The COVID-19 Lockdown and Mental Wellbeing of Females in China

Post-COVID social engagement and depression among Chinese older adults: exploring rural/urban and gender differences

PURPOSE

This study investigates the impact of post-COVID social engagement on depression levels among Chinese older adults, with a focus on rural/urban and gender differences.

METHODS

Using the year 2018 and year 2020 data from the China Health and Retirement Longitudinal Study (CHARLS), this study analyzed pre- and post-COVID depression levels and social engagement indicators, including going-out, activities and networking among Chinese older adults (N = 8,793).

RESULTS

Results showed a significant increase in depression levels across all demographic groups post-COVID, with rural females exhibiting the highest levels of depression. Reduced social engagement was associated with increased depression, particularly among rural males and females. Subgroup analyses highlighted nuanced patterns: rural males suffered from decreased intense activities and online contacts, while urban males experienced heightened depression with reduced visiting and light activities. Rural females reported increased depression with decreased moderate activities and dancing outdoors but decreased levels with reduced online contacts. Conversely, urban females experience decreased depression with reduced social engagements, suggesting areevaluation of priorities amidst pandemic challenges.

CONCLUSION

This study has underscored the importance of considering individual, cultural, and contextual factors in understanding mental health outcomes among Chinese older adults. Findings inform targeted interventions aimed at promoting psychological well-being and resilience among Chinese older adults in the post-COVID era, including community-based programs and mental health screenings, to foster social connection and emotional support.

The relationship between mental fatigue and social responsibility among nurses who provided care to patients with coronavirus disease 2019: a cross-sectional study

BACKGROUND AND AIM

Mental fatigue (MF) was a major challenge for nurses during the coronavirus disease 2019 (COVID-19) pandemic. Nurses' sense of responsibility towards their patients and societies may influence their MF. This study aimed to assess the relationship between MF and social responsibility (SR) among nurses who provided care to patients with COVID-19.

METHODS

This cross-sectional descriptive-analytical study was conducted in 2021. Participants were 258 nurses randomly selected from eleven COVID-19 care hospitals in Tehran, Iran. Data were collected using three self-report instruments, namely a demographic questionnaire, the Mental Fatigue Scale, and the Social Responsibility Questionnaire. The SPSS software (v. 16.0) was used to analyze the data at a significance level of less than 0.05.

RESULTS

The mean scores of MF and SR were 31.73 ± 7.35 and 3.45 ± 0.35, respectively. The highest and the lowest scored SR subscales were ethical responsibilities with a mean of 3.67 ± 0.42 and economic responsibilities with a mean of 2.93 ± 0.62. MF had a significant negative correlation with legal responsibilities and a significant positive correlation with economic responsibilities (P < 0.05). The only significant predictor of SR was financial status which significantly predicted 4.3% of the variance of SR (P < 0.05).

CONCLUSION

More than half of the nurses who provided care to patients with COVID-19 suffered from MF and their mental fatigue had a significant correlation with their legal and economic responsibilities. Healthcare authorities and policymakers need to develop programs to reduce nurses' MF and improve their satisfaction.

A study on differences about the influencing factors of depressive symptoms between medical staff and residents during 2022 city-wide temporary static management period to fighting against COVID-19 pandemic in Shanghai

Objectives

Our study aimed to identify the latent class of depressive symptoms in the Shanghai population during the city-wide temporary static management period and compare differences in the factors influencing depressive symptoms between medical staff and residents.

Methods

An online cross-sectional survey was conducted with 840 participants using questionnaires, including Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Pittsburgh Sleep Quality Index (PSQI), and self-compiled questionnaire (demographic characteristics and internet usage time). Latent class analysis (LCA) was performed based on participants' depressive symptoms. The latent class subgroups were compared using the chi-square test and t-test. Logistic regression was used in our study to analyze the factors influencing depressive symptoms within the medical staff group and residents group and then compare their differences.

Results

Two distinct subgroups were identified based on the LCA: the group with low-depressive symptoms and the group with high-depressive symptoms. There were significant differences between the two groups (P < 0.05) on age, education level, marital status, internet usage time, identity characteristics (medical staff or residents), family income level, living style, overall quality of sleep, and anxiety levels. Furthermore, logistic regression analysis results showed that compared with the residents group, the participants in the group of medical staff with "increasing internet usage time" and the "daytime dysfunction" would have nearly two times the possibility of getting serious depressive symptoms.

Conclusions

There are differences in the factors influencing depression symptoms between medical staff and residents during the 2022 city-wide temporary static management period to fighting against the COVID-19 pandemic in Shanghai. We should pay special attention to those with increasing internet usage time and daytime dysfunction in medical staff working in a special environment such as the COVID-19 pandemic.

COVID and Gender: A Narrative Review of the Asia-Pacific Region

The COVID-19 pandemic has been the largest infectious disease epidemic to affect the human race since the great influenza pandemic of 1918-19 and is close to approaching the number of deaths from the earlier epidemic. A review of available data and the numerous currently available studies on COVID-19 shows that the rate of clinical cases is about 10% greater in females than males in Asia. However, the number of deaths is greater in males than in females. Women are more likely to experience the psychological effects of COVID-19 during and after acute infections. A significant proportion of acute COVID-19 infections continue and their prolonged symptoms have been reported. Further studies are needed, including detailed serology, to measure and monitor the incidence of COVID-19. The pandemic has had a widespread impact on broader societies including shortages of food, lockdowns and isolation. The number of orphans in developing countries has increased. Women have had to bear the major impacts of these community effects. More research is required to develop better vaccines acting against new strains of the virus and to develop systems to distribute vaccines to all people.

Nutrition as Personalized Medicine against SARS-CoV-2 Infections: Clinical and Oncological Options with a Specific Female Groups Overview

Coronavirus disease 2019 (COVID-19) is a respiratory disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). It is acknowledged that vulnerable people can suffer from mortal complications of COVID-19. Therefore, strengthening the immune system particularly in the most fragile people could help to protect them from infection. First, general nutritional status and food consumption patterns of everyone affect the effectiveness of each immune system. The effects of nutrition could impact the level of intestinal and genital microbiota, the adaptive immune system, and the innate immune system. Indeed, immune system cells and mediators, which are crucial to inflammatory reaction, are in the structures of fats, carbohydrates, and proteins and are activated through vitamins (vit) and minerals. Therefore, the association of malnutrition and infection could damage the immune response, reducing the immune cells and amplifying inflammatory mediators. Both amount and type of dietary fat impact on cytokine biology, that consequently assumes a crucial role in inflammatory disease. This review explores the power of nutrition in the immune response against COVID-19 infection, since a specific diet could modify the cytokine storm during the infection phase. This can be of vital importance in the most vulnerable subjects such as pregnant women or cancer patients to whom we have deemed it necessary to dedicate personalized indications.