The Association Between Healthy Lifestyle Behaviours and Coronavirus Protective Behaviours

Immune Stimulation with Imiquimod to Best Face SARS-CoV-2 Infection and Prevent Long COVID

Through widespread immunization against SARS-CoV-2 prior to or post-infection, a substantial segment of the global population has acquired both humoral and cellular immunity, and there has been a notable reduction in the incidence of severe and fatal cases linked to this virus and accelerated recovery times for those infected. Nonetheless, a significant demographic, comprising around 20% to 30% of the adult population, remains unimmunized due to diverse factors. Furthermore, alongside those recovered from the infection, there is a subset of the population experiencing persistent symptoms referred to as Long COVID. This condition is more prevalent among individuals with underlying health conditions and immune system impairments. Some Long COVID pathologies stem from direct damage inflicted by the viral infection, whereas others arise from inadequate immune system control over the infection or suboptimal immunoregulation. There are differences in the serum cytokines and miRNA profiles between infected individuals who develop severe COVID-19 or Long COVID and those who control adequately the infection. This review delves into the advantages and constraints associated with employing imiquimod in human subjects to enhance the immune response during SARS-CoV-2 immunization. Restoration of the immune system can modify it towards a profile of non-susceptibility to SARS-CoV-2. An adequate immune system has the potential to curb viral propagation, mitigate symptoms, and ameliorate the severe consequences of the infection.

Identifying factors affecting a healthy lifestyle in the post-COVID-19 era

BACKGROUND

A healthy lifestyle is one of the important global concepts in the post-COVID-19 era, which can lead to maintaining and improving the health of societies. This study aimed to identify the factors affecting a healthy lifestyle in the post-COVID-19 era.

MATERIALS AND METHODS

The current research is a qualitative study that was conducted in the field by theoretical sampling method. The qualitative method used in the current research was Strauss-Corbin's method. The data collection tool in the current research was a semi-structured interview. The researcher reached theoretical saturation by the end of the 13th interview, and for more certainty, the interviews continued until the 15th interview. The statistical population of the research was all professors and experts with specialized doctorate degrees in Mashhad University of Medical Sciences, and finally, 15 people were selected according to the entry and exit criteria for the study. Data analysis was done by summarizing and coding and analyzing the hidden content from expert interviews using MAXQDA software.

RESULTS

The factors affecting a healthy lifestyle in the post-COVID-19 era (cultural norms, social norms, biological norms, technological factors, and economic factors) emerged from the intuitive opinions of experts.

CONCLUSION

Providing and maintaining health is not a simple task, as it involves biological, individual, familial, cultural, societal, economic, political, and health factors. Promotion of healthy lifestyles is not merely the responsibility of health-related organizations and bodies; rather, they necessitate extensive coordination and empathy among educational, health, cultural, service, and even political institutions and bodies.

The clustering of lifestyle behaviors in U.S. college students: a network approach

Objective: College student mental health has been decreasing and lifestyle factors may be an important factor in improving mental health. These behaviors may cluster together in complex ways, which could impact the success of lifestyle interventions. Participants: Two samples of U.S. undergraduate college students were drawn from the American College Health Association's National College Health Assessment (NCHA). The data were collected in Fall of 2019 (N = 30,075) and Spring of 2021 (N = 70,059). Methods: Students responded to various health and well-being related questions. Network models were used to examine how lifestyle behaviors cluster together and additional models contained both lifestyle behaviors and health and well-being outcomes. Results: Lifestyle clustering was found, and some similar patterns were seen across time periods and across levels of psychological distress. Conclusions: Individual lifestyle behaviors exist within a complex lifestyle network, which may need to be accounted for in lifestyle interventions.

Perceived a community with shared future for doctor-patient and benefit finding: a moderated mediation model

BACKGROUND

Under the background that the concept of a community with shared future for mankind has been advocated, the doctor-patient relationship has rapidly sublimated into a community with shared future for doctor-patient. The purpose of this study was to analyze the changes and relationships of anxiety, perceived a community with shared future for doctor-patient (PCSF), health self-consciousness (HSC) and benefit finding (BF) in the outbreak stage of COVID-19 and in the stable stage of COVID-19.

METHODS

The questionnaire consisted of a self-designed health self-consciousness scale, perceived a community with shared future for doctor-patient scale, revised 7-item generalized anxiety disorder scale and benefit finding scale. Questionnaires were administered in the outbreak stage of COVID-19 and in the stable stage of COVID-19 to address public anxiety, BF, and trust between medical staff and patients.

RESULTS

Risk perception will increase anxiety in public, and the public who trust medical staff and the ability of the government to prevent and control the epidemic will have a higher PCSF. Compared with those in the outbreak stage of COVID-19, PCSF, HSC and BF all decreased in the stable stage of COVID-19. HSC partly plays a mediating role in the process of the influence of PCSF and BF (95% CI = [0.3785, 0.5007], [0.2357, 0.3695], P < .001). The R-value of the model in the outbreak stage of COVID-19 and in the stable stage of COVID-19 were 0.555 and 0.429, and the value of R² was 0.308 and 0.184 respectively (P < .001). In the stable stage of COVID-19, the coefficient of anxiety ✕ PCSF is negative. The B values of anxiety and PCSF are positive, and the moderating effect is negative (P = .038). Anxiety has a negative moderating effect between PCSF and HSC, indicating that anxiety will weaken the positive impact of PCSF on HSC. It means that there exists a substitution relationship between anxiety and PCSF.

CONCLUSIONS

The common goal of medical staff and patients is health, and health is the premise of the meaning of life. Vigorously advocating for PCSF can not only promote a harmonious doctor-patient relationship, but also establish a good HSC and improve the understanding of the meaning of life in the public. Furthermore, if the common concept of a community with a shared future for doctor-patient is integrated into the values of life, it may be more stable and long-term to maintain a good doctor-patient relationship. In addition, we should guard against the influence of high-level anxiety on the path of meaning perception.

Perceived barriers and facilitators for adhering to COVID-19 preventive measures in Chile: a qualitative study in three large cities

BACKGROUND

Globally, it has been reported that different social determinants of health -structural, sociodemographic, economic, living conditions and cultural factors- may affect opportunities to adhere to prevention measures against SARS-CoV-2. The objective of this study was to explore the perceptions around barriers and facilitators for adherence to COVID-19 prevention measures among the adult population residing in three large cities in Chile from a social determinants of health perspective.

METHODS

Qualitative paradigm, multiple case-study design. Online semi-structured interviews were conducted with men and women aged 18 and over from different socioeconomic groups residing in three large cities. For participant recruitment and selection, purposive contacts were made based on community and social media networks, followed by snowball sampling. Saturation was reached at 61 participants, after which a thematic analysis was carried out with the support of AtlasTi software. The Ethics Committee of the Universidad del Desarrollo in Chile approved this study.

RESULTS

The main perceived barriers to adherence to COVID-19 preventive measures are linked to structural social determinants of health such as income, occupation, gender, access to basic supplies, and housing. Perceived facilitators are the fear of contagion and the incorporation of measures into daily habits. The social communication of preventive measures by health authorities is perceived as punitive, affecting adherence once the fear of contagion decreased in the country. It is also perceived that the recommended preventive measures are disconnected from communities' cultural practices and people´s identity, as well as affected by gender inequities and socioeconomic conditions that stakeholders in the country do not sufficiently address.

CONCLUSION

Study findings suggest that adherence to preventive measures, such as social distancing, mask use, and hand washing, could be promoted through their incorporation into the daily life habits of people and communities. These measures should consider the structural social determinants that generate multiple barriers to adherence, like poverty, occupational risks, and overcrowding. Socio-cultural dimensions of health and everyday risks need further understanding among the different communities in the country, allowing for differences in viewpoints and practices based on gender, age, place, and social identity.

Engaging in physical activity instead of (over)using the smartphone: An experimental investigation of lifestyle interventions to prevent problematic smartphone use and to promote mental health

Aim

Tendencies of problematic smartphone use (PSU) have risen during the past decade. As PSU is consistently linked to mental health issues, measures to prevent its appearance and to promote mental health are urgently required.

Subject and Methods

The present study investigated the impact of three interventions on health behavior, PSU, positive mental health (PMH), and depression and anxiety symptoms. Overall, 503 persons from Germany (M age = 29.19, SD age = 10.51, range: 18-79) participated in the study. Over 14 days, the three experimental groups (a) reduced their daily smartphone use time by 60 minutes, (b) increased their daily level of physical activity by 30 minutes, and (c) combined both measures. The control group continued its behavior as usual. Outcomes were assessed via online surveys at five measurement time points (baseline, intermediate, post-intervention, and 1 and 3 months after the intervention).

Results

All interventions resulted in a significant increase in weekly physical activity and in reduced symptoms of PSU, depression, and anxiety. Furthermore, the smartphone reduction and the combination of both measures contributed to a significant reduction of participants' daily smartphone use and higher levels of PMH. The effects of the reduction of smartphone use time and its combination with increased physical activity were more stable in the longer term than the increase in physical activity only.

Conclusion

Combined with an increase in physical activity, the reduction of smartphone use time could serve as an efficient and cost-effective measure for the prevention of PSU and the promotion of mental health.

Health-Risk Behaviors, COVID-19 Preventive Behaviors, and the Impact of the COVID-19 Pandemic on the Working-Age Population of Bangkok, Thailand

Although studies have extensively discussed the effects of COVID-19 on global health behaviors, little is known about the extent of COVID-19 preventive behaviors and their negative effects on the working-age population of Bangkok, Thailand. Therefore, this study aimed to examine health-risk behaviors, COVID-19 preventive behaviors, and the impact of the COVID-19 pandemic among the Thai working-age population. An online cross-sectional survey was conducted among working-age adults through a self-administered questionnaire. Data were analyzed with descriptive statistics and stepwise multiple regression. Of the 313 Thai participants (227 females, 72.5%), 84.0% had high levels of health-risk behaviors for preventing COVID-19 infection, most respondents (89.1%) had high levels of knowledge about COVID-19, and most respondents (61.7%) had high levels of overall COVID-19 preventive behaviors. Stepwise multiple regression revealed that health-risk behaviors (β = 0.445), knowledge of COVID-19 (β = 0.148), gender (β = 0.145), and age (β = 0.133) were predictive of COVID-19 preventive behaviors. Additionally, most respondents (48.9%) had moderate overall effects from COVID-19. Based on our findings, these factors must be considered when implementing public policies to improve COVID-19 preventive behaviors among the currently employed working-age population. In addition, appropriate interventions must be established and evaluated for the pandemic's long-term effects.

Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand

The coronavirus disease 2019 (COVID-19) pandemic has affected the health behaviors of older adults. Thus, the factors predicting the COVID-19 preventive behaviors of older adults during the COVID-19 outbreak should be examined. Therefore, this study aimed to assess the COVID-19 preventive behaviors of older adults and explore the factors predicting these. A cross-sectional study was performed with 400 older adults who were selected using the cluster sampling technique. The associations of all variables in preventing COVID-19 infection with COVID-19 preventive behaviors were examined using stepwise multiple regression. The study results revealed that 70.8% of the study participants had high levels of COVID-19 preventive behaviors. Among these, self-efficacy in preventing COVID-19 infection (β = 0.224) showed the highest ability to predict COVID-19 preventive behaviors, followed by COVID-19 response efficacy (β = 0.171), knowledge about COVID-19 (β = 0.110), and gender (β = -0.102). Older adults adopted protective behaviors at the beginning of the COVID-19 pandemic. The predictors of these behaviors should be considered while designing and developing appropriate COVID-19 preventive behavior interventions, aimed at inducing behavioral modifications to reduce further infection with and spread of COVID-19.

Madness of the crowd: Understanding mass behaviors through a multidisciplinary lens

Mass or crowd behaviors refer to those that occur at a group level and suggest that crowds behave differently to individuals. Mass behaviors are typically triggered by a significant societal event. The ongoing COVID-19 pandemic has provided many tangible examples of crowd behaviors that have been observed globally, suggesting possible common underlying drivers. It is important to provide a deeper understanding of such behaviors to develop mitigation strategies for future population-level challenges. To gain deeper insight into a variety of crowd behaviors, we perform a conceptual analysis of crowd behaviors using three detailed case studies covering observable behavior (panic buying and health protective actions) and mass beliefs (conspiracy theories) that have resulted or shifted throughout the pandemic. The aim of this review was to explored key triggers, psychological drivers, and possible mitigation strategies through a mixture of theory and published literature. Finally, we create experimental mathematical models to support each case study and to illustrate the effects of manipulating key behavioral factors. Overall, our analyses identified several commonalties across the case studies and revealed the importance of Social Identity Theory and concepts of trust, social connection, and stress.

Adhering to COVID-19 health guidelines: A behavioral-failure perspective

The mitigation of pandemics like that caused by the current COVID-19 virus is largely dependent on voluntary public adherence to government rules and regulations. Recent research has identified various individual covariates that account for some of the variance in compliance with COVID-19 behavioral guidelines. However, despite considerable research, our understanding of how and why these factors are related to adherence behavior is limited. Additionally, it is less clear whether disease-transmitting behaviors during a pandemic can be understood in terms of more general behavioral tendencies. The current research has examined the utility of a behavioral-failure lens in predicting adherence to COVID-19 guidelines and in illuminating mechanisms underlying the previously established relationship between Conscientiousness and adherence. In the two studies reported here, individual variations in the predisposition to behavioral failures predicted adherence to COVID-19 measures, and mediated the relationships between Conscientiousness and adherence. The Failure Proneness (FP) questionnaire predicted compliance with COVID-19 guidelines, while the Cognitive Failure Questionnaire (CFQ) did not. The results of hierarchical regressions showed that COVID-19 behavior was predicted only through the intentional factors (and mainly by Noncompliance-Violations). Hence, our data lend support to the notion that noncompliance with official COVID-19 prevention guidelines is driven mainly by intentional factors related to violation of norms and rules. The theoretical and practical implications of this finding are discussed.

Contexts, beliefs and health behaviour: Are individuals who engage in risky sexual behaviour likely to wear facemasks against COVID-19?

Beside age, underlying comorbidities and availability of sanitation facilities, individual health beliefs and behaviour are critical in combating the sustained prevalence of Covid-19. Behaviour has, however, been shown to be consistent but could be context- dependent based on the individual’s beliefs. To investigate whether or not individuals’ protective behaviour against coronavirus is associated with their behaviour in a previous health context. Facemask usage and engagement in risky sexual behaviour (RSB) were employed as corollaries of Covid-19 protective behaviour and a previous health context respectively. Data on them and other sociodemographic correlates of health behaviour were collected on 522 Nigerians via a web-based survey. The data were analyzed using frequency, Chi Square and Binary Logistics Regression. About 31% of the population wore facemasks in public, 48.1% believed Covid existed and was severe, and 31.6% had engaged in RSB. Individuals who engaged in RSB had lower odds of wearing facemasks in public in both the general population and across the rural-urban divide. The relationship was, however, only statistically significant (OR:0.642, p<0.05) in the adjusted regression model. Other significant determinants of facemask use were gender, place of residence, employment status and beliefs about Covid. The similarity of individual beliefs and behaviours in different health contexts provides an opportunity to model behaviour change communication policies for preventing and combating the spread of coronavirus and other infectious diseases.

Associations between Lifestyle Changes and Adherence to COVID-19 Restrictions in Older Adults with Hypertension

COVID-19 has changed people’s routines and imposed new ways of living. This study investigated variations in lifestyles (namely, physical activity, diet, alcohol consumption, and cigarette smoking) between the prepandemic and the pandemic period in a sample of older adults with hypertension. Moreover, it investigated predictors of adherence to government restrictions during the first lockdown period, evidencing the role of relevant sociodemographic indicators and lifestyle changes. A sample of 105 older Italian adults (M_age = 70 years; SD = 5.83) with hypertension was enrolled from a previous longitudinal study and interviewed on the phone between May and August 2020. Updated information about sociodemographic indicators and lifestyle changes was collected. Adherence to restrictions was explored through several questions regarding compliance with home confinement, facemask use, and the observance of social distancing. Results evidenced that only 33% of the respondents abided by all the national restrictions. During the first pandemic peak, considerable changes in lifestyles occurred, particularly regarding physical activity, which diminished in 70% of the sample. Women, unemployed/retired people, and individuals who decreased their amount of physical activity reported higher adherence to rules. Maintaining a healthy lifestyle over time is essential for disease prevention. Therefore, it is essential to continue to inform the population about the importance of a healthy lifestyle, and it is necessary to provide guidelines to maintain and promote it even during housebound periods.