Duration of SARS-CoV-2 Serum-Neutralizing Antibodies Against SARS-CoV-2 Dependent on the Individual.

We investigated the persistence of SARS-CoV-2-specific neutralizing antibodies in serum (CoV-2-SNAb) against the "WH-Human 1" coronavirus in 57 convalescent persons from January 2020 to January 2021. The CoV-2-SNAb response against authentic "WH-Human 1" showed a significant (p < 0.01) neutralizing high effect (≥95%) in the following manner: by 94.7% neutralization for up to 6 months, by 73.1% for up to 8 months, and by 31.7% for up to 10 months in correlation with a significant decrease in the concentration of the virus determined by SARS-CoV-2 spike protein extracellular domain and spike-receptor-binding domain (S-RBD). There was neutralizing effect (<95%) when the S-RBD optical density (OD) value was more than 1.0, showing a suitable threshold of S-RBD = 1.0 (antibody-tittering, OD). However, in some convalescent persons, no neutralizing effect (<95%) was observed although the SARS-CoV-2-specific neutralizing antibodies were bound to the S-RBD (OD >1.0). The neutralization of the virus in these cases may not involve S-RBD, but rather B- and T cell memory responses in overall immunity, using the threshold value (OD = 1.0) of S-RBD as a simple and effective method to determine the neutralization effect of the antibody efficacy and use of vaccination in combination with a standard pseudovirus neutralizing assay. We suggest that convalescent persons should contact their physicians 6-month postinfection to test the function of their serum neutralizing antibodies and determine whether administering a SARS-CoV-2 vaccine is necessary to prevent the development of severe illness in the future.

The Longitudinal Relationship Between eHealth Literacy, Health-Promoting Lifestyles, and Health-Related Quality of Life Among College Students: A Cross-Lagged Analysis.

Objectives: This study aimed to explore the longitudinal associations between eHealth literacy, health-promoting lifestyles, and health-related quality of life (HRQoL) among college students. Methods: From December 2019 (T1) to December 2020 (T2), we administered the eHealth literacy scale, Short-Form Health Survey (SF-12), and Short-Form Health-Promoting Lifestyle Profile Scale to 1,181 college students in Jinan, China. Participants were recruited for 12 months for the two-stage survey. Results: Stable positive correlations were shown between eHealth literacy, health-promoting lifestyles, and HRQoL across time. The cross-lagged analysis showed that eHealth literacy at T1 predicted health-promoting lifestyles at T2 (ß = 0.080, P = 0.006); however, health-promoting lifestyles at T1 did not predict eHealth literacy at T2 (ß = -0.026, P = 0.499). HRQoL at T1 predicted health-promoting lifestyles at T2 (ß = 0.147, P < 0.001); however, similar to the eHealth literacy finding, health-promoting lifestyles at T1 did not predict HRQoL at T2 (ß = 0.045, P = 0.142). eHealth literacy was also bi-directionally associated with HRQoL, and the prediction effect of eHealth literacy at T1 to HRQoL at T2 (ß = 0.078, P = 0.008) was slightly higher than the prediction effect of HRQoL at T1 to eHealth literacy at T2 (ß = 0.074, P = 0.023). Conclusion: eHealth literacy and HRQoL may be antecedents for college students' health-promoting lifestyles. There may be significant bi-directional relationships between eHealth literacy and HRQoL.

Ocular manifestations and SARS-CoV-2 detection in tears and conjunctival scrape from non-severe COVID-19 patients.

AIM: To explore the ocular features of corona virus disease (COVID)-19 and severe acute respiratory syndrome coronavirus (SARS-CoV)-2 detection in tears and conjunctival scrapes in non-severe COVID-19 patients. METHODS: This is a multicenter observational clinical study with no intervention conducted from Jan 25th to March 1st, 2020. Clinical data and samples of tears and conjunctival scraping were collected in consecutive laboratory-confirmed, non-severe COVID-19 patients from three hospitals. COVID-19 virus was analyzed by real-time reverse transcriptase polymerase chain reaction (RT-PCR) kits. RESULTS: Totally 255 laboratory-confirmed, non-severe COVID-19 patients were recruited for ocular manifestation investigation. Of them, 54.9% were females, with a mean age of 49.4y. None of the patients has evidence of uveitis; 11 patients (4.3%) complained of mild asthenopia; 2 (0.8%) had mild conjunctival congestion and serous secretion. Twenty-five of them had performed tears and conjunctival scrape for COVID-19 virus detection, with 4 yield possible positive results in the nucleoprotein gene. One of them were asymptomatic with normal chest CT and positive pharyngeal swab result. CONCLUSION: Ocular manifestations are neither common nor specific in non-severe COVID-19 patients. Meanwhile, COVID-19 virus nucleotides can be detected in the tears and conjunctival scrape samples, warranting further research on the transmissibility by the ocular route.

Associations Between Health Literacy, eHealth Literacy, and COVID-19-Related Health Behaviors Among Chinese College Students: Cross-sectional Online Study.

BACKGROUND: During the COVID-19 pandemic, the internet has significantly spread information, providing people with knowledge and advice about health protection regarding COVID-19. While a previous study demonstrated that health and eHealth literacy are related to COVID-19 prevention behaviors, few studies have focused on the relationship between health literacy, eHealth literacy, and COVID-19-related health behaviors. The latter includes not only preventative behaviors but also conventional health behaviors. OBJECTIVE: The objective of this study was to develop and verify a COVID-19-related health behavior questionnaire, explore its status and structure, and examine the associations between these behaviors and participants' health literacy and eHealth literacy. METHODS: A snowball sampling method was adopted to recruit participants to complete anonymous cross-sectional questionnaire surveys online that assessed sociodemographic information, self-reported coronavirus knowledge, health literacy, eHealth literacy, and COVID-19-related health behaviors. RESULTS: Of 1873 college students who were recruited, 781 (41.7%) had adequate health literacy; the mean eHealth literacy score was 30.16 (SD 6.31). The COVID-19-related health behavior questionnaire presented a two-factor structure-COVID-19-specific precautionary behaviors and conventional health behaviors-with satisfactory fit indices and internal consistency (Cronbach α=.79). The mean score of COVID-19-related health behaviors was 53.77 (SD 8.03), and scores differed significantly (P<.05) with respect to residence, college year, academic major, family economic level, self-reported health status, having a family member or friend infected with coronavirus, and health literacy level. Linear regression analysis showed that health literacy and eHealth literacy were positively associated with COVID-19-specific precautionary behaviors (ßhealth literacy=.149, ßeHealth literacy=.368; P<.001) and conventional health behaviors (ßhealth literacy=.219, ßeHealth literacy=.277; P<.001). CONCLUSIONS: The COVID-19-related health behavior questionnaire was a valid and reliable measure for assessing health behaviors during the pandemic. College students with higher health literacy and eHealth literacy can more actively adopt COVID-19-related health behaviors. Additionally, compared to health literacy, eHealth literacy is more closely related to COVID-19-related health behaviors. Public intervention measures based on health and eHealth literacy are required to promote COVID-19-related health behaviors during the pandemic, which may be helpful to reduce the risk of COVID-19 infection among college students.