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Health literacy is a crucial factor in determining one's health outcomes. Individuals with high health literacy possess the ability to access, comprehend, evaluate, and utilize health information to maintain, enhance, and advocate for good health. This study aimed to develop and validate a tool called the Health Literacy Questionnaire for Older Adults (HLQ-OA) specifically designed to assess the health literacy of community-dwelling older adults in Taiwan. The development of the HLQ-OA occurred in two phases. Firstly, a systematic literature review was conducted, followed by the evaluation of content validity and face validity through expert and older adult assessments. Subsequently, a cross-sectional study was carried out, involving a convenient sample of 481 older adults from community-dwelling long-term care stations. The final version of the HLQ-OA comprised 16 items that assessed four competencies associated with accessing, understanding, appraising, and applying health-related information. The HLQ-OA demonstrated excellent internal consistency, with an overall Cronbach's α coefficient of 0.94. Additionally, the model fit indices indicated an acceptable fit: RMSEA = 0.046, GFI = 0.909, CFI = 0.945, TLI = 0.939. Furthermore, a high correlation was observed between the HLQ-OA and the HL-SF12 (r  = 0.832). These findings support the reliability and validity of the HLQ-OA as a tool for assessing the health literacy of older adults. In conclusion, the HLQ-OA is a reliable and valid instrument that can be effectively utilized to measure the health literacy levels of older adults. [ABSTRACT FROM AUTHOR]

Atopic dermatitis (AD) is a complex, chronic inflammatory skin disease. An estimated 57.5% of asthmatic patients and 50.7% of rhinitis patients are allergic to cockroaches in Taiwan. However, the role of cockroaches in the pathogenesis of AD is undetermined. Oral tolerance might be another strategy for protecting against AD and allergic inflammation by regulating T helper 2 (Th2) immune responses. Aim to examine the underlying immunologic mechanism, we developed an AD-like murine model by skin-brushing with cockroach Per a 2. We also investigated whether the systemic inflammation of AD in this murine model could be improved by specific tolerance to Lactococcus lactis-expressing Per a 2, which was administered orally. Repeated painting of Per a 2 without adjuvant to the skin of mice resulted in increased total IgE, Per a 2-specific IgE, and IgG1, but not IgG2a. In addition, epidermal thickening was significantly increased, there were more scratch episodes, and there were increases in total white blood cells (eosinophil, neutrophil, and lymphocyte) and Th2 cytokines (Interleukin (IL)-4, IL-5, IL-9, and IL-13) in a dose-dependent manner. The results revealed that oral administration of L. lactis-Per a 2 ameliorated Per a 2-induced scratch behavior and decreased the production of total IgE, Per a 2-specific IgE, and IgG1. Furthermore, L. lactis-Per a 2 treatment also suppressed inflammatory infiltration, expressions of thymic stromal lymphopoietin (TSLP) and IL-31 in skin lesions, and downregulated splenic IL-4 and IL-13 in Per a 2-induced AD mice. This study provides evidence supporting that repeated brushing of aeroallergens to the skin leads to atopic dermatitis phenotypes and oral allergen-specific immune tolerance can ameliorate AD-like symptoms and systemic inflammation and prevent progression of atopic march. [ABSTRACT FROM AUTHOR]

Background: The successful completion of medical practices often relies on information collection and analysis. Government agencies and medical institutions have encouraged people to use medical information technology (MIT) to manage their conditions and promote personal health. In 2014, Taiwan established the first electronic personal health record (PHR) platform, My Health Bank (MHB), which allows people to access and manage their PHRs at any time. In the face of the COVID-19 pandemic in 2020, Taiwan has used MIT to effectively prevent the spread of COVID-19 and undertaken various prevention measures before the onset of the outbreak. Using MHB to purchase masks in an efficient and orderly way and thoroughly implementing personal protection efforts is highly important to contain disease spread. Objective: This study aims to understand people's intention to use the electronic PHR platform MHB and to investigate the factors affecting their intention to use this platform. Methods: From March 31 to April 9, 2014, in a promotion via email and Facebook, participants were asked to fill out a structured questionnaire after watching an introductory video about MHB on YouTube. The questionnaire included seven dimensions: perceived usefulness, perceived ease of use, health literacy, privacy and security, computer self-efficacy, attitude toward use, and behavioral intention to use. Each question was measured on a 5-point Likert scale ranging from "strongly disagree" (1 point) to "strongly agree" (5 points). Descriptive statistics and structural equation analysis were performed using SPSS 21 and AMOS 21 software. Results: A total of 350 valid questionnaire responses were collected (female: 219/350, 62.6%; age: 21-30 years: 238/350, 68.0%; university-level education: 228/350, 65.1%; occupation as student: 195/350, 56.6%; average monthly income 2310=2.63), goodness-of-fit index (0.85), adjusted goodness-of-fit index (0.81), comparative fit index (0.91), and root mean square error of approximation (0.07), were calculated. The results indicated a good fit. Further analysis indicated that the most important factor affecting respondents' behavioral intention to use MHB was their attitude toward use (0.78), followed by perceived ease of use (0.65), perceived usefulness (0.41), health literacy (0.10), and privacy and security (0.07). Conclusions: From the perspective of the populace, this study explored the factors affecting the use of MHB and constructed an interpretation model with a strong goodness of fit. The results of our analysis are consistent with the technology acceptance model. Through the diverse value-added services of MHB, Taiwan's experience in pandemic prevention with smart technology can facilitate future responses to unknown, emerging infectious diseases. J Med Internet Res 2021;23(4):e27069 doi:10.2196/27069 [ABSTRACT FROM AUTHOR]

This study applies big data mining, machine learning analysis technique and uses the Waikato Environment for Knowledge Analysis (WEKA) as a tool to discuss the convenience stores energy consumption performance in Taiwan which consists of (a). Influential factors of architectural space environment and geographical conditions; (b). Influential factors of management type; (c). Influential factors of business equipment; (d). Influential factors of local climatic conditions; (e). Influential factors of service area socioeconomic conditions. The survey data of 1,052 chain convenience stores belong to 7-Eleven, Family Mart and Hi-Life groups by Taiwan Architecture and Building Center (TABC) in 2014. The implicit knowledge will be explored in order to improve the traditional analysis technique which is unlikely to build a model for complex, inexact and uncertain dynamic energy consumption system for convenience stores. The analysis process comprises of (a). Problem definition and objective setting; (b). Data source selection; (c). Data collection; (d). Data preprocessing/preparation; (e). Data attributes selection; (f). Data mining and model construction; (g). Results analysis and evaluation; (h). Knowledge discovery and dissemination. The key factors influencing the convenience stores energy consumption and the influence intensity order can be explored by data attributes selection. The numerical prediction model for energy consumption is built by applying regression analysis and classification techniques. The optimization thresholds of various influential factors are obtained. The different cluster data are compared by using clustering analysis to verify the correlation between the factors influencing the convenience stores energy consumption characteristic. The implicit knowledge of energy consumption characteristic obtained by the aforesaid analysis can be used to (a). Provide the owners with accurate predicted energy consumption performance to optimize architectural space, business equipment and operations management mode; (b). The design planners can obtain the optimum design proposal of Cost Performance Ratio (C/P) by planning the thresholds of various key factors and the validation of prediction model; (c). Provide decision support for government energy and environment departments, to make energy saving and carbon emission reduction policies, in order to estimate and set the energy consumption scenarios of convenience store industry. [ABSTRACT FROM AUTHOR]

With the use of fuzzy analytic hierarchical process (FAHP) and fuzzy transformation matrix (FTM), this research takes the policies related to intelligent green building promoted in Taiwan during 1999–2015 as subjects, so as to extract the collective intelligence of senior domain experts to evaluate the contribution weight ranking of each policy measures to achieve policy goals; in addition, with the implementation of policy measures of green building label, intelligent building label and green building material label in each year during this period, the growth and decline in evaluation cases are analyzed to testify the feasibility of policy evaluation method proposed. The results show that: 1.Use of FAHP and FTM to extract the collective intelligence from senior experts can establish policy evaluation method with reference value; 2.The additional building bulk incentive for private building, mandatory control for public building, mandatory incorporation of green public purchase into green building material are the most effective policy measures in Taiwan; 3.Implementation of control measures in the stage of design and planning for new buildings is superior to the control in the stage of operation and management in effectiveness. [ABSTRACT FROM AUTHOR]

In this study, the National Health Insurance Research Database of Taiwan was used to examine the recurrence and death risk for stage 0 colorectal cancer patients. We examined stage 0 colorectal cancer patients to identify factors causing recurrence and death.This is a retrospective study, and stage 0 colorectal cancer patients that are registered in the Taiwan Cancer Registry of the Health Promotion Administration in 2007 to 2012 were included. The database was linked to the National Health Insurance Research Database, and subjects were followed up until the end of 2016. The mean follow-up period was 69 months. Bivariate analysis methods (log-rank test) and Cox proportional hazards model were used to evaluate the risk of recurrence and death and demographic characteristics, economic factors, environmental factors, health factors, treatment and hospitals, and absence/presence of postoperative tests were used to examine related risk factors.Our study showed that the 5-year recurrence rate and 5-year mortality rate for stage 0 colorectal cancer are 1.68% and 0.6%, respectively. For stage 0 colorectal cancer, age (61-74 years) is the only factor affecting recurrence in patients (hazard ratio (HR) = 2.44; 95% CI: 1.41-4.22), while age >75 years (HR = 4.35; 95% CI: 1.14-16.68) and Charlson Comorbidity Index >4 points (HR = 7.20, 95% CI: 2.60-19.94) can increase the risk of death. In contrast, patients who underwent one (HR = 0.27, 95% CI: 0.10-0.71) and two or more colonoscopies (HR = 0.26, 95% CI: 0.10-0.70) within 2 years after surgery can reduce the risk of death from stage 0 colorectal cancer. In addition, the risk of recurrence is higher in patients who underwent colonoscopic polypectomy (HR = 2.07, 95% CI: 0.98-4.33) and patients with rectal cancer (HR = 2.74, 95% CI: 0.96-7.83), but these differences are not statistically significant (P > .05).From this study, we can see that age and comorbidity index increase the risk of recurrence and death for stage 0 colorectal cancer, while postoperative colonoscopy can decrease the risk of death.

Aggressive tracing of contacts of confirmed cases is crucial to Taiwan's successful control of the early spread of COVID-19. As the pandemic lingers, an epidemiological investigation that can be conducted efficiently in a timely manner can help decrease the burden on the health personnel and increase the usefulness of such information in decision making. To develop a new tool that can improve the current practice of epidemiological investigation by incorporating new technologies in digital platform and knowledge graphs. To meet the various needs of the epidemiological investigation, we decided to develop an e-Outbreak Platform that provides a semi-structured, multifaceted, computer-aided questionnaire for outbreak investigation. There are three major parts of the platform: (1) a graphic portal that allows users to have an at-glance grasp of the functions provided by the platform and then choose the one they need; (2) disease-specific questionnaires that can accommodate different formats of the information, including text typing, button selection, and pull-down menu; and (3) functions to utilize the stored information, including report generation, statistical analyses, and knowledge graphs displaying contact tracing. When the number of outbreak investigation increases, the knowledge graphs can be extended to encompass other persons appearing in the same location at the same time, i.e., constituting a potential contact cluster. The information extracted can also be used to display the tracing on a map in animation. Overall, this system can provide a basis for further refinement that can be generalized to a variety of outbreak investigations., Competing Interests: Conflicts of Interest The authors declare no conflicts of interest., (Copyright © 2020 Chang Gung University. Published by Elsevier B.V. All rights reserved.)

Background/aim: It has been previously proposed that genetic variations on DNA repair genes confer susceptibility to cancer and the DNA repair gene Xeroderma Pigmentosum Group D (XPD) is thought to play the role of a helicase during excision repair and transcription. We investigated three genotypes of XPD, at promoter -114 (rs3810366), Asp312Asn (rs1799793) and Lys751Gln (rs13181), regarding their association with colorectal cancer susceptibility in a Taiwanese population., Materials and Methods: In total, 362 patients with colorectal cancer and 362 gender- and age-matched healthy controls were genotyped by polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP), and their XPD genotypes' association with colorectal cancer risk was investigated., Results: The genotypes of XPD Asp312Asn (p=0.2493), Lys751Gln (p=0.7547) and promoter -114 (p=0.8702), were not associated with susceptibility for colorectal cancer. The Chi-square test revealed that the variant alleles of XPD Asp312Asn, Lys751Gln and promoter -114 was not associated with susceptibility for colorectal cancer either [p=0.1330, 0.3888 and 0.8740; odds ratio (OR)=1.20, 0.83 and 0.98; 95% confidence interval (95%CI)=0.95-1.52, 0.54-1.27 and 0.80-1.21, respectively]. The risk of A/G and A/A genotypes have no association with cancer risk among non-alcohol drinkers (OR=1.24, 95%, CI=0.90-1.72, p=0.2103) or alcohol drinkers (OR=1.51, 95% CI=0.64-3.55, p=0.4648). There exists no obvious contribution of XPD genotypes to tumor size (p=0.3531), location (p=0.3006) and lymph node metastasis (p=0.1061)., Conclusion: Asp312Asn, Lys751Gln and promoter -114 of the XPD gene were not found to be adequate predictive markers for colorectal cancer risk in Taiwan., (Copyright© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.)