Abstract
The current study aimed to investigate the impact of the COVID-19 pandemic on the mental health of people with OCD and the degree of family accommodation (FA) by live-in family members across phases of the lockdown measures imposed by the Belgian government. Forty-nine OCD patients and 26 live-in family members participated in the study. We assessed OCD symptom severity and FA of the live-in family members, as well as depressive symptoms, anxiety and stress levels and COVID-19 related psychological distress of patients and family members at four different timepoints: one month after the start of the lockdown (T1), during the gradual relaxation (T2), between the two waves (T3) and during the second wave (T4). Results showed that although COVID-19 related stress increased and decreased in accordance with the waxing and waning pattern of the pandemic, OCD symptoms showed an initial slight increase followed by a decrease at T3 and again at T4. Changes in family members’ accommodation of symptoms followed the same course as the OCD symptoms. Furthermore, OCD symptoms correlated with depressive symptoms, anxiety and stress levels and COVID-19 related distress at all timepoints. It is important to involve family members in the treatment of OCD even during a pandemic. Clinicians should also pay attention to symptoms of depression, anxiety and stress during OCD treatment. Further research is necessary to entangle the causal relationship between OCD symptoms, FA and symptoms of depression, anxiety and stress.
Keywords: Obsessive-compulsive disorder, OCD, Family accommodation, COVID-19, Pandemic
Introduction
The stress induced by the current COVID-19 pandemic has had a negative impact on the mental health of many patients with obsessive-compulsive disorder (OCD) [1]. Studies have found an increase in symptom severity [2, 3] as well as an increase in feelings of loss of control, anxiety, hopelessness and depression [4]. This is likely attributable to the prevalence of disease reminders and hygienic recommendations [5, 6]. [4] also found that patients interpreted hygienic recommendations to be a “normalization and legitimization” of their OCD behaviors. Furthermore, OCD patients tend to respond to danger and uncertainty with more reassurance-seeking [7], [8]. The latter may affect the extent to which family members are accommodating their loved ones’ OCD symptoms in the current pandemic. Family accommodation (FA), is evident in nearly 90% of family members, and refers to the adjustment that family members make to avoid or reduce their loved one’s distress. Such adjustments range from performing the patient’s compulsive rituals (e.g. checking and cleaning) for them to modifying daily routines (e.g. following the patient’s rules or taking on tasks the person finds difficult because of the OCD).
Although these accommodations afford the patient temporary relief [9–11], FA is widely viewed as a factor in the persistence of OCD symptoms as it prevents the habituation of obsessions [12]. During the COVID-19 pandemic higher FA, especially reassuring and taking over, was reported by the family members since they worried more and felt more empathic towards their OCD relative [4]. However, although symptoms of OCD, anxiety, and depression and FA seemed to increase during the COVID-19 pandemic, it is less clear how they evolve over time and how they are associated with the course of the lockdown measures. It may be the case that an increase in COVID-19 threat results in an increase in family accommodation, because during lockdowns family members may be home together more and the costs of accommodating may be smaller (e.g., family members are not rushing to get to work) and there are potentially more COVID-19-related triggers for obsessions (contamination fears and fears of causing passive harm in particular). Moreover, lockdown is associated with greater symptoms of anxiety and depression, which in turn may exacerbate symptoms. However, during lockdown people do not venture out as much and may be more careful about hygiene, so the sense of personal threat presented by COVID-19 may be less. After a harsh lockdown in the middle of March 2020 in response to the rising number of cases, hospitalizations and deaths, a gradual relaxation occurred in the beginning of May 2020 allowing to travel again in July 2020. However, new restrictions on social contact, traveling and shopping were re-imposed in the beginning of October 2020 due to the second wave. This provides an opportunity to track symptoms and accommodation across phases of COVID-19 restrictions.
Aims and Hypotheses of the Present Study
The aims of the present study were twofold. First, given that previous studies, which have mainly focused on certain symptom dimensions or direct comparison between symptoms before and during the pandemic, we aimed to determine the effect of the waxing and waning pattern of the COVID-19 pandemic as represented by the total number of daily COVID-19 hospitalizations on OCD symptom severity of the patients. Second, we aimed to examine the effects of the patient’s own depression, anxiety and stress levels and COVID-19 related distress and the family accommodation of the lived-in family members on the patient’s OCD symptoms. It was hypothesized that: 1) patients would experience an increase in symptoms of OCD, depression, anxiety, stress, COVID-19 distress and FA as the number of COVID-19 hospitalizations increased; 2) OCD symptoms at each timepoint would be associated with participants’ own levels of depression, anxiety, general and COVID-19 related stress and the level of family accommodation of live-in family members.
Methods
Recruitment and Selection
Participants were recruited at the Centre for OCD of the Ghent University Hospital (UZ Gent) located in Belgium. All patients had previously been diagnosed with OCD by expert psychiatrists and clinical psychologists using the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth or Fifth Edition (DSM-IV or DSM-5), as reported in their electronic medical records. Inclusion criteria were: (a) diagnosis of OCD, (b) age of patients between 18 and 65 years old, (c) speaking Dutch fluently. Exclusion criteria were: (a) current substance abuse and (b) psychotic symptoms. In addition, Dutch speaking family members, aged 18-65 years old, who were living in the same household as the patients with OCD were asked to participate in the study. This study was approved by the Ethical Committee of the Ghent University Hospital (UZ Gent, BC-07561).
Demographics of Participants
In total, 49 patients and 26 family members participated in the study. Demographic characteristics of the patients and family members are described in Table 1. The mean age of the OCD patients was 34.7 yrs. (SD = 11.0, range: 19–64) with 69.4% being female and a mean symptom duration of 17.8 yrs. (SD = 10.4, range: 1–47). Twenty-six, 16 male and 10 female (7 mothers, 16 male and 3 female partners) live-in family members participated as well. The mean age of the family members was 42.5 years (SD = 12.0, range: 24–63). All patients and family members were Caucasian and living in the Flemish part of Belgium, except for one patient and partner who were living in the Netherlands.
Table 1.
Description of Patients (N=49) and Family Members (N=26) Characteristics
| Variable | Group | N (%) Patient |
N (%) Family member |
|---|---|---|---|
| Gender |
Female Male |
34 (69.4) 15 (30.6) |
10 (38.5) 16 (61.5) |
|
Educational attainment |
Primary school Secondary school Bachelor’s degree Master’s degree |
0 (0) 23 (46.9) 8 (16.3) 18 (36.7) |
1 (3.8) 7 (26.9) 8 (30.8) 10 (38.5) |
|
Employment status |
Employed Unemployed (health related) Unemployed Retired Student Other |
19 (38.8) 15 (30.6) 4 (8.2) 2 (4.1) 7 (14.3) 2 (4.1) |
23 (88.5) 1 (3.8) 0 (0) 1 (3.8) 0 (0) 1 (3.8) |
| Marital status |
Single Relationship not living together Practically or common-law living together Married Widowed Separated |
16 (32.7) 11 (22.4) 4 (8.2) 16 (32.7) 0 (0) 2 (4.1) |
2 (7.7) 8 (30.8) 0 (0) 15 (57.7) 0 (0) 1 (3.8) |
| Living condition |
Living together Living alone |
42 (85.7) 7 (14.3) |
26 (100) 0 (0) |
| Children |
Children No children |
32 (65.3) 17 (34.7) |
5 (19.2) 21 (80.8) |
| Mental health treatment |
Current treatment provider - GP - Psychologist - Psychiatrist - Other No current treatment |
43 (87.8) 8 (18.6) 30 (69.8) 40 (93.0) 2 (4.7) 6 (12.2) |
|
| Type of treatment (past or present) |
Medication - SSRI - SNRI - Clomipramine - Risperidone or aripiprazole Psychotherapy - CBT - System therapy - Psychodynamic therapy Neuromodulation (TMS, DBS, ECT) |
45 (91.8) 36 (80.0) 16 (35.5) 15 (33.3) 10 (22.2) 44 (89.8) 41 (93.2) 3 (6.8) 3 (6.8) 16 (32.7) |
|
| Positive family history of psychiatric disorders |
OCD Depressive disorder Anxiety disorder Substance use disorder Psychotic disorder Tic disorder Autism ADHD Other None |
12 (24.5) 25 (51.0) 14 (28.6) 19 (38.8) 2 (4.1) 1 (2.0) 3 (6.1) 5 (10.2) 4 (8.2) 11 (22.4) |
Procedure
OCD symptoms of patients and family accommodation of the live-in family members were assessed via telephone or face-to-face interviews. These were conducted by the first and third author, a senior psychiatrist and a senior psychologist respectively, both working at the Centre for OCD of the Ghent University Hospital. ‘Depressive symptoms, anxiety and stress levels’ and ‘COVID-19-related psychological distress’ of patients and family members were assessed using REDCap, a secure, web-based platform for building and managing online surveys [13]. Between April 14th and May 15th, the baseline assessment (T1) took place (for all but 3 participants (April 6th, May 18th and 22nd)), followed by three assessments (T2-T4), respectively 1 month, 3 months and 6 months after the baseline assessment. The first assessment (T1) took place one month after the start of the lockdown. The second assessment (T2) fell during the gradual relaxation and the third (T3) in the middle of the summer between the two waves. During the last assessment (T4) new restrictions were re-imposed because of the second wave. The pattern of the lockdown measures followed the number of COVID hospitalizations. The total number of hospitalized COVID-19 patients in Belgium, with a population of approximately 11.5 million, was high during the first wave with 309 hospitalizations per million inhabitants at T1 (SD = 101.9 range: 152–481) but with even higher hospitalization rates per million inhabitants per day during the second wave at T4 468 (SD = 169.4 range: 155–649). T2 and T3 felt between the two waves with lower hospitalization rates per million inhabitants: 85 (SD = 39.7 range: 34–162) at T2 and 21 (SD = 5.0 range: 13–27) at T3 Fig. 1.
Fig. 1.
Total number of lab-confirmed hospitalized COVID-19 patients in Belgium (data from www.sciensano.be) and mean scores for Y-BOCS, CPDI, depression (DASS-D), anxiety (DASS-A) and stress (DASS-S) of the patients (N=49) at the different timepoints (T1, T2, T3, T4)
‘OCD symptom severity’ was assessed using the validated Dutch version of the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) [14–16]. This is a clinician-rated 10-item scale, consisting of two subscales of obsessions (5 items) and compulsions (5 items) to determine OCD severity, resulting in a total score from 0 to 40. In the current study, Cronbach’s alphas of the total Y-BOCS and the subscales of obsessions and compulsions were 0.96, 0.93 and 0.93 respectively at T1.
‘Family accommodation’ was measured using the Dutch version of the interviewer-rated Family Accommodation Scale for Obsessive-Compulsive Disorder (FAS-IR) [17]. The 12-item clinician-rated questionnaire assesses the types of accommodation behaviours family members engage in and their associated interference. The total score of these items (0–48) indicates the level of family accommodation since each answer varies from 0 to 4. In this study the Cronbach’s alpha was 0.90 at T1.
‘Depressive symptoms, anxiety and stress levels’ were investigated with the Dutch version of the self-reported 21-item Depression, Anxiety and Stress Scale (DASS-21) [18, 19]. It consists of 21 items, each rated on a four-point scale from 0 (hardly ever) to 3 (almost always). The Cronbach's alphas for depression, anxiety and stress were 0.93, 0.89, 0.93 respectively at T1.
‘Specific distress regarding Covid-19’ was measured by the Dutch translation of the Covid-19 Peritraumatic Distress Index (CPDI). This self-reported questionnaire inquiries about the frequency of anxiety, depression, specific phobias, cognitive change, avoidance and compulsive behavior, physical symptoms and loss of social functioning in the past week. The scores range from 0 to 100, with higher scores indicating more distress [20]. In the current study the Cronbach’s alpha of the CPDI was 0.94 at T1.
‘The waxing and waning pattern of the COVID-19 pandemic in Belgium’ was represented by the evolution of the total number of daily hospitalized patients with COVID-19 in Belgium (www.sciensano.be) as the daily newly confirmed COVID-19 cases were initially not a very good indicator of the pandemic’s progress because of a restricted testing policy and capacity.
Analysis
All statistical tests were performed at the two-sided 5% significance level, unless otherwise specified and were performed using Statistical Package of the Social Sciences (SPSS, version 26). To describe OCD, stress, anxiety and depressive symptoms of the patients over time, mixed models were applied for each outcome measure (Y-BOCS and FAS, DASS-21 and CPDI) separately, with patients defined as subjects and a compound symmetry (CS) variance covariance structure. All available data were included in the analyses, as the mixed model approach is known to handle missing data in longitudinal studies appropriately under the MAR or MCAR assumption [21].
To compare COVID stress and depressive, anxiety and stress scores between family members and patients Pearson correlations and linear regression were applied for each time point separately. The analyses were performed on all the available pairs for that specific time point. To assess the reliability of the used scales, the Cronbach’s alpha was calculated for each scale at T1. No correction for multiple testing was applied.
Results
The overall response rate was high during all timepoints, non-participation occurred for Y-BOCS at T1 and T3 (one patient) and T4 (two patients) and for CPDI and DASS-21 (using REDCAP) at T3 and T4 (one patient). A common reason for non-participation included more arousal and fear due to re-evaluation and attention directed to the complaints. We did not miss any assessments at any timepoint among family members.
OCD, Stress, Anxiety and Depressive Symptoms of the Patients Over Time
In the total patient sample (N=49), the pattern of the lockdown measures and the COVID-19 hospitalization rates were reflected in symptom severity, with the lowest scores on OCD, stress, anxiety and depressive measures at T3. OCD symptoms further decreased at T4 whereas stress, anxiety and depressive scores worsened again at T4. OCD symptoms significantly improved from T2 to T3 (p<.05) and T2 to T4 (p<.01). COVID-19 stress significantly decreased from T1 to T3 (p<.05) and increased again from T3 to T4 (p<.05). Depressive symptoms significantly improved from T1 to T3 (p<.01) and from T2 to T3 (p<.01) but worsened again from T3 to T4 (p<.05). Stress improved significantly from T2 to T3 (p<.05). However, no significant changes were found for anxiety over time. Table 2.
Table 2.
Mean scores (standard deviation) of Y-BOCS, CPDI, depression (DASS-D), anxiety (DASS-A) and stress (DASS-S) of the patients (N=49) at the different time points
| T1 M (SD) |
T2 M (SD) |
T3 M (SD) |
T4 M (SD) |
|
|---|---|---|---|---|
| Patients n=49 | ||||
| Y-BOCS | 18.3 (1.23) | 19.6 (1.24) | 16.6 (1.24)a | 16.4 (1.25)b |
| CPDI | 39.0 (2.44) | 38.5 (2.44) | 35.7 (2.45)c | 39.4 (2.45)d |
| DASS-D | 8.9 (0.80) | 9.1 (0.80) | 7.1 (0.81)e | 8.6 (0.81)f |
| DASS-A | 6.2 (0.67) | 6.4 (0.67) | 6.2 (0.67) | 6.3 (0.67) |
| DASS-S | 9.7 (0.75) | 10.1 (0.75) | 8.9 (0.75)g | 9.8 (0.75) |
asignificant decrease from T2 to T3 (p<.05)
bsignificant decrease from T2 to T4 (p<.01)
csignificant decrease from T1 to T3 (p<.05)
dsignificant increase from T3 to T4 (p<.05)
esignificant decrease from T1 to T3 and T2 to T3 (p<.01)
fsignificant increase from T3 to T4 (p<.05), gsignificant decrease from T2 to T3 (p<.05)
Significant differences (p<.01) were found on stress, anxiety, depressive and COVID-19 distress scores at the different time points between family members (N=26) and patients (N=26). Scores of the family members were in the normal range at all timepoints whereas patient’s scores were moderately severe (see Table 3. No significant differences in age, gender, Y-BOCS, CPDI, DASS-D, DASS-A and DASS-S scores were found at baseline (T1) between the total patient group (N=49) and the patient group whose live-in family members were interviewed (N=26).
Table 3.
Mean scores (standard deviation) of Y-BOCS, FAS, CPDI, depression (DASS-D), anxiety (DASS-A) and stress (DASS-S) of patients (N=26) and family members (N=26) at the different time points
| T1 M(SD) | T2 M(SD) | T3 M(SD) | T4 M(SD) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Patient | Family | p | Patient | Family | p | Patient | Family | p | Patient | Family | p | |
| CPDI | 40.3 (3.86) | 21.1 (2.03) | <.01 | 38.6 (3.86) | 17.9 (2.03) | <.01 | 37.3 (3.86) | 19.1 (2.03) | <.01 | 39.8 (3.86) | 18.6 (2.03) | <.01 |
| DASS-D | 9.0 (1.18) | 2.3 (0.64) | <.01 | 9.3 (1.18) | 2.2 (0.64) | <.01 | 7.3 (1.18) | 2.7 (0.64) | <.01 | 9.0 (1.18) | 3.0 (0.64) | <.01 |
| DASS-A | 7.0 (1.09) | 1.3 (0.42) | <.01 | 7.1 (1.09) | 0.8 (0.42) | <.01 | 6.4 (1.09) | 1.4 (0.42) | <.01 | 7.0 (1.09) | 1.0 (0.42) | <.01 |
| DASS-S | 10.6 (1.20) | 3.3 (0.74) | <.01 | 10.6 (1.20) | 2.9 (0.74) | <.01 | 9.5 (1.20) | 3.4 (0.74) | <.01 | 10.5 (1.20) | 2,8 (0.74) | <.01 |
| Y-BOCS | 16.7 (1.65) | 17.8 (1.65) | 16.1 (1.65) | 15.8 (1.65) | ||||||||
| FAS | 7.2 (1.79) | 10.5 (1.79)a | 8.0 (1.79) | 7.8 (1.79)b | ||||||||
asignificant increase from T1 to T2 (p<.05)
bsignificant decrease from T2 to T4 (p<.05)
These results confirmed partly the first hypothesis. Depressive symptoms, stress levels and COVID-19 related stress increased and decreased in accordance with the waxing and waning pattern of the pandemic, but OCD symptoms showed an initial slight increase followed by a decrease at T3 and again at T4.
Correlations of OCD Symptoms of the Patients with the Own Depression, Anxiety and (COVID-19) Stress and FA of Family Members During the Pandemic
Patients’ Y-BOCS scores were significantly associated with their own CPDI, DASS-D, DASS-A scores at the different timepoints (p<.01) and DASS-S scores at T1, T2 and T4 (p<.01) and at T3 (p<.05) Table 4. In addition, Y-BOCS scores were significantly associated with FAS scores,an increase in Y-BOCS score of 10 points was associated with an increase of 3 points on FAS scores (95% CI: 0.11 to 0.48) (p<.01).
Table 4.
Pearson correlations for Y-BOCS, FAS, CPDI, depression (DASS-D), anxiety (DASS-A) and stress (DASS-S) of patients (N=26) and family members (N=26) at the different time points
| Y-BOCS | FAS | CPDI Patient |
CPDI Family |
DASS-D Patient |
DASS-D Family |
DASS-A Patient |
DASS-A Family |
DASS-S Patient | DASS-S Family | |
|---|---|---|---|---|---|---|---|---|---|---|
| Y-BOCS | ||||||||||
| T1 | 1 | 0.42* | 0.60** | 0.05 | 0.55** | 0.19 | 0.68** | 0.12 | 0.57** | –0.06 |
| T2 | 1 | 0.45* | 0.61** | –0.01 | 0.68** | –0.02 | 0.69** | 0.04 | 0.57** | –0.17 |
| T3 | 1 | 0.58** | 0.54** | –0.06 | 0.56** | –0.17 | 0.59** | –0.31 | 0.47* | –0.24 |
| T4 | 1 | 0.61** | 0.70** | 0.29 | 0.67** | 0.19 | 0.65** | 0.06 | 0.69** | 0.16 |
| FAS | ||||||||||
| T1 | 0.42* | 1 | 0.25 | 0.14 | 0.37 | 0.14 | 0.38 | 0.23 | 0.41* | 0.11 |
| T2 | 0.45* | 1 | 0.37 | 0.34 | 0.38 | 0.08 | 0.29 | 0.23 | 0.40* | –0.03 |
| T3 | 0.58** | 1 | 0.27 | 0.24 | 0.23 | –0.01 | 0.11 | –0.04 | 0.16 | 0.08 |
| T4 | 0.61** | 1 | 0.54** | 0.36 | 0.47* | 0.17 | 0.48* | 0.13 | 0.48* | 0.19 |
*p<.05
**p<.01
Further, we found a significant association of FAS scores with patients’ CPDI scores at T4 (p<.01), with the DASS-D and DASS-A at T4 (p<.05) and with the DASS-S at T1, T2 and T4 (p<.05). There were no significant relationships between FAS and family members’ CPDI, DASS-D, DASS-A and DASS-S scores Table 4. FAS scores significantly increased from T1 to T2 (p<.05) and decreased from T2 to T4 (p<.05) in family members Table 3, following the same time course of patients’ Y-BOCS.
These results confirmed the second hypothesis as OCD symptoms correlated with depressive symptoms, anxiety and stress levels and COVID-19 related distress at all timepoints and OCD symptoms are strongly associated with family accommodation.
Discussion
The current study aimed to evaluate changes in OCD symptom severity and their associations with the own mental health and family accommodation of live-in family members during the phases of the COVID-19 pandemic from March until October of 2020. It was hypothesized that patients would experience an increase in symptoms of OCD, depression, anxiety, stress, COVID-19 distress and FA as the number of COVID-19 hospitalizations increased. Furthermore, we assumed that OCD symptoms at each timepoint would be associated with participants’ own levels of depression, anxiety, general and COVID-19 related stress and the level of family accommodation of live-in family members.
Although patients’ OCD symptoms increased slightly from the beginning of the pandemic until the first lockdown, they improved as the pandemic progressed. This is in contrast with previous studies highlighting the negative impact of the COVID-19 pandemic on OCD symptoms [22, 23], independent of different symptom dimensions [2, 3]. It may be that there was an initial sensitization that exacerbated symptoms, followed by habituation to the stimuli evoking them. It may also be the case that as the pandemic continued people were able to develop better insight into their obsessions and view them as less threatening, etc. [24]. It is also likely that at least some patients continued to isolate even during the gradual relaxation of the lockdown measures, allowing them to avoid the range of OCD triggers they would normally encounter. Finally, some people with OCD may have felt vindicated or safer now that people were following much more stringent hygiene protocols than at pre-pandemic, even when lockdown restrictions relaxed.
It is also important to note that the accessibility and nature of treatment changed across these timeframes. During the first wave and initial lockdown treatment availability was greatly curtailed [4]. However, during the summer months and the second wave treatment availability increased as therapists moved to online platforms and appropriate safety protocols were established for in-person treatment. Indeed, there is evidence that people with OCD who were in treatment have coped well during the pandemic [25, 26]. However, although OCD symptoms decreased, COVID-19 distress and depression worsened again during the second wave. This may be due to job loss, uncertainty, isolation, and other factors that can exacerbate depressive symptoms [4, 27]. The increase of the COVID-19 related stress may partly be explained by the rise of COVID-19 cases and hospitalizations.
During the pandemic, patients’ stress, anxiety and depressive symptoms consistently remained higher than those of family members Table 3. This may reflect the ten times higher prevalence of major depressive disorders in OCD patients compared to the general population [28]. Similarly, a high comorbidity with different anxiety disorders, ranging from 27-37% has also been reported [29]. No information about comorbidity in our sample was available. Further, people with pre-existing mental disorders, and especially with OCD, are more prone to relapses and stress during pandemics [1, 30]. Finally, even though feelings of loss of control increase fear and uncertainty in all people as the trajectory of the pandemic is constantly changing [31], this may be even worse in OCD patients as beliefs of losing control can worsen their mental health [32].
As expected, an association was found between the OCD symptoms severity and the symptoms of depression, anxiety and stress levels and COVID-19 related distress of patients at all timepoints. This result is in accordance with several studies showing that a previous diagnosis of a mental disorder is significantly associated with depression and anxiety [33] and stress [34] and COVID-19 related distress [2, 3, 8] is associated with OCD symptoms. However, in Pan et al. [1] people with severe or chronic mental disorders the COVID-19 pandemic did not seem to exhibit an exacerbation of their pre-existing high levels of symptoms. According to Pan’s study this could be due to having a structured and fixed daily routine that serves as a resilience factor, or by simply natural remission.
The degree of family accommodation was positively correlated with the OCD symptom severity at all timepoints. This is in line with the results of a recent study where patients who experienced a global worsening of their OCD reported an increased FA [22]. It is well known that family members are more prone to accommodate in case of severe OCD symptoms and that FA may contribute to OCD symptom severity by facilitating compulsions [35–38]. Moreover, FA was also correlated with symptoms of depression, anxiety levels and COVID-19 related distress of patients at T4 and with stress levels of patients at T1, T2 and T4. It is difficult to explain why anxiety and depressive symptoms of the patients and not of the family members were associated with FA as a positive correlation was expected in family members and not in patients [36, 39]. Further research is needed to clarify this, but it could be that family members have a low tolerance for seeing their loved ones in distress and so seek to intervene quickly to soothe it, as Calvocoressi et al. [17] found that most family members accommodate in an effort to diminish the patient’s distress. The question whether higher levels of FA are resulting from or causing more severe OCD symptoms and/or more anxiety, depression and stress in patients warrants further investigation. For the time being, our results point to the importance of involving family members in the treatment of OCD even during this pandemic since high levels of FA may lead to a less favorable treatment response of patients [10].
Limitations
Several factors limit the generalizability of our results: the small sample size, the difference in number of included patients and family members, and the lack of follow-up assessments after 6 months. The participants were all recruited from one specialist OCD clinic, and therefore generalizability of findings to other geographic regions which had different patterns of COVID-19 outbreaks may be limited. Further, since the severity of pre-existing levels of OCD symptoms and comorbidity and the amount of received therapy may strongly vary between the participants, these factors could have influenced our results.
Conclusions
In conclusion, the results of the present study indicate that OCD symptoms may actually improve during a pandemic, contrary to what might be expected. However, symptoms remain strongly associated with family accommodation. Therefore, it is important to involve family members in the treatment of OCD even during a pandemic. Clinicians should also pay attention to symptoms of depression, anxiety and stress during OCD treatment. Further research is necessary to entangle the causal relationship between OCD symptoms, FA and symptoms of depression, anxiety and stress.
Acknowledgements
The authors would like to thank the patients and family members who participated in this research. EDJ is an ‘Aspirant’ (Ph.D. Fellow) of the Research Foundation-Flanders (FWO) (Grant Number: 1195919N).
Abbreviations
- OCD
Obsessive-Compulsive Disorder
- COVID-19
Coronavirus Disease-2019
- FA
Family Accommodation
- DSM-IV
Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition
- DSM-5
Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition
- REDCap
Research Electronic Data Capture
- Y-BOCS
Yale-Brown Obsessive-Compulsive Scale
- FAS-IR
interviewer-rated Family Accommodation Scale for Obsessive-Compulsive Disorder
- DASS-21
Depression, Anxiety and Stress Scale
- CPDI
Covid-19 Peritraumatic Distress Index
- SPSS
Statistical Package of the Social Sciences
- CS
Compound Symmetry
- MAR
Missing At Random
- MCAR
Missing Completely At Random
Biographies
Hannelore LN Tandt
is Psychiatrist and Cognitive Behavioural Therapist at the Ghent University Hospital and head of the Centre of OCD. Her research focuses on family accommodation, psychotherapy and neuromodulation in obsessive-compulsive disorders.
Inge Debruyckere
is a 5th year resident Psychiatrist at the Ghent University Hospital and is training to become a Cognitive Behavioural Therapist.
Lemke Leyman
is Psychologist and Cognitive Behavioural Therapist at the Ghent University Hospital. She is an expert in conducting psychotherapy in the field of obsessive-compulsive disorders and her research also focuses on this topic.
Roos Colman
is Biostatistician at the Biostatistics Unit, Department of Public Health and Primary Care and provides statistical consultancy to researchers affiliated to the Faculty of Medicine and Health Sciences.
Emiel A De Jaeghere
is Internal Medicine Resident and Ph.D. Fellow at Ghent University Hospital. His research focuses on the treatment of tumors of the female genital tract and immuno-oncology.
Hanna Van Parys
is psychologist and couple and family therapist at the Ghent University Hospital. She is an expert in qualitative research methods and supervises research in the field of couple- and family studies.
Chris Baeken
is Associate Professor in Psychiatry, Department Head and Skin, Ghent University and Head of the Department of Psychiatry, Ghent University Hospital in Belgium. His research focuses on brain imaging and brain stimulation in psychiatric disorders.
Christine Purdon
is a Full Professor in the Department of Psychology, University of Waterloo. Her research focuses on the development and persistence of anxiety and obsessive-compulsive disorder.
Gilbert MD Lemmens
is Associate Professor in Psychiatry, Department Head and Skin, Ghent University and Head of the Department of Psychiatry, Ghent University Hospital in Belgium. His research focuses on perinatal mental health, consultative and liaison psychiatry and family therapy for psychiatric disorders.
Funding
This research was not supported by any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Data Availability Statement
HT and RC had full access to all of the data in the study and take responsibility for the accuracy of the data analysis and the integrity of the data.
Declarations
Ethics Approval
This study was approved by the Ethical Committee of Ghent University Hospital (UZ Gent, BC-07561).
Consent to Participate
Informed consent was obtained from all individual participants included in the study.
Consent for Publication
Informed consent was obtained from all individual participants included in the study.
Conflict of Interest
EDJ reports non-financial support from Pfizer and non-financial support from PharmaMar, all outside the submitted work and institutional (not personal). All other authors declare that they have no conflicts of interest.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
HT and RC had full access to all of the data in the study and take responsibility for the accuracy of the data analysis and the integrity of the data.