# A data set for mental and physical stress, loneliness, and life satisfaction before and during the COVID-19 pandemic and the role of working from home

**Authors:** Franziska Emmerich, Julia Junghans, Markus Zenger, Elmar Brähler, Yve Stöbel-Richter, Lisa Irmscher, Ernst Peter Richter, Hendrik Berth

PMC · DOI: 10.1186/s13104-025-07329-6 · BMC Research Notes · 2025-07-01

## TL;DR

This paper presents a longitudinal dataset tracking mental and physical health, loneliness, and life satisfaction in East Germany before and during the pandemic, including the impact of working from home.

## Contribution

The paper introduces a newly developed questionnaire on working from home integrated into a long-term dataset for pandemic-related research.

## Key findings

- The dataset captures changes in mental and physical health before and during the pandemic.
- The inclusion of a working from home questionnaire allows for comparative analysis of its impact.
- The dataset provides a long-term perspective on psychological and physical health in East Germany.

## Abstract

To examine mental and physical health, loneliness, and life satisfaction in East Germany, data were collected at four time points: in 2017/2018, 2019/2020, 2021, and 2022. Changes in data before and during the COVID-19 pandemic were determined using validated short scales. Additionally, a newly developed questionnaire was integrated in 2022 to depict working from home (WFH).

The data set is part of the Saxon Longitudinal Study (SLS), first conducted in 1987 in the former German Democratic Republic and has been continued almost annually, consisting of 33 waves since then (N > 300). As an East German sample, the SLS offers a long-term perspective on psychological and physical health. The extent of mental health can be interpreted based on validated short scales D-Score (Distress Score), PHQ-4 (Patient Health Questionnaire-4), LS-S (Loneliness Scale), L-1 (Short Scale of Life Satisfaction), and a Corona Anxiety Scale. The physical strain can be interpreted based on the answers to the G-Score, SSS-8 (Somatic Symptom Scale), and an individual item on health status. The questionnaire on WFH allows comparisons between participants WFH and those who did not. This dataset will contribute to further research into events such as the COVID-19 pandemic and their impact.

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382)

## Full text

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## References

18 references — full list in the complete paper: https://tomesphere.com/paper/PMC12211386/full.md

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Source: https://tomesphere.com/paper/PMC12211386