Psychosocial determinants and family background in anorexia nervosa: Results from the Stockholm Birth Cohort Study
2012 (English)In: International Journal of Eating Disorders, ISSN 0276-3478, E-ISSN 1098-108X, Vol. 45, no 3, 362-369 p.Article in journal (Refereed) Published
Objective: The aim of this study was to examine the associations between psychosocial factors and family background and incidence of anorexia nervosa (AN) in a Swedish cohort.
Method: The Stockholm Birth Cohort, SBC (N = 14,294) contains information on social background and general health in males and females, born in Stockholm 1953. Hospitalizations for AN, based on diagnoses from the ICD-8 through ICD-10, were recorded from 1969 to 2002. Cox proportional hazard regression was used to measure the association between psychosocial characteristics and family background and the risk of AN.
Results: Higher maternal education was associated with a higher risk for hospitalization for AN. An increased risk for AN was also found among females who stated that they “often compare their future prospects with others.”
Discussion: Although the study is based on a low number of cases, it confirms earlier findings of higher maternal education among individuals with eating disorders in similar cohorts.
Place, publisher, year, edition, pages
John Wiley & Sons, 2012. Vol. 45, no 3, 362-369 p.
anorexia nervosa, social background, family characteristics, psychosocial factors
Research subject Psychology
IdentifiersURN: urn:nbn:se:su:diva-43928DOI: 10.1002/eat.20953ISI: 000301227900007OAI: oai:DiVA.org:su-43928DiVA: diva2:359901
The creation and maintenance of the Stockholm Birth Cohort Data Base is a collaboration between CHESS and SOFI. Sten-Åke Stenberg of SOFI prepared the original Metropolitan Data Base, Denny Vågerö of CHESS prepared the follow-up data for 1980–2002, and Reidar Österman of CHESS organized the probability matching of the two data sets. The authors thank Ylva Almquist (CHESS) and Amir Sariaslan (Karolinska Institutet) for kind assistance with the data management. Finally, they acknowledge valuable comments from Bianca de Stavola (London School of Hygiene & Tropical Medicine, UK).2010-11-012010-11-012012-07-02Bibliographically approved