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Background: Childhood obesity prevalence remains high, especially in racial and ethnic minority populations with low incomes. This epidemic is attributed to various dietary behaviors, including increased consumption of energy-dense foods and sugary beverages and decreased intake of fruits and vegetables. Interactive, technology-based approaches are emerging as promising tools to support health behavior changes.

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Novel pain assessment tool specific for pulp symptoms to aid diagnosis.

Int Endod J

January 2025

Division of Conservative Dentistry and Endodontics, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India.

Aim: Although many pain assessment tools exist, none are specific to the relatively unique presentation of pulpal pain. The aim of this study was to develop and validate a novel pain assessment tool based on pulp symptoms.

Methodology: A preliminary list of items best-describing pulpitis was developed based on deductive and inductive approaches and the preliminary tool was piloted (n = 80).

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Synchronization of auditory-hand tapping coupling: the effect of aging.

Exp Brain Res

January 2025

Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.

Hand(s)-tapping tasks have been extensively studied in order to characterize the features of sensorimotor synchronization (SMS). These tasks frequently require participants to synchronize their tapping pace to an external, metronome-like sound. The impact of ageing on SMS abilities remains mainly unexplored.

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Objective: Cancer diagnosis represents a life crisis. It remains unclear whether/what psychosocial intervention may enhance cancer patients' quality of life (QoL) during existential plight. This study aimed to examine preliminary efficacy of a brief writing intervention for patients newly diagnosed with advanced cancer with a focus on affirming personally important values and beliefs.

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Objective: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health Systems 4M Framework (What Matters, Medication, Mentation, and Mobility) from nursing home worker text messages, deploy automated mapping of these expressions to a taxonomy, and explore the created expressions and relationships.

Materials And Methods: The dataset included 21 357 text messages from healthcare workers in 12 Missouri nursing homes. A sample of 860 messages was annotated by clinical experts to form a "Gold Standard" dataset.

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