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Original article
peer-reviewed

# Employment Status and Its Association With Psychological Distress and Alcohol Consumption

### Abstract

Purpose: The objective of this analysis was to find an association between employment status, psychological distress, and alcohol consumption.

Methods: Data from the 2020 Health Information National Trends Survey (HINTS) data was used. Patient health questionnaire-4 (PHQ-4) data and an average number of drinks per week were used to assess psychological distress and drinking status.

Results: Out of the 3865 people who answered the survey in the year 2020, 1890 (59.11%) were employed in one or multiple jobs during the time of the survey. The sample included 1561 men and 2204 women with an average age of 48.4 years. More than half (58.7%) of them were Non-Hispanic White followed by Hispanic and Non-Hispanic Black at 15.73% and 10.32%, respectively. Bivariate analysis showed a significant association between employment, psychological distress (p value=0.032), and alcohol drinking (p value=0.002); 60.59% of participants reporting severe distress (PHQ-4 score of 9-12) were unemployed. Alternatively, 73.1% of the employed respondents reported no stress (PHQ-4 score of 0-2). While more than half (75.97%) of those who were unemployed consumed only 1-2 drinks per week on an average, 7.27% consumed >13 drinks per week on an average. After adjusting for covariates, the regression analysis showed a highly significant association (p value< 0.001) between unemployment and psychological distress (OR=1.55; 95% CI 1.03, 2.31), and alcohol consumption (OR=0.67; 95% CI 0.48, 0.92).

Conclusion: Unemployment is associated with outcomes like psychological distress and alcohol consumption. However, being employed was found to be more strongly associated with alcohol drinking. We do not know if the coronavirus disease 2019 (COVID-19) pandemic was a risk factor for the given outcomes.

### Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or more commonly known as coronavirus disease 2019 (COVID-19), was declared to be a public health emergency of international concern (PHEIC) by the World Health Organization (WHO) in early 2020 [1]. The pandemic has had a significant effect on the global economy leading to a sudden change in the employment status of several people. The increase in unemployment has been a major concern for the United States since the shutdown of the country due to the on-going pandemic. A total of 20.6 million people were reported to have lost their jobs in the first couple months of the pandemic in 2020, resulting in an unemployment rate of 14.7%, which gradually increased to 14.8% in April 2020 before it started to decline to 6.7% in October 2020 [2,3]. The rate of unemployment peaked in April 2020 during which nearly 49 million Americans were unemployed [4]. The highest rates of unemployment were reported in New Jersey (10.2%), followed by Hawaii (10.2%), Nevada (10.1%), New York (8.4%), and Louisiana (8.3%) [5].

The COVID-19 pandemic has increased the concerns about mental distress and substance use. Psychological distress, according to American Psychiatry Association (APA), is a set of painful mental and physical symptoms associated with normal fluctuations of mood. It can be assessed using specific clinical tools and can identify the beginning of common mental health issues such as anxiety and depression. If left untreated, it may lead to mental health conditions like major depressive disorder, anxiety disorder, schizophrenia, somatization disorders, sleep disorders, and several chronic health conditions [6,7]. McLachlan and Gale [7] showed that psychological distress significantly increases the risk of several other chronic health conditions like cardiovascular diseases, arthritis, chronic obstructive pulmonary disease.

Several risk factors for psychological distress have been reported in the literature. Some of the common ones include stressful life events and family history of depression, female gender, any other comorbid medical conditions, unemployment, immigration, academic achievements and or bullying experience at school, subjective memory complaint (SMC) [8-11]. Anxiety and depression are more common in the general population. An ultra-brief screening scale [12], patient health questionnaire-4 (PHQ-4), a four-point Likert-type scale was developed to measure the symptoms of anxiety and depression. It is the combination of 2-item measure of core symptoms (PHQ-2) for depression and 2-item measure for anxiety (GAD-2). It is a quick and easy clinical tool to screen patients for symptoms of anxiety or depression. Patients scoring high on this tool are assessed further for a definitive clinical diagnosis.

The pandemic has seen an increase in overall alcohol consumption by individuals [13]. According to the Dietary guidelines for Americans, provided by the U.S. Department of Health and Human Services and the U.S. Department of Agriculture [14], adult men should limit alcohol intake to a maximum of two drinks a day, whereas adult women should have no more than one alcoholic drink a day to lead a healthy, balanced life. Heavy alcohol use is defined as four or more drinks daily, or more than 14 drinks weekly for adult men. However, more than three alcoholic drinks daily, or more than seven drinks per week is considered heavy alcohol use for women. The National Institute on Alcohol Abuse and Alcoholism (NIAAA) defines binge drinking as an alcohol consumption typically five or more drinks for men, or four or more drinks for women during a time period of two hours. As per the Substance Abuse and Mental Health Services Administration (SAMHSA), binge drinking is also defined as five drinks for men, and four drinks per woman during a few hours, at least monthly [15]. Binge drinking is also defined as alcohol consumption that brings blood alcohol concentration to 0.08%.

A study performed in a large public University in Ohio focused on analyzing the alcohol consumption of college students after campus closure at the onset of the COVID-19 pandemic. The study also focused on the relationship between psychological distress, social support and changes in alcohol intake. It was discovered that campus closure during this pandemic led to an increase in alcohol consumption throughout, and those with anxiety and depression had a higher increase than those without any psychological distress [16]. Another study that focused on alcohol consumption in patients with a known history of alcohol use disorder was performed in the UK. The COVID-19 pandemic was a risk factor in itself for increased alcohol use, those with a history of alcohol use disorder were at a higher risk of relapse. In this study, there was an increase in alcohol consumption in 21% of the participants [13].

While many studies have reported the association of employment with alcohol consumption, several others have reported unemployment being associated with increase in alcohol intake. Psychological distress, on the other hand, has been reported to be only associated with unemployment. Moreover, alcohol intake and psychological distress have been shown to have a bi-directional association. The aim of this study is the examine the association of employment status (exposure) with alcohol consumption (outcome) and psychological distress (outcome) together.

### Materials & Methods

#### Data collection

Data was obtained from the Health Information National Trends Survey (HINTS 5 Cycle 4) conducted in the year 2020 [17]. This national surveillance survey is conducted annually by the National Cancer Institute. The sample design for the survey consisted of two stages. An equal probability sample of addresses was selected from each sampling stratum in the first stage. The second stage consisted of one adult per sampled household. The sampling frame for Cycle 4 consisted of a single-mode mail survey using the Next Birthday Method for the respondent section. A total of 3865 respondents completed the survey questionnaire in this cycle. The completion rate (at least 80% survey completed) was 98.1% (n=3792).

No Institutional Review Board (IRB) approval was required to use a publicly available dataset.

#### Measures

The survey asked the question on employment status: Which of the following best describe your current occupational status? Employed full time, employed part time, homemaker, student, retired, disabled, unemployed less than one year, unemployed one year or more, others. The answers were re-categorized into employed (full time and part time) and unemployed.

Psychological distress was assessed using a combined score from four separate questions. The question included in the survey was: Over the past two weeks, how often have you been bothered by: little interest, hopelessness, nervousness, and worrying. The answers included not at all, several days, more than half days, nearly every day. A new ordinal variable was created to interpret the total calculated PHQ-4 score for all four symptoms. The new variable phq4_score_interpret was categorized based on total PHQ-4 score interpretation as 0-2 as none; 3-5 as mild; 6-8 as moderate; and 9-12 as severe psychological distress. Alcohol consumption was calculated using the average number of weekly drinks. A new ordinal variable was created to convert the responses into categories of 1-2, 3-5, 6-8, 9-12, and more than equal to 13.

#### Data analysis

The data was analyzed with STATA software, version 16.1 (Stata Corporation, College Station, TX, USA), using descriptive statistics and logistic regression analysis. To evaluate the association of unemployment with psychological distress and alcohol consumption, a weighted sample was used. A weighted sample better represents the general US adult population and adjusts for possible confounders in the sampling method. After controlling for potential confounders, logistic regression analysis was conducted.

### Results

Table 1 shows the descriptive statistics for the sample population (with weighted proportions). The sample included 1561 men and 2204 women with a mean age of 48.4 years. More than half (58.7%) of the sample were Non-Hispanic White followed by Hispanic and Non-Hispanic Black at 15.73% and 10.32%, respectively. Around 15% of the respondents had an annual household income of less than $20,000 and 8% did not complete high school. In addition, more than half of the respondents had an annual household income of over$50,000 (60.72%) and had completed some college or beyond (69.14%). 1890 (59.11%) of the respondents were employed in one or multiple jobs during the time of the survey.

 Variables n (weighted %) Age (Mean, SD) 48.4 (0.30) Gender Female 2204 (50.22%) Male 1561 (47.57%) Missing data 100 (2.21%) Race and Ethnicity Non-Hispanic White 2133 (58.7%) Non-Hispanic Black 596 (10.32%) Non-Hispanic Asian 161 (4.6%) Hispanic 481 (15.73%) Others 119 (10.65%) Education Less than High school 273 (8.03%) High school graduate 705 (22.51%) Some college 1081 (39.12%) College graduate or more 1663 (30.02%) Missing data 143 (0.32%) Household income Less than $20,000 624 (15.15%)$20,000 to $35,000 451 (11.46%)$35,000 to $50,000 460 (12.67%)$50,000 to $75,000 592 (18.26%)$75,000 or more 1321 (42.46%) Employment status Employed 1890 (59.11%) Unemployed 1888 (40.89%)

#### Association of unemployment and psychological distress

Bivariate analysis in Table 2 showed significant association between employment status and psychological distress (p value=0.032). 77.5% (n=1268) of the unemployed respondents reported having no distress (PHQ-4 score of 0) while 14.5% reported having moderate to severe distress. 60.59% of participants reporting severe distress (PHQ-4 score of 9-12) were unemployed.

 Psychological distress (PHQ-4 score) P value None (0-2) Mild (3-5) Moderate (6-8) Severe (9-12) Age 0.000* Gender 0.159 Male 35.34% 8.15% 2.93% 2.82% Female 33.55% 9.41% 4.76% 3.04% Race and Ethnicity 0.0082* Non-Hispanic White 44.22% 11.01% 4.99% 3.37% Non-Hispanic Black 7.99% 1.86% 0.36% 0.85% Non-Hispanic Asian 10.48% 3.47% 1.78% 0.96% Hispanic 4.39% 0.63% 0.22% 0.05% Others 1.48% 0.98% 0.52% 0.43% Education 0.2161 Less than High school 5.01% 1.18% 0.95% 0.67% High school graduate 14.46% 4.19% 1.82% 1.73% Some college 26.66% 7.97% 2.93% 1.84% College or more 22.34% 4.37% 2.34% 1.55% Household income 0.0008* Less than $20,000 7.55% 4.21% 1.73% 1.44%$20,000 to $35,000 7.63% 1.99% 1.12% 0.65%$35,000 to $50,000 8.35% 1.78% 1.57% 0.60%$50,000 to $75,000 12.66% 3.54% 0.85% 1.28%$75,000 or more 31.77% 6.43% 2.82% 2.05% Occupation 0.0320* Employed 42.52% 9.57% 4.69% 2.7% Unemployed 26.06% 17.35% 8.03% 6.04% *statistically significant

After adjusting for covariates, the logistic regression analysis showed a highly significant association of employment status with psychological distress. Alcohol consumption showed an insignificant association with psychological distress; hence, it was not included in the final model. Table 3 shows that the unemployed had 1.03-2.31 times the odds of having psychological distress compared to respondents who were employed (p value=0.033). Age was shown to be significantly associated (OR=0.97; 95% CI 0.96, 0.98; p value<0.001) with distress symptoms. Participants who reported an annual household income of more than 75,000$had lower odds (OR=0.39; 95% CI 0.24, 0.62) of having psychological distress compared to the ones with an annual household income of less than 20,000$ (p<0.001). Additionally, Non-Hispanic Blacks had lower odds (OR=0.69; 95% CI 0.48, 0.99) of psychological distress compared to Non-Hispanic Whites (p=0.046).

 Psychological distress Variables AOR (95% CI) P value Occupation Employed Reference Unemployed 1.55 (1.03, 2.31) 0.033* Age 0.97 (0.96, 0.98) 0.000* Household income Less than $20,000 Reference$20,000 to < $35,000 0.56 (0.35, 0.89) 0.015*$35,000 to < $50,000 0.52 (0.29, 0.93) 0.029*$50,000 to < $75,000 0.47 (0.29, 0.93) 0.008*$75,000 or more 0.39 (0.24, 0.62) 0.000* Race/Ethnicity Non-Hispanic White Reference Non-Hispanic Black 0.69 (0.48, 0.99) 0.046* Non-Hispanic Asian 0.99 (0.68, 1.43) 0.968 Hispanic 0.46 (0.23, 0.90) 0.024* Others 1.94 (0.89, 4.19) 0.089 *statistically significant

#### Association of unemployment and alcohol consumption

Bivariate analysis in Table 4 showed significant association between employment status and alcohol drinking (p value=0.002). While more than half (75.97%) of those who were unemployed consumed only 1-2 drinks per week on an average, 7.27% consumed >13 drinks per week on an average. Overall, out of 7.77% participants who reported heavy drinking (>13 drinks per week), more than half were employed.

 Alcohol consumption (# of drinks per week) P value 1-2 drinks 3-5 drinks 6-8 drinks 9-12 drinks >13 drinks Age 0.45 Gender 0.0001* Male 31.12% 5.43% 3.31% 2.56% 6.31% Female 38.4% 5.25% 3.1% 2.07% 2.44% Race and Ethnicity 0.0042* Non-Hispanic White 41.1% 7.89% 4.74% 3.93% 6.86% Non-Hispanic Black 8.4% 1.09% 0.48% 0.31% 0.37% Non-Hispanic Asian 12.87% 0.98% 0.84% 0.46% 1.2% Hispanic 4.02% 0.59% 0.31% 0.0% 0.16% Others 2.52% 0.31% 0.18% 0.0% 0.37% Education 0.0003* Less than High school 6.04% 0.23% 0.27% 0.22% 0.67% High school graduate 14.9% 1.72% 1.23% 0.38% 2.79% Some college 29.14% 4.11% 2.36% 1.56% 3.01% College or more 19.22% 4.67% 2.61% 2.48% 2.38% Household income 0.0039* Less than $20,000 11.07% 1.02% 0.72% 0.29% 0.08%$20,000 to $35,000 8.54% 0.68% 0.49% 0.31% 1.26%$35,000 to $50,000 8.66% 0.99% 0.62% 0.65% 1.09%$50,000 to $75,000 13.6% 2.0% 1.16% 0.54% 1.29%$75,000 or more 27.16% 5.91% 3.52% 2.91% 4.72% Occupation 0.0002* Employed 39.1% 7.5% 4.36% 3.35% 6.03% Unemployed 30.41% 3.07% 2.06% 1.25% 2.87% *statistically significant

After adjusting for covariates, the logistic regression analysis in Table 5 showed a highly significant association of unemployment and alcohol consumption (p=0.016). In addition, psychological distress was included in the final model. The unemployed respondents had 0.48-0.92 times the odds of consuming alcohol compared to the ones who were employed. Being a non-Hispanic Black (OR=0.53; 95% CI 0.32, 0.88) and women (OR=0.62; 95% CI 0.44, 0.89) had lower odds of alcohol consumption compared to non-Hispanic White and men. People with an annual household income of over 75,000$were at 1.01-2.96 times the odds of alcohol consumption compared to the ones with a household income of less than 20,000$ (p=0.044).

 Alcohol consumption (number of drinks per week) Variables AOR (%CI) P value Occupation Employed Reference Unemployed 0.66 (0.48, 0.90) 0.009* PHQ-4 score None (0-2) Reference Mild (3-5) 1.09 (0.74, 1.58) 0.664 Moderate (6-8) 0.80 (0.42, 1.53) 0.500 Severe (9-12) 1.85 (1.04, 3.31) 0.038* Gender Male Reference Female 0.61 (0.44, 0.83) 0.003* Race/Ethnicity Non-Hispanic White Reference Non-Hispanic Black 0.47 (0.31, 0.73) 0.001* Non-Hispanic Asian 0.47 (0.31, 0.70) 0.000* Hispanic 0.36 (0.17, 0.75) 0.007* Others 0.47 (0.18, 1.28) 0.138 Household income Less than $20,000 Reference$20,000 to < $35,000 1.38 (0.73, 2.60) 0.307$35,000 to < $50,000 1.37 (0.74, 2.40) 0.323$50,000 to < $75,000 1.11 (0.65, 1.87) 0.703$75,000 or more 1.70 (1.00, 2.85) 0.048* *statistically significant

### Discussion

Unemployment has been a major concern in the United States since 2020. The rate of unemployment was drastically influenced by the COVID-19 pandemic, and therefore the level of psychological distress. Using PHQ-4, the symptoms of anxiety and depression were measured. Results showed that levels of psychological distress were higher in those who were unemployed. Table 3 shows that unemployed individuals had higher odds of having psychological distress compared to those who were employed. Alcohol consumption, measured as the number of drinks per week, was shown to be higher in employed participants compared to the unemployed ones. This is contrary to other published studies in the literature that show association of unemployment with higher alcohol consumption. We cannot ascertain if the results of this study were influenced by the ongoing COVID-19 pandemic. However, several studies also showed alcohol consumption to be higher in those with higher education and higher annual income [18].

Several studies have published an association between employment status and psychological stress, or alcohol consumption. Paul and Moser [19] conducted a meta-analysis and reported an average of 34% of cases of psychological disorders among the unemployed compared to 16% in the employed individuals. In addition, the reported mental health outcomes due to unemployment were found to be more pronounced in countries with poor economic development [19]. Another study by Frasquilho et al. [20] conducted a questionnaire-based survey on 748 unemployed people to detect the association between economic and non-economic factors and psychological distress. The results showed the participant's mean distress was 46.5% higher than the national mean of Portugal. Several other studies have shown consistent results in various parts of the world [21-23]. According to a randomized household survey conducted in Montreal in 2009, employment status under 45-year-old is inversely related to the distress and depression, using coping strategies like social support and alcohol usage [24]. In a study conducted using a sample taken from Panel Study of Income Dynamics [25], they estimated the association between estimated income tax credit (EITC) and income and other outcomes of interest like smoking, alcohol intake, physiological distress, and overall health. They found that people with high income are associated with less physiological distress, more alcohol consumption, more cigarette smoking.

Anxiety, depression, and alcohol consumption are interlinked. Many individuals consume alcohol to reduce anxiety, and often, long-term alcohol abuse can lead to anxiety development [26]. Similarly, people with depression are more likely to abuse alcohol to suppress their symptoms and use drinking as a way to escape reality [27]. Therefore, it is critical to reach out to a primary care or mental health provider to reduce the worsening of these outcomes and their subsequent effect on daily life. SAMHSA provides various resources to address alcohol and mental health disorders including anxiety and depression. Campaigns like “National Prevention week” which takes place in May, encourages community involvement, shares resources, and aims to increase public awareness on substance abuse including alcohol use [28]. There are several other organizations such as Centerstone, that distribute educational resources including alcohol-related statistics from published research, fact sheets, and videos that cover the effects of heavy drinking and how to recognize drinking problems [29].

#### Study limitations

There are several limitations to this study. First, the HINTS dataset did not ask questions on alcohol consumption in the past 12 months. Because of the lack of baseline data on alcohol consumption, a change over time could not be assessed. Moreover, since this dataset is a cross-sectional survey design, it is not possible to infer causal relationship between the variables. Second, a two-way relationship between alcohol use or psychological distress and unemployment could not be established due to the study design. Such associations are best established using prospective study designs. Lastly, the survey data used for this study was conducted in 2020. There was no efficient measure to adjust the confounding effect of the ongoing COVID-19 pandemic on the outcome variables.

### Conclusions

Unemployment is associated with outcomes like psychological distress and alcohol consumption. However, being employed was found to be more strongly associated with alcohol drinking. We do not know if the COVID-19 pandemic was a risk factor for the given outcomes. Federal aid through the Coronavirus Aid, Relief, and Economic Security (CARES) Act 2020 provided compensation to workers who became unemployed due to the COVID-19 pandemic. In addition, mutual-support groups like the alcoholics anonymous (AA) program or pharmacological and psychotherapy treatment for those experiencing anxiety or depressive symptoms are effective options to seek. Psychotherapy focuses on thoughts, feelings, and issues that are happening in an individual's life. It teaches them skills to help cope with their life, change behaviors that are causing problems, and find solutions.

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###### Ethics Statement and Conflict of Interest Disclosures

Human subjects: Consent was obtained or waived by all participants in this study. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

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