How does multiple sclerosis affect sexual satisfaction in patients' spouses?

Background: Sexual dysfunction (SD) is a common complaint among multiple sclerosis (MS) patients with a significant impact on the quality of life (QoL) of afflicted couples. The purpose of this study was to determine sexual satisfaction (SS) in the spouses of MS patients and its impact on the QoL. Methods: A total of 214 spouses of MS patients were enrolled in this cross-sectional study. They completed the Larson Sexual Satisfaction Questionnaire and SF-8 Health Survey. Results: The mean ± SD age of the spouses was 39.8 ± 9.7 years, and the duration of MS was 5 years or less in most of their partners. The mean ± SD score of QoL was 71.0 ± 20.3 (out of 100), and the mean SS score was 89.2 ± 18.6 (out of 125), showing moderate satisfaction. The highest score was among male spouses younger than 40 years old. The SS scores were also lower among female spouses. In the final model, it was found that SD, psychiatric symptoms, cognitive impairment, and the level of disability of patients were independent explanatory factors for the SS of their spouses. Conclusion: The findings supported the role of SS in the QoL of spouses of MS patients. Therefore, the attention of physicians to this hidden aspect of the life of MS patients is crucial.

Multiple sclerosis and COVID-19: A retrospective study in Iran.

OBJECTIVES: Previous studies suggested a higher rate of COVID-19 infection in patients with multiple sclerosis than in the general population, and limited studies addressed the impact of COVID-19 and its vaccination in patients with multiple sclerosis in Iran. We decided to investigate the factors associated with COVID-19 infection, the effects and side effects of the COVID-19 vaccination in patients with multiple sclerosis (MS). METHODS: We used the data of the patients with multiple sclerosis registered in a referral clinic in Kerman, one of the large cities in Iran (a population of 537,000 inhabitants), to explore the association between demographic variables, the history of COVID-19 vaccination, and the clinical outcomes. RESULTS: Of the 367 participants in this study, 88.3% received the COVID-19 vaccine, 35.4% were confirmed COVID-19 cases, and the incidence of COVID-19 was much higher before vaccination (24.5% before vaccination versus 10.1% after vaccination). The multivariable logistic regression model showed that male gender (OR = 2.64, 95% confidence interval: 1.21, 5.74) and current employment (OR = 3.04, 95% confidence interval: 1.59, 5.80) were associated with an increased risk of COVID-19. The only factor associated with the adverse effects of COVID-19 vaccination was the type of vaccine (AstraZeneca). CONCLUSION: Our findings showed that the vaccination protected MS cases considerably against COVID-19. In addition, the side effects of the vaccines were not noticeably high in these cases as well. Among all COVID-19 vaccines, AstraZeneca had the most common side effects, so people must be aware of them before vaccination. The male gender and employment were the most important variables in the prevalence of COVID-19 in patients with multiple sclerosis in our study.

How Much Excess Body Weight, Blood Pressure, Triglyceride, or Age Can Double the Likelihood of Diabetes Type 2?

Background: We aimed to identify the level of known risk factors of diabetes associated with doubled likelihood of diabetes type 2. Methods: In this cross-sectional study, an analysis was performed on the data of 9930 individuals aged 15 yr and older participating from 2014 to 2018 in the second phase of the Kerman coronary artery disease risk factors study (KERCADRS), Kerman, Iran. Data were collected using a standard questionnaire. Multivariable logistic regression was performed to identify factors associated with doubled chance of diabetes. Results: The mean age of participants was 46.1±15.5 yr from which 59.5% were women. Overall, 1105 (11.1%) individuals had type 2 diabetes. An increase of 13.86 yr in age, an increase of 17.32 kg/m2 unit in the amount of body mass index, an increase of 0.17 in the waist-to-hip ratio, a 77 mmHg increase in systolic blood pressure and 6.07 unit increase in triglyceride to HDL ratio doubled the chances of developing type 2 diabetes. Conclusion: Slight changes in the waist-to-hip circumference ratio (0.17), aging (14 yr), and increase in TG/HDL ratio (6.07 unit) were the most important risk factors, while intense physical activity was the most important protective factor associated with doubling of the chances of developing diabetes. Since most of these risk factors are modifiable, increase in physical activity and providing facilities to improve lifestyle in the community seems necessary.

Rumor surveillance methods in outbreaks: A systematic literature review.

Background: The spreading of health-related rumors can profoundly put society at risk, and the investigation of strategies and methods can efficiently prevent the dissemination of hazardous rumor is necessary, especially during a public health emergency including disease outbreaks. In this article we review the studies that implicated the surveillance system in identifying rumors and discuss the different aspects of current methods in this field. Methods: We searched PubMed, EMBASE, Scopus, and Web of Science databases for relevant publications in English from 2000 to 2020. The PICOS approach was used to select articles, and two reviewers extracted the data. Findings were categorized as a source of rumors, type of systems, data collection, and data transmission methods. The quality of the articles was assessed using the Mixed Method Appraisal Tool (MMAT) checklist. Results: Five studies that presented the methods used for rumor detection in different outbreaks were included in the critical appraisal process. Findings were grouped into four categories: source of rumors, type of systems, data collection, and data transmission methods. The source of rumors in most studies was media, including new social and traditional media. The most used data collection methods were human-computer interaction technique, and automatic and manual methods each were discussed in one study. Also, the data transmission method was asynchronous in the majority of studies. Conclusion: Based on our findings, the most common rumor detection systems used in the outbreaks were manual and/or human-computer methods which are considered to be time-consuming processes. Due to the ever-increasing amount of modern social media platforms and the fast-spreading of misinformation in the times of outbreaks, developing the automatically and real-time tools for rumor detection is a vital need.