ArticleHuman reproduction (Oxford, England)2014
Association of fat to lean mass ratio with metabolic dysfunction in women with polycystic ovary syndrome.
Article in Human reproduction (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 70 citations in OpenAlex.
- Efficacy of a Novel Fenugreek Seed Extract (Trigonella foenum-graecum, Furocyst) in Polycystic Ovary Syndrome (PCOS).International journal of medical sciences · 2015Trial
- Physical Activity, Metabolic Dysfunction, and the Kynurenine Pathway in Endometriosis and Polycystic Ovary Syndrome: A Literature Review.Biomolecules · 2026Review
- The Hypothalamic Nuclei Implicated in the Regulation of Polycystic Ovary Syndrome: A Review of Its Clinical, Metabolic, and Endocrine Aspects.Molecules (Basel, Switzerland) · 2025Review
- Article
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management.Biomolecules · 2025Review
- Body composition analysis in women with polycystic ovary syndrome: a cross-sectional study from the Tehran Lipid and Glucose Study (TLGS).BMC endocrine disorders · 2024Article
- The discriminatory capability of anthropometric measures in predicting reproductive outcomes in Chinese women with PCOS.Journal of ovarian research · 2024Article
- Inositols and female reproduction disorders: a consensus statement from the working group of the Club of the Italian Society of Endocrinology (SIE)-Women's Endocrinology.Journal of endocrinological investigation · 2024Review
- The Association Between Lean-to-Fat Mass Ratio and Cardiometabolic Abnormalities: An Analytical Cross-Sectional Study.Journal of clinical medicine research · 2024Article
- The Role of Different Methods in Defining Cardiometabolic Risk and Metabolic Syndrome in Women with Polycystic Ovary Syndrome.Life (Basel, Switzerland) · 2023Article
- Interaction between gut microbiota and sex hormones and their relation to sexual dimorphism in metabolic diseases.Biology of sex differences · 2023Review
- Association of severity of menstrual dysfunction with hyperinsulinemia and dysglycemia in polycystic ovary syndrome.Human reproduction (Oxford, England) · 2022Article
- Hypertension Predisposition and Thermoregulation Delays in Adolescents with Polycystic Ovary Syndrome: A Pilot Study.Children (Basel, Switzerland) · 2022Article
- Adrenal Androgen Predictive Effects on Clinical and Metabolic Abnormalities of Polycystic Ovary Syndrome.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022Article
- The Efficacy of Chinese Herbal Medicine in Animal Models of Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis.Evidence-based complementary and alternative medicine : eCAM · 2022Review
- Evaluation of the relationship between serum ferritin and insulin resistance and visceral adiposity index (VAI) in women with polycystic ovary syndrome.Eating and weight disorders : EWD · 2021Article
- Systemic and adipocyte transcriptional and metabolic dysregulation in idiopathic intracranial hypertension.JCI insight · 2021Article
- Body Composition and Characterization of Skinfold Thicknesses from Polycystic Ovary Syndrome Phenotypes. A Preliminar Case-Control Study.International journal of environmental research and public health · 2021Article
- Mitochondria in Sex Hormone-Induced Disorder of Energy Metabolism in Males and Females.Frontiers in endocrinology · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
study questionAre differences in metabolic dysfunction between polycystic ovary syndrome (PCOS) and control women related to differences in their fat to lean mass (F/L) ratio? SUMMARY ANSWER: Compared with controls of similar body mass index (BMI), women with PCOS demonstrate adverse body composition characterized by increased whole body fat relative to lean mass (i.e. a higher F/L ratio), which is associated with differences in metabolic dysfunction between the two groups. WHAT IS KNOWN ALREADY: Previous studies examining body composition and insulin resistance (IR) in PCOS have yielded conflicting results. Excess total fat mass (i.e. fat mass index [fat BMI]) correlates with IR, whereas increased total lean mass (i.e. lean BMI) has been associated with higher insulin sensitivity. However, the role of the F/L ratio, which integrates the antagonistic effects of both fat and lean mass depots, on IR in PCOS, has not been investigated. STUDY DESIGN, SIZE, DURATION: We conducted a prospective cross-sectional study of 120 women between the ages of 22-44 years to study the relation of the F/L ratio with measures of insulin action and secretion in both steady and dynamic states. PARTICIPANTS/MATERIALS, SETTING,
methodsSixty PCOS (by NIH, 1990 criteria) and 60 control (age, race and BMI-matched) women were prospectively studied for body composition (by bioelectrical impedance analysis [BIA]) and basal IR and insulin secretion by the homeostasis model assessment (HOMA-IR and HOMA-%β-cell function, respectively) in a tertiary care academic referral center. A subset of 12 PCOS and 12 matched control women also underwent a modified frequently sampled intravenous glucose tolerance test (FSIVGTT) to determine glucose uptake and insulin secretion in dynamic state. MAIN RESULTS AND THE ROLE OF CHANCE: Our results indicate that women with PCOS demonstrated greater degrees of hyperandrogenism, and higher waist-to-hip ratio (WHR), %body fat, fat BMI, F/L, fasting insulin levels, and HOMA-IR and HOMA-%β-cell values, than controls. In models adjusted for WHR and free testosterone and diagnostic groups, fasting insulin levels, HOMA-IR, and HOMA-%beta cell function were positively related to the F/L ratio. A positive relationship was also found in both study groups between F/L and the FSIVGTT measures insulin sensitivity (Si) and acute insulin response to glucose (AIRg). The F/L tended to negatively correlate with glucose effectiveness or non-insulin-mediated glucose transport (Sg) only in PCOS women. LIMITATIONS, REASONS FOR CAUTION: Regional tissue sub-compartments, which have been shown to have potential independent associations with metabolic variables, cannot be determined by bioelectrical impedance analysis (BIA). WIDER IMPLICATIONS OF THE
findingsThe current results suggest that BIA could be used to assess F/L in place of dual energy X-ray absorptiometry (DXA) in research protocols, and that F/L could possibly be used as an alternative to WHR as a surrogate marker of metabolic dysfunction in clinical practice. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by grants R01-DK073632 and R01-HD29364 from the NIH and an endowment of the Helping Hand of Los Angeles, Inc. (to R.A.). The authors have no competing interests to declare. TRIAL REGISTRATION NUMBER: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.