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Objective To investigate the current status of PROMIS informational support among ostomy patients and analyze the factors influencing it. Methods　 A total of 159 ostomy patients from a tertiary hospital in Yunnan Province, China, were surveyed using the Chinese version of the PROMIS Informational Support Scale. Results The total score for self-reported information support among ostomy patients was ( 28.00±7.92). The univariate analysis was showed that ostomy systerm changing, the major caregiver number of ostomy surgery, the number of health information support had a statistical significance (P < 0.05). Pearson correlation analysis results showed that the total scores of everyday health information literacy and social support scores, the dimension of health information consciousness, application ablity, and objective social support, the usage of it, had a difference in ostomy patients (P < 0.05). The results of a multiple regression analysis indicated that the main factors affecting self-reported information support for ostomy patients included age, the way to the hospital, ostomy systerm changing, the major caregiver number of ostomy surgery, the number of health information support channels, health information application ability, and utilization of social support. It could expain 35.5% variance of the total scores for ostomy patients’ self reported information support. Conclusion　Self-reported information support among ostomy patients is found to be at a moderately low level. Healthcare professionals should diversify health information support channels, enhance patients' health information application ability, and strengthen the diversified information support so as to improve the self-reported information support among ostomy patients. [ABSTRACT FROM AUTHOR]

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Copyright of Applied Mathematics & Mechanics (1000-0887) is the property of Applied Mathematics & Mechanics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Ｗｉｔｈ ｔｈｅ ｉｎｃｒｅａｓｉｎｇ ｃｏｍｐｕｔｉｎｇ ｃａｐａｂｉｌｉｔｙ， ｎｕｍｅｒｉｃａｌ ｍａｔｅｒｉａｌ ｓｉｍｕｌａｔｉｏｎ ｂａｓｅｄ ｏｎ ｍａｔｅｒｉａｌ ｍｉｃｒｏｓｔｒｕｃｔｕｒｅ ｉｍａｇｅｓ ｈａｓ ａｔｔｒａｃｔｅｄ ｉｎｔｅｒｅｓｔ ｏｆ ｍｏｒｅ ａｎｄ ｍｏｒｅ ｒｅｓｅａｒｃｈｅｒｓ． Ｗｉｔｈｉｎ ｔｈｉｓ ｃｏｎｔｅｘｔ， ａｎ ｅｆｆｉｃｉｅｎｔ ｎｕｍｅｒｉｃａｌ ｍａｔｅｒｉａｌ ｐａｒａｍｅｔｅｒｉｚａｔｉｏｎ ｍｏｄｅｌ ｗａｓ ｐｒｏｐｏｓｅｄ ｆｏｒ ｔｈｅ ｒｅｐｒｅｓｅｎ⁃ ｔａｔｉｏｎ ｏｆ ｍａｔｅｒｉａｌ ｍｉｃｒｏｓｔｒｕｃｔｕｒｅｓ． Ｆｉｒｓｔ， ｔｈｅ ｅｉｇｅｎｖａｌｕｅ ａｎａｌｙｓｉｓ ｏｆ ｔｈｅ ｍａｔｅｒｉａｌ ｍｉｃｒｏｓｔｒｕｃｔｕｒｅ ｉｍａｇｅ ｄａｔａ ｗａｓ ｃａｒｒｉｅｄ ｏｕｔ ｔｈｒｏｕｇｈ ｔｈｅ ｐｒｏｐｅｒ ｏｒｔｈｏｇｏｎａｌ ｄｅｃｏｍｐｏｓｉｔｉｏｎ （ＰＯＤ） ｔｏ ｅｘｔｒａｃｔ ａ ｃｏｍｍｏｎ ＰＯＤ ｂａｓｉｓ． Ｔｈｅ ｍａｔｅｒｉａｌ ｍｉｃｒｏｓｔｒｕｃｔｕｒｅ ｉｍａｇｅ ｃａｎ ｂｅ ｒｅｐｒｅｓｅｎｔｅｄ ａｓ ａ ｌｉｎｅａｒ ｃｏｍｂｉｎａ⁃ ｔｉｏｎ ｏｆ ｔｈｅ ｒｅｔａｉｎｅｄ ＰＯＤ ｂａｓｉｓ． Ｔｈｅｎ， ｒｅｓｐｏｎｓｅ ｓｕｒｆａｃｅｓ ｏｆ ｔｈｅ ＰＯＤ ｐｒｏｊｅｃｔｉｏｎ ｃｏｅｆｆｉｃｉｅｎｔｓ ｗｉｔｈ ｒｅｓｐｅｃｔ ｔｏ ｔｈｅ ｃｏｎｔｒｏｌｌｉｎｇ ｐａｒａｍｅｔｅｒｓ ｗｅｒｅ ｂｕｉｌｔ ｗｉｔｈ ｔｈｅ ｍｅｔｈｏｄ ｏｆ ｍｏｖｉｎｇ ｌｅａｓｔ ｓｑｕａｒｅｓ． Ｂｙ ｍｅａｎｓ ｏｆ ｔｈｉｓ ｎｕｍｅｒｉｃａｌ ｐａｒａｍｅｔｅｒｉｚａｔｉｏｎ ｍｏｄｅｌ， ｔｈｅ ｃｏｒｒｅｓｐｏｎｄｉｎｇ ｍａｔｅｒｉａｌ ｍｉｃｒｏｓｔｒｕｃｔｕｒｅ ｉｍ⁃ ａｇｅ ｆｏｒ ａｒｂｉｔｒａｒｙ ｉｎｐｕｔ ｃｏｎｔｒｏｌｌｉｎｇ ｐａｒａｍｅｔｅｒｓ ｃａｎ ｂｅ ｒｅｃｏｎｓｔｒｕｃｔｅｄ． Ａｐｐｌｉｃａｔｉｏｎ ｏｆ ｔｈｉｓ ｍｏｄｅｌ ｗａｓ ｄｅｍｏｎｓｔｒａｔｅｄ ｉｎ ｖｉｅｗ ｏｆ ａ ｓｅｔ ｏｆ ２⁃ｐｈａｓｅ ｃｏｍｐｏｓｉｔｅ ｍａｔｅｒｉａｌ ｓｎａｐｓｈｏｔｓ． Ｔｈｉｓ ｐａｒａｍｅｔｅｒｉｚｅｄ ｍａｔｅｒｉａｌ ｍｉｃｒｏｓｔｒｕｃｔｕｒｅ ｒｅｐｒｅｓｅｎｔａｔｉｏｎ ｍｏｄｅｌ ｃａｎ ａｌｓｏ ｂｅｅｎ ａｐｐｌｉｅｄ ｔｏ ｔｈｅ ｏｐｔｉｍａｌ ｄｅｓｉｇｎ ｏｆ ｍａ⁃ ｔｅｒｉａｌ ｅｆｆｅｃｔｉｖｅ ｍｅｃｈａｎｉｃａｌ ｐｒｏｐｅｒｔｉｅｓ． [ABSTRACT FROM AUTHOR]