Question
What were the independent and dependent variables in the study you read? What were the authors trying to show in their article? What was the
What were the independent and dependent variables in the study you read?
What were the authors trying to show in their article? What was the most important result of the study ?
Gender-based Differences of Contagious Negative Emotions, Notable Psychological Distress, and Mental Health Burden during the COVID-19 Outbreak
Gregory S..n@aa-er.org
The Health Economics Research Unit
at CLI, Glasgow, Scotland
ABSTRACT. The purpose of this study was to empirically examine gender-based differences of contagious negative emotions, notable psychological distress, and mental health burden during the COVID-19 outbreak. Building my argument by drawing on data collected from APA, Chapman University, Ginger, GMU/CCCC,
HHD, ONS, Pew Research Center, Rek et al. (2020), Statista, the University of Melbourne, and YPCCC, I performed analyses and made estimates regarding prev alence of stress, anxiety, and depression during the COVID-19 pandemic. The struc tural equation modeling technique was used to test the research model.
Keywords: gender; COVID-19; negative emotion; psychological distress
How to cite: Sampson, G. (2020). "Gender-based Differences of Contagious Negative Emotions, Notable Psychological Distress, and Mental Health Burden during the COVID 19 Outbreak,"Journal of Research in Gender Studies10(2): 128-137. doi:10.22381/JRGS 10220208 |
Received 28 May 2020 Received in revised form 17 December 2020
Accepted 23 December 2020 Available online 28 December 2020
1. Introduction
There is a pressing demand for psychological backing and counseling for persons, groups, and populations at risk for mental health disorders (e.g., in creased anxiety or depressive symptoms) throughout the COVID-19-related quarantine. (Guo et al., 2020) Women display elevated COVID19 anxiety, increased time of dwelling on such a contagious virus daily, and more heightened depressive symptoms than men. (Petzold et al., 2020)
128
2. Conceptual Framework and Literature Review
COVID-19 patients may show symptoms of mental health and psychiatric disorders (e.g., anxiety, depression, and sleep disturbances). (Deng et al., 2020) Behavioral alterations and constraints in social participation (e.g., reduced community contact) are brought about by isolation, quarantine, and
physical distancing related to COVID-19 psychological distress displayed in irritation, anxiety, and depression. (Usher et al., 2020) Modifications in community activities, limitation of lifestyle and social interactions, panic as regards COVID-19, the economic decline, and restricted food access may cause unsatisfactory mental health. (Flentje et al., 2020) Nurses interacting with COVID-19 patients incessantly, while supplying them with specialized care and diseaserelated knowledge, improve their informational and emo tional backing, and confidence of recovery. (Zhang et al., 2020a) Throughout the deconfinement operation, conveying unequivocal messages concerning social behaviors as regards washing hands, wearing face masks, and physical distancing, and the requirements for frequenting public places, assists in decreasing doubt. (Glowacz and Schmits, 2020)
3. Methodology and Empirical Analysis
Building my argument by drawing on data collected from APA, Chapman University, Ginger, GMU/CCCC, HHD, ONS, Pew Research Center, Rek et al. (2020), Statista, the University of Melbourne, and YPCCC, I performed analyses and made estimates regarding prevalence of stress, anxiety, and de
pression during the COVID-19 pandemic. The structural equation modeling technique was used to test the research model.
4. Results and Discussion
COVID-19 pandemicrelated stress may have transient consequences on the mental health of numerous individuals. (Kujawa et al., 2020) Persons dis playing COVID-19 symptoms experience significant levels of psychological distress, panic, anxiety, and depression. (Corts-lvarez et al., 2020) Through out the COVID-19 outbreak, men and women with symptoms of mental ill health experience comparable levels of suicidal ideation. (O'Connor et al., 2020) The links between anxiety and depressive symptoms and elevated alcohol consumption during the COVID-19 pandemic are persistent between women and men. (Tran et al., 2020) Increased exposure to COVID19- related stressors is related to heightened anxiety and depressive symptoms. (Rudenstine et al., 2020) (Tables 1-13)
129
Table 1Have you done any of the following when you have felt stress or anxiety related to COVID-19? Select all that apply. (%) (men/women)
Talked with a friend or family member about my stress or anxiety | 72/76 |
Increased my time spent on social media | 76/79 |
Looked up information about how to manage stress or anxiety online | 63/66 |
Decreased my time spent reading/consuming news | 61/58 |
Mental health session online or in-person (e.g. with a psychologist) | 22/25 |
Decreased my time spent on social media | 24/21 |
Sources: Course Hero; NASPA; College Pulse; our survey among
4,400 individuals conducted April 2020.
Table 2How would you rate the change in stress you are experiencing at work compared to a week ago? (%) (men/women)
Decreased significantly. | 3/2 |
Decreased slightly. | 8/6 |
Stayed the same. | 36/34 |
Increased slightly. | 22/23 |
Increased significantly. | 31/35 |
Sources: CHCF; my survey among 4,400 individuals conducted April 2020.
Table 3% who say they are very/somewhat concerned that they... (men/women)
Will get COVID-19 and require hospitalization | Might unknowingly spread COVID-19 to others | |
White | 75/77 | 71/73 |
Black | 78/79 | 74/76 |
Hispanic | 76/78 | 73/75 |
18-29 | 68/70 | 63/65 |
30-49 | 71/73 | 67/69 |
50-64 | 72/75 | 72/75 |
65+ | 77/80 | 75/78 |
Upper income | 73/74 | 65/67 |
Middle income | 76/78 | 68/71 |
Lower income | 79/82 | 74/77 |
Sources: Pew Research Center; my survey among 4,400 individuals conducted April 2020.
Table 4How the stress and anxiety caused by the COVID-19 pandemic are having an effect on individuals' mental health. Select all that apply. (men/women)
62%/65% | are anxious about the possibility of getting COVID-19. |
59%/62% | are anxious about becoming seriously ill or dying from COVID-19. |
69%/71% | are anxious about the possibility of family and loved ones getting COVID-19. |
48%/51% | COVID-19 is having a serious impact on their mental health. |
61%/65% | have trouble sleeping (difficulty falling asleep, midnight awakening, and earlier awakening). |
Sources: APA; my survey among 4,400 individuals conducted April 2020.
130
Table 5"Because of the COVID-19 pandemic,
over the past 14 days I..." (%, yes) (men/women)
have had upsetting dreams that replay part of the experience of the COVID-19 pandemic or are clearly related to it. | 72/75 |
have had powerful images or memories that sometimes come into my mind in which I feel the experience of the COVID-19 pandemic is happening again in the here and now. | 70/73 |
have avoided internal reminders of the experience of the COVID-19 pandemic (e.g. thoughts, feeling, or physical sensations). | 66/68 |
have avoided external reminders of the experience of the COVID-19 pandemic (e.g. people, places, conversations, objects, activities, or situations). | 61/63 |
have been "super-alert", watchful, or on guard. | 56/55 |
have been feeling jumpy or easily startled. | 37/39 |
have suffered from unforeseeable severe anxiety attacks (panic) with physical symptoms (e.g. palpitations, chest pain, dizziness). | 37/40 |
have suffered from sleep problems, such as difficulty falling asleep (< 30 minutes) difficulty sleeping through the night early morning awakening fearful dreams or nightmares not about the COVID-19 pandemic fearful dreams or nightmares about the COVID-19 pandemic | 34/37 |
felt or behaved in a more irritable, rageful, angry | 25/27 |
Sources: Rek et al. (2020); my survey among 4,400 individuals conducted April 2020.
Table 6Are you worried about each of the following
as a result of the spread of COVID-19? (%) (men/women)
You or someone in your family getting sick from COVID-19 | 82/85 |
The healthcare system becoming overwhelmed by COVID-19 patients | 81/84 |
Being unable to access medical care | 79/81 |
Sources: YPCCC; GMU/CCCC; my survey among 4,400 individuals conducted April 2020.
Table 7% reporting high anxiety by marital status (men/women)
Single | 23/23 |
Married or civil partnership | 48/46 |
Separated/Divorced | 27/28 |
Widowed | 2/3 |
Sources: ONS; my survey among 4,400 individuals conducted April 2020.
The COVID-19-related knowledge and indicators of the links between the acuteness of anxiety or depressive symptoms and elevated alcohol consump tion do not differ by gender. (Tran et al., 2020) Anxiety-like behavior (e.g. becoming readily anxious or irascible) is displayed predominantly in the affected population and in the COVID-19 infected patients. (Zhang et al., 2020b) Increased stressors harmonize with the heightened frequency of COVID19 exposure and mortality rates. (Rudenstine et al., 2020)
131
Table 8Have you experienced any of these thoughts, feelings, or reactions associ- ated with the COVID-19 pandemic? Select all that apply. (%) (men/women)
Feeling stressed or overwhelmed | 87/89 |
Anxiety, worry, or fear | 85/87 |
Racing thoughts | 79/80 |
Sadness, tearfulness, loss of interest in usual enjoyable activities | 78/81 |
Physical symptoms, such as increased heart rate, stomach upset, fatigue, or other uncomfortable sensations | 61/64 |
Frustration, irritability, or anger | 59/62 |
Restlessness or agitation | 57/61 |
Feeling helpless | 54/58 |
Difficulty concentrating or sleeping | 49/53 |
Feeling disconnected from others | 37/39 |
Apprehension about going to public spaces | 44/47 |
Trouble relaxing | 37/40 |
Sources: The University of Melbourne; my survey among
4,400 individuals conducted April 2020.
Table 9In the past 7 days, how often have you had physical reactions, such as sweating, trouble breathing, nausea, or a pounding heart, when thinking about your experience with the COVID-19 outbreak? (%) (men/women)
Rarely or none of the time (less than 1 day) | 13/10 |
Some or a little of the time (1-2 days) | 17/14 |
Occasionally or a moderate amount of time (3-4 days) | 27/28 |
Most or all of the time (5-7 days) | 43/48 |
Sources: Pew Research Center; my survey among 4,400 individuals conducted April 2020.
Table 10Over the last 2 weeks, how often have you been bothered by the following problems? (%) (men/women)
Not at all | Several days | More than half the days | Nearly every day | |
Feeling nervous, anxious or on edge | 1/1 | 14/12 | 33/32 | 52/55 |
Not being able to stop or control worrying | 1/1 | 15/12 | 35/32 | 49/55 |
Little interest or pleasure in doing things | 2/1 | 16/14 | 32/30 | 50/55 |
Feeling down, depressed, or hopeless | 2/1 | 14/13 | 34/32 | 50/54 |
Sources: HHD; my survey among 4,400 individuals conducted April 2020.
Table 11% at least somewhat concerned about unknowingly
spreading COVID-19 to others? (men/women)
Very concerned | 67/70 |
Somewhat concerned | 33/30 |
Sources: Statista; my survey among 4,400 individuals conducted April 2020.
132
Table 12The impact of the COVID-19 pandemic
on collective mental health (%, yes, relevance) (men/women)
Vulnerable populations have been particularly hard-hit, as COVID-19 has worsened already-present health inequities for older adults, low-income families, and people in substandard or congregate living conditions. | 87/89 |
Once physical distancing measures are lifted, many people will still approach social activity with vigilance. | 79/82 |
Public transportation, office environments, and other public fora may still cause anxiety for large swaths of the population. | 72/74 |
If anxiety isn't addressed, it may lead to a diagnosable mental health disorder or endure for years to come. | 75/78 |
Even when life does return to normal, perceived loss of control and sustained feelings of helplessness across social, economic, and health dimensions may persist. | 71/74 |
COVID-related stress and anxiety are causing serious sleep disruptions. short-term consequences of sleep disruption include increased stress, emotional distress and mood disorders, and cognitive, memory, and performance deficits. Chronic sleep deprivation is associated with a number of physical and psychiatric problems, with men experiencing an increase in mortality. | 67/71 |
Social isolation is creating barriers to recovery from substance use disorder. | 54/56 |
Individual and collective grief from having lost loved ones and over having survived the pandemic when others didn't. | 57/60 |
Sources: Ginger; my survey among 4,400 individuals conducted April 2020.
Table 13Adults' perceptions of how COVID-19 pandemic
has influenced their mental health (%) (men/women)
Less than normal | About the same as normal | More than normal | |
Feel down, depressed, or hopeless | 16/12 | 31/30 | 53/58 |
Feel nervous, anxious, or on edge | 12/10 | 20/18 | 68/72 |
Feel stressed | 11/8 | 18/16 | 71/76 |
Sources: Chapman University; my survey among 4,400 individuals conducted April 2020.
Multiple stressors shape women's psychological and physical health through out the COVID-19 epidemic as regards the need to provide family harmony and educate children while acting as the caretaker of the loved ones' negative emotions. (Tian et al., 2020) Senior citizens may not employ online commu nications, being at certain risk of prolonged isolation by physical distancing. (Douglas et al., 2020) Psychiatric wards can be set up with specific areas for COVID-19 positive patients having severe psychiatric disorders and without acute medical symptoms. (Percudani et al., 2020) As a result of annoyance and worry, COVID-19-related violence results with likely transgenerational transmission of psychological distress and brutality. (Mazza et al., 2020)
133
5. Conclusions and Implications
The rise in awareness and harnessing of digital health to satisfy the needs of COVID-19 quarantined patients with physical distancing constraints, and a deficiency in physical assistance have directed attention to anxiety and de pression, somewhat disregarding individuals having severe mental illnesses (e.g., psychotic disorders). (Torous and Keshavan, 2020) The distressing features of participation in the COVID-19 pandemic bring about mental health risks for both healthcare workers and patients, possibly generating long-term psychological harm. (Choi et al., 2020) Monitoring neuropsychiatric symptoms and neuroimmune status of COVID-19 infected patients may configure the prolonged adverse effects of such virus on brain and behavior.
(Troyer et al., 2020) Persons exposed to more COVID-19 stressors have in creased chances of depression symptoms. (Ettman et al., 2020) As limitations, this article focuses only on gender-based differences of contagious negative emotions, notable psychological distress, and mental health burden during the COVID-19 outbreak. Further research should consider gender differences in COVID-19 sentiments, attitudes, habits, and behaviors.
Survey method
The interviews were conducted online and data were weighted by five variables (age, race/ethnicity, gender, education, and geographic region) using the Census Bureau's American Community Survey to reflect reliably and accurately the demographic composition of the United States. The cumulative response rate accounting for nonresponse to the recruitment surveys and attrition is 2.5%. The break-off rate among individuals who logged onto the survey and completed at least one item is 0.2%. Sampling errors and test of statistical significance take into account the effect of weighting. Question wording and practical difficulties in conducting surveys can also introduce error or bias into the findings of opinion polls. The sample weighting was accomplished using an iterative proportional fitting process that simultaneously balanced the distributions of all variables. Stratified sampling methods were used and weights were trimmed not to exceed 3. Average margins of error, at the 95% confidence level, are +/-2%. The design effect for the survey was 1.3. For tabulation purposes, percentage points are rounded to the nearest whole number. The precision of the online polls was measured using a Bayesian credibility interval. Confirmatory factor analysis was employed to test for the reliability and validity of measurement instruments. Descriptive statistical analysis and multivariate inferential tests were undertaken for the survey responses and for the purpose of variable reduction in regression modeling. Multivariate analyses, and not univariate associations with outcomes, are more likely to factor out confounding covariates and more precisely determine the relative significance of individual variables. Independentt-tests for continuous variables or chi-square tests for categorical variables were employed. An Internet-based survey software program was utilized for the delivery and collection of responses.
134
Compliance with ethical standards
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
An informed e-consent was obtained from individual participants. Study participants were informed clearly about their freedom to opt out of the study at any point of time without providing justification for doing so.
Animal studies statement verification
This article does not require animal studies verification.
Identifiable images and data statement verification
This article does not require identifiable images and data statement verification.
Data and materials availability
All research mentioned has been published and data is available from respective outlets.
Funding information
This paper was supported by Grant GE-1349867 from the Behavioral and Consumer Neuroscience Laboratory, Dallas, TX.
Author contributions
The author confirms being the sole contributor of this work and approved it for publication.
Conflict of interest statement
The author declares that the research was conducted in the absence of any com mercial or financial relationships that could be construed as a potential conflict of interest.
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started