Objective To investigate the status quo of drug resistance and influencing factors of tuberculosis in In-ner Mongolia,and to provide reference for accurate prevention and control of drug-resistant tuberculosis.Methods Random sampling was used in this study.TB patients from Tuberculosis designated hospital in Inner Mongolia were included,according to the rules and drug-resistant strains were identified and tested according to relevant norms.Composition ratio or rate was calculated for statistical description,and Logistic regression model was used to analyze the influencing factors of drug resistance in TB patients.Results Among 1 321 patients,there were 936 males and 385 females,with an average age of(52.65±18.09)years.The rates of mono-resistant,multidrug-resistant(MDR),extensively drug-resistant(XDR)and total drug resistance were 19.00%,11.58%,11.66%and 42.24%,respectively.The highest resistance rates were observed for streptomycin(7.27%),isoniazid(4.69%),and isoniazid+streptomycin(4.47%).The drug resistance spectrum presented diversity and com-plexity.Compared to females,males had a higher proportion of drug resistance,and the difference was statistically significant(P<0.001).The proportion of patients who were sensitive to anti-tuberculosis drugs increased with age(P<0.05).Among different age groups,the proportion of drug-resistant patients was higher in the 20-40 age group,40-60 age group,and 60 and above age group compared to the 0-20 age group(P<0.05).Addi-tionally,the proportion of drug-resistant patients was higher in the 20-40 age group and 40-60 age group com-pared to the 60 and above age group(P<0.05).Moreover,the proportion of drug-resistant and multi-drug re-sistant patients was higher among patients undergoing retreatment compared to those undergoing initial treatment(P<0.001).Multivariate Logistic regression analysis showed that male gender(OR=1.48,95%CI:1.02-2.14),age 20-40 years(OR=2.64,95%CI:1.05-6.60),retreatment(OR=2.34,95%CI:1.70-3.22),and outpatient follow-up(OR=1.56,95%CI:1.05-2.33)were independent risk factors for drug-resistant tuber-culosis.Conclusion Inner Mongolia has a high prevalence of MDR and overall drug-resistant tuberculosis among patients.The drug resistance profile exhibits diversity and complexity.Risk factors that contribute to drug resist-ance include being male,aged between 20 and 40,undergoing retreatment,and receiving outpatient follow-up.Therefore,it is necessary to further improve clinical diagnosis and treatment,promote rational use of first-line anti-tuberculosis drugs,prioritize individualized treatment,enhance health education,improve the medical insurance system,and optimize patient management approaches in order to enhance patient compliance.

Objective To investigate the nutritional status and dietary structure of tuberculosis patients among dif-ferent populations, analyze the factors influencing the nutritional status of tuberculosis patients, and provide theo-retical basis for improving clinical nutrition and related issues in tuberculosis patients.Methods Tuberculosis pa-tients, non-tuberculosis patients, and healthy individuals were randomly selected for a questionnaire survey.De-scriptive analysis was conducted using SPSS 20.0 software.Statistical description was performed using rates and composition ratios, and qualitative data were described using relative numbers.Chi-square test was used to compare overall rates and composition ratios among different health conditions groups, with a significance level of α=0.05.Independent factors analysis of nutritional status body mass index (BMI) was conducted using multiple Logistic re-gression analysis for variables with statistically significant differences in the univariate analysis.Results There were differences in the nutritional status (x2 =62.184, P<0.05) and dietary diversity score (x2 =64.049, P<0.05) among tuberculosis patients, non-tuberculosis patients, and healthy individuals.Univariate analysis of nutri-tional status BMI showed statistically significant differences in gender, smoking, meat-based diet, vegetable-based diet, moderate diet diversity score, and 6 other variables for tuberculosis patients (P <0.05) , and in gender, age, ethnicity, marital status, occupation, education level, smoking, drinking white wine, drinking beer, meat-based diet, moderate diet, and 11 other variables for healthy individuals (P<0.05) .The variables with statisti-cally significant differences in the univariate analysis were included in the multiple ordinal logistic regression analy-sis model for both tuberculosis patients and healthy individuals.The results showed that the level of education, veg-etable intake, moderate food diversity score (DDS) of 4-6 were independent influencing factors of nutritional sta-tus BMI among tuberculosis patients (P<0.05);marital status was an independent influencing factor of nutritional status BMI among non-tuberculosis patients (P<0.05);while gender and occupation were independent influencing factors of nutritional status BMI among healthy individuals (P<0.05).Conclusion The dietary nutritional status of the three population groups varied.Targeted health education should be conducted, especially for tuberculosis patients, to address the issue of uneven dietary intake and promote good dietary habits among local tuberculosis pa-tients.

Objective:To assess the risk factors affecting development of non-tumor- related anastomotic stenosis after rectal cancer and to construct a nomogram prediction model.Methods:This was a retrospective study of data of patients who had undergone excision with one-stage intestinal anastomosis for rectal cancer between January 2003 and September 2018 in Nanfang Hospital of Southern Medical University. The exclusion criteria were as follows: (1) pathological examination of the operative specimen revealed residual tumor on the incision margin of the anastomosis; (2) pathological examination of postoperative colonoscopy specimens revealed tumor recurrence at the anastomotic stenosis, or postoperative imaging evaluation and tumor marker monitoring indicated tumor recurrence; (3) follow-up time <3 months; and (4) simultaneous multiple primary cancers. Univariate analysis using the χ 2 or Fisher's exact test was performed to assess the study patients' baseline characteristics and variables such as tumor-related factors and surgical approach ( P<0.05). Multivariate analysis using binary logistic regression was then performed to identify independent risk factors for development of non-tumor-related anastomotic stenosis after rectal cancer. Finally, a nomogram model for predicting non-tumor-related anastomotic stenosis after rectal cancer surgery was constructed using R software. The reliability and accuracy of this prediction model was evaluated using internal validation and calculation of the area under the curve of the model's receiver characteristic curve (ROC). Results:The study cohort comprised 1,610 patients, including 1,008 men and 602 women of median age 59 (50, 67) years and median body mass index 22.4 (20.2, 24.5) kg/m2. Non-tumor-related anastomotic stenosis developed in 121 (7.5%) of these patients. The incidence of non-tumor-related anastomotic stenosis in patients who had undergone neoadjuvant chemotherapy, neoadjuvant radiotherapy, and surgery alone was 11.2% (10/89), 26.4% (47/178), and 4.8% (64/1,343), respectively. Neoadjuvant treatment (neoadjuvant chemotherapy: OR=2.455, 95%CI: 1.148–5.253, P=0.021; neoadjuvant chemoradiotherapy, OR=3.882, 95%CI: 2.425–6.216, P<0.001), anastomotic leakage (OR=7.960, 95%CI: 4.550–13.926, P<0.001), open laparotomy (OR=3.412, 95%CI: 1.772–6.571, P<0.001), and tumor location (distance of tumor from the anal verge 5–10 cm: OR=2.381, 95%CI:1.227–4.691, P<0.001; distance of tumor from the anal verge <5 cm: OR=5.985,95% CI: 3.039–11.787, P<0.001) were identified as independent risk factors for non-tumor-related anastomotic stenosis. Thereafter, a nomogram prediction model incorporating the four identified risk factors for development of anastomotic stenosis after rectal cancer was developed. The area under the curve of the model ROC was 0.815 (0.773–0.857, P<0.001), and the C-index of the predictive model was 0.815, indicating that the model's calibration curve fitted well with the ideal curve. Conclusion:Non-tumor-related anastomotic stenosis after rectal cancer surgery is significantly associated with neoadjuvant treatment, anastomotic leakage, surgical procedure, and tumor location. A nomogram based on these four factors demonstrated good discrimination and calibration, and would therefore be useful for screening individuals at risk of anastomotic stenosis after rectal cancer surgery.

Objective:To assess the risk factors affecting development of non-tumor- related anastomotic stenosis after rectal cancer and to construct a nomogram prediction model.Methods:This was a retrospective study of data of patients who had undergone excision with one-stage intestinal anastomosis for rectal cancer between January 2003 and September 2018 in Nanfang Hospital of Southern Medical University. The exclusion criteria were as follows: (1) pathological examination of the operative specimen revealed residual tumor on the incision margin of the anastomosis; (2) pathological examination of postoperative colonoscopy specimens revealed tumor recurrence at the anastomotic stenosis, or postoperative imaging evaluation and tumor marker monitoring indicated tumor recurrence; (3) follow-up time <3 months; and (4) simultaneous multiple primary cancers. Univariate analysis using the χ 2 or Fisher's exact test was performed to assess the study patients' baseline characteristics and variables such as tumor-related factors and surgical approach ( P<0.05). Multivariate analysis using binary logistic regression was then performed to identify independent risk factors for development of non-tumor-related anastomotic stenosis after rectal cancer. Finally, a nomogram model for predicting non-tumor-related anastomotic stenosis after rectal cancer surgery was constructed using R software. The reliability and accuracy of this prediction model was evaluated using internal validation and calculation of the area under the curve of the model's receiver characteristic curve (ROC). Results:The study cohort comprised 1,610 patients, including 1,008 men and 602 women of median age 59 (50, 67) years and median body mass index 22.4 (20.2, 24.5) kg/m2. Non-tumor-related anastomotic stenosis developed in 121 (7.5%) of these patients. The incidence of non-tumor-related anastomotic stenosis in patients who had undergone neoadjuvant chemotherapy, neoadjuvant radiotherapy, and surgery alone was 11.2% (10/89), 26.4% (47/178), and 4.8% (64/1,343), respectively. Neoadjuvant treatment (neoadjuvant chemotherapy: OR=2.455, 95%CI: 1.148–5.253, P=0.021; neoadjuvant chemoradiotherapy, OR=3.882, 95%CI: 2.425–6.216, P<0.001), anastomotic leakage (OR=7.960, 95%CI: 4.550–13.926, P<0.001), open laparotomy (OR=3.412, 95%CI: 1.772–6.571, P<0.001), and tumor location (distance of tumor from the anal verge 5–10 cm: OR=2.381, 95%CI:1.227–4.691, P<0.001; distance of tumor from the anal verge <5 cm: OR=5.985,95% CI: 3.039–11.787, P<0.001) were identified as independent risk factors for non-tumor-related anastomotic stenosis. Thereafter, a nomogram prediction model incorporating the four identified risk factors for development of anastomotic stenosis after rectal cancer was developed. The area under the curve of the model ROC was 0.815 (0.773–0.857, P<0.001), and the C-index of the predictive model was 0.815, indicating that the model's calibration curve fitted well with the ideal curve. Conclusion:Non-tumor-related anastomotic stenosis after rectal cancer surgery is significantly associated with neoadjuvant treatment, anastomotic leakage, surgical procedure, and tumor location. A nomogram based on these four factors demonstrated good discrimination and calibration, and would therefore be useful for screening individuals at risk of anastomotic stenosis after rectal cancer surgery.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Humans ; COVID-19/genetics* ; SARS-CoV-2/genetics* ; Clustered Regularly Interspaced Short Palindromic Repeats/genetics* ; CRISPR-Cas Systems/genetics* ; RNA, Viral/genetics*