Results 221 to 230 of about 1,551,396 (296)

Assessing Metabolic and Reproductive Consequences of Prenatal Paracetamol Exposure in Female CD1 Mice

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT Paracetamol is a widely used analgesic during pregnancy; however, emerging evidence suggests it may act as an endocrine/metabolism disrupting compound. Using an F1 female CD1 mouse model, this study scrutinized the long‐term metabolic and reproductive consequences linked to intrauterine paracetamol exposure.
Bita Entezari   +7 more
wiley   +1 more source

A Mixed‐Methods Analysis of Medicare‐Enrolled Mental Health Counselors’ Professional Characteristics and Experiences With Enrollment

open access: yesJournal of Counseling &Development, EarlyView.
ABSTRACT After becoming eligible to enroll as Medicare providers in 2024, over 60,000 mental health professionals enrolled in Medicare. We surveyed 384 Medicare‐enrolled mental health counselors licensed in 24 states and used a convergent‐parallel mixed‐methods design to examine their professional characteristics, the impact of Medicare participation ...
Matthew C. Fullen   +2 more
wiley   +1 more source

Survival of individuals with neurological and oncological diseases receiving home enteral nutrition: A descriptive cohort study

open access: yesJournal of Parenteral and Enteral Nutrition, EarlyView.
Abstract Introduction Home enteral nutrition is mainly indicated for individuals with neurological or oncological diseases. However, few studies have evaluated survival in this population in low‐ and middle‐income countries. Objective To investigate factors influencing survival in individuals receiving home enteral nutrition and to identify variables ...
Giuliane de Matos Wrobel   +3 more
wiley   +1 more source

Causal inference in oral health research: Beyond statistical significance toward a causal framework

open access: yesJournal of Periodontology, EarlyView.
Abstract Background Oral health research has adopted sophisticated statistical methods, yet studies routinely present adjusted associations as causal effects. The problem is not statistical competence but the absence of explicit causal reasoning. This commentary proposes a principled framework for causal reasoning in oral health research.
Jack M. Wolf   +2 more
wiley   +1 more source

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