Publications by authors named "T F J King"

Background: This study aimed to examine the impact of neighborhood conditions and household material hardship experiences on young adult health outcomes, while also considering financial autonomy as a critical determinant of health.

Method: We employed a cross-sectional observational design with a diverse sample of young adults from a large urban university. Structural equation modeling was used to analyze the relationships between neighborhood conditions and material hardship with health outcomes by financial autonomy.

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Background: Flat epithelial atypia (FEA), a rare breast proliferative lesion, is often diagnosed following core biopsy (CB) of mammographic microcalcifications. In the prospective multi-institution TBCRC 034 trial, we investigate the upgrade rate to ductal carcinoma in situ (DCIS) or invasive cancer following excision for patients diagnosed with FEA on CB.

Patients And Methods: Patients with a breast imaging reporting and data system (BI-RADS) ≤ 4 imaging abnormality and a concordant CB diagnosis of FEA were identified for excision.

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Early detection of pancreatic ductal adenocarcinoma (PDAC) can improve survival but is hampered by the absence of early disease symptoms. Imaging remains key for surveillance but is cumbersome and may lack sensitivity to detect small tumors. CA19-9, the only FDA-approved blood biomarker for PDAC, is insufficiently sensitive and specific to be recommended for surveillance.

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Objective: To compare patient outcomes across body mass index (BMI) subgroups in the setting of recent tracheotomy.

Methods: This retrospective chart review included patients over 18 years old who underwent tracheotomy placement between February 2017 and March 2020. Patients were divided into five groups based on BMI: underweight, normal weight, overweight, obese, and morbidly obese.

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This study aimed to investigate the effect of precarious employment (PE) on the mental health of Australians. Building on previous research, we conceptualised PE as a multidimensional construct, accounted for gender differences in the associations, and our modelling strategy addressed the possibility of reverse causality bias. Data was pooled panel data from 15 waves (2005-2019) of the HILDA survey (n = 14,237).

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