This study examines changes in the Yale Food Addiction Scale symptom count over a 24-week, weight-loss mobile Health (mHealth) intervention incorporating elements of addiction medicine. Adolescents ( = 117) with obesity (15.5 ± 1.3 years; 66% Hispanic) were randomized to the following: (1) mHealth intervention (AppAlone), (2) mHealth intervention+coaching (AppCoach), or (3) in-person intervention (Control). A multivariate mixed Poisson regression model was used to evaluate changes in symptom counts across intervention arms after adjusting for sex, age, depressive symptomatology, stress, and executive function. After the intervention, 57% of adolescents showed a decrease in symptom count (median change: -0.3 [0 to -1.5]), with a significant change by intervention arm in the intention-to-treat analysis ( = 0.045). There was a positive linear relationship between change in symptom count and change in depressive symptomatology ( < 0.01) and stress ( < 0.01), with no association with change in weight ( = 0.3). Both mHealth and in-person obesity interventions seemed to confer benefits in food addiction symptomatology associated with change in mood and stress. Clinical Trial Registration number: NCT035008353.
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http://dx.doi.org/10.1089/chi.2021.0271 | DOI Listing |
Clin Rheumatol
January 2025
Department of Rheumatology and Immunology, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Objective: Retroperitoneal fibrosis (RPF) is a rare condition marked by inflammation and fibrosis affecting the peritoneal and retroperitoneal soft tissues. In recent years, the identification of IgG4-related diseases has brought to light a significant association with fibrous disorders, including RPF, which were once considered independent. In this comprehensive cohort study, we performed a comparative analysis of the demographic, clinical, laboratory, histopathological, and therapeutic characteristics between patients with IgG4-related RPF and those with idiopathic retroperitoneal fibrosis (iRPF).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Anus and Intestine Surgery, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang City, 550004, Guizhou Province, China.
This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count.
View Article and Find Full Text PDFBackground: Current guidelines recommend empiric antibiotic therapy for patients who require hospitalization for community-acquired pneumonia (CAP). We sought to determine whether clinical, imaging or laboratory features in patients hospitalized for CAP in whom PCR is positive for a respiratory virus enable exclusion of bacterial coinfection so that antibiotics can be withheld.
Methods: For this prospective study, we selected patients in whom an etiologic diagnosis was likely to be reached, namely those who provided a high-quality sputum sample at or shortly after admission, and in whom PCR was done to test for a respiratory virus.
Sci Rep
January 2025
Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.
In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.
View Article and Find Full Text PDFJ Cardiothorac Surg
January 2025
Department of Hematology, Jinhua People's Hospital, No.267, Danxi East Road, Jinhua, 321000, Zhejiang, P.R. China.
Objective: Depression is a common comorbidity in cardiovascular disease (CVD), and both conditions are associated with chronic inflammation. The systemic immune-inflammation index (SII) has emerged as a promising marker of systemic inflammation, but its role in association with depressive symptoms, particularly in the context of CVD, remains unclear. This study aims to investigate the association of SII with depressive symptoms in individuals with and without CVD using cross-sectional data from NHANES (2005-2016).
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