Impact of long COVID-19 on posttraumatic stress disorder as modified by health literacy: an observational study in Vietnam

Article information

Osong Public Health Res Perspect. 2024;15(1):33-44
Publication date (electronic) : 2024 February 19
doi : https://doi.org/10.24171/j.phrp.2023.0261
1International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
2Department of Psychiatry, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
3Institute of Oncology and Nuclear Medicine, Military Hospital, Ho Chi Minh, Vietnam
4School of Nutrition and Health Sciences, Taipei Medical University, Taipei, Taiwan
5Department of Orthopedics, Can Tho University of Medicine and Pharmacy, Can Tho, Vietnam
6Director Office, Can Tho University of Medicine and Pharmacy Hospital, Can Tho, Vietnam
7Department of Infectious Diseases, Vietnam Military Medical University, Hanoi, Vietnam
8Department of Military Science, Vietnam Military Medical University, Hanoi, Vietnam
9Department of Psychiatry, Military Hospital 103, Hanoi, Vietnam
10Faculty of Public Health, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam
11Infectious and Tropical Diseases Department, Viet Tiep Hospital, Hai Phong, Vietnam
12Department of Pulmonary and Cardiovascular Diseases, Hai Phong University of Medicine and Pharmacy Hospital, Hai Phong, Vietnam
13Director Office, Thai Nguyen National Hospital, Thai Nguyen, Vietnam
14Training and Direction of Healthcare Activity Center, Thai Nguyen National Hospital, Thai Nguyen, Vietnam
15Biochemistry Department, Thai Nguyen National Hospital, Thai Nguyen, Vietnam
16President Office, Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen, Vietnam
17Department of Quality Control, Thai Nguyen National Hospital, Thai Nguyen, Vietnam
18Director Office, Gang Thep Hospital, Thai Nguyen, Vietnam
19Director Office, Hospital for Tropical Diseases, Hai Duong, Vietnam
20Infectious and Tropical Diseases Department, Viet Tiep Hospital, Hai Phong, Vietnam
21Department of Infectious Diseases, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam
22Director Office, Kien An Hospital, Hai Phong, Vietnam
23Training and Direction of Healthcare Activity Center, Kien An Hospital, Hai Phong, Vietnam
24School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan
25President Office, Da Nang University of Medical Technology and Pharmacy, Da Nang, Vietnam
26Faculty of Medical Laboratory Science, Da Nang University of Medical Technology and Pharmacy, Da Nang, Vietnam
27Institute for Community Health Research, University of Medicine and Pharmacy, Hue University, Hue, Vietnam
28Faculty of Public Health, Pham Ngoc Thach University of Medicine, Ho Chi Minh, Vietnam
29Department of Health Promotion, Faculty of Social and Behavioral Sciences, Hanoi University of Public Health, Hanoi, Vietnam
Corresponding author: Tuyen Van Duong School of Nutrition and Health Sciences, Taipei Medical University, No. 250, Wuxing Street, Taipei 110-31, Taiwan E-mail: tvduong@tmu.edu.tw
Received 2023 September 15; Revised 2024 January 4; Accepted 2024 January 12.

Abstract

Objectives

The prevalence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a “social vaccine” that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association.

Methods

A cross-sectional study was conducted at 18 hospitals and health centers in Vietnam from December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (using the 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions.

Results

Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD. Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.63–2.12; p<0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p=0.001). Compared to those without long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96–0.99; p=0.001).

Conclusion

Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.

Graphical abstract

Introduction

Traumatic events occur throughout our lives, and most will fade over time [1]. However, in some instances, individuals may experience persistent flashbacks, nightmares, avoidance of trauma-related stimuli, changes in emotion and cognition, and disruptions in daily functioning following a traumatic event. When these symptoms persist for at least 1 month, the individual may be diagnosed with posttraumatic stress disorder (PTSD) [2]. The etiology of PTSD remains elusive, with theories suggesting a combination of biological factors (such as genetics and neurobiology), psychological determinants, and socio-environmental influences as contributing to the development of PTSD [2,3]. PTSD can also lead to a range of other mental health issues, including depression, anxiety, suicidal thoughts or behaviors, substance abuse, and eating disorders [46], and physical health problems, such as cardiovascular or metabolic diseases [79]. In severe cases, PTSD can last for decades if untreated [10,11].

The coronavirus disease 2019 (COVID-19) pandemic continues to have severe consequences on human life [12,13]. While most patients with COVID-19 recover fully, some individuals experience persistent symptoms after the acute phase of the infection, known as long COVID-19. Long COVID-19 is an umbrella term for symptoms that continue for at least 4 weeks following the initial onset of COVID-19 [14,15] and can last for years [16]. Globally, 43% of individuals who have had COVID-19 report experiencing some degree of long COVID-19 symptoms [17]. Previous studies have reported an increased prevalence of symptoms such as anxiety, depression, cognitive impairment, memory loss, sleep disturbances, and PTSD in those affected by COVID-19 [18,19]. PTSD is prevalent in COVID-19 patients (15.45%), in the general population (17.24%), and even more so in healthcare workers (30.98%) [20]. The prevalence of PTSD is also high in survivors of previous pandemics; for instance, 43% of individuals who survived the Middle East respiratory syndrome exhibited clinical PTSD after 1 year, and 26% of severe acute respiratory syndrome survivors met the full criteria for a PTSD diagnosis after 30 months [21,22].

The COVID-19 pandemic has both direct and indirect effects on PTSD [23] and exacerbates other mental disorders [24]. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters human cells and causes systemic inflammation, immune dysfunction, invasion, and brain damage, which may contribute to the development of PTSD [25]. Additionally, a variety of measures were implemented during the pandemic to prevent viral spread. Adherence to these measures varied according to factors such as age, educational background, trust in social institutions, and perceptions of social actors [26,27]. These interventions significantly altered daily life and have been associated with deteriorating mental health [28]. Although the pandemic does not conform to existing models or diagnostic criteria for PTSD, it is nonetheless considered a traumatic stressor [24]. Moreover, individuals may be affected by COVID-19 either through susceptibility to infection or the traumatic experience of witnessing the sudden death of a loved one, both of which can lead to significant stress with potential traumatic implications [29]. COVID-19 survivors have more severe PTSD symptoms than healthy people [30]. Furthermore, PTSD has been termed the “second tsunami” of the pandemic due to its chronic symptoms, impairment of social functioning, and increased risk of suicide [31]. In addition, PTSD causes unfavorable COVID-19 outcomes [32]. Therefore, assessing and monitoring PTSD symptoms in COVID-19 patients is crucial for mitigating the severe effects of long COVID-19 and enhancing mental well-being.

Promoting health literacy is a global public health goal in contemporary healthcare [33]. Health literacy is defined as the capacity to access, comprehend, appraise, and apply information pertaining to health and disease [34,35]. The COVID-19 pandemic led to an “infodemic” of misinformation and rumors from unreliable sources, which caused fear and panic in the community [36]. The importance of health literacy has become increasingly recognized and emphasized for both communities and individuals when dealing with emergencies such as the COVID-19 pandemic [37]. Health literacy can enhance people's understanding of COVID-19 symptoms, foster adherence to measures aimed at curbing the virus's spread (including hygiene practices, physical distancing, and behavioral changes), and support the uptake of COVID-19 vaccines [38,39]. Moreover, numerous studies have shown that individuals with adequate health literacy are less likely to suffer from mental health issues during the COVID-19 pandemic, such as depression, anxiety, and sleep disturbances [4042]. However, research on the impact of health literacy on PTSD, particularly among patients with long COVID-19, remains limited.

We aimed to investigate the association between long COVID-19 and PTSD and examine the modifying role of health literacy on this association in people who had recovered from COVID-19 infection for at least 4 weeks. We hypothesized that health literacy could modify the negative impact of long COVID-19 on PTSD.

Materials and Methods

Study Design and Setting

We conducted a cross-sectional study through an online survey at 18 health centers and hospitals in various regions of Vietnam, spanning from December 2021 to October 2022. Data collection took place at hospitals, field hospitals, and Centers for Disease Control and Prevention (CDC) sites, encompassing 9 health facilities in the north (including 3 settings in Thai Nguyen Province, 1 hospital in Hai Duong Province, 4 settings in Hai Phong City, and 1 hospital in Hanoi City), 3 facilities in the central region (located in Quang Tri Province, Thua Thien Hue Province, and CDC Da Nang), and 6 facilities in the south (in Ho Chi Minh City and Can Tho City).

Investigators at each facility trained research assistants (undergraduate and postgraduate students, nurses, and doctors) on how to administer the survey questionnaires. These research assistants then reached out to patients who had recovered from COVID-19, using the contact lists provided by their respective health facilities, to invite them to participate in the survey. Upon agreeing, participants were sent a survey link that included an online consent form and the questionnaire via SMS. It took participants approximately 30 minutes to complete the survey.

Participants

Out of the 11,626 individuals who had recovered from COVID-19 and were invited from 18 facilities to participate in the study, 5,977 patients agreed and provided their consent. A total of 4,466 eligible patients were aged 18 to 85 years, were able to read and understand Vietnamese, and had recovered from COVID-19 infection for at least 4 weeks. Those with missing data related to health literacy and PTSD measures were excluded from the survey (n=3). Consequently, a final sample of 4,463 eligible participants was analyzed in this study.

Variables

Outcome variable

The impact of event scale-revised (IES-R) was utilized to evaluate symptoms of PTSD following unexpected exposure to traumatic stress over the past 7 days [43]. This questionnaire consists of 22 self-reported items, corresponding to the Diagnostic and Statistical Manual of Mental Disorders–4th Edition (DSM-IV) symptoms of PTSD with 3 subscales: intrusion, avoidance, and hyperarousal. The scale was validated among Vietnamese during the pandemic [44]. Each item was scored from 0 (not at all) to 1 (a little bit), 2 (moderately), 3 (quite a bit), and 4 (extremely). The total IES-R score ranged from 0 to 88, with a higher score representing more severe PTSD symptoms. The IES-R score was also classified into 4 levels, from normal (0–23) to mild or clinical concern PTSD (24–32), a moderately probable diagnosis of PTSD (33–36), and severe PTSD (≥37) [43]. The IES-R demonstrated a strong diagnostic capability for traumatic stress reactions, with an overall diagnostic accuracy of 0.88 at a cut-off score of 33, a sensitivity of 0.9, and a specificity of 0.82 [43]. Therefore, for the purposes of this study, we classified an IES-R score below 33 as indicating no PTSD, and a score of 33 or higher as indicative of PTSD symptoms.

Independent variables

In this study, the independent variables included sociodemographic characteristics (age, sex, marital status, educational attainment, healthcare workers, the ability to pay for medications, social status, family members with COVID-19 infection), clinical parameters (body mass index [BMI], number of COVID-19 infections, long COVID-19 symptoms, comorbidities), health-related behaviors (balanced meals, physical activity), and health literacy. Health literacy was evaluated as a potential effect modifier.

Sociodemographic characteristics and clinical parameters

Participants provided information on their age, sex (male or female), marital status (never married or ever married), level of education (high school or below versus college or above), status as healthcare workers (no or yes), ability to pay for medication (very or fairly difficult vs. fairly or very easy), social status (low, middle, or high), weight (kg), height (m), number of family members infected with COVID-19 (1 person vs. ≥2 people), number of COVID-19 infections (first time or more), and presence of comorbidities (0 vs. 1 or more). We calculated BMI using participants' weight and height (kg/m2). BMI was categorized into 3 groups: underweight (less than 18.5 kg/m2), normal weight (18.5 kg/m2 to less than 23 kg/m2), and overweight (23 kg/m2 or greater).

Health-related behaviors

Health-related behaviors included whether meals were balanced (no vs. yes) and the physical activity of participants. The International Physical Activity Questionnaire–Short Form (IPAQ) is a widely used tool for assessing physical activity in adults [45,46]. We evaluated the participants' physical activity over the previous 7 days across 4 intensity levels: vigorous, moderate, walking, and sitting. We also recorded the number of days and minutes participants engaged in each activity. Metabolic equivalent of task (MET) values, expressed in minutes per week, were utilized to quantify overall physical activity [47]. Craig et al. [45] introduced the formula for the calculation of MET min/wk by multiplying the time spent on vigorous, moderate, walking, and setting activities by 8.0, 4.0, 3.0, and 1.0, respectively. The IPAQ has been validated in Vietnam [48].

Long COVID-19 assessment

According to the guidance from the National Institute for Health and Care Excellence, “long COVID-19” is defined as a condition characterized by signs and symptoms that persist for at least 4 weeks after the onset of a COVID-19 infection, with no other explanation [49]. People were classified as having or not having long COVID-19 symptoms based on whether they had any of the following symptoms: fever, cough, shortness of breath, altered sense of smell/taste, muscle soreness, fatigue/tiredness, sputum, chest pain, headache, sore throat, dizziness, confusion, …, diarrhea, nausea/vomiting [50].

Health literacy

To evaluate participants’ health literacy, we utilized the 12-item Short-Form Health Literacy Questionnaire (HLS-SF12) [51]. This questionnaire has been validated and used in Vietnam [51]. Participants responded to the questions on a 4-point Likert scale from 1 (very difficult) to 2 (fairly difficult), 3 (fairly easy), and 4 (very easy). The health literacy score was standardized to a uniform number from 0 to 50 and presented as an index according to the formula:

Index=(mean−1)×(50/3)

The mean is the average value of the evaluation items, 1 is the lowest mean, 3 is the mean range, and 50 is the maximum selected value. Higher health literacy index scores indicate higher health literacy [52].

Study sample size

The α level was 0.05, the power was 0.95, the estimated prevalence of PTSD in COVID-19 patients is 22.9% [53], and the prevalence of PTSD before the COVID-19 pandemic was 5.6% [54]. With these values, we used G*Power 3.1.9.7 (http://www.gpower.hhu.de/) to calculate the sample size for logistic regression [55]. Therefore, the required sample for analysis was 285 participants. In our study, the sample collected was 4,463 participants which was satisfactory for the statistical models.

Data Analysis

Categoral variables were expressed as frequency and percentage, while continuous variables were presented as mean and standard deviation. The chi-square and Mann-Whitney U tests were conducted to compare categorical and continuous variables. Simple and multiple logistic regression analyses were performed to identify potential factors associated with PTSD in individuals who had contracted COVID-19. For the multiple regression model, we included independent variables that had a p-value of less than 0.2 in the simple regression analysis [56]. We also conducted an interaction analysis to examine the potential modifying effect of health literacy on the relationship between long COVID-19 symptoms and PTSD, after adjusting for sociodemographic factors, other clinical parameters, and health-related behaviors. A p-value of less than 0.05 was considered statistically significant. All statistical analyses were carried out using IBM SPSS ver. 20.0 (IBM Corp.) [57].

Ethics Statement

The study was reviewed and approved by the Institutional Ethical Review Committee of Hanoi School of Public Health in Vietnam (No: 400/2021/YTCC-HD3 and 45/2022/YTCC-HD3). Patients were informed about the study’s purpose and provided consent to complete the survey questionnaire. The survey was conducted anonymously.

Results

Participants’ Characteristics

Among the participants, 2,213 individuals (49.6%) exhibited symptoms of PTSD, as indicated by an IES-R score of 33 or higher. Of the 4,463 participants, 72.5% were aged between 18 and 39 years, 55.7% were female, 72.3% had a college education or higher, 82.5% were from a middle social status, and 28% worked in healthcare. Clinically, 97.6% had experienced their first COVID-19 infection, 55.9% reported at least 1 long COVID-19 symptoms, and 28.1% had at least 1 comorbid disease. The average health literacy score was 31.23±8.54. Comparative analysis revealed that the prevalence of PTSD symptoms varied significantly across several demographics and clinical parameters. These included age, educational attainment, ability to pay for medication, social status, having a family member with a COVID-19 infection, presence of long COVID-19 symptoms, comorbidities, balanced diet, and physical activity (p<0.001 for all), as well as sex (p=0.008). Additionally, there was a significant difference in the mean health literacy scores between participants with PTSD symptoms and those without (p<0.001) (Table 1). However, the prevalence of PTSD did not significantly differ between healthcare workers and non-healthcare workers (p=0.392) (Table 1).

Sociodemographics, clinical parameters, health behaviors, health literacy, and PTSD of participants

Factors Associated with PTSD

Multiple logistic regression showed that respondents who were middle-aged (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.69–0.97; p=0.019), had a college degree or higher educational attainment (OR, 0.84; 95% CI, 0.72–0.99; p=0.033), had a fairly or very easy ability to pay for medications (OR, 0.77; 95% CI, 0.67–0.88; p<0.001), had high social status (OR, 0.59; 95% CI, 0.41–0.85; p=0.004), had balanced meals (OR, 0.58; 95% CI, 0.5–0.66; p<0.001), and more physical activities (OR, 0.53; 95% CI, 0.47–0.63; p<0.001 for tertile 2 or OR, 0.58; 95% CI, 0.48–0.69; p<0.001 for tertile 3) had significantly lower odds of PTSD than their counterparts (Table 2). Individuals with a higher health literacy score had a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p=0.001). Those with 1 or more long COVID-19 symptoms had a higher likelihood of PTSD (OR, 1.86; 95% CI, 1.63–2.12; p<0.001) than those without long COVID-19. Additionally, having at least 2 family members with COVID-19 infection was associated with a higher likelihood of PTSD (OR, 1.24; 95% CI, 1.06–1.45; p=0.008) (Table 2).

Factors associated with PTSD

Interaction between Long COVID-19 Symptoms and Health Literacy on PTSD

In comparison to individuals without long COVID-19 symptoms and the lowest health literacy scores, those with long COVID-19 and higher health literacy (1-score increment) had a lower likelihood of PTSD (adjusted OR, 0.973; 95% CI, 0.958–0.988; p=0.001) (Table 3).

Interaction effect of health literacy and long COVID-19 symptoms on PTSD

Discussion

The principal finding of this study was that health literacy moderated the adverse effects of long COVID-19 symptoms on PTSD. Among the 4,463 participants deemed eligible, 49.6% exhibited symptoms of PTSD, and 55.9% had experienced at least 1 long COVID-19 symptoms. Individuals between the ages of 40 and 59 who had at least a college degree, reported ease in affording medications, had a high social status, consumed balanced meals, participated in regular physical activity, and exhibited higher levels of health literacy were less likely to have PTSD.

In our study, the prevalence of PTSD symptoms among individuals with COVID-19 is 49.6%, a figure significantly higher than the 15.4% reported among frontline healthcare workers in Taiwan [58]. Although frontline healthcare workers are also susceptible to PTSD during the COVID-19 pandemic, Lu et al. included both participants with confirmed COVID-19 cases and those without, and utilized a different instrument for assessing PTSD, namely the IES-6. These differences in study design and methodology likely account for the higher prevalence of PTSD observed in our study.

When compared to young adults, middle-aged individuals were found to have a significantly lower likelihood of experiencing PTSD. In line with previous research, older adults also showed a lower prevalence of PTSD than their younger counterparts [20,59,60]. Notably, it was predominantly middle-aged people who exhibited the lowest PTSD scores [60]. Factors contributing to the increased risk of PTSD among young people included feelings of isolation, fear of death, uncertainty about the future, and concerns regarding the long-term effects of COVID-19 on health [24,61]. Furthermore, middle-aged individuals demonstrated better adherence to COVID-19 preventive guidelines than young adults [62]. Na et al. suggested that older adults possess greater resilience and more effective stress-coping mechanisms [63]. However, older adults tend to experience more severe COVID-19 symptoms, complicated long COVID-19 symptoms, and higher mortality rates, which exacerbate comorbidities related to COVID-19 [64]. The increased burden on physical health among older adults pose a heightened risk for mental health problems. These findings suggest that variations in the study populations may contribute to the observed differences in PTSD risk across age groups.

Individuals with a college degree or higher are less likely to experience PTSD compared to those with only a high school diploma or less. Higher education is linked to stable socioeconomic status, better coping mechanisms, improved problem-solving skills, and a more optimistic outlook, as well as a healthier lifestyle [65,66]. The financial and socio-political uncertainties resulting from the COVID-19 pandemic have been found to exacerbate PTSD symptoms [67]. Moreover, a diet rich in nutrients and regular physical activity contribute to maintaining good mental health and managing mental disorders [68]. We found that individuals who regularly consumed balanced meals and engage in physical activity were at a reduced risk of developing PTSD. When the body is under stress, increased corticosteroids and insulin can stimulate appetite, and a balanced, nutritious diet can help alleviate stress [69]. In contrast, diets high in calories, saturated fat, and sodium are more likely to be associated with negative moods [70]. Furthermore, physical activity has been shown to reduce inflammatory activity [71], lower the risk of cardiovascular disease [72], and enhance mood [73].

Our findings also showed that people who had family members with COVID-19 and those with long COVID-19 symptoms had an increased potential for PTSD. Individuals with family members with COVID-19 in the intensive care unit had a higher prevalence of PTSD symptoms [74]. The presence of COVID-19 within a household increases the risk of infection for other members, which in turn heightens anxiety over contracting the disease and concerns for the health of loved ones. Those who contract COVID-19 often experience stigma and discrimination from their communities, resulting in lower social support and more psychological distress than healthy individuals [75]. The impact of COVID-19 extends beyond the physical and mental health of the individual; it also places long-term burdens on their family members' daily lives [76]. After recovering from COVID-19, some patients face the possibility of reinfection with SARS-CoV-2 or suffer from long COVID-19 symptoms. Those with long COVID-19 symptoms are burdened with worries about the future, fears of reinfection, concerns about their ability to return to work, and in some cases, suicidal thoughts [77]. We found that individuals with long COVID-19 symptoms had a higher likelihood of PTSD.

In our study, patients with comorbidities had a nonsignificantly higher likelihood of PTSD. However, robust evidence indicates that patients who have comorbidities and contract COVID-19 are more likely to develop severe symptoms or complicated sequelae of COVID-19 [78]. The prevalence of mental disorders was found to be high among cancer patients during the COVID-19 pandemic [79], and the COVID-19 pandemic has exerted a negative impact on the mental health of patients with chronic diseases [80]. Furthermore, the healthcare system has focused on the treatment of COVID-19, leading to inadequate treatment, insufficient support, and increased psychological distress for cancer patients [81]. Further research is warranted concerning PTSD and mental health among individuals with cancer or chronic diseases after COVID-19 infection.

This study found that individuals with higher health literacy were less likely to develop PTSD. Studies on the relationship between health literacy and mental problems during COVID-19 have also yielded consistent results. Alatawi et al. [82] reported a negative association between PTSD symptoms and a higher level of health literacy. Higher levels of health literacy could mitigate fear, depression, and anxiety, while concurrently enhancing overall quality of life [83]. Additionally, people with long COVID-19 symptoms who had higher health literacy exhibited a lower likelihood of PTSD. Health literacy is not only essential during the COVID-19 pandemic, but it will also be critical and urgent in post-COVID health crises [84,85]. People with a high level of health literacy will be more aware of their COVID-19 status, better understand COVID-19 symptoms, more accurately identify behaviors to prevent infection, and more readily accept COVID-19 vaccination [39,86]. The COVID-19 pandemic highlights the importance of developing health literacy for personal and community self-protection [84,87]. People with long COVID-19 symptoms who have higher health literacy will apply healthy behaviors and appropriate coping mechanisms to stress and adjust to life.

The study has several limitations. First, it was unable to determine the cause-and-effect relationship between long COVID-19 and PTSD. Second, the data were collected through an online survey using convenience sampling, which, while appropriate for the COVID-19 context in Vietnam, may result in sampling bias. Third, we could not assess the likelihood of PTSD among healthcare and non-healthcare workers due to insufficient information regarding the types of hospitals where healthcare workers were employed during the COVID-19 outbreak. Additionally, participants subjectively evaluated their meals' nutritional balance, which calls for further research to investigate the link between nutrition and PTSD. Fifth, the use of the IES-R for PTSD assessment, without a clinical interview, could lead to an overestimation of PTSD prevalence. Finally, we were unable to evaluate the direct impact of severe COVID-19 infection on PTSD. Despite these limitations, the study's findings indicate that individuals who have recovered from COVID-19 infection for at least 4 weeks may benefit from early interventions if they exhibit PTSD symptoms, potentially alleviating these symptoms and improving their overall quality of life.

Conclusion

Individuals with a higher health literacy score had a lower likelihood of PTSD. Notably, health literacy played a modifying role by reducing the adverse effects of long COVID-19 symptoms on PTSD. Consequently, promoting health literacy in the general population, particularly among those infected with COVID-19, may help alleviate the psychological impact of the COVID-19 pandemic and attenuate its long-term consequences.

HIGHLIGHTS

• A high prevalence of posttraumatic stress disorder (PTSD) was found among people with long coronavirus disease 2019 (COVID-19).

• A higher health literacy score was associated with a lower likelihood of PTSD.

• People with long COVID-19 symptoms and a higher health literacy score were less likely to have PTSD.

Notes

Ethics Approval

The study was approved by the Institutional Ethical Review Committee of Hanoi School of Public Health in Vietnam (No: 400/2021/YTCC-HD3 and 45/2022/YTCC-HD3) and performed in accordance with the principles of the Declaration of Helsinki. Patients were informed about the study’s purpose and provided consent to complete the survey questionnaire. The survey was conducted anonymously.

Conflicts of Interest

The authors have no conflicts of interest to declare.

Funding

This study was supported by Thai Nguyen National Hospital, Military Hospital 103, Can Tho University of Medicine and Pharmacy, and Taipei Medical University (TMU108-AE1-B37).

Availability of Data

The datasets are not publicly available but are available from the corresponding author upon reasonable request.

Authors’ Contributions

Conceptualization: all authors; Data curation: HTV, TTMP, TTPN, TVD; Formal analysis: HTV, TVD; Funding acquisition: TVD; Investigation: all authors; Methodology: all authors; Project administration: TTPN and TVD; Resources: all authors; Software: TTPN, TVD; Supervision: TVD; Validation: all authors; Visualization: TVD; Writing–original draft: HTV, TVD; Writing–review & editing: all authors. All authors read and approved the final manuscript.

Additional Contributions

The authors express their gratitude towards the doctors, nurses, and medical students who assisted in data collection. We also extend our thanks to the board of directors and medical staff in the 18 hospitals and health centers for providing the list of COVID-19 patients and facilitating data collection. The authors acknowledge and appreciate the COVID-19 patients who willingly participated in the survey and provided complete information without any commercial interest. The hospitals and health centers supported us in collecting data, including Thai Nguyen National Hospital, Gang Thep Hospital, Thai Nguyen Tuberculosis, and Lung Disease Hospital (Thai Nguyen Province), Hospital for Tropical Disease (Hai Duong Province), Kien Thuy District Health Center, Viet Tiep Friendship Hospital, Kien An Hospital, Hai Phong University of Medicine and Pharmacy Hospital (Hai Phong City), Military Hospital 103 (Hanoi City), Trieu Phong District Health Center in Quang Tri Province, Thua Thien Hue Centralized Isolation Facility (T2F0, T3F0), CDC Da Nang, (Thu Duc City Health Center, Military Hospital 175 (Ho Chi Minh City), Field Hospital No.1, Field Hospital No.2, Binh Thuy Field Hospital, Tuberculosis and Lung Disease Can Tho Hospital (Can Tho City).

References

1. Benjet C, Bromet E, Karam EG, et al. The epidemiology of traumatic event exposure worldwide: results from the World Mental Health Survey Consortium. Psychol Med 2016;46:327–43.
2. American Psychiatric Association (APA). Diagnostic and statistical manual of mental disorders-4th edition: DSM-IV APA; 2013.
3. Auxemery Y. Posttraumatic stress disorder (PTSD) as a consequence of the interaction between an individual genetic susceptibility, a traumatogenic event and a social context. Encephale 2012;38:373–80.
4. Robinson LD, Deane FP. Substance use disorder and anxiety, depression, eating disorder, PTSD, and phobia comorbidities among individuals attending residential substance use treatment settings. J Dual Diagn 2022;18:165–76.
5. Calabrese JR, Prescott M, Tamburrino M, et al. PTSD comorbidity and suicidal ideation associated with PTSD within the Ohio Army National Guard. J Clin Psychiatry 2011;72:1072–8.
6. Boffa JW, Stanley IH, Hom MA, et al. PTSD symptoms and suicidal thoughts and behaviors among firefighters. J Psychiatr Res 2017;84:277–83.
7. Edmondson D, von Kanel R. Post-traumatic stress disorder and cardiovascular disease. Lancet Psychiatry 2017;4:320–9.
8. Levine AB, Levine LM, Levine TB. Posttraumatic stress disorder and cardiometabolic disease. Cardiology 2014;127:1–19.
9. Yehuda R, Hoge CW, McFarlane AC, et al. Post-traumatic stress disorder. Nat Rev Dis Primers 2015;1:15057.
10. Priebe S, Matanov A, Jankovic Gavrilovic J, et al. Consequences of untreated posttraumatic stress disorder following war in former Yugoslavia: morbidity, subjective quality of life, and care costs. Croat Med J 2009;50:465–75.
11. Marmar CR, Schlenger W, Henn-Haase C, et al. Course of posttraumatic stress disorder 40 years after the Vietnam War: findings from the National Vietnam Veterans Longitudinal Study. JAMA Psychiatry 2015;72:875–81.
12. Onyeaka H, Anumudu CK, Al-Sharify ZT, et al. COVID-19 pandemic: a review of the global lockdown and its far-reaching effects. Sci Prog 2021;104:368504211019854.
13. Sarkodie SA, Owusu PA. Global assessment of environment, health and economic impact of the novel coronavirus (COVID-19). Environ Dev Sustain 2021;23:5005–15.
14. National Institute for Health and Care Excellence (NICE). COVID-19 rapid guideline: managing the long-term effects of COVID-19 (NICE guideline 188) [Internet]. NICE; 2021;[cited 2022 Jan 24]. Available from: https://www.nice.org.uk/guidance/ng188.
15. Munblit D, O’Hara ME, Akrami A, et al. Long COVID: aiming for a consensus. Lancet Respir Med 2022;10:632–4.
16. Demko ZO, Yu T, Mullapudi SK, Varela Heslin MG, et al. Post-acute sequelae of SARS-CoV-2 (PASC) impact quality of life at 6, 12 and 18 months post-infection [Preprint]. Posted 2022 Aug 9. medRxiv 2022.08.08.22278543. https://doi.org/10.1101/2022.08.08.22278543.
17. Chen C, Haupert SR, Zimmermann L, et al. Global prevalence of post-coronavirus disease 2019 (COVID-19) condition or long COVID: a meta-analysis and systematic review. J Infect Dis 2022;226:1593–607.
18. Taquet M, Luciano S, Geddes JR, et al. Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA. Lancet Psychiatry 2021;8:130–40.
19. Xu E, Xie Y, Al-Aly Z. Long-term neurologic outcomes of COVID-19. Nat Med 2022;28:2406–15.
20. Yunitri N, Chu H, Kang XL, et al. Global prevalence and associated risk factors of posttraumatic stress disorder during COVID-19 pandemic: a meta-analysis. Int J Nurs Stud 2022;126:104136.
21. Park HY, Park WB, Lee SH, et al. Posttraumatic stress disorder and depression of survivors 12 months after the outbreak of Middle East respiratory syndrome in South Korea. BMC Public Health 2020;20:605.
22. Mak IW, Chu CM, Pan PC, et al. Long-term psychiatric morbidities among SARS survivors. Gen Hosp Psychiatry 2009;31:318–26.
23. Kira IA, Shuwiekh HA, Ashby JS, et al. The impact of COVID-19 traumatic stressors on mental health: is COVID-19 a new trauma type. Int J Ment Health Addict 2023;21:51–70.
24. Bridgland VM, Moeck EK, Green DM, et al. Why the COVID-19 pandemic is a traumatic stressor. PLoS One 2021;16e0240146.
25. Steardo L Jr, Steardo L, Verkhratsky A. Psychiatric face of COVID-19. Transl Psychiatry 2020;10:261.
26. Kar B, Kar N, Panda MC. Social trust and COVID-appropriate behavior: learning from the pandemic. Asian J Soc Health Behav 2023;6:93–104.
27. Liu E, Arledge S. Individual characteristics and demographics associated with mask wearing during the COVID-19 pandemic in the United States. Asian J Soc Health Behav 2022;5:3–9.
28. Aknin LB, Andretti B, Goldszmidt R, et al. Policy stringency and mental health during the COVID-19 pandemic: a longitudinal analysis of data from 15 countries. Lancet Public Health 2022;7:e417–26.
29. Breen LJ, Lee SA, Neimeyer RA. Psychological risk factors of functional impairment after COVID-19 deaths. J Pain Symptom Manage 2021;61:e1–4.
30. Yuan Y, Liu ZH, Zhao YJ, et al. Prevalence of post-traumatic stress symptoms and its associations with quality of life, demographic and clinical characteristics in COVID-19 survivors during the post-COVID-19 era. Front Psychiatry 2021;12:665507.
31. Dutheil F, Mondillon L, Navel V. PTSD as the second tsunami of the SARS-Cov-2 pandemic. Psychol Med 2021;51:1773–4.
32. Huang C, Huang L, Wang Y, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet 2021;397:220–32.
33. Ratzan SC. Health literacy: communication for the public good. Health Promot Int 2001;16:207–14.
34. Sørensen K, Van den Broucke S, Fullam J, et al. Health literacy and public health: a systematic review and integration of definitions and models. BMC Public Health 2012;12:80.
35. Liu C, Wang D, Liu C, et al. What is the meaning of health literacy?: a systematic review and qualitative synthesis. Fam Med Community Health 2020;8e000351.
36. Zarocostas J. How to fight an infodemic. Lancet 2020;395:676.
37. Paakkari L, Okan O. COVID-19: health literacy is an underestimated problem. Lancet Public Health 2020;5:e249–50.
38. Feinberg I, Scott JY, Holland DP, et al. The relationship between health literacy and COVID-19 vaccination prevalence during a rapidly evolving pandemic and infodemic. Vaccines (Basel) 2022;10:1989.
39. Hange N, Agoli AM, Pormento MK, et al. Impact of COVID-19 response on public health literacy and communication. Health Promot Perspect 2022;12:1–9.
40. Hermans L, Van den Broucke S, Gisle L, et al. Mental health, compliance with measures and health prospects during the COVID-19 epidemic: the role of health literacy. BMC Public Health 2021;21:1365.
41. Duplaga M, Grysztar M. The association between future anxiety, health literacy and the perception of the COVID-19 pandemic: a cross-sectional study. Healthcare (Basel) 2021;9:43.
42. Haruyama Y, Miyagi E, Kobashi G, et al. Impact of health literacy on anxiety and depressive symptoms in pregnant women in Japan during the COVID-19 pandemic. Sci Rep 2022;12:14042.
43. Creamer M, Bell R, Failla S. Psychometric properties of the impact of event scale: revised. Behav Res Ther 2003;41:1489–96.
44. Ngoc Cong Duong K, Nguyen Le Bao T, Thi Lan Nguyen P, et al. Psychological impacts of COVID-19 during the first nationwide lockdown in Vietnam: web-based, cross-sectional survey study. JMIR Form Res 2020;4e24776.
45. Craig CL, Marshall AL, Sjostrom M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35:1381–95.
46. van Poppel MN, Chinapaw MJ, Mokkink LB, et al. Physical activity questionnaires for adults: a systematic review of measurement properties. Sports Med 2010;40:565–600.
47. Lee PH, Macfarlane DJ, Lam TH, et al. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act 2011;8:115.
48. Tran DV, Lee AH, Au TB, et al. Reliability and validity of the International Physical Activity Questionnaire-Short Form for older adults in Vietnam. Health Promot J Austr 2013;24:126–31.
49. Venkatesan P. NICE guideline on long COVID. Lancet Respir Med 2021;9:129.
50. Centers for Disease Control and Prevention (CDC). Long COVID or post-COVID conditions [Internet]. CDC; 2023. [cited 2023 Jul 20]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html.
51. Duong TV, Aringazina A, Kayupova G, et al. Development and validation of a New Short-Form Health Literacy Instrument (HLS-SF12) for the general public in six Asian countries. Health Lit Res Pract 2019;3:e91–102.
52. Health Literacy Europe. HLS-EU consortium comparative report of Health Literacy in eight EU member states. The European Health Literacy project 2009-2012 [Internet]. Health Literacy Europe; 2012;[cited 2022 Oct 22]. Available from: https://www.healthliteracyeurope.net/hls-eu.
53. Nguyen HB, Nguyen THM, Vo THN, et al. Post-traumatic stress disorder, anxiety, depression and related factors among COVID-19 patients during the fourth wave of the pandemic in Vietnam. Int Health 2023;15:365–75.
54. Koenen KC, Ratanatharathorn A, Ng L, et al. Posttraumatic stress disorder in the World Mental Health Surveys. Psychol Med 2017;47:2260–74.
55. Faul F, Erdfelder E, Lang AG, et al. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 2007;39:175–91.
56. Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol 1993;138:923–36.
57. International Business Machines (IBM) Corporation. IBM SPSS Statistics 20 brief guide IBM Press; 2011.
58. Lu MY, Ahorsu DK, Kukreti S, et al. The prevalence of post-traumatic stress disorder symptoms, sleep problems, and psychological distress among COVID-19 frontline healthcare workers in Taiwan. Front Psychiatry 2021;12:705657.
59. Calegaro VC, Ramos-Lima LF, Hoffmann MS, et al. Closed doors: predictors of stress, anxiety, depression, and PTSD during the onset of COVID-19 pandemic in Brazil. J Affect Disord 2022;310:441–51.
60. Mao J, Wang C, Teng C, et al. Prevalence and associated factors of PTSD symptoms after the COVID-19 epidemic outbreak in an online survey in China: the age and gender differences matter. Neuropsychiatr Dis Treat 2022;18:761–71.
61. Shanahan L, Steinhoff A, Bechtiger L, et al. Emotional distress in young adults during the COVID-19 pandemic: evidence of risk and resilience from a longitudinal cohort study. Psychol Med 2022;52:824–33.
62. Shushtari ZJ, Salimi Y, Ahmadi S, et al. Social determinants of adherence to COVID-19 preventive guidelines: a comprehensive review. Osong Public Health Res Perspect 2021;12:346–60.
63. Na L, Yang L, Mezo PG, et al. Age disparities in mental health during the COVID19 pandemic: the roles of resilience and coping. Soc Sci Med 2022;305:115031.
64. Mansell V, Hall Dykgraaf S, Kidd M, et al. Long COVID and older people. Lancet Healthy Longev 2022;3:e849–54.
65. Zajacova A, Lawrence EM. The relationship between education and health: reducing disparities through a contextual approach. Annu Rev Public Health 2018;39:273–89.
66. Braveman P, Gottlieb L. The social determinants of health: it’s time to consider the causes of the causes. Public Health Rep 2014;129(Suppl 2):19–31.
67. El Khoury-Malhame M, Sfeir M, Hallit S, et al. Factors associated with posttraumatic growth: gratitude, PTSD and distress; one year into the COVID-19 pandemic in Lebanon. Curr Psychol 2023;:1–10.
68. Dalle Grave R. Nutrition and fitness: mental health. Nutrients 2020;12:1804.
69. Dallman MF, Pecoraro NC, la Fleur SE. Chronic stress and comfort foods: self-medication and abdominal obesity. Brain Behav Immun 2005;19:275–80.
70. Hendy HM. Which comes first in food-mood relationships, foods or moods? Appetite 2012;58:771–5.
71. Nimmo MA, Leggate M, Viana JL, et al. The effect of physical activity on mediators of inflammation. Diabetes Obes Metab 2013;15 Suppl 3:51–60.
72. Ahmed HM, Blaha MJ, Nasir K, et al. Effects of physical activity on cardiovascular disease. Am J Cardiol 2012;109:288–95.
73. Peluso MA, Guerra de Andrade LH. Physical activity and mental health: the association between exercise and mood. Clinics (Sao Paulo) 2005;60:61–70.
74. Amass T, Van Scoy LJ, Hua M, et al. Stress-related disorders of family members of patients admitted to the intensive care unit with COVID-19. JAMA Intern Med 2022;182:624–33.
75. Sangma RD, Kumar P, Nerli LM, et al. Social stigma and discrimination in coronavirus disease-2019 survivors and its changing trend: a longitudinal study at tertiary care center Gujarat, India. Asian J Soc Health Behav 2022;5:68–74.
76. Heesakkers H, van der Hoeven JG, Corsten S, et al. Mental health symptoms in family members of COVID-19 ICU survivors 3 and 12 months after ICU admission: a multicentre prospective cohort study. Intensive Care Med 2022;48:322–31.
77. Samper-Pardo M, Olivan-Blazquez B, Magallon-Botaya R, et al. The emotional well-being of long COVID patients in relation to their symptoms, social support and stigmatization in social and health services: a qualitative study. BMC Psychiatry 2023;23:68.
78. Sanyaolu A, Okorie C, Marinkovic A, et al. Comorbidity and its impact on patients with COVID-19. SN Compr Clin Med 2020;2:1069–76.
79. Zhang L, Liu X, Tong F, et al. The prevalence of psychological disorders among cancer patients during the COVID-19 pandemic: a meta-analysis. Psychooncology 2022;31:1972–87.
80. Gruiskens JR, van Hoef L, Theunissen M, et al. The psychosocial impact of the COVID-19 pandemic on chronic care patients. J Am Med Dir Assoc 2023;24:426–33.
81. Atashi V, Mohammadi S, Salehi Z, et al. Challenges related to health care for Iranian women with breast cancer during the COVID-19 pandemic: a qualitative study. Asian J Soc Health Behav 2023;6:72–8.
82. Alatawi Y, Alshehri FS, Alhifany AA, et al. Health literacy, perceived threat, and posttraumatic stress disorder during the COVID-19 pandemic in Saudi Arabia. Risk Manag Healthc Policy 2020;13:3147–53.
83. Tran HT, Nguyen MH, Pham TT, et al. Predictors of eHealth literacy and its associations with preventive behaviors, fear of COVID-19, anxiety, and depression among undergraduate nursing students: a cross-sectional survey. Int J Environ Res Public Health 2022;19:3766.
84. Okan O, Messer M, Levin-Zamir D, et al. Health literacy as a social vaccine in the COVID-19 pandemic. Health Promot Int 2023;38:daab197.
85. Grandieri A, Trevisan C, Gentili S, et al. Relationship between people's Interest in medication adherence, health literacy, and self-care: an infodemiological analysis in the pre- and post-COVID-19 era. J Pers Med 2023;13:1090.
86. Chen C, Xu T, Chen Y, et al. Does health literacy promote COVID-19 awareness?: evidence from Zhejiang, China. Front Public Health 2022;10:894050.
87. Abdel-Latif MM. The enigma of health literacy and COVID-19 pandemic. Public Health 2020;185:95–6.

Article information Continued

Table 1.

Sociodemographics, clinical parameters, health behaviors, health literacy, and PTSD of participants

Characteristic Total Non-PTSD (n=2,250, 50.4%) PTSD (n2,213, 49.6%) p
Age (y)a) <0.001b)
 18–39 3,234 (72.5) 1,657 (73.6) 1,577 (71.3)
 40–59 852 (19.1) 447 (19.9) 405 (18.3)
 60–85 377 (8.4) 146 (6.5) 231 (10.4)
Sex 0.008b)
 Male 1,977 (44.3) 1,041 (46.3) 936 (42.3)
 Female 2,486 (55.7) 1,209 (53.7) 1,277 (57.7)
Marital status 0.502b)
 Never married 1,852 (41.5) 945 (42.0) 907 (41.5)
 Ever married 2,611 (58.5) 1,305 (58.0) 1,306 (58.5)
Educational attainment <0.001b)
 High school or below 1,238 (27.7) 521 (23.2) 717 (32.4)
 College or above 3,225 (72.3) 1,729 (76.8) 1,496 (67.6)
Ability to pay for medications <0.001b)
 Very or fairly difficult 2,356 (52.8) 1,041 (46.3) 1,315 (59.4)
 Fairly or very easy 2,107 (47.2) 1,209 (53.7) 898 (40.6)
Social status <0.001b)
 Low 551 (12.3) 228 (10.1) 323 (14.6)
 Middle 3,683 (82.5) 1,861 (82.7) 1,822 (82.3)
 High 229 (5.2) 161 (7.2) 68 (3.1)
Healthcare workers 0.392b)
 No 3,215 (72.0) 1,608 (71.5) 1,607 (72.0)
 Yes 1,248 (28.0) 642 (28.5) 606 (28.0)
Family members infected with COVID-19 <0.001b)
 1 Person 938 (21.0) 536 (23.8) 402 (18.2)
 ≥2 People 3,525 (79.0) 1714 (76.2) 1,811 (81.8)
Body mass index 0.395b)
 Underweight 553 (12.4) 276 (12.3) 277 (12.5)
 Normal weight 3,490 (78.2) 1,749 (77.7) 1,741 (78.7)
 Overweight 420 (9.4) 188 (10.2) 195 (8.8)
No. of COVID-19 infections 0.054b)
 First time 4,354 (97.6) 2,205 (98) 2,149 (97.1)
 More than 1 time 109 (2.4) 45 (2.0) 64 (2.9)
Long COVID-19 symptoms <0.001b)
 No 1,968 (44.1) 1,187 (52.8) 781 (35.3)
 ≥1 2,495 (55.9) 1,063 (47.2) 1,432 (64.7)
Comorbidities <0.001b)
 None 3,207 (71.9) 1,699 (75.5) 1,508 (68.1)
 ≥1 1,256 (28.1) 551 (24.5) 705 (31.9)
Balanced mealsa) <0.001b)
 No 2,658 (60.6) 1,161 (53.2) 1,497 (67.6)
 Yes 1,727 (39.4) 1,022 (46.8) 705 (32)
Physical activity (MET min/wk)a) <0.001b)
 Tertile 1 (MET <417) 1,115 (25.0) 395 (17.6) 720 (32.6)
 Tertile 2 (417≤MET<2,208) 2,230 (50.0) 1,236 (54.9) 994 (44.9)
 Tertile 3 (MET≥2,208) 1,115 (25.0) 619 (27.5) 496 (22.4)
Health literacy index 31.23±8.54 32.76±8.62 29.67±8.18 <0.001c)

Data are presented as n (%) or mean±standard deviation.

PTSD, posttraumatic stress disorder; COVID-19, coronavirus disease 2019; MET min/wk, metabolic equivalents of task in minutes per week.

a)

Missing cases.

b)

Results of the chi-square test.

c)

Results of Mann-Whitney U test.

Table 2.

Factors associated with PTSD

Factor PTSD
Model 1
Model 2
OR (95% CI) p OR (95% CI) p
Age (y)
 18–39 Ref. Ref.
 40–59 0.952 (0.818–1.107) 0.523 0.815 (0.686–0.967) 0.019
 60–85 1.662 (1.336–2.068) <0.001 0.942 (0.718–1.234) 0.664
Sex
 Male Ref. Ref.
 Female 1.175 (1.044–1.322) 0.008 1.038 (0.910–1.184) 0.58
Marital status
 Never married Ref.
 Ever married 1.043 (0.926–1.175) 0.491
Educational attainment
 High school or below Ref. Ref.
 College or above 0.629 (0.551–0.718) <0.001 0.843 (0.721–0.987) 0.033
Ability to pay for medications
 Very/fairly difficult Ref. Ref.
 Fairly or very easy 0.588 (0.522–0.662) <0.001 0.765 (0.669–0.875) <0.001
Social status
 Low Ref. Ref.
 Middle 0.691 (0.576–0.829) <0.001 0.931 (0.765–1.132) 0.473
 High 0.298 (0.214–0.415) <0.001 0.590 (0.411–0.847) 0.004
Healthcare workers
 No Ref.
 Yes 0.945 (0.829–1.076) 0.392
Family members infected with COVID-19
 1 person Ref. Ref.
 ≥2 people 1.409 (1.218–1.629) <0.001 1.238 (1.058–1.449) 0.008
Body mass index
 Normal weight Ref. Ref.
 Underweight 1.008 (0.843–1.206) 0.929 0.953 (0.783–1.159) 0.628
 Overweight 0.871 (0.711–1.067) 0.181 0.949 (0.756–1.169) 0.579
No. of COVID-19 infections
 First time Reference Ref.
 More than 1 time 1.459 (0.992–2.147) 0.055 1.391 (0.920–2.105) 0.118
Long COVID-19 symptoms
 None Ref. Ref.
 ≥1 2.047 (1.816–2.309) <0.001 1.860 (1.633–2.120) <0.001
Comorbidities
 None Ref. Ref.
 ≥1 1.442 (1.264–1.644) <0.001 1.124 (0.970–1.304) 0.121
Balanced meals
 No Ref. Ref.
 Yes 0.535 (0.473–0.605) <0.001 0.575 (0.503–0.657) <0.001
Physical activity, MET (min/wk)
 Tertile 1 Ref. Ref.
 Tertile 2 0.441 (0.380–0.512) <0.001 0.534 (0.456–0.626) <0.001
 Tertile 3 0.440 (0.371–0.521) <0.001 0.575 (0.479–0.691) <0.001
Health literacy index 0.957 (0.950–0.964) <0.001 0.979 (0.970–0.987) 0.001

Model 1: simple logistic regression model; model 2: multiple logistic regression model.

PTSD, posttraumatic stress symptoms; OR, odds ratio; CI, confidence interval; ref., reference; COVID-19, coronavirus disease 2019; MET min/wk, metabolic equivalent of task in minutes per week.

Table 3.

Interaction effect of health literacy and long COVID-19 symptoms on PTSD

PTSD
Model 1
Model 2
OR (95% CI) p AOR (95% CI) p
Without long COVID-19 and lowest HL index Ref. Ref.
With long COVID-19 and lowest HL index 6.523 (3.984–10.681) <0.001 4.440 (2.641–7.464) <0.001
Without long COVID-19 and HL index, 1-score increment 0.982 (0.971–0.993) 0.001 0.992 (0.981–1.004) 0.198
With long COVID-19 and HL index, 1-score increment 0.961 (0.947–0.976) <0.001 0.973 (0.958–0.988) 0.001

Model 1: simple logistic regression model; model 2: multiple logistic regression model after adjusted for age, sex, educational attainment, ability to pay for medications, social status, the family member with COVID-19 infection, BMI, number of COVID-19 infections, comorbidity, balanced meals, and physical activity.

COVID-19, coronavirus disease 2019; PTSD, posttraumatic stress symptoms; OR, odds ratio; CI, confidence interval; AOR, adjusted odds ratio; HL, health literacy; ref., reference.