longlong liu

Mr. longlong liu


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 December 2021 in Nutrients
Verified
Journal Article
Open access
PDF file
YZYuan Zhou
Yuan Zhou
JZJing Zhang
Jing Zhang
RLRong-Hua Liu
Rong-Hua Liu
QXQian Xie
Qian Xie
XLXiao-Long Li
Xiao-Long Li
XJXin-Cheng Jiang
Xin-Cheng Jiang
Background: This study aimed to assess the relationship between dyslipidemia (DL) risk and health-related physical fitness (HPF) and evaluated the prognostic value of HPF for risk of DL. Methods: A total of 776 university staff members were recruited, of which 407 were females, and 369 males. Blood samples and HPF tests were collected from all participants after 12 h fasting. Results: The prevalence of DL was 41.77% and 51.49% in female and male university staff members, respectively, and there was no significant difference between genders (χ2 = 2.687, p = 0.101). According to the logistic regression analysis, age, male sex, GLU, hypertension, BMI, BF, WHtR, and LAP were significant risk factors for DL (p < 0.05), VCI and, SAR were significant protective factors for DL (p < 0.05), and SMI, GS, and VG were not significantly associated with the risk of DL. The area under the receiver-operating characteristic (ROC) curve (AUC) analysis indicated that, LAP (AUC: 0.730, 95CI%: 0.697–0.762), WHtR (AUC: 0.626, 95CI%: 0.590–0.660), and BMI (AUC: 0.599, 95CI%: 0.563–0.634) are valid predictors of DL, and LAP and WHtR perform better than BMI (Z = 8.074, p < 0.001) in predicting DL in male and female university staff members. Conclusion: The risk of DL is significantly related to body composition, cardiorespiratory fitness, and flexibility. LAP and WHtR perform better than BMI in predicting risk of DL in male and female university staff members.

3 September 2025 in Health and Metabolism
Verified
Journal Article
Open access
PDF file
LLlonglong liu
longlong liu
JZJing Zhang
Jing Zhang
QXQian Xie
Qian Xie
YZYuan Zhou
Yuan Zhou
BYBo Ye
Bo Ye
XLXiao-Long Li
Xiao-Long Li
Objective: The aim of this study was to explore the relationship between health-related physical fitness (HPF) and arterial stiffness, which was evaluated using skin autofluorescence (AF) to measure advanced glycosylation end products (AGEs) and pulse wave velocity (PWV). Methods: The 132 young adults aged 20–30 were recruited for this study. According to the National Physical Fitness Standards Manual, HPF was measured by the indicators that reflect the body composition, cardiopulmonary fitness, muscular fitness and flexibility. AGEs were evaluated through AF, which performed using a non-invasive detection system. PWV was measured by Pulse wave velocity measurement system. Spearman correlation analysis and multiple linear regression analysis were used for data analysis. Results: AF in young adults, whether male or female, was positively correlated with BMI and body fat (BF) (male: p = 0.013, p = 0.0004, female: p = 0.049, p = 0.015 with BMI and BF, respectively). AF in male young adults was negatively correlated with the cardiorespiratory endurance index (CEI) (p = 0.046). Multiple linear regression adjusted for age showed that AF and BF were positively correlated for only male young adults (p = 0.032). There was no significant correlation between the carotid-femoral or carotid-radial pulse wave velocity (CFPWV or CRPWV) and AF or any of the HPF indicators in the undergraduate participants (p > 0.05). Conclusion: BMI and body fat are the main factors affecting the risk of arterial stiffness in young adults, whether male or female. In addition, cardiorespiratory fitness is also the main factor for the risk of chronic disease in young male adults. It is suggested that young male adults should pay more attention to the exercise of cardiorespiratory fitness.