Aims: The association between lifestyle and metabolic dysfunction-associated steatotic liver disease (MASLD) has been well documented. However, evidence is still limited from vulnerable populations, especially middle-aged and elderly adults with comorbid hypertension and diabetes, who are at higher risk of developing MASLD than the general population. We aimed to examine the potential causal links of a healthy lifestyle with the risk of MASLD in this vulnerable population.
View Article and Find Full Text PDFGlob Health Res Policy
January 2025
Background: As population aging intensifies, it becomes increasingly important to elucidate the casual relationship between aging and changes in population health. Therefore, our study proposed to develop a systematic attribution framework to comprehensively evaluate the health impacts of population aging.
Methods: We used health-adjusted life expectancy (HALE) to measure quality of life and disability-adjusted life years (DALY) to quantify the burden of disease for the population of Guangzhou.
Objective: In the context of aging, Chinese families consisting of more than three generations (grandparents, parents, children) are the norm. The second generation (parents) and other family members may establish a downward (contact only with children) or two-way multi-generational relationship (contact with children and grandparents). These multi-generational relationships may have the potential effect on multimorbidity burden and healthy life expectancy in the second generation, but less is known about the direction and intensity of this effect.
View Article and Find Full Text PDFBackground: Quantitative attribution of the burden of disease due to population aging is an important part of setting meaningful global health priorities. This study comprehensively examines the burden of disease attributable to population aging in 188 countries from 1990 to 2019, incorporates a comprehensive range of diseases, and projects the burden of disease due to population aging till 2050.
Methods: We extracted data from 1990 to 2019 for 188 countries from the Global Burden of Disease Study 2019.