Probiotic, Postbiotic, and Paraprobiotic Effects of Lactobacillus rhamnosus as a Modulator of Obesity-Associated Factors DOI Creative Commons
Gabriela López-Almada, María Esther Mejía-León, Norma Julieta Salazar‐López

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(22), P. 3529 - 3529

Published: Nov. 5, 2024

Obesity is a pandemic currently affecting the world's population that decreases quality of life and promotes development chronic non-communicable diseases.

Language: Английский

Definition and diagnostic criteria of clinical obesity DOI
Francesco Rubino,

David E. Cummings,

Robert H. Eckel

et al.

The Lancet Diabetes & Endocrinology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

83

Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity DOI Open Access
Yilun Wu, Dan Li, Sten H. Vermund

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2024, Volume and Issue: 21(6), P. 757 - 757

Published: June 10, 2024

Obesity reflects excessive fat deposits. At-risk individuals are guided by healthcare professionals to eat fewer calories and exercise more, often using body mass index (BMI; weight/height2) thresholds for screening guide progress prognosis. By conducting a mini-narrative review of original articles, websites, editorials, commentaries, guidelines, we sought place BMI in the context its appropriate use population health, clinical screening, monitoring care. The covers studies publications through 2023, encompassing consensus reviews relevant literature. Recent suggest that is valuable tool surveys primary but has limitations predicting risk chronic diseases assessing excess fat. can nutritional counseling, even if it inadequate reliable individual prediction. cut-offs must be reconsidered populations varying build, age, and/or ethnicity. Since BMI-diagnosed overweight persons sometimes physically physiologically fit other indicators, who on should more fully evaluated, diagnosed, monitored with combined anthropometric performance metrics better clarify risks. involves integrating measurements composition assessments physical function fitness provide comprehensive evaluation an individual’s health status. Eligibility bariatric surgery or semaglutide satiety/appetite-reduction medications not determined alone. Awareness advantages as assess adult obesity maximize rapid evaluation.

Language: Английский

Citations

52

The joint and interactive effects of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and body mass index on the risk of depression, as well as the mediating role of NHHR: results from NHANES 2005–2023 DOI Creative Commons
Lingling Zhang, Yi Lai, Long Yan

et al.

Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 28, 2025

Various research in the past has indicated that NHHR, which represents ratio of non-high-density lipoprotein cholesterol (non-HDL-C) to high-density (HDL-C), and body mass index (BMI) each act independently as contributors depression risk. Nonetheless, studies exploring combination NHHR with BMI relation are limited. Consequently, central aim this study is investigating joint interactive effects on risk, well mediating role NHHR. Encompassing participants aged 20 years or over, incorporated a total 39,704 individuals from National Health Nutrition Examination Survey (NHANES), covered period 2005 2023. To analyze impact its depression, our analytical approach included multivariate logistic regression, restricted cubic spline modeling, interaction testing subgroup analyses. Additionally, we studied BMI. Finally, applied four-way decomposition analysis method examine interactions within aforementioned relationships. Among all study, prevalence depressive disorder (Patient Questionnaire-9 score ≥ 10) was 9.2%. Both were associated remained significant even after full adjustment for covariates [NHHR, OR (95% CI): 1.07 (1.04–1.09); BMI, 1.02 (1.02–1.03)]. Compared reference group, CI) highest groups their product term NHHR-BMI 1.41 (1.24–1.61), 1.35 (1.18–1.54), 1.59 (1.37–1.84), respectively. Participants fourth quartile exceeding 30 kg/m², had higher risk compared other first below 25 kg/m² [OR 1.64 (1.34-2.00)]. Results analyses played association between effect accounting 17.6%. Similarly, also mediated 11.0% PHQ-9 score. However, no related found general population. After stratifying by gender, it statistically males. Depression linked both depression. Notably, there non-negligible male participants. considering individually, when combined terms two quartiles. These findings suggest assessment these indicators may help deepen understanding evaluation enhance accuracy stratification, worthy further research.

Language: Английский

Citations

2

The impact of obesity on reproductive health and metabolism in reproductive-age females DOI
Samantha B. Schon, Hannah E. Cabre, Leanne M. Redman

et al.

Fertility and Sterility, Journal Year: 2024, Volume and Issue: 122(2), P. 194 - 203

Published: May 3, 2024

Language: Английский

Citations

15

Obesity and male fertility disorders DOI Creative Commons
Rossella Cannarella, Andrea Crafa, Roberto Curto

et al.

Molecular Aspects of Medicine, Journal Year: 2024, Volume and Issue: 97, P. 101273 - 101273

Published: April 8, 2024

Often associated with obesity, male infertility represents a widespread condition that challenges the wellbeing of couple. In this article, we provide comprehensive and critical analysis studies exploring association between obesity reproductive function, to evaluate frequency association, establish effects increased body weight on conventional biofunctional sperm parameters infertility. an attempt find possible molecular markers in obese patients, numerous mechanisms responsible for overweight/obese patients are reviewed depth. These include obesity-related functional hypogonadism, insulin resistance, hyperinsulinemia, chronic inflammation, adipokines, irisin, gut hormones, microbiome, transcriptome. According meta-analytic evidence, excessive negatively influences health. This can occurr through broad array mechanisms. Some these not yet fully understood need be further elucidated future. A better understanding metabolic disorders spermatogenesis fertilizing capacity is very useful identifying new diagnostic designing therapeutic strategies clinical management

Language: Английский

Citations

13

Retrospective Cross-Sectional Study of the Relationship of Thyroid Volume and Function with Anthropometric Measurements, Body Composition Analysis Parameters, and the Diagnosis of Metabolic Syndrome in Euthyroid People Aged 18–65 DOI Creative Commons
Grzegorz K. Jakubiak, Natalia Pawlas, Małgorzata Morawiecka-Pietrzak

et al.

Medicina, Journal Year: 2024, Volume and Issue: 60(7), P. 1080 - 1080

Published: June 30, 2024

Background and Objectives: The thyroid is a key endocrine gland for the regulation of metabolic processes. A body composition analysis (BCA) valuable complement to assessment mass index, which derived only from weight height. This cross-sectional retrospective study aimed investigate relationships between volume (TV) function parameters, anthropometric measurements, BCA presence syndrome (MetS) in adults without clinically overt disease. Material Methods: involved 45 people (females: 57.8%; MetS: 28.9%) hospitalized planned diagnostics signs acute illness or deterioration their health disease, who underwent ultrasound scans, biochemical tests assess function, MetS assessments, BCAs using bioelectrical impedance method. Results: TV was significantly larger with compared MetS. higher serum thyrotropin (TSH) concentration lower overweight obese than normal underweight people. free triiodothyronine (FT3) were correlated waist circumference some parameters BCA, FT3 also waist–hip ratio, waist–height ratio. No significant correlations found FT4 TSH results measurements. Conclusions: Even population euthyroid patients there BCAs, features.

Language: Английский

Citations

12

Liver and cardiovascular outcomes in lean non-alcoholic fatty liver disease: an updated systematic review and meta-analysis of about 1 million individuals DOI
Matheus Souza, Ivanna Diaz, Lubna Al‐Sharif

et al.

Hepatology International, Journal Year: 2024, Volume and Issue: 18(5), P. 1396 - 1415

Published: Aug. 8, 2024

Language: Английский

Citations

10

Effects of biological therapies on patients with Type-2 high asthma and comorbid obesity DOI Creative Commons

Diya Garg,

Loretta G. Que, Jennifer L. Ingram

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 8, 2024

Over 20 million adults and 6 children in the United States (US) have asthma, a chronic respiratory disease characterized by airway inflammation, bronchoconstriction, mucus hypersecretion. Obesity, another highly prevalent US, is major risk factor for asthma significant cause of diminished control, increased submucosal eosinophilia, reduced quality life. A large subgroup these patients experiences severe symptoms recurrent exacerbations despite maximal dosage standard therapies. In past two decades, development biological therapies has revolutionized field advanced our understanding type 2 inflammatory biomarkers. However, with obesity comorbid are not principally considered clinical trials biologics. Large landmark cluster analyses consistently identified specific phenotypes that associate but may be differentiated age onset cell profiles sputum. These patterns suggest biologic processes driving pathology heterogenous among obesity. The mechanisms well understood likely multifactorial. Future research needs to done elicit cellular metabolic functions relationship yield best treatment options this multiplex condition. review, we explore key features inflammation discuss effectiveness, safety profile, gaps regarding currently approved

Language: Английский

Citations

9

Advances in body composition: a 100-year journey DOI Creative Commons
Steven B. Heymsfield

International Journal of Obesity, Journal Year: 2024, Volume and Issue: unknown

Published: April 20, 2024

Abstract Knowledge of human body composition at the dawn twentieth century was based largely on cadaver studies and chemical analyses isolated organs tissues. Matters soon changed by nineteen twenties when Czech anthropologist Jindřich Matiegka introduced an influential new anthropometric method fractionating mass into subcutaneous adipose tissue other major components. Today, one later, investigators can not only quantify every component in vivo atomic, molecular, cellular, tissue-organ, whole-body organizational levels, but go far beyond to organ tissue-specific metabolite estimates. These advances are leading improved understanding adiposity structure-function relations, discovery obesity phenotypes, a mechanistic basis some weight-related pathophysiological processes adverse clinical outcomes. What factors over past hundred years combined generate these profound measurement capabilities living humans? This perspective tracks origins scientific innovations with aim providing insights current methodology gaps future research needs.

Language: Английский

Citations

9

Adult obesity diagnostic tool: A narrative review DOI Creative Commons
Xiaolong Liu, Mengxiao He, Yi Li

et al.

Medicine, Journal Year: 2024, Volume and Issue: 103(17), P. e37946 - e37946

Published: April 26, 2024

Obesity is a complex chronic metabolic disorder characterized by abnormalities in lipid metabolism. not only associated with various diseases but also has negative effects on physiological functions such as the cardiovascular, endocrine and immune systems. As global health problem, incidence prevalence of obesity have increased significantly recent years. Therefore, understanding assessment methods measurement indicators for critical early screening effective disease control. Current measuring adult include density calculation, anthropometric measurements, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, computerized imaging, etc. Measurement mainly weight, hip circumference, waist neck skinfold thickness, This paper provides comprehensive review literature to date, summarizes analyzes obesity, insights guidance innovation indicators.

Language: Английский

Citations

9