Even though the Covid-19 pandemic may not eventuate as the most damaging pandemic in terms of mortality,1 many challenges arise from the indirect effects on the global economy, societal and healthcare structures, technology, education, environment, culture,2–7 psychosocial adjustment, gender inequalities,8,9 mental health and quality of life.2,10–12 The Covid-19 pandemic fulfils all criteria for a major adverse life event, experienced by a large number of people, that can result in serious cultural, societal, and economical shifts and cause collective trauma.13,14
The psychosocial impact of the Covid-19 pandemic is significant, especially in populations with chronic health conditions.15–18 For over two years, people have been experiencing a disruption in healthcare access,17–20 social isolation,12,20–23 changes in daily routine including work, exercise and education,22–24 changes in family dynamics including gender-based violence8 and relationship dissatisfaction,25 increased levels of stress, anxiety, anger and depression,17,20,22 increased risk for post-traumatic stress disorder (PTSD)20 and increased pain catastrophizing.15,26,27 Patients with chronic pain have higher chances to report higher pain levels and poorer quality of life.19,22,24,25,28–30
The pandemic and the subsequent disruption of all aspects of everyday life have lasted much longer than anyone hoped or anticipated. The Oxford Coronavirus Government Response Tracker Project introduced the Covid-19 Stringency Index (SI) to report and keep track of the strictness of government policies adopted globally.31 SI has been linked with depression and distress.11,31–33 Higher government stringency has also been linked with higher trust in the government and a higher sense of protection and security,11,34 feelings which appear to be negatively associated with anxiety and mental well-being.35,36 Older populations and people suffering from chronic conditions adjust better to more stringent government responses in terms of health-related quality of life and mental well-being.11
From Spring 2020 to Spring 2021, Greece endured three consecutive, strict lockdowns. The healthcare system had to conform to the new regulation requirements to contain the infection spread. The functions, capacity and resources of the Greek healthcare system were heavily challenged.37,38 Patients suffering from non-Covid related conditions were denied easy access to the healthcare system and were forced to adjust to this new reality.38–42 This study aimed to evaluate the Covid-19 pandemic sequelae on Greek chronic pain patients’ pain experience and symptomatology, access to care, psychosocial and demographic profile across three pandemic waves. We wished to monitor the psychological and behavioral adaptation of patients and the Greek tertiary government healthcare system to the pandemic reality.
Material and MethodsThis design was conducted with the approval of the Committee of Bioethics and Deontology in the University Hospital “Attikon” (232/11-05-2020), following the Declaration of Helsinki. We opted for a two-wave time-lagged methodology design because (a) we wished to examine the possible effects of the pandemic not only on perceived pain levels but on the functioning of the Greek National Healthcare System and (b) we wished to control for within-person fluctuations over time. The time lag between the two measurements was 12 months, to allow enough time for mechanisms of change to unveil and to control external variables such as weather and temperature, seasons and holidays, patient and carer availability, and reachability.43,44
In total, two hundred and one adult Pain Clinic outpatients followed up within the National Health Care System, suffering from malignant and non-malignant pain for more than 3 months, completed the following self-reported questionnaires: (a) a two-part customized, structured questionnaire designed by the pain management team. The first part of the questionnaire includes a demographic assessment and a Numeric Rating Scale (NRS) from 0 (=no pain at all) to 10 (=worst pain imaginable) to measure pain intensity. The second part consists of 26 questions developed to assess patients’ perceptions on the impact of the Covid-19 pandemic and lockdown on pain experience, quality of life and access to treatment. Most items include three response options: (1) a lot, (2) moderately, and (3) not at all (Table 1). 19 (b) Depression, Anxiety and Stress Scale (DASS-42), a 42-item self-reported questionnaire with 4 response options varying from 0 (=did not apply to me at all – Never) to 3 (=applied to me very much, or most of the time – Almost always)45 (c) Ten Item Personality Index (TIPI), a brief 10-item self-reported questionnaire that measures the Big-Five personality dimensions. Each item starts with the sentence “I see myself as…”. Response options vary from 1(=disagree strongly) to 7(=agree strongly)46 and (e) Personal Wellbeing Index (PWI), an 8-item self-reported questionnaire that evaluates standard of living, health, religiousness, sense of achievement, safety, security, connectedness, and life satisfaction. Each item starts with the sentence “How satisfied are you with…?”. Response options vary from 0(=no satisfaction at all) to 10 (=completely satisfied).47 Exclusion criteria included a co-existing Axis I mental disorder and the inability to understand and communicate in Greek. All patients provided informed consent. Anonymity was maintained.
Table 1 The Changes in Patients’ Responses Concerning the Perceived Effect of the Pandemic and Relevant Restrictive Measures on Access to Healthcare, Pain and Quality of Life for Years 2020 and 2021
The first part of the study was conducted during the first wave of the Covid −19 pandemic in Greece, from March to May 2020. During that first austere lockdown, all Pain Clinics around the country were shut down indefinitely and catered only to emergencies. All outpatients that had a cancelled appointment or visited the Pain Clinic as an emergency during that time were contacted via phone or on-site, when possible, and 101 agreed to participate in the study (77.2% response rate). Recruitment ended once the lockdown was over. The second part of the study took place one year later, from March to July 2021. The recruitment in the second stage ended once we reached the same number of participants as in the first cohort. All outpatients having an appointment at the same Pain Clinic since March 2021 were contacted either on-site or via phone, and 100 agreed to participate in the study (70.9% response rate). Data were collected (a) via Google Forms, (b) via phone interviews by one of the Psychologists of the pain management team, and (c) with self-completed questionnaires on-site (Table 2).
Table 2 Comparison of Patients’ Demographic Characteristics and Data Collection Methodology Between 2020 and 2021
Differences between both groups (2020 and 2021) were tested by the t-test. Changes in the percentages of patients’ responses in the years 2020 and 2021 were assessed using the asymptotic z-test. Mann–Whitney test was used to identify possible changes in the questionnaires’ scores. The Kruskal–Wallis test was applied when scores were compared among three or more groups. Significant associations were followed by post hoc tests with Bonferroni correction. A difference was marked as statistically significant or not at a 0.05 level. Stata v14 was used for the statistical analysis (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP.)
ResultsThe demographic characteristics of the participants of the study are depicted in Table 2. Changes in the percentages of patients’ responses between the two cohorts is depicted in Table 1. Statistically significant changes were observed in the patients’ perceived effect of the pandemic and relevant restrictive measures on access to healthcare, perceived levels of pain, and quality of life between 2020 and 2021. There was a decrease in the participants’ mean age from 58.59 (16.16) to 54.28 (17.04), however, it was not statistically significant. Regarding the patients’ demographic profile, there were significant differences in marital status between the two cohorts (Table 2). Significant differences were also observed in data collection methodology (Table 2).
Pain Experience and New Pain SymptomsIn the total sample of 201 participants, 43.3% reported that their pain levels were affected by the pandemic “moderately” or “a lot” while 47.8% stated that their pain levels were affected by the lockdown “moderately” or “a lot”. In the question “To what extent did the pandemic affect your pain levels?” the percentage that responded “very much” increased from 11.9% in 2020 to 25% in 2021 (p-value=0.030), while the percentage that responded “not at all” decreased from 66.3% to 47% (p-value=0.069) (Table 1).
Regarding pain intensity, there were no significant differences in the patients’ NRS scores between 2020 and 2021. On the self-reported question “Do you think that the intensity and duration of your pain would have been different, if the pandemic hadn’t occurred?” the percentage of the participants who believed that they would have been better compared to their current experience of pain increased from 23.8% in 2020 to 41% in 2021 (p-value= 0.032). Similarly, the percentage of participants who responded that they would have been better if the lockdown had not been implemented increased from 25.7% in 2020 to 42% in 2021 (p-value= 0.048) and those who responded that they would have been worse were reduced from 7.9% to 1% (p-value=0.020). (Table 1).
Regarding the occurrence of new pain symptoms, 23.8% of the participants reported developing new pain symptoms during the pandemic in 2020 and the percentage increased to 44% in 2021 (p-value= 0.014). In the question “Did the pain you are currently seeking treatment for, exist before the pandemic?” the percentage that responded negatively increased from 7.9% to 18% within one year (p-value= 0.047).
Correlations of demographic characteristics and pain intensity revealed that NRS score was associated with having children (p=0.022) and with education level (p=0.025) in the first cohort, at the beginning of the pandemic. Specifically, the NRS score was significantly higher in the participants with elementary-level education compared to those with tertiary education (5.86 vs 3.50, p= 0.010). No associations were detected in 2021.
Access to HealthcareWhen asked whether the number of walk-in visits or phone calls to the Pain Clinic was affected, the percentage of participants who reported a decrease was reduced from 60.4% in 2020 to 36% in 2021 (p-value= 0.013). Similarly, there was a reduction from 45.5% to 25% (p-value<0.001) in the percentage of the participants who responded “two–three times” to the question “How many times did you visit the Pain Clinic during the previous year” (p-value=0.014), while the participants who responded ‘none’ increased from 5.9% to 36% (p-value< 0.001). Regarding the participants’ visits to other healthcare services, 69.7% reported that they reduced their visits to other healthcare services ‘moderately’ or ‘a lot’. When asked whether they have used the application of remote prescribing, 59% of the participants responded affirmatively in 2021, compared to 17.8% in 2020 (p-value< 0.001) (Table 1).
Quality of Life, Stress, Depression, Anxiety, and Association with Demographic CharacteristicsIn the question “To what extent did the pandemic affect your quality of life?”, there was a slight increase in the percentages of those who responded “a lot” and “moderately”, while the number of participants who responded “not at all” decreased significantly from 25.7% in 2020 to 10% in 2021 (p-value= 0.008). In the question “Since the Covid-19 pandemic, my trust in the government mechanisms…”, the number of participants who responded *…has ameliorated” decreased from 40.6% to 16% (p-value<0.001) while the number of participants who responded that it “…has deteriorated” increased from 13.9% to 40% within one year (p-value<0.001) (Table 1).
Significant differences were detected in the PWI Scale (p-value= 0.008). More specifically, the mean of personal safety decreased from 6.22 (2.43) in 2020 to 5.03 (2.92) in 2021 (p-value= 0.003). Sense of community-connectedness decreased from 6.93 (2.20) to 6.41 (2.01) (p-value=0.039). Regarding the level of future security, there was a significant decrease in the score from 5.23 (2.41) in 2020 to 4.12 (2.56) in 2021 (p-value= 0.003). Spirituality-religiousness also decreased from 7.67 (1.91) in 2020 to 6.87 (2.39) in 2021 (p-value= 0.020). Lastly, the general life satisfaction level decreased from 6.32 (2.39) to 5.39 (2.62) (p-value=0.006) (Table 3).
Table 3 Mean and Standard Deviation (SD) for TIPI, DASS-42, LOT-R and PWI Questionnaires for the First (2020) and the Second Year (2021) of the Pandemic
No significant differences were detected in personality items, levels of stress, anxiety, and depression. However, higher levels of anxiety (p=0.001) and depression (p=0.040), and lower overall scores in PWI (p=0.015) were found to be associated with increased analgesic intake or self-reported ineffectiveness of current treatment during 2021 (Table 4).
Table 4 Association Between Analgesic Intake and Psychological Evaluation Scores (TIPI, DASS-42 and PWI) During the Second Wave of the Pandemic (2021) via the Kruskal–Wallis Test (N=100)
During 2020, marital status was found to be associated with the TIPI subscale ”conscientiousness” (p=0.017) and personal well-being (p=0.007). No associations were detected in 2021 (Table 5). Having children was associated with higher levels of stress (p=0.022) in 2021, but not in 2020. Place of residence was associated with higher anxiety scores (p=0.048) in the 2021 sample (Table 6). Education level was associated with high levels of openness to experience (p<0.001), anxiety (p=0.012) and depression (p=0.025) in 2020, and with openness to experience (p<0.001), extraversion (p=0.004) and agreeableness (p=0.011) in 2021 (Table 7).
Table 5 Association Between Marital Status and Psychological Evaluation Scores (TIPI, DASS-42 and PWI) During the First and Second Wave of the Pandemic (2020 and 2021 Respectively) via the Kruskal–Wallis Test with Post Hoc Pairwise Comparisons
Table 6 Association Between Place of Residence and Psychological Evaluation Scores (TIPI, DASS-42 and PWI) During the First and Second Wave of the Pandemic (2020 and 2021 Respectively) via the Kruskal–Wallis Test with Post Hoc Pairwise Comparisons
Table 7 Association Between Education Level and Psychological Evaluation Scores (TIPI, DASS-42 and PWI) During the First and Second Wave of the Pandemic (2020 and 2021 Respectively) via the Kruskal–Wallis Test with Post Hoc Pairwise Comparisons
DiscussionThe aim of this study was to examine the impact of the pandemic on pain and pain management and the interaction among psychological, demographic and pain-related variables across time in chronic pain patients. The perceived effect of the pandemic and the Covid-related restrictions affected significantly access to healthcare, pain levels, quality of life, life satisfaction, sense of security, and spirituality. The care delivery system was also severely affected.
Younger patients are experiencing more pain symptoms, thus reaching the pain clinic services more often than before. Also, patients in the older age groups may have been slipping outside the healthcare system.
The Covid-19 pandemic and the subsequent lockdowns are linked to somatization including the development of new pains, chronicity of pain symptoms and fatigue, by exacerbating risk factors such as sleep disturbances, lack of employment and physical activity, anxiety, depression, low quality of life, fear, and sense of threat.48–51 Fear of infection, appointment delays and postponements, difficulty reaching healthcare services, social isolation, and poor socioeconomic and health status are a few of the variables that are linked with unmet healthcare needs among older adults during the pandemic.52–56 Furthermore, many patients that have been tested positive with Covid-19 experience post-viral musculoskeletal and neurological pain symptoms.57–59
Since all healthcare services resumed their functions in May 2020, it is not surprising that access to healthcare and pain clinic services increased from 2020 to 2021. It is noteworthy that recruitment in the second stage lasted two months longer. According to the outpatient logs, before the Pandemic the Pain Clinic would cater to 15(±5) patients per day. In the first cohort that had scheduled their appointments before the pandemic, nearly half of the outpatients would visit the Clinic 2–3 times per year for follow-up monitoring every 4–6 months. Almost one-third would visit more often, and only 5.9% of our sample consisted of new patients in 2020. Once the Pain Clinic re-opened after the first wave of the Pandemic, due to COVID-19 restrictions it catered to maximum 6 patients per day. Even though the frequency of interventional care remained the same, the frequency of follow-up visits decreased significantly. Our results echo what has been identified as the organizational impact of Covid-19, and it has been identified globally.60–62 One additional care-provision change was the wider adoption of the remote prescribing application (Table 1). Patients did not have to visit the Clinic for a prescription renewal. Although helpful, this is not always ideal.63 Many new symptoms or disease relapses may remain undetected and untreated.
The participants that attributed a worsening of their symptoms to the pandemic almost doubled. Higher self-reported pain levels after the pandemic outbreak seem to be a systematic finding across the pain literature. Higher self-perceived pain was linked with social isolation and movement restrictions.16,18,22,27,29 The NRS scores of the participants remained the same over time, a result which seems to agree with the hypothesis that chronic pain is a stable disorder, even though patients’ subjective experience of pain is significantly affected by external psychosocial stressors.29,64,65
Regarding the psychological impact of the pandemic, our results indicate stability on almost all psychopathological indices. Personality traits are considered to display relative stability in adulthood. However, there is ongoing research assessing the impact of critical life events on personality traits and how they evolve over time.66–69 We believe that the observed slight changes in personality traits reflect a collective attempt to cope and adapt (decreased extraversion, increased conscientiousness), and a collective accumulation of grievances and fatigue (decreased emotional stability and optimism, increased openness to experience).
Chronic pain patients scored within the “mild” spectrum in all three domains of the DASS-42 scale in 2020. Stress and anxiety increased in 2021, and anxiety increased from “mild” to “moderate”. However, depression decreased. The literature regarding stress, depression, and anxiety during the Covid pandemic is vast and disparate depending on sampling methods, targeted population, and the scope of each study. Higher stress levels are associated with pre-existing medical conditions, changes to healthcare access or fear of disruption of medical treatment, higher perceived levels of pain, and with the way public health measures are employed, communicated, and implemented.70–73 These stressors, all present in our sample, explain the consistently high stress levels. Anxiety during the Covid era, on the other hand, is becoming an umbrella term to include, among others, fear, health anxiety, and death anxiety. Older age, female gender, pre-existing chronic conditions, isolation, higher frequency and stringency of protective measures and demographic characteristics such as higher education, being married, and having children are predictors of high anxiety.74–78
Stress resilience, a psychological coping process that is taking place across populations during the pandemic waves, could explain why stress remained consistent.77 The lower depression levels of our sample could also be attributed to this ongoing coping process, as indicated by other studies that have used DASS-42 in patients with pre-existing conditions during the pandemic.78 Kleinmann and colleagues24 introduced the concept of protective stabilizing factors such as confidence in and satisfaction with the healthcare system. Stable or lower levels of depression and anxiety are also linked with positive coping strategies, personal control, and resilience.26,77–80
We observed a notable decline in overall well-being, especially in the indices concerning personal safety, future security, sense of connectedness, spirituality/religiousness, and overall satisfaction with life. There was also a significant shift in the participants’ marital status. The prolonged lockdown seems to have taken a toll on how frail populations connect and interact with each other.81,82 The pandemic and the forced co-existence has also taken a toll on relationships and marriage.8,9,25 Patients’ spiritual health has also declined. Spiritual health and care can be a source of comfort and strength.83,84 Positive religious coping is associated with better mental health outcomes.85 Higher religious and spiritual struggle during the pandemic was associated with higher psychological distress and worse self-reported pain perception.86
Perceived personal safety has been severely affected by the pandemic, especially in people suffering from chronic conditions. Sense of safety and stability during the pandemic is associated with maintaining continuity of care.19,87 The fact that personal safety declined even though the healthcare system had been fully functioning since May 2020, combined with the significant decrease in the score distribution of future security, leads us to believe that this is an ongoing, inner process that is still happening. The impact of the pandemic on patients’ personal safety and future security is dynamic and remains to be seen, as the effects of the pandemic are already spreading across the socioeconomic and political life of a country that emerged recently from a severe economic crisis.19,39,41,88–90
ConclusionThis is one of the few studies that evaluate the impact of the pandemic and the interaction of psychological, demographic, and pain-related variables across time. Its main limitations include the small number of participants, possible cohort effects, self-reported data, the fact that the sample comes from only one setting and the fact that only two cohorts were studied. Also, we only focused on self-reported levels and duration of pain and not on the type and etiology of pain, which could have provided more solid data regarding the observed increase of new pain patients.
Our results reveal a dramatic distrust of the participants in the governmental policies and the growing belief that participants would be experiencing less pain if the lockdown had not been implemented. Chronic pain patients seem to experience several conflicting inner processes, including relief, fear and uncertainty, resilience mechanisms and trust in the accessibility of healthcare, along with a growing fear for personal and future safety. At the same time, the organizational and structural shifts of the Greek National healthcare system are showing. Functioning, resources, sustainability, and accessibility have been disproportionate since the Covid-19 pandemic, a phenomenon that is expected to have an immense impact on patients in the future.89,91 More research is required, to evaluate and update organizational functions and policies. As patients are adapting, so is the healthcare delivery system and the societal and psychological impact of this shift remains to be seen.
DisclosureThe authors report no conflicts of interest in this work.
References1. Feehan J, Apostolopoulos V. Is COVID-19 the worst pandemic? Maturitas. 2021;149:56–58. doi:10.1016/j.maturitas.2021.02.001
2. Brodeur A, Gray D, Islam A, et al. A literature review of the economics of COVID-19. J Econ Surv. 2021;35:1007–1044. doi:10.1111/joes.12423
3. El-Tallawy SN, Nalamasu R, Pergolizzi JV, et al. Pain management during the COVID-19 pandemic. Pain Ther. 2020;9(2):453–466. doi:10.1007/s40122-020-00190-4
4. Haldane V, De Foo C, Abdalla SM, et al. Health systems resilience in managing the COVID-19 pandemic: lessons from 28 countries. Nat Med. 2021;27:964–980. doi:10.1038/s41591-021-01381-y
5. Patterson GE, McIntyre MK, Clough HE, et al. Societal impacts of pandemics: comparing COVID-19 with history to focus our response. Front Public Health. 2021;9. doi:10.3389/fpubh.2021.630449
6. Yunfeng S, Haiwei L, Ren Z. Effects of pandemic outbreak on economies: Evidence from business history context. Front Public Health. 2021;9.
7. Yamin M. Counting the cost of COVID-19. Int J Inf Technol. 2020;12:311–317. doi:10.1007/s41870-020-00466-0
8. Flor LS, Friedman J, Spencer CN, et al. Quantifying the effects of the COVID-19 pandemic on gender equality on health, social, and economic indicators: a comprehensive review of data from March, 2020, to September, 2021. Lancet. 2022;399(10344):2381–2397. doi:10.1016/S0140-6736(22)00008-3
9. Ruprecht MM, Wang X, Johnson AK, et al. Evidence of social and structural COVID-19 disparities by sexual orientation, gender identity, and race/ethnicity in an urban environment. J Urban Health. 2021;98:27–40. doi:10.1007/s11524-020-00497-9
10. Mukhtar S. Psychological health during the coronavirus disease 2019 pandemic outbreak. Int J Soc Psychiatry. 2020;66(5):512–516. doi:10.1177/0020764020925835
11. Long D, JA H, MF J, et al. Health-related quality of life and mental well-being of healthy and diseased persons in 8 countries: does stringency of government response against early COVID-19 matter? SSM – Popul. 2021;15:100913.
12. Tiwari GK, Singh AK, Parihar P, et al. Understanding the perceived psychological distress and health outcomes of children during COVID-19 pandemic. Educ Dev Psychol. 2023;40(1):103–114.
13. Aydin C. How to forget the unforgettable? On collective trauma, cultural identity, and mnemotechnologies. Identity. 2017;17(3):125–137. doi:10.1080/15283488.2017.1340160
14. Paladino L, Sharpe RP, Galwankar SC, et al. American College of Academic International Medicine (ACAIM). Reflections on the Ebola public health emergency of international concern, part 2: the unseen epidemic of posttraumatic stress among health-care personnel and survivors of the 2014-2016 Ebola outbreak. J Glob Infect Dis. 2017;9(2):45–50.
15. Lazaridou A, Paschali M, Vilsmark ES, et al. The impact of COVID-19 pandemic on mental and physical wellbeing in women with fibromyalgia: a longitudinal mixed-methods study. BMC Women’s Health. 2022;22:267. doi:10.1186/s12905-022-01840-9
16. Bilen A, Kucukkepeci H. Pain intensity, depression, and anxiety levels among patients with chronic pain during COVID-19 pandemic. J Nerv Ment Dis. 2022;210(4):270–275. doi:10.1097/NMD.0000000000001466
17. Mohamed Ali O, Borg Debono V, Anthonypillai J, et al. A qualitative study of the impact of the COVID-19 pandemic on a sample of patients with chronic pain. J Patient Exp. 2022;9:23743735221089698.
18. Al Mutair A, Alhajji M, Shamsan A. Emotional Wellbeing in Saudi Arabia During the COVID-19 Pandemic: A national survey. Risk Manag Healthc Policy. 2021;14:1065–1072. doi:10.2147/RMHP.S279716
19. Smyrnioti ME, Lyrakos G, Meindani M, et al. The impact of the first wave of the COVID-19 pandemic on patients’ perceptions of chronic pain. J Pain Res. 2021;14:2571–2581. doi:10.2147/JPR.S323568
20. Passavanti M, Argentieri A, Barbieri DM, et al. The psychological impact of COVID-19 and restrictive measures in the world. J Affect Disord. 2021;283:36–51. doi:10.1016/j.jad.2021.01.020
21. Smith ML, Steinman LE, Casey EA. Combatting social isolation among older adults in a time of physical distancing: the COVID-19 social connectivity paradox. Front Public Health. 2020;8:403. doi:10.3389/fpubh.2020.00403
22. Fallon N, Brown C, Twiddy H, et al. Adverse effects of COVID-19-related lockdown on pain, physical activity and psychological well-being in people with chronic pain. Br J Pain. 2021;15(3):357–368. doi:10.1177/2049463720973703
23. Parlapani E, Holeva V, Nikopoulou VA, et al. Intolerance of uncertainty and loneliness in older adults during the COVID-19 pandemic. Front Psychiatry. 2020;11:842. doi:10.3389/fpsyt.2020.00842
24. Kleinmann B, Abberger B, Kieselbach K, et al. Patients with chronic pain prefer maintenance of pain treatment despite COVID-19 pandemic restrictions. Pain Physician. 2021;24(2):165–173.
25. Pietromonaco PR, Overall NC. Applying relationship science to evaluate how the COVID-19 pandemic may impact couples’ relationships. Am Psychol. 2021;76(3):438–450. doi:10.1037/amp0000714
26. Ziadni MS, You DS, Cramer EM, et al. The impact of COVID-19 on patients with chronic pain seeking care at a tertiary pain clinic. Sci Rep. 2022;12:6435. doi:10.1038/s41598-022-10431-5
27. Müßgens D, Burgard LC, Kleine-Borgmann J, et al. Impact of the COVID −19 pandemic on patients with chronic pain in Germany: Associations with expectations and control beliefs. Eur J Pain. 2022;26:1343–1354. doi:10.1002/ejp.1955
28. Hruschak V, Flowers KM, Azizoddin DR, et al. Cross-sectional study of psychosocial and pain-related variables among patients with chronic pain during a time of social distancing imposed by the coronavirus disease 2019 pandemic. Pain. 2021;162(2):619–629. doi:10.1097/j.pain.0000000000002128
29. Lassen CL, Siam L, Degenhart A, et al. Short-term impact of the COVID-19 pandemic on patients with a chronic pain disorder. Medicine. 2021;100(10):e25153. doi:10.1097/MD.0000000000025153
30. Pagé MG, Dassieu L, Develay E, et al. Stress and pain before, during and after the first wave of the COVID-19 pandemic: an exploratory longitudinal mixed methods study. Front Pain Res. 2021;24(2):725893. doi:10.3389/fpain.2021.725893
31. Hale T, Angrist N, Goldszmidt R, et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav. 2021;5(4):529–538. doi:10.1038/s41562-021-01079-8
32. Lee JH, Lee H, Kim JE, et al. Analysis of personal and national factors that influence depression in individuals during the COVID-19 pandemic: a web-based cross-sectional survey. Glob Health. 2021;17(1):3. doi:10.1186/s12992-020-00650-8
33. Voss G, Paiva AF, Delerue Matos A. A study of the association between the stringency of Covid-19 government measures and depression in older adults across Europe and Israel. IJERPH. 2021;18(15):8017. doi:10.3390/ijerph18158017
34. Rieger MO, Wang M. Trust in government actions during the COVID-19 crisis. Soc Indic Res. 2022;159(3):967–989. doi:10.1007/s11205-021-02772-x
35. Krok D, Zarzycka B. Risk perception of COVID-19, meaning-based resources and psychological well-being amongst healthcare personnel: the mediating role of coping. J Clin Med. 2020;9(10):3225. doi:10.3390/jcm9103225
36. Monterrosa-Castro A, Redondo-Mendoza V, Mercado-Lara M. Psychosocial factors associated with symptoms of generalized anxiety disorder in general practitioners during the COVID-19 pandemic. JIM. 2020;68(7):1228–1234.
37. Tsagkarakis SI, Melidis M. Challenges and adjustments of healthcare and labor policies in Greece during the COVID-19 Era: A critical assessment of the key social policy responses. ESJ. 2023;19(38):36. doi:10.19044/esj.2023.v19n38p36
38. Ayman F, Mahmoudi N, Moy N, et al. The COVID-19 pandemic in Greece, Iceland, New Zealand, and Singapore: Health policies and lessons learned. HPT. 2020;9(4):510–524.
39. Giannopoulou I, Tsobanoglou G. COVID-19 pandemic: Challenges and opportunities for the Greek health care system. Ir J Psychol Med. 2020;37(3):226–230. doi:10.1017/ipm.2020.35
40. Kondilis E, Tarantilis F, Benos A. Essential public healthcare services utilization and excess non-COVID-19 mortality in Greece. Public Health. 2021;198:85–88. doi:10.1016/j.puhe.2021.06.025
41. Kousi T, Mitsi LC, Simos J. The early stage of COVID-19 outbreak in Greece: A review of the national response and the socioeconomic impact. IJERPH. 2021;18(1):322. doi:10.3390/ijerph18010322
42. Zavras D. Studying the experience of the confinement measures implemented during the COVID-19 pandemic in Greece. World. 2022;3:530–543. doi:10.3390/world3030029
43. Falkenström F, Solomonov N, Rubel J. Using time-lagged panel data analysis to study mechanisms of change in psychotherapy research: methodological recommendations. Couns Psychother Res. 2020;20(3):435–441. doi:10.1002/capr.12293
44. Griep Y, Vranjes I, Kraak J, et al. Start small, not random: why does justifying your time-lag matter? Span J Psychol. 2021;24:E45.
45. Lyrakos GN, Arvaniti C, Smyrnioti M, et al. Translation and validation study of the depression anxiety stress scale in the Greek general population and in a psychiatric patient’s sample. Eur Psychiatry. 2011;26:1731. doi:10.1016/S0924-9338(11)73435-6
46. Lyrakos GN, Papazafiropoulou A, Bousmpoulas S, et al. The Correlation of the Personality in Relation to the Existence of Diabetes Mellitus. 1st National Congress of Mental Health in Primary Health Care; 10–132013.
47. Hartanty N. Psychometric overview of the personal wellbeing index-adult. In: Cummins R, editor. Personal Wellbeing Index Manual. 6th ed. Deakin University, Melbourne: Australian Centre on Quality of Life, ACQol Open-Access Publications; 2013.
48. Clauw D, Häuser W, Cohen S, et al. Considering the potential for an increase in chronic pain after the COVID-19 pandemic. Pain. 2020;161(8):1694–1697. doi:10.1097/j.pain.0000000000001950
49. Colloca L, Thomas S, Yin M, et al. Pain experience and mood disorders during the lockdown of the COVID-19 pandemic in the United States: an opportunistic study. Pain Rep. 2021;6(3).
50. Jowett S, Shevlin M, Hyland P, Karatzias T. Posttraumatic stress disorder and persistent somatic symptoms during the COVID-19 pandemic: The role of sense of threat. Psychosom Med. 2021;83(4):338–344. doi:10.1097/PSY.0000000000000890
51. Shevlin M, Nolan E, Owczarek M, et al. COVID-19-related anxiety predicts somatic symptoms in the UK population. Br J Health Psychol. 2020;25:875–882. doi:10.1111/bjhp.12430
52. National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Health and Medicine Division, Board on Behavioral, Cognitive, and Sensory Sciences, Board on Health Sciences Policy, & Committee on the Health and Medical Dimensions of Social Isolation and Loneliness in Older Adults. Social isolation and loneliness in older adults: Opportunities for the health care system. Washington (DC): National Academies Press (US), 2020. Available from: https://www.ncbi.nlm.nih.gov/books/NBK557964/. Accessed may15, 2024.
53. Schuster NS, de Breij S, Schaap LA, et al. Older adults report cancellation or avoidance of medical care during the COVID-19 pandemic: results from the longitudinal aging study Amsterdam. Eur Geriatr Med. 2021;12:1075–1083. doi:10.1007/s41999-021-00514-3
54. Smolić S, Čipin I, Međimurec P. Access to healthcare for people aged 50+ in Europe during the COVID-19 outbreak. Eur J Ageing. 2021;19:793–809. doi:10.1007/s10433-021-00631-9
55. Soulis G, Inzitari M. Medical care emerging challenges for older people during early COVID-19 pandemic. Eur Ger Med. 2022;13:505–506. doi:10.1007/s41999-022-00611-x
56. Tavares AI. Older Europeans’ experience of unmet health care during the COVID-19 pandemic (first wave). BMC Health Serv Res. 2022;22:182. doi:10.1186/s12913-022-07563-9
57. Angotti M, Mallow GM, Wong A, et al. COVID-19 and its impact on back pain. Glob Spine J. 2022;12(1):5–7. doi:10.1177/21925682211041618
58. Fiala K, Martens J, Abd-Elsayed A. Post-COVID pain syndromes. Curr Pain Head Rep. 2022;26(5):379–383. doi:10.1007/s11916-022-01038-6
59. Meyer-Frießem CH, Gierthmühlen J, Baron R, et al. Pain during and after COVID-19 in Germany and worldwide: a narrative review of current knowledge. Pain Rep. 2021;6(1):e893. doi:10.1097/PR9.0000000000000893
60. Puntillo F, Giglio M, Brienza N, et al. Impact of COVID-19 pandemic on chronic pain management: looking for the best way to deliver care. Best Pract Res Clin Anaesthes. 2020;34(3):529–537. doi:10.1016/j.bpa.2020.07.001
61. Marinangeli F, Giarratano A, Petrini F. Chronic pain and COVID-19: pathophysiological, clinical and organizational issues. Minerva Anestesiol. 2021;87:828–832. doi:10.23736/S0375-9393.20.15029-6
62. Falah Hasan H. Legal and Health Response to COVID-19 in the Arab Countries. Risk Manag Healthc Policy. 2021;14:1141–1154. doi:10.2147/RMHP.S297565
63. Țăran A-M, Mustea L, Vătavu S, Lobonț O-R, Luca -M-M. Challenges and drawbacks of the EU medical system generated by the COVID-19 pandemic in the field of health systems’ digitalization. IJRPH. 2022;19(9):4950.
64. Batistaki C, Mavrocordatos P, Smyrnioti ME, et al. Patients’ perceptions of chronic pain during the economic crisis: lessons learned from Greece. Pain Physician. 2018;21(5):E533–E543. PMID: 30282401. doi:10.36076/ppj.2018.5.E533
65. Tham SW, Murray CB, Law EF, et al. The impact of the coronavirus disease 2019 pandemic on pain and psychological functioning in young adults with chronic pain. Pain. 2022;163(10):e1095–e1101. doi:10.1097/j.pain.0000000000002618
66. Rantanen J, Metsäpelto RL, Feldt T, et al. Long-term stability in the Big Five personality traits in adulthood. Scand J Psychol. 2007;48(6):511–518. doi:10.1111/j.1467-9450.2007.00609.x
67. Bleidorn W, Hopwood CJ, Lucas RE. Life events and personality trait change. J Pers. 2018;86(1):83–96. doi:10.1111/jopy.12286
68. De Vries JH, Spengler M, Frintrup A, et al. Personality development in emerging adulthood - how the perception of life events and mindset affect personality trait change. Front Psychol. 2021;12:671421. doi:10.3389/fpsyg.2021.671421
69. Specht J. Personality development in reaction to major life events. In: Specht J, editor. Personality Development Across the Lifespan. Elsevier Academic Press; 2017:341–356.
70. Bramanti SM, Trumello C, Lombardi L, et al. COVID-19 and chronic disease patients: perceived stress, worry, and emotional regulation strategies. Rehabil Psychol. 2021;66(4):380–385. doi:10.1037/rep0000409
71. Coupet S, Nicolas G, Louder CN, et al. When public health messages become stressful: managing chronic disease during COVID-19. Soc Sci Humanit Open. 2021;4(1):100150. doi:10.1016/j.ssaho.2021.100150
72. Al-Rahimi JS, Nass NM, Hassoubah SA, et al. Levels and predictors of fear and health anxiety during the current outbreak of COVID-19 in immunocompromised and chronic disease patients in Saudi Arabia: a cross-sectional correlational study. PLoS One. 2021;16(4):e0250554. doi:10.1371/journal.pone.0250554
73. Almuzaini Y, Mushi A, Aburas A, et al. Risk communication effectiveness during COVID-19 pandemic among general population in Saudi Arabia. Risk Manag Healthc Policy. 2021;14:779–790. doi:10.2147/RMHP.S294885
74. Guner TA, Erdogan Z, Demir I. The effect of loneliness on death anxiety in the elderly during the COVID-19 pandemic. OMEGA J Death Dying. 2021;20:302228211010587.
75. Khademi F, Moayedi S, Golitaleb M, et al. The COVID-19 pandemic and death anxiety in the elderly. Int J Ment Health Nurs. 2020;30(1):346–349. doi:10.1111/inm.12824
76. Malesza M, Kaczmarek MC. Predictors of anxiety during the COVID-19 pandemic in Poland. Pers Individ Differ. 2021;170:110419. doi:10.1016/j.paid.2020.110419
77. Manchia M, Gathier AW, Yapici-Eser H, et al. The impact of the prolonged COVID-19 pandemic on stress resilience and mental health: a critical review across waves. Eur Neuropsychopharmacol. 2021;55:22–83. doi:10.1016/j.euroneuro.2021.10.864
78. Bohlken J, Kostev K, Riedel-Heller S, et al. Effect of the COVID-19 pandemic on stress, anxiety, and depressive disorders in German primary care: a cross-sectional study. J Psychiatr Res. 2021;143:43–49. doi:10.1016/j.jpsychires.2021.08.016
79. Skapinakis P, Bellos S, Oikonomou A, et al. Depression and its relationship with coping strategies and illness perceptions during the COVID-19 lockdown in Greece: A cross-sectional survey of the population. Depress Res Treat;2020. 3158954. doi:10.1155/2020/3158954
80. Umucu E, Lee B. Examining the impact of COVID-19 on stress and coping strategies in individuals with disabilities and chronic conditions. Rehabil Psychol. 2020;65(3):193–198. doi:10.1037/rep0000328
81. Karos K, McParland JL, Bunzli S, et al. The social threats of COVID-19 for people with chronic pain. Pain. 2020;161(10):2229–2235. doi:10.1097/j.pain.0000000000002004
82. MacLeod S, Tkatch R, Kraemer S, et al. COVID-19 era social isolation among older adults. Geriatrics. 2021;6:52. doi:10.3390/geriatrics6020052
83. de Diego-Cordero R, Ávila-Mantilla A, Vega-Escaño J, et al. The role of spirituality and religiosity in healthcare during the COVID-19 pandemic: An integrative review of the scientific literature. JORH. 2022;61(3):2168–2197.
84. Heidari M, Yoosefee S, Heidari A. COVID-19 Pandemic and the necessity of spiritual care. Iran J Psychiatry. 2020;15(3):262–263. doi:10.18502/ijps.v15i3.3823
85. Francis B, Soon Ken C, Yit Han N, et al. Religious coping during the COVID-19 pandemic: gender, occupational and socio-economic perspectives among Malaysian frontline healthcare workers. Alpha Psychiatry. 2021;22(4):194–199. doi:10.5152/alphapsychiatry.2021.21185
86. Upenieks L. Religious/spiritual struggles and well-being during the COVID-19 pandemic: does “talking religion” help or hurt? Rev Relig Res. 2022;64:249–278. doi:10.1007/s13644-022-00487-0
87. Balestra AM, Chalk K, Spies C, et al. Living with chronic pain during the COVID-19 pandemic: a qualitative analysis. J Pain Res. 2022;15:969–981. doi:10.2147/JPR.S351846
88. Kapitsinis N, Sykas G; the Covid-19 Regional Labour team. A brief overview on the uneven impact of the Covid-19 pandemic on employment, 2020Q2 and 2020Q3,Evidence from Cyprus, France, Spain, Greece, Italy, Malta, Croatia and Portugal: University of Aegean/YOUTH Share - Coronavirus Response & Labour Statistics. [Technical Report]; 2021.
89. Nikiforos M. Crisis, austerity, and fiscal expenditure in Greece: Recent experience and future prospects in the post-COVID-19 era. Eur J Econ Econ Policies. 2021;1–18.
90. Yotsidi V, Bohtsou V, Kroupi K, et al. What makes the difference? Community mental health providers’ and users’ perceptions on dealing with the crisis in Greece. J Psychosoc Rehabil Ment Health. 2018;1–13.
91. Karokis-Mavrikos V, Mavrikou M, Yfantopoulos J. Stakeholder perceptions and public health system performance evaluation: evidence from Greece during the COVID-19 pandemic. Front Polit Sci. 2022;4. doi:10.3389/fpos.2022.1067250
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