Direct Multi-Material Reconstruction via Iterative Proximal Adaptive Descent for Spectral CT Imaging.

Spectral computed tomography (spectral CT) is a promising medical imaging technology because of its ability to provide information on material characterization and quantification. However, with an increasing number of basis materials, the nonlinearity of measurements causes difficulty in decomposition. In addition, noise amplification and beam hardening further reduce image quality. Thus, improving the accuracy of material decomposition while suppressing noise is pivotal for spectral CT imaging. This paper proposes a one-step multi-material reconstruction model as well as an iterative proximal adaptive decent method. In this approach, a proximal step and a descent step with adaptive step size are designed under the forward-backward splitting framework. The convergence analysis of the algorithm is further discussed according to the convexity of the optimization objective function. For simulation experiments with different noise levels, the peak signal-to-noise ratio (PSNR) obtained by the proposed method increases approximately 23 dB, 14 dB, and 4 dB compared to those of other algorithms. Magnified areas of thorax data further demonstrated that the proposed method has a better ability to preserve details in tissues, bones, and lungs. Numerical experiments verify that the proposed method efficiently reconstructed the material maps, and reduced noise and beam hardening artifacts compared with the state-of-the-art methods.

The improvement of levofloxacin and tetracycline removal from simulated water by thermosensitive flocculant: Mechanisms and simulation

[Display omitted] • P(DAC-NIPAM) significantly improved the removal of levofloxacin and tetracycline. • P(DAC-NIPAM) had strong interaction with antibiotics for its multiple functional groups. • The hydrophobic groups on P(DAC-NIPAM) tightly bridged micelles of antibiotics and SDS. • Compact flocs were formed for shrinkage of P(DAC-NIPAM) molecule at the LCST. • Flocculation simulation further confirmed application feasibility of thermosensitive flocculants. Antibiotics were detected in worldwide natural water especially in COVID-19 period. The common flocculants rarely removed the dissolved antibiotics from natural water and wastewater. The flocculation improvement of organic polymer flocculants might solve the issue of antibiotic pollution or promote the removal efficiencies of antibiotics in water/wastewater treatment plants. Herein, a thermosensitive flocculant, P(DAC-NIPAM), was prepared via one-step method. It was investigated that the relationship between the various functional groups of P(DAC-NIPAM) and its flocculation performances in the treatment of simulated water containing levofloxacin, tetracycline, colloidal particles and natural organic matters. The removal mechanisms were discussed. The results indicated that the rich cationic, hydrophilic and hydrophobic groups of P(DAC-NIPAM) enhanced the interaction between flocculants and pollutants. The bridging of P(DAC-NIPAM) among micelles, charge neutralization, hydrogen bond between P(DAC-NIPAM) and two antibiotics, the shrinkage of P(DAC-NIPAM) molecule and enhancement of hydrophobicity when water temperature was above low critical solution temperature (LCST), co-flocculation and co-settlement of multiple pollutants all contributed to the efficient removal of levofloxacin and tetracycline from water. Flocculation simulation further confirmed that thermosensitive flocculant combined with heating plates was a potential candidate for antibiotic treatment in actual water treatment plants. [ FROM AUTHOR]

Clinical efficacy and long-term immunogenicity of an early triple dose regimen of SARS-CoV-2 mRNA vaccination in cancer patients.

INTRODUCTION: Three doses of SARS-CoV-2 mRNA vaccines have been recommended for cancer patients to reduce the risk of severe disease. Anti-neoplastic treatment, such as chemotherapy, may affect long-term vaccine immunogenicity. METHOD: Patients with solid or haematological cancer were recruited from 2 hospitals between July 2021 and March 2022. Humoral response was evaluated using GenScript cPASS surrogate virus neutralisation assays. Clinical outcomes were obtained from medical records and national mandatory-reporting databases. RESULTS: A total of 273 patients were recruited, with 40 having haematological malignancies and the rest solid tumours. Among the participants, 204 (74.7%) were receiving active cancer therapy, including 98 (35.9%) undergoing systemic chemotherapy and the rest targeted therapy or immunotherapy. All patients were seronegative at baseline. Seroconversion rates after receiving 1, 2 and 3 doses of SARS-CoV-2 mRNA vaccination were 35.2%, 79.4% and 92.4%, respectively. After 3 doses, patients on active treatment for haematological malignancies had lower antibodies (57.3%±46.2) when compared to patients on immunotherapy (94.1%±9.56, P<0.05) and chemotherapy (92.8%±18.1, P<0.05). SARS-CoV-2 infection was reported in 77 (28.2%) patients, of which 18 were severe. No patient receiving a third dose within 90 days of the second dose experienced severe infection. CONCLUSION: This study demonstrates the benefit of early administration of the third dose among cancer patients.

The improvement of levofloxacin and tetracycline removal from simulated water by thermosensitive flocculant: Mechanisms and simulation

Antibiotics were detected in worldwide natural water especially in COVID-19 period. The common flocculants rarely removed the dissolved antibiotics from natural water and wastewater. The flocculation improvement of organic polymer flocculants might solve the issue of antibiotic pollution or promote the removal efficiencies of antibiotics in water/wastewater treatment plants. Herein, a thermosensitive flocculant, P(DAC-NIPAM), was prepared via one-step method. It was investigated that the relationship between the various functional groups of P(DAC-NIPAM) and its flocculation performances in the treatment of simulated water containing levofloxacin, tetracycline, colloidal particles and natural organic matters. The removal mechanisms were discussed. The results indicated that the rich cationic, hydrophilic and hydrophobic groups of P(DAC-NIPAM) enhanced the interaction between flocculants and pollutants. The bridging of P(DAC-NIPAM) among micelles, charge neutralization, hydrogen bond between P(DAC-NIPAM) and two antibiotics, the shrinkage of P(DAC-NIPAM) molecule and enhancement of hydrophobicity when water temperature was above low critical solution temperature (LCST), co-flocculation and co-settlement of multiple pollutants all contributed to the efficient removal of levofloxacin and tetracycline from water. Flocculation simulation further confirmed that thermosensitive flocculant combined with heating plates was a potential candidate for antibiotic treatment in actual water treatment plants.

Changes and application value of clinical laboratory routine testing indicators in patients with diabetes mellitus complicated with corona virus disease 2019

The study's objective was to examine the clinically significant changes in regular laboratory testing in individuals with diabetes mellitus complicated by corona virus illness in 2019. (COVID-19). Methods From January 21 to March 2, 2020, the Department of Infectious Diseases at Nanyang Central Hospital in the Henan Province received test results from COVID-19 patients. The patients were split into two groups: those with diabetes mellitus (DM) and those without diabetes mellitus (NDM). The Mann-Whitney U test and the Kruskal-Wallis H test were used to assess the differences between the two groups, and the risk variables for patients with severe conditions were examined using logistic regression analysis. In the non-DM group, there were 36 instances, while in the DM group, there were 17 cases. The age difference between the DM group and the non-DM group was statistically significant (t=3.31, P=0.001), with the DM group's age being 59.12 10.92 years as opposed to the non-DM group's age being 45.03 16.73 years. The neutrophil count, FIB, D-dimer, C-reactive protein, and interleukin-4 levels of the DM group were significantly higher than those of the non-DM group, while the lymphocyte count was significantly lower. The differences were statistically significant (t=2.45 3.40, all P 0.05), and the lymphocyte count was lower than the neutrophil count in both groups. The percentage of severe COVID-19 (58.80% vs. 16.67%) and hospital stay (15.18 vs. 10.39 vs. 5.82 days) were both statistically significantly greater in the DM group than in the non-DM group. After correcting for gender and age, it was shown that lymphocyte count and diabetes were separate risk factors for patients with severe COVID-19. COVID-19 patients with diabetes had a more prominent inflammatory response and were in a hypercoagulable condition. For them, individualized hypoglycemic treatment should be used.

Efficacy of covid-19 vaccines in immunocompromised patients: systematic review and meta-analysis.

OBJECTIVE: To compare the efficacy of covid-19 vaccines between immunocompromised and immunocompetent people. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, Embase, Central Register of Controlled Trials, COVID-19 Open Research Dataset Challenge (CORD-19), and WHO covid-19 databases for studies published between 1 December 2020 and 5 November 2021. ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform were searched in November 2021 to identify registered but as yet unpublished or ongoing studies. STUDY SELECTION: Prospective observational studies comparing the efficacy of covid-19 vaccination in immunocompromised and immunocompetent participants. METHODS: A frequentist random effects meta-analysis was used to separately pool relative and absolute risks of seroconversion after the first and second doses of a covid-19 vaccine. Systematic review without meta-analysis of SARS-CoV-2 antibody titre levels was performed after first, second, and third vaccine doses and the seroconversion rate after a third dose. Risk of bias and certainty of evidence were assessed. RESULTS: 82 studies were included in the meta-analysis. Of these studies, 77 (94%) used mRNA vaccines, 16 (20%) viral vector vaccines, and 4 (5%) inactivated whole virus vaccines. 63 studies were assessed to be at low risk of bias and 19 at moderate risk of bias. After one vaccine dose, seroconversion was about half as likely in patients with haematological cancers (risk ratio 0.40, 95% confidence interval 0.32 to 0.50, I2=80%; absolute risk 0.29, 95% confidence interval 0.20 to 0.40, I2=89%), immune mediated inflammatory disorders (0.53, 0.39 to 0.71, I2=89%; 0.29, 0.11 to 0.58, I2=97%), and solid cancers (0.55, 0.46 to 0.65, I2=78%; 0.44, 0.36 to 0.53, I2=84%) compared with immunocompetent controls, whereas organ transplant recipients were 16 times less likely to seroconvert (0.06, 0.04 to 0.09, I2=0%; 0.06, 0.04 to 0.08, I2=0%). After a second dose, seroconversion remained least likely in transplant recipients (0.39, 0.32 to 0.46, I2=92%; 0.35, 0.26 to 0.46), with only a third achieving seroconversion. Seroconversion was increasingly likely in patients with haematological cancers (0.63, 0.57 to 0.69, I2=88%; 0.62, 0.54 to 0.70, I2=90%), immune mediated inflammatory disorders (0.75, 0.69 to 0.82, I2=92%; 0.77, 0.66 to 0.85, I2=93%), and solid cancers (0.90, 0.88 to 0.93, I2=51%; 0.89, 0.86 to 0.91, I2=49%). Seroconversion was similar between people with HIV and immunocompetent controls (1.00, 0.98 to 1.01, I2=0%; 0.97, 0.83 to 1.00, I2=89%). Systematic review of 11 studies showed that a third dose of a covid-19 mRNA vaccine was associated with seroconversion among vaccine non-responders with solid cancers, haematological cancers, and immune mediated inflammatory disorders, although response was variable in transplant recipients and inadequately studied in people with HIV and those receiving non-mRNA vaccines. CONCLUSION: Seroconversion rates after covid-19 vaccination were significantly lower in immunocompromised patients, especially organ transplant recipients. A second dose was associated with consistently improved seroconversion across all patient groups, albeit at a lower magnitude for organ transplant recipients. Targeted interventions for immunocompromised patients, including a third (booster) dose, should be performed. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021272088.

Booster doses of COVID-19 vaccines for patients with haematological and solid cancer: a systematic review and individual patient data meta-analysis.

IMPORTANCE: Patients with cancer have an increased risk of severe disease and mortality from COVID-19, as the disease and antineoplastic therapy cause reduced vaccine immunogenicity. Booster doses have been proposed to enhance protection, and efficacy data are emerging from several studies. OBJECTIVE: To evaluate the proportion of COVID-19 primary vaccination non-responders with cancer who seroconvert after a booster dose. METHODS: PubMed, EMBASE, CENTRAL and medRxiv were searched from 1st January 2021 to 10th March 2022. Quality was assessed using the Joanna Briggs Institute Critical Appraisal checklist. RESULTS: After the eligibility assessment, 22 studies were included in this systematic review and 17 for meta-analysis of seroconversion in non-responders, pooling a total of 849 patients with haematological cancer and 82 patients with solid cancer. Haematological cancer non-responders exhibited lower seroconversion at 44% (95% CI 36-53%) than solid cancer at 80% (95% CI 69-87%). Individual patient data meta-analysis found the odds of having a meaningful rise in antibody titres to be significantly associated with increased duration between the second and third dose (OR 1.02, 95% CI 1.00-1.03, P ≤ 0.05), age of patient (OR 0.960, 95% CI 0.934-0.987, P ≤ 0.05) and cancer type. With patients with haematological cancer as a reference, patients with lung cancer had 16.8 times the odds of achieving a meaningful increase in antibody titres (OR 16.8, 95% CI 2.95-318, P ≤ 0.05) and gastrointestinal cancer patients had 25.4 times the odds of achieving a meaningful increase in antibody titres (OR 25.4, 95% CI 5.26-492.21, P ≤ 0.05). CONCLUSIONS: administration of a COVID-19 vaccine booster dose is effective in improving seroconversion and antibody levels. Patients with haematological cancer consistently demonstrate poorer response to booster vaccines than patients with solid cancer.

M-commerce adoption among youths in Malaysia: Dataset article.

The covid-19 pandemic which took the world by storm changed our behaviour towards m-commerce with enforced movement restrictions across the world. This dataset documents the factors of consideration among Malaysian youths (age 15 to 24 years old) in their intention to adopt m-commerce. Collected from October to November 2020, a total of 396 useable responses were finalized. The questionnaire consists of individual demographic variables and factors which influence the intention of youths to adopt m-commerce in Malaysia. The dataset of demographics and m-commerce related variables can be used to further explore the correlations and description of variables. The dataset is valuable for m-commerce service providers and future works of literature in understanding the behaviour of youths and hence increase the adoption rate of m-commerce among youths.

Booster COVID-19 Vaccines for Immune-Mediated Inflammatory Disease Patients: A Systematic Review and Meta-Analysis of Efficacy and Safety.

BACKGROUND: Seroconversion and longevity of vaccine-induced immune response is blunted in immune-mediated inflammatory disease (IMID) patients owing to immunosuppressive regimens. COVID-19 booster vaccines after a primary series have been proposed with inconclusive evidence on efficacy to date. METHODS: This PROSPERO-registered systematic review (CRD42022302534) was conducted according to PRISMA guidelines. PubMed, EMBASE, CENTRAL, Web of Science, CORD-19, WHO ICTRP, and medRxiv were searched up to 28 February 2022 for eligible studies. Risk of bias was assessed using the Joanna Briggs Institute critical appraisal tools. RESULTS: From 6647 records, 17 prospective studies were included for systematic review and 12 in meta-analysis of primary series non-responders. The risk of bias was low. Pooling 340 non-responders, a booster dose proved effective with 0.47 seroconverting (95% CI: 0.32-0.63, I2 = 82%). Rituximab therapy was associated with significant impairment, with risks of 0.25 (95% CI: 0.17-0.36, I2 = 50.7%) versus 0.81 (95% CI: 0.72-0.87, I2 = 0.0%) for those without rituximab therapy. A systematic review of antibody levels against COVID-19 showed several-fold increases across studies. Incidence of local and systemic adverse events, including disease flares, were either comparable or slightly increased after the booster dose compared to primary series. No major events such as myocarditis or death were reported. CONCLUSION: Our results show that booster doses are effective in eliciting seroconversion in non-responders, bolstering immunity to COVID-19. It has also not been associated with major adverse events.

The Challenges of Online Learning for Teachers during Pandemic

Until now, we are still haunted by what is called the Corona Virus or COVID-19. Due to the pandemic, the way of education has changed to online education since 2020. Education is an important component of the quality of a nations improvement;however, recent research has shown that education system has to face challenges in online learning which is still inefficient. But, there are problems in teaching and students learning habits through online learning. This study is aimed to investigate the online learning challenges experienced by teachers during this pandemic. Teachers feedback and statements were collected using semistructured interviews. Overall, teachers concurred that the online learning is not as effective as conventional learning activities (face to face), because the unexpected educational transformation still cannot adapt to the teaching and learning habit. Moreover, some courses must be explained directly and more fully, so that all students can understand and recall the lesson later.

Identification of a recombinant equine coronavirus in donkey, China.

Equine coronavirus (ECoV) was first identified in the USA and has been previously described in several countries. In order to test the presence of ECoV in China, we collected 51 small intestinal samples from donkey foals with diarrhoea from a donkey farm in Shandong Province, China between August 2020 and April 2021. Two samples tested positive for ECoV and full-length genome sequences were successfully obtained using next-generation sequencing, one of which was further confirmed by Sanger sequencing. The two strains shared 100% sequence identity at the scale of whole genome. Bioinformatics analyses further showed that the two Chinese strains represent a novel genetic variant of ECoV and shared the highest sequence identity of 97.05% with the first identified ECoV strain - NC99. In addition, it may be a recombinant, with the recombination region around the NS2 gene. To our knowledge, this is the first documented report of ECoV in China, highlighting its risk to horse/donkey breeding. In addition, its potential risk to public health also warrants further investigation.

Alpha-Lipoic Acid Prevents Side Effects of Therapeutic Nanosilver without Compromising Cytotoxicity in Experimental Pancreatic Cancer.

Silver nanoparticles (AgNPs) have attracted attention in cancer therapy and might support the treatment of pancreatic ductal adenocarcinoma (PDAC). Silver is in clinical use in wound dressings, catheters, stents and implants. However, the side effects of systemic AgNP treatment due to silver accumulation limit its therapeutic application. We evaluated whether the antioxidant and natural agent α-lipoic acid might prevent these side effects. We synthesized AgNPs using an Ionic-Pulser® Pro silver generator and determined the concentration by inductively coupled plasma-optical emission spectrometry. The effect of α-lipoic acid was examined in four PDAC and two nonmalignant cell lines by MTT, FACS analysis, TEM, xenotransplantation and immunohistochemistry. The viability of PDAC cells was nearly totally abolished by AgNP treatment, whereas nonmalignant cells largely resisted. α-Lipoic acid prevented AgNP-induced cytotoxicity in nonmalignant cells but not in PDAC cells, which might be due to the higher sensitivity of malignant cells to silver-induced cytotoxicity. α-Lipoic acid protected mitochondria from AgNP-induced damage and led to precipitation of AgNPs. AgNPs reduced the growth of tumor xenografts, and cotreatment with α-lipoic acid protected chick embryos from AgNP-induced liver damage. Together, α-lipoic acid strongly reduced AgNP-induced side effects without weakening the therapeutic efficacy.

Efficacy of COVID-19 vaccines in immunocompromised patients: A systematic review and meta-analysis (preprint)

ObjectiveTo compare the efficacy of COVID 19 vaccines between those with immunocompromised medical conditions and those who are immunocompetent DesignSystematic review and meta-analysis Data sourcesPubMed, EMBASE, CENTRAL, CORD-19 and WHO COVID-19 research databases were searched for eligible comparative studies published between 1 December 2020 and 3 September 2021. ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform were searched in September 2021 to identify registered yet unpublished or ongoing studies. Study selectionProspective observational studies which compared the efficacy of COVID-19 vaccination between those with immunocompromising medical conditions and those who were immunocompetent were included. Two reviewers independently screened for potentially eligible studies. Data extractionThe primary outcomes of interest were cumulative incidence of seroconversion after first and second doses of COVID vaccination. Secondary outcomes included SARS-CoV-2 antibody titre level after first and second doses of COVID-19 vaccination. After duplicate data abstraction, a frequentist random effects meta-analysis was conducted. Risk of bias was assessed using the ROBINS-I tool. Certainty of evidence was assessed using the GRADE approach. ResultsAfter screening 3283 studies, 42 studies that met our inclusion criteria were identified. 18 immunocompromised cohorts from 17 studies reported seroconversion in immunocompromised patients compared to healthy controls after the first dose and 30 immunocompromised cohorts in 28 studies reporting data after the second dose. Among immunocompromised groups, in incremental order, transplant recipients had the lowest pooled risk ratio of 0.06 (95%CI: 0.04 to 0.09, I^2=0%, p=0.81) (GRADE=Moderate) followed by haematological cancer patients at 0.36 (95%CI: 0.21 to 0.62, I^2 = 89%, p<0.01) (GRADE=Moderate), solid cancer patients at 0.40 (95%CI: 0.31 to 0.52, I^2 = 63%, p=0.03) (GRADE=Moderate) and IMID patients at 0.66 (95%CI: 0.48 to 0.91, I^2=81%, p<0.01) (GRADE=Moderate). After the second dose, the lowest pooled risk ratio was again seen in transplant recipients at 0.29 (95%CI: 0.21 to 0.40, I^2=91%, p<0.01) (GRADE=Moderate), haematological cancer patients at 0.68 (95%CI: 0.57 to 0.80, I^2=68%, p=0.02) (GRADE=Low), IMID patients at 0.79 (95%CI: 0.72 to 0.86, I^2=87%, p<0.01) (GRADE=Low) and solid cancer at 0.92 (95%CI: 0.89 to 0.95, I^2=26%, p=0.25) (GRADE=Low). ConclusionSeroconversion rates and serological titres are significantly lower in immunocompromised patients with transplant recipients having the poorest outcomes. Additional strategies on top of the conventional 2-dose regimen will likely be warranted, such as a booster dose of the vaccine. Systematic review registrationPROSPERO CRD42021272088

Racial Disparities in COVID-19 Mortality Among Essential Workers in the United States.

Racial disparities are apparent in the impact of coronavirus disease 2019 (COVID-19) in the United States, yet the factors contributing to racial inequities in COVID-19 mortality remain controversial. To better understand these factors, we investigated racial disparities in COVID-19 mortality among America's essential workers. Data from the American Community Survey and Current Population Survey was used to examine the correlation between the prevalence of COVID-19 deaths and occupational differences across racial/ethnic groups and states. COVID-19 mortality was higher among non-Hispanic (NH) Blacks compared with NH Whites, due to more NH Blacks holding essential-worker positions. Vulnerability to coronavirus exposure was increased among NH Blacks, who disproportionately occupied the top nine essential occupations. As COVID-19 death rates continue to rise, existing structural inequalities continue to shape racial disparities in this pandemic. Policies mandating the disaggregation of state-level data by race/ethnicity are vital to ensure equitable and evidence-based response and recovery efforts.

Prevalence of Sub-health Status among College Students in Guangzhou Baiyun Technician College Business during the Coronavirus Pandemic (preprint)

Background: Sub-health status (SHS) is an intermediate status between health and disease. We aimed to investigate the prevalence of sub-health status among college students during the coronavirus disease (COVID-19) pandemic and analyze its influencing factors in order to provide basic information to increase the health level of college students. Methods: College students were selected as subjects from Guangzhou Baiyun Technician College Business using convenience sampling. The inclusion criteria was informed consent, current college students who voluntarily participated in this survey. Exclusion criteria were students with chronic diseases or mental disorders. General data questionnaire, daily lifestyle questionnaire, and SHS measurement scale were used to survey college students. The SHS measurement scale consists of three subscales covering the physiological (1-14 items), psychological (16-27 items), and social (29-37 items) dimensions, with 39 items in total. The items 15, 28, 38 and 39 were used for the overall evaluation of the health status within each dimension and would not be taken into account for the score rating. A commonly used 5-point Likert scale was developed to incorporate the positive items, including questions 1-3, 13-19, and 26-39 with a scaled score equal to the raw score at 1-5; while negative items including questions 4-12 and 20-25 with a scaled score equal to 6 minus the raw score. For each subscale, the sum of all item scores was the raw score. The total raw score was calculated as the sum of raw scores derived from all 3 sub-scales. For any individual dimension, a lower score indicated higher severity of SHS. For sub-scales and the whole scale, raw scores were converted into percentile scores for statistical analysis. Converted score = (raw score - minimum theoretical score) / (maximum theoretical score – minimum theoretical score) × 100. The highest and lowest converted scores of the three subscales were 0 and 100 respectively. In this study, analysis of sub-health was performed using converted scores for all subscales and the whole scale. Based on the sub-health measurement scale, the health condition of subjects would be assessed as disease status (scored < 54), SHS (scored 54 to 79) and health status. From March 6 to 16, 2020, an online survey was conducted via wjx.cn (an online platform available for questionnaire sources). A total of 16,163 students filled out the questionnaire. Results: During the COVID-19 pandemic, the detected prevalence of sub-health among college students was 64.4%.the total SHS score was 73.356 ± 11.115 points, the physiological SHS score was 81.284 ± 11.034 points, the psychological SHS score was 68.691 ± 12.559 points, and the social SHS score was 67.242 ± 17.112 points. Multiple linear regression analysis showed that eating irregular meals, exercising fewer times per week, sleeping fewer hours per night, sleeping after 11 PM more often, spending more time on electronic devices, exercising for fewer minutes each time, and skipping breakfast had the significant negative impact on the SHS scores of college students during the COVID-19 pandemic (P<0.05), while being the only child had a significant positive impact on the SHS scores of college students during the COVID-19 pandemic (P<0.05). Conclusions: During the COVID-19 pandemic, the detected prevalence of sub-health was high among college students. Society and schools should pay more attention to the health of college students during the COVID-19 pandemic and take pertinence action to solve the problem base on influencing factors.