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Background: Gallstones are strongly associated with eating occasion (EO) and energy distribution, but few studies have addressed this aspect. Therefore, we utilize the data from 2017 to 2018 National Health and Nutrition Examination Survey (NHANES) to explore the association between temporal eating patterns and energy distribution patterns with the incidence of gallstones.
Methods: Our study comprised participants who completed the NHANES dietary intake interview and self-reported health questionnaire at age 20 or older. The self-report method for gallstones (have you ever been told by a doctor) was used. We use the latent class analysis (LCA) identified temporal eating patterns, and identified energy distribution patterns through latent profile analysis (LPA). The association between temporal eating patterns, energy distribution patterns, and gallstones was examined using logistic regression modeling.
Results: The study included a total of 4,692 participants. LCA identified four temporal eating patterns labeled as "Conventional," "Early breakfast," "Later breakfast," and "Grazing." Compared to the "Conventional" pattern, the "Early breakfast" pattern (OR 0.809, 95%CI 0.808-0.811) was associated with a reduced risk of gallstones, while the "Later breakfast" (OR 1.435, 95%CI 1.432-1.438) and "Grazing" (OR 1.147, 95%CI 1.145-1.148) patterns were associated with an increased risk of gallstones. LPA identified four energy distribution patterns labeled as "Guideline," "High carbohydrates," "Carbs-fat balance," and "High fat." The "High carbohydrates" pattern (OR 1.329, 95%CI 1.326-1.331) was associated with an increased risk of gallstones compared to the "Guideline" pattern. The "Carbs-fat balance" pattern (OR 0.877, 95%CI 0.876-0.879) and the "High fat" pattern (OR 0.848, 95%CI 0.846-0.850) were significantly and negatively associated with the risk of gallstones.
Conclusions: To summarize, inappropriate timing of eating and energy sources are associated with gallstones. As a dietary prevention measure for gallstones, we suggest adhering to a regular eating routine and avoiding overly casual and frequent food consumption. If the main EO routine occurs in the morning, this time should not exceed 9:00 a.m. Additionally, reducing carbohydrate intake and maintaining a moderate level of fat intake is believed to contribute to a lower risk of gallstones.
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http://dx.doi.org/10.1186/s12889-024-20512-x | DOI Listing |
Environ Res
September 2025
Thrust of Sustainable Energy and Environment, Function Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 510000, China. Electronic address:
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School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China. Electronic address:
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Kahramanmaraş İstiklal University, Department of Energy Systems Engineering, Kahramanmaraş, Türkiye.
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View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
The Steve Sanghi College of Engineering, Mechanical Engineering, Northern Arizona University, Flagstaff, Arizona 86011, United States.
This study investigates the HO and CO sorption behavior of two chemically distinct polystyrene-divinylbenzene-based ion exchange sorbents: a primary amine and a permanently charged strong base quaternary ammonium (QA) group with (bi)carbonate counter anions. We compare their distinct interactions with HO and CO through simultaneous thermal gravimetric, calorimetric, gas analysis, and molecular modeling approaches to evaluate their performance for dilute CO separations like direct air capture. Thermal and hybrid (heat + low-temperature hydration) desorption experiments demonstrate that the QA-based sorbent binds both water and CO more strongly than the amine counterparts but undergoes degradation at moderate temperatures, limiting its compatibility with thermal swing regeneration.
View Article and Find Full Text PDFPLoS One
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College of Business Administration, Northern Border University (NBU), Arar, Kingdom of Saudi Arabia.
The increasing dependence on cloud computing as a cornerstone of modern technological infrastructures has introduced significant challenges in resource management. Traditional load-balancing techniques often prove inadequate in addressing cloud environments' dynamic and complex nature, resulting in suboptimal resource utilization and heightened operational costs. This paper presents a novel smart load-balancing strategy incorporating advanced techniques to mitigate these limitations.
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