Cited by 142Eating Disorders and BehaviorsNutrition, Health and Food BehaviorChild Nutrition and Feeding Issues

A narrative review of sex differences in eating disorders: Is there a biological basis?

Open access
Culbert, Kristen M., Sisk, Cheryl L., Klump, Kelly L.·2021·Clinical Therapeutics

Abstract

Purpose Eating disorders and their core symptoms (eg, binge eating, body weight/shape concerns) disproportionately affect females, and these sex-differentiated effects become prominent during and after puberty. Although psychosocial influences such as heightened sociocultural pressures for thinness in girls and women contribute to this sex imbalance, biological factors could also play an important role.Methods This narrative review summarizes evidence of biological factors underlying the sex-differentiated prevalence of eating pathology as well as within-sex variability in risk.Findings There are sex differences in the pubertal emergence of genetic effects on eating pathology (adrenarche in males; gonadarche in females), and at least some genetic contributions to eating pathology seem to vary between the sexes. Furthermore, sex steroid hormones (eg, testosterone, estradiol, progesterone) are leading contributors to differential risk for eating pathology in males and females across the life span. Emerging data suggest that between-sex and within-sex variability in risk might occur via hormone-driven modulation (activation/deactivation) of genetic influences and neural responsiveness to food-related cues.Implications There is a biological basis to heightened risk for eating pathology in females, relative to males, as well as unique biological influences within each sex. Findings from this review highlight the importance of studying both sexes and considering sex-specific biological mechanisms that may underlie differential risk for eating pathology.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.clinthera.2020.12.003

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The sample composition of nine females and one male reflects the widely documented distribution in eating disorders, with an approximate female-to-male ratio of 9:1.

    “In line with the existing literature, the composition of the sample in this study-nine females and one male-reflects the widely documented distribution in eating disorders, with an approximate female-to-male ratio of 9:1, as reported in [7], which highlights the marked overrepresentation of females in these disorders.”

    From Immersive Virtual Reality in Psychotherapeutic Interventions for Youth with Eating Disorders: A Pilot Study in a Rural Context (2025) · cites this paper as [7]

    The Introduction reports that females are at greater risk and that female-to-male prevalence ratios range from approximately 2:1 to 10:1 across eating disorders. This supports female overrepresentation, but not a generally applicable approximate ratio of 9:1 or the inference that a nine-female, one-male sample reflects a typical distribution. No page number is available in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 118 · Cited by 142

Research works printed but not linked: 4

  1. [1]American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5). American Psychiatric Association; 2013.
  2. [22]Root TL, Ph D, Thornton L, NIH Public Access. 2011; 11(2): 92– 98. doi: 10.1016/j.eatbeh.2009.10.004.Shared · DOI
  3. [28]Klump KL, Culbert KM, Slane JD, Burt SA, Sisk CL, Nigg JT. The effects of puberty on genetic risk for disordered eating: evidence for a sex differences. Psychol Med. 2012; 42(3): 627– 637. doi: 10.1017/S0033291711001541.The 21854699 PMC3697115 · DOI
  4. [79]Altabe M, Thompson JK. Menstrual cycle, body image, and eating disturbance. Int J Eat Disord. 1990; 9: 395– 401.

Authors
Culbert, K. M., Sisk, C. L., & Klump, K. L.
Affiliations
  • Wayne State University (US)
  • Michigan State University (US)
Corresponding author
Culbert, Kristen M.
Venue
Clinical Therapeutics
Publisher
Elsevier BV
Published
2021-01
Volume
43
Issue
1
Pages
95-111
ISSN
0149-2918 (ISSN-L)
OpenAlex
W3114095057
Cited by
142
References
118
Citations by year
2026: 26 · 2025: 41 · 2024: 36 · 2023: 23 · 2022: 10 · 2021: 5
FWCI
0.75
Type
journal article
Language
en
Open access
Locations
  • Clinical Therapeutics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Mental Health
Topics
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
Keywords
eating disorders, sex differences, biological basis, puberty, gonadarche, adrenarche, sex hormones, testosterone, estradiol, progesterone, genetic risk, binge eating, body image concern, food cue reactivity
MeSH terms
Animals, Feeding and Eating Disorders, Humans, Sex Characteristics, Gonadal Steroid Hormones

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review