Context: Recent analyses of epidemiological data including the National Health and Nutrition Examination Survey (NHANES) have suggested that the harmful effects of obesity may have decreased over calendar time. The shifting BMI distribution over time coupled with the application of fixed broad BMI categories in these analyses could be a plausible "nuisance contributor" to this observed change in the obesity-associated mortality over calendar time.
Objective: To evaluate the extent to which observed temporal changes in the obesity-mortality association may be due to a shifting population distribution for body mass index (BMI), coupled with analyses based on static, broad BMI categories.
Design, Setting, And Participants: Simulations were conducted using data from NHANES I and III linked with mortality data. Data from NHANES I were used to fit a "true" model treating BMI as a continuous variable. Coefficients estimated from this model were used to simulate mortality for participants in NHANES III. Hence, the population-level association between BMI and mortality in NHANES III was fixed to be identical to the association estimated in NHANES I. Hazard ratios (HRs) for obesity categories based on BMI for NHANES III with simulated mortality data were compared to the corresponding estimated HRs from NHANES I.
Main Outcome Measures: Change in hazard ratios for simulated data in NHANES III compared to observed estimates from NHANES I.
Results: On average, hazard ratios for NHANES III based on simulated mortality data were 29.3% lower than the estimates from NHANES I using observed mortality follow-up. This reduction accounted for roughly three-fourths of the apparent decrease in the obesity-mortality association observed in a previous analysis of these data.
Conclusions: Some of the apparent diminution of the association between obesity and mortality may be an artifact of treating BMI as a categorical variable.
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http://dx.doi.org/10.1016/j.exger.2016.09.015 | DOI Listing |
Appl Physiol Nutr Metab
January 2025
Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Canadian children consume a significant proportion of daily foods at school, do not benefit from any federal school food program, and have historically inadequate diets. Assessment of dietary intakes at school can inform policy discussions for the design, funding, and delivery of school-based nutrition interventions. The objectives were to examine the most recent nationally representative dietary intake data of Canadian children at school by (i) location of food preparation, (ii) meal occasion, and (iii) as a proportion of total daily intakes.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Department of Pediatrics, Guangdong Provincial People's Hospital, The Second School of Clinical Medicine, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.
Background: Hepatic glycogen storage diseases (GSD) are inborn errors of metabolism with abnormal storage or utilization of glycogen, a complex disease with significant genetic heterogeneity and similar clinical manifestations. This study aimed to describe the gastrointestinal symptoms and endoscopic features of hepatic GSD, including types Ia, Ib, III, VI, and IX, to provide evidence for etiology and treatment.
Methods: A national cohort survey questionnaire was distributed to patients diagnosed with GSD type Ia, Ib, III, VI, and IX through genetic testing or their parents in mainland China in May 2022.
Glob Epidemiol
June 2025
Business Analytics (BANA) Program, Business School, University of Colorado, 1475 Lawrence St. Denver, CO 80217-3364, USA.
AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results. This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. Through AI-guided analyses using relatively recent and advanced methods such as Individual Conditional Expectation (ICE) plots using Random Survival Forests and Heterogeneous Treatment Effects (HTEs) estimated using Causal Survival Forests, population-level exposure-response functions can be disaggregated into individual-level exposure-response functions.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Ambulatory Surgery Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China. Electronic address:
Background: Individuals with metabolic syndrome (MetS) are at a higher risk of developing depressive symptoms, with inflammation hypothesized to mediate this association. This study used data from the National Health and Nutrition Examination Survey (NHANES) (2015-2020) to investigate the relationship between MetS and depression and assess the mediating role of inflammatory markers.
Methods: This cross-sectional study included 20,520 participants.
Nutrients
January 2025
Division of Epidemiology, Vanderbilt Epidemiology Center, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Unlabelled: Metabolic dysfunction associated steatotic liver disease (MASLD) has been associated with increased risks of all-cause and cardiovascular disease (CVD) mortality. Identification of modifiable risk factors that may contribute to higher risks of mortality could facilitate targeted and intensive intervention strategies in this population. This study aims to examine whether the magnesium depletion score (MDS) is associated with all-cause and CVD mortality among individuals with MASLD or metabolic and alcohol associated liver disease (MetALD).
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