Modification of the Diabetes Prevention Program Lifestyle Intervention in Persons with Spinal Cord Injury: Efficacy for Reducing Major Cardiometabolic Risks, Increased Fitness, and Improved Health-Related Quality of Life.

Unlabelled: Individuals with chronic spinal cord injury (SCI) face elevated risks of cardiometabolic diseases, including cardiovascular disease and type 2 diabetes, due to factors like physical inactivity, neurogenic obesity, and disrupted glucose and insulin regulation. We conducted a prospective intervention cohort study involving 20 individuals with SCI (aged 28-60) with neurologic injuries at levels C4-T10 and ASIA scale grades A-D, lasting over a year. Our study assessed the impact of a therapeutic lifestyle intervention (TLI) based on the Diabetes Prevention Program (DPP) and its maintenance phase.

Partially Observed Dynamic Tensor Response Regression.

In modern data science, dynamic tensor data prevail in numerous applications. An important task is to characterize the relationship between dynamic tensor datasets and external covariates. However, the tensor data are often only partially observed, rendering many existing methods inapplicable.

Neighborhood Characteristics, Intersectional Discrimination, Mental Health, and HIV Outcomes Among Black Women Living With HIV, Southeastern United States, 2019‒2020.

To examine the effects of within-neighborhood and neighboring characteristics on discrimination, stigma, mental health, and HIV outcomes among Black women living with HIV (BWLWH). A total of 151 BWLWH in a southeastern US city provided baseline data (October 2019‒January 2020) on experienced microaggressions and discrimination (race-, gender-, sexual orientation-, or HIV-related), mental health (e.g.

Trends in Health Care Utilization and Expenditures in the United States Across 5 Decades: 1977-2017.

Background: Health care expenditures in the United States are high and rising, with significant increases over the decades. The delivery, organization, and financing of the health care system has evolved over time due to technological innovation, policy changes, patient preferences, altering payment mechanisms, shifting demographics, and other factors.

Objective: The objective of this study was to examine trends over time in health care utilization and expenditures in the United States.

Food insecurity, health care utilization, and health care expenditures.

Objective: To disentangle the relationships among food insecurity, health care utilization, and health care expenditures.

Data Sources/study Setting: We use national data on 13 465 adults (age ≥ 18) from the 2016 Medical Expenditure Panel Survey (MEPS), the first year of the food insecurity measures.

Study Design: We employ two-stage empirical models (probit for any health care use/expenditure, ordinary least squares, and generalized linear models for amount of utilization/expenditure), controlling for demographics, health insurance, poverty status, chronic conditions, and other predictors.