Burden and health state utility values of eating disorders: results from a population-based survey.


Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
01 2021
Historique:
pubmed: 2 11 2019
medline: 20 11 2021
entrez: 1 11 2019
Statut: ppublish

Résumé

There are no published estimates of the health state utility values (HSUVs) for a broad range of eating disorders (EDs). HSUVs are used in economic evaluations to determine quality-adjusted life years or as a measure of disorder burden. The main objective of the current study is to present HSUVs for a broad range of EDs based on DSM-5 diagnoses. We used pooled data of two Health Omnibus Surveys (2015 and 2016) including representative samples of individuals aged 15 + years living in South Australia. HSUVs were derived from the SF-6D (based on the SF-12 health-related quality of life questionnaire) and analysed by ED classification, ED symptoms (frequency of binge-eating or distress associated to binge eating) and weight status. Multiple linear regression models, adjusted for socio-demographics, were used to test the differences of HSUVs across ED groups. Overall, 18% of the 5609 individuals met criteria for ED threshold and subthreshold. EDs were associated with HSUV decrements, especially if they were severe disorders (compared to non-ED), binge ED: -0.16 (95% CI -0.19 to -0.13), bulimia nervosa: -0.12, (95% CI -0.16 to -0.08). There was an inverse relationship between distress related binge eating and HSUVs. HSUVs were lower among people with overweight/obese compared to those with healthy weight regardless of ED diagnosis. EDs were significantly associated with lower HSUVs compared to people without such disorders. This study, therefore, provides new insights into the burden of EDs. The derived HSUVs can also be used to populate future economic models.

Sections du résumé

BACKGROUND
There are no published estimates of the health state utility values (HSUVs) for a broad range of eating disorders (EDs). HSUVs are used in economic evaluations to determine quality-adjusted life years or as a measure of disorder burden. The main objective of the current study is to present HSUVs for a broad range of EDs based on DSM-5 diagnoses.
METHODS
We used pooled data of two Health Omnibus Surveys (2015 and 2016) including representative samples of individuals aged 15 + years living in South Australia. HSUVs were derived from the SF-6D (based on the SF-12 health-related quality of life questionnaire) and analysed by ED classification, ED symptoms (frequency of binge-eating or distress associated to binge eating) and weight status. Multiple linear regression models, adjusted for socio-demographics, were used to test the differences of HSUVs across ED groups.
RESULTS
Overall, 18% of the 5609 individuals met criteria for ED threshold and subthreshold. EDs were associated with HSUV decrements, especially if they were severe disorders (compared to non-ED), binge ED: -0.16 (95% CI -0.19 to -0.13), bulimia nervosa: -0.12, (95% CI -0.16 to -0.08). There was an inverse relationship between distress related binge eating and HSUVs. HSUVs were lower among people with overweight/obese compared to those with healthy weight regardless of ED diagnosis.
CONCLUSIONS
EDs were significantly associated with lower HSUVs compared to people without such disorders. This study, therefore, provides new insights into the burden of EDs. The derived HSUVs can also be used to populate future economic models.

Identifiants

pubmed: 31670627
doi: 10.1017/S0033291719003064
pii: S0033291719003064
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

130-137

Auteurs

Long Khanh-Dao Le (LK)

Deakin University, Geelong, Australia.
Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia.

Cathrine Mihalopoulos (C)

Deakin University, Geelong, Australia.
Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia.

Lidia Engel (L)

Deakin University, Geelong, Australia.
Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Geelong, Australia.

Stephen Touyz (S)

School of Psychology, Faculty of Science, the University of Sydney, Camperdown, New South Wales, Australia.

David Alejandro González-Chica (DA)

Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, Australia.
Adelaide Rural Clinical School, The University of Adelaide, Adelaide, Australia.

Nigel Stocks (N)

Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, Australia.

Phillipa Hay (P)

Translational Health Research Institute, School of Medicine, Western Sydney University, NSW, Australia.

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