governmental and non-governmental institutions and organizations.
Subject(s)
COVID-19 Vaccines , COVID-19 , COVID-19/prevention & control , Humans , Iran , Qualitative Research , Vaccination CoverageABSTRACT
BACKGROUND: Nurses, as the primary human resource in the fight against COVID-19, encounter several obstacles and concerns. As a result, the current study used a qualitative method to describe the problems and adaptation techniques of nurses caring for COVID-19 patients. METHODS: The current study used a qualitative conventional content analysis technique with 30 nurses working in COVID-19 wards in Tehran hospitals. Purposive sampling, snowball sampling, and semi-structured interviews were used to get access to participants and gather data. The data was examined using conventional qualitative content analysis and the MAXQDA-18 program. To assess the quality of study findings, Guba and Lincoln's trustworthiness criteria were fulfilled. RESULTS: The data analysis revealed two main categories and sixteen subcategories: (1) experiences and challenges (lack of protective equipment, high work pressure, marginalized physical health, problems related to the use of protective equipment, being excluded, a lack of a supportive work environment, problems related to patients, psychological problems, fear, marginalized personal and family life, and the challenge of communicating with patients' families); and (2) adaptation strategies for work conditions (performing religious-spiritual activities, creating an empathetic atmosphere in the workplace, spiritualizing their work, trying to convince the family and gaining their support, and strengthening their sense of self-worth and responsibility). CONCLUSION: Nurses' working conditions can be improved by providing adequate protective equipment, a suitable work environment, and more social and financial support; paying more attention to nurses' physical and mental health; and considering appropriate communication mechanisms for nurses to communicate with their families and patients' families.
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Background: Improving sperm motility results in increasing the success of a treatment cycle. Recently, sperm RNA has been used for diagnostic purposes such as whole seminal fluid, sperm analysis, and sperm quality test in patients undergoing in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). SPATA18-P53 pathway is considered an essential pathway related to sperm mitochondria, which controls mitochondrial quality by eliminating its oxidative proteins. Oxidative stress may decrease sperm motility and affect sperm quality negatively due to an increase in P53 expression. SPATA18 protein is found in satellite fibers related to outer dense fibers in the middle piece of sperm. The downregulation of SPATA18 in the asthenospermia group can represent this gene's critical function in sperm motility and fertility. The present study aimed to assess the relationship between SPATA18 and P53 gene expression in sperm cells obtained from normospermia and asthenospermia. Materials and Methods: In this case-control study, the quantitative real-time polymerase chain reaction (RT-PCR) technique was used to measure the SPATA18 and P53 gene expression level in sperm samples collected from 21 patients and 63 healthy individuals. Further, the sperm DNA fragmentation assay (SDFA) kit was applied to determine the relative apoptosis level in cells and evaluate the biochemical information related to the patients' sperm samples. Furthermore, all the participants completed the consent form, and the ethics committee confirmed the study. Results: Based on the results, the P53 and SPATA18 gene expression levels in most of the samples, in which motility was less than 40%, increased and decreased (P≤0.001), respectively. Conclusion: The SPATA18 and P53 gene expression levels increased and decreased in the asthenospermic patients, respectively, compared to the control group. Thus, the P53 and SPATA18 expression levels can be used as an appropriate marker for diagnosing sperm motility in males.
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Curative Treatment of Esophageal Carcinoma - Disease, Diagnostics, Therapy in 2022 Abstract. Surgical resection remains the gold standard for non-metastatic carcinoma of the lower and middle third of the esophagus. Locally advanced tumors (T3) are pretreated neoadjuvantly (radiochemotherapy) or perioperatively (chemotherapy). A differentiated primary staging and an interdisciplinary case presentation are of essential importance today. The individual risk assessment, the pre-habilitation and the individualized treatment play a major role. Clinically, the further advancement of access minimization - through laparoscopic/thoracoscopic and robot-assisted procedures and the associated reduction of access trauma - as well as the treatment of this entity in high volume centers are clearly in the foreground. For cervical carcinomas definitive radiotherapy is often the better alternative, both for tumor biological reasons and for reasons of the increase in complications during surgery.
Subject(s)
Carcinoma, Squamous Cell , Esophageal Neoplasms , Carcinoma, Squamous Cell/drug therapy , Carcinoma, Squamous Cell/pathology , Carcinoma, Squamous Cell/surgery , Combined Modality Therapy , Esophageal Neoplasms/diagnosis , Esophageal Neoplasms/pathology , Esophageal Neoplasms/therapy , Humans , Neoplasm StagingABSTRACT
INTRODUCTION: Adherence to COVID-19 preventative guidelines may be influenced by a variety of factors at the individual, societal, and institutional levels. The current study sought to investigate the social factors of adherence to those preventive measures from the perspective of health professionals. METHODS: In October 2020, we performed qualitative research in Tehran, Iran, using the directed content analysis method. For the preparation of our interview guide and data analysis, we employed the WHO conceptual framework of socioeconomic determinants of health. Semi-structured interviews were conducted with 15 health professionals and policymakers who were chosen using a purposive sampling approach. MAXQDA-18 software was used to analyze the data. The Goba and Lincoln criteria were used to assess the quality of the results. RESULTS: There are 23 subcategories and 9 categories, which include socio-economic and political context (unstable macroeconomic environment, poor management of the pandemic, media and knowledge transfer), cultural and social values (fatalism, cultural norms, value conflicts, social customs), socio-economic positions (livelihood conditions), social capital (social cohesion, low trust), living conditions (housing conditions), occupational conditions (precarious employment), individual characteristics (demographic characteristics, personality traits, COVID-19 knowledge, and attitude), psycho-social factors (normalization of the disease, social pressure, and stigma), and health system leadership (health system problems, not taking evidence-based decisions, non-comprehensive preventive guidelines, non-operational guidelines, inadequate executive committee) were obtained. CONCLUSION: To limit the new COVID-19 transmission, people must be encouraged to follow COVID-19 prevention instructions. Improving adherence to COVID-19 preventive guidelines necessitates dealing with the complexities of responding to social determinants of those guidelines. Increasing public health literacy and knowledge of COVID-19, informing people about the consequences of social interactions and cultural customs in the spread of COVID-19, strengthening regulatory lockdown laws, improving guarantees for adhering to preventive guidelines, providing easy access to preventive supplies, and strengthening financial support for households with precarious employment are all important.
Subject(s)
COVID-19 , Social Determinants of Health , COVID-19/prevention & control , Communicable Disease Control , Humans , Iran , Qualitative Research , Social FactorsABSTRACT
Word senses are the fundamental unit of description in lexicography, yet it is rarely the case that different dictionaries reach any agreement on the number and definition of senses in a language. With the recent rise in natural language processing and other computational approaches there is an increasing demand for quantitatively validated sense catalogues of words, yet no consensus methodology exists. In this paper, we look at four main approaches to making sense distinctions: formal, cognitive, distributional, and intercultural and examine the strengths and weaknesses of each approach. We then consider how these may be combined into a single sound methodology. We illustrate this by examining two English words, "wing" and "fish," using existing resources for each of these four approaches and illustrate the weaknesses of each. We then look at the impact of such an integrated method and provide some future perspectives on the research that is necessary to reach a principled method for making sense distinctions.
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Being COVID-19 positive and then dying causes a slew of personal, familial, and social issues for family members. Therefore, the current study was carried out to analyze the lived experiences and issues of COVID-19 victims' families in Tehran, Iran. The phenomenological approach was used in the qualitative analysis of 21 first-degree relatives of COVID-19 victims. From August 22 to October 21, 2020, data was gathered by phone (4 people) and in-person (17 people) using semi-structured interviews. The subjects were chosen through purposeful and snowball sampling. The MAXQDA-2018 program was used to organize the data, and the Colaizzi analytical technique was used to analyze it. Guba and Lincoln's criteria were also used to assess the findings' quality. After analyzing the data, 2 main categories and 14 subcategories were extracted, including (1) challenges in caring for a COVID-19 patient (being rejected, limited access to medical facilities, dissatisfaction with the behavior of medical staff, disruption of family life, the challenge of managing family members' behavior with the patient, and living with doubts and worries (2) challenges after a COVID-19 patient's death (incomplete farewell to the corpse, unbelievability of the death, ambiguity and tension in the burial process, lonely burial, the twinge of conscience, worry about not respecting the deceased, incomplete condolences, and abandonment). The troubles of victims' families can be ameliorated by developing the skills of caring for COVID-19 patients at home, providing medical and psychological services to families before and after the patient's death, appropriately informing the families to guarantee them about dignity and respect and respect of the deceased at the interment, and developing a culture of virtual condolence to provide emotional support to survivors.
Subject(s)
COVID-19 , Family/psychology , Humans , Iran , Qualitative Research , SARS-CoV-2ABSTRACT
Understanding the drug solubility behavior is likely the first essential requirement for designing the supercritical technology for pharmaceutical processing. Therefore, this study utilizes different machine learning scenarios to simulate the solubility of twelve non-steroidal anti-inflammatory drugs (NSAIDs) in the supercritical carbon dioxide (SCCO2). The considered NSAIDs are Fenoprofen, Flurbiprofen, Ibuprofen, Ketoprofen, Loxoprofen, Nabumetone, Naproxen, Nimesulide, Phenylbutazone, Piroxicam, Salicylamide, and Tolmetin. Physical characteristics of the drugs (molecular weight and melting temperature), operating conditions (pressure and temperature), and solvent property (SCCO2 density) are effectively used to estimate the drug solubility. Monitoring and comparing the prediction accuracy of twelve intelligent paradigms from three categories (artificial neural networks, support vector regression, and hybrid neuro-fuzzy) approves that adaptive neuro-fuzzy inference is the best tool for the considered task. The hybrid optimization strategy adjusts the cluster radius of the subtractive clustering membership function to 0.6111. This model estimates 254 laboratory-measured solubility data with the AAPRE = 3.13%, MSE = 2.58 × 10-9, and R2 = 0.99919. The leverage technique confirms that outliers may poison less than four percent of the experimental data. In addition, the proposed hybrid paradigm is more reliable than the equations of state and available correlations in the literature. Experimental measurements, model predictions, and relevancy analyses justified that the drug solubility in SCCO2 increases by increasing temperature and pressure. The results show that Ibuprofen and Naproxen are the most soluble and insoluble drugs in SCCO2, respectively.
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Introduction: Social support is a leading contributing factor for older adults' well-being. The present study aimed to compare the impact of two-way (providing and receiving) social support on the well-being of Iranian older adults. Methods: The present cross-sectional study was conducted on 1280 community-dwelling older adults in Tehran, Iran, 2020. The researcher used the clustered sampling method and the 2-way Social Support Scale (SSS) to collect samples and measure social support, respectively. The well-being was measured by the self-reported World Health Organization-Five Well-Being Index (WHO-5). Bivariate and hierarchical linear regression analyses were performed to compare the effects of social support aspects on well-being. Data were analyzed using SPSS 20.0. A significance level of p≤0.05 was considered statistically significant. Results: The mean age of the respondents was 70.90 (SD=8.07), and about 70% of the sample was married. The mean scores of taking and providing social support were 20.70 ±7.52 and 17.71 ±7.82, respectively. The hierarchical regression analysis revealed that providing social support is significantly associated with the well-being of older adults beyond and over receiving social support and possible contributing factors (∆F=30.25; ∆R2= 0.39, p<0.05). Conclusion: The results showed that providing social support is more important than receiving it. Older adults should participate in social activities to provide social support.
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The present study was designed to validate an English version of the mental health literacy scale into Persian, in Iran. Statistical population consisted of all residents of 22 municipal districts of Tehran, Iran, in 2018. Multistage sampling methods were used (sample size = 1026). All participants filled the Mental Health Literacy scale; 12-item General Health Questionnaire; Multidimensional Health Locus of Control scale and a demographic checklist. Exploratory and confirmatory factor analysis, the intra-class correlation coefficient was used for analysing data. All analyses were run with SPSS and AMOS Graphics version 18. Exploratory factor analysis revealed five components (24 items) explaining 21.68%, 20.24%, 8.97%, 6.48% and 5.36% of the variance respectively (totally explained variance = 62.74%). Confirmatory factor analysis showed an acceptable goodness-of-fit (CMIN/DF = 3.19, GFI = 0.887, CFI = 0.893, IFI = 0.894, TLI = 0.877, RMSEA = 0.065). The values of Cronbach's alpha showed satisfactory internal consistency. Two clinical correlates of mental health literacy were investigated. The structure of the mental health literacy scale was to some extent different from the one in O'Connor et al. study, but it was consistent with the definition of MHL presented by Jorm et al. This is the first Persian version of the MHL in the general population in Iran and undoubtedly needs to be checked on more studies.
Subject(s)
Health Literacy , Cross-Sectional Studies , Factor Analysis, Statistical , Humans , Iran , Psychometrics/methods , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
OBJECTIVES: Use of traditional herbal medicines especially by those affected by chronic diseases, such as diabetes mellitus is important. The objective of this study was to assess trend and Pattern of using traditional herbal medicines by diabetic population in Iran. METHODS: The results of this study are extracted from the National Stepwise approach to chronic disease risk factor surveillance (STEPs), conducted in 2005- 2016 in Iran. A total of 3095 Iranian diabetic individuals, aged more than 25 years in 2005, 1470 diabetics in 2006, 1633 diabetics in 2007, 1652 diabetics in 2008, 1563 diabetics in 2009, and 1005 diabetics in 2011 were included in this study. We couldn't use data in 2016 because in 2016, traditional herbal use has not been questioned. First, a descriptive analysis of the study variables and prevalence of herbal use for each year, was performed. Thereafter, to determine which variables were independent predictors of adherence to herbal use, we performed multivariate logistic regression. RESULTS: Using traditional herbal medicines among Iranian adult population was increased from 11.1 (9.98-12.20) in 2005 to 23.5 (20.87-26.25) in 2011. The results show increase in herbal medicine use in all age groups, both urban and rural areas, and both male and female over time. Also, we found that using traditional herbal medicines was more common among female compared with male (24.2% versus 21.8%), older than middle-aged people (24.4% versus 15.9%), and people living in urban areas compared with rural area (24.13% versus 20.95%) in 2011. CONCLUSION: The use of traditional herbs for treatment, alone or in combination with other therapies by the patients who have diabetes has increased over the time. Considering the high level of using traditional herbal medicines in treatment of diabetes and because of the possible herb-drug interactions, policymakers need to take appropriate interventions to control herb store and increase people's knowledge about the herbal usage.