Objective: This study aims to assess the relationship between Food and Nutrition Literacy (FNLIT) and dietary diversity score (DDS); FNLIT and nutrient adequacy (NAR%, MAR%) in school-age children in Iran.
Results: This cross-sectional study was undertaken on 803 primary school students in Tehran, Iran. Socio-economic, as well as three 24-h dietary recalls were collected through interviewing students and their mothers/caregivers. FNLIT was measured by a self-administered locally designed and validated questionnaire. Low level of FFNL was significantly associated with higher odds of low DDS (OR = 2.19, 95% CI 1.32-3.62), the first tertile of fruit diversity score (OR = 3.88, 95% CI 2.14-6.99), and the first tertile of dairy diversity score (OR = 9.60, 95% CI 2.07-44.58). Low level of IFNL was significantly associated with probability of lower meat diversity score (OR = 1.73, 95% CI 1.07-2.81). Low level of FLL was also significantly associated with probability of lower DDS (OR = 1.81, 95% CI 1.11-2.94), dairy diversity score (OR = 2.01, 95% CI 1.02-3.98), and meat diversity score (OR = 2.14, 95% CI 1.32-3.45).Low FNLIT and its subscales were associated with higher odds of low level of NAR of protein, calcium, vitamin B3, B6, B9, as well as the probability of lower level of MAR.
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http://dx.doi.org/10.1186/s13104-020-05123-0 | DOI Listing |
Brief Bioinform
November 2024
School of Science, China Pharmaceutical University, Nanjing 211198, China.
The supervision of novel psychoactive substances (NPSs) is a global problem, and the regulation of NPSs was heavily relied on identifying structural matches in established NPSs databases. However, violators could circumvent legal oversight by altering the side chain structure of recognized NPSs and the existing methods cannot overcome the inaccuracy and lag of supervision. In this study, we propose a scaffold and transformer-based NPS generation and Screening (STNGS) framework to systematically identify and evaluate potential NPSs.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Radiation Oncology, The First Affiliated Hospital of Yan'an University, Yan'an, Shaanxi, China.
Background: With the continuous progress and in-depth implementation of the reform of the medical and health care system, alongside the gradual enhancement of the standardized training framework for residents, such training has become a crucial avenue for cultivating high-level clinicians and improving medical quality. However, due to various constraints and limitations in their own capabilities, residents undergoing standardized training are often susceptible to job burnout during this process. Numerous factors contribute to job burnout, which is closely associated with depression and anxiety.
View Article and Find Full Text PDFSex Med
December 2024
Facultad de Psicología, Universidad Alberto Hurtado, Santiago, 832000, Chile.
Background: The International Index of Erectile Function (IIEF) stands out for its utility and widespread use to measure sexual function in men. However, it lacks consistency in its internal latent structure across studies, has not been evaluated for measurement invariance, and has not undergone psychometric validation for its 15-item form in Spanish among South American countries.
Aim: To examine the IIEF's psychometric evidence (ie, structural/criterion validity and reliability) in a sample of adult men and determine its measurement invariance across relationship status (single vs in a relationship) and age generations (generations Z, Y/millennials, and X).
Alzheimers Res Ther
December 2024
Department of Neurology, Ulm University Hospital, 89081, Ulm, Germany.
Introduction: The differentiation between Alzheimer's disease (AD) and behavioral-variant frontotemporal dementia (bvFTD) can be complicated in the initial phase by shared symptoms and pathophysiological traits. Nevertheless, advancements in understanding AD's diverse pathobiology suggest the potential for establishing blood-based methods for differential diagnosis.
Methods: We devised a novel assay combining immunoprecipitation and mass spectrometry (IP-MS) to quantify Amyloid-beta (Aβ) peptides in plasma.
BMC Med
December 2024
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
Background: Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).
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