Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic

Abstract

The coronavirus disease 2019 (COVID-19) has had a rapid and sustained negative impact on sleep and mental health in the United States with disproportionate morbidity and mortality among socioeconomically deprived populations. We used multivariable and logistic regression to evaluate the associations among sleep duration, mental health, and socioeconomic deprivation (social deprivation index) in 14,676 Ohio residents from 1101 zip code tabulation areas from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey. Higher socioeconomic deprivation was associated with shorter sleep and poorer mental health after adjusting for covariates (age, sex, race, education, income, and body mass index) in the multivariable linear regression models. Those in the highest socioeconomically deprived areas had 1.6 and 1.5 times higher odds of short sleep (duration < 6 h) and poor mental health (>14 poor mental health days), respectively, in the logistic regression models. Previous researchers have focused on limited socio-environmental factors such as crowding and income. We examined the role of a composite area based measure of socioeconomic deprivation in sleep duration and mental health during the first year of COVID-19. Our results suggest the need for a broader framework to understand the associations among socioeconomic deprivation, sleep duration, and mental health during a catastrophic event.

Aptitude measurement: is measurement validity compromised in the morning

“…Second, the shift in social and recreational activities later in the day may result in late night sleeping that comparatively affects energy levels in the morning, especially as individuals have to accommodate early praying in the morning, resulting in sleepiness and fatigue in the early morning hours (Pilcher and Huffcutt, 1996;BaHammam et al, 2012). The present findings are in line with the suspected culture of night work/recreation which has been integrated into the country's , 2022), which is manifested with decreased motivation, impaired memory, difficulties concentrating (Wolfson and Carskadon, 1998;Dewald et al, 2010) or cognitive recovery (Alhola and Polo-Kantola, 2007) as well as decreased physical and mental health (Gruba et al, 2021;Griggs et al, 2022).…”

“…The present findings are in line with the suspected culture of night work/recreation which has been integrated into the country’s functioning ( Al-Ajlouni, 2019 Mirghani et al, 2019 ). The poor academic performance during morning testing observed in the present study is likely linked to the causal mechanism of sleep deprivation and circadian disruption ( McEwen and Karatsoreos, 2022 ), which is manifested with decreased motivation, impaired memory, difficulties concentrating ( Wolfson and Carskadon, 1998 ; Dewald et al, 2010 ) or cognitive recovery ( Alhola and Polo-Kantola, 2007 ) as well as decreased physical and mental health ( Gruba et al, 2021 ; Griggs et al, 2022 ). Practically speaking, the government might launch campaigns to raise public knowledge of healthy sleeping practices and the hazards of sleep deprivation to one’s health.…”

Neighborhood-level social determinants of health measures independently predict receipt of living donor liver transplantation in the United States

“…In other areas of clinical medicine, studies have often described much higher relevant SDI thresholds, ranging from using the top 50% of SDI scores, [32] SDI ≥ 70, [33] to the highest 10% of SDI scores. [34] Our lower threshold for liver transplantation is likely explained by 2 factors: (1) a selection bias already exists among transplanted patients, such that they a priori have less socioeconomic deprivation than broader disease populations because of the rigorous demands on patients and families in the transplant evaluation process; and (2) achieving LDLT is inherently difficult for recipients and donors alike, such that even small differences in social risks can decrease access. Our analysis with SDI suggests that the issue of LDLT disparities extends beyond patients' individual circumstances and may also be affected by the characteristics of the communities in which they live.…”

“…Our analysis shows that LT recipients with an SDI score above a threshold score > 40 have a reduced likelihood of undergoing LDLT. In other areas of clinical medicine, studies have often described much higher relevant SDI thresholds, ranging from using the top 50% of SDI scores, 32 SDI ≥ 70, 33 to the highest 10% of SDI scores 34 . Our lower threshold for liver transplantation is likely explained by 2 factors: (1) a selection bias already exists among transplanted patients, such that they a priori have less socioeconomic deprivation than broader disease populations because of the rigorous demands on patients and families in the transplant evaluation process; and (2) achieving LDLT is inherently difficult for recipients and donors alike, such that even small differences in social risks can decrease access.…”

The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation

“…COVID-19 and vaccination hesitancy are topics that have recently gained attention due to the pandemic and infodemic situation that increased vaccination hesitancy around the world [66]. Other topics related to the pandemic and co-occurring infodemic are the ones of social media [33,67] and mental health [68][69][70].…”