How People’s COVID-19 Induced-Worries and Multiple Environmental Exposures Are Associated with Their Depression, Anxiety, and Stress during the Pandemic

This study investigates how people's perceived COVID-19 risk, worries about financial hardship, job loss, and family conflicts, and exposures to greenspace, PM2.5, and noise (in people's residential neighborhoods and daily activity locations) are related to their depression, anxiety, and stress during the COVID-19 pandemic. Using a two-day activity-travel diary, a questionnaire, and real-time air pollutant and noise sensors, a survey was conducted to collect data from 221 participants living in two residential neighborhoods of Hong Kong during the COVID-19 pandemic. Linear regression was conducted to explore the relationships. Significant associations between people's COVID-19-related worries and exposures to grassland and PM2.5 with depression, anxiety, and stress were found in the results. These associations with depression, anxiety, and stress vary depending on people's demographic attributes. These results can help direct the public authorities' efforts in dealing with the public mental health crisis during the COVID-19 pandemic.

[1]  M. Kwan,et al.  Associations between COVID-19 risk, multiple environmental exposures, and housing conditions: A study using individual-level GPS-based real-time sensing data , 2023, Applied Geography.

[2]  M. Kwan,et al.  Examining the Influence of Housing Conditions and Daily Greenspace Exposure on People’s Perceived COVID-19 Risk and Distress , 2022, International journal of environmental research and public health.

[3]  Xintao Liu,et al.  Spatial variations of the third and fourth COVID-19 waves in Hong Kong: A comparative study using built environment and socio-demographic characteristics , 2022, Environment and Planning. B, Urban Analytics and City Science.

[4]  M. Kwan,et al.  The Impacts of Housing Characteristics and Built-Environment Features on Mental Health , 2022, International journal of environmental research and public health.

[5]  M. Kwan,et al.  Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research , 2022, Sensors.

[6]  Justine Massu,et al.  Not all types of nature have an equal effect on urban residents' well-being: A structural equation model approach. , 2022, Health & place.

[7]  Laura Alessandretti What human mobility data tell us about COVID-19 spread , 2021, Nature reviews. Physics.

[8]  Lincoln R. Larson,et al.  Greenspace and park use associated with less emotional distress among college students in the United States during the COVID-19 pandemic , 2021, Environmental Research.

[9]  M. Kwan,et al.  The superspreading places of COVID-19 and the associated built-environment and socio-demographic features: A study using a spatial network framework and individual-level activity data , 2021, Health & Place.

[10]  W. Fan,et al.  Stigma, Perceived Discrimination, and Mental Health during China’s COVID-19 Outbreak: A Mixed-Methods Investigation , 2021, Journal of health and social behavior.

[11]  Kostas Mouratidis,et al.  COVID-19 and urban planning: Built environment, health, and well-being in Greek cities before and during the pandemic , 2021, Cities.

[12]  Mei‐Po Kwan,et al.  Uncertainties in the Assessment of COVID-19 Risk: A Study of People’s Exposure to High-Risk Environments Using Individual-Level Activity Data , 2021, Annals of the American Association of Geographers.

[13]  K. Fransen,et al.  The impact of the COVID-19 pandemic on the use of and attitudes towards urban forests and green spaces: Exploring the instigators of change in Belgium , 2021, Urban Forestry & Urban Greening.

[14]  Zachary F. Meisel,et al.  Urban residential tree canopy and perceived stress among pregnant women. , 2021, Environmental research.

[15]  Isabelle Anguelovski,et al.  Exposure to nature and mental health outcomes during COVID-19 lockdown. A comparison between Portugal and Spain , 2021, Environment International.

[16]  M. Helbich,et al.  Multiple environmental exposures along daily mobility paths and depressive symptoms: A smartphone-based tracking study. , 2021, Environment international.

[17]  T. Herbosa,et al.  The Evolution in Anxiety and Depression with the Progression of the Pandemic in Adult Populations from Eight Countries and Four Continents , 2021, International journal of environmental research and public health.

[18]  W. Poortinga,et al.  The role of perceived public and private green space in subjective health and wellbeing during and after the first peak of the COVID-19 outbreak , 2021, Landscape and Urban Planning.

[19]  Adeola Oyenubi,et al.  Job loss and mental health during the COVID-19 lockdown: Evidence from South Africa , 2021, PloS one.

[20]  S. Bhatt,et al.  Reduction in mobility and COVID-19 transmission , 2021, Nature Communications.

[21]  A. Gadermann,et al.  A portrait of the early and differential mental health impacts of the COVID-19 pandemic in Canada: Findings from the first wave of a nationally representative cross-sectional survey , 2021, Preventive Medicine.

[22]  D. Barbieri,et al.  The psychological impact of COVID-19 and restrictive measures in the world , 2021, Journal of Affective Disorders.

[23]  Ethan C Alley,et al.  Bidirectional contact tracing could dramatically improve COVID-19 control , 2021, Nature communications.

[24]  Kimberly C. Thomson,et al.  Examining the impacts of the COVID-19 pandemic on family mental health in Canada: findings from a national cross-sectional study , 2021, BMJ Open.

[25]  V. Venkatesh,et al.  Ethno-cultural disparities in mental health during the COVID-19 pandemic: a cross-sectional study on the impact of exposure to the virus and COVID-19-related discrimination and stigma on mental health across ethno-cultural groups in Quebec (Canada) , 2020, BJPsych Open.

[26]  R. Godbout,et al.  Social, financial and psychological stress during an emerging pandemic: observations from a population survey in the acute phase of COVID-19 , 2020, BMJ Open.

[27]  M. Kwan,et al.  Associations of co-exposures to air pollution and noise with psychological stress in space and time: A case study in Beijing, China. , 2020, Environmental research.

[28]  B. Hogg,et al.  COVID-19 and mental health in Brazil: Psychiatric symptoms in the general population , 2020, Journal of Psychiatric Research.

[29]  T. Lam,et al.  Mental health crisis under COVID-19 pandemic in Hong Kong, China , 2020, International Journal of Infectious Diseases.

[30]  R. McIntyre,et al.  Impact of COVID-19 pandemic on mental health in the general population: A systematic review , 2020, Journal of Affective Disorders.

[31]  Natalie J. Shook,et al.  Job Insecurity and Financial Concern during the COVID-19 Pandemic are Associated with Worse Mental Health. , 2020, Journal of occupational and environmental medicine.

[32]  B. Finch,et al.  Perceived Discrimination and Mental Distress Amid the COVID-19 Pandemic: Evidence From the Understanding America Study , 2020, American Journal of Preventive Medicine.

[33]  M. Subedi,et al.  COVID-19 and stigma: Social discrimination towards frontline healthcare providers and COVID-19 recovered patients in Nepal , 2020, Asian Journal of Psychiatry.

[34]  M. Hotopf,et al.  Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population , 2020, The Lancet Psychiatry.

[35]  N. G. Davies,et al.  Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study , 2020, The Lancet Public Health.

[36]  E. Wan,et al.  Depression and Anxiety in Hong Kong during COVID-19 , 2020, International journal of environmental research and public health.

[37]  B. Brunekreef,et al.  Residential surrounding green, air pollution, traffic noise and self-perceived general health. , 2019, Environmental research.

[38]  B. Brunekreef,et al.  Associations of combined exposures to surrounding green, air pollution and traffic noise on mental health. , 2019, Environment international.

[39]  Howard Frumkin,et al.  Nature and mental health: An ecosystem service perspective , 2019, Science Advances.

[40]  A. Meyer-Lindenberg,et al.  Environmental Exposures and Depression: Biological Mechanisms and Epidemiological Evidence. , 2019, Annual review of public health.

[41]  Angel M. Dzhambov,et al.  Pathways linking residential noise and air pollution to mental ill‐health in young adults , 2018, Environmental research.

[42]  Mei-Po Kwan,et al.  The Neighborhood Effect Averaging Problem (NEAP): An Elusive Confounder of the Neighborhood Effect , 2018, International journal of environmental research and public health.

[43]  Payam Dadvand,et al.  Long‐term exposure to residential green and blue spaces and anxiety and depression in adults: A cross‐sectional study , 2018, Environmental research.

[44]  Charles C. Branas,et al.  Urban Green Space and Its Impact on Human Health , 2018, International journal of environmental research and public health.

[45]  M. Helbich Toward dynamic urban environmental exposure assessments in mental health research , 2018, Environmental research.

[46]  Zhijiong Huang,et al.  Using cell phone location to assess misclassification errors in air pollution exposure estimation. , 2018, Environmental pollution.

[47]  R. Guski,et al.  WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Annoyance , 2017, International journal of environmental research and public health.

[48]  M. Brauer,et al.  Exploring pathways linking greenspace to health: Theoretical and methodological guidance , 2017, Environmental research.

[49]  M. Straus,et al.  Bridging the two Sides of a 30-Year Controversy over Gender Differences in Perpetration of Physical Partner Violence , 2016, Journal of Family Violence.

[50]  K. Dirks,et al.  The Covariance between Air Pollution Annoyance and Noise Annoyance, and Its Relationship with Health-Related Quality of Life , 2016, International journal of environmental research and public health.

[51]  Carolien Beckx,et al.  Dynamic assessment of exposure to air pollution using mobile phone data , 2016, International Journal of Health Geographics.

[52]  Cristina Linares,et al.  Road traffic noise effects on cardiovascular, respiratory, and metabolic health: An integrative model of biological mechanisms. , 2016, Environmental research.

[53]  Jacqueline Kerr,et al.  Effects of buffer size and shape on associations between the built environment and energy balance. , 2014, Health & place.

[54]  M. Kwan The Uncertain Geographic Context Problem , 2012 .

[55]  B. Löwe,et al.  An ultra-brief screening scale for anxiety and depression: the PHQ-4. , 2009, Psychosomatics.

[56]  J. Belknap,et al.  He Hits, She Hits , 2003 .

[57]  J. Saiz,et al.  Effects of COVID-19 lockdown on perceived discrimination and internalized stigma in people with previous mental disorder diagnoses in Spain. , 2021, The American journal of orthopsychiatry.

[58]  H. Zeeb,et al.  Association between aircraft, road and railway traffic noise and depression in a large case‐control study based on secondary data , 2017, Environmental research.

[59]  B. Hoffmann,et al.  Effect of long-term outdoor air pollution and noise on cognitive and psychological functions in adults. , 2015, International journal of hygiene and environmental health.

[60]  S. Swan,et al.  Gender differences in intimate partner violence outcomes. , 2012 .