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SYSTEMATIC REVIEW article

Front. Psychol., 29 September 2021
Sec. Psychopathology

Eating Disorders Spectrum During the COVID Pandemic: A Systematic Review

\nMario Miniati
Mario Miniati1*Francesca MarzettiFrancesca Marzetti2Laura PalaginiLaura Palagini1Donatella MarazzitiDonatella Marazziti1Graziella OrrGraziella Orrù2Ciro ConversanoCiro Conversano2Angelo GemignaniAngelo Gemignani2
  • 1Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
  • 2Department of Surgical, Medical and Molecular Pathology, Critical and Care Medicine, University of Pisa, Pisa, Italy

Background: Several data suggest that coronavirus disease 2019 (COVID-19) pandemic may exacerbate or trigger eating disorders (EDs). The aim of this paper was to summarize current literature studies on COVID pandemic and EDs.

Methods: Literature search, study selection, methods, and quality evaluation were performed according to the preferred reporting items for systematic review and meta-analyses (PRISMA) guidelines.

Results: A systematic search allowed the initial selection of 172 papers; 21 (12.2%) papers were eligible and included in the review. In selected studies, a total number of 29,108 subjects were enrolled (range: 10–11,391; mean/SD: 1,386 ± 2,800), 6,216 were men (21.4%), 22,703 were women (77.9%), and 189 (0.7%) were gender fluid or not declared. The mean age/SD of subjects was 30.2 ± 7.7. About 12 studies (57.1%) were online surveys, 4 (19.0%) were retrospective studies, 2 (9.5%) were qualitative studies, 2 (9.5%) were longitudinal cohort studies, and 1 was a social media survey (4.8%). Their analysis revealed five main findings: (1) changes in the routines of physical activities were related to the worsening of preoccupation on weight/body shape; (2) food access limitation during pandemic represented the risk factors for both triggering and exacerbating EDs; (3) restriction in healthcare facilities contributed to increase anxiety levels and to modify treatment compliance; (4) social isolation was related to the exacerbation of symptoms in patients with EDs who are home-confined with family members; and (5) conflicts and difficulties in relationships with “no way out” were the maintenance factors for ED symptoms, especially in adolescents and young adults.

Conclusion: The COVID-19 pandemic had a negative impact on EDs that might be triggered by the exceptional conditions derived from COVID-19-related stress in predisposed subjects. Patients who were already affected by EDs experienced the worsening of their clinical conditions and related quality of life (QoL).

Research Highlights

- During the COVID-19 pandemic, it is essential that patients with EDs remain in touch with their professional supports, to ensure that their health status is monitored. There is an urgent need to better understand the efficacy of the online delivery of treatments for EDs and to improve both the accessibility and acceptability (Barney et al., 2020).

- We noticed some criticisms of online surveys and long-distance management of patients with EDs, such as limited accessibility, mainly because of technical issues (software, technical support, etc.). Difficulties experienced by clinicians in conducting online visits, the need for improvement in online software for the check of vital signs, and privacy issues are the main limitations of this long-distance approach. Even with these limitations, telemedicine was the easiest way in the midterm for the management of patients with EDs during pandemic.

- We suggest that a better understanding of the COVID-19 consequences on the dietary habits of the general population and patients with EDs needs to be related to a more general assessment of the chronobiological rhythms disruption due to lockdown.

- Long-term consequences of current pandemic need to be explored with follow-up studies and with the adoption of shared outcomes measures, which put an end to the Babel of instruments used.

Introduction

Changes in everyday activitiesand in lifestyle due to severe acute respiratory syndrome CoV2 (SARS-COV2) [coronavirus disease 2019 (COVID-19)] pandemic and related quarantine measures strongly affected the mental health of the general population (Marazziti et al., 2020; Poli et al., 2020), and of special populations (Conversano et al., 2020; Orrù et al., 2021). These changes may represent an additional burden both for individuals with a pre-existing eating disorders (EDs) and for subjects from general population who are belonging to the so-called “anorexia-bulimia spectrum” (Miniati and Marazziti, 2019). A series of factors may have a detrimental impact on psychological well-being, eating habits, and the onset or recovery of EDs, including: disruption to living situations, social distancing restrictions, difficult access to healthcare, and societal changes to food behaviors and technology usage (Ammar et al., 2020). Psychosocial stressors stemming from the COVID-19 pandemic and the resulting stay-at-home confinement may exacerbate ED-related triggers and represent a challenging environment for individuals with anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED) (Hensley., 2020; McMenemy., 2020). The hypertrophic sense of control of patients with AN and the intense polarization on body weight and shape may worsen, especially when self-control is altered by the impact of exceptional external factors, such as those occurring during the COVID pandemic and lockdown (Schlegl et al., 2020a,b). Patients with AN and BN may foster skipping meals and restricting calories or, conversely, may increase binge eating due to the availability of food at home brought about by food insecurity and hoarding (Touyz et al., 2020; Weissman et al., 2020). Moreover, preliminary observations focused on the risk of developing EDs in patients who contracted COVID-19, renewing questions on the role of immunologic and neurobiological factors as potential triggers for AN and BN through inflammatory processes, together with behavioral changes induced by the infection, such as loss of appetite and decrease in food intake. A vulnerable population of subjects, such as EDs patients, is at high risk of acute and long-term consequences from COVID-19 pandemic. The relevant restrictions in psychiatric and psychological services and the access limitations both to inpatients and outpatients facilities need to be also considered.

The aim of this paper is to summarize and comment on current literature studies on the impact of the COVID pandemic on ED spectrum.

Materials and Methods

We conducted a systematic search of a few literature studies on online databases, including the studies published between January 1, 2020 and October 31, 2020 using PubMed. We adhered to the preferred reporting items for systematic review and meta-analyses (PRISMA) guidelines in the completion of a systematic review (Moher et al., 2009).

Protocol and Registration

This review is not included in a research protocol.

Eligibility Criteria

The systematic review field of search was determined using the patient, intervention, comparison, and outcome (PICO) strategy (Schardt et al., 2007), as detailed in Table 1. Papers were selected for a full-text analysis based on the title, abstract, and keywords, provided that they met the following criteria: (1) written in English; (2) original articles on studies with a longitudinal design; (3) prospective or retrospective, observational (analytical or descriptive), experimental or quasi-experimental, and controlled or non-controlled studies; and (4) the articles accepted for publication in a peer-reviewed journal. Reviews and non-original articles (i.e., case reports, editorials, letters to the editor, and book chapters) were not included. We found no randomized controlled trials (RCTs) or long-term follow-up studies derived from RCTs, therefore, the assessment of the risk of bias of individual studies was not performed.

TABLE 1
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Table 1. Eligibility criteria.

Information Source and Strategy

A search of literature studies was designed and performed independently in duplicate by two authors (MM and FM).

The MEDLINE search was conducted using the following syntax: [‘feeding and eating disorders’[MeSH Terms] OR (‘feeding’[All Fields] AND ‘eating’[All Fields] AND ‘disorders’[All Fields]) OR ‘feeding and eating disorders’[All Fields] OR (‘eating’[All Fields] AND ‘disorders’[All Fields]) OR ‘eating disorders’[All Fields] OR (‘bulimia’[MeSH Terms] OR ‘bulimia’[All Fields] OR (‘binge’[All Fields] AND ‘eating’[All Fields]) OR ‘binge eating’[All Fields]) OR (‘bulimia’[MeSH Terms] OR ‘bulimia’[All Fields]) OR (‘anorexia’[MeSH Terms] OR ‘anorexia’[All Fields] OR ‘anorexias’[All Fields]) AND (‘sars cov 2’[MeSH Terms] OR ‘sars cov 2’[All Fields] OR ‘covid’[All Fields] OR ‘covid 19’[MeSH Terms] OR ‘covid 19’[All Fields] OR ‘lockdown’[All Fields])], leading to a total of 172 papers.

Study Selection

Two authors (MM and FM) independently screened the resulting articles for their methodology and appropriateness for inclusion. A consensus discussion was used to resolve the disagreements of reviewers.

Data Collection Process and Data Items

Two independent authors (MM and FM) assessed the language suitability and subject matter of each paper and extracted the data reported in Table 2. With respect to the setup of patients, the following factors were obtained from the studies: the number of patients enrolled, age of patients, gender distribution, and diagnostic distribution. With respect to intervention, we collected the information on the eventual treatment administered when available. With respect to outcomes, we extracted the prevalence of EDs, the description of the impact of lockdown and quarantine, and the instruments (i.e., rating scales, questionnaires, etc.).

TABLE 2
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Table 2. Studies on eating disorders spectrum during COVID-19 pandemic.

Risk of Bias in Individual Studies

As already anticipated in Section Eligibility Criteria, the risk of bias of individual studies was not performed considering that no RCTs or systematic follow-up studies derived from RCTs were found.

Data Synthesis

A meta-analysis could not be performed because of the lack of homogeneity among the resulting studies. In particular, it has been noted that studies varied in terms of how improvements were measured. Hence, this systematic review is summarized in a narrative synthesis.

Results

After analyzing their titles and abstracts according to the eligibility criteria, 21 of 172 (12.2%) papers were included in the review, whereas 151 of 172 papers (87.8%) were excluded for the following reasons: 119 papers (69.1%) were not pertinent to the topic; 19 papers (11.0%) were excluded as these were editorials, letters to the editor, case reports, or methodological papers; 8 papers (4.6%) were excluded because they were not in English; 4 (2.3%) were mini-review, and finally there was 1 duplicated paper (0.5%). In the 21 selected studies, a total number of 29,108 subjects were enrolled (range: 10–11,391; mean/SD: 1,386 ± 2,800), 6,216 were men (21.4%), 22,703 were women (77.9%), and 189 (0.7%) were gender fluid or not declared. The mean age/SD of subjects was 30.2 ± 7.7. About 12 studies (57.1%) were online surveys; 4 (19.0%) were retrospective studies; 2 (9.5%) were qualitative studies; 2 (9.5%) were longitudinal cohort studies, and 1 was a social media survey (4.8%) (Figure 1).

FIGURE 1
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Figure 1. An overview of selection procedures.

The majority of the studies collected data through online platforms (an online survey). We subdivided the retrieved papers according to their main research areas as follows: studies on EDs in the general population; COVID-19 and lockdown consequences in patients with EDs; and key themes for patients with EDs during pandemic.

Eating Spectrum in the General Population

During the COVID-19 pandemic, several studies investigated the prevalence of disturbed eating behaviors and related risk factors for exacerbations of EDs in the general population.

Al-Musharaf (2020) evaluated the impact of the COVID-19 pandemic on emotional eating (EE). Participants (n = 638) completed an online questionnaire including the Arabic version of the “EE scale” (EES) (Saade et al., 2019), the “perceived stress scale” (PSS) (Cohen et al., 1983), the “generalized anxiety disorder-7” (GAD-7) (Spitzer et al., 2006), the “patient health questionnaire-9” (PHQ-9) (Kroenke et al., 2001), the “Pittsburgh sleep quality index” (PSQI) (Buysse et al., 1989), and the “global physical activity questionnaire” (GPAQ) (World Health Organization., 2005). Moderate to high levels of EE were described by 52.8% of the sample. Moreover, 42% of the interviewed subjects reported depressive symptoms, together with high levels of anxiety (27.0%), and severe stress (12.5%). Highly perceived stress, body mass index (BMI), fat intake, the number of meals per day, sugary food consumption, and frequent fast food intake are positively correlated with the EE scores. The authors concluded that EE made an attempt to manage negative emotions during the stressful circumstances of the COVID-19 pandemic.

The study of Ammar et al. (2020) summarized preliminary data from an online survey on a sample of 1,047 participants from Asia, Africa, and Europe. The study was part of a larger survey, which was to assess the “effects of home confinement on multiple lifestyle behaviors during the COVID-19 outbreak (ECLB-COVID-19).” Questions were compared “before” vs. “during” confinement conditions. Changes in physical activity were assessed using the “international physical activity questionnaire short form” (IPAQ-SF) (Craig et al., 2003); dietary behaviors during lockdown were collected with a newly developed crisis-oriented questionnaire, the “short diet behavior questionnaire for lockdowns” (SDBQ-L) (Brach et al., 2020). Participants increased the consumption of unhealthy food, and the frequency of main meals, together with snacking between meals, with a subjective sense of “eating out of control.” The time spent for physical activity decreased under the confinement condition (days/week, 24%; min/day, 33.5%), whereas sedentary behavior (such as the daily sitting time) significantly increased (from 5 to 8 h/day).

One retrospective study investigated the effects of quarantine on BMI and sleep quality in Italian adults (n = 121) (Barrea et al., 2020). Data were collected at baseline, in an obesity outpatient clinic, and after 40 days of quarantine (T1), by telephone interviews, exploring physical activity (30 min/day of aerobic exercise YES/NO), working modalities (smart working YES/NO), and sleep quality (evaluated using the “PSQI”) (Buysse et al., 1989). All participants reported a reduction in physical activity during quarantine. After quarantine, a significant increase in BMI was observed, particularly in normal weight and obesity of grade I, and II subjects. Sleep quality was worsened except for severe obesity (grade III). Smart working negatively influenced sleep quality in all participants, with a greater worsening effect in men.

Elmacıoğlu et al. (2021) performed a retrospective cohort study on a sample of 1,036 volunteers, with the aim to assess the effects of the COVID-19 pandemic on nutritional behaviors and body weight changes of individuals. They found an increase in EE and uncontrolled eating behaviors as assessed with the “revised three factor nutrition questionnaire” (TFEQ-R18) (Karlsson et al., 2000), and found a change in BMI in approximately 35% of the sample.

Flaudias et al. (2020) utilized an online questionnaire administered to French undergraduate students (n = 5,738) 10 days after lockdown declaration. Participants were evaluated using the “10-item social provision scale” (SPS-10) (Cutrona and Russell, 1983), the “hospital anxiety and depression scale” (HADS) (Zigmond and Snaith, 1983), the “PSS” (Cohen et al., 1983), the body dissatisfaction and impulse regulation subscales of the “ED inventory, 2nd edition” (EDI-2) (Garner, 1991), the “sick, control, one, fat, food” (SCOFF) (Garcia et al., 2010), and the “ideal body stereotype scale” (IBSS) (Stice and Agras, 1998). Variables, such as lockdown-related stress, COVID-19-related stress, and media exposure to COVID-19, were also collected. The increased stress related to lockdown, the subjective suffering due to forced social distancing, and the daily routine disruptions were associated with a greater likelihood of reporting both binge eating and dietary restrictions. Moreover, the exposure to COVID-19 media news was associated with more severe binge eating behaviors. As expected, preexisting ED habits were the risk factors for the development of problematic eating behaviors during the COVID-19 pandemic.

Haddad et al. (2020) compared a group of people attending diet clinic for weight loss management (n = 177), and a group of subjects from the general population (n = 228) in Lebanon. People who were attending diet clinics should be the most affected due to disordered eating behaviors or weight and shape concerns, and the authors were interested in comparing the association of quarantine/confinement stressors and diet behaviors between the two groups of participants. The “Lebanese anxiety scale” (LAS) (Hallit et al., 2020), the “short boredom proneness scale” (SBPS) (Struk et al., 2017), the “eating disorder examination-questionnaire” (EDE-Q) (Fairburn and Beglin, 2008), and the anger subscale of the “Buss–Perry scale” (Buss and Perry, 1992) were administered. Approximately 44% of participants described a high fear of COVID-19. Physical exercise during confinement, female gender, BMI, and high anxiety levels were positively associated with higher severity of EDs, both in the clients of a dietician and in the general population. In the clients group of dieticians, the higher was the severity of EDs and the greater was the fear of COVID-19. This finding confirmed that stressful events might worsen altered eating behaviors, especially in vulnerable populations, such as the attendees of diet clinics. Social distancing was associated with shape and weight concerns only in the general population group.

A study by Phillipou et al. (2020) explored changes in eating and exercise behaviors following the official announcement of the COVID pandemic in Australia. They compared the subjects with and without a history of EDs in the general population sample aged >18 years. The main hypothesis of this study stated that subjects with a self-reported history of EDs might report significant changes in their habits more than the subjects without EDs, especially in four behaviors during pandemic, namely: restricting, binge eating, purging, and physical exercise. The study was conducted with a series of 72-h open anonymous online surveys each month and for 1 year, and was part of a larger survey, named as COLLATE (COVID-19 and you: mental health in Australia now survey). Of the original 8,014 individuals who were enrolled in the COLLATE survey, 5,469 completed the eating and exercise behavior section. Subjects with a positive history of EDs were 180, of whom 88 with AN, 23 with BN, 6 with BED, 4 with eating disorder not otherwise specified (ED-NOS), and 68 who did not specify the subtype of EDs. Given the diagnostic distribution, the most robust findings were from the AN subgroup. Indeed, these subjects noted a significant change in their eating and exercise behaviors, with an increase in restricting behaviors (67.1%), in binge eating (20.5%), or in purging (18.2%). Half of the subjects (48.9%) reported increased physical exercise to achieve more control on body shape and caloric intake. The same variables investigated in the subjects with no EDs did not reveal any changes in the amount of food restricted, or on binge eating or purging behaviors. Only the 27.6% of the subjects included in non-ED samples reported an increase in food restriction behaviors. Conversely, 34.6% reported an increase in binge eating spectrum behaviors. One-third of the sample (34.8%) showed an increase in the physical exercise routine, whereas 43.4% reported a decrease and the remaining reported no changes. To summarize, this study provided evidence regarding the worsening of eating spectrum signs, symptoms, and behaviors during pandemic, mainly when a history of EDs was present.

Weight stigma has been considered as a relevant variable in a study conducted on a subsample derived from a longitudinal cohort study, the EAT 2010–2018, and labeled as COVID-19 eating and activity over time study (C-EAT) (Puhl et al., 2020). The main aim of the C-EAT survey was to explore how weight-related health behaviors might change as a result of events related to COVID-19. To explain more in detail, it was considered how high body weight subjects perceived the social stigma linked to obesity during pandemic, and how such stigma contributed to the adoption of unhealthy eating behaviors and a lower physical activity. Individuals who experienced pre-pandemic weight stigma were compared with those who did not, in a sample of young people who were attending secondary school in Minneapolis, St. Paul (MN, USA), in 2009–2010. In agreement with the original assumption, majority of the overall sample reported that COVID-19 negatively affected mood and anxiety levels, raising stress, and exacerbating problems with food intake. The comparison between the two samples (stigma perceived before COVID vs. stigma perceived during COVID) revealed that pre-pandemic experiences of weight stigma predicted higher levels of stress, depressive symptoms, eating to cope with stress, and an increased likelihood of binge eating, during the COVID-19 pandemic. Furthermore, no significant interactions based on gender were found. In summary, young adults who experienced weight stigma before COVID showed increased vulnerability for binge eating and psychological distress during the pandemic. No information regarding other biopsychosocial variables such as the interpersonal environment of subjects or the role of attachment figures was provided.

Changes in caloric food intake were also found in a web-based survey, which was carried out in France during the 1st day of containment due to COVID-19, on more than 11,000 participants (Rolland et al., 2020). Apparently, respondents reported an increase in all evaluated addiction-related habits, including caloric/salty food (28.4%). However, the use/abuse of caloric foods was underrepresented if compared with screen use/abuse (64.6%), or tobacco (35.6%) and cannabis use (31.2%), and more represented than alcohol use (24.8%). Not surprisingly, female gender who were aged <29 years were locked down in a more confined space, were locked down alone, and reported to have current or past psychiatric treatment all were the factors of increased caloric/salty food intake.

Scharmer et al. (2020) investigated the potential relationships between the COVID-19 pandemic, anxiety levels, subjective intolerance of uncertainty, and the risk for ED pathology/compulsive exercise, in a sample of 295 undergraduate women in USA. Subjects were evaluated using the “EDE-Q” (Fairburn and Beglin, 2008; Berg et al., 2012), the “fear of illness evaluation” (FIVE) (Ehrenreich-May, 2020), the “state-trait anxiety inventory-trait subscale” (STAI-T) (Barnes et al., 2002), the “compulsive exercise test” (CET) (Taranis et al., 2011), the “intolerance of uncertainty scale-short form” (IUS) (Nicholas Carleton et al., 2007), and the “Godin leisure-time exercise questionnaire” (GLETQ) (Godin, 2011). They explored the effects of four different variables on EDs and compulsive exercise, namely the levels of anxiety correlated to COVID-19 (“anxiety as a state”), the intolerance to uncertainty correlated to COVID-19 (“intolerance as a state”), the “anxiety levels” as a stable trait, and the “levels of intolerance to uncertainty” as a trait. The results showed that both the state anxiety and the state of intolerance of uncertainty were positively related to EDs but not with compulsive exercise. By contrast, compulsive exercise and EDs were influenced by the intolerance of uncertainty as a trait. Moreover, subjects with lower levels of preexisting COVID-19 anxiety (i.e., anxiety as a trait) were the most negatively affected ones due to anxiety and uncertainty caused by COVID-19, both on ED symptoms and in compulsive exercise. In summary, the authors concluded that stable traits of anxiety and uncertainty were more relevant in worsening EDs and compulsive exercise than the current levels of the same subjective variables.

COVID-19 and Lockdown Consequences in Patients With EDs

An online survey study has been performed on a sample of 74 patients with EDs who have been already followed-up before the COVID-19 outbreak, and re-evaluated during lockdown with the aim to assess psychological and psychopathological factors that might impact on ED symptoms (Baenas et al., 2020). Patients were administered with the ED inventory-2 (Garner, 1991), the yale addiction scale-2 (Gearhardt et al., 2016), the symptom checklist-90 revised (SCL-90-R) (Derogatis, 1994), and the temperament and character inventory revised (TCI-R) (Cloninger et al., 1994). Moreover, patients were interviewed with a semi-structured brief telephone survey on employment status, confinement compliance, affected environment, and the presence of the company during the lockdown. The results of this study were controversial. Thus, the authors concluded that a significant proportion of patients experienced the worsening of ED symptoms, even if this finding was only in 19 patients (25.7%). Majority of the samples (n = 55) did not report a significant variation of their symptoms. However, performing a path analysis, they found a direct effect of the TCI-R dimension “self-directedness” on the worsening of EDs. A limitation of this study was that they compared a total of 32 different dimensions or domains from EDI-2, SCL-90R, YFAS, and TCI-R on a sample of 74 patients and that they did not find significant differences comparing patients who were worsened (n = 19) and patients who were not (n = 55), except for the abovementioned self-directedness.

Branley-Bell and Talbot (2020) collected the data from 80 subjects with current EDs and 49 in recovery with the aim to understand the impact of the COVID-19 pandemic in people with experiences of ED. A mixed-method online survey was developed. Participants completed open-ended questions related to the impact of lockdown and some validated questionnaires to assess mental well-being [short Warwick-Edinburgh mental well-being scale (SWEMWBS)] (Tennant et al., 2007), perceived stress scale (PSS) (Cohen et al., 1983), social support [ENRICHD social support instrument (ESSI)] (Vaglio et al., 2004), perceived control [Shapiro control inventory (SCI)] (Shapiro, 1994), and rumination [rumination response scale for EDs (RRS-ED)] (Cowdrey and Park, 2011). Majority of participants (86.7%) reported that ED symptoms worsened as a result of pandemic. Only two participants reported an improvement in symptoms. As expected, participants with EDs in remission exhibited higher mental well-being, lower perceived stress, higher social support, and perceived control when compared to participants with current ED.

The study of Fernández-Aranda et al. (2020) aimed at evaluating the impact of home confinement, in terms of changes in eating behaviors and symptoms, in a sample of 87 patients with EDs and 34 patients with obesity. Patients with EDs were recruited in centers representative of the public and private sectors of ED treatment services in Barcelona: 55 were suffering from AN, 18 from BN, and 14 from other specified feeding or eating disorders (OSFED), according to diagnostic and statistical manual of mental disorders, fifth edition (DSM-5) criteria. Patients with obesity were recruited at the endocrinology unit of the Clinic Hospital of Barcelona. The authors collected data using the COVID isolation eating scale (CIES), a newly created questionnaire to investigate four different domains: circumstances during the confinement, effects of the confinement on ED symptoms, behavioral, and psychopathological impact of the confinement, and the evaluation of online intervention, considering “before” vs. “after the confinement.” The psychometric properties of the CIES were analyzed, and a factor analysis confirmed the rational structure of the CIES.

In contrast with previous studies, the disordered eating improved in almost all participants during confinement. The impact of COVID-19 pandemic was mixed and varied in the given diagnostic distribution. Surprisingly, patients with AN reported a decrease in ED symptoms and in emotion dysregulation; patients with obesity showed a significant decrease in BMI and in eating symptomatology; and patients with BN and OSFED exhibited no significant changes before and after the confinement. Patients with OSFED deserved special attention: although the changes between pre- and post-confinement did not reach the statistical significance, they reported the highest impairment in psychopathology. This finding highlighted the need to promptly identify the vulnerable subjects that might be more sensitive to adverse events. Concerning the use of telemedicine, patients with AN expressed the greatest dissatisfactions and difficulties with online treatments.

The longitudinal study of Castellini et al. (2020) tested three hypotheses: (1) patients with EDs might represent a more vulnerable population to the effects of the COVID-19 pandemic; (2) a recovery process might be affected by the lockdown circumstances; and (3) the factors preceding pandemic might be associated with the worsening of psychopathology during lockdown. Data from 74 patients were collected using the current DSM-5 diagnosis of AN or BN, attending an individual enhanced cognitive behavioral therapy (Fairburn, 2008) at an outpatient clinic for patients with EDs. A group of 97 healthy controls (HCs) were also enrolled. Both groups were evaluated before lockdown (T1) and during lockdown (T2), while patients with AN and BN were also evaluated at the beginning of the treatment (T0). T0, T1, and T2 assessment included the “brief symptom inventory” (BSI) (Derogatis, 1994), and the “EDE-Q” (Fairburn and Beglin, 2008). At baseline, the “childhood trauma questionnaire-short form” (CTQ-SF) (Bernstein et al., 2003) and the “experiences in close relationships-revised,” (ECR-R) (Fraley et al., 2000) were also administered. Moreover, during lockdown (T2), the “impact of event scale-revised” (IES-R) (Weiss and Marmar, 1997), adapted for the COVID-19 pandemic, was administered. Not surprisingly, patients with EDs were more vulnerable to lockdown effects than those with HC, as confirmed by their increase in pathological eating behaviors (objective binge eating and compensatory physical exercise). Moreover, the ED group reported higher COVID-19-related post-traumatic stress (PTS) symptoms in comparison with the HC group. While comparing baseline to T1, patients with EDs reported an improvement of general psychopathology and ED-specific symptoms, objective binge eating and compensatory physical exercise. Moreover, BMI increased significantly in patients with AN while remaining stable in patients with BN. Comparisons between pre- and post-lockdown (T1–T2) revealed that patients with EDs increased physical exercise during lockdown despite the initial improvement. Some specific differences between diagnostic subgroups emerged: patients with AN reported an improvement in BMI and specific ED psychopathology, whereas patients with BN exhibited an increase of objective binge eating. Despite 10 full remissions and 19 partial remissions at T1, 10 subjects reported a relapse into BN at T2. No significant change was found in the HC group. Interestingly, the main factor of increase in pathological physical exercise was household arguments, while the fear of safety for the loved ones predicted a higher increase in binge eating episodes. Childhood trauma and insecure attachment style resulted in the factors for COVID-19-related PTS symptoms in patients with AN. In conclusion, patients with EDs, and particularly those suffering from BN, were more vulnerable to the impact of lockdown. Indeed, lockdown interfered with a recovery process in terms of relapses into pathological eating behaviors, such as compulsive physical exercise and exacerbations of binge eating. The results seemed to be more controversial in patients with AN as BMI and ED psychopathology constantly improved despite the exacerbation of compulsive exercise.

Changes in help-seeking behaviors from subjects with EDs and their caregivers due to the COVID pandemic were the focus of a retrospective Canadian study that analyzed part of the information collected by the National Eating Information Center (CEDIC). CEDIC was a national non-profit organization that, since 1985, operated toll-free helpline and an instant chat service for patients with EDs (Richardson et al., 2020). The proportion of patients with EDs who called the CEDIC describing dieting/restriction, over-exercising, perfectionism, purging, anxiety, and depression was significantly higher in 2020 than in 2018 and 2019. The most relevant issues in 2020 were related to the difficulties in accessing treatments because of the pandemic, and to an urgent need for support, due to the worsening of symptoms. Subjective feelings of losing control over eating symptoms and behaviors and with significant changes in food intake were also described. Interestingly, there was a significantly higher number of teenagers who contacted CEDIC in 2020 compared to 2018 and 2019 (28.70%; age 15–19 vs. 12.69% in 2018 and 11.22% in 2019), maybe because teenagers were not attending school in person, and had no regular access to their usual support networks and structures (guidance counselors, or teachers).

Schlegl et al. (2020a,b) published two papers based on an online survey for patients with EDs who were interviewed during the COVID-19 pandemic. The first study was carried out in a sample of 55 former female inpatients with BN (age range 17–46 years) (Schlegl et al., 2020a). They were evaluated by a self-developed questionnaire assessing psychological consequences of pandemic, such as the overall impact on ED symptoms and on the quality of life (QoL), the adverse effect on therapies, the incidence of new symptoms, worries regarding infections, relapses, food insecurity or job, general psychopathology, interpersonal conflicts, and healthcare utilization. Enjoyable activities, virtual social contact with friends, and mild physical exercises were also considered to be among the helpful strategies adopted by patients to face pandemic stressful events. In summary, the results were discouraging: more than half of the interviewed patients described a significant worsening of their bulimic symptoms and QoL. They also described the worsening of depressive spectrum signs and symptoms together with general psychopathology levels in around 80% of the cases. Binge eating increased as well as self-induced vomiting, laxative use, and diuretic abuse. A high drive for activity was present in 60% of the sample. Moreover, patients described difficulties with daily routines, especially meals. The worsening of symptoms was also related to the interruption of face-to-face therapies in more than half of patients, with only 20% opting for alternative treatment modalities such as videoconference-based therapies.

The second study was conducted on a sample of 159 former patients with AN (age range 14–62 years), with the same modalities as mentioned in a previous study (Schlegl et al., 2020b). The results were less discouraging. Indeed, even if 70% of patients reported that eating, shape, and weight concerns, driving for physical activity, loneliness, sadness, and inner restlessness increased during pandemic, there was also a subsample of 41 patients (25.8%) describing positive consequences in terms of a reduction in overall symptoms and of an enhancement of subjective responsibility to recover. Moreover, videoconference therapy was used by 26% and telephone contacts was used by 35% of patients.

A two-site online study in USA and the Netherlands recruited subjects with EDs (AN, BN, and BED) via social media, or through emails when they were already enrolled in previous surveys (Termorshuizen et al., 2020). Variables, such as the exposure to the virus, diagnosis in self or relatives, impact of COVID-19 on the health or employment of family members, and level of lockdown, were collected. The impact of the pandemic on EDs was evaluated using a four-point Likert-scale by asking general questions on health subjective perception and specific questions on symptoms, such as binge eating. A seven-point Likert scale was also administered to explore worries about exposure and/or contracting the virus. Finally, a free text item inquired about changes to EDs treatments, including the frequency of treatment sessions and subjective perception of quality of treatments. Patients with AN described mainly fears about the availability of foods chosen for their “special” meals. Moreover, they reported an exacerbation of food restriction. Patients with BN and BED increased binge and purge episodes. Positive effects of the pandemic were described also in this survey on both the interpersonal (greater connection with relatives) and the motivational side. All groups described difficulties in accessing their treatments.

An online survey was conducted in UK on a very small sample of 32 subjects >17 years old with current or previous EDs, enrolled with posts on Twitter (McCombie et al., 2020). Participants were asked to describe their ED status (current/partial recovery/full recovery), and to report on their illness duration. They were evaluated with the “EDE-Q,” the “depression, anxiety, and stress scales-version 21” (DASS-21), and with a six open-ended questions interview, exploring the subjective experience of pandemic. Eating disorder symptoms were described as exacerbated by pandemic, and by the associated changes in lifestyle in 88% of the cases. Physical and psychological isolation, worry about the future, fear around a “return to normal life,” and changes in daily routine were the main topics. Unexpectedly, 72% of participants described a sort of “positive effect of having more space and time for healing and self-care,” and having less pressure to engage in social activities.

Key Themes for Patients With EDs During Pandemic

Three qualitative studies explored the impact of the COVID-19 outbreak and associated lockdown measures on patients with self-reported EDs (Branley-Bell and Talbot, 2020; Brown et al., 2020) or patients with AN and their caregivers (Clark Bryan et al., 2020).

As a consequence of the intense media reports on COVID-19 (the so-called “infodemic”), the levels of anxiety increased, with an exacerbation of the fear of contamination and washing compulsions (Clark Bryan et al., 2020). Some patients revealed that the fear of contamination concerned primarily the health of the elderly and more vulnerable the loved ones rather than themselves (Brown et al., 2020).

The introduction of lockdown measures and social isolation was associated with negative mental health outcomes, sense of loneliness, the tendency to become more focused on food, rumination over food intake, disordered eating behaviors, such as restrictions or binge eating, and compulsive physical exercise (Branley-Bell and Talbot, 2020; Brown et al., 2020; Clark Bryan et al., 2020). Moreover, the imposed functional restrictions disrupted the established daily routines that are needed to be adapted to the uncertainty of a continuously changing environment. Again, patients reported increased anxiety for the need to deconstruct rigid regimens and to adjust them to the current situation (Brown et al., 2020) and experienced reduced motivation for recovery (Branley-Bell and Talbot, 2020; Clark Bryan et al., 2020). This led to the exacerbation of ED symptoms and to the engagement in disordered eating behaviors (Branley-Bell and Talbot, 2020).

Enhanced exposure to triggering contents, such as messages promoting in-house physical exercise or food recipes, and an easy access to extreme content (such as, pro-AN content) was detrimental for most participants (Branley-Bell and Talbot, 2020). Only social support perceived through social media (WhatsApp, etc.) represented a source for reducing the lockdown sense of isolation (Branley-Bell and Talbot, 2020).

Brown et al. (2020) pointed out that lockdown measures might also have a positive effect and lead to recovery, depending on the working and living situation of participants (alone vs. with a family or a partner or friends), and ED progression. Some participants reported increased self-responsibility, intentionality in planning their actions, and increased attempts for a self-management that improved their EDs behaviors.

These studies highlighted the role of the accessibility to professional support as a crucial determinant of mental well-being: patients complained about discrepancies in service provision, premature discharge, and suspension of treatments that increased anxiety, and feelings of being abandoned (Branley-Bell and Talbot, 2020; Brown et al., 2020; Clark Bryan et al., 2020). Although the continuation of treatments through online delivery was described as a positive factor, this was not seen as a “valuable alternative” but just as the “only possibility” (Branley-Bell and Talbot, 2020).

Discussion

The study we selected regarding the effects of the pandemic on eating habits was heterogeneous for sample selection, study design, and outcome measures, leading to inhomogeneous results. However, we found five relevant issues as summarized below.

The Role of Changes in Daily Routines

Patients with EDs experienced during pandemic the worsening of their preoccupation with weight and body shape, due to the difficulties in continuing their compensatory behaviors, including compulsive physical exercise (Castellini et al., 2020; Clark Bryan et al., 2020; Phillipou et al., 2020; Richardson et al., 2020; Schlegl et al., 2020a,b). Disruption in physical activities and routines was relevant also in general population samples or in clinical samples from endocrinology units (Ammar et al., 2020; Barrea et al., 2020; Haddad et al., 2020; Scharmer et al., 2020). As postulated in the “social zeitgeber” hypothesis, unstable, or disrupted daily routines might lead to circadian rhythm instability and, in vulnerable individuals, to mood instability, sleep disorders, and dietary disruptions (Frank et al., 2005, 2008). According to this model, psychosocial factors would interact with chronobiological mechanisms to create and/or facilitate a pathway toward psychopathology.

Restrictions or Difficulties in Healthcare Access

This factor was relevant in the three studies (Brown et al., 2020; Clark Bryan et al., 2020; Termorshuizen et al., 2020). patients with EDs might have unstable physical conditions requiring frequent medical monitoring and lab tests, but in several countries the usual medical services have been converted to the services exclusively dedicated to patients with COVID, thus limiting the access for other medical reasons (Marazziti et al., 2020). Telemedicine check-ups have been proposed as an alternative approach, but monitoring weight changes or vital signs was limited in a long-distance follow-up. Moreover, videoconference-based therapies were adopted by a limited number of subjects as described by Schlegl et al. (2020a).

The Role of Stress and Anxiety

Several studies before pandemic highlighted how patients with EDs might show higher levels of intolerance for uncertainty compared to the general population (Brown et al., 2017). Moreover, routine changes leading to body weight modifications may exacerbate additional concerns in patients with EDs. It is well-known that ED-stereotyped behaviors play a role in controlling anxiety levels and in managing negative emotions (Kesby et al., 2017). We found that uncertainty and anxiety due to pandemic contributed to an increase in subjective discomfort and raised the risk of compulsory eating as a strategy to cope with stress (Flaudias et al., 2020; Puhl et al., 2020). Changes in emotion regulation had also an impact on EE (Al-Musharaf, 2020; Elmacıoğlu et al., 2021). In one study (Baenas et al., 2020), TCI-R self-directedness was found as the only discriminating factor between patients with EDs who did and did not experience the worsening of their symptoms. However, this study was focused on the evaluation of a small sample (n = 74) using 32 different domain/dimensions, which belongs to four different scales.

Social Isolation and Home Confinement

The type of home confinement (with family members, in small places, alone, or with a partner, etc.) modified both subjective well-being and addiction-related habits, including caloric/salty food (Rolland et al., 2020). Moreover, as already noticed, home confinement had negative effects on physical activity (Ammar et al., 2020). Patients with EDs experienced the worsening of their symptoms as a direct consequence of deprivation in relationships with the significant ones, especially when an insecure attachment style was present (Castellini et al., 2020). Only two studies found a “positive” effect of confinement on eating-related styles. Fernández-Aranda et al. (2020) studied on a sample of patients with EDs and subjects with obesity, with several limitations, such as the retrospective design, the wide age range (from 13 to 77 years), and the gender distribution (104 women vs. 17 men). Brown et al. (2020) studied only on 15 subjects who consented to take part in a Skype interview. A third study (McCombie et al., 2020) found non-univocal results, but was conducted on a very small sample (n = 32) recruited with posts on Twitter. One study (Baenas et al., 2020) apparently found a worsening in patients with EDs who are already followed-up before the COVID-19 outbreak and evaluated by phone during a lockdown. The study sample was small (n = 74), and only 19 patients (25.7%) experienced a clinically significant worsening of their symptoms, whereas the majority of the sample (n = 55) did not, raising questions on the validity of such long-distance assessments. Interestingly, this study utilized a path analysis that revealed a direct effect of the TCI-R dimension of self-directedness on the deterioration of ED symptoms during lockdown.

The Problem of EDs in Adolescents and Young Adults

Before pandemic, ~85% of adolescents were unhappy with their body (Ricciardelli and McCabe, 2001), and 50–60% reported “disturbed eating behaviors” (e.g., fasting, taking diet pills or laxatives, vomiting, and binge eating) (Croll et al., 2002; Quick and Byrd-Bredbenner, 2013). Maladaptive eating behaviors in adolescents were associated with depressive symptoms and low self-esteem, before the pandemic (Stice and Whitenton, 2002; Neumark-Sztainer et al., 2006). We were wondering on the “specific” role of COVID-19 and on the relationships between new potential stressors and the worsening/triggering of EDs in adolescents/young adults, considering that there is a lack of evidence on this topic. Thus, the mean age of the studies we found ranged from 19 (Scharmer et al., 2020) to 54 years (Clark Bryan et al., 2020). The study by Puhl et al. (2020) was on secondary school students, enrolled in a 10-year longitudinal cohort study, with a mean age of 24 years in pandemic (Puhl et al., 2020). Only one study reported that the number of teenagers who referred to an anonymous helpline chat for psychological distress (NEDIC) was significantly higher in 2020 than in the previous 2 years (Richardson et al., 2020).

Study limitations

Across studies, the main weaknesses were due to the limited assessment of pre-lockdown ED symptoms and to the absence of comparison groups. Moreover, in some studies, the ED diagnoses were self-reported, and the specific information on disorders was not collected. Participants were mostly recruited online, via social media, resulting in samples being biased toward those who were familiar with the use of technology. However, this choice was unavoidable during the lockdown. The discrepancy in data collection points (the early stage vs. late stage of lockdown) made it difficult to compare the main findings. No studies accounted for attrition rates. Follow-up data were absent for the majority of studies. There were online surveys or retrospective studies (see, for example, Ammar et al., 2020; Fernández-Aranda et al., 2020) in which the variables were compared between pre- vs. post-pandemic. There are only two longitudinal cohort studies (Castellini et al., 2020; Puhl et al., 2020) that compared pre- vs. post-pandemic behaviors or tried to find predictors of negative outcomes during pandemic. As summarized previously, we found the studies that varied in terms of study design, population sample, and with no structured intervention proposed. Finally, 50 different outcome measures or psychological questionnaires were used, raising questions on how to compare findings from such a number of scales. As a consequence, the results of this review must be interpreted with caution due to the abovementioned limitations.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Author Contributions

All authors gave their substantial contributions to conception and design, data acquisition, data analysis, and interpretation. All authors gave contributions in drafting the article or critically revising it for important intellectual content, and gave their final approval of the version to be published. All authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of the work are appropriately investigated and resolved.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Al-Musharaf, S. (2020). Prevalence awend predictors of emotional eating among healthy young saudi women during the COVID-19 pandemic. Nutrients 12, 1–17. doi: 10.3390/nu12102923

PubMed Abstract

Ammar, A., Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., et al. (2020). Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 international online survey. Nutrients 12, 1583. doi: 10.3390/nu12061583

PubMed Abstract | CrossRef Full Text | Google Scholar

Baenas, I., Caravaca-Sanz, E., Granero, R., Sánchez, I., Riesco, N., Testa, G., et al. (2020). COVID-19 and eating disorders during confinement: analysis of factors associated with resilience and aggravation of symptoms. Eur. Eat. Disord. Rev. 28, 855–863. doi: 10.1002/erv.2771

PubMed Abstract | CrossRef Full Text | Google Scholar

Barnes, L. L. B., Harp, D., and Jung, W. S. (2002). Reliability generalization of scores on the Spielberger state-trait anxiety inventory. Educ. Psychol. Meas. 62, 603–618. doi: 10.1177/0013164402062004005

CrossRef Full Text | Google Scholar

Barney, A., Buckelew, S., Mesheriakova, V., and Raymond-Flesch, M. (2020). The COVID-19 pandemic and rapid implementation of adolescent and young adult telemedicine: challenges and opportunities for innovation. J. Adolesc. Health 67, 164–171. doi: 10.1016/j.jadohealth.2020.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Barrea, L., Pugliese, G., Framondi, L., Di Matteo, R., Laudisio, D., Savastano, S., et al. (2020). Does SARS-Cov-2 threaten our dreams? Effect of quarantine on sleep quality and body mass index. J. Transl. Med. 18, 318. doi: 10.1186/s12967-020-02465-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Berg, K. C., Peterson, C. B., Frazier, P., and Crow, S. J. (2012). Psychometric evaluation of the eating disorder examination and eating disorder examination-questionnaire: a systematic review of the literature. Int. J. Eat. Disord. 45, 428–438. doi: 10.1002/eat.20931

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., Ahluvalia, T., et al. (2003). Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse Neglect 27, 169–190. doi: 10.1016/S0145-2134(02)00541-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., Bouaziz, B., et al. (2020). Effects of COVID-19 home confinement on physical activity and eating behaviour preliminary results of the ECLB-COVID19 international online-survey. MedRxiv 2020.05.04.20072447. doi: 10.1101/2020.05.04.20072447

CrossRef Full Text | Google Scholar

Branley-Bell, D., and Talbot, C. V. (2020). Exploring the impact of the COVID-19 pandemic and UK lockdown on individuals with experience of eating disorders. J. Eat. Disord. 8, 1–12. doi: 10.1186/s40337-020-00319-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, M., Robinson, L., Campione, G. C., Wuensch, K., Hildebrandt, T., and Micali, N. (2017). Intolerance of uncertainty in eating disorders: a systematic review and meta-analysis. Eur. Eat. Disord. Rev. 25, 329–343. doi: 10.1002/erv.2523

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, S. M., Opitz, M. C., Peebles, A. I., Sharpe, H., Duffy, F., and Newman, E. (2020). A qualitative exploration of the impact of COVID-19 on individuals with eating disorders in the UK. Appetite 156, 104977. doi: 10.1016/j.appet.2020.104977

PubMed Abstract | CrossRef Full Text | Google Scholar

Buss, A. H., and Perry, M. (1992). The aggression questionnaire. J. Pers. Soc. Psychol. 63, 452–459. doi: 10.1037//0022-3514.63.3.452

PubMed Abstract | CrossRef Full Text | Google Scholar

Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., and Kupfer, D. J. (1989). The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 28, 193–213. doi: 10.1016/0165-1781(89)90047-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Castellini, G., Cassioli, E., Rossi, E., Innocenti, M., Gironi, V., Sanfilippo, G., et al. (2020). The impact of COVID-19 epidemic on eating disorders: a longitudinal observation of pre versus post psychopathological features in a sample of patients with eating disorders and a group of healthy controls. Int. J. Eat. Disord. 53, 1855–1862. doi: 10.1002/eat.23368

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark Bryan, D., Macdonald, P., Ambwani, S., Cardi, V., Rowlands, K., Willmott, D., et al. (2020). Exploring the ways in which COVID-19 and lockdown has affected the lives of adult patients with anorexia nervosa and their carers. Eur. Eat. Disord. Rev. 28, 826–835. doi: 10.1002/erv.2762

PubMed Abstract | CrossRef Full Text | Google Scholar

Cloninger, R., Przybeck, T., Svrakic, D., and Wetzel, R. (1994). TCI-The Temperament and Character Inventory (TCI): A Guide to its Development and Use. Available online at: http://www.researchgate.net/publication/264329741

Google Scholar

Cohen, S., Kamarck, T., and Mermelstein, R. (1983). A global measure of perceived stress. J. Health Soc. Behav. 24, 385–396. doi: 10.2307/2136404

CrossRef Full Text | Google Scholar

Conversano, C., Marchi, L., and Miniati, M. (2020). Psychological distress among healthcare professionals involved in the COVID-19 emergency: vulnerability and resilience factors. Clin. Neuropsychiatry 17, 94–96. doi: 10.36131/CN20200212

CrossRef Full Text | Google Scholar

Cowdrey, F. A., and Park, R. J. (2011). Assessing rumination in eating disorders: principal component analysis of a minimally modified ruminative response scale. Eat. Behav. 12, 321–324. doi: 10.1016/j.eatbeh.2011.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Craig, C. L., Marshall, A. L., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., et al. (2003). International physical activity questionnaire: 12-country reliability and validity. Med. Sci. Sports Exerc. 35, 1381–1395. doi: 10.1249/01.MSS.0000078924.61453.FB

PubMed Abstract | CrossRef Full Text | Google Scholar

Croll, J., Neumark-Sztainer, D., Story, M., and Ireland, M. (2002). Prevalence and risk and protective factors related to disordered eating behaviors among adolescents: relationship to gender and ethnicity. J. Adolesc. Health 31, 166–175. doi: 10.1016/S1054-139X(02)00368-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Cutrona, C., and Russell, D. W. (1983). “The provisions of social relationships and adaptation to stress,” in Advances in Personal Relationships, eds W. H. Jones and D. Perlman (Greenwich, CT: JAI Press), 37–67.

Google Scholar

Derogatis, L. R. (1994). SCL-90-R: Administration, Scoring and Procedures Manual, 3rd Edn. Minneapolis, MN: National Computer Systems, Inc. doi: 10.1017/S0033291700048017

CrossRef Full Text | Google Scholar

Ehrenreich-May, J. (2020). Fear of Illness and Virus Evaluation Scale - Adult Form. Available online at: Available online at: https://adaa.org/sites/default/files/UofMiamiFear%20of%20Illness%20and%20Virus%20Evaluation%20_(FIVE)%20scales%20for%20Child-%2C%20Parent-%20and%20Adult-Report.pdf

Elmacıoğlu, F., Emiroğlu, E., Ülker, M. T., Özyılmaz Kırcali, B., and Oruç, S. (2021). Evaluation of nutritional behaviour related to COVID-19. Public Health Nutr. 24, 512–518. doi: 10.1017/S1368980020004140

PubMed Abstract | CrossRef Full Text | Google Scholar

Fairburn, C. G. (2008). Cognitive Behavior Therapy and Eating Disorders. New York, NY: Guilford Press.

Google Scholar

Fairburn, C. G., and Beglin, S. (2008). Eating Disorder Examination Questionnaire (EDE-Q). New York: Guilford Press.

Google Scholar

Fernández-Aranda, F., Munguía, L., Mestre-Bach, G., Steward, T., Etxandi, M., Baenas, I., et al. (2020). COVID Isolation Eating Scale (CIES): analysis of the impact of confinement in eating disorders and obesity—a collaborative international study. Eur. Eat. Disord. Rev. 28, 871–883. doi: 10.1002/erv.2784

PubMed Abstract | CrossRef Full Text | Google Scholar

Flaudias, V., Iceta, S., Zerhouni, O., Rodgers, R. F., Billieux, J., Llorca, P.-M., et al. (2020). COVID-19 pandemic lockdown and problematic eating behaviors in a student population. J. Behav. Addict. 9, 826–835. doi: 10.1556/2006.2020.00053

PubMed Abstract | CrossRef Full Text | Google Scholar

Fraley, R., Waller, N., and Brennan, K. (2000). An item response theory analysis of self-report measures of adult attachment. J. Pers. Soc. Psychol. 78, 350–365. doi: 10.1037//0022-3514.78.2.350

PubMed Abstract | CrossRef Full Text | Google Scholar

Frank, E., Kupfer, D. J., Thase, M. E., Mallinger, A. G., Swartz, H. A., Fagiolini, A. M., et al. (2005). Two-year outcomes for interpersonal and social rhythm therapy in individuals with bipolar I disorder. Arch. Gen. Psychiatry 62, 996–1004. doi: 10.1001/archpsyc.62.9.996

PubMed Abstract | CrossRef Full Text | Google Scholar

Frank, E., Soreca, I., Swartz, H. A., Fagiolini, A. M., Mallinger, A. G., Thase, M. E., et al. (2008). The role of interpersonal and social rhythm therapy in improving occupational functioning in patients with bipolar I disorder. Am. J. Psychiatry 165, 1559–1565. doi: 10.1176/appi.ajp.2008.07121953

PubMed Abstract | CrossRef Full Text | Google Scholar

Garcia, F. D., Grigioni, S., Chelali, S., Meyrignac, G., Thibaut, F., and Dechelotte, P. (2010). Validation of the French version of SCOFF questionnaire for screening of eating disorders among adults. World J. Biol. Psychiatry 11, 888–893. doi: 10.3109/15622975.2010.483251

PubMed Abstract | CrossRef Full Text | Google Scholar

Garner, D. (1991). Eating Disorder Inventory-2: Professional Manual. Odessa, FL: Psychological Assessment Resources.

Google Scholar

Gearhardt, A. N., Corbin, W. R., and Brownell, K. D. (2016). Development of the yale food addiction scale version 2.0. Psychol. Addict. Behav. 30, 113–121. doi: 10.1037/adb0000136

PubMed Abstract | CrossRef Full Text | Google Scholar

Godin, G. (2011). The Godin-Shephard leisure-time physical activity questionnaire. Health Fitness J. Canada 4, 18–22. doi: 10.14288/hfjc.v4i1.82

PubMed Abstract | CrossRef Full Text | Google Scholar

Haddad, C., Zakhour, M., Bou Kheir, M., Haddad, R., Al Hachach, M., Sacre, H., et al. (2020). Association between eating behavior and quarantine/confinement stressors during the coronavirus disease 2019 outbreak. J. Eat. Disord. 8, 40. doi: 10.1186/s40337-020-00317-0

PubMed Abstract | CrossRef Full Text

Hallit, S., Obeid, S., Haddad, C., Hallit, R., Akel, M., Haddad, G., et al. (2020). Construction of the Lebanese Anxiety Scale (LAS-10): a new scale to assess anxiety in adult patients. Int. J. Psychiatry Clin. Pract. 24, 270–277. doi: 10.1080/13651501.2020.1744662

PubMed Abstract | CrossRef Full Text | Google Scholar

Hensley. (2020). Why the Coronavirus Pandemic is Triggering Those With Eating Disorders – National. Globalnews.ca. Available online at: https://globalnews.ca/news/6735525/eating-disorder-coronavirus/ (accessed January 8, 2021).

Karlsson, J., Persson, L. O., Sjostrom, L., and Sullivan, M. (2000). Psychometric properties and factor structure of the Three-Factor Eating Questionnaire (TFEQ) in obese men and women. Results from the Swedish Obese Subjects (SOS) study. Int. J. Obes. Relat. Metab. Disord. 24, 1715–1725. doi: 10.1038/sj.ijo.0801442

PubMed Abstract | CrossRef Full Text | Google Scholar

Kesby, A., Maguire, S., Brownlow, R., and Grisham, J. R. (2017). Intolerance of uncertainty in eating disorders: an update on the field. Clin. Psychol. Rev. 56, 94–105. doi: 10.1016/j.cpr.2017.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Kroenke, K., Spitzer, R. L., and Williams, J. B. W. (2001). The PHQ-9: validity of a brief depression severity measure. J. Gen. Intern. Med. 16, 606–613. doi: 10.1046/j.1525-1497.2001.016009606.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Marazziti, D., Pozza, A., Di Giuseppe, M., and Conversano, C. (2020). The psychosocial impact of COVID-19 pandemic in Italy: a lesson for mental health prevention in the first severely hit European country. Psychol. Trauma Theory Res. Pract. Policy 12, 531–533. doi: 10.1037/tra0000687

PubMed Abstract | CrossRef Full Text | Google Scholar

McCombie, C., Austin, A., Dalton, B., Lawrence, V., and Schmidt, U. (2020). “Now it’s just old habits and misery”–understanding the impact of the covid-19 pandemic on people with current or life-time eating disorders: a qualitative study. Front. Psychiatry 11, 589225. doi: 10.3389/fpsyt.2020.589225

PubMed Abstract | CrossRef Full Text | Google Scholar

McMenemy. (2020). Coronavirus and Eating Disorders: “I Feel Selfish Buying Food” - BBC News. Available online at: https://www.bbc.com/news/uk-england-51962964 (accessed: January 8, 2021).

Miniati, M., and Marazziti, D. (2019). Psychopharmacological options for adult patients with anorexia nervosa: the patients’ and carers’ perspectives integrated by the spectrum model. CNS Spectrums 24, 225–226. doi: 10.1017/S1092852917000700

PubMed Abstract | CrossRef Full Text | Google Scholar

Moher, D., Liberati, A., Tetzlaff, J., and Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 6:e1000097. doi: 10.1371/journal.pmed.1000097

PubMed Abstract | CrossRef Full Text | Google Scholar

Neumark-Sztainer, D., Wall, M., Guo, J., Story, M., Haines, J., and Eisenberg, M. (2006). Obesity, disordered eating, and eating disorders in a longitudinal study of adolescents: how do dieters fare 5 years later? J. Amer. Diet. Assoc. 106, 559–568. doi: 10.1016/j.jada.2006.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Nicholas Carleton, R., Sharpe, D., and Asmundson, G. J. G. (2007). Anxiety sensitivity and intolerance of uncertainty: requisites of the fundamental fears? Behav. Res. Ther. 45, 2307–2316. doi: 10.1016/j.brat.2007.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Orrù, G., Marzetti, F., Conversano, C., Vagheggini, G., Miccoli, M., Ciacchini, R., et al. (2021). Secondary traumatic stress and burnout in healthcare workers during COVID-19 outbreak. Int. J. Environ. Res. Publ. Health 18, 337. doi: 10.3390/ijerph18010337

PubMed Abstract | CrossRef Full Text | Google Scholar

Phillipou, A., Meyer, D., Neill, E., Tan, E. J., Toh, W. L., Van Rheenen, T. E., et al. (2020). Eating and exercise behaviors in eating disorders and the general population during the COVID-19 pandemic in Australia: initial results from the COLLATE project. Int. J. Eat. Disord. 53, 1158–1165. doi: 10.1002/eat.23317

PubMed Abstract | CrossRef Full Text | Google Scholar

Poli, A., Gemignani, A., and Conversano, C. (2020). The psychological impact of Sars-Cov-2 quarantine: OBSERVATIONS through the lens of the polyvagal theory. Clin. Neuropsychiatry 17, 112–114. doi: 10.36131/CN20200216

CrossRef Full Text | Google Scholar

Puhl, R. M., Lessard, L. M., Larson, N., Eisenberg, M. E., and Neumark-Stzainer, D. (2020). Weight stigma as a predictor of distress and maladaptive eating behaviors during COVID-19: longitudinal findings from the EAT study. Ann. Behav. Med. Publ. Soc. Behav. Med. 54, 738–746. doi: 10.1093/abm/kaaa077

PubMed Abstract | CrossRef Full Text | Google Scholar

Quick, V. M., and Byrd-Bredbenner, C. (2013). Disturbed eating behaviours and associated psychographic characteristics of college students. J. Hum. Nutr. Diet. 26, 53–63. doi: 10.1111/jhn.12060

PubMed Abstract | CrossRef Full Text | Google Scholar

Ricciardelli, L. A., and McCabe, M. P. (2001). Children’s body image concerns and eating disturbance: a review of the literature. Clin. Psychol. Rev. 21, 325–344. doi: 10.1016/S0272-7358(99)00051-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Richardson, C., Patton, M., Phillips, S., and Paslakis, G. (2020). The impact of the COVID-19 pandemic on help-seeking behaviors in individuals suffering from eating disorders and their caregivers. Gen. Hosp. Psychiatry 67, 136–140. doi: 10.1016/j.genhosppsych.2020.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Rolland, B., Haesebaert, F., Zante, E., Benyamina, A., Haesebaert, J., and Franck, N. (2020). Global changes and factors of increase in caloric/salty food intake, screen use, and substance use during the early COVID-19 containment phase in the general population in France: survey study. JMIR Publ. Health Surveill. 6, e19630. doi: 10.2196/19630

PubMed Abstract | CrossRef Full Text | Google Scholar

Saade, S., Hallit, S., Haddad, C., Hallit, R., Akel, M., Honein, K., et al. (2019). Factors associated with restrained eating and validation of the Arabic version of the restrained eating scale among an adult representative sample of the Lebanese population: a cross-sectional study. J. Eat. Disord. 7, 24. doi: 10.1186/s40337-019-0254-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Schardt, C., Adams, M. B., Owens, T., Keitz, S., and Fontelo, P. (2007). Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med. Inform. Decis. Mak. 7, 16. doi: 10.1186/1472-6947-7-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Scharmer, C., Martinez, K., Gorrell, S., Reilly, E. E., Donahue, J. M., and Anderson, D. A. (2020). Eating disorder pathology and compulsive exercise during the COVID-19 public health emergency: examining risk associated with COVID-19 anxiety and intolerance of uncertainty. Int. J. Eat. Disord. 53, 2049–2054. doi: 10.1002/eat.23395

PubMed Abstract | CrossRef Full Text | Google Scholar

Schlegl, S., Maier, J., Meule, A., and Voderholzer, U. (2020a). Eating disorders in times of the COVID-19 pandemic—Results from an online survey of patients with anorexia nervosa. Int. J. Eat. Disord. 53, 1791–1800. doi: 10.1002/eat.23374

PubMed Abstract | CrossRef Full Text | Google Scholar

Schlegl, S., Meule, A., Favreau, M., and Voderholzer, U. (2020b). Bulimia nervosa in times of the COVID-19 pandemic—results from an online survey of former inpatients. Eur. Eat. Disord. Rev. 28, 847–854. doi: 10.1002/erv.2773

PubMed Abstract | CrossRef Full Text | Google Scholar

Shapiro, D. H. (1994). Shapiro Control Inventory (SCI) Manual | Control Research. Available online at: http://controlresearch.net/shapiro-control-inventory-manual.html

Spitzer, R. L., Kroenke, K., Williams, J. B. W., and Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch. Int. Med. 166, 1092–1097. doi: 10.1001/archinte.166.10.1092

PubMed Abstract | CrossRef Full Text | Google Scholar

Stice, E., and Agras, W. S. (1998). Predicting onset and cessation of bulimic behaviors during adolescence: a longitudinal grouping analysis. Behav. Ther. 29, 257–276. doi: 10.1016/S0005-7894(98)80006-3

CrossRef Full Text | Google Scholar

Stice, E., and Whitenton, K. (2002). Risk factors for body dissatisfaction in adolescent girls: a longitudinal investigation. Dev. Psychol. 38, 669–678. doi: 10.1037/0012-1649.38.5.669

PubMed Abstract | CrossRef Full Text | Google Scholar

Struk, A. A., Carriere, J. S. A., Cheyne, J. A., and Danckert, J. (2017). A short boredom proneness scale: development and psychometric properties. Assessment 24, 346–359. doi: 10.1177/1073191115609996

PubMed Abstract | CrossRef Full Text | Google Scholar

Taranis, L., Touyz, S., and Meyer, C. (2011). Disordered eating and exercise: development and preliminary validation of the compulsive exercise test (CET). Eur. Eat. Disord. Rev. 19, 256–268. doi: 10.1002/erv.1108

PubMed Abstract | CrossRef Full Text | Google Scholar

Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., et al. (2007). The Warwick-Dinburgh mental well-being scale (WEMWBS): Development and UK validation. Health Qual. Life Outcomes 5, 63. doi: 10.1186/1477-7525-5-63

PubMed Abstract | CrossRef Full Text | Google Scholar

Termorshuizen, J. D., Watson, H. J., Thornton, L. M., Borg, S., Flatt, R. E., Macdermod, C. M., et al. (2020). Early impact of covid-19 on individuals with eating disorders: a survey of ~1000 individuals in the United States and the Netherlands. MedRxiv 2020.05.28.20116301. doi: 10.1101/2020.05.28.20116301

PubMed Abstract | CrossRef Full Text | Google Scholar

Touyz, S., Lacey, H., and Hay, P. (2020). Eating disorders in the time of COVID-19. J. Eat. Disord. 8, 19. doi: 10.1186/s40337-020-00295-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaglio, J., Conard, M., Poston, W. S., O’Keefe, J., Haddock, C. K., House, J., et al. (2004). Testing the performance of the ENRICHD social support instrument in cardiac patients. Health Qual. Life Outcomes 2, 24. doi: 10.1186/1477-7525-2-24

PubMed Abstract | CrossRef Full Text | Google Scholar

Weiss, D. S., and Marmar, C. R. (1997). “The impact of event scale-revised,” in Assessing Psychological Trauma and PTSD: A Practitioner’s Handbook, eds J. P. Wilson and T. M. Keane (New York: Guilford Press), 399–411.

Weissman, R. S., Bauer, S., and Thomas, J. J. (2020). Access to evidence-based care for eating disorders during the COVID-19 crisis. Int. J. Eat. Disord. 53, 369–376. doi: 10.1002/eat.23279

PubMed Abstract | CrossRef Full Text | Google Scholar

World Health Organization. (2005). Global Physical Activity Questionnaire Analysis Guide GPAQ Analysis Guide Global Physical Activity Questionnaire (GPAQ) Analysis Guide. Available online at: http://www.who.int/chp/steps/GPAQ/en/index.html

Zigmond, A. S., and Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatr. Scand. 67, 361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: SARS-COV2 disease, COVID-19, pandemic, eating disorders spectrum, bulimia nervosa, anorexia nervosa, binge eating disorder

Citation: Miniati M, Marzetti F, Palagini L, Marazziti D, Orrù G, Conversano C and Gemignani A (2021) Eating Disorders Spectrum During the COVID Pandemic: A Systematic Review. Front. Psychol. 12:663376. doi: 10.3389/fpsyg.2021.663376

Received: 02 February 2021; Accepted: 26 August 2021;
Published: 29 September 2021.

Edited by:

Antoine Bechara, University of Southern California, United States

Reviewed by:

Letizia Cecconi, Azienda USL Toscana Nord Ovest, Italy
Alice Cerboneschi, Azienda USL Toscana Nord Ovest, Italy

Copyright © 2021 Miniati, Marzetti, Palagini, Marazziti, Orrù, Conversano and Gemignani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Mario Miniati, bWFyaW8ubWluaWF0aSYjeDAwMDQwO21lZC51bmlwaS5pdA==

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