Dietary intake of total phospholipids (PLs) accounts for approximately 10% of total dietary lipids. Each PL molecular class has various beneficial effects on health. However, limited information is available regarding the intake of phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), lysophosphatidylcholine (LPC) and sphingomyelin (SM) among Japanese people, and the relevant food sources. In this study, we quantified the contents of PC, PE, PI, PS, LPC, and SM in 120 meal samples served in a Japanese company's dormitory and cafeteria. Additionally, we measured the weight of each food group and estimated the contents of nutrients in these meals. Furthermore, we conducted a stepwise multiple regression analysis to identify predictors (food groups) of each PL class intake. The contents of total PL, PC, PE, PI+PS, LPC, and SM (mean value) were 4.44, 2.17, 0.632, 0.123, 0.313, and 0.127 g/d, respectively. These values were considered as daily PL intake in accordance with data (three macronutrients, vitamins, and minerals) from our study and the National Health and Nutrition Survey (NHNS) Japan, 2015. The content of eggs, meat, fish and shellfish, milk, pulses, fruits, mushrooms, cereals, and fats and oils in the meals predicted the PL and PC contents. The content of eggs, pulses, and mushrooms in the meals predicted the PE contents. Our results determined the daily intake of PL molecular classes among Japanese people and the food sources of PC and PE, and suggested that multiple regression analysis is useful for the prediction of food sources of bioactive components.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3177/jnsv.64.215 | DOI Listing |
BJU Int
January 2025
IQ Health science department, Radboud University Medical Center, Nijmegen, The Netherlands.
Objectives: To evaluate the association of pre- and post-diagnosis fluid intake with non-muscle-invasive bladder cancer (NMIBC) recurrence and progression risk.
Patients And Methods: Data were used from the multicentre prospective cohort study UroLife. Participants reported pre-diagnosis fluid intake at 6 weeks (food frequency questionnaire [FFQ]) (n = 1322) and post-diagnosis fluid intake at 3 and 15 months (FFQ and 4-day 24-h fluid diaries) (n = 1275) after diagnosis.
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFBMC Nurs
January 2025
Department of Nursing Science, Faculty of Medicine, University of Malaya, Kuala Lumpur, 50603, Malaysia.
Background: Nursing is a caring profession for which compassion is a core value. Increasing stress and declining job satisfaction are among the major challenges in nursing. Demographic and work-related factors may influence nurses' compassion satisfaction and compassion fatigue (i.
View Article and Find Full Text PDFAIDS Behav
January 2025
Division of Infectious Diseases, Amsterdam University Medical Center, University of Amsterdam, G7, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
People with HIV (PWH) are at greater risk of experiencing mental health problems, such as depression and post-traumatic stress disorder (PTSD). The purpose of our study was to determine the prevalence of posttraumatic stress disorder PTSD in PWH. PWH in care Amsterdam University Medical center (Amsterdam UMC) with access to the electronic patient portal were offered patient-reported outcome measures (PROMs) between May 2022 and May 2023, including the PC-PTSD-5 screen for PTSD as part of routine clinical care.
View Article and Find Full Text PDFSci Rep
January 2025
Imaging Department, Yantaishan Hospital, Yantai, China.
Noise-induced hearing loss (NIHL) is a common occupational condition. The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sMRI) by applying machine learning methods. fMRI indices such as the amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), degree of centrality (DC), and sMRI indices such as gray matter volume (GMV), white matter volume (WMV), and cortical thickness were extracted from each brain region.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!