The importance for wellbeing of having views of nature from and in the home during the COVID-19 pandemic. Results from the GreenCOVID study

The influence of alcohol consumption on Self-Rated Health and Mood during the COVID-19 pandemic in Spain

Introduction

There is evidence of a significant upturn of certain unhealthy lifestyle choices such as Alcohol Consumption during the COVID-19 pandemic.

Objective

To analyze whether Alcohol Consumption has increased since the onset of pandemic and whether it affects the relationship between Mood and Self-Rated Health among adult Spanish population.

Methodology

Study of two cross-sectional cohorts (1-initial period of confinement COVID-19 pandemic, 2-between fifth and sixth waves of pandemic) to examine Alcohol Consumption in the relationship between Mood and Self-Rated Health using a moderation analysis with PROCESS macro for SPSS.

Results

5,949 people (62.1% women) participated in the study. Alcohol Consumption showed a significant increase, with men consuming more Alcohol than women in both periods (58.6% vs. 44.7% and 72.1% vs. 56.7%, respectively, p < 0.001). The moderation analysis revealed that sex and Alcohol Consumption conditioned the relationship between Mood and Self-Rated Health in the first survey, with a greater effect on women, who stated that not consuming Alcohol had a positive effect on the relationship between Mood and Self-Rated Health (B: -0.530; p < 0.001).

Discussion

Currently it is about of implementing strategies to manage the pandemic-some of them aimed at promoting healthy living and stress management as assets that favor healthy lifestyles with fewer risk factors. New studies are needed to address the social thresholds of alcohol consumption, considering different perspectives for understanding variations in the intrapersonal and social perception of drunkenness, as this has been shown to be inconsistent across cultures and time periods.

Do Attachment Orientations Relate to Coping with Crises? Lessons from a Cross-Sectional Study during the COVID-19 Pandemic

This study was designed to explore whether attachment orientations were related to distress and resilience during the COVID-19 pandemic. The sample included 2000 Israeli Jewish adults who answered an online survey during the first phase of the pandemic. The questions referred to background variables, attachment orientations, distress, and resilience. Responses were analyzed using correlation and regression analyses. A significant positive relationship was found between distress and attachment anxiety, and a significant negative relationship was found between resilience and attachment insecurities (avoidance and anxiety). Women suffered higher distress, as did people with lower income, poor health, secular religious affiliation, a lack of a sense of spacious accommodation, and a dependent family member. The findings indicate that attachment insecurities are associated with the severity of mental health symptoms during the peak period of the COVID-19 pandemic. We recommend strengthening attachment security as a protective factor for psychological distress in therapeutic and educational settings.

The Impact of the Coronavirus Pandemic on the Contribution of Local Green Space and Nature Connection to Mental Health

BACKGROUND

Exposure to green space and feeling connected to the natural environment have independently been associated with improved mental health outcomes. During the coronavirus pandemic, people experienced restrictions on access to the outdoors, and health data indicated a decline in mental health in the UK general population.

METHODS

Data available from two independent surveys conducted prior to and during the pandemic enabled a naturally occurring comparison of mental health and its correlates prior to and during the pandemic.

RESULTS

Survey responses from 877 UK residents were included in the analyses. Independent t-tests revealed significant declines in mental health scores during the pandemic. After controlling for age and gender, greater nature connection significantly predicted lower depression and stress and improved well-being. Percentage of green space did not significantly predict any mental health outcomes. Further, time point (pre- or during COVID) and the interaction of time point with green space and nature connection did not significantly predict any of the outcome measures. The findings indicate that nature connection may play an important role in promoting mental health. Strategies to improve mental health and reduce mental illness should consider the role of nature connection and the use of interventions that involve direct interaction with natural environments.

Exploring Key Factors Driving Urban Foraging Behavior in Garden and Non-Garden Locations

Since the occurrence of COVID-19 and food price inflation, alternative forms of food procurement increased in popularity. The present study is dedicated to urban foraging and aims to explore key factors driving food foraging behavior in the U.S. Two specific foraging behaviors, namely "leaving food behind" or "taking it all", have been investigated in a gardening and non-gardening location. Leaving food behind is crucial to sustainable foraging practices, as it allows plants and ecosystems to recover and promotes fairness in foraging communities. Data was procured from an online consumer survey and analyzed using SmartPLS 4, which allowed the use of partial least square structural equation modeling (PLS-SEM). PLS-SEM is particularly suitable for complex exploratory studies as it does not require distributional assumptions. Results indicate that nature and food attitudes predict attitudes toward urban foraging. Foraging attitudes, such as food foraging is challenging and food foraging benefits people and the planet, which are the most important drivers for taking or leaving behaviors in both types of locations. These findings are of relevance to managers in municipalities, landscape designers, horticultural businesses, and other stakeholders who create, shape, and govern landscapes used for food foraging.

Geographical Distribution and Social Justice of the COVID-19 Pandemic: The Case of Palma (Balearic Islands)

The spatial distribution of the COVID-19 infection rate in the city of Palma (Balearic Islands) is analyzed from the geolocation of positive cases by census tract and its relationship with socioeconomic variables is evaluated. Data on infections have been provided by the Health Service of the Ministry of Health and Consumption of the Government of the Balearic Islands. The study combines several methods of analysis: spatial autocorrelation, calculation of the Gini index and least squares regression, and weighted geographical regression. The results show that the pandemic comprised five waves in the March 2020-March 2022 period, corresponding to the months of April 2020, August 2020, December 2020, July 2021, and January 2022. Each wave shows a particular geographical distribution pattern, however, the second and third waves show higher levels of spatial concentration. In this sense, the second wave, affecting the peripheral neighborhoods of the eastern part of the city. The Gini index confirms geographical imbalances in the distribution of infections in the first waves of the pandemic. In addition, the regression models indicate that the most significant socioeconomic variables in the prediction of COVID-19 infection are average income, percentage of children under 18 years of age, average size of the household, and percentage of single-person households. The study shows that economic imbalances in the city have had a clear influence on the spatial pattern of pandemic distribution. It shows the need to implement spatial justice policies in income distribution to balance the effects of the pandemic.