A. Pisaruk, N. Koshel, Ludmila Pysaruk, V. Shatilo
{"title":"COVID-19对人类衰老迹象的影响","authors":"A. Pisaruk, N. Koshel, Ludmila Pysaruk, V. Shatilo","doi":"10.47855/JAL9020-2021-2-3","DOIUrl":null,"url":null,"abstract":"Abstract. The symptoms of post-COVID-19 syndrome (PPCS) are nonspecific and similar to those signs of aging. Therefore, it was suggested that those who have recovered from COVID-19 have accelerating the aging of the body. The aim of this work was to assess the influence of COVID-19 on the frequency of signs of aging. To collect the data, there was used a developed questionnaire, which included 17 signs of aging. There were received the answers from 306 people at the age from 30 to 70 years old. Among them, 98 people have had COVID-19. The average age of the people in the post-COVID-19 and COVID-19-free groups was 51,3 ± 1,65 and 50,4 ± 1,17, respectively (p> 0,05). The frequency of 14 signs of aging was significantly (p <0,01) higher among post-COVID-19 people. Particularly significant differences between post-COVID-19 and COVID-19-free were in the group of people under the age of 50 years old. The data, received by us, allowed to develop a computational procedure for diagnosing of PPCS. The task of attributing of the surveyed people to the post-COVID-19 and COVID-19-free group in accordance with the presence of certain symptoms was solved with the help of the Bayesian method in Gubler's modification, multiple logistic regression and neural network analysis. The developed diagnostic procedures can be used for the identification of the people with a high probability of the developing of PPCS.\nKeywords: rate of aging, post-COVID-19 syndrome, questionnaire","PeriodicalId":73588,"journal":{"name":"Journal of ageing and longevity","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of COVID-19 on the signs of human ageing\",\"authors\":\"A. Pisaruk, N. Koshel, Ludmila Pysaruk, V. Shatilo\",\"doi\":\"10.47855/JAL9020-2021-2-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. The symptoms of post-COVID-19 syndrome (PPCS) are nonspecific and similar to those signs of aging. Therefore, it was suggested that those who have recovered from COVID-19 have accelerating the aging of the body. The aim of this work was to assess the influence of COVID-19 on the frequency of signs of aging. To collect the data, there was used a developed questionnaire, which included 17 signs of aging. There were received the answers from 306 people at the age from 30 to 70 years old. Among them, 98 people have had COVID-19. The average age of the people in the post-COVID-19 and COVID-19-free groups was 51,3 ± 1,65 and 50,4 ± 1,17, respectively (p> 0,05). The frequency of 14 signs of aging was significantly (p <0,01) higher among post-COVID-19 people. Particularly significant differences between post-COVID-19 and COVID-19-free were in the group of people under the age of 50 years old. The data, received by us, allowed to develop a computational procedure for diagnosing of PPCS. The task of attributing of the surveyed people to the post-COVID-19 and COVID-19-free group in accordance with the presence of certain symptoms was solved with the help of the Bayesian method in Gubler's modification, multiple logistic regression and neural network analysis. The developed diagnostic procedures can be used for the identification of the people with a high probability of the developing of PPCS.\\nKeywords: rate of aging, post-COVID-19 syndrome, questionnaire\",\"PeriodicalId\":73588,\"journal\":{\"name\":\"Journal of ageing and longevity\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of ageing and longevity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47855/JAL9020-2021-2-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of ageing and longevity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47855/JAL9020-2021-2-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract. The symptoms of post-COVID-19 syndrome (PPCS) are nonspecific and similar to those signs of aging. Therefore, it was suggested that those who have recovered from COVID-19 have accelerating the aging of the body. The aim of this work was to assess the influence of COVID-19 on the frequency of signs of aging. To collect the data, there was used a developed questionnaire, which included 17 signs of aging. There were received the answers from 306 people at the age from 30 to 70 years old. Among them, 98 people have had COVID-19. The average age of the people in the post-COVID-19 and COVID-19-free groups was 51,3 ± 1,65 and 50,4 ± 1,17, respectively (p> 0,05). The frequency of 14 signs of aging was significantly (p <0,01) higher among post-COVID-19 people. Particularly significant differences between post-COVID-19 and COVID-19-free were in the group of people under the age of 50 years old. The data, received by us, allowed to develop a computational procedure for diagnosing of PPCS. The task of attributing of the surveyed people to the post-COVID-19 and COVID-19-free group in accordance with the presence of certain symptoms was solved with the help of the Bayesian method in Gubler's modification, multiple logistic regression and neural network analysis. The developed diagnostic procedures can be used for the identification of the people with a high probability of the developing of PPCS.
Keywords: rate of aging, post-COVID-19 syndrome, questionnaire