skip to main content


Title: How indoor environment quality affected college students’ mental health and learning performance during COVID-19: a long-term study
During COVID-19 pandemic, people’s lifestyles have been changed dramatically and an increase of depression among young adults has been observed. Most universities or colleges offered online courses instead to prevent COVID transmission. Typically, home environment is not designed for work or learning. Despite that the relationships between indoor environment quality (IEQ) and people’s physical health and work performance have been investigated in regular time, very few efforts have been taken to understand the relationship between IEQ and students’ mental health and learning performance during COVID-19 when mental health and learning have become more crucial due to the face-to-face classes suspension, stay-at-home policies. The research gap exists on how IEQ at home or similar residential buildings is related to mental health and learning. This work aims to 1) understand how indoor environmental (such as thermal, air quality, lighting, acoustic) satisfaction is related to college students’ mental health and learning performance, and 2) predict depression with IEQ satisfaction.  more » « less
Award ID(s):
1931077 2028224
NSF-PAR ID:
10374216
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
The Healthy Buildings 2021-America Conference
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Abstract The outbreak of SARS-CoV-2 virus forced office workers to conduct their daily work activities from home over an extended period. Given this unique situation, an opportunity emerged to study the satisfaction of office workers with indoor environmental quality (IEQ) factors of their houses where work activities took place and associate these factors with mental and physical health. We designed and administered a questionnaire that was open for 45 days during the COVID-19 pandemic and received valid data from 988 respondents. The results show that low satisfaction with natural lighting, glare, and humidity predicted eye-related symptoms, while low satisfaction with noise was a strong predictor of fatigue or tiredness, headaches or migraines, anxiety, and depression or sadness. Nose- and throat-related symptoms and skin-related symptoms were only uniquely predicted by low satisfaction with humidity. Low satisfaction with glare uniquely predicted an increase in musculoskeletal discomfort. Symptoms related to mental stress, rumination, or worry were predicted by low satisfaction with air quality and noise. Finally, low satisfaction with noise and indoor temperature predicted the prevalence of symptoms related to trouble concentrating, maintaining attention, or focus. Workers with higher income were more satisfied with humidity, air quality, and indoor temperature and had better overall mental health. Older individuals had increased satisfaction with natural lighting, humidity, air quality, noise, and indoor temperature. Findings from this study can inform future design practices that focus on hybrid home-work environments by highlighting the impact of IEQ factors on occupant well-being. 
    more » « less
  2. The early phases of the COVID-19 pandemic in the United States caused unprecedented disruption to engineering students and society-at-large. Residential students suddenly found themselves forced off-campus and into a new regime of online learning. On top of this, students faced pandemic related uncertainty about their health and the health of their loved ones, restrictions on social life, and the privations of a stuttering economy. It is perhaps unsurprising, then, that during the early days of the COVID-19 pandemic the engineering student population saw large increases in incidences of depression and other psychological conditions. While COVID-19 continues to be a concern, many of the restrictions and precautions associated with the early outbreak have been relaxed. Most engineering programs are back to in person learning, and strict COVID-testing regimes, mask mandates, and limits on large public gatherings have been largely phased out. With academia and society slowly adjusting to this “new normal,” it is important to know whether and to what extent mental health of engineering students has changed over the course of the pandemic. This work explores this question by analyzing longitudinal data collected at four times from 2019-2021. We analyze how the prevalence of different conditions changed with the onset of the COVID-19 pandemic, and whether they have returned to pre-pandemic levels. Among other results, we found statistically significant increases were observed in total depressive disorders between our initial sample (Fall 2019) and a sample taken immediately post-COVID (Spring 2020). While measured rates of depression decreased between Spring 2020 and Fall 2021, it was not statistically significant, potentially indicating that the student population is still recovering on this metric. Conversely our data shows a statistically significant drop in moderate-to-major psychological distress between our Fall 2019 pre-pandemic sampling and our Fall 2021 post-pandemic sampling indicating, potentially indicating an improvement in overall mental health. Breaking the data down by gender, no significant changes were observed across any measure during the four sample periods for women respondents. Men, however, showed a significant increase in depressive disorders from Fall 2019 to Spring 2020; and a significant decrease in depressive disorders from Spring 2020 to Fall 2021. 
    more » « less
  3. The aim of this study was to assess the correlation of depression and anxiety with time spent at home among students at two universities—one urban and the other suburban—during the COVID-19 pandemic. Methods: Geolocation data from the smartphones of 124 participants were collected between February 2021 and May 2021. The level of depression was estimated by the PHQ-9 and PHQ-2 screening tools, and anxiety scores were estimated by the GAD-2 and GAD-7 screening tools. Results: 51% of participants in the PHQ-9 surveys indicated mild to severe depression. Participants spent on average 75% of their time at home during COVID. Time spent at home had a positive correlation with the mental health of urban students but a negative correlation with suburban students. The relation between the time at home with mental health was stronger among female participants than among male participants. Correlations between female depression, anxiety, and time at home were significant. Conclusions: Lockdown and distance learning contributed to the high levels of depression in university students. This research highlights the importance of time spent at home for mental health being during the pandemic and the importance of distinguishing between urban and suburban settings when formulating public health recommendations. Quality of time spent at home versus time spent outside differentiated the mental well-being of students located in different environments. Staying at home may be recommended for students without access to safe outdoor places as it is associated with lower levels of depression. 
    more » « less
  4. null (Ed.)
    Background The COVID-19 pandemic has caused several disruptions in personal and collective lives worldwide. The uncertainties surrounding the pandemic have also led to multifaceted mental health concerns, which can be exacerbated with precautionary measures such as social distancing and self-quarantining, as well as societal impacts such as economic downturn and job loss. Despite noting this as a “mental health tsunami”, the psychological effects of the COVID-19 crisis remain unexplored at scale. Consequently, public health stakeholders are currently limited in identifying ways to provide timely and tailored support during these circumstances. Objective Our study aims to provide insights regarding people’s psychosocial concerns during the COVID-19 pandemic by leveraging social media data. We aim to study the temporal and linguistic changes in symptomatic mental health and support expressions in the pandemic context. Methods We obtained about 60 million Twitter streaming posts originating from the United States from March 24 to May 24, 2020, and compared these with about 40 million posts from a comparable period in 2019 to attribute the effect of COVID-19 on people’s social media self-disclosure. Using these data sets, we studied people’s self-disclosure on social media in terms of symptomatic mental health concerns and expressions of support. We employed transfer learning classifiers that identified the social media language indicative of mental health outcomes (anxiety, depression, stress, and suicidal ideation) and support (emotional and informational support). We then examined the changes in psychosocial expressions over time and language, comparing the 2020 and 2019 data sets. Results We found that all of the examined psychosocial expressions have significantly increased during the COVID-19 crisis—mental health symptomatic expressions have increased by about 14%, and support expressions have increased by about 5%, both thematically related to COVID-19. We also observed a steady decline and eventual plateauing in these expressions during the COVID-19 pandemic, which may have been due to habituation or due to supportive policy measures enacted during this period. Our language analyses highlighted that people express concerns that are specific to and contextually related to the COVID-19 crisis. Conclusions We studied the psychosocial effects of the COVID-19 crisis by using social media data from 2020, finding that people’s mental health symptomatic and support expressions significantly increased during the COVID-19 period as compared to similar data from 2019. However, this effect gradually lessened over time, suggesting that people adapted to the circumstances and their “new normal.” Our linguistic analyses revealed that people expressed mental health concerns regarding personal and professional challenges, health care and precautionary measures, and pandemic-related awareness. This study shows the potential to provide insights to mental health care and stakeholders and policy makers in planning and implementing measures to mitigate mental health risks amid the health crisis. 
    more » « less
  5. null (Ed.)
    CONTEXT With the onset of the COVID-19 pandemic, and the resulting response from universities, engineering students find themselves in an unprecedented situation. In addition to stressors related to the curriculum, residential students across the United States are being asked to relocate away from campus and engage in distance learning. At the same time, social distancing requirements are limiting students’ ability to socialize, procure food and supplies, exercise, and remain employed and financially solvent. Some students will fall ill while others face the prospect of sick family members, and even deaths in the family. Prior research suggests that individuals living through this pandemic are likely to face stress, uncertainty, and fear that affects their mental health and academic performance for years to come. PURPOSE OR GOAL The purpose of this study was to understand the ways in which the COVID-19 pandemic is affecting engineering students’ mental wellness, specifically stress, and how the effects differ for different groups of students. The research questions addressed are: 1) What effects has the pandemic had on baseline stress levels, and how do those vary by demographic group? 2) What effects has the pandemic had on quality of life, such as sleep habits and financial security, and how do those vary by demographic group? METHODS An online survey was conducted in the United States in May and June of 2020. More than 800 4-year engineering students who represented many engineering disciplines and universities responded. The survey used a modified version of the Holmes-Rahe Social Readjustment Rating Scale, which is a widely used and validated instrument to measure the effects of certain life events on stress. The data was analysed to determine the average increase in stress levels for students resulting from COVID-19, and which demographic groups have seen the most negative impact. We also report on which stress-inducing life-events were experienced most. OUTCOMES Latinx individuals and international students report statistically significantly higher levels of stress than the baseline population. Engineering students from other historically excluded identities, however,are not facing statistically significantly worse stress than their peers from historically over represented identities. Veterans fare better than the majority population on this metric.The data also indicates that different groups are more likely to experience different negative life-events because of COVID. CONCLUSIONS No previous research has examined the impacts of a global pandemic on engineering student stress and mental wellness. Our findings show that stress and mental wellness need to be understood intersectionally and that some underrepresented groups are disproportionately impacted by COVID-19. Understanding the impacts on students can help universities strategize and allocate limited resources most effectively to support student success. KEYWORDS Mental wellness; COVID-19; stress 
    more » « less