Results 131 to 140 of about 548,983 (334)

At what age should people with obesity start colorectal cancer screening?

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Early‐onset colorectal cancer (CRC) incidence is rising in the United States, Canada, and parts of Europe, even as rates in older adults stabilize or decline. Excess body weight, which is a known CRC risk factor, is a potential contributor to this trend.
Teresa Seum   +4 more
wiley   +1 more source

Evaluating Abdominal Obesity by Waist Circumference, Anthropometric Indices and Bioelectrical Impedance Analysis: A Comparative Pilot Study

open access: yesObesity Science & Practice
Introduction Abdominal obesity significantly increases the risk of various health conditions, making accurate assessment crucial for diagnosis and treatment.
Anastasiia Nahorna, Heiner Baur
doaj   +1 more source

Predicting waist circumference from a single CT image: Introducing the mobile app “Measure It” (Preprint)

open access: gold, 2022
A. Masmoudi   +6 more
openalex   +1 more source

Sensitive Period Analysis of Adulthood BMI and Cancer Risk: An Individual Participant Data Meta‐Analysis of Over 720,000 Participants in the ABACus 2 Consortium

open access: yesInternational Journal of Cancer, EarlyView.
Over a dozen cancers have been associated with excess body mass index, primarily in mid‐to‐late adulthood. Whether obesity‐related cancer risk differs across adulthood remains unclear. Using the Sensitive Periods Model and super‐landmarking approaches, this study found that higher BMI increased obesity‐related cancer risk across ages 30–65.
Nadin K. Hawwash   +13 more
wiley   +1 more source

Assessing the relationship between anthropometric indices and visceral adipose tissue: A cross-sectional study in a Qatari population

open access: yesJournal of International Medical Research
Objective To evaluate how body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio reflect visceral adipose tissue as measured by dual-energy X-ray absorptiometry and how these associations differ by sex and age in a Qatari ...
Rawan Ajeen   +5 more
doaj   +1 more source

Development and Validation of Waist Girth-Based Equations to Evaluate Body Composition in Colombian Adults: Rationale and STROBE–Nut-Based Protocol of the F20 Project [PDF]

open access: gold, 2022
Diego A. Bonilla   +9 more
openalex   +1 more source

Systemic and Local Adiposity in the Bone Marrow Microenvironment Associated With Improved Prognosis in Hodgkin Lymphoma: Imaging and Molecular Analysis

open access: yesInternational Journal of Cancer, EarlyView.
Schematic overview of systemic and bone marrow‐specific adiposity in Hodgkin Lymphoma (HL). Body Mass Index was associated with bone marrow (BM) involvement, relapse, and mortality (1). In contrast, increased yellow marrow density was associated with poorer prognosis (2).
Andreia Matos   +22 more
wiley   +1 more source

The mitochondrial DNA copy number and ovary‐related reproductive disorders: A bidirectional two‐sample Mendelian randomization study

open access: yesInternational Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 112-120, April 2025.
Abstract Objective In the present study, a bidirectional two‐sample Mendelian randomization approach was utilized to explore potential causal relationships between mitochondrial DNA copy number (mtDNA‐CN) and ovary‐related reproductive disorders (ORRDs), including ovarian dysfunction, ovarian cyst, polycystic ovary syndrome (PCOS), premature ovarian ...
Ke Peng   +4 more
wiley   +1 more source

Nonlinear association of triglyceride‐glucose body mass index with all‐cause mortality in postmenopausal women, a retrospective cohort study: Evidence from the 2001 to 2014 National Health and nutrition examination survey

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background The triglyceride‐glucose body mass index (TyG‐BMI) is a novel indicator combining an insulin resistance proxy (TyG index) with adiposity. It remains unclear how TyG‐BMI relates to long‐term mortality risk in postmenopausal women, a group prone to metabolic changes after menopause.
Xiliang Wang   +3 more
wiley   +1 more source

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