# An Integrative Science Approach to Resilience: The Notre Dame Study of Health & Well-being

> **NIH NIH UH3** · UNIVERSITY OF NOTRE DAME · 2020 · $388,906

## Abstract

Project Summary
 The purpose of the supplement is to collect data during this pandemic (a shared stressor) to:
1) understand how vulnerable populations (such as older adults) interpret and deal with the
stresses associated with Covid-19; 2) how this differs from aspects of their previous lives; and
3) how the pandemic influences the data collection for the parent project. In addition, it is an
opportunity to assess data on individuals in the Notre Dame Study of Health & Well-being
(NDHWB) for whom we have up to 10 years of questionnaire data and 5 daily diary bursts) to
assess the effects of this stressor on individuals in the study and how this may differ by age and
context. In order to accomplish these goals we will augment the study with four 28-day daily
diary bursts and four global questionnaires on 450 individuals (including the 221 currently
enrolled in the parent project). We collected daily diary data on 359 individuals (during the social
isolation phase (April) and plan to continue this as we transition back to “normal” to assess the
potential influences that range from a second outbreak to a full recovery (July, October,
January, and April).

## Key facts

- **NIH application ID:** 10177278
- **Project number:** 3UH3AG057039-04S1
- **Recipient organization:** UNIVERSITY OF NOTRE DAME
- **Principal Investigator:** Cindy S Bergeman
- **Activity code:** UH3 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $388,906
- **Award type:** 3
- **Project period:** 2017-09-15 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10177278

## Citation

> US National Institutes of Health, RePORTER application 10177278, An Integrative Science Approach to Resilience: The Notre Dame Study of Health & Well-being (3UH3AG057039-04S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10177278. Licensed CC0.

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