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Early life maltreatment but not lifetime depression predicts insecure attachment in women

Overview of attention for article published in Archives of Women's Mental Health, June 2017
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Title
Early life maltreatment but not lifetime depression predicts insecure attachment in women
Published in
Archives of Women's Mental Health, June 2017
DOI 10.1007/s00737-017-0731-z
Pubmed ID
Authors

Anna-Lena Zietlow, Nora Nonnenmacher, Corinna Reck, Mitho Mueller, Sabine C. Herpertz, Corinne Neukel, Anna Fuchs, Felix Bermpohl, Daniel Fuehrer, Dorothea Kluczniok, Catherine Hindi Attar, Charlotte Jaite, Katja Dittrich, Katja Boedeker

Abstract

Early life maltreatment (ELM) poses a risk for the development of insecure attachment and depression over the life span, depending on the type of maltreatment (physical, sexual, emotional, neglect) and its severity. The aim of this study was to investigate the influence of ELM and lifetime depression on adult insecure attachment in a female sample (N = 188), consisting of n = 81 women with ELM and n = 107 without ELM. Women with ELM reported significantly higher scores on insecure attachment than women without ELM. A significant interaction effect for ELM × lifetime depression was found: Contradictory to the hypotheses, women with ELM but without lifetime depression scored highest on avoidant attachment, differing significantly from women with ELM and lifetime depression, even though the severity of ELM was higher among women with ELM and lifetime depression and they experienced significantly more severe neglect and sexual abuse, but not physical or emotional abuse. Regression analyses revealed that ELM was the only predictor of avoidant attachment, explaining 15.5% of the variance. Results underline the strong influence of ELM on adult attachment and are of special importance for prevention and intervention programs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 15%
Student > Bachelor 10 11%
Student > Doctoral Student 10 11%
Student > Master 9 10%
Student > Ph. D. Student 6 7%
Other 6 7%
Unknown 33 38%
Readers by discipline Count As %
Psychology 26 30%
Social Sciences 6 7%
Medicine and Dentistry 5 6%
Nursing and Health Professions 4 5%
Materials Science 2 2%
Other 7 8%
Unknown 37 43%