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Study Objective: To evaluate whether there are any differences in bone mineral density (BMD) between normal weight and obese adolescents suffering from polycystic ovary syndrome (PCOS) with oligo/amenorrhea.
Design: Prospective cohort study.
Setting: Adolescent gynecology clinic in a general service hospital.
Participants: Subjects consisted of adolescents between 16 to 18 years of age presenting with oligo/ amenorrhea with ultrasound morphology of polycystic ovaries ± evidence of hyperandrogenism over 24 months. Controls consisted of consecutive eumenorrheic patients within the same age group.
Interventions: All underwent full hormonal profile assessment, and dual energy X-ray absorptiometry and peripheral quantitative computed tomography scans.
Main Outcome Measures: Areal and volumetric BMD parameters.
Results: Of 37 adolescents with PCOS, 12 (32%) were obese with BMI ≥25, of which 9/12 (75%) were hyperandrogenic. The control group consisted of 40 normal weight eumenorrheic girls. The PCOS group overall had lower lumbar spine BMD values as compared to the controls (0.91 vs 0.97 g/ cm(2), P = 0.033). The normal weight PCOS group had lower BMD at the spine (0.90 vs 0.97 g/ cm(2), P = 0.027), trochanter (0.66 vs 0.71 g/ cm(2), P = 0.039) as well as volumetric distal tibial core sites (268 vs 296 mg/ cm(3)) as compared to eumenorrheic controls, but there were no significant BMD differences between the obese PCOS group and the eumenorrheic controls.
Conclusions: Normal weight PCOS adolescents with oligo/amenorrhea have marginally lower BMD values than controls, but obese PCOS adolescents have BMD values compatible with eumenorrheic adolescents.
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http://dx.doi.org/10.1016/j.jpag.2011.12.073 | DOI Listing |
Hum Brain Mapp
December 2024
Department of Psychology, Northeastern University, Boston, Massachusetts, USA.
Diffusion-weighted imaging (DWI) has been frequently used to examine age-related deterioration of white matter microstructure and its relationship to cognitive decline. However, typical tensor-based analytical approaches are often difficult to interpret due to the challenge of decomposing and (mis)interpreting the impact of crossing fibers within a voxel. We hypothesized that a novel analytical approach capable of resolving fiber-specific changes within each voxel (i.
View Article and Find Full Text PDFFront Immunol
December 2024
State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
This study examined the effects of on the growth performance, innate immunity, and gut microbiota of under different water temperature conditions. Feeding regimens included a 20% fishmeal diet (control), a low-fish meal (LFM) diet with 10% fishmeal and an LFM diet supplemented with 0.03% .
View Article and Find Full Text PDFFront Allergy
December 2024
Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Background: Several epidemiological studies have shown that allergic rhinitis (AR) patients are more susceptible to coronavirus disease 2019 (COVID-19).
Objective: We aim to investigate the risk factors for COVID-19 in AR patients.
Methods: A retrospective nationwide cohort study was conducted based on a questionnaire survey in China.
J Comput Graph Stat
March 2024
Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA.
Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering a mixed dataframe matrix, obtained by complex survey sampling, with entries following different canonical exponential distributions and subject to heterogeneous missingness. To tackle this challenging task, we propose a two-stage procedure: in the first stage, we model the entry-wise missing mechanism by logistic regression, and in the second stage, we complete the target parameter matrix by maximizing a weighted log-likelihood with a low-rank constraint.
View Article and Find Full Text PDFHeliyon
December 2024
Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, PO Box 11433, Saudi Arabia.
Background: Identification of an individuals vulnerability to specific eating behaviours could explain weight variations, which could help develop tailored interventional programs to prevent obesity and other pathological eating behaviours. However, there is no baseline data available on the associations between the subscales of the Three-Factor Eating Questionnaire (TFEQ) (dietary restraint, disinhibition, and susceptibility to hunger) and the body mass index (BMI) in a sample of the Saudi population. Thus, this study examines the relationship between the BMI and eating behaviours of Saudi female students, using the scores of the TFEQ subscales.
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