Objectives: To evaluate the prevalence of weight discrimination (the perception of being treated unfairly based on weight) and its sociodemographic associations among early adolescents aged 10 to 13 in the United States.
Methods: We analyzed cross-sectional data from the Adolescent Brain Cognitive Development (ABCD) Study in Year Two (2018-2020). Multivariable logistic regression analyses were conducted, with perceived weight discrimination as the dependent variable and age, sex, sexual orientation, race and ethnicity, body mass index (BMI) category, household income, and highest parental education level as adjusted independent variables. Interaction with BMI category and weight discrimination by sex, sexual orientation, race and ethnicity, and household income was tested for.
Results: In our analytical sample (N = 7129), we found that 5.46 % of early adolescents reported experiencing weight discrimination. Adolescents with BMI percentile ≥95th (adjusted odds ratio [AOR], 6.41; 95 % confidence interval [CI], 4.71-8.70), <5th (AOR, 3.85; 95 % CI, 2.10-7.07), and ≥85th to <95th (AOR, 2.22; 95 % CI, 1.51-3.25) had higher odds of experiencing weight discrimination compared to adolescents with BMI percentile 5th to <85th. Sex and race and ethnicity modified the relationship between BMI category and weight discrimination. Adolescents who identified as gay/bisexual (AOR, 3.46; 95 % CI, 2.19-5.45) had higher odds of experiencing weight discrimination compared with heterosexual adolescents.
Conclusions: Our results underscore the need for anti-bullying campaigns and positive media representation of all body types. Clinicians should recognize that sexual minority youth disproportionately experience weight discrimination, emphasizing the need for affirmative healthcare and early intervention to prevent the mental health impacts of such discrimination.
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http://dx.doi.org/10.1016/j.pmedr.2024.102892 | DOI Listing |
Background Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR. Methods Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
View Article and Find Full Text PDFBMC Public Health
January 2025
Vocational School of Health Services, Medical Services and Techniques Department, First and Emergency Aid Programme, Bayburt University, Bayburt, 69000, Turkey.
Aim: Identifying the risks of metabolic syndrome (MetS) can lead to early targeted interventions and thus contribute to improved quality of life by reducing the risk of developing MetS, diabetes or heart disease in the future. We aimed to develop a valid and reliable measurement tool to measure the MetS risk of the population.
Materials And Methods: In the methodological study, an item pool was created by reviewing the literature.
Prog Neuropsychopharmacol Biol Psychiatry
January 2025
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Department of Biomedical Engineering, New Jersey Institute of Technology, 11, Newark, NJ, 07102, USA. Electronic address:
Attention-deficit hyperactivity disorder (ADHD) is a heterogenous behavioral disorder with inattention, hyperactivity and impulsivity symptoms, indicating the important implication of identifying biotypes and its epicenters in understanding disease's pathogenesis. The study investigated the neuromorphic heterogeneity relating to transcriptional similarity architecture in ADHD, and further analyzed the epicenters of network-spreading in each ADHD biotype and their correlations with clinical characteristics. Individuals with ADHD could be identified into two discriminative biotypes that exhibited distinct neuromorphic aberrances.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Capital Normal University, 105, North West Sanhuan Road, Haidian District, Beijing, Beijing, None Selected, 100048, CHINA.
Objective: Low-dose computed tomography (LDCT) has gained significant attention in hospitals and clinics as a popular imaging modality for reducing the risk of X-ray radiation. However, reconstructed LDCT images often suffer from undesired noise and artifacts, which can negatively impact diagnostic accuracy. This study aims to develop a novel approach to improve LDCT imaging performance.
View Article and Find Full Text PDFJ Comput Assist Tomogr
November 2024
From the Diagnostic Radiology Department, Faculty of Medicine, Mansoura University-Egypt, Mansoura, Egypt.
Objective: The aim of the study is to assess the diagnostic performance of quantitative analysis of diffusion-weighted imaging in assessing treatment response in cervical cancer patients.
Methods: A retrospective analysis was done for 50 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy and underwent magnetic resonance imaging and diffusion-weighted imaging. Treatment response was classified into 4 categories according to RECIST criteria 6 months after therapy completion.
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