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Cited by 147Ovarian function and disordersObesity, Physical Activity, DietGenetic and Kidney Cyst Diseases

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Overweight Status of Adolescent Girls With Polycystic Ovary Syndrome: Body Mass Index as Mediator of Quality of Life

Trent, Maria, Austin, S. Bryn, Rich, Michael, Gordon, Catherine M.·2005·Ambulatory Pediatrics
DOI 10.1367/a04-130r.1
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Abstract

Purpose Adolescent girls with polycystic ovary syndrome (PCOS) have significant disruption in health-related quality of life (HRQL) compared to their healthy peers, but it is unclear which aspects of the disorder have the greatest impact on these quality-of-life changes. Studies of adult women have indicated that weight status has a significant impact on subjective symptomatology; however, a similar effect of weight status on HRQL in adolescents with PCOS has not been established. This study evaluated the effect of body mass index (BMI) on quality-of-life disturbances in adolescent girls with PCOS.Methods Data were derived from the Adolescent PCOS Quality of Life Study, a cross-sectional study of healthy (n = 186) and PCOS-affected adolescent girls (n = 97). The study was conducted at an urban, hospital-based adolescent medicine clinical practice. Medical staff obtained anthropomorphic measurements. Participants in both groups completed the Child Health Questionnaire-Version CF-87 as a measure of HRQL. BMI was tested as a mediator of HRQL using bivariate analyses and multivariate linear regression models.Results The average BMI was 31.7 kg/m(2) (standard deviation [SD] = 8.4) for adolescents with PCOS and 23.5 kg/m(2) (SD = 4.2) for healthy adolescents. BMI was associated with PCOS status and HRQL. Girls with PCOS scored lower on the general health perceptions scale, physical functioning scale, family activities scale, and the general behavior scale and higher on the change in health in the last year subscale. When BMI was added to the multivariate linear regression models, coefficients were reduced on average by 3 points and became nonsignificant, indicating that the HRQL differences are mediated by the higher BMI.Conclusion This study demonstrates that BMI is a primary mediator in the relationship between PCOS and the HRQL reductions experienced by girls with the disorder. Clinical interventions that effectively address weight issues in adolescents with PCOS may improve overall HRQL and other obesity-related clinical outcomes.

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Metadata

Authors
Trent, M., Austin, S. B., Rich, M., & Gordon, C. M.
Affiliations
  • Johns Hopkins University (US)
  • Harvard University (US)
Corresponding author
Trent, Maria
ORCID
Venue
Ambulatory Pediatrics
Publisher
Elsevier BV
Published
2005-03
Volume
5
Issue
2
Pages
107-111
ISSN
1530-1567 (ISSN-L)
DOI
10.1367/a04-130r.1
OpenAlex
W1965883464
Cited by
147
References
26
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 7 · 2022: 8 · 2021: 11 · 2020: 14 · 2019: 6 · 2018: 6 · 2017: 4 · 2016: 6 · 2015: 9 · 2014: 7 · 2013: 4 · 2012: 10
FWCI
11.57
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Ambulatory Pediatrics (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Johns Hopkins University
  • U.S. Public Health Service (6T71MC0000909S1RO)
  • National Center on Minority Health and Health Disparities
  • Maternal and Child Health Bureau
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and Kidney Cyst Diseases
Keywords
polycystic ovary syndrome, adolescent girls, body mass index, overweight, health-related quality of life, obesity, mediation, Child Health Questionnaire, physical function, family activities
MeSH terms
Adolescent, Adult, Body Weight, Cross-Sectional Studies, Female, Humans, Polycystic Ovary Syndrome, Quality of Life, Body Mass Index, Multivariate Analysis, Linear Models

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