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Table 5 Summary of key data extracted from sources included in this systematic review

From: Avoidant/restrictive food intake disorder (ARFID) in New Zealand and Australia: a scoping review

 

Case reports

Treatment interventions

Cross-sectional studies

(Clinical)

(Clinical)

(Clinical)

(Non-Clinical)

Number of Studies

4

15

1

8

Sample (n) range

1

1–32

10

66–6156

Age range (y)

11–64

2–42

 > 16

5-Adulthood*

Gender

50% F

28% F

100% F

44% F^

Engagement method

Clinical assessment

In-home Intervention

Telehealth

Face to face clinic sessions

Retrospective clinical data collation

Face-to-face interviews

Face-to-face computer assisted personal interview

Questionnaires

Online survey

Vignette-based online survey

In person study measure completion

Assessment Instruments

Montréal Cognitive Assessment

DSM-5 ED assessment

MINI

EDE-Q

DASS-21

SF12v1

FFQ

EDE

MMPI-2-RF

EDDS-DSM-5

Other measures

Nutritional blood screen

MRI

CT scan

DEXA bone scan

Neurological status

Neuropsychology examination

BMI

X-ray

Physical examination

Dietary history

Background history

BMI

Measures relating to food consumption and treatment acceptability

Caregiver satisfaction

Diagnosis

Demographics

Relapse/readmission rates

Length of stay

BMI

Refeeding method

Medical complications

ARFID-related questions

Demographics

Physical HRQoL

Diagnosis Comorbidity

Management

Short-term outcomes

Anthropometrics

Background history

Key Findings

Health consequences of ARFID can be varied, severe, and irreversible if not addressed.

Interventions implemented included:

CBT

Behaviour analytic treatment

FBT + UP-C/A

Caregivers prioritised quick and effective treatments over minimising side-effects. Behaviour analytic treatments had high caregiver acceptability ratings.

Only one study reported clinical cases, and these were adults. Clinical cross-sectional studies are urgently required.

Clinicians rated ICD-11 favourably. An ARFID vignette resulted in multiple diagnoses under the ICD-10 condition.

When presented with a typical case vignette suggestive of ARFID, the majority of NZ health professional respondents did not label the case as ARFID in a multichoice answer, and 89.7% said there was “no consensus” on a label.

ARFID prevalence in South Australians was 1 in 300, and is associated with poorer mental HRQoL and significant functional impairments (compared to those without an ED).

HSUV for individuals with ARFID is low (0.74), secondary only to those with threshold ED (0.68).

Prevalence of severe fussy eating in NZ children = 1.9–2.8%.

  1. * Ages not reported in one study of health professionals, and > 15y or  > 16y age range described in two other studies
  2. ^ Gender was not reported for one cross sectional study of health professionals, and a further study reported a single transgender individual, and one individual of undisclosed gender that are not included in the % F reported in the summary table
  3. Avoidant/Restrictive Food Intake Disorder (ARFID), Body mass index (BMI), Cognitive behavioural therapy (CBT), Computerised Tomography (CT), Depression Anxiety and Stress Scale 21 (DASS-21), Dual X-ray Absorptiometry (DEXA), The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), Eating disorder (ED), Eating Disorder Diagnostic Scale (EDDS), The Eating Disorder Examination (EDE), Eating Disorder examination questionnaire (EDE-Q), Family Based Treatment (FBT), Female (F), Food Frequency Questionnaire (FFQ), Health-Related Quality of Life (HRQOL), Health state utility values (HSUVs), The International Classification of Diseases 10th revision (ICD-10), The International Classification of Diseases 11th revision (ICD-11), Mini International Neuropsychiatric Interview (MINI), Minnesota Multiphasic Personality Inventory (MMPI), Magnetic Resonance Imaging (MRI), 12-Item Short Form Health Survey (SF-12), Unified Protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents (UP-C/A)