Total body water percentage and 3rd space water are novel risk factors for training-related lower extremity muscle injuries in young males.

PURPOSE: To identify the risk factors for training-related lower extremity muscle injuries in young males by a non-invasive method of body composition analysis. METHODS: A total of 282 healthy young male volunteers aged 18 - 20 years participated in this cohort study. Injury location, degree, and injury rate were adjusted by a questionnaire based on the overuse injury assessment methods used in epidemiological studies of sports injuries. The occurrence of training injuries is monitored and diagnosed by physicians and treated accordingly. The body composition was measured using the BodyStat QuadScan 4000 multifrequency Bio-impedance system at 5, 50, 100 and 200 kHz to obtain 4 impedance values. The Shapiro-Wilk test was used to check whether the data conformed to a normal distribution. Data of normal distribution were shown as mean ± SD and analyzed by t-test, while those of non-normal distribution were shown as median (Q1, Q3) and analyzed by Wilcoxon rank sum test. The receiver operator characteristic curve and logistic regression analysis were performed to investigate risk factors for developing training-related lower extremity injuries and accuracy. RESULTS: Among the 282 subjects, 78 (27.7%) developed training injuries. Lower extremity training injuries revealed the highest incidence, accounting for 23.4% (66 cases). These patients showed higher percentages of lean body mass (p = 0.001), total body water (TBW, p = 0.006), extracellular water (p = 0.020) and intracellular water (p = 0.010) as well as a larger ratio of basal metabolic rate/total weight (p = 0.006), compared with those without lower extremity muscle injuries. On the contrary, the percentage of body fat (p = 0.001) and body fat mass index (p = 0.002) were lower. Logistic regression analysis showed that TBW percentage > 65.35% (p = 0.050, odds ratio = 3.114) and 3rd space water > 0.95% (p = 0.045, odds ratio = 2.342) were independent risk factors for lower extremity muscle injuries. CONCLUSION: TBW percentage and 3rd space water measured with bio-impedance method are potential risk factors for predicting the incidence of lower extremity muscle injuries in young males following training.

A Novel Cargo Delivery System-AnCar-ExoLaIMTS Ameliorates Arthritis via Specifically Targeting Pro-Inflammatory Macrophages.

Macrophages are heterogenic phagocytic cells that play distinct roles in physiological and pathological processes. Targeting different types of macrophages has shown potent therapeutic effects in many diseases. Although many approaches are developed to target anti-inflammatory macrophages, there are few researches on targeting pro-inflammatory macrophages, which is partially attributed to their non-s pecificity phagocytosis of extracellular substances. In this study, a novel recombinant protein is constructed that can be anchored on an exosome membrane with the purpose of targeting pro-inflammatory macrophages via antigen recognition, which is named AnCar-ExoLaIMTS . The data indicate that the phagocytosis efficiencies of pro-inflammatory macrophages for different AnCar-ExoLaIMTS show obvious differences. The AnCar-ExoLaIMTS3 has the best targeting ability for pro-inflammatory macrophages in vitro and in vivo. Mechanically, AnCar-ExoLaIMTS3 can specifically recognize the leucine-rich repeat domain of the TLR4 receptor, and then enter into pro-inflammatory macrophages via the TLR4-mediated receptor endocytosis pathway. Moreover, AnCar-ExoLaIMTS3 can efficiently deliver therapeutic cargo to pro-inflammatory macrophages and inhibit the synovial inflammatory response via downregulation of HIF-1α level, thus ameliorating the severity of arthritis in vivo. Collectively, the work established a novel gene/drug delivery system that can specifically target pro-inflammatory macrophages, which may be beneficial for the treatments of arthritis and other inflammatory diseases.

Association of different sleep characteristics and cardiometabolic risk in college students / 中国学校卫生

Objective@#To describe the association of different sleep characteristics and cardiometabolic risk among college students, so as to provide reference for health promotion of college students.@*Methods@#By random cluster sampling method, a questionnaire survey and physical examination including blood pressure, waist circumference and blood lipid indicators, which were conducted in April and May of 2019 among a total of 1 179 college students from the first grade in two universities in Hefei City of Anhui Province and Shangrao City of Jiangxi Province. A total of 729 college students with valid questionnaires were included into analysis. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to investigate sleep behavior, and the Morning And Evening Questionnaire-5 (MEQ-5) was used to investigate sleep characteristics. The cardiometabolic risk score was derived using the sum of the standardized sex specific Z scores of waist circumference, mean arterial pressure, HDL cholesterol (multiplied by -1), triglycerides, and insulin resistance index. The rank sum tests were used to compare differences in cardiometabolic risk scores across demographic characteristics. Generalized linear models were used to compare the association of different sleep characteristics with cardiometabolic risk scores among college students.@*Results@#The average cardiovascular metabolic risk score of college students was -0.32(-2.03, 1.58). There were statistically significant differences in cardiovascular metabolic risk scores among college students in variables such as smoking, health status, and physical activity levels ( t/F=-3.41, 12.88, 51.07, P <0.01). The results of the generalized linear model showed that nighttime preference ( B=1.89, 95%CI =1.02-3.49), insomnia symptoms ( B=3.25, 95%CI =1.79-5.90), and short or long sleep duration ( B=1.92, 95%CI =1.21-3.05) were positively correlated with the cardiovascular metabolic risk score of college students ( P <0.05).@*Conclusions@#Poor sleep patterns among college students are positively correlated with the risk of cardiovascular metabolism. The sleep behavior of college students should be actively changed to reduce the risk of cardiovascular disease.

Bidirectional associations between cellular phone use behaviors and depressive symptoms in college students: a follow up study / 中国学校卫生

Objective@#The study aimed to describe the prevalence of mobile phone use and depressive symptoms and to examine the bidirectional associations between the two among college students, providinb evidence for mental health promotion among college students.@*Methods@#A longitudinal study with follow up at 6 month intervals was conducted in 1 135 students from 2 universities in Hefei, Anhui Province and Shangrao, Jiangxi Province who were selected between April and May 2019. The last follow up was conducted between April and May 2021 based on questionnaire survey, and 999 valid participants were obtained after matching. The self designed questionnaire was used to investigate the duration of cellular phone use and use of cellular phone functions among college students. The Self rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and the Patient Health Questionnaire-9 (PHQ-9) were used to assess cellular phone dependence and depressive symptoms among college students. Pearson correlation analysis was used to examine the correlation between cellular phone use behavior and depressive symptoms at baseline and 2 years later; linear regression model was used to analyze the linear association between cellular phone use behavior and depressive symptoms scores; autoregressive cross lagged model was used to analyze the bidirectional associations between cellular phone use behaviors and depressive symptoms among college students over time.@*Results@#The prevalence of mobile phone dependence and depressive symptoms among college students at baseline were 24.3% and 42.4%, respectively. The mean duration of mobile phone use among college students at baseline and the 2 year follow up were (2.84±0.90)h/d and (2.02±1.05)h/d, respectively; the mean scores of mobile phone dependence were (23.30±9.00) and (23.29±10.45), respectively; the mean scores of mobile phone function use were (30.12±6.66) and (29.12±7.27), respectively; and the mean scores of depressive symptoms were (4.51±4.76) and (2.61±4.40), respectively. Pearson correlation analysis showed there were significant positive correlations between duration of cellular phone use, cellular phone dependence, use of cellular phone functions at baseline or 2 years later and depressive symptoms 2 years later( r =0.08-0.50, P <0.05). Linear regression models showed a significant positive association between cellular phone dependence at baseline and depressive symptoms ( β=0.26, 95%CI =0.23-0.29) at baseline and 2 years later ( β=0.12, 95%CI =0.09-0.15). Autoregressive cross lagged models showed that cellular phone dependence at baseline positively predicted depressive symptoms 2 years later ( β =0.04) and depressive symptoms at baseline positively predicted cellular phone dependence 2 years later( β =0.23)( P <0.05).@*Conclusion@#There was a bidirectional association between cellular phone dependence and depressive symptoms among college students. Reducing cellular phone dependence is of positive significance for improving college students mental health.

Association between cell phone dependence and anxiety-depression co morbid symptoms among college students / 中国学校卫生

Objective@#To describe the prevalence of cell phone dependence and anxiety-depression co morbidity among college students, and to explore the association between cell phone dependence and anxiety-depression co morbidity among college students, in order to provide a reference basis for promoting the development of college students mental health.@*Methods@#Using a prospective study design, baseline survey was conducted in April-May 2019 among a random whole group sample of 1 135 individuals in two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province, and a follow up survey was conducted in November 2019 among the sampled population, with a valid number of 1 110 individuals after matching with the baseline survey. The Self rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess college students cell phone dependence, and the Depression Anxiety Stress Self Rating Scale (DASS-21) to assess depression, anxiety, and anxiety depression co morbidity symptoms, and the self administered Health Related Behavior and Mental Health Questionnaire for College Students to report sleep duration.@*Results@#The detection rates of cell phone dependence among college students at baseline and follow up surveys were 24.5% and 27.7%, respectively, and the detection rates of anxiety symptoms, depressive symptoms, and anxiety depression co morbidities were 28.7%, 21.3%, and 18.4%, respectively. The results of the binary Logistic regression model showed that cell phone dependence was positively associated with the risk of anxiety depression co morbid symptoms among college students at baseline ( OR =5.79, 95% CI =4.06-8.24) and after six months of follow up ( OR =2.62, 95% CI =1.86-3.69) ( P <0.01). The results of the moderating effect analysis showed that sleep duration moderated the association between cell phone dependence and anxiety depression co morbidities, and the interaction term was statistically significant ( β =0.08, 0.04, P <0.01).@*Conclusion@#Cell phone dependence in college students increases the risk of depressive and anxiety co morbid symptoms, and sleep mitigates effect of cell phone dependence on depressive and anxiety co morbid symptoms in college students.

Mobile phone dependence and gray matter volume in college freshmen / 中国学校卫生

Objective@#This study aimed to investigate the correlation between brain gray matter volume(GMV) and MPD based on voxel-based morphometry(VBM) method.@*Methods@#By using principle of random sampling method, 566 students were recruited from 5 different majors in a certain university. An electronic questionnaire was used to collect the general situation and MPD. Moreover, 266 students were obtained high-resolution 3-dimensional T1 structure images by 3.0 T MRI based on voluntary principle. A multiple regression model with VBM8 was performed to detect GMV associated with MPD scores.@*Results@#Among the 266 participants, 81 students(30.5%) reported MPD. There were no statistical differences of MPD scores between different characteristics, such as gender, residential area, sibling and perceived family income, as well as academic performance(t/F=-1.04,0.40,-1.30,0.23,1.48,P>0.05). An inverse correlation was found between GMV of the anterior cingulate gyrus(ACC) and right fusiform gyrus(FFG) with MPD scores(FDR corrected, P<0.05), and no positive associations were found.@*Conclusion@#College students with higher severity of MPD have lower GMV of ACC and right FFG, and these results suggested that MPD was correlated with brain reward, executive control and emotional related GMV.

[The change in Toll-like receptor 4 gene expression in skeleton of endotoxemia mice].

OBJECTIVE: To explore the changes in gene expression of bone in endotoxemia in mice. METHODS: Lipopolysaccharide (LPS) was injected intraperitoneally to reproduce an endotoxemia model in mice. Forty-eight mice were randomly divided into eight groups: normal group, 4, 6, 8, 12, 24, 48 and 72 hours after LPS injection groups, with 6 mice in each group. To evaluate endotoxemia whole blood was collected for leukocytic count, eye sockets blood was obtained for liver and renal functions tests. mRNA expression level of Toll-like receptor 4 (TLR4) in bone was determined by reverse transcription-polymerase chain reaction (RT-PCR) assay. The pathological changes of bone and tissue slides were prepared with hematoxylin and eosin (HE) staining for observing under microscope. RESULTS: Compared with normal group, leukocyte count of 4-hour LPS-treated group was significantly decreased (P<0.01). However, after 4 hours, leukocyte count became higher gradually and remained at high level at 72 hours compared with that of normal group (P<0.05). Compared with normal group, alanine aminotransferase (ALT) level reached to a high level in LPS-treated groups at 4 hours and 6 hours (both P<0.05), and then decreased gradually showing a tendency to return to normal level after 8 hours (P>0.05). Blood urea nitrogen (BUN) was increased at 6 hours (P<0.05), reaching to the highest level at 8 hours (P<0.05) and tended to become normal level after 12 hours (P>0.05). Six hours after LPS treatment, the expression of TLR4 mRNA was enhanced (P<0.01) and reached the peak at 24 hours (P<0.01), and it remained at a high level at 72 hours (P<0.05). However, there were no significant pathological changes in bone structure after LPS treatment. CONCLUSION: Expression level of TLR4 mRNA in bone is significantly increased in endotoxemia mice.