Background: Prior study reported that mushroom consumption was associated with a lower incidence of hyperuricemia, but there is limited evidence on this association. We conducted a collaborative study to investigate the association between mushroom intake and hyperuricemia in middle-aged and older populations. Methods: We used data from the National Health and Nutrition Examination Survey (NHANES) in the U.S. (2007–2018) and the National Institute for Longevity Sciences-Longitudinal Study of Aging (NILS-LSA) in Japan (1997–2012). Consumption of mushroom (g/day) were measured by one- or two-day dietary recall in NHANES and by 3-day dietary records in the NILS-LSA. Hyperuricemia was defined using uric acid levels as > 420 μmol/L and > 350 μmol/L in NHANES for men and women, respectively; in the NILS-LSA, serum uric acid was repeatedly measured at baseline and follow-up surveys. Hyperuricemia was defined as uric acid levels > 416.4 μmol/L for men and ≥ 356.9 μmol/L for women. Logistic regression models in NHANES (cross-sectionally) and Generalized Estimation Equations in NILS-LSA (longitudinally) were performed. Results: A total of 5,778 NHANES participants (mean (SD) age: 53.2 (9.6) years) and 1,738 NILS-LSA (mean (SD) age: 53.5 (11.2) years) were included. Mushrooms were consumed by 5.7% of participants in NHANES and 81.2% in NILS-LSA. We did not observe a significant association between mushroom intakes and hyperuricemia in the NHANES men and women. However, in the NILS-LSA, compared to non-consumers, a higher mushroom intake was associated with a lower risk of incident hyperuricemia in men under 65 years old. The adjusted odds ratio (95% CI) for non-consumers, participants with middle, and the highest consumption of mushrooms were 1.00 (Ref.), 0.77 (0.44, 1.36), and 0.55 (0.31, 0.99), respectively (P-trend = 0.036). No association was found in women in NILS-LSA. Conclusions: Mushroom consumption was associated with a lower risk of incident hyperuricemia in Japanese men.

Introduction: Acute pancreatitis (AP) is an inflammatory disease of the exocrine pancreas characterized by tissue damage and sometimes necrosis. However, whether severe AP is associated with an increased risk of incident diabetes remains unclear based on real-world data. This study aims to examine the relationship between severe AP and new-onset diabetes after hospitalization. Methods: We conducted a retrospective cohort study using the Merative™ MarketScan® claims database (2016–2023), identifying patients with AP and no prior history of diabetes at baseline. The exposure, severe AP, was defined by any of the following during hospitalization: pancreatic necrosis, hemodialysis, organ failure, or mechanical ventilation. We used multivariable stratified Cox proportional hazards regression models with propensity score strata to assess the association between severe AP and incident diabetes. Results: The matched study population consisted of 2,046 patients with severe AP and 2,046 patients with mild AP, with baseline characteristics well balanced between groups. Individuals with severe AP had a higher risk of developing diabetes compared with those with mild AP [adjusted hazard ratio (aHR) = 1.64, 95% confidence interval (CI): 1.30–2.06], after accounting for propensity score matching. The association between severe AP and incident diabetes was stronger in men (aHR = 2.03, 95% CI: 1.50–2.74) than in women (aHR = 1.06, 95% CI: 0.69–1.64; P - _interaction = 0.02). Discussion: In this large real-world data study, severe AP was associated with an increased risk of developing diabetes. These findings underscore the importance for glycemic surveillance and the need to consider proactive management of severe AP patients to mitigate their risk of poor health outcomes.

Dietary patterns have been associated with altered risk of diabetes mellitus (DM) in the general population. These patterns can estimate habitual intake of food groups associated with decreased or increased (e.g., greater intake of red meats) risk of DM. This analysis aimed to examine the underexplored associations of four dietary patterns in patients presenting with an acute pancreatitis (AP) diagnosis based on the presence of pre-existing DM. Study participants were selected from the Diabetes RElated to Acute Pancreatitis and its Mechanisms (DREAM) study, an ongoing, multicenter study of adults (18–75 years) with AP in the US. This is a cross-sectional analysis of baseline data collected using the VioScreen computer-administered Food Frequency Questionnaire. We examined four dietary patterns: the Alternate Mediterranean Diet (AMED), the Mediterranean-DASH Diet Intervention for Neurodegenerative Delay (MIND), the Healthy Eating Index-2020 (HEI-2020), and the Alternate Healthy Eating Index-2010 (AHEI-2010). Multivariable logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). The study population included 647 individuals with AP (mean (SD) baseline age, 49.1 (14.5) years). Participants in the highest tertile of dietary index scores were more likely to be older, female, non-Hispanic White, and to have higher educational attainment. In multivariable analyses, greater adherence to the AMED and the MIND dietary patterns was associated with lower odds of pre-existing DM. Multivariable ORs for the odds of pre-existing DM comparing the highest to lowest tertile of diet scores were 0.44 (95% CI: 0.23, 0.84; P-trend = 0.01) for AMED, 0.46 (95% CI: 0.26, 0.82; P-trend = 0.01) for MIND, indicating lower odds for participants with a healthier dietary pattern. In this analysis, greater adherence to selected healthy dietary patterns was associated with lower odds of pre-existing DM at the time of AP presentation. The online version contains supplementary material available at 10.1186/s12937-026-01294-x.

Background: Multiple, independent lines of research on self-regulation point to executive cognitive ability (executive function/cognitive control) as a factor that underlies the capacity to successfully regulate one’s thoughts, emotion, and behavior. Critically, while leading theories point to the role of executive control in modifying ‘in-the-moment’ regulatory processes (e.g., enacting physical activity, resisting a poor dietary choice, reflecting on a stressful experience), few studies have tested the executive hypothesis at this timescale. Moreover, given normative changes in executive control across the adult lifespan, it is essential to understand how cognitive aging might impact these processes. Objective: The Physical Activity, Imaging, and Ambulatory Testing (PHIAT) project was designed to test how variation in executive control at multiple timescales (from moment-to-moment within-days to age-differences across decades) influences self-regulation across the adult lifespan. Methods: A 14-day, high-frequency, ambulatory assessment protocol was designed for the current study. The study was conducted in a measurement burst design and included a 14-day ecological momentary assessment (EMA) protocol involving 6 assessments per day. Ultra-brief ambulatory cognitive assessments of multiple domains of cognition were included in the EMA protocol. Throughout the measurement burst, participants also wore 3 activity monitors on the hip, thigh, and wrist to measure physical activity/exercise, sedentary behavior, and to self-monitor physical activity behavior, respectively. Results: A total of N=221 participants ranging from 18-89 years of age completed the PHIAT protocol over the course of 2021 to 2024. EMA data was collected from participants reflecting a wide range of psychosocial factors surrounding participation in health-promoting behaviors (motivation, intention, stress, built environment, social cognitive factors). This EMA data stream is complemented by data from high-frequency, ambulatory cognitive assessments measuring processing speed, working memory capacity, inhibitory control, and divided/sustained attention administered 5 times per day throughout the 14-day burst. In addition, health promoting behaviors, including sleep, diet, hydration, physical activity, and exercise, were assessed throughout the 14-day burst through a combination of EMA self-report and continuous activity monitoring. Conclusions: A rich, high-frequency dataset was generated by the PHIAT project that will provide a range of novel insights into the motivational, information processing, and environmental factors that surround self-regulation of health-promoting behavior.

Background: Multiple independent lines of research on self-regulation point to executive cognitive ability (executive function/cognitive control) as a factor that underlies the capacity to successfully regulate one’s thoughts, emotions, and behavior. Critically, while leading theories point to the role of executive control in modifying “in-the-moment” regulatory processes (eg, enacting physical activity, resisting a poor dietary choice, reflecting on a stressful experience), few studies have tested the executive hypothesis at this timescale. Moreover, given the normative changes in executive control across the adult lifespan, it is essential to understand how cognitive aging might impact these processes. Objective: The Physical Activity, Imaging, and Ambulatory Testing (PHIAT) project was designed to test how variation in executive control at multiple timescales (from moment-to-moment within days to age differences across decades) influences self-regulation across the adult lifespan. Methods: A 14-day, high-frequency, ambulatory assessment protocol was designed for this study. The study was conducted in a measurement burst design and included a 14-day ecological momentary assessment (EMA) protocol involving 6 assessments per day. Ultra-brief ambulatory cognitive assessments of multiple domains of cognition were included in the EMA protocol. Throughout the measurement burst, participants also wore 3 activity monitors on the hip, thigh, and wrist to measure physical activity/exercise, measure sedentary behavior, and self-monitor physical activity behavior, respectively. Results: A total of 221 participants ranging from 18 to 89 years of age completed the PHIAT protocol over the course of 2021-2024, and data collection is complete. EMA data were collected from participants reflecting a wide range of psychosocial factors surrounding participation in health-promoting behaviors (motivation, intention, stress, built environment, and social cognitive factors). This EMA data stream is complemented by data from high-frequency, ambulatory cognitive assessments measuring processing speed, working memory capacity, inhibitory control, and divided/sustained attention administered 5 times per day throughout the 14-day burst. In addition, health-promoting behaviors, including sleep, diet, hydration, physical activity, and exercise, were assessed throughout the 14-day burst through a combination of EMA self-report and continuous activity monitoring. Conclusions: A rich, high-frequency dataset was generated by the PHIAT project that will provide a range of novel insights into the motivational factors, information processing, and environmental factors that surround self-regulation of health-promoting behavior.

Greater consumption of red meat has been linked to a higher risk of mortality and chronic diseases, including diabetes. We aim to examine the associations between total, processed and unprocessed red meat intake and diabetes and to evaluate the substitution effects of other protein sources for red meat on diabetes. This population-based cross-sectional study utilised data from the National Health and Nutrition Examination Survey (NHANES) 2003–2016. Diabetes was defined as a self-reported diagnosis by a physician or other health professional, having a fasting plasma glucose of 126 mg/dl or higher, an HbA1c level of 6·5 % or higher, or the use of antidiabetic drugs. Multivariable logistic regression models were conducted. The study included 34 737 adult participants (mean ( sd ) age of 45·8 (17·5) years) from NHANES 2003–2016. After adjusting for major confounders, compared with the first quintile, higher intakes of total, processed and unprocessed red meat were positively associated with higher odds of diabetes, with adjusted OR of 1·49 (95 % CI 1·22, 1·81), 1·47 (95 % CI 1·17, 1·84) and 1·24 (95 % CI 1·06, 1·44), respectively. The corresponding P -trend values were (< 0.001, 0.001, and 0.006). In this nationally representative sample of US adults, participants in the highest quintiles of total, processed and unprocessed red meat intake had higher odds of diabetes than those in the lowest quintile. Substituting 1 serving/d of dietary protein from foods of plant origin (including nuts, seeds, legumes and soya) for total, processed or unprocessed red meat was associated with 9 % to 14 % lower odds of diabetes.