Skip to main content
Annals of Medicine logoLink to Annals of Medicine
. 2020 Dec 16;53(1):189–196. doi: 10.1080/07853890.2020.1853216

Psychological problems in general population during covid-19 pandemic in Pakistan: role of cognitive emotion regulation

Maryam Riaz 1, Mueen Abid 1,, Zaqia Bano 1
PMCID: PMC7877949  PMID: 33307858

Abstract

Objectives

To explore psychological problems (Anxiety, Depression and Stress) in general population during Covid-19 pandemic. To find predictive effects of cognitive emotion regulation on psychological problems.

Methodology

Convenient sampling technique was used to obtain the sample of 500 participants (Male = 239, Female = 261). Research instrument consists of four parts. First part comprised of consent form, second part was about demographic profile, third part was Depression, Anxiety and Stress scale (DASS-21) while Cognitive Emotion Regulation Questionnaire was the last part of the instrument.

Results

SPSS 23.0 (Statistical Package for Social Sciences) version was used for study analysis. Descriptive statistics used to summarize the raw data. The inferential statistics such as regression, correlation and t-test were used to calculate the findings according to research objectives. Results indicated that 33%, 40% and 27% individuals were experiencing Depression, Anxiety and Stress respectively during Covid-19 pandemic. Among these participants, 48% (N = 242) were experiencing normal level of all these targeted psychological problems while remaining 52% (N = 258) respondents have mild to very severe level of all these disorders. Furthermore, findings of linear regression analysis illustrated that cognitive emotion regulation significantly predicts psychological problems [R2=.216; F = 51.223, p < .01] and 21% variation in psychological problems is due to cognitive emotion regulation.

Conclusion

This study recommended that policy makers must develop and implement some necessary programmes to prevent and cure people from devastating psychological and mental health consequences of covid-19 on priority basis.

Keywords: Covid-19 pandemic, cognitive emotion regulation, regression

Introduction

Human civilization perhaps is facing one of the most critical juncture of this century which challenged its existence. In December 2019, Corona virus Disease (Covid-19), which is a new virus discovered with its outbreak in Wuhan, a main city of China and then spread all over the world rapidly. On 26 February 2020, first patient of Covid-19 appeared in Pakistan and after sometimes the situation became worse.

As this virus is new and World Health Organization [1], on 11 March 2020 has declared it a pandemic, there is a great need to explore various aspects and effects of this universal problem. In this regard, most of the research work focussed on identifying the epidemiology, medical description, genomic characterization, clinical characteristics, mode of transmission, incubation period, symptoms, contain the stretch of the virus, governance, economical issues and mainly on treatment of this new virus and disease [2–4]. It is quite reasonable that there is a great need to understand the new virus biologically and medically but at the same time the psychological and psychiatric requirements cannot be ignored or overlooked at any phase of pandemic control and management [5–7]. That is why enormous psychological researches have been conducted all over the world to uncover psychological impact of the novel disease on individuals. Santamaría et al. [8] indicated that health professionals who are front line soldiers were experiencing a significant level of depression, anxiety, stress and insomnia and the higher level was prevailing among female health workers than male. Hao et al. [9] indicated that psychiatric patients were at higher risk to develop mental health problems as compared to general population whereas, Xiong et al. [10] systematically reviewed that general population in China, Italy, Spain, Iran, United States, Nepal, Denmark and Turkey is also extremely experiencing Depression (14.6% to 48.3%), Anxiety (6.33% to 50.9%), Stress (8.1% to 81.9%), Psychological Distress (34.43% to 38%) and post-traumatic stress disorder (7% to 53.8%) during covid-19. Tee et al. [11] indicated that 17%, 29%, 13% respondent were experiencing depression, anxiety and stress respectively in Philippine during first month of pandemic. Furthermore, it has been indicated that at the initial stage of covid-19 alert, symptoms of depression, anxiety and stress were generally low but Stay-At-Home orders increased the severity level of problems. Younger respondents and people with chronic illnesses were at greater risk than other groups [12,13]. The scientometric analysis indicated that psychological research is one of the top 10 research fields during COVID-19 pandemic and most of the researches are mainly contributed by China, United states and European countries, so there is a great need to explore the phenomena in low or middle income states to better understand the situation [14]. Condition in Europe and Asia is different during pandemic as indicated by Wang et al. [15–17] that people in Poland were facing more level of depression, anxiety and stress than Chinese. To fill this gap of research, present study was planned to check psychological problems prevail in general population in Pakistan because identification of problems lead towards its solution. Under the umbrella of psychological problems, depression, anxiety and stress were targeted. Furthermore role of different demographic variables was also explored. There are few reasons to select this topic and population for study. Mainly, Pakistan is the fifth most populous country in the world with poor economical conditions. Basic family system is joint family in which generations are living together even in small houses. In this scenario importance of social distancing and being unemployed imposed a challenged to the mental health of the people along with their physical fitness. According to one study individuals are going through the fear of death, fear of being infected, depression, anxiety, anger and other mental health problems during outbreak of this pandemic [18].

It has been identified that there are few factors which play considerable function in the emergence, maintenance and even for the management of the psychiatric morbidity like coping styles and social support [19]. Sensory processing patterns (sensory/avoiding, low registration, sensation seeking) and history of moderate-severe childhood maltreatment also predicts mental health problems [20,21]. While experiencing traumatic situations, general population behave differently [22]. The individuals who failed to cope positively could develop psychological issues or mental health problems like post-traumatic stress disorder (PTSD), substance abuse, anxiety and mood disorders. Many researchers have identified that how cognitive regulation of emotions played significant role in emergence of many psychological problems among individuals [23–26]. The main model which explained the role of nervous system in controlling emotions is Cognitive emotion regulation strategies model. This model discusses how different cognitive processes play role to effectively handle emotional arousal [23,27]. There are nine theoretically identified strategies of cognitive emotion regulation: self-blame, rumination, other-blame, catastrophizing, positive refocusing, putting into perspective, positive reappraisal, planning and acceptance [28].

In this context, unpredictable and unexpected disaster like COVID-19 is the certain situation which can trigger intense emotional arousal and demand for emotional control and regulation is substantial [29]. Moreover, these disasters may elicit extreme amount of negative emotions like hopelessness, horror and fear. If extreme negative emotion arousal is not regulated effectively, it can produce long lasting psychiatric illnesses [30,31]. For this reason present study aimed to investigate the predictive effects of cognitive emotion regulation on development of targeted psychological problems at the time of covid-19 spread so that individuals who are suffering from psychological issues and deficient in positive cognitive regulation of emotions could be identified and undergo timely treatment and intervention. Recently, cognitive emotion regulation has become core process to manage psychosomatic illnesses and psychiatric disorders. Ho et al. [32] indicated that some mental health strategies such as psycho education, Cognitive Behaviour Therapy and mindfulness-based therapy play significant role to prevent and treat mental health problems during covid-19 pandemic. Cognitive Behaviour Therapy can change maladaptive coping styles such as avoidance, confrontation, aggression and self blame into adoptive coping.

Collectively, present study was conducted with two main objectives. Firstly, to identify how covid-19 pandemic develop Depression, Anxiety and Stress among general population and then how cognitive emotion regulation predicts these targeted psychological issues (Figure 1).

Figure 1.

Figure 1.

illustrated the hypothetical model of present research.

Objectives of the study

The study was conducted with four subsequent objectives such as to explore psychological problems (Depression, Anxiety and Stress) in general population, to find cognitive emotion regulation as a predictor of psychological problems in general population, to investigate cognitive emotion regulation as a predictor of sub domains of psychological problems (Depression, Anxiety and Stress) in general population and to identify the association of significant demographic variables with cognitive emotion regulation and targeted psychological problems.

Methodology

Participants and data collection

Sample was drawn with the help of convenient sampling technique because it was extremely difficult to use probability sampling method due to lockdown. A total of 500 respondents with different demographic characteristics participated in the research process.

Inclusion and exclusion criteria

People with age limit of 12 years and above living in district Gujrat were included while participants below 12 years of age and from other districts of Pakistan were excluded from the study. Furthermore, participants with prior history of psychiatric morbidity and chronic physical diseases such as cancer and heart diseases were also excluded from the research.

Participants were approached conveniently at their homes with Standard Operating Procedures (SOPs) related to covid-19. Researchers had to convinced people to participate in the study due to its significance at the time of covid-19 spread. The following research instruments were given to the participants after elaborating the objectives and nature of the study. Privacy and confidentiality ensured to the respondents. Their participation was voluntary and they could skip research process any time. At the end of the data collection participants were acknowledged for their valuable contribution in research process.

Research instruments

Consent form

Consent form contained information related to the researcher and research objectives. Willing participants signed the consent sheet and participated in research process.

Demographic sheet

Next part of study tool was about demographic profile like gender, age, level of education, current marital position, family structure, employment status, family income and residential area (Table 1).

Table 1.

Demographic profile of respondents (N = 500).

Variables N %
Age    
 12–19 119 24
 20–30 152 30
 31–45 126 25
 46–55 83 17
 56–Above 20 4
Gender    
 Male 239 48
 Female 261 52
Family system    
 Nuclear 136 27
 Joint 364 73
Education    
 Ill-Literate 73 15
 Primary 24 5
 Elementary 12 2
 Matriculation 81 16
 F.A/F.Sc 59 12
 B.A/B.Sc 62 12
 M.A/M.Sc 64 13
 BS(Honors) 104 21
 MPhil 15 3
 PhD 6 1
Employment status    
 Employed 289 57
 Unemployed 211 42
Marital status    
 Married 237 47
 Unmarried 172 34
 Separation 40 8
 Widow 36 7
 Divorced 15 3
Family Income    
 Less than 20000 79 16
 20000–40000 228 46
 41000–60000 106 21
 Above 60000 87 17
Residential area    
 Urban 228 46
 Rural 272 54

Depression, anxiety and stress scale (DASS-21)

Additionally, Depression, Anxiety and Stress scale (DASS-21), translated into Urdu language was used to assess psychological problems [33]. It is self report scale with three different categories: Depression, Stress and Anxiety and each category contain seven items. It is four point liker scale ranges from 0 to 3. Cut-off scores greater than 7, 9 and 14 for anxiety, depression and stress respectively, indicate existence of the problem. The DASS-21 demonstrated excellent reliability as the depression, anxiety and stress subscales had 0.81, 0.89 and 0.78 Cronbach’s alpha values respectively [34]. DASS-21 has been used by many researches during covid-19 [9,15–17,35–37].

Cognitive emotion regulation questionnaire

Last part of the research instrument was cognitive emotion regulation scale with Urdu translation [38]. This questionnaire is consists of 36 items, categorize into nine conceptually diverse subscales and each subscale comprises of 4 items. The scale is on 5-point Likert format. Research exhibits that subscales encompass excellent internal consistencies ranges from 0.68 to 0.86 [39].

Data analysis

Statistical Package for Social Sciences, version 23.0 was used for research analysis. Descriptive statistics helped to summarize the data while inferential statistics such as regression, correlation and t-test were used to calculate the findings according to research objectives. To be considered significant p value should be equal to or less than .05.

Results

Table 2 identifies the reliability analysis of variables used in the study. Both scales of the research have high reliability which confirmed that these tools are appropriate for this research. The cognitive emotion regulation questionnaire has reliability with alpha value of 0.762 while Depression, Anxiety and Stress scale has Cronbach Alpha value of 0.741.

Table 2.

Cronbach Alpha of Scales of the Study (N = 500).

  Total items Cronbach alpha
Cognitive Emotion Regulation Questionnaire 36 0.762
Depression, Anxiety and Stress Scale 21 0.741

Table 3 indicates the intercorrelation among cognitive emotion regulation and targeted psychological problems (Depression, Anxiety and Stress). Above correlation matrix illustrated that all study constructs are significantly correlated.

Table 3.

Intercorrelation between Cognitive Emotion Regulation and Sub domains of psychological problems.

  CER Depression Anxiety Stress  
CER 1        
Depression −0.472** 1      
Anxiety −0.138** 0.286** 1    
Stress −0.144** 0.380** 0.835** 1  

Note: ** p<.01; **p<.05.

Table 4 indicated that depression, anxiety and stress have the percentages of 33 (N = 163), 40 (N = 201) and 27 (N = 136) respectively. Under the umbrella of psychological problems, the score of anxiety is higher than other problems like depression and stress. So anxiety is most prevalent psychological problem followed by depression and stress during Covid-19 in general population. Furthermore, 16% (N = 81) participants have normal depression while 12% (N = 59) are experiencing mild to moderate level of it. In anxiety, 97(19%) respondents have normal level while mild and moderate category represented 09% (N = 44) participants. Findings further illustrated that number of respondents with severe and very severe anxiety level is also critical (N = 60, %=12). Moreover, 60 (12%) participants are going through mild and moderate level of stress while 02% (N = 12) experience severe and very severe stress.

Table 4.

Frequencies and percentages of sub domains of psychological problems with severity (N = 500).

Variables Categories F %
Depression score   163 33
  Normal 81 16
Mild and moderate 59 12
Severe and very severe 23 05
Anxiety Score   201 40
  Normal 97 19
Mild and moderate 44 09
Severe and very severe 60 12
Stress Score   136 27
  Normal 64 13
Mild and moderate 60 12
Severe and very severe 12 02

Linear regression analysis carried out to investigate predictive effects of cognitive emotion regulation on psychological problems. Findings indicated, cognitive emotion regulation as a significant predictor of psychological problems among general population [R2=0.216; F = 51.223, p<.01]. Additionally, Table 5 depicts that 21% variation in psychological problems is due to different strategies of cognitive emotion regulation.

Table 5.

Summary of Regression Analysis of cognitive emotion regulation as the predictor of psychological problems (N = 500).

Variables R R2 Adjusted R2 F p Value
CER
Psychological problems
0.452 0.216 0.212 51.223 .000

CER: Cognitive Emotion Regulation.

Table 6 illustrated that cognitive emotion regulation significantly predicted all domains of psychological problems. Findings of regression analysis indicated that cognitive emotion regulation can cause depression [R2=0.379, F = 119.731, p<.01] with 37.9% explained variance. Furthermore, cognitive emotion regulation significantly predicted anxiety in general population with 43.2% explained variance. Stress is also significantly predicted by cognitive emotion regulation [R2=0.307, F = 87.145, p<.01]. Findings demonstrated that 30.7% variance in stress score is because of cognitive emotion regulation.

Table 6.

Summary of Regression Analysis of cognitive emotion regulation as the predictor of sub domains (Depression, Anxiety and Stress) of psychological problems (N = 500).

Variables R R2 Adjusted R2 F p Value
CER
Depression
0.615 0.379 0.384 119.731 .000
CER
Anxiety
0.644 0.432 0.398 133.225 .000
CER
Stress
0.552 0.307 0.303 87.145 .000

Table 7 showed findings of correlation analysis among cognitive emotion regulation, psychological problems and education in general population. Findings illustrated that these variable have significant relationship. Education of participants correlated positively with cognitive emotion regulation and has negative correlation with psychological problems.

Table 7.

Bivariate Correlation between cognitive emotion regulation, psychological problems and education (N = 500).

  Variable Cognitive emotion regulation Psychological problems p Value
  Education 0.321** −0.725** .000

**Correlation is significant at the .01 level (2-tailed).

Table 8 indicated gender differences on Cognitive Emotion Regulation and psychological problems in participants. Both groups are significantly different on targeted variables. Mean score indicated that male participants score higher (M = 24.2, SD = 4.6) on cognitive emotion regulation than female (M = 17.3, SD = 3.6) while in psychological problems domain female participants have higher scores (M = 53.7, SD = 14.9) than their counterpart (M = 40.1, SD = 10.8).

Table 8.

Mean, standard deviation and t-value of male and female on cognitive emotion regulation and psychological problems (N = 500).

  Male
(N = 239)
Female
(N = 261)
    95 % CI
Measures M S.D M S.D t-value p Value Lower limit to upper limit
Cognitive emotion regulation 24.2 4.6 17.3 3.6 2.5 .01 −2.21 to .248
Psychological problems 40.1 10.8 53.7 14.9 2.37 .02 −8.87 to 2.09

**p<.05.

Discussion

Findings of present research are discussed below according to its objectives.

The first purpose of the research was to identify psychological problems in general population during covid-19. Findings revealed that 33% participants have depression, 40% are with anxiety and 27% have stress problem. Furthermore, 48% individuals (N = 242) were experiencing normal level of all these targeted psychological problems while remaining 52% (N = 258) respondents have mild to very severe level of all these disorders. These findings are in lined with different researches conducted during covid-19 and before. A study carried out in China at time of this pandemic spread demonstrated that people are suffering a lot during this pandemic. Additionally, in China, more than half of the study respondents had considerable mental health consequences of this traumatic outbreak [15–17]. Another research from Denmark also found psychological consequences of covid-19 on people and reported that this pandemic negatively effects psychological wellbeing and creates depression [40]. Moreover, a survey carried out by American Psychiatric Association in United States also indicated that nearly half of the participants have psychological problems like anxiety during covid-19 [41].

The second objective of this research was to explore cognitive emotion regulation as the predictor of psychological problems in general population. Results indicated that cognitive emotion regulation significantly predicts psychological issues in participants during traumatic situation like covid-19. Previous researches also confirmed this prediction. considerable researches have been conducted to investigate the predictive effects and relationship between different coping strategies such as cognitive emotion regulation and psychological problems like depression, drug abuse, anxiety, masochism, stress after accident, borderline personality disorder and eating disorder [23–27,42].

To find predictive effects of cognitive emotion regulation on sub domains of psychological problems like depression, stress and anxiety was third objective of research. Results of regression analysis demonstrated statistically significant predictive effects of cognitive emotion regulation on depression, stress and anxiety in general population at the time of covid-19 spread. Considerable amount of researches indicated that the cognitive emotion regulation strategies used by individuals influence depression development. Failure to adopt appropriate strategies during traumatic or difficult situations can lead to depressive disorders [24,42,43]. Furthermore, a research carried out by Ongen [25] in Turkey also indicated that different strategies of cognitive emotion regulation significantly predict depression among individuals. Similarly, earlier studies also found predictive effects of Cognitive Emotion Regulation on anxiety. The way individuals adopts particular cognitive emotion regulation strategy to effectively handle problematic situation also affects their level of anxiety [44]. Furthermore, several clinical studies have demonstrated that the ineffective or inappropriate cognitive regulation of emotions is a vital element in development, maintenance and management of psychological disorders like anxiety and depression [45–47]. Correspondingly, stress is also caused by inappropriate practice of cognitive emotion regulation as indicated by a study conducted in Iran by Oftadehal et al. [48] to find predictive relationship of stress and cognitive emotion regulation. This study suggested that different cognitive emotion regulation strategies strongly predict stress in participants. Another research carried out by Solgi and Yaseminejad [49] identified that some cognitive emotion regulation strategies like self-blame, low positive reappraisal and rumination have high potential to predict stress among people.

Last research objective was to investigate association among demographical variables, cognitive emotion regulation and psychological problems. Findings of research identified a significant positive correlation among level of education, cognitive emotion regulation and psychological problems. There are many researches which have found that higher level of education increase skills of people, improve cognition and afford better coping strategies and all of these things ultimately improve psychological health of individuals [50,51]. Furthermore, significant differences in gender were explored in present research among cognitive emotion regulation and psychological problems which are confirmed by several previous studies which suggested that such differences occurred due to the way both gender respond to negative events in life and try to manage their psychological problems [39,52,53].

Conclusion

Present study concluded that 72% participants are experiencing any of the targeted psychological issue during covid-19 and cognitive emotion regulation significantly predicts depression, anxiety and stress. These findings demonstrate the need of psychological planning, interventions and therapeutic programs such as workshops at community and educational institutions to create awareness, self management skills training to deal with traumatic situations effectively, counselling, cognitive behaviour therapy to change maladaptive cognitive and emotional dealing into positive ones and mindfulness based training to prevent and cure these mental health issues to create a fully functioning society before it is too late.

Disclosure statement

No potential conflict of interest was reported by the author(s).

References

  • 1.World Health Organization . 2020. Coronavirus disease 2019 (COVID‐19) situation report‐60[EB/OL]. Available from: https://www.who.int/emergencies/diseases/novelcoronavirus2019/situation-reports
  • 2.Chen N, Zhou M, Dong X, et al. . Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395:507–513. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Huang C, Wang Y, Li X, et al. . Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Mukhtar S. Mental health and psychosocial aspects of coronavirus outbreak in Pakistan: psychological intervention for public mental health crisis. Asian J Psychiatry. 2020;51:102069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Corman VM, Landt O, Kaiser M, et al. . Detection of 2019 novel coronavirus (2019-nCoV) by realtime RT-PCR. Eurosurveillance. 2020;25:1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lu R, Zhao X, Li J, et al. . Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet. 2020;395:565–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Taylor S. 2019. The psychology of pandemics: preparing for the next global outbreak of infectious disease. Newcastle upon Tyne: Cambridge Scholars Publishing. [Google Scholar]
  • 8.Santamaría MD, Ozamiz-Etxebarria N, Rodríguez IR, et al. . 2020. Impacto psicológico de la COVID-19 en una muestra de profesionales sanitarios espanoles. Revista de Psiquiatría y Salud Mental. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Hao F, Tan W, Jiang L, et al. . Do psychiatric patients experience more psychiatric symptoms during COVID-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry. Brain Behav Immun. 2020;87:100–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Xiong J, Lipsitz O, Nasri F, et al. . Impact of COVID-19 pandemic on mental health in the general population: a systematic review. J Affect Disord. 2020;277:55–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Tee ML, Tee CA, Anlacan JP, et al. . Psychological impact of COVID-19 pandemic in the Philippines. J Affect Disord. 2020;277:379–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ozamiz-Etxebarria N, Dosil-Santamaria M, Picaza-Gorrochategui M, et al. . Stress, anxiety, and depression levels in the initial stage of the COVID-19 outbreak in a population sample in the northern Spain. Niveles de estrés, ansiedad y depresión en la primera fase del brote del COVID-19 en una muestra recogida en el norte de España. Cad Saúde Pública. 2020a;36:e00054020. [DOI] [PubMed] [Google Scholar]
  • 13.Ozamiz-Etxebarria N, Idoiaga Mondragon N, Dosil Santamaría M, et al. . Psychological symptoms during the two stages of lockdown in response to the COVID-19 outbreak: an investigation in a sample of citizens in Northern Spain. Front Psychol. 2020b;11:1491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tran BX, Ha GH, Nguyen LH, et al. . Studies of novel coronavirus disease 19 (COVID-19) pandemic: a global analysis of literature. IJERPH. 2020;17:4095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wang C, Chudzicka-Czupała A, Grabowski D, et al. . The association between physical and mental health and face mask use during the COVID-19 pandemic: a comparison of two countries with different views and practices. Front Psychiatry. 2020a;11:901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Wang C, Pan R, Wan X, et al. . A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav Immun. 2020b;87:40–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wang C, Pan R, Wan X, et al. . Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. IJERPH. 2020c;17:1729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Rana W, Mukhtar S, Mukhtar S.. Mental health of medical workers in Pakistan during the pandemic COVID-19 outbreak. Asian J Psychiatry. 2020;51:102080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Huang J, Liu Q, Li J, et al. . Post-traumatic stress disorder status in a rescue group after the Wenchuan earthquake relief. Neural Regener Res. 2013;8:1898–1906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Engel-Yeger B, Muzio C, Rinosi G, et al. . Extreme sensory processing patterns and their relation with clinical conditions among individuals with major affective disorders. Psychiatry Res. 2016;236:112–118. [DOI] [PubMed] [Google Scholar]
  • 21.Pompili M, Innamorati M, Lamis DA, et al. . The associations among childhood maltreatment, “male depression” and suicide risk in psychiatric patients. Psychiatry Res. 2014;220:571–578. [DOI] [PubMed] [Google Scholar]
  • 22.Sliter M, Kale A, Yuan Z.. Is humor the best medicine? The buffering effect of coping humor on traumatic stressors in firefighters. J Organiz Behav. 2014;35:257–272. [Google Scholar]
  • 23.Chen H. A theoretic Review of emotion regulation. J Soc Sci. 2016;4:147–153. [Google Scholar]
  • 24.Garnefski N, Legerstee J, Kraaij V, et al. . Cognitive coping strategies and symptoms of depression and anxiety: a comparison between adolescents and adults. J Adolesc. 2002b;25:603–611. [DOI] [PubMed] [Google Scholar]
  • 25.Ongen DE. Cognitive emotion regulation in the prediction of depression and submissive behavior: gender and grade level differences in Turkish adolescents. Proc Soc Behav Sci. 2010;9:1516–1523. [Google Scholar]
  • 26.Omran MP. Relationships between cognitive emotion regulation strategies with depression and anxiety. J Psychiatry. 2011;1:106–109. [Google Scholar]
  • 27.Duarte AC, Matos AP, Marques C.. Cognitive emotion regulation strategies and depressive symptoms: gender’s moderating effect. Soc Behav Sci. 2015;165:275–283. [Google Scholar]
  • 28.Garnefski N, Kraaij V, Spinhoven P.. 2002a. CERQ: manual for the use of the Cognitive Emotion Regulation Questionnaire. Leiderdorp (The Netherlands): Datec. [Google Scholar]
  • 29.Mennin DS. Emotion and the acceptance-based approaches to the anxiety disorders. In: Orsillo SM, Roemer L, editors. Acceptance and mindfulness based approaches to anxiety: conceptualization and treatment. New York, NY: Springer; 2005. p. 37–58. [Google Scholar]
  • 30.Amstadter AB, Vernon LL.. A preliminary examination of thought suppression, emotion regulation, and coping in a trauma-exposed sample. J Aggress Maltreat Trauma. 2008;17:279–295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Tull MT, Barrett HM, McMillan ES, et al. . A preliminary investigation of the relationship between emotion regulation difficulties and posttraumatic stress symptoms. Behavior Therapy. 2007;38:303–313. [DOI] [PubMed] [Google Scholar]
  • 32.Ho CS, Chee CY, Ho RC.. Mental health strategies to combat the psychological impact of COVID-19 beyond paranoia and panic. Ann Acad Med Singap. 2020;49:155–160. [PubMed] [Google Scholar]
  • 33.Aslam N. 2007. Psychological disorders and resilience in earth quack effected individuals [unpublished dissertation]. Islamabad (Pakistan): National Institute of Psychology, Quid-i-Azam University. [Google Scholar]
  • 34.Coker AO, Coker OO, Sanni D.. Psychometric properties of the 21-item Depression Anxiety Stress Scale (DASS-21). Afr Res Rev. 2018;12:135–142. [Google Scholar]
  • 35.Chew NWS, Lee GKH, Tan BYQ, et al. . A multinational, multicentre study on the psychological outcomes and associated physical symptoms amongst healthcare workers during COVID-19 outbreak. Brain Behav Immun. 2020;88:559–565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Tan BYQ, Chew NWS, Lee GKH, et al. . Psychological impact of the COVID-19 pandemic on health care workers in Singapore. Ann Intern Med. 2020a;173:317–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Tan W, Hao F, McIntyre RS, et al. . Is returning to work during the COVID-19 pandemic stressful? A study on immediate mental health status and psychoneuroimmunity prevention measures of Chinese Workforce. Brain Behav Immun. 2020b;87:84–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Butt MM, Saman F, Gulzar S, et al. . Cognitive emotional regulation and forgiveness. IJCRB. 2013;4:769–792. [Google Scholar]
  • 39.Garnefski N, Teerds J, Kraaij V, et al. . Cognitive emotion regulation strategies and depressive symptoms: differences between males and females. Pers Individ Diff. 2004;36:267–276. [Google Scholar]
  • 40.Sonderskov KM, Dinesen PT, Santini ZI, et al. . The depressive state of Denmark during the COVID-19 pandemic. Acta Neuropsychiatr. 2020;32:226–228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.41. American Psychiatric Association . 2020. New Poll: COVID-19 impacting mental well-being: Americans feeling anxious, especially for loved ones; older adults are less anxious. [accessed 2020 May 7]. Available from: https://www.psychiatry.org/newsroom/news-releases/new-poll-covid-19-impacting-mental-well-beingamericans-feeling-anxious-especially-for-loved-ones-older-adults-are-less-anxious
  • 42.Martin RC, Dahlen ER.. Cognitive emotion regulation in the prediction of depression, anxiety, stress, and anger. Pers Individ Diff. 2005;39:1249–1260. [Google Scholar]
  • 43.Compas BE, Orosan PG, Grant KE.. Adolescent stress and coping: implications for psychopathology during adolescence. J Adolesc. 1993;16:331–349. [DOI] [PubMed] [Google Scholar]
  • 44.Campbell-Sills L, Barlow DH, Brown TA, et al. . Acceptability and suppression of negative emotion in anxiety and mood disorders. Emotion. 2006;6:587–595. [DOI] [PubMed] [Google Scholar]
  • 45.Barlow DH, Allen LB, Choate ML.. Toward a unified treatment for emotional disorders. Behav Ther. 2004;35:205–230. [DOI] [PubMed] [Google Scholar]
  • 46.Kashdan TB, Steger MF.. Expanding the topography of social anxiety. An experience-sampling assessment of positive emotions, positive events, and emotion suppression. Psychol Sci. 2006;17:120–128. [DOI] [PubMed] [Google Scholar]
  • 47.Mennin DS. Emotion regulation therapy: an integrative approach to treatment-resistant anxiety disorders. J Contemp Psychother. 2006;36:95–105. [Google Scholar]
  • 48.Oftadehal M, Kahriz MB, Nami TM.. Cognitive emotion regulation, depression and stress in iranian students. Neurosci Res Lett. 2012;3:44–47. [Google Scholar]
  • 49.Solgi Z, Yaseminejad P.. The role of cognitive emotion regulation strategies in depression, anxiety and stress of coronary heart disease patients. Researcher Bull Med Sci. 2018;23:e8. [Google Scholar]
  • 50.Lorant V, Deliege D, Eaton W, et al. . Socioeconomic inequalities in depression: a meta-analysis. Am J Epidemiol. 2003;157:98–112. [DOI] [PubMed] [Google Scholar]
  • 51.Stewart-Brown S, Samaraweera PC, Taggart F, et al. . Socioeconomic gradients and mental health: implications for public health. Br J Psychiatry. 2015;206:461–465. [DOI] [PubMed] [Google Scholar]
  • 52.Seiffge-Krenke I, Stemmler M.. Factors contributing to gender differences in depressive symptoms: a test of three developmental models. J Youth Adolesc. 2002;31:405–417. [Google Scholar]
  • 53.Nolen-Hoeksema S. Emotion regulation and psychopathology: the role of gender. Annu Rev Clin Psychol. 2012;8:161–187. [DOI] [PubMed] [Google Scholar]

Articles from Annals of Medicine are provided here courtesy of Taylor & Francis

RESOURCES