Being born prematurely associates with greater cardiovascular disease (CVD) risk in adulthood. Less understood are the unique and joint associations of dietary patterns and behaviors to this elevated risk among adults who are born prematurely. We aimed to model the associations between term status, dietary and lifestyle behaviors with CVD risk factors while accounting for the longitudinal effects of family protection, and medical or environmental risks. In wave-VIII of a longitudinal study, 23-year olds born prematurely (PT-adults, n = 129) and full term (FT-adults, n = 38) survey-reported liking for foods/beverages and activities, constructed into indexes of dietary quality and sensation-seeking, dietary restraint and physical activity. Measured CVD risk factors included fasting serum lipids and glucose, blood pressure and adiposity. In bivariate relationships, PT-adults reported lower dietary quality (including less affinity for protein-rich foods and higher affinity for sweets), less liking for sensation-seeking foods/activities, and less restrained eating than did FT-adults. In comparison to nationally-representative values and the FT-adults, PT-adults showed greater level of CVD risk factors for blood pressure and serum lipids. In structural equation modeling, dietary quality completely mediated the association between term status and HDL-cholesterol (higher quality, lower HDL-cholesterol) yet joined term status to explain variability in systolic blood pressure (PT-adults with lowest dietary quality had highest blood pressures). Through lower dietary quality, being born prematurely was indirectly linked to higher cholesterol/HDL, higher LDL/HDL and elevated waist/hip ratios. The relationship between dietary quality and CVD risk was strongest for PT-adults who had developed greater cumulative medical risk. Protective environments failed to attenuate relationships between dietary quality and elevated CVD risk among PT-adults. In summary, less healthy dietary behaviors contribute to elevated CVD risk among young adults who are born prematurely.
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http://dx.doi.org/10.1016/j.appet.2016.01.007 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Background: Oxidative stress has an important role in type 2 diabetes (T2D). Oxidative balance score (OBS) is an emerging assessment of dietary and lifestyle oxidative balance. We aimed to explore the association of OBS with cardiovascular disease (CVD) and all-cause and CVD mortality in the T2D population through NHANES 1999-2018.
View Article and Find Full Text PDFBMC Med
December 2024
General Practice Ward/International Medical Center Ward, General Practice Medical Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Background: Previous studies have identified sarcopenia as a significant risk factor for cardiovascular disease (CVD). However, these studies primarily focused on sarcopenia status at baseline, without considering changes in sarcopenia status during follow-up. The aim of this study is to investigate the association between changes in sarcopenia status and the incidence of new-onset cardiovascular disease.
View Article and Find Full Text PDFJ Affect Disord
December 2024
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands; Amsterdam Public Health, Aging & Later life, and Personalized Medicine, Amsterdam, the Netherlands; Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, the Netherlands; Amsterdam UMC, University of Amsterdam, Department of General Practice, Meibergdreef 9, Amsterdam, the Netherlands. Electronic address:
Background: Middle-aged and older adults presenting clinically relevant depressive symptoms are often undiagnosed. Understanding the determinants of late-life depressive symptoms could improve prognosis. Further, individuals with manifest cardiovascular disease (CVD) are at an increased risk of depression.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of VIP Region, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Background: It is necessary to find latent indicators to predict the survival of alcohol-associated liver disease (ALD) patients. Leukocyte telomere length (LTL) was regarded as an indicator of prognosis in several diseases. However, the relationships between LTL and survival as well as cause-specific mortality in ALD patients were still unknown.
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