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6. A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life

Author

Wang, Aiguo, An, Ning, Lu, Xin, Chen, Hongtu, Li, Changqun, and Levkoff, Sue

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundThere are several mobile apps that offer tools for disease prevention and management among older adults, and promote health behaviors that could potentially reduce or delay the onset of disease. A classification scheme that categorizes apps could be useful to both older adult app users and app developers. ObjectiveThe objective of our study was to build and evaluate the effectiveness of a classification scheme that classifies mobile apps available for older adults in the “Health & Fitness” category of the iTunes App Store. MethodsWe constructed a classification scheme for mobile apps according to three dimensions: (1) the Precede-Proceed Model (PPM), which classifies mobile apps in terms of predisposing, enabling, and reinforcing factors for behavior change; (2) health care process, specifically prevention versus management of disease; and (3) health conditions, including physical health and mental health. Content analysis was conducted by the research team on health and fitness apps designed specifically for older adults, as well as those applicable to older adults, released during the months of June and August 2011 and August 2012. Face validity was assessed by a different group of individuals, who were not related to the study. A reliability analysis was conducted to confirm the accuracy of the coding scheme of the sample apps in this study. ResultsAfter applying sample inclusion and exclusion criteria, a total of 119 apps were included in the study sample, of which 26/119 (21.8%) were released in June 2011, 45/119 (37.8%) in August 2011, and 48/119 (40.3%) in August 2012. Face validity was determined by interviewing 11 people, who agreed that this scheme accurately reflected the nature of this application. The entire study sample was successfully coded, demonstrating satisfactory inter-rater reliability by two independent coders (95.8% initial concordance and 100% concordance after consensus was reached). The apps included in the study sample were more likely to be used for the management of disease than prevention of disease (109/119, 91.6% vs 15/119, 12.6%). More apps contributed to physical health rather than mental health (81/119, 68.1% vs 47/119, 39.5%). Enabling apps (114/119, 95.8%) were more common than reinforcing (20/119, 16.8%) or predisposing apps (10/119, 8.4%). ConclusionsThe findings, including face validity and inter-rater reliability, support the integrity of the proposed classification scheme for categorizing mobile apps for older adults in the “Health and Fitness” category available in the iTunes App Store. Using the proposed classification system, older adult app users would be better positioned to identify apps appropriate for their needs, and app developers would be able to obtain the distributions of available mobile apps for health-related concerns of older adults more easily.

Published
2014
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24. Design and Implementation of Manned Spacecraft Extravehicular Camera Maintenance

Author

Yi, Yusheng, Li, Liling, Luo, Peng, Wang, Aiguo, Xu, Qi, Li, Zhihai, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Long, Shengzhao, editor, and Dhillon, Balbir S., editor

Published
2023
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25. Rapamycin alleviates hepatocellular carcinoma progressing in transgenic mice

Author

LIN Yingxue, CUI Haipeng, WANG Aiguo, YAO Yinhui, ZHAO Juan

Subjects
hepatocellular carcinoma, rapamycin, mir-183, pdcd4, Medicine
Abstract

Objective Exploring the influence of rapamycin on the progressing of hepatocellular carcinoma(HCC) in H-ras 12V transgenic mice. Methods The expression level of miRNA in liver tissue and peritumor tissue of transgenic mice was detected by high-throughput sequencing of miRNAs. Treatment of transgenic mice with rapamycin and the changes of tumor morphology were detected. The miR-183 expression levels were detected by RT-qPCR. The protein expression levels of mTOR, ERK and PDCD4, the downstream target gene of miR-183, were detected by Western blot. Results Compared with the peritumor tissue, the miR-183 expression in hepatocellular carcinoma tissue was increased significantly (P＜0.01). The protein expression levels of PDCD4 were decreased significantly(P＜0.05). Compared with the control group, after intervention with rapamycin, the counting of liver tumors decreased significantly(P＜0.05). The liver co-efficient decreased significantly(P＜0.05). The ERK phosphorylation increased significantly (P＜0.05). The miR-183 expression was decreased significantly (P＜0.05). The protein level of PDCD4 increased significantly (P＜0.05). Conclusions Rapamycin can alleviate hepatocellular carcinoma progression in H-ras 12V transgenic mice.

Published
2023
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