Mental Health Status by Race, Ethnicity and Socioeconomic Status among Young Adults in Texas during COVID-19

Thomas, Priya B.; Mantey, Dale S.; Clendennen, Stephanie L.; Harrell, Melissa B.

doi:10.1007/s40615-024-01923-3

Cited by 3 publications

(3 citation statements)

References 58 publications

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“…Our second aim was to examine the associations of SES and personality traits with symptoms of depression and GAD via ER and DT. Unlike past research [ 43 , 44 ], we did not find an association between SES and mental health problems in our reduced model. The limited variability in SES in our sample may explain this result.…”

Section: Discussioncontrasting

confidence: 99%

“…Further, data collection for the present study took place during the COVID-19 pandemic period. Other sociodemographic factors, like socioeconomic status (SES), may influence these associations [ 43 , 44 ]. Thus, the present study examined, in a sample of Argentinian college students: a) the occurrence of symptoms of depression and anxiety among university students, and b) the indirect associations of the personality traits proposed by the Big Five model and SES with symptoms of depression and anxiety, via ER and DT ( Fig 1 ).…”

Section: Introductionmentioning

confidence: 99%

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Association between personality traits and symptoms of depression and anxiety via emotional regulation and distress tolerance

Aguirre,

Michelini,

Bravo

et al. 2024

PLoS ONE

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The Big Five personality traits have shown associations with symptoms of depression and anxiety among college students, but it is unclear which factors mediate these relationships. Past research suggests that psychological distress is closely related to difficulties in affect regulation (e.g., low distress tolerance). Therefore, the present study examined the associations between personality traits and depression and anxiety via emotion regulation and distress tolerance. Participants were 694 (81.4% females; Mean age = 23.12 [SD 2.75]) Argentinian college students who completed an online survey examining mental health and personality variables. A sizeable percentage of students endorsed moderate to severe symptoms of depression (45.1%) or anxiety (25.9%). Utilizing path analyses, we found that appraisal, a dimension of distress tolerance, atemporally mediated the association between emotional stability and symptoms of depression/anxiety (i.e., higher levels of emotional stability → higher appraisal distress tolerance → fewer symptoms of depression/anxiety). Further, expressive suppression (a dimension of emotion regulation) significantly mediated the associations between personality traits (i.e., agreeableness and extraversion) and symptoms of depression (higher levels of agreeableness/extraversion → lower use of expressive suppression → fewer symptoms of depression). Taken together, the results suggest that higher levels of emotional stability, extraversion and agreeableness could protect students from the development of symptoms of depression/anxiety via lower maladaptive emotion regulation strategies and higher distress tolerance (particularly appraisal). These findings highlight the relevance of intervention strategies specifically tailored to improve distress tolerance and emotion regulation for those students undergoing mental health problems.

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Section: Discussioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Association between personality traits and symptoms of depression and anxiety via emotional regulation and distress tolerance

Aguirre,

Michelini,

Bravo

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

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“…Understanding the risk factors associated with depression in young adults is critical for providing targeted support and ensuring mental health interventions are directed where most needed. Although there is ample evidence of poor mental health conditions among U.S. adults before and during COVID-19 [16][17][18]13,14], few studies have focused on young adults [19][20][21]. Furthermore, most of the available articles studied the early period of the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

Impact of the COVID-19 pandemic on depressive disorder among young adults in the United States: Analysis of the Behavioral Risk Factor Surveillance System data, 2018-2022

Chowdhury,

Mansuri,

Xing

et al. 2024

Preprint

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Purpose: Depressive disorder during early adulthood has been a rising public health concern, potentially further compounded by the COVID-19 pandemic. Using nationally representative large survey samples, this study addressed the knowledge gaps in how COVID-19 affected depressive disorder among U.S. young adults. Methods: The analysis included 348,994 U.S. non-institutionalized young adults aged 18-34 years from the Behavioral Risk Factor Surveillance System for 2018-2022. Changes in the prevalence of diagnosed depressive disorder before and during COVID-19 were assessed by weighted bi-variate analysis using Rao-Scott Chi-Square test, with multivariable logistic regression models fitted to assess the magnitude of depressive disorder before and during COVID-19. Results: Overall, the prevalence of depressive disorder increased by 13.7% (p<0.001) from 20.5% before COVID-19 to 23.3% during COVID-19. Adjusted for sociodemographic and lifestyle factors, the odds of depressive disorder during COVID-19 as compared to before COVID-19 were highest for females (OR: 1.35, 95% CI: 1.29-1.40), aged 18-24 years (OR: 1.34, 95% CI: 1.27-1.41), other races (OR: 1.46, 95% CI: 1.31-1.62), attended college or technical school (OR: 1.33, 95% CI: 1.26-1.40), employed (OR: 1.32, 95% CI: 1.27-1.37), and married (OR: 1.32, 95% CI: 1.24-1.40). Conclusion: The study findings revealed the importance of recognizing and understanding the most affected groups of young adults during a pandemic like COVID-19, providing essential insights for developing targeted interventions and policies.

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Determinants of Self-reported Health in Middle-Aged Canadians: Examining the Role of Perceived Socioeconomic Status

Özkan

2024

PEK

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This study examines the determinants of self-reported health (SRH) among 1,674 middle-aged Canadians using data from the seventh wave of the World Values Survey (WVS-7) collected between 2017 and 2022. A probit regression model was employed to analyse the influence of various factors on health outcomes. The findings highlight that perceived socioeconomic status (PSES) plays a significant role in health, with individuals in higher socioeconomic classes reporting significantly lower probabilities of poor health. Contrary to expectations, traditional demographic factors such as foreign-born status, gender, marital status, language proficiency, ethnicity, and education levels do not significantly predict poor health. The analysis of interaction terms between PSES and these variables revealed no significant interaction effects, indicating that the impact of PSES on health is consistent across different subgroups. Additionally, being employed and having children at home were identified as protective factors against poor health. Regional variations were mostly insignificant, except for Prince Edward Island, where residents were less likely to report poor health. The study underscores the importance of improving socioeconomic conditions to reduce health disparities and enhance public health among middle-aged Canadians.

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Mental Health Status by Race, Ethnicity and Socioeconomic Status among Young Adults in Texas during COVID-19

Cited by 3 publications

References 58 publications

Association between personality traits and symptoms of depression and anxiety via emotional regulation and distress tolerance

Association between personality traits and symptoms of depression and anxiety via emotional regulation and distress tolerance

Impact of the COVID-19 pandemic on depressive disorder among young adults in the United States: Analysis of the Behavioral Risk Factor Surveillance System data, 2018-2022

Determinants of Self-reported Health in Middle-Aged Canadians: Examining the Role of Perceived Socioeconomic Status

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