History of child maltreatment and excessive dietary and screen time behaviors in young adults: Results from a nationally representative study
Open accessAbstract
Child maltreatment is common and has been associated with substance use addictions, yet few studies have examined associations with potentially addictive dietary and screen time behaviors. The goal of this study was to assess associations between retrospectively self-reported child maltreatment (sexual abuse, physical abuse, emotional abuse, and neglect) and excessive self-reported dietary (sugar sweetened beverage and fast food consumption) and screen time behaviors (television/video watching and leisure time computer use) in early adulthood, overall and by sex and race/ethnicity. Associations were examined using data from 10,813 participants 24-32 years old from the National Longitudinal Study of Adolescent to Adult Health. We used predicted marginal proportions accounting for the complex sample design to obtain prevalence ratios (PRs) and adjusted for demographic characteristics and physical activity. In females, exposure to poly-maltreatment (2+ types of child maltreatment) was associated with excessive sugar sweetened beverage consumption, television/video watching, and leisure time computer use; in males, exposure to poly-maltreatment was associated with excessive sugar sweetened beverage consumption, television/video watching, and fast food consumption. Some associations were particularly strong in racial/ethnic minorities, especially Latina females (poly-maltreatment-sugar sweetened beverage association: aPR = 6.14, 95% CI:2.12, 17.75; poly-maltreatment-computer use association: aPR = 3.08, 95% CI:1.44, 6.58). These findings show that child maltreatment is associated with excessive dietary and screen time behaviors into adulthood, and these associations are present in racial/ethnic groups at high risk of cardiometabolic disease. Extension of an addiction paradigm to include dietary and screen time behaviors may inform health risks and disease prevention efforts in child maltreatment survivors.
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A nationally representative sample of young adults (n = 10,813) exposure to multiple forms of maltreatment predicted excessive sugar sweetened beverage consumption.
“A nationally representative sample of young adults’ (n = 10,813) exposure to multiple forms of maltreatment predicted excessive sugar sweetened beverage consumption [128].”
From Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint (2020) · cites this paper as [128]
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- Authors
- Cammack, A. L., Gazmararian, J. A., & Suglia, S. F.
- Affiliations
- Emory University (US)
- Corresponding author
- Cammack, Alison L.
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 139
- Pages
- 106176
- ISSN
- 0091-7435 (ISSN-L)
- PMC
- PMC7494614
- OpenAlex
- W3037804001
- Cited by
- 21
- References
- 75
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 3
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- child abuse, sugar-sweetened beverages, fast food consumption, screen time, television viewing, computer use, young adults, sex differences, racial and ethnic minorities, Hispanic women, cardiometabolic risk, childhood abuse and neglect
- MeSH terms
- Screen Time, Adolescent, Adult, Child, Child Abuse, Diet, Female, Humans, Longitudinal Studies, Male, Retrospective Studies, Young Adult
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 ›
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