Background: Due to the growing number of disabilities in elderly, Attention to this period of life is essential to be considered. Few studies focused on the physical, mental, disabilities, and disorders affecting the quality of life in elderly people. SA1 is related to various factors influencing the elderly's life. So, the objective of the current study is to build an intelligent system for SA prediction through ANN2 algorithms to investigate better all factors affecting the elderly life and promote them.
Methods: This study was performed on 1156 SA and non-SA cases. We applied statistical feature reduction method to obtain the best factors predicting the SA. Two models of ANNs with 5, 10, 15, and 20 neurons in hidden layers were used for model construction. Finally, the best ANN configuration was obtained for predicting the SA using sensitivity, specificity, accuracy, and cross-entropy loss function.
Results: The study showed that 25 factors correlated with SA at the statistical level of P < 0.05. Assessing all ANN structures resulted in FF-BP3 algorithm having the configuration of 25-15-1 with accuracy-train of 0.92, accuracy-test of 0.86, and accuracy-validation of 0.87 gaining the best performance over other ANN algorithms.
Conclusions: Developing the CDSS for predicting SA has crucial role to effectively inform geriatrics and health care policymakers decision making.
Background: Irisin, a myokine that is responsive to exercise, induces significant changes in subcutaneous adipose tissue. By promoting the browning of white fat tissue, it enhances energy expenditure, thereby addressing overweight and obesity. This systematic review and meta-analysis aimed to compare the effects of different types of physical exercises on irisin levels in overweight and obese adults.
Methods: Specifically, the review focused on studies involving obese or overweight individuals who participated in exercise training for a minimum of 8 weeks, with measured and reported changes in serum irisin levels compared to a control group. Data were collected from four databases (Google Scholar, ISI Web of Science Core Collection, PubMed, and Scopus). The risk of bias was assessed using the Begg and Egger tests, and the results were synthesized.
Results: Initial searches identified 560 titles, out of which only seven met the criteria for inclusion in the systematic review. Statistical analysis demonstrated a significant increase in serum irisin concentration (SMD = 0.957, P = 0.005) among obese and overweight individuals who engaged in exercise, compared to the passive control group. High-intensity interval training (HIIT) (SMD = 1.229, P < 0.001) had a more pronounced effect on increasing serum irisin levels than other exercise protocols. Furthermore, the effectiveness of exercise varied based on the participants' weight status (significant changes for overweight individuals; P < 0.001 and insignificant changes for obese individuals; P = 0.1), age (significant changes for those under 40 years old; P < 0.001 and insignificant changes for those over 40 years old; P = 0.322), and gender (significant changes for men; P < 0.001 and insignificant changes for women; P = 0.285).
Conclusions: Consequently, exercise can elevate serum irisin levels, leading to alterations in adipose tissue phenotype and thermogenesis, ultimately contributing to weight reduction in obese and overweight individuals.
Background: The extensive use of various electronic games and communication devices, particularly among children and adolescents, has raised concerns, particularly during the COVID-19 pandemic. This study investigated the link between screen time and internalizing disorders, such as anxiety and depression, among individuals aged ≤18 during the global COVID-19 pandemic.
Methods: This systematic review aims to summarize scientific publications from 2019 to early 2022 by searching databases, including the Cochrane Library, PubMed, Web of Science, Scopus, and PsycINFO, to identify suitable studies. In each paper, we searched the following keywords and their synonyms: screen, child, high school, middle school, and psychiatric disorders. The quality of the selected papers was evaluated using a checklist recommended by the National Institutes of Health (NIH) for observational cohort studies.
Results: Out of 986 reports identified, we included 12 papers with 14,483 participants. The study revealed a negative correlation between screen time (TV, computer, video games, and mobile phones) and behavioral outcomes. Smartphones were the most frequently used devices, with video games being more prevalent among older participants for education, communication, and entertainment purposes. The prevalence of depression ranged between 10% and 25%. Furthermore, anxiety and depression were identified as predictors of increased screen usage. Some results displayed variation based on the type of screen exposure, the questionnaires used, and the age of the participants.
Conclusions: The findings imply an indirect association between increased screen time and depression and anxiety. It is crucial to consider limitations on screen time exposure and parental supervision as measures to prevent certain mental disorders.
Background: Today, the technologies in the world are rapidly evolving, and global infrastructure of information is spreading rapidly. The health system of different countries is facing a variety of challenges in order to apply telemedicine services. The aim of this study was to determine the challenges facing the health system of different countries in the application of telemedicine.
Method: The present research was conducted in 2022 as a systematized review of studies related to challenges of telemedicine. In this study, Preferred Reporting Items for Systematic Reviews (PRISMA) and Critical Appraisal Skills Program (CASP) guidelines were used to assess the articles. The keywords "telemedicine," "telehealth," "E-health," and "tele care" were used in combination with the Boolean operators OR and AND. The ISI Web of Science, PubMed, Scopus, Science Direct, Ovid, Pro Quest, Wiley, and Google Scholar were searched.
Results: In this study, based on the search strategy, databases were searched from January 2012 to January 2022, and in the final stage, analysis was performed on 27 selected identified articles. The use of telemedicine technology faced major formality and legality, required bandwidth, development of multilingual systems, economic efficiency, available patterns, payment for services, moral barriers, social status, differences and national and legal contradictions in the world, lack of insurance coverage challenges, and so on. Recognizing gaps and challenges can provide a way to fill these gaps and create opportunities for improvement.
Conclusions: Utilizing telemedicine technology can be considered as an effective step in the health system. This technology has weaknesses that may challenge it. Successful application of telemedicine technology cannot be very effective without removing these barriers.
Background: The Healthy Eating Index (HEI) and Alternate Healthy Eating Index (AHEI) are instruments developed by competing American research teams, aiming to assess the level of adherence to a dietary pattern, claimed to prevent chronic illness conditions such as dyslipidemia. This systematic review evaluated cross-sectional studies examining the association between HEI/AHEI score and the lipid profile in healthy participants.
Methods: The systematic review was Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) compliant, and a search process was conducted through Scopus, Web of Knowledge, Google Scholar, Cochrane, PubMed, and ScienceDirect up to November 2022. Studies assessing the relationship between HEI/AHEI and lipid profile (low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG)) were eligible for inclusion. The statistical differences in outcomes, anthropometric indices, and demographic data were extracted from the selected studies. Also, the quality assessment of studies was performed using the Newcastle-Ottawa scale.
Results: The systematic search presented 17 cross-sectional studies. Most of the studies revealed a significant correlation between HEI score and lipid profile (LDL-C, HDL-C, TG, and TC) (P < 0.05), while a few of them indicated a significant relationship between AHEI score and these factors. Overall, the elevation of HEI/AHEI score was associated with the improvement in lipid profile (P < 0.05), though this association was more obvious for HEI compared with AHEI.
Conclusions: Overall, the results of the study indicated that an improved lipid profile in healthy individuals is associated with a higher score in either HEI or AHEI. Further research in the future is required to confirm the claim.
Background: Since colorectal cancer is one of the most important types of cancer in the world that often leads to death, computer-aided diagnostic (CAD) systems are a promising solution for early diagnosis of this disease with fewer side effects than conventional colonoscopy. Therefore, the aim of this research is to design a CAD system for processing colorectal Computerized Tomography (CT) images using a combination of an artificial neural network and a particle swarm optimizer.
Method: First, the data set of the research was created from the colorectal CT images of the patients of Loghman-e Hakim Hospitals in Tehran and Al-Zahra Hospitals in Isfahan who underwent colorectal CT imaging and had conventional colonoscopy done within a maximum period of one month after that. Then the steps of model implementation, including electronic cleansing of images, segmentation, labeling of samples, extraction of features, and training and optimization of the artificial neural network (ANN) with a particle swarm optimizer, were performed. A binomial statistical test and confusion matrix calculation were used to evaluate the model.
Results: The values of accuracy, sensitivity, and specificity of the model with a P value = 0.000 as a result of the McNemar test were 0.9354, 0.9298, and 0.9889, respectively. Also, the result of the P value of the binomial test of the ratio of diagnosis of the model and the radiologist from Loqman Hakim and Al-Zahra Hospitals was 0.044 and 0.021, respectively.
Conclusions: The results of statistical tests and research variables show the efficiency of the CTC-CAD system created based on the hybrid of the ANN and particle swarm optimization compared to the opinion of radiologists in diagnosing colorectal polyps from CTC images.
Background: Impact/impulse and continuous noise are two main causes of noise-induced hearing loss (NIHL) in workplaces. The aim of this study was to compare the effects of impulse/impact noise and continuous noise on hearing status.
Methods: In this study, 259 workers referred to the occupational medicine clinic of Shahid Rahnemoun hospital, Yazd, Iran, entered the study and were divided into two groups: with exposure to impact/impulse noise and with exposure to continuous noise. Hearing thresholds were measured and compared between the two groups by pure-tone audiometry (PTA). The frequency of hearing loss and audiometric notch according to the results of PTA was compared between the two groups. Data were analyzed by SPSS (ver. 16) using Student's t-test, Chi-square test, and Mann-Whitney U test.
Results: Hearing thresholds were significantly higher at all frequencies in the impact noise group. The hearing threshold at 6000 Hz was higher than other frequencies in both groups. The frequency of hearing loss at high frequencies was higher in the impact group. The frequency of audiometric notch was not significantly different between the two groups.
Conclusions: The results of this study showed that hearing loss after exposure to impact/impulse noise is probably more frequent and more severe than exposure to continuous noise, but the pattern of hearing loss is similar in both types of noise exposure.
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：