Purpose: With the increasing utilization of medications worldwide, coupled with the increasing availability of long-term data, there is a growing opportunity and need for robust studies evaluating drug-cancer associations. One methodology of importance in such studies is the application of lag times.
Methods: In this narrative review, we discuss the main reasons for using lag times.
Results: Namely, we discuss the typically long latency period of cancer concerning both tumor promoter and initiator effects and outline why cancer latency is a key consideration when choosing a lag time. We also discuss how the use of lag times can help reduce protopathic and detection bias. Finally, we present practical advice for implementing lag periods.
Conclusions: In general, we recommend that researchers consider the information that generated the hypothesis as well as clinical and biological knowledge to inform lag period selection. In addition, given that latency periods are usually unknown, we also advocate that researchers examine multiple lag periods in sensitivity analyses as well as duration analyses and flexible modeling approaches.
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http://dx.doi.org/10.1016/j.annepidem.2023.05.004 | DOI Listing |
J Gerontol B Psychol Sci Soc Sci
January 2025
Max Planck Institute for Demographic Research, Rostock, Germany.
Objectives: Affecting one in five adults in Europe, hearing loss (HL) is linked to adverse health outcomes, including dementia. We aim to investigate educational inequalities in hearing health in Europe and how these inequalities change with age, gender, and region.
Methods: Utilizing 2004-2020 data from the Harmonised Survey of Health, Ageing, and Retirement in Europe (SHARE), a representative sample of Europeans aged 50 and above, we analyse: 1) age-standardized prevalence of HL and hearing aid (HA) use among eligible individuals; 2) educational inequalities therein using the Relative Index of Inequality (RII) across age, gender, and European regions.
Cureus
December 2024
Emergency, Royal Victorian Eye and Ear Hospital, Melbourne, AUS.
Idiopathic intracranial hypertension (IIH) is a neurological disorder characterized by chronic headaches, cognitive difficulties, reduced quality of life, and rarely irreversible visual loss. Community diagnosis is often challenging due to unfamiliarity with current guidelines and a lack of clinical experience, leading to misdiagnosis and treatment delays, which can negatively impact visual recovery and quality of life. Our study examined the time to diagnosis and investigated the barriers to timely diagnosis in adults with newly diagnosed IIH.
View Article and Find Full Text PDFHeliyon
January 2025
School of Architecture, Tianjin University, 300072, Tianjin, China.
Air pollution has become a major challenge to global urban sustainable development, necessitating urgent solutions. Meteorological variables are key determinants of air quality; however, research on their impact across different urban gradients remains limited, and their mechanisms are largely unexplored. This study investigates the dynamic effects of meteorological variables on air quality under varying levels of urbanization using Kaohsiung City, Taiwan, as a case study.
View Article and Find Full Text PDFHealth Psychol Behav Med
January 2025
Department of Psychology, Faculty of Psychology, Universitas Padjadjaran, Sumedang, Indonesia.
Background: Psychologists play a crucial role in providing essential psychological aid to individuals navigating the challenges posed by the COVID-19 pandemic. However, studies focusing on the mental health of psychologists during the COVID-19 pandemic remain scarce. This study investigates the interaction between coping strategies and psychological distress among a group of Indonesian psychologists.
View Article and Find Full Text PDFInt J Environ Health Res
January 2025
School of Geosciences, University of South Florida, Tampa, FL, USA.
The geographical distribution of Lyme disease has been attributed to changes in Earth's climate and associated distribution of its vector, ticks of the genus . This study focuses on the impact of climatic and meteorological conditions on Lyme disease transmission in East Central Ohio, an emerging hotspot of cases. Using county-level data from 2001 to 2023, we analyzed the relationship between Lyme disease cases and temperature, precipitation, and the Southern Oscillation Index (SOI) using a distributed lag nonlinear model (DLNM).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!