ArticleObesity facts2023
Associations of Serum Follicle-Stimulating Hormone and Luteinizing Hormone Levels with Fat and Lean Mass during Menopausal Transition.
Article in Obesity facts, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 8 citations in OpenAlex.
- Insulin Levels Early in Perimenopause Inform Vasomotor Symptom Incidence Across the Menopausal Transition.The Journal of clinical endocrinology and metabolism · 2026Article
- Reduction of glycation stress as a geroscience intervention: protocol for a pilot RCT in postmenopausal women.npj aging · 2026Article
- Gonadotropin trajectories among postmenopausal women not using hormone therapy.Menopause (New York, N.Y.) · 2026Article
- Follicle-Stimulating Hormone and Its Emerging Role in Coronary Atherosclerosis Among Postmenopausal Women: A Comprehensive Review.International journal of women's health · 2026Review
- Insulin levels early in perimenopause inform vasomotor symptom incidence across the menopausal transition.medRxiv : the preprint server for health sciences · 2025Article
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
No grant is acknowledged in the PubMed record.
Abstract
introductionThe association of serum follicle-stimulating hormone (FSH) levels with body fat mass remains inconclusive. Furthermore, little was known about the association of luteinizing hormone (LH) with body fat. This study aimed to investigate the associations of serum FSH and LH levels with fat and lean mass in women during menopausal transition.
methodsThe data analyzed in this study were derived from the National Health and Nutrition Examination Survey from 1999 to 2002. Women aged from 35 to 60 years were eligible. Serum FSH and LH levels were assayed using the microparticle enzyme immunoassay technology. A dual energy X-ray absorptiometry was used to measure body fat mass and lean mass. Fat mass index (FMI) and fat-free mass index (FFMI) were respectively used to assess fat and lean mass. General linear regression was employed to examine the associations of serum FSH and LH levels with FMI and FFMI.
resultsThis study included 1,329 women. For the total participants, elevated serum FSH and LH levels were associated with an increased FMI (β = 0.004 and 0.007; 95% CI: 0.002, 0.006 and 0.004, 0.010, respectively) and a decreased FFMI (β = -0.004 and -0.007; 95% CI: -0.006, -0.002 and -0.010, -0.004, respectively). Furthermore, the significant associations of serum FSH and LH levels with FMI and FFMI were fully observed in postmenopausal women, especially in a certain range of higher serum FSH and LH quartiles.
conclusionElevated serum FSH and LH levels were associated with increased body fat mass but decreased lean mass in postmenopausal women but not in premenopausal women. Furthermore, only higher serum FSH and LH percentiles were associated with fat and lean mass in postmenopausal women.
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.