Diane Sperling Lauderdale

Associations of loneliness and social isolation with actigraph and self-reported sleep quality in a national sample of older adults

SLEEP · 2020 · 79 citations

STUDY OBJECTIVES: To examine associations of social isolation and loneliness with sleep in older adults and whether associations differ for survey and actigraph sleep measures. METHODS: This study used data from the National Social Life, Health, and Aging Project (NSHAP), a nationally representative study of community-dwelling older adults born 1920-1947. A random one-third of participants in 2010-2011 were invited to participate in a sleep study (N = 759) that included survey questions, 72 hour…

The social vulnerability metric (<scp>SVM</scp>) as a new tool for public health

Health Services Research · 2022-11-19 · 34 citations

OBJECTIVE: To derive and validate a new ecological measure of the social determinants of health (SDoH), calculable at the zip code or county level. DATA SOURCES AND STUDY SETTING: The most recent releases of secondary, publicly available data were collected from national U.S. health agencies as well as state and city public health departments. STUDY DESIGN: The Social Vulnerability Metric (SVM) was constructed from U.S. zip-code level measures (2018) from survey data using multidimensional Item…

Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Genome Medicine · 2021 · 34 citations

BACKGROUND: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. METHODS: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We…

Machine learning with multimodal data for COVID-19

Heliyon · 2023-07-01 · 25 citations

In response to the unprecedented global healthcare crisis of the COVID-19 pandemic, the scientific community has joined forces to tackle the challenges and prepare for future pandemics. Multiple modalities of data have been investigated to understand the nature of COVID-19. In this paper, MIDRC investigators present an overview of the state-of-the-art development of multimodal machine learning for COVID-19 and model assessment considerations for future studies. We begin with a discussion of the…

Sleep in hospitalized patients with chronic obstructive pulmonary disease: an observational study

Journal of Clinical Sleep Medicine · 2020-07-06 · 23 citations