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  1. Article ; Online: The Predictive Effect of Negative Psychological Emotions of Anxiety and Depression on the Poor Prognosis of CHD Patients with Stent Implantation and the Improvement of Clinical Intervention Measures

    Guoxing Li / Yuhuan Tian / Qiumin Zhang / Zhaofeng Jin / Yuping Song

    Computational and Mathematical Methods in Medicine, Vol

    2022  Volume 2022

    Abstract: Objective. To explore the predictive effect of negative emotions such as anxiety and depression on the poor prognosis of coronary heart disease (CHD) patients with stent implantation and to seek the improvement of clinical intervention measures. Methods. ...

    Abstract Objective. To explore the predictive effect of negative emotions such as anxiety and depression on the poor prognosis of coronary heart disease (CHD) patients with stent implantation and to seek the improvement of clinical intervention measures. Methods. A total of 303 patients with CHD and PCI were recruited from February 2019 to April 2021. The risk factors of CHD such as anxiety and depression, age, sex, smoking and drinking, BMI, hypertension, diabetes, dyslipidemia, and family history of CHD were collected. Meanwhile, clinical data such as laboratory examination, angiography, diseased vessels, and stent types were collected. The patients were followed up for 1 year, and the medical records, hospitalization records, or death records were checked by telephone interview once a month. Major adverse cardiovascular events (MACE) such as emergency and causes, readmission times and causes, new nonfatal myocardial infarction, stent restenosis, heart failure, arrhythmia, and death were recorded. The incidence of anxiety and depression in patients after PCI was counted, and Cox regression was applied to analyze the influence and prediction of anxiety and depression on MACE in patients with CHD stent implantation and improve clinical intervention measures. Results. Compared with those without MACE, anxiety (56.25% vs 30.63%), depression (62.5% vs 22.88%, P<0.01), anxiety combined with depression (46.88% vs 15.50%, P<0.01), and hypertension history (71.8% vs 39.11%, P<0.01) were more common in patients with MACE. Uncorrected Cox proportional hazard regression found that people with anxiety had a higher risk of developing MACE than those without anxiety (HR 3.181, P<0.01). Multiple Cox proportional hazard regression analysis of anxiety showed that anxiety was an independent predictor of cumulative MACE (P<0.01). The risk of developing MACE in patients with anxiety was 3.742 times higher than that in patients without anxiety (P<0.01). Uncorrected Cox hazard regression analysis showed that people with ...
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 610
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Progress in overactive bladder

    Zhaofeng Jin / Qiumin Zhang / Yanlan Yu / Ruilin Zhang / Guoqing Ding / Tian Li / Yuping Song

    PeerJ, Vol 11, p e

    novel avenues from psychology to clinical opinions

    2023  Volume 16112

    Abstract: Rationale Overactive bladder (OAB) is a common, distressing condition that worsens with age and impacts quality of life significantly. As a results of its clinical symptoms, patients suffer from serious physical and mental health issues, have a poor ... ...

    Abstract Rationale Overactive bladder (OAB) is a common, distressing condition that worsens with age and impacts quality of life significantly. As a results of its clinical symptoms, patients suffer from serious physical and mental health issues, have a poor quality of life, and participate in a serious economic burden. The key social-psychological factors include living habits, eating habits, and personality characteristics on this disease, even though the pathogenesis of OAB is complex. However, there is few cognitions and research on OAB in the field of psychology. Methods/Search Strategy Between 2000 and 2022, two electronic databases were systematically searched in accordance with Cochrane library guidelines (PubMed/Medline, Web of Science). An analysis of the remaining articles with relevant information was conducted using a data extraction sheet. An itemized flow diagram was adopted and used to report systematic reviews and meta-analysis. A systematic review of studies published from 2000 to 2022 in English language were conducted and included in the review. The intended audience Urological surgeon and psychologists majoring in urinary diseases. Implication As a result of this information, we are able to develop a better understanding of the role of psychological factors in the development of OAB and suggest potential therapeutic directions for OAB patients. This may benefit the recovery of OAB patients.
    Keywords Overactive bladder ; Mental health ; Social-psychological factors ; Psychological intervention ; Medicine ; R ; Biology (General) ; QH301-705.5
    Subject code 150
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher PeerJ Inc.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Evaluation of anthropometric indices as a predictor of diabetes in Dong and Miao ethnicities in China

    Qianyuan Yang / Yalan Liu / Zhaofeng Jin / Leilei Liu / Zhiping Yuan / Degan Xu / Feng Hong

    PLoS ONE, Vol 17, Iss

    A cross-sectional analysis of China Multi-Ethnic Cohort Study

    2022  Volume 3

    Abstract: Background Although it is known that obesity is inseparable from diabetes, many anthropometric indices are used for determining obesity. At the same time, research on the predictive indices of diabetes in Chinese minority populations is lacking. ... ...

    Abstract Background Although it is known that obesity is inseparable from diabetes, many anthropometric indices are used for determining obesity. At the same time, research on the predictive indices of diabetes in Chinese minority populations is lacking. Therefore, this study determines the relationship between different anthropometric indices and diabetes, and identifies the best index and best cut-off values for predicting diabetes. Method In total, 11,035 Dong and Miao ethnic participants (age: 30–79 years) from the China Multi-Ethnic Cohort study were included. The logistic regression model was used to examine the relationship between the different anthropometric indices and diabetes risk. The receiver operating characteristic curve and the area under the curve (AUC) were used to identify the best predictor of diabetes. Results In multivariate adjusted logistic regression models, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and visceral adiposity index (VAI) were positively correlated with diabetes risk. Among Chinese Dong men and women and Miao men, WHR had the largest AUC (0.654/0.719/0.651). Among Miao women, VAI had the largest AUC(0.701). The best cut-off values of WHR for Dong men and women and Miao men were 0.94, 0.92, and 0.91, respectively. The best cut-off value of VAI for Miao women was 2.20. Conclusion Obesity indicators better predict diabetes in women than men. WHR may be the best predictor of diabetes risk in both sex of Dong ethnicity and Miao men, and VAI may be the best predictor of diabetes risk in Miao women.
    Keywords Medicine ; R ; Science ; Q
    Subject code 571
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Evaluation of anthropometric indices as a predictor of diabetes in Dong and Miao ethnicities in China

    Qianyuan Yang / Yalan Liu / Zhaofeng Jin / Leilei Liu / Zhiping Yuan / Degan Xu / Feng Hong

    PLoS ONE, Vol 17, Iss 3, p e

    A cross-sectional analysis of China Multi-Ethnic Cohort Study.

    2022  Volume 0265228

    Abstract: Background Although it is known that obesity is inseparable from diabetes, many anthropometric indices are used for determining obesity. At the same time, research on the predictive indices of diabetes in Chinese minority populations is lacking. ... ...

    Abstract Background Although it is known that obesity is inseparable from diabetes, many anthropometric indices are used for determining obesity. At the same time, research on the predictive indices of diabetes in Chinese minority populations is lacking. Therefore, this study determines the relationship between different anthropometric indices and diabetes, and identifies the best index and best cut-off values for predicting diabetes. Method In total, 11,035 Dong and Miao ethnic participants (age: 30-79 years) from the China Multi-Ethnic Cohort study were included. The logistic regression model was used to examine the relationship between the different anthropometric indices and diabetes risk. The receiver operating characteristic curve and the area under the curve (AUC) were used to identify the best predictor of diabetes. Results In multivariate adjusted logistic regression models, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and visceral adiposity index (VAI) were positively correlated with diabetes risk. Among Chinese Dong men and women and Miao men, WHR had the largest AUC (0.654/0.719/0.651). Among Miao women, VAI had the largest AUC(0.701). The best cut-off values of WHR for Dong men and women and Miao men were 0.94, 0.92, and 0.91, respectively. The best cut-off value of VAI for Miao women was 2.20. Conclusion Obesity indicators better predict diabetes in women than men. WHR may be the best predictor of diabetes risk in both sex of Dong ethnicity and Miao men, and VAI may be the best predictor of diabetes risk in Miao women.
    Keywords Medicine ; R ; Science ; Q
    Subject code 571
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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