Work-Health-Life-Balance - Mental Resilience, Stability & Healthy Nutrition

Work-Health-Life-Balance 4.0 - Mental Resilience, Stability & Healthy Nutrition in a New Work Reality

New working environments (digitalization, flexibilization) can lead to increased levels of stress. A balanced work-life balance is therefore important in order to prevent negative effects of stress on mental health.

This study investigates,

1. how stress, recovery, nutritional behavior, resilience and sleep behavior are related to the changed working conditions.
2. how standardized nutritional training affects individual body composition (measured using Bioelectrical Impedance Analyses, BIA), stress perception, burn-out symptoms and sleep.

Study Overview

• Status: Recruiting
• Conditions: Depressive Disorder; Sleep; Psychological Stress; Nutritional Quality; Burn-out Syndrome
• Intervention / Treatment: Behavioral: Nutritional counseling

Detailed Description

The ways of working must adapt to the challenges and opportunities of the digital world. Work 4.0 describes the process of change in the working environment in the digital age. Adapting to rapidly changing and sometimes uncertain living and working conditions in times of digitization, dislocated working (including "home office") and altered work processes demands a considerable effort of resources from numerous employees. Previously established work environments and behaviors are being evaluated and adapted to the new circumstances and requirements.

Such times of change often cause uncertainty and result in increased stress levels. Stress, in turn, leads to a variety of symptoms in many areas of life and work, which can limit the ability to work. As a result, successful adaptation to the challenges of the new work reality of Work 4.0 can fail.

Research Questions:

This study investigates,

1. how stress, recovery, nutritional behavior, resilience and sleep behavior are related to the changed working conditions and central characteristics of work 4.0.
2. how standardized nutritional training based on the Austrian Food Pyramid affects individual body composition (measured using Bioelectrical Impedance Analyses, BIA), stress perception, burn-out symptoms and sleep.

• Study Type: Observational
• Enrollment (Anticipated): 200

Contacts and Locations

• Study Contact: Name: Andreas Baranyi, M.D.; Phone Number: 0043-316-385-86241; Email: an.baranyi@medunigraz.at
• Study Contact Backup: Name: Melanie Schweinzer; Email: melanie.schweinzer@medunigraz.at

Study Locations

• Austria
  • Styria
    • Graz, Styria, Austria, 8036
      • Recruiting
      • Medical University of Graz
      • Contact: Andreas Baranyi, Prof. MD; Phone Number: +4331638586241; Email: an.baranyi@medunigraz.at

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 65 years (Adult, Older Adult)
• Accepts Healthy Volunteers: N/A
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

employees in austrian companies affected by digitalization

Description

Inclusion Criteria:

• employees in austrian companies affected by digitalization
• Informed consent

Exclusion Criteria:

• no informed consent

Study Plan

How is the study designed?

Design Details

• Observational Models: Cohort
• Time Perspectives: Prospective

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Employees; Employees in Austrian companies affected by digitalization	Behavioral: Nutritional counseling; Nutritional counseling

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Stress	Stress-Erholungsfragebogen (RESTQ); minimum value: 0, maximum value: 294; High scores reflect high subjective stress.	3 months

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Sleep	Insomnis severity index: minimum value: 0, maximum value: 28; High scores reflect the presence of sleeping disorders	3 months
Body mass index	Body mass index (BMI); BMI= body weight / (body height)²	3 months

Collaborators and Investigators

• Sponsor: Medical University of Graz
• Investigators: Principal Investigator: Andreas Baranyi, M.D., Medical University of Graz, Auenbruggerplatz 31, 8036 Graz, Austria

Study record dates

Study Major Dates

• Study Start (Anticipated): January 11, 2023
• Primary Completion (Anticipated): December 30, 2024
• Study Completion (Anticipated): December 30, 2024

Study Registration Dates

• First Submitted: June 29, 2022
• First Submitted That Met QC Criteria: August 3, 2022
• First Posted (Actual): August 5, 2022

Study Record Updates

• Last Update Posted (Estimate): January 11, 2023
• Last Update Submitted That Met QC Criteria: January 10, 2023
• Last Verified: January 1, 2023

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Behavioral Symptoms; Mental Disorders; Mood Disorders; Depressive Disorder; Burnout, Psychological; Stress, Psychological
• Other Study ID Numbers: EK 34-147 ex 21/22

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: No

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No