Does childhood sexual abuse predict young adult's BMI? A birth cohort study.
OBJECTIVE
The objective was to identify the extent to which childhood sexual abuse (CSA) is associated with BMI and overweight status in young adulthood and to examine whether any associations differ by gender.


METHODS
The Mater-University of Queensland Study of Pregnancy is a prospective birth cohort from a population-based sample involving 7223 singletons whose mothers were enrolled in the 1980s at the first antenatal visit. The present cohort consisted of a subgroup of 2461 young adults who had both self-reported CSA data and measured BMI at 21 years.


RESULTS
Of 1273 men, 10.5% reported non-penetrative and 7.5% reported penetrative CSA before age 16 years. Of 1305 women, 20.6% reported non-penetrative and 7.9% reported penetrative CSA by age 16 years. We found young women's BMI and the prevalence of overweight at age 21 were greater in those who experienced penetrative CSA. This association was robust to adjustment for a variety of potential confounders. However, there was no association between non-penetrative CSA and BMI in women and no association between either category of CSA and BMI in men. There was statistical evidence for a gender difference in the association of CSA with mean BMI at age 21 (p value for statistical interaction <0.01 in all models).


CONCLUSIONS
These findings suggest that among women, penetrative CSA is associated with greater BMI and increased odds of being overweight in later life, whereas in men, this association does not hold. This gender difference may reflect differences between women and men in the relationship between psychological trauma and body image or may be a chance subgroup finding.
Mamun
Abdullah A
AA
School of Population Health, University of Queensland, Herston Rd, Herston, QLD 4006, Australia. mamun@sph.uq.edu.au
Lawlor
Debbie A
DA
O'Callaghan
Michael J
MJ
Bor
William
W
Williams
Gail M
GM
Najman
Jake M
JM
D000328:Adult; D015992:Body Mass Index; D002648:Child; D002650:Child Abuse, Sexual / Q000706:statistics & numerical data*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008297:Male; D009765:Obesity / Q000453:epidemiology* / Q000209:etiology; D015995:Prevalence; D011446:Prospective Studies; D011793:Queensland / Q000453:epidemiology; D012044:Regression Analysis