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Introduction: Cross sectional research has demonstrated that screening tool questions on frequency of alcohol consumption are a better predictor of dependence and harmful drinking in younger adults; questions about quantity per occasion are a better predictor in older adults. The aim of this study is to see if this relationship also holds longitudinally.
Methods: A total of 9076 respondents aged 15 and over completed at least two waves of the longitudinal annual Household Income and Labour Dynamics in Australia survey 10 years apart between 2001-2010 and 2012-2020. Standardised scores from responses to questions on drinking quantity and frequency in the first survey were used to predict consumption 10 years later in groups stratified by age.
Results: Frequency of consumption was a significantly better predictor of future consumption than quantity in younger drinkers (aged < 36; β = 9.3, 95% confidence interval [CI] 8.6-10.0), than older drinkers (aged > 49; β = 5.1, 95% CI 4.8-5.5) while quantity was a better predictor in older drinkers (β = 8.2, 95% CI 7.2-9.3) than younger drinkers (β = 3.4, 95% CI 3.1-3.7).
Discussion And Conclusions: Some commonly used screening items, such as drinking quantity and frequency, are differentially effective at identifying future heavy drinkers between age groups. Development of age-specific screening tools could potentially lead to more accurate identification of people who could benefit from intervention to reduce their alcohol consumption.
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http://dx.doi.org/10.1111/dar.70019 | DOI Listing |
Int J Obes (Lond)
September 2025
Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Aims And Background: Relative fat mass (RFM) is strongly associated with type 2 diabetes (T2DM) and has been shown to be a better predictor than body mass index (BMI) and waist circumference (WC). This study aims to investigate the association between RFM and incident T2DM among adults in the Tehran Lipid and Glucose Study cohort.
Methods: Data from 8419 participants (4716 women; mean age, 40.
Clin Gastroenterol Hepatol
September 2025
Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium. Electronic address:
Background And Aims: Infliximab and ustekinumab clearance have been suggested as predictors of disease activity in patients with inflammatory bowel diseases. We aimed to investigate the benefits of clearance monitoring for predicting endoscopic outcomes in patients with Crohn's disease (CD).
Methods: Data from patients with moderate-to-severe CD starting infliximab (n=108) and ustekinumab (n=80) therapy were repurposed.
J Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
University of Nevada, Las Vegas, Las Vegas, NV, United States.
Background: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients' prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
September 2025
Department of Urology, University Hospital Tübingen, Eberhard Karls University, Hoppe-Seyler Str. 3, 72076, Tübingen, Germany.
Introduction And Objectives: High socioeconomic status (SES) is associated with improved oncological outcomes across various cancer types, including prostate cancer. However, limited evidence exists regarding the impact of SES and lifestyle factors on patient-reported outcomes (PROs), including quality of life (QoL), health status (HS), and functional recovery following radical prostatectomy (RP).
Materials And Methods: We conducted a retrospective single-center analysis of 327 patients undergoing RP (177 open, 150 robotic-assisted) assessing pre- and postoperative functional outcomes (QoL, HS, erectile function, continence).