Publications by authors named "S L Nelson"

Background: Joint hypermobility syndrome (JHS) and Ehlers-Danlos Syndrome (EDS) are connective tissue disorders characterized by increased joint laxity, affecting musculoskeletal health and quality of life. In this study, we explored recent trends in surgical treatment of shoulder instability among patients with these disorders.

Methods: We searched the PearlDiver Mariner database, which includes deidentified US all-payer claims data from 2010 to 2020.

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Significant variation in mercury (Hg) bioaccumulation is observed across the diversity of freshwater ecosystems in North America. While there is support for the major drivers of Hg bioaccumulation, the relative influence of different external factors can vary widely among waterbodies, which makes predicting Hg risk across large spatial scales particularly challenging. We modeled Hg bioaccumulation by coupling Hg concentrations in more than 21,000 dragonflies collected across the United States from 2008 to 2021 with a suite of chemical (e.

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Purpose: To explore graduating medical students' insights on the value of coaching experiences during each year of medical school while examining how coaching may support student development at various stages of training.

Methods: We invited all graduating students who participated in the coaching program from first through fourth year to participate in one 90-minute virtual focus group. We conducted a thematic analysis of all the focus group transcripts using inductive open coding to develop themes.

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Objectives: Chronic pain (CP) significantly impacts emotional and physical well-being and overall quality of life across diverse populations in the United States (U.S.).

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Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). IVF generates complex data, which can challenge the utilization of the full richness of data during decision-making, leading to reliance on simple 'rules-of-thumb'. Machine learning techniques are well-suited to analyzing complex data to provide data-driven recommendations to improve decision-making.

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