Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
17146012
TITLE
Use of latent profile analysis to identify eating disorder phenotypes in an adult Australian twin cohort.
ABSTRACT
CONTEXT NlmCategory: BACKGROUND
The relationships among the different eating disorders that exist in the community are poorly understood, especially for residual disorders in which bingeing or purging occurs in the absence of other behaviors.
OBJECTIVE NlmCategory: OBJECTIVE
To examine a community sample for the number of mutually exclusive weight and eating profiles.
DESIGN NlmCategory: METHODS
Data regarding lifetime eating disorder symptoms and weight range were submitted to a latent profile analysis. Profiles were compared regarding personality, current eating and weight, retrospectively reported life events, and lifetime depressive psychopathology.
SETTING NlmCategory: METHODS
Longitudinal study among female twins from the Australian Twin Registry in whom eating was assessed by a telephone interview.
PARTICIPANTS NlmCategory: METHODS
A community sample of 1002 twins (individuals) who had participated in earlier waves of data collection.
MAIN OUTCOME MEASURES NlmCategory: METHODS
Number and clinical character of latent profiles.
RESULTS NlmCategory: RESULTS
The best fit was a 5-profile solution with women who were (1) of normal weight with few lifetime eating disorders (4.3%), (2) overweight (10.6% had a lifetime eating disorder), (3) underweight and generally had no eating disorders except for 5.3% who had restricting anorexia nervosa, (4) of low to normal weight (89.0% had a lifetime eating disorder), and (5) obese (37.0% had a lifetime eating disorder). Each profile contained more than 1 type of lifetime eating disorder except for the third profile. Women in the first and third profiles had the best functioning, with women in the fourth and fifth profiles having similarly poorer functioning. The women in the fourth group had a symptom profile distinctive from the other 4 groups in terms of severity; they were also more likely to have had lifetime major depression and suicidality.
CONCLUSION NlmCategory: CONCLUSIONS
Lifetime weight ranges and the severity of eating disorder symptoms affected clustering more than the type of eating disorder symptom.
DATE PUBLISHED
2006 Dec
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 2006/12/06 09:00
medline 2007/01/11 09:00
entrez 2006/12/06 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Wade TD Wade Tracey D TD School of Psychology, Flinders University, PO Box 2100, Adelaide, SA 5001, Australia. tracey.wade@flinders.edu.au
Crosby RD Crosby Ross D RD
Martin NG Martin Nicholas G NG
INVESTIGATORS
JOURNAL
VOLUME: 63
ISSUE: 12
TITLE: Archives of general psychiatry
ISOABBREVIATION: Arch. Gen. Psychiatry
YEAR: 2006
MONTH: Dec
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0003-990X
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Arch Gen Psychiatry
COUNTRY: United States
ISSNLINKING: 0003-990X
NLMUNIQUEID: 0372435
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adult
Anorexia Nervosa epidemiology
Australia epidemiology
Body Weight epidemiology
Data Collection epidemiology
Depressive Disorder, Major epidemiology
Diseases in Twins genetics
Eating Disorders genetics
Feeding Behavior psychology
Female psychology
Humans psychology
Interviews as Topic psychology
Life Change Events psychology
Longitudinal Studies psychology
Models, Statistical psychology
Personality classification
Phenotype classification
Psychiatric Status Rating Scales statistics & numerical data
Registries statistics & numerical data
Reproducibility of Results statistics & numerical data
Severity of Illness Index statistics & numerical data
Sex Factors statistics & numerical data
Suicide, Attempted statistics & numerical data
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's