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Health Surveillance at University of Applied Science Hamburg (HAW)

Health Surveillance at University of Applied Science Hamburg (HAW) in the Year 2025 to Assess Employees Health and Wellbeing

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07089914
Acronym
HAW-HS 2025
Enrollment
700
Registered
2025-07-29
Start date
2025-05-14
Completion date
2025-12-31
Last updated
2025-08-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anxiety, Anxiety Acute, Anxiety Depression, Anxiety Depression (Mild or Not Persistent), Conditions Influencing Health Status, Health Behavior, Health Behavior Change, Observational Study, Social Isolation, Social Isolation or Loneliness, Working Adults

Keywords

Healthy employees, Health literacy, Disability, Age, Gender, work characteristics, PHQ-4, Self-efficacy, Satisfaction with Life Scale (SWLS), Subjective health status, Job satisfaction, UCLA-LS, HEI-Stress

Brief summary

The aim of Health Surveillance 2025 is to analyze and describe the state of health of employees at University of Applied Science Hamburg, key influencing factors and individual resources.

Detailed description

The aim of Health Surveillance 2025 is to analyze and describe the state of health of students at University of Applied Science Hamburg (HAW), key influencing factors and individual resources. In areas where there is a need for action, the Health Surveillance can provide detailed insights and/or in-depth analyses. The Health Surveillance thus provides information on health-related topics and delivers scientifically sound information as a basis for health-promoting discussions in the subsequent follow-up process at various levels (e.g. faculties). In addition, the Health Surveillance 2025 at University of Applied Science Hamburg contributes to comparability with surveys at other German universities through the use of validated and standardized measuring instruments. Main hypotheses are 1. The Health Surveillance 2025 gives insights into state of health of employess at HAW, key influencing factors and individual resources. 2. With the Health Surveillance 2025 the health-promotion at HAW can be guided and promotion of mental health (including the reduction of loneliness and discrimination) can be strengthened. 3. The health of employees, their perceived loneliness and discrimination/minorization (disadvantage) interrelates with participation in health promoting activities? 4. Recommendations can be derived for qualification and skills training of multipliers for health-promoting behavior (e.g., MHFA-peers)?

Interventions

None listed

Sponsors

Hamburg University of Applied Sciences/Hochschule für Angewandte Wissenschaften Hamburg (HAW Hamburg)
CollaboratorUNKNOWN
Jacobs University Bremen gGmbH
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* German language skills * Reading and writing skills * Internet access * Employee status * Consent to participate in the study

Exclusion criteria

* Illiteracy * Massively limited cognitive abilities i.e. linguistic components of the digital offerings must be able to be used, and questionnaires completed, or interviews participated in)

Design outcomes

Primary

MeasureTime frameDescription
Health literacybaseline10 Items (Lenartz, Söllner & Rudinger, 2014), Range 1 (does not apply/trifft überhaupt nicht zu) - 4 (does fully apply/trifft genau zu), higher scores mean a better outcome
LonelinessBaselineUniversity of California Los Angelese Loneliness Scale (UCLA-LS) - 3 Items (Schobin, Arriagada & Gibson-Kunze, 2024), Range 1 (never/nie) - 5 (very often/sehr oft), higher scores mean a worse outcome

Secondary

MeasureTime frameDescription
Subjective health statusbaseline1 Item (WHO, 1996); Range 1 (very good/sehr gut) - 5 (very poor/schlecht), higher score means worse outcome
Job satisfactionbaselineStudent satisfaction - 4 Items (Westermann, Heise, Spies & Trautwein, 1996), Range 0 (not at all satisfied/gar nicht zufrieden) - 100 (completely satisfied/vollkommen zufrieden), higher scores mean better outcome
Self-efficacybaseline5 Items (Jerusalem & Schwarzer, 1999), Range 1 (not at all true/ stimmt nicht) - 4 (exacty true/ stimmt genau) higher scores mean better outcome
Health behaviourbaseline3 Items (Burian, Lehnchen, Deptolla, Heinrichs & Stock, 2023) - Range 0 (0 day/ 0 Tage) - 6 (7 days/ 7 Tage) & 1 (I don't eat any fruits or vegetables/ Ich esse keine Früchte oder Gemüse) - 4 (5 portions or more/ 5 Portionen oder mehr) - higher scores mean better outcome
University in transitionbaseline7 Items (Burian, Lehnchen, Deptolla, Heinrichs & Stock, 2023) - Range 1 (exactly true/ trifft sehr zu) - 4 (not at all true/ trifft überhaupt nicht zu) - higher scores mean worse outcome
HEI-StressbaselineHigher Education Institution Stress (HEI-Stress) - 3 Items (Schmidt, Sieverding, Scheiter & Obergfell, 2013), Range 0 (not at all stressed/gar nicht gestresst) - 100 (very stressed/sehr gestresst), higher scores mean worse outcome
Depression and anxietybaselinePatient Health Questionnaire (PHQ-4) - 4 Items (Kroenke, Spitzer, Williams & Löwe, 2009), Range 0 (not at all/überhaupt nicht) - 3 (nearly every day/beinahe jeden Tag), higher scores mean worse outcome

Other

MeasureTime frameDescription
Discriminiationbaseline1 Item (SOEP-IS Group, 2022) Range 1 (yes/ ja) - 2 (no/ nein) & 1 Item (DZHW, 2022) multiple choice
Corporate Culture (MOLA)baseline20 Items (Unfallkasse Bahn Bund) - Range 1 (not at all true/ trifft überhaupt nicht zu) - 4 (exactly true/ trifft sehr zu) - higher scores mean better outcome

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026