Obesity is a chronic disease characterized by the excessive accumulation of body fat that is harmful to the individuals. Respiratory disorders are among the comorbidities associated with obesity. This study had the objective of investigating the alterations in respiratory function that affect obese individuals. A systematic review was performed, by selecting publications in the science databases MEDLINE and LILACS, using PubMed and SciELO. The articles that assessed pulmonary function by plethysmography and/or spirometry in obese individuals aged under 18 years were included. The results demonstrated that the obese individuals presented with a reduction in lung volume and capacity as compared to healthy individuals. Reduction of total lung capacity and reduction of forced vital capacity, accompanied by reduction of the forced expiratory volume after one second were the most representative findings in the samples. The articles analyzed proved the presence of a restrictive respiratory pattern associated with obesity.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898251 | PMC |
http://dx.doi.org/10.1590/s1679-45082014rw2691 | DOI Listing |
JMIR Form Res
January 2025
Graduate School of Public Health Policy, City University of New York, New York, NY, United States.
Background: Childhood obesity prevalence remains high, especially in racial and ethnic minority populations with low incomes. This epidemic is attributed to various dietary behaviors, including increased consumption of energy-dense foods and sugary beverages and decreased intake of fruits and vegetables. Interactive, technology-based approaches are emerging as promising tools to support health behavior changes.
View Article and Find Full Text PDFObes Surg
January 2025
Medical Department, Ålesund Hospital, Møre Og Romsdal Hospital Trust, 6026, Ålesund, Norway.
Background: Several studies have documented a beneficial short-term effect on lipid profile after Roux-en-Y gastric bypass (RYGB), but there is limited data on long-term changes.
Objectives: To describe long-term (> 10 years) changes in lipid profile after RYGB and to explore the relationship of lipid changes to changes in weight and baseline and demographic parameters.
Methods: The BAROBS study is a prospective observational study post RYGB conducted at three different hospitals.
Genet Epidemiol
January 2025
Department of Biostatistics, University of Washington, Seattle, Washington, USA.
Integrating multi-omics data may help researchers understand the genetic underpinnings of complex traits and diseases. However, the best ways to integrate multi-omics data and use them to address pressing scientific questions remain a challenge. One important and topical problem is how to assess the aggregate effect of multiple genomic data types (e.
View Article and Find Full Text PDFJ Stud Alcohol Drugs
January 2025
Human Psychopharmacology Laboratory, Division of Intramural Clinical and Biological Research (DICBR), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, Maryland, USA.
Background: A low level of response (LR) to alcohol is a known risk factor for alcohol use disorder (AUD). Although higher total body water (TBW) is associated with lower blood alcohol concentrations and reduced responses following alcohol consumption, the relationship between morphometric measures such as body mass index (BMI) and LR is less clear. This study aimed to examine the relationship between BMI and LR to alcohol, and the contribution of TBW to this relationship.
View Article and Find Full Text PDFCroat Med J
December 2024
Haxhi Kamberi, Faculty of Medicine, University of Gjakova "Fehmi Agani", Str. "Sabrije Vokshi-Bija", n.n., 50 000 Gjakova, Kosovo,
Aim: To assess the behavioral correlates of health literacy (HL) among university students of health sciences in Kosovo, irrespective of their sociodemographic characteristics.
Methods: This cross-sectional study, carried out in Kosovo in 2024, enrolled 470 students of health sciences from the universities of Prishtina and Gjakova (86% women; mean age: 20.7±2.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!