Objective: Various lifestyle factors including smoking, alcohol, physical activity, sedentary behavior, diet quality, sleep behavior, and overweight have been related to metabolic dysfunction-associated steatotic liver disease (MASLD); however, their joint impact on risk of MASLD is not well known. We prospectively investigated the association between a combination of lifestyle factors and risk of MASLD.
Methods: This prospective cohort study included 13,303 participants (mean age: 39.1 ± 11.3 years, female: 60.1%) in China. A novel healthy lifestyle score was created combining seven healthy factors: not smoking, no alcohol intake, regular physical activity, short sedentary time, healthy diet, healthy sleep, and healthy weight. Incident MASLD cases were ascertained annually by liver ultrasound and cardiometabolic risk factors. Multivariable Cox proportional hazards regression models were used to estimate the association of healthy lifestyle score with risk of MASLD.
Results: Within 48,036 person-years of follow-up, 2823 participants developed MASLD. After adjusting for age, sex, education, occupation, household income, personal and family history of disease, and total energy intake, compared with participants with 0-2 healthy lifestyle factors, the multivariable hazard ratios (95% confidence interval) of MASLD were 0.81 (0.73, 0.89), 0.67 (0.61, 0.75), and 0.55 (0.49, 0.62) for healthy lifestyle score of 3, 4, and 5-7, respectively (P for trend <0.0001). Such associations were consistent across subgroup and sensitivity analyses.
Conclusion: Our results indicate that a higher healthy lifestyle score is associated with a lower risk of MASLD.
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http://dx.doi.org/10.1016/j.ypmed.2024.107971 | DOI Listing |
Diabetes Metab Res Rev
January 2025
Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, Australia.
Aim: To synthesise the evidence from clinical trials and observational studies using omics techniques to investigate the impact of diet and lifestyle factors on metabolite profile in pregnancy, and in the prevention and management of gestational diabetes mellitus (GDM).
Materials And Methods: A systematic literature search was performed using PubMed, Ovid, CINAHL, and Web of Science databases in October 2023 and updated in September 2024. Inclusion criteria were randomised controlled trials (RCT) or non-RCTs in pregnant women with or without GDM, that measured diet and lifestyle factors, and which applied post-transcriptional omics approaches.
J Prev Alzheimers Dis
January 2025
School of Psychology, University of New South Wales, Sydney, NSW 2057, Australia; Neuroscience Research Australia, Margarete Ainsworth Building, 139 Barker St, Randwick NSW 2031, Australia. Electronic address:
Background: A brain healthy lifestyle, consisting of good cardiometabolic health and being cognitively and socially active in midlife, is associated with a lower risk of cognitive decline years later. However, it is unclear whether lifestyle changes over time also affect the risk for mild cognitive impairment (MCI)/dementia, and rate of cognitive decline.
Objectives: To investigate if lifestyle changes over time are associated with incident MCI/dementia risk and rate of cognitive decline.
Clin Gastroenterol Hepatol
January 2025
Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX. Electronic address:
Hepatocellular carcinoma (HCC) is a major concern for public health. Fatty liver disease, related to alcohol misuse or metabolic syndrome, has become the leading cause of chronic liver disease and HCC. The strong association between type 2 diabetes mellitus and HCC can be partly attributed to the development of metabolic dysfunction associated steatotic liver disease (MASLD).
View Article and Find Full Text PDFPharmacol Res
January 2025
College of Biological and Food Engineering, Qujing Normal University, 655011, Qujing, Yunnan, China. Electronic address:
The hallmarks of aging encompass a variety of molecular categories (genomic, telomeric, and epigenetic), organelles (proteostasis, autophagy, and mitochondria), cellular components (including stem cells), systems (such as intercellular communication and chronic inflammation), and environmental factors (dysbiosis and nutrient sensing). These hallmarks play a crucial role in the aging process. Despite their intricate interconnections, the relationships among the hallmarks of aging remain unclear.
View Article and Find Full Text PDFEur J Public Health
January 2025
Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.
Human movement behaviour typically unfolds in 24-h cycles, with children being additionally influenced by their parents. Therefore, the aim of this study was to investigate the adherence of 3-10-year-old children to the World Health Organization's (WHO) 24-h movement behaviour guidelines in relation to the behaviours of their mothers/fathers. Data from the Czech cross-sectional FAMIly Physical Activity, Sedentary behaviour and Sleep study included 381 families (with at least one child aged 3-10 years) from urban and rural areas across all three regions of Czechia.
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