28 Fifth, we assessed medication use only in the year immediately following diagnosis; further study of longer-term trajectories of medication use is warranted. Conclusions In this cohort study, Medicare beneficiaries with an incident dementia diagnosis were more likely to initiate CNS-acti...
Self-efficacy and self-management are fundamental factors for successful treatment of type 2 diabetes, but long-term studies are rare. The aim of the present study is to investigate whether the effects achieved in the context of a lifestyle intervention based on the transtheoretical model can be ...
A comprehensive evaluation of the risks and 1-year burdens of gastrointestinal disorders in the post-acute phase of COVID-19 is needed but is not yet available. Here we use the US Department of Veterans Affairs national health care databases to build a c
Long-term neurological sequelae of SARS-CoV-2 infection Nature Medicine Research Briefing 03 Oct 2022 Sections Figures References Abstract Main Results Discussion Methods Data availability Code availability References Acknowledgments Author information Ethics declarations Peer review Additional information Extende...
3 Thus, we adjusted for comorbidities and medication use at baseline only, and our study focused on time-updated 1-year mean PM2.5 exposure. The total effect of multiyear, long-term PM2.5 exposures may be larger. We did not have data available on physical activity, diet, alcohol use, ...
In this study we aimed to explore associations between pharmacologically treated diabetes and the risk of short-term and long-term nursing home stays (NHS) among older people receiving HCS. Methods This nationwide registry study included older people ≥ 65 years receiving HCS, as registered in...
Long COVID is not one illness, but rather an umbrella term to describe a wide range of symptoms, conditions and diseases, which can vary from person to person. Long COVID symptoms commonly include fatigue, brain fog, dizziness, headaches, shortness of breath, joint pain, nerve issues, gastr...
We did not have long-term data for medications prescribed, adherence to medication, or polypharmacy. Such data could be relevant to our model. We could not study model interactions of long-term disease history and 24 h ICU measures in a year-wise manner because of the small size of the ...
We performed subgroup analyses by dividing the subjects by age; sex; obesity; eGFR; anemia; current smoking; alcohol drinking; income status; the presence of hypertension, dyslipidemia, diabetic retinopathy, or PAD; duration of diabetes; number of prescriptions for oral anti-diabetic medication; and...
Association of Medication Prescription With Weight Change Over Time Compared With Citalopram in Mixed-Effects Modelsa View LargeDownload Supplement. eFigure. Mean observed percent weight change after index prescription. eTable 1. Dictionary of indication diagnoses. eTable 2. Sensitivity analysis: ...