- Open Access
Conceptualizing eating disorder recovery research: Current perspectives and future research directions
Journal of Eating Disorders volume 10, Article number: 165 (2022)
How we research eating disorder (ED) recovery impacts what we know (perceive as fact) about it. Traditionally, research has focused more on the “what” of recovery (e.g., establishing criteria for recovery, reaching consensus definitions) than the “how” of recovery research (e.g., type of methodologies, triangulation of perspectives). In this paper we aim to provide an overview of the ED field’s current perspectives on recovery, discuss how our methodologies shape what is known about recovery, and suggest a broadening of our methodological “toolkits” in order to form a more complete picture of recovery.
This paper examines commonly used methodologies in research, and explores how incorporating different perspectives can add to our understanding of the recovery process. To do this, we (1) provide an overview of commonly used methodologies (quantitative, qualitative), (2) consider their benefits and limitations, (3) explore newer approaches, including mixed-methods, creative methods (e.g., Photovoice, digital storytelling), and multi-methods (e.g., quantitative, qualitative, creative methods, psycho/physiological, behavioral, laboratory, online observations), and (4) suggest that broadening our methodological “toolkits” could spur more nuanced and specific insights about ED recoveries. We propose a potential future research model that would ideally have a multi-methods design, incorporate different perspectives (e.g., expanding recruitment of diverse participants, including supportive others, in study co-creation), and a longitudinal course (e.g., capturing cognitive and emotional recovery, which often comes after physical). In this way, we hope to move the field towards different, more comprehensive, perspectives on ED recovery.
Our current perspectives on studying ED recovery leave critical gaps in our knowledge about the process. The traditional research methodologies impact our conceptualization of recovery definitions, and in turn limit our understanding of the phenomenon. We suggest that we expand our range of methodologies, perspectives, and timeframes in research, in order to form a more complete picture of what is possible in recovery; the multiple aspects of an individual’s life that can improve, the greater number of people who can recover than previously believed, and the reaffirmation of hope that, even after decades, individuals can begin, and successfully continue, their ED recovery process.
Plain English summary
How we research eating disorder (ED) recovery impacts what we know (perceive as fact) about it. In this paper we aim to provide an overview of the ED field’s current perspectives on recovery, discuss how our methodologies shape what is known about recovery, and suggest a broadening of our methodological “toolkits” in order to form a more complete picture of recovery. To do this, we (1) provide an overview of commonly used methodologies (quantitative, qualitative), (2) consider their benefits and limitations, (3) explore newer approaches, including mixed-methods, creative methods (e.g., Photovoice, digital storytelling), and multi-methods (e.g., quantitative, qualitative, creative methods, psycho/physiological, behavioral, laboratory, online observations), and (4) propose a potential future research model with a multi-methods design, incorporating different perspectives (e.g., increasing recruitment of diverse participants, including supportive others in study co-creation), and a longitudinal course (e.g., capturing cognitive recovery, which often comes after physical). In this way, we seek to expand our picture of what is possible in recovery; the multiple aspects of an individual’s life that can improve, the greater number of people who can recover than previously believed, and the reaffirmation of hope that, even after decades, individuals can begin and continue their ED recovery process.
How we research the process of eating disorder (ED) recovery impacts what we know (perceive as fact) about this process. Traditionally, research has focused more on the “what” of recovery (e.g., establishing criteria for recovery, connecting research and clinical experiences, reaching consensus definitions) than the “how” of recovery research (e.g., timing and framing of ED recovery items and measures, type of methodologies, triangulation of perspectives). Given that our “ways of looking” are inextricably tied to what we are looking at  it is important to step back and investigate how research methods shape what we can know about a phenomenon of interest. This exploration can offer insight into missing pieces of the analytic puzzle (e.g., the current gaps in our knowledge), and invite novel ways of researching ED recovery (e.g., incorporating different perspectives).
ED recovery research that is published in peer-reviewed journals most frequently uses quantitative (numerical, “objective”)Footnote 1 statistical methods, or qualitative (descriptive, “subjective”) interview methods, in order to convey their findings. In this paper, we provide an overview of commonly used methods and outline key analytic features of various types of analyses that fit within these broader method categories. We also present an examination of these commonly used methods, reflecting on the benefits and limitations of each, and what each allows us to know, or not know, about ED recovery. Following this overview, we explore mixed-methods (quantitative and qualitative), creative methods (e.g., Photovoice, digital storytelling), and multi-methods (e.g., quantitative, qualitative, creative methods, psycho/physiological, behavioral, laboratory, online observations), which may provide directions for future research, and enable new understandings of ED recovery.
Importantly, we are not suggesting that researchers abandon these commonly used quantitative or qualitative methods or that one approach is inherently better than others. Rather, we are recommending a broadening of our methodological “toolkits,” to increase the clarity of purpose of our studies, along with an alignment of the methods used. This may enable the development of more nuanced and specific insights about ED recoveries that take into account context, varied perspectives, and different positionalities. In this paper we thus aim to provide an overview of the ED field’s current perspectives on recovery, illuminate how those perspectives are necessarily informed by our methodological choices, and recommend broadening our methodological “toolkits” in order to form a more complete picture about what can be known as possible in recovery.
Ontological and epistemological stances in ED recovery research
The goal or purpose of ED recovery research depends largely on the ontological (the “what” of research) and the epistemological (the “how” of research) stances endorsed by the researcher [2, 3]. This is often considered to be foundational in qualitative research, but is less frequently named in quantitative approaches. We give a brief overview of these stances here, because how a researcher views the world will inevitably impact the goal of the research and the methodological approaches used. In this way, we cannot present a discussion of recovery methodologies without also considering ontology and epistemology.
Ontological stance refers to what we believe can be known [4, 5]. From a realist perspective, there is a single objective truth which exists . On the other side, a relativist perspective suggests that there is no singular reality outside of human practices . Researchers can therefore vary along this spectrum in terms of their assumptions about what knowledge exists.
Epistemology refers to how we can come to know this information . For example, positivism argues that we can come to understand or know an objective reality through rigorous scientific practices [9, 10]. This is the foundation of the scientific approach and what has often been referred to as the “hard sciences.” Recently, there has been a shift in which individuals from this perspective acknowledge that data collection and interpretation may be imperfect and influenced by researcher characteristics; what is now known as post-positivism .
Many of the quantitative approaches that will be discussed in this paper come from a post-positivist framework in that they assume there is an objective recovery “truth” that can be uncovered if we are rigorous in our approach and seek to minimize bias. On the other side, there are contextualist  and constructionist  epistemologies. Contextualism situates knowledge and the people who create it (e.g., participants, researchers) in a broader context, acknowledging that no one person can know everything. Constructionism argues that meaning is multiple, socially-constructed, and connected to wider systems of power. In this way, there is no one definition or understanding of a phenomenon.
The ontological/epistemological stance and research assumptions that dictate the approaches we take in turn inform debates on recovery. Those coming from different traditions will thus have different views of what can be known about the phenomenon. For example, the frames of (post)positivism typically underlie quantitative research, and researchers coming from this perspective have long been calling for a clear, consistent, and applicable definition of recovery (e.g., [14,15,16,17]). However, no overall consensus definition has been reached to date, which has several implications from a (post)positivist perspective. This lack of conceptual clarity, and between-study differences in measurement approaches, impact our ability to compare the findings between studies, including reported recovery rates, which can vary dramatically, depending upon the definitions and clinical groups used (e.g., [14, 15, 18, 19]).
The belief that there is a need for a singular definition is one way of understanding the utility of recovery and may be useful for some groups. The intent of our paper, though, is not to provide a statement about what a consensus definition might be. Rather, we are offering a more diverse view of methodological perspectives (which stem from various ontological and epistemological stances) and ideas that might allow for forward movement in the field. In a dialectal format, this can involve both movement toward and away from consensus, including perspectives which do not seek to identify a single recovery definition. These paths are sometimes polarized, indicating that research aiming for (provisional) consensus is incompatible with research pushing into new areas. We suggest that both can be simultaneously pursued, acknowledging that one does not discount the other.
ED recovery research approaches: A brief overview
Quantitative research stemming from (post)positivist perspectives has tended to emphasize “objective” illness and recovery criteria that can be measured and compared in the lab/treatment, such as body mass index (BMI) (e.g., ), and behavioral/cognitive symptoms (e.g., [21, 22]). For example, scores of validated ED measures such as the Eating Attitudes Test (EAT)  are frequently subdivided into “threshold” (criteria met for a probable clinical diagnosis) or “subthreshold” (diagnostic criteria unlikely to be met). Changes in measurable physical, behavioral, and symptomatic criteria are characteristic of the medical model of recovery, with a growing body of research suggesting that such approaches may not fit as well with lived experience perspectives [24, 25].
In a systematic review of 126 studies looking at predictors of ED outcomes , symptom remission was used as a key outcome in over 80% of studies. This may differ from the “process” recovery criteria typically used in clinical settings, where the individual’s progress in therapy (e.g., how they navigate their recovery, showing improvements in not only symptoms, but also psychosocial functioning) may affect the extent to which they are deemed “recovered.”
A key element of these different definitions hinges on the extent to which symptom remission is considered an important first step in recovery. This point has often been promoted as self-evident, but is inconsistent with some orientations to recovery. For instance, a recovery model orientation, which has been noted to be potentially resonant with EDs (e.g., ) starts with an emphasis on a person’s goals and contexts, rather than assuming that symptom remission is a first step. This does not mean that “anything goes"; a recovery model promotes collaboration and discussion in exploring what recovery means and does for the person seeking it [28, 29].
More recently, researchers have suggested that in alignment with this recovery model, it may be possible to continue to exhibit some symptoms (e.g., behaviors), but have improvement in other areas (e.g., improved psychosocial functioning, QOL), and still feel that one is in ED recovery (e.g., [27, 29,30,31,32,33,34,35]). ED advocacy groups led by people with lived experience are also beginning to support approaches to harm reduction within ED recovery circles, such as those promoted by Nalgona Positivity Pride. Indeed, there are now several ED-specific, standardized measures of functioning and QOL that can provide more insight in this area, including the Eating Disorders Quality of Life (EDQOL) , Quality of Life for Eating Disorders (QOL ED) , Health-Related Quality of Life in Eating Disorders Questionnaire (HeRQoLED) , Eating Disorders Quality of Life Scale (EDQLS) , and, more recently, the Eating Disorders Recovery Questionnaire (EDRQ) . In addition to assessing QOL from a quantitative perspective, QOL can also be explored qualitatively, allowing it to be contextualized against the landscape of participants’ lives.
What is considered to “matter” in ED recovery definitions thus far also differs to some extent according to who is asked. Researchers, clinicians, and people with lived experience (individuals and supportive others such as parents, family, partners, friends, mentors) may emphasize different criteria for ED recovery . Further, these categories are not distinct; people may simultaneously occupy multiple positionalities at once, such as researchers and/or clinicians who also have lived experience of ED. While a consensus definition among clinicians is arguably becoming a more plausible goal , there may still be significant divergence of opinion between the larger clinical, research, and lived experience spaces . Nevertheless, Bachner-Melman et al.  also found a broad area of overlap in the perspectives of people with lived experience of an ED, family members, and ED therapists, on what recovery encompasses. They proposed a questionnaire to measure four aspects of ED recovery that were agreed on by these overlapping perspectives: lack of symptoms, acceptance of self and body, social and emotional connection, and physical health .
Lived experience, including personally having lived with an ED, as well as being a “support” for someone with an ED (e.g., parents, family, partners, friends, mentors), necessarily informs a particular person’s ED recovery definition and provides an additional lens on the same construct. Thus, individuals who have lived through an ED may have a different view of recovery to that of their “supports” (e.g., improved psychosocial functioning, QOL, vs. medical stability, decreases in behaviors, and vice versa). However, the recovery priorities of individuals and “supports” may also align. For example, recent studies have indicated that both individuals and parents/families place high value on increased body acceptance and independence in the individual’s recovery process [43, 44]. In addition, there is a relatively new resource for partners of those with ED, which focuses on understanding, supporting, and connecting with the partner on shared recovery goals . In the book “Loving Someone with an Eating Disorder,” Dana Harron includes perspective-taking exercises to help the person understand their partner’s struggle, strategies for dealing with mealtime challenges, up-to-date facts about EDs, and self-care tips to help the person maintain healthy boundaries .
Conceptual and methodological challenges in ED recovery research
Related to the above, researchers face a number of conceptual and methodological questions when exploring ED recovery. For example, whether or not recovery should be considered per individual ED, or trans-diagnostically, is an important question in the recovery definition literature. Bardone-Cone et al.  suggest that a transdiagnostic approach is most appropriate, given that diagnoses can shift, and symptoms can fluctuate over time. Indeed, longitudinal studies have indicated that participants report receiving a single ED diagnosis at one point in time, however, over their lifetime, they would have met criteria for two, three, or four “different” ED diagnoses at different times (e.g., ). Anecdotally, our co-authors have also noted this when recruiting participants for research. Instead of necessitating an overall cessation of ED symptoms within one diagnostic category in the traditional categorical approach, a transdiagnostic approach could rather focus on improving the status of individual symptoms (e.g., frequency of restricting, binging) as a marker of individual “recovery.”
Beyond differences in being able to compare clinical groups across research findings, we might also consider who is most commonly included in these recovery studies (and who is not). There are many significant logistical barriers to receiving an ED diagnosis and related treatment worldwide. Indeed, practical barriers include: cost, insurance coverage, rurality, transportation, work or education schedules, and lack of available childcare, which disproportionately affects people from potentially disadvantaged groups (e.g., [47,48,49,50]). The process of recovery itself invokes privilege (e.g., who is able to be diagnosed, who has access to formal treatment, and who is recovering in the “right way”). For example, EDs may be missed, or diagnoses delayed, in those who do not fit the stereotypical picture of a person with an ED, including those in larger, or non-emaciated, bodies [51, 52].
The majority of the studies thus far on ED recovery definitions are therefore composed predominantly of non-diverse participant samples who have the means to overcome the barriers to treatment access (i.e., predominantly White, thin, socioeconomically privileged, cisgender women, drawn primarily from clinical settings). Indeed, there has been comparatively little research on other populations with EDs (e.g., cis men, trans and nonbinary people, children, elders, higher weight individuals, individuals with binge eating disorder [BED], comorbidities, or late onset), as these groups often do not have access to the diagnoses and treatments that are the gateway to research study participation. These limitations determine whose recoveries we can learn about, and excludes other experiences [18, 53, 54].
Traditionally, those with lived experience have not been invited to co-design recovery research, limiting study participation and the diversity of representation. Even when recovery research includes non-clinical samples, methodology choices impact who is selected for participation. For example, studies that exclude potential participants with BMIs above certain levels (e.g., BMIs that are considered “overweight” or “obese”) exclude many ED recovery experiences automatically, limiting the view of what “recovery” looks like.
Additionally, the specific terminology of “recovery” may not resonate with all people experiencing life beyond an ED , causing some potential participants to self-select out of such studies. Some people with lived experience note that the term “recovery” is prescribed and carries preconceptions [56, 57]. Indeed, there are nuances and connotations involved with the use of the word “recovery.” Some individuals may consider themselves “in recovery” (on a continuous journey), while others may consider themselves “recovered” (having moved past the ED completely). In this way, the meaning of “recovery” can indicate both a process and a state . Stringent criteria for including people in studies as “recovered” may pre-define the group with whom recovery is being explored. Other terminology, such as severe and enduring anorexia nervosa (SEAN), and severe and enduring eating disorders (SEED), emphasize more chronic conditions. However, these terms are not always helpful for people experiencing longer-lasting ED, as they may insinuate that healthcare providers (or the patient) have given up hope for recovery [59,60,61,62].
Given that “recovery” as a term does not resonate with all [55, 63,64,65], using other terms, including non-clinical ones (e.g., “getting better”, “healing”) to refer to these experiences may increase the diversity of experiences in the literature. As we will explain, these methodological features matter in recovery research because they significantly impact what we can know about ED recovery, and for whom.
We come into this work from various vantage points; we name our positionalities here, since researchers’ subjectivity inevitably shapes their research and interpretations . Engaging with the subjective, rather than presuming objectivity is the most ethical and effective stance in research, and can invite opportunities to uncover new and different knowledge . The authors bring research and clinical lenses to bear on this work; some of us are primarily or exclusively researchers in the ED field, whereas others also practice clinically. We come from Global North countries, and all of us are White. We were thus trained in scientific traditions that privilege certain ways of knowing and doing that reflect the English and White dominant landscape of academia. While most of us benefit from thin privilege, able-bodied privilege, and cis-hetero privilege, our authorship team also includes those with non-binary, queer, fat, and chronically ill identities. Some of us have lived experience with ED, and have used this to inform our research and clinical practice. Some of us are newer to the ED field, whereas others have been working in the field for over 30 years. While we are different in some ways, our sameness centers around the academic privilege we have to access, interpret and navigate these literatures and their methodologies.
Overview and analysis of ED research methods
Below we provide an overview of the commonly used quantitative and qualitative research methods, along with tables that illustrate examples of the different types of analyses that fit within these broader methodological categories. We also analyze the benefits and limitations of each method, focusing on what we can learn from them and identifying relevant gaps in the literature.
As noted above, quantitative methods typically stem from a (post)positivist ontological/epistemological stance, which inherently affects how data are interpreted and understood. This is a core consideration of how we in turn can view the findings. This approach aims to provide “objective” results ; in this case, it is “recovery by the numbers.” It allows for the measurement of results through data, relying on a systematic approach of empirical investigation, and based on the assumption that there is a singular recovery definition which can be known. Researchers use statistical models, computational techniques, and mathematics to develop and test specific hypotheses. The types of quantitative analyses range from relatively simple descriptive/comparative measures to more complex multivariate measures and multi-level designs (which are all influenced by their study samples, assessments, and testable hypotheses). Data can be collected from the traditional in-person research study (or through video conferencing), or alternatively, from participant surveys (e.g., online, phone, mail, text).
Different types of quantitative methods have been employed in ED recovery research (see Table 1). Descriptive studies focus on the “how/what/when/where,” rather than the “why” (e.g., examining aspects of recovery definitions ), and comparative studies have a procedure to conclude that one variable is better than another (e.g., comparing different recovery definitions for agreement ). Univariate analyses examine the statistical characteristics of a single variable (e.g., dichotomous yes/no variable differences between recovery groups on a single measure , continuous range variable differences between recovery groups on multiple measures ), while bivariate analyses determine the empirical relationship between two variables (X and Y) (e.g., relationships between recovery attitudes and related variables ). Multivariate analyses aim to determine the best combination of all possible variables to test the study hypothesis (e.g., comparing recovery and healthy control groups across different recovery scores ).
According to (post)positivist stances, these quantitative methods have the anticipated or theoretical benefits of enabling researchers to reach higher sample sizes (increases generalizability), randomize participants (reduces bias), and replicate results (validates data). In practice, though, generalizability extends only to the sample that is recruited (as noted above, in most cases, thin, White women), and randomization within that sample thus does not increase the diversity of results. The relative focus on “novel” research means that replication studies are not conducted to the degree we would hope or expect.
In addition, quantitative methods limit what can be known about any particular individual. For example, numbers can tell us a person’s standardized assessment scores, but they do not include the detailed descriptions of the individual’s experiences. They also reduce recovery to a single experience which may overlook the tremendous diversity in lived experiences. Similarly, while statistical analyses can account for contextual confounding variables, they cannot tell us the broader factors which influence the delivery and the function of interventions.
Overall, qualitative methods offer the potential to engage deeply with phenomenon of interest, often stemming from non-positivist epistemological stances (e.g., constructionist, feminist). While qualitative methods are commonly critiqued for small sample sizes, in a qualitative paradigm, small samples allow researchers to dig into the nuances illustrated in participants’ stories, strengthening study findings. The aim of qualitative research is in-depth, contextualized analysis, rather than generalizations. Qualitative methods often, but not always, involve interacting directly with participants in the form of interviews or focus groups. However, qualitative research can also involve analyses of existing textual or image data, such as blog or social media posts, or news articles. A core feature of qualitative research is the researchers’ focus on exploring meaning in voiced or textual data, vs. using only quantitative measures.
Despite shared features, qualitative methods vary enormously in terms of data collection and analysis types. This is due in part to the differences in theoretical basis, epistemologies, ontologies, and paradigms that inform what meaning researchers perceive as possible to achieve. Some (e.g., ) draw on the concepts of “big Q” and “small q” to differentiate in broad terms between the qualitative methods . Briefly, “big Q” methods invite and acknowledge researcher subjectivity, whereas “small q” approaches attempt to aim at more “objective interpretation,” , which is more similar to (post)positivist approaches. Further, “big Q” approaches tend to delve into the connections between knowledge production, analysis, and sociocultural contexts in which research takes place, whereas “small q” approaches tend to focus more on descriptive, groundwork-laying analysis for quantitative methods to provide generalizability . Neither approach is inherently “better;” they are designed to achieve distinct findings.
Some of the qualitative methods that have been commonly used to explore ED recovery experiences are summarized in Table 2. Note that these are not the only methods used. Some (particularly earlier) studies, describe their methods as “qualitative,” without specifying the exact type(s) of analysis. The differences between these various types of methods are at times subtle.
Discourse Analysis (DA) focuses on language not as just a route to content, but as powerful in and of itself (e.g., analysis of talk about recovery) [77, 78]. Within DA, Linguistic Analysis adds a focus on language present in the text, with more of an emphasis on terms used, and their connotations (e.g., explorations of Internet message board communications about recovery) . Also within DA, Narrative-Discursive Analysis adds a focus on social power (e.g., analysis of recovery interviews with a gender lens ), alongside an emphasis on stories (individual and broader, social stories). Narrative Approaches emphasize the story (e.g., analyses of participant writing, life-history), and situates recovery within the broader culture [31, 81,82,83,84]). Phenomenological and Phenomenographic Approaches, including Interpretive Phenomenological Analysis (IPA) aim to get in “close” to participant embodied experiences (e.g., focus on recovery self-process in specific groups such as men, former patients, people in recovery from AN specifically [85,86,87]). Grounded Theory emphasizes context-specific “ground-up” theory developed from participant responses (e.g., development of cyclical, phase, and process models of recovery in/outside of treatment contexts [65, 88,89,90,91]). Thematic Analysis (TA) is aimed at developing patterns/themes based on data (e.g., exploring patterns in experiences of recovery [92,93,94]) and can look quite different depending on the type of thematic analysis employed, ranging from more descriptive to more analytical. Content Analysis summarizes and organizes experiences amongst a particular group in a particular context (e.g., describing the content of interviews with specific groups, for example, athletes, or exploring the content of a particular stage of recovery, such as late-stage recovery [95,96,97,98,99]).
It is also possible to use different qualitative methods to explore similar phenomenon. For example, a constructivist grounded theory exploration of people who have received treatment for AN may focus on theorizing what ED recovery processes are occurring for this particular group [99, 100]. An IPA of this same group, meanwhile, may emphasize the development of a set of themes relating to shared perspectives on what the experience felt like [101, 102].
Qualitative methods can thus provide detailed descriptions of a wide diversity of lived experiences. This enables us to have a broader perspective of what is possible in recovery. Additionally, these methods allow us to consider the contextual factors which influence the delivery and the function of interventions. A potential further benefit is the individual’s own process of reflecting on their changes in recovery (via study participation), which may provide insight and encouragement for continuing on their path.
Critiques of qualitative methods tend to center around the concept of generalizability, though as noted this is not typically the goal of qualitative approaches. As noted above, quantitative studies, which typically focus on a person’s ED standardized assessment scores, and account for contextual confounding variables through statistical analyses, theoretically generate findings which can be applied to other populations from the study sample. However, as we have indicated, extrapolation of the results of mostly homogenous groups (e.g., predominantly White, thin, socioeconomically privileged, cisgender women, drawn primarily from clinical settings) falsely assumes that the course and outcomes will be the same for all.
Exploration of mixed-methods, creative methods, and multi-methods research
While ED recovery researchers have primarily conducted either quantitative or qualitative studies, some have integrated alternative or multiple methods in their designs. Below we explore some of these methods, which may enable new understandings of ED recovery. These include mixed-methods (usually a weaving of quantitative and qualitative), creative methods (e.g., Photovoice, digital storytelling), and multi-methods (e.g., complementary combinations of quantitative, qualitative, creative methods, psycho/physiological, behavioral, laboratory, online observations).
Mixed-methods (weaving of quantitative and qualitative)
It has been argued that mixed-methods allow us to weave together our quantitative and qualitative insights by acknowledging the benefits and limits of both designs. Cluster analysis intends to combine these methods with the goal of maximizing benefits . For the qualitative aspects of the analysis, data is coded to themes using one of the qualitative methods, and each individual unit of data (e.g., person) is coded for the presence or absence of each theme. For the quantitative aspects of the analysis, data is plotted to identify different clusters of individuals, and then these clusters are interpreted via statistical methods. Cluster analysis aims to provide greater insight into groups of individuals, and potentially elucidate different clusters of “recovery definitions.” However, the qualitative analysis in this approach is inherently reductionistic (e.g., people are coded to create a quantitative measure), which aligns with the post-positivist stance associated with quantitative analyses. From this view, the approaches are not actually integrated; rather they are complimentary. Indeed, it may not be possible to truly integrate them when they emerge from different epistemological stances. We suggest, however, that integration is not needed.
Bachner-Melman et al.  used exploratory factor analysis to identify four factors that mapped onto ED recovery which had general agreement between participants with a lifetime ED diagnosis, healthy family members, and ED clinicians; (1) lack of symptomatic behavior, (2) acceptance of self and body, (3) social and emotional connection, and (4) physical health. These factors were then confirmed using confirmatory factor analysis. Utilizing more than one method thus expands our perspectives of ED recovery, allowing us to broaden our understanding of what can be known about recovery. Yet as noted above, we caution readers in viewing mixed-method approaches as an overall panacea; the approach tends to be more (post)positivist, and aims to quantify experiences, which may not be the goal for researchers from other stances. Again, this is not to say that the approach is without merit, but that it is important to acknowledge what it aims to do (or know).
Creative methods (photovoice, digital/verbal storytelling, collages, drawings)
Quantitative and qualitative methods are, of course, not the only options at the disposal of researchers interested in exploring ED recovery. Some researchers have elected to take creative approaches to research, seeking to explore recovery in different ways. Potentially, such methods enable researchers to “see” facets of recovery phenomenon that are less evident in methods that primarily hinge on either words or numbers . To date, ED recovery researchers have used creative methods such as Photovoice [104, 105], which aims to involve participants in the process of generating and analyzing research data . This method may be particularly useful for generating disseminable results, with a view towards change in policy settings for the benefit of people in recovery .
Another creative method, digital storytelling [57, 107], encourages participants to “story themselves” at a particular moment in time. This may enable the creation of more nuanced, rich, and person-centered depictions of recovery; the participant’s voice is centered in a way that may be less feasible in research that seeks to generate patterns across several participants’ accounts . Like Photovoice, digital stories can also be used to work toward enhancing understandings of recovery amongst people who do not have lived experience (e.g., healthcare providers) .
Other creative methods include the use of collages, verbal storytelling, drawing,and more [108,109,110]. Placing the decision about which creative method to use in the hands of research participants may also enable a redressing of traditional power dynamics in research that position the researcher as the ultimate decision-maker .
Multi-methods (complimentary use of multiple methods)
Given that ED recovery is a complex phenomenon, one approach to exploring it is the use of a multi-method research design, including different complimentary types of analyses (e.g., quantitative, qualitative, creative methods, psycho/physiological, behavioral, laboratory, online observations), and ideally from different perspectives (e.g., individuals, “supports,” clinicians, researchers, policy makers, and other stakeholders). Broadening our methodological “toolkits” may allow for more nuanced and specific insights about ED recoveries, taking into account context, varied perspectives, and positionalities.
Several studies of ED symptom assessment have employed multi-method designs thus far, and each of these has the potential to contribute a piece of the “ED recovery puzzle.” For example, Stewart et al.  conducted a mixed method investigation of the experiences young people, parents, and clinicians had of online ED treatment during COVID-19. They used a mixed quantitative (Likert scale rating questions) and qualitative (free text entry questions) survey which they analyzed using a summary approach (quantitative) and reflexive thematic analysis (qualitative). Leehr and colleagues  analyzed binge eating episodes under negative mood conditions via electroencephalography (EEG) and eye tracking (ET) in a laboratory.
Bartholome et al.  combined standardized instrument interviews, laboratory investigations, and ecological momentary assessment (EMA) to collect data on binge eating episodes in participants with BED. In order to examine underlying mechanisms of the somatic sensation of “feeling fat,” Mehak and Racine  used multiple methods of self-reports, EMA, heart rate variability, laboratory measurements of BMI, dual energy X-ray absorptiometry (DEXA) scans, and clothing sizes.
Technological advances can offer more in-depth information about the recovery process, and could be utilized further in research studies. For example, EMA allows for moment by moment collection of data on phenomenon of interest. This can include biological functions (e.g., heart rate), as well as feelings and behaviors in an individual’s daily life. This approach provides a more “real time” look into experiences (versus having to recall such experiences later on in a survey, or in an interview). In the case of ED recovery, future research can explore the answer to the question of what “active” recovery looks like on a daily basis for individuals via EMA (e.g., what challenges do individuals encounter; how does it impact their behavior/feelings?).
Other technological laboratory tools, such as fMRI, DEXA, and other scanning techniques, can add visual information about the current physical state of recovery (and any related functional “scars” from the ED). It may be helpful in future studies to provide this feedback so individuals can have an accurate picture of the medical status of their body, and make adjustments (e.g., take Vitamin D to increase bone density).
Additional methodological approaches/considerations
Co-design with different perspectives in ED recovery research
We believe it will be helpful to incorporate different perspectives in ED recovery research for many reasons. For example, expanding who is included in our studies, what identities are represented, and those with both formal and informal treatment, will increase the participant representation, relevance, and generalizability of the findings . This in turn will allow us to know more about the process of recovery for different individuals and groups, and will broaden our conceptualization of the phenomenon. Ideally, future research will include individuals with lived experiences and their “supports” (e.g., parents, families, partners, friends, mentors), as well as clinicians and researchers, in co-designing studies that could identify and assess aspects of ED recovery that are important to all of the constituents.
Longitudinal research design
We also underscore the need for an extended duration of studies in order to better understand the longitudinal course and outcome of individuals in ED recovery. This design will allow us to compare recovery operalizations vs. subsequent relapse rates, to track how perspectives of recovery develop and change over time (via quantitative, qualitative and mixed-method measures), and how these in turn affect an individual’s identity (e.g., ).
There are several areas of potential future longitudinal research. For example, follow-up on cognitive recovery (which we know tends to occur later (e.g., ), and how related timelines for this may impact subsequent relapse rates, tracking recovery changes over time with mixed or multi-methods designs in underrepresented populations (e.g., Atypical Anorexia (AAN) ), and holding on to hope, with more longitudinal data indicating that recovery is possible, even after decades (e.g., ).
Future research directions
Based on the above studies, we suggest some potential areas for future research, ideally incorporating multi-method designs to provide different perspectives on ED recovery. Recently, several themes have been identified in the literature as promising lines of research that may improve our understanding of ED, and increase the clinical application of findings.
Predictors of outcomes
Within quantitative research, Bardone-Cone et al.  note that predictors of outcomes, biological/neuropsychological techniques, and a focus on the SEAN population are newer, more nuanced, areas of investigation. In their systematic review and meta-analysis of predictors of ED treatment outcomes (at end of treatment [EoT], and follow-up), Vall and Wade  reported that the most robust predictor at both time frames was greater symptom change earlier in treatment. Other baseline predictors of better outcomes included: higher BMI, fewer binge/purge behaviors, more functional relationships (e.g., with family, friends), and greater motivation to recover. Of note, it is important to understand that higher BMI is in the context of a “higher” thin BMI, as most people with BMI > 25 are not included in studies of recovery. This is another example of how our methods and design choices impact what we can know.
Relatedly, one potential area for future ED quantitative predictor research is to build a Risk Calculator (RC), which is a statistical tool that identifies risk factors, and determines how likely an event is to happen for a particular person . Physicians have used RCs clinically across an array of medical conditions, including stroke  and cancer . There has been a recent turn toward integrating RCs into charting psychiatric disorder outcomes and treatment approaches; they have been used for psychosis , depression , and bipolar disorder [120,121,122,123]. This same technique could be applied to build a RC for personalized risk of ED onset/relapse, utilizing variables collected in research/treatment. A statistical combination of factors that reliably predict the non-occurrence of ED relapse could be a valuable addition to, predictor of, or even criterion, for full recovery. As part of these research initiatives, it will be important for researchers to employ diverse and longitudinal methods in order to obtain long-term, dynamic data.
In line with this, narrative qualitative analysis may be useful in elucidating predictors/risk factors for individuals. In this way, the (narrative) story that the person tells themselves about their recovery, and what was helpful to them, also has importance alongside any quantitative measures. Indeed, this perspective perhaps has more personal meaning, especially in contexts where minute changes identifiable through quantitative studies may be less relevant in the daily lives of their ED recovery.
Biological and neurological markers
Recent developments in the understanding of biological and neurological markers have enabled us to parse out what features may be involved with the ED “state” (which resolves with recovery), what features may onset premorbid to the ED (and will potentially continue after recovery), and what features may be “scars” (consequences of the ED). In their functional Magnetic Resonance Imaging (fMRI) study on participants who had recovered from AN, Fuglset et al.  reported increased activation in visual processing regions in anticipation of seeing images of food, with corresponding reduced activation in decision-making regions. While they found some normalization of the brain regions during recovery, other differences related to longer periods of starvation that appear later in life remained (residual “scars”).
Future quantitative research which incorporates longitudinal designs following the same participant cohort may elucidate more closely the timepoints during which the “state” and “scar” markers begin to emerge, in order to provide earlier interventions. In this instance, qualitative longitudinal studies could be beneficial here too. For example, participant narrative descriptions of ongoing biological changes in their recovery (e.g., feeling hungrier, not being able to tolerate hunger as well) not only reaffirm that people are noticing these internal bio markers, but provide the opportunity for them to discuss their day to day experiences of these lasting changes.
From a post-positivist perspective, there has been a longstanding call for standardized ED recovery criteria, typically involving weight, behavioral, and cognitive criteria (e.g., [14,15,16,17]). Drawing from the above, we suggest that research looking into recovery criteria may benefit from more diverse methodological approaches which pull from a variety of sources (e.g., clinicians, researchers, individuals with lived experience). For example, BMI has historically been used as an indicator of recovery status because it is readily obtained by ED researchers (and clinicians). While weight monitoring can be helpful in specific cases (e.g., those who are severely underweight or have lost a lot of weight in a short period of time), it is limited in use. Namely, BMI is insufficient to determine medical stabilization, it fails to take into account individual differences, and it can have negative impacts on treatment when individuals are discharged on the basis of weight alone . Given these concerns, future research could discontinue the use of BMI as the “core” recovery criterion, as suggested by Kenny and Lewis , and instead focus on other variables that are more indicative of recovery over follow-up (e.g., Vall and Wade’s systematic review and meta-analysis findings of early symptom change during treatment as the most robust predictor of outcomes) .
Similarly, standardized assessments (e.g., EDE-Q, EDE, ED-LIFE) have been the “go-to” for assessing recovery outcomes in comparison to statistical norms. However, these measures are often developed by clinicians/researchers (thus reflecting what they feel is important in recovery) and in line with particular therapeutic modalities (e.g., the EDE-Q has a cognitive orientation). Thus, scores on these measures may not always match the person’s particular recovery aims and goals, nor the relative importance of particular behaviors in their lives. Employing these measures as a part of multi-methods designs with other types of assessments for comparison may offer the potential to think differently about these measures, and their role in assessing outcomes. We also suggest the need for measures co-designed with folks with lived experience and which reflect the diverse recovery elements described in qualitative studies (e.g., ).
The recovery process
Future research could compile more comprehensive lived experience narratives of changes in thought patterns through the recovery journeys (e.g., descriptions of how the “ED” voice began to leave, if ED voice is a relevant construct for the person), which could provide a more realistic timeline of this portion of the process for individuals and their “supports.” To begin to employ these kinds of measures in a way that opens up new possibilities, it would also be important to explore whether the ED-related ideas being measured resonate with the person whose recovery is being explored. Co-design processes may also be particularly relevant here, inviting people in recovery to be a part of research teams and take a role in determining the kinds of measures that could be used to assess recovery.
As years of ED behaviors and thoughts tend to impair different areas of psychosocial functioning (e.g., relationships, school/work, recreation, household duties), improvement in these areas, along with related QOL, tends to also lag behind physical recovery (e.g., ). Future research could further elaborate the timelines for which recovery in the different areas occurs, both from a group (e.g., through life story, narrative, or thematic analysis), and an individual (e.g., personal recording of recovery progress, case study approach) level. This approach offers a shift in methodological perspective, providing opportunity to conceptualize recovery differently.
Other areas for future consideration
Several studies (and informal support groups) have successfully employed recovered mentors, providing hope in recovery (e.g., ). Future research could examine more of the nuances of the mentorship role, including the characteristics of the mentor, the stage of recovery that the individual is in, and the dynamics of the mentor relationship. Further, taking a truly co-designed approach and, in particular, working with those who have not been included and heard in either treatment or research (not only more diverse participants, but their “supports,” including mentors), could offer new insight into recovery processes. Indeed, going forwards, we need to conduct our research differently if we want to incorporate the perspectives of those that we do not usually hear from.
Another area of study has developed around online (e.g., social media) use among those who are at risk for developing an ED, struggling with an ED, and those who are on the path to ED recovery. Analyses of online websites, blogs, and social media posts, along with their related potentially triggering content, have been conducted (e.g., ). However, on a positive note, this medium allows us to explore other methodological possibilities, including potentially focusing on reducing participant burden, and engaging with content from spaces where people are more “organically” describing these experiences, to get a sense of recovery outside of a clinical perspective. One possibility for future research is to combine the use of EMA with exposure to a range of different ED blog content (e.g., from triggering to supportive posts), in order to provide more proximal individual reaction information (e.g., EMA before exposure, EMA at exposure time, EMA after exposure time).
Proposed future research model: Dialectical movement towards and away from a consensus
The aim of this paper is to offer a more diverse view of methodological perspectives (which stem from various ontological and epistemological stances) and ideas that might allow for forward movement in the field. As noted above, in a dialectal format, this can involve both movement toward and away from a consensus, including perspectives which do not seek to identify a single recovery definition. We believe that both can be simultaneously pursued, acknowledging that one does not discount the other. We have outlined several potential areas to explore which do not necessarily depend upon a consensus definition. Here, for balance, we would like to propose a future research model that could guide us in a direction that may eventually lead to a consensus definition–or definitions. In effect, we are advocating for: (1) transparency in researchers’ epistemological stances; (2) more varied approaches to research in order to “see” different aspects of recovery experiences; and (3) collaboration between researchers and other stakeholders to generate new methodological approaches and insights about recovery.
Our proposed future research model is detailed in Table 3. Based upon the studies we cited above, we suggest a multi-methods design (e.g., quantitative, qualitative, creative methods, psycho/physiological, behavioral, laboratory, online observations), which incorporates different perspectives (e.g., expanding recruitment of participants that have been less represented in the literature, including “supportive” others), and extends the duration of studies to provide a more longitudinal outlook (e.g., capturing cognitive recovery, and improvement in psychosocial functioning/QOL, which often comes later, and noting how definitions of recovery may change over time for people). In this way, we hope to move the field towards different, more nuanced, and comprehensive perspectives on ED recovery.
In conclusion, we would like to encourage a creative, transparent, and thoughtful approach to ED recovery methodology, that considers what each of the methods allows us to engage with, or not, as the case may be. What we can (and do) know about recovery is intricately tied to our methodological and study design choices, which all have limits. Within this context, while there is a benefit to current pushes in the field to “come to consensus,“ these consensus definitions will necessarily leave out some people and experiences. This is especially the case for those who have not been meaningfully included in the research we have conducted to reach this consensus (e.g., people with lived experience, “non-traditional” patients, patients without access to treatment). Since there are so many different facets of recovery experiences, using different methodologies is imperative to develop a more complete understanding.
Indeed, it is important to acknowledge how the centrality of the method that is chosen to define ED recovery in turn influences how researchers and clinicians understand recovery, and how one moves towards it. New insights into recovery processes may depend on new methods of investigation. Thus, we suggest that some potential areas for future research ideally employ multi-method designs (e.g., quantitative, qualitative, creative methods, psycho/physiological, behavioral, laboratory, online observations), incorporate different perspectives (e.g., expanding recruitment of participants that have been less represented in the literature, including supportive others) and extend the duration of studies to provide a more longitudinal outlook (e.g., capturing cognitive recovery, which often comes later, and noting how definitions of recovery may change over time for people). In this way, we hope to move the field towards different, more nuanced, and comprehensive perspectives on ED recovery.
Availability of data and materials
There are debates about the degree to which research can ever be truly objective or whether this is desirable. Here, we use objective and subjective in quotation marks to signal broader perceptions about these processes.
Binge eating disorder
Body mass index
Connectedness, hope and optimism, identity, meaning in life, empowerment
Dual energy X-ray absorptiometry
Eating attitudes test
Eating Disorders Recovery Endorsement Questionnaire
Eating Disorders Recovery Questionnaire
Eating Disorders Quality of Life Scale
Eating Disorders Quality of Life
Ecological momentary assessment
Functional magnetic resonance imaging
Generalized estimating equations
Health-Related Quality of Life in Eating Disorders Questionnaire
Hierarchical linear models
Interpretive phenomenological analysis
Multivariate analysis of variance
National Institutes of Health
Substance Abuse and Mental Health Services Administration
Severe and enduring anorexia nervosa
Severe and enduring eating disorder
- QOL ED:
Quality of life for eating disorders
Barad K. Meeting the Universe Halfway. Durham: Duke University Press; 2007.
Slevitch L. Qualitative and quantitative methodologies compared: ontological and epistemological perspective. J Qual Assur Hosp Tour. 2011;12(1):73–81.
Tuli F. The basis of distinction between qualitative and quantitative research in social science: reflection on ontological, epistemological and methodological perspectives. Ethiop J Educ Sci. 2010;6(1).
Duncan C, Cloutier JD, Bailey PH. Concept analysis: the importance of differentiating the ontological focus. J Adv Nurs. 2007;58(3):293–300.
Hofweber T. Logic and ontology. In: Zalta EN, editor. The Stanford encyclopedia of philosophy. Stanford: The Metaphysics Research Lab, Center for the Study of Language and Information; 2021.
Hupcey JE, Penrod J. Concept analysis: examining the state of the science. Res Theory Nurs Pract. 2005;19(2):197–208.
Wilson J. Thinking with concepts. Cambridge: Cambridge University Press; 1963.
Setup M, Ram N. Epistemology. In: Zalta EN, editor. The Stanford encyclopedia of philosophy. Stanford: The Metaphysics Research Lab, Center for the Study of Language and Information; 2020.
Macionis JJ, Gerber LM, Sociology (7th Canadian). Pearson, Canada: Pearson Canada; 2011.
Larrain J. The concept of ideology. London: Hutchison; 1979.
Phillips DC, Burbules NC. Postpositivism and educational research. Lanham & Boulder: Rowman & LIttlefield Publishers; 2000.
Stanley J. Knowledge and practical interests. New York: Oxford University Press; 2005.
Cakir M. Constructivist approaches to learning in science and their implications for science pedagogy: a literature review. Int J Environ Sci Educ. 2008;3(4):193–206.
Bardone-Cone AM, Harney MB, Maldonado CR, Lawson MA, Robinson DP, Smith R, et al. Defining recovery from an eating disorder: conceptualization, validation, and examination of psychosocial functioning and psychiatric comorbidity. Behav Res Ther. 2010;48(3):194–202.
Bardone-Cone AM, Hunt RA, Watson HJ. An overview of conceptualizations of eating disorder recovery, recent findings, and future directions. Curr Psychiatry Rep. 2018;20(9):79.
Wade TD, Lock J. Developing consensus on the definition of remission and recovery for research. Int J Eat Disord. 2020;53(8):1204–8.
Attia E, Blackwood KL, Guarda AS, Marcus MD, Rothman DJ. Marketing residential treatment programs for eating disorders: a call for transparency. Psychiatr serv. 2016;67(6):664–6.
McGilley BS. J. Recipe for recovery: necessary ingredients for the client’s and clinician’s Success. In: Maine M, Bunnell, editors. New York: Elsevier; 2010.
Noordenbos G. Which criteria for recovery are relevant according to eating disorder patients and therapists? Eat Disord. 2011;19(5):441–51.
Solmi M, Wade TD, Byrne S, Del Giovane C, Fairburn CG, Ostinelli EG, et al. Comparative efficacy and acceptability of psychological interventions for the treatment of adult outpatients with anorexia nervosa: a systematic review and network meta-analysis. Lancet Psychiatry. 2021;8(3):215–24.
Treasure J, Duarte TA, Schmidt U. Eating disorders. Lancet. 2020;395(10227):899–911.
Waller G, Raykos B. Behavioral interventions in the treatment of eating disorders. Psychiatr Clin North Am. 2019;42(2):181–91.
Garner DM, Garfinkel PE. The eating attitudes test: an index of the symptoms of anorexia nervosa. Psychol Med. 1979;9(2):273–9.
Kenny TE, Trottier K, Lewis S. Lived experience perspectives on a model of eating disorder recovery in a sample of predominantly white women: a mixed method study. J Eat Disord. 2022;10(1):1–19.
McDonald S, Williams AJ, Barr P, McNamara N, Marriott M. Service user and eating disorder therapist views on anorexia nervosa recovery criteria. Psychol Psychother. 2021;94(3):721–36.
Vall E, Wade TD. Predictors of treatment outcome in individuals with eating disorders: a systematic review and meta-analysis. Int J Eat Disord. 2015;48(7):946–71.
Dawson L, Rhodes P, Touyz S. “Doing the impossible”: the process of recovery from chronic anorexia nervosa. Qual Health Res. 2014;24(4):494–505.
Anthony WA. Recovery from mental illness: the guiding vision of the mental health service system in the 1990s. Psychosoc Rehabilit J. 1993;24(9):159–68.
Wetzler S, Hackmann C, Peryer G, Clayman K, Friedman D, Saffran K, et al. A framework to conceptualize personal recovery from eating disorders: a systematic review and qualitative meta-synthesis of perspectives from individuals with lived experience. Int J Eat Disord. 2020;53(8):1188–203.
Jarman M, Walsh S. Evaluating recovery from anorexia nervosa and bulimia nervosa: integrating lessons learned from research and clinical practice. Clin Psychol Rev. 1999;19(7):773–88.
Dawson L, Rhodes P, Touyz S. Defining recovery from anorexia nervosa: a Delphi study to determine expert practitioners’ views. Adv Eat Disord: Theory Res Pract. 2015;3:165–76.
’t Slof-OpLandt MCT, Dingemans AE, de la Torre YRJ, van Furth EF. Self-assessment of eating disorder recovery: absence of eating disorder psychopathology is not essential. Int J Eat Disord. 2019;52(8):956–61.
de Vos JA, Radstaak M, Bohlmeijer ET, Westerhof GJ. Having an eating disorder and still being able to flourish? Examination of pathological symptoms and well-being as two continua of mental health in a clinical sample. Front Psychol. 2018;9:2145.
Emanuelli F, Waller G, Jones-Chester M, Ostuzzi R. Recovery from disordered eating: sufferers’ and clinicians’ perspectives. Eur Eat Disord Rev. 2012;20(5):363–72.
Noordenbos G, Seubring A. Criteria for recovery from eating disorders according to patients and therapists. Eat Disord. 2006;14(1):41–54.
Engel SG, Wittrock DA, Crosby RD, Wonderlich SA, Mitchell JE, Kolotkin RL. Development and psychometric validation of an eating disorder-specific health-related quality of life instrument. Int J Eat Disord. 2006;39(1):62–71.
Abraham SF, Brown T, Boyd C, Luscombe G, Russell J. Quality of life: eating disorders. Aust N Z J Psychiatry. 2006;40(2):150–5.
Las Hayas C, Quintana JM, Padierna A, Bilbao A, Munoz P, Madrazo A, et al. The new questionnaire health-related quality of life for eating disorders showed good validity and reliability. J Clin Epidemiol. 2006;59(2):192–200.
Adair CE, Marcoux GC, Cram BS, Ewashen CJ, Chafe J, Cassin SE, et al. Development and multi-site validation of a new condition-specific quality of life measure for eating disorders. Health Qual Life Outcomes. 2007;5:23.
Bachner-Melman R, Lev-Ari L, Zohar AH, Linketsky M. The Eating Disorders Recovery Questionnaire: psychometric properties and validity. Eat Weight Disord. 2021;26(8):2633–43.
Noordenbos G. When have eating disordered patients recovered and what do the DSM-IV criteria tell about recovery? Eat Disord. 2011;19(3):234–45.
Bachner-Melman R, Lev-Ari L, Zohar AH, Lev SL. Can recovery from an eating disorder be measured? Toward a standardized questionnaire. Front Psychol. 2018;9:2456.
Accurso EC, Sim L, Muhlheim L, Lebow J. Parents know best: caregiver perspectives on eating disorder recovery. Int J Eat Disord. 2020;53(8):1252–60.
Richmond TK, Woolverton GA, Mammel K, Ornstein RM, Spalding A, Woods ER, et al. How do you define recovery? A qualitative study of patients with eating disorders, their parents, and clinicians. Int J Eat Disord. 2020;53(8):1209–18.
Harron D. Loving Someone with an Eating Disorder. Oakland: New Harbinger Publications, Inc.; 2019.
Milos G, Spindler A, Schnyder U, Fairburn CG. Instability of eating disorder diagnoses: prospective study. Br J Psychiatry. 2005;187:573–8.
Becker AE, Franko DL, Speck A, Herzog DB. Ethnicity and differential access to care for eating disorder symptoms. Int J Eat Disord. 2003;33(2):205–12.
Cachelin FM, Rebeck R, Veisel C, Striegel-Moore RH. Barriers to treatment for eating disorders among ethnically diverse women. Int J Eat Disord. 2001;30(3):269–78.
Cachelin FM, Striegel-Moore RH. Help seeking and barriers to treatment in a community sample of Mexican American and European American women with eating disorders. Int J Eat Disord. 2006;39(2):154–61.
Ali K, Farrer L, Fassnacht DB, Gulliver A, Bauer S, Griffiths KM. Perceived barriers and facilitators towards help-seeking for eating disorders: a systematic review. Int J Eat Disord. 2017;50(1):9–21.
Lebow J, Sim LA, Kransdorf LN. Prevalence of a history of overweight and obesity in adolescents with restrictive eating disorders. J Adolesc Health. 2015;56(1):19–24.
Harrop EN, Mensinger JL, Moore M, Lindhorst T. Restrictive eating disorders in higher weight persons: a systematic review of atypical anorexia nervosa prevalence and consecutive admission literature. Int J Eat Disord. 2021;54(8):1328–57.
Egbert AH, Hunt RA, Williams KL, Burke NL, Mathis KJ. Reporting racial and ethnic diversity in eating disorder research over the past 20 years. Int J Eat Disord. 2022;55(4):455–62.
Mikhail ME, Klump KL. A virtual issue highlighting eating disorders in people of black/African and indigenous heritage. Int J Eat Disord. 2021;54(3):459–67.
Conti JE. Recovering identity from anorexia nervosa: women’s constructions of their experiences of recovery from anorexia nervosa over 10 years. J Constructivist Psychol. 2018;31(1):72–94.
Kenny TE, Thomassin K, Trottier K, Lewis SP. Views on the term ‘recovery’ in a sample of primarily white treatment-experienced women with lived eating disorder experience. Int J Eat Disord. Under Review.
LaMarre A, Rice C. Healthcare providers’ engagement with eating disorder recovery narratives: opening to complexity and diversity. Med Humanit. 2020;47:78–86.
Fava GA. The concept of recovery in affective disorders. Psychother Psychosom. 1996;65(1):2–13.
Eddy KT, Tabri N, Thomas JJ, Murray HB, Keshaviah A, Hastings E, et al. Recovery from anorexia nervosa and bulimia nervosa at 22-year follow-up. J Clin Psychiatry. 2017;78(2):184–9.
Dawson L, Rhodes P, Touyz S. The recovery model and anorexia nervosa. Aust N Z J Psychiatry. 2014;48(11):1009–16.
Touyz S, Hay P. Severe and enduring anorexia nervosa (SE-AN): in search of a new paradigm. J Eat Disord. 2015;3:26.
Calugi S, Milanese C, Sartirana M, El Ghoch M, Sartori F, Geccherle E, et al. The eating disorder examination questionnaire: reliability and validity of the Italian version. Eat Weight Disord. 2017;22(3):509–14.
LaMarre A, Rice C, Rinaldi J tracing fatness through the eating disorder assemblage. Thickening fat, 1st Edition: Routledge; 2019. pp. 64–76.
Shohet MN, Anorexia. “Full” and “struggling.” Genres Recover Ethos. 2008;35(3):344–82.
Musolino C, Warin M, Wade T, Gilchrist P. Developing shared understandings of recovery and care: a qualitative study of women with eating disorders who resist therapeutic care. J Eat Disord. 2016;4:36.
Malterud K. Qualitative research: standards, challenges, and guidelines. Lancet. 2001;358(9280):483–8.
Gough B, Madill A. Subjectivity in psychological science: from problem to prospect. Psychol Methods. 2012;17(3):374–84.
Matthews B, Ross L. Research methods. a practical guide for the social sciences. Harlow: Pearson Education; 2010.
Couturier J, Lock J. What is recovery in adolescent anorexia nervosa? Int J Eat Disord. 2006;39(7):550–5.
Ackard DM, Richter SA, Egan AM, Cronemeyer CL. What does remission tell us about women with eating disorders? Investigating applications of various remission definitions and their associations with quality of life. J Psychosom Res. 2014;76(1):12–8.
Cogley CB, Keel PK. Requiring remission of undue influence of weight and shape on self-evaluation in the definition of recovery for bulimia nervosa. Int J Eat Disord. 2003;34(2):200–10.
Dimitropoulos G, McCallum L, Colasanto M, Freeman VE, Gadalla T. The effects of stigma on recovery attitudes in people with anorexia nervosa in intensive treatment. J Nerv Ment Dis. 2016;204(5):370–80.
Bachner-Melman R, Zohar AH, Ebstein RP. An examination of cognitive versus behavioral components of recovery from anorexia nervosa. J Nerv Ment Dis. 2006;194(9):697–703.
Braun VC, Can V. I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern-based qualitative analytic approaches. Couns Psychother Res. 2021;21(1):37–47.
Kidder LH, Fine M. Qualitative and quantitative methods: when stories converge. Eval Policy. 1987;1987(35):57–75.
Clarke V. Navigating the messy swamp of qualitative research: are generic reporting standards the answer? In: Levitt HM, editor. Reporting qualitative research in psychology: how to meet APA Style journal article reporting standards, revised edition. Washington: American Psychological Association; 2020.
Hardin PK. Social and cultural considerations in recovery from anorexia nervosa: a critical poststructuralist analysis. ANS Adv Nurs Sci. 2003;26(1):5–16.
Keski-Rahkonen A, Tozzi F. The process of recovery in eating disorder sufferers’ own words: an Internet-based study. Int J Eat Disord. 2005;37(Suppl):S80-6 discussion S7-9.
Maison H, Bailey L, Clarke S, Treasure J, Anderson G, Kohn M. Un/imaginable future selves: a discourse analysis of in-patients’ talk about recovery from an eating disorder. Eur Eat Disord Rev. 2011;19(a):25–36.
Moulding N. Gendered intersubjectivities in narratives of recovery from an eating disorder. J Women Soc Work. 2016;31(1):70–83.
LaMarre A, Rice C. Normal eating is counter-cultural: embodied experiences of eating disorder recovery. J Commun Appl Soc Psychol. 2016;26:136–49.
Matusek JA, Knudson RM. Rethinking recovery from eating disorders: spiritual and political dimensions. Qual Health Res. 2009;19(5):697–707.
Patching J, Lawler J. Understanding women’s experiences of developing an ED and recovery: a life-history approach. Nurs Inq. 2009;12(1):10–21.
Redenbach J, Lawler J. Recovery from disordered eating: what life histories reveal. Contemp Nurse. 2003;15(1–2):148–56.
Bjork T, Wallin K, Pettersen G. Male experiences of life after recovery from an eating disorder. Eat Disord. 2012;20(5):460–8.
Bjork T, Ahlstrom G. The patient’s perception of having recovered from an eating disorder. Health Care Women Int. 2008;29(8):926–44.
Jenkins J, Ogden J. Becoming ‘whole’ again: a qualitative study of women’s views of recovering from anorexia nervosa. Eur Eat Disord Rev. 2012;20(1):e23–31.
D’Abundo M, Chally P. Struggling with recovery: participant perspectives on battling an eating disorder. Qual Health Res. 2004;14(8):1094–106.
Krentz A, Chew J, Arthur N. Can J Couns. 2005;39(2):118–35.
Lamoureux MMH, Bottorff JL. “Becoming the real me”: Recovering from anorexia nervosa. Heatlh Care for Women International. 2005;26:170–88.
Woods S. Untreated recovery from eating disorders. Adolescence. 2004;39(154):361–71.
Hay PJ, Cho K. A qualitative exploration of influences on the process of recovery from personal written accounts of people with anorexia nervosa. Women Health. 2013;53(7):730–40.
LaMarre A, Rice C. Hashtag recovery: #eating disorder recovery on instagram. Soc Sci. 2017;6(3):68.
Lord VM, Reiboldt W, Gonitzke D, Parker E, Peterson C. Experiences of recovery in binge-eating disorder: a qualitative approach using online message boards. Eat Weight Disord. 2018;23(1):95–105.
Arthur-Cameselle JN, Quatromoni PA. A qualitative analysis of female college athletes’ eating disorder recovery experiences. Sport Psychol. 2014;28:334–46.
Lindgren BM, Enmark A, Bohman A, Lundstrom M. A qualitative study of young women’s experiences of recovery from bulimia nervosa. J Adv Nurs. 2015;71(4):860–9.
Nilsson K, Hagglof B. Patient perspectives of recovery in adolescent onset anorexia nervosa. Eat Disord. 2006;14(4):305–11.
Pettersen G, Thune-Larsen KB, Wynn R, Rosenvinge JH. Eating disorders: challenges in the later phases of the recovery process: a qualitative study of patients’ experiences. Scand J Caring Sci. 2013;27(1):92–8.
Charmaz K. The power of constructivist grounded theory for critical inquiry. Res Methods Eval. 2016;23(1):34–45.
Williams K, King J, Fox JR. Sense of self and anorexia nervosa: a grounded theory. Psychol Psychother. 2016;89(2):211–28.
Smith JA. Reflecting on the development of interpretive phenomenological analysis and its contribution to qualitative research in psychology. Qual Res Psychol. 2008;1(1):39–54.
Fox AP, Larkin M, Leung N. The personal meaning of eating disorder symptoms: an interpretative phenomenological analysis. J Health Psychol. 2011;16(1):116–25.
Henry D, Dymnicki AB, Mohatt N, Allen J, Kelly JG. Clustering methods with qualitative data: a mixed-methods approach for prevention research with small samples. Prev Sci. 2015;16(7):1007–16.
Saunders JF, Eaton AA. Social comparisons in eating disorder recovery: using photovoice to capture the sociocultural influences on women’s recovery. Int J Eat Disord. 2018;51(12):1361–6.
Saunders JF, Eaton AA, Aguilar S. From self(ie)-objectification to self-empowerment: the meaning of selfies on social media in eating disorder recovery. Comput Human Beh. 2020;111:106420.
Wang C, Burris MA. Photovoice: concept, methodology, and use for participatory needs assessment. Health Educ Behav. 1997;24(3):369–87.
LaMarre A, Rice C. Embodying critical and corporeal methodology: digital storytelling With young women in eating disorder recovery. Forum Qual Soc Res. 2016;17:2.
Bartel H. A ‘Girls’ Illness?’ Using narratives of eating disorders in men and boys in healthcare education and research. In: Arts based health care research: a multidisciplinary perspective. Cham: Springer; 2022. p. 69-84.
Proszynski J. Interior designs: demolition and reconstruction of the self in eating disorder recovery through transformable collage book making (Doctoral dissertation, Pratt Institute). 2022.
Marzola E, Abbate-Daga G, Gramaglia C, Amianto F, Fassino S, Mobini S (ReviewingEditor). A qualitative investigation into anorexia nervosa: The inner perspective. Cogent Psychol 2015;2:1. https://doi.org/10.1080/23311908.2015.1032493.
Stewart C, Konstantellou A, Kassamali F, McLaughlin N, Cutinha D, Bryant-Waugh R, et al. Is this the ‘new normal’? A mixed method investigation of young person, parent and clinician experience of online eating disorder treatment during the COVID-19 pandemic. J Eat Disord. 2021;9(1):78.
Leehr EJ, Schag K, Dresler T, Grosse-Wentrup M, Hautzinger M, Fallgatter AJ, et al. Food specific inhibitory control under negative mood in binge-eating disorder: Evidence from a multimethod approach. Int J Eat Disord. 2018;51(2):112–23.
Bartholome LT, Raymond NC, Lee SS, Peterson CB, Warren CS. Detailed analysis of binges in obese women with binge eating disorder: Comparisons using multiple methods of data collection. Int J Eat Disord. 2006;39(8):685–93.
Mehak A, Racine SE. Understanding “feeling fat” and its underlying mechanisms: the importance of multimethod measurement. Int J Eat Disord. 2020;53(9):1400–4.
Harrop E. “Maybe i really am too fat to have an eating disorder”: A mixed methods study of weight stigma and healthcare experiences in a diverse sample of patients with atypical anorexia (Doctoral dissertation). Seattle: University of Washington; 2020.
Fusar-Poli P, Rutigliano G, Stahl D, Davies C, Bonoldi I, Reilly T, et al. Development and validation of a clinically based risk calculator for the transdiagnostic prediction of psychosis. JAMA Psychiatry. 2017;74(5):493–500.
Nobel L, Mayo NE, Hanley J, Nadeau L, Daskalopoulou SS. MyRisk_stroke calculator: a personalized stroke risk assessment tool for the general population. J Clin Neurol. 2014;10(1):1–9.
Gail MH, Brinton LA, Byar DP, Corle DK, Green SB, Schairer C, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81(24):1879–86.
Perlis RH. Pharmacogenomic testing and personalized treatment of depression. Clin Chem. 2014;60(1):53–9.
Hafeman DM, Merranko J, Goldstein TR, Axelson D, Goldstein BI, Monk K, et al. Assessment of a person-level risk calculator to predict new-onset bipolar spectrum disorder in youth at familial risk. JAMA Psychiatry. 2017;74(8):841–7.
Birmaher B, Merranko JA, Goldstein TR, Gill MK, Goldstein BI, Hower H, et al. A risk calculator to predict the individual risk of conversion from subthreshold bipolar symptoms to bipolar disorder I or II in youth. J Am Acad Child Adolesc Psychiatry. 2018;57(10):755–63 e4.
Birmaher B, Merranko JA, Gill MK, Hafeman D, Goldstein T, Goldstein B, et al. Predicting personalized risk of mood recurrences in youths and young adults with bipolar spectrum disorder. J Am Acad Child Adolesc Psychiatry. 2020;59(10):1156–64.
Goldstein TR, Merranko J, Hafeman D, Gill MK, Liao F, Sewall C, et al. A risk calculator to predict suicide attempts among individuals with early-onset bipolar disorder. Bipolar Disord. 2022.
Fuglset TS, Landro NI, Reas DL, Ro O. Functional brain alterations in anorexia nervosa: a scoping review. J Eat Disord. 2016;4:32.
Phillipou A, Beilharz F. Should we shed the weight criterion for anorexia nervosa? Aust N Z J Psychiatry. 2019;53(6):501–2.
Kenny TE, Lewis SP. Reconceptualizing recovery: integrating lived experience perspectives into traditional eating disorder recovery frameworks. Psychiatr Serv. 2021;72(8):966–8.
Ramjan LM, Hay P, Fogarty S. Benefits of a mentoring support program for individuals with an eating disorder: a proof of concept pilot program. BMC Res Notes. 2017;10(1):709.
Wolf M, Thies F, Kordy H. Language use in eating disorder blogs: psychological implications of social online activity. J Lang Soc Psychol. 2013;32(2):212–26.
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Hower, H., LaMarre, A., Bachner-Melman, R. et al. Conceptualizing eating disorder recovery research: Current perspectives and future research directions. J Eat Disord 10, 165 (2022). https://doi.org/10.1186/s40337-022-00678-8
- Eating disorders
- Quantitative research
- Qualitative research
- Multi-methods research