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.
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)?
Study Type
OBSERVATIONAL
Enrollment
700
Hamburg University of Applied Sciences/Hochschule für Angewandte Wissenschaften Hamburg (HAW Hamburg)
Hamburg, Germany
Health literacy
10 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
Time frame: baseline
Loneliness
University 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
Time frame: Baseline
Depression and anxiety
Patient 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
Time frame: baseline
Subjective health status
1 Item (WHO, 1996); Range 1 (very good/sehr gut) - 5 (very poor/schlecht), higher score means worse outcome
Time frame: baseline
Job satisfaction
Student 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
Time frame: baseline
HEI-Stress
Higher 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
Time frame: baseline
Self-efficacy
5 Items (Jerusalem \& Schwarzer, 1999), Range 1 (not at all true/ stimmt nicht) - 4 (exacty true/ stimmt genau) higher scores mean better outcome
Time frame: baseline
Health behaviour
3 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
Time frame: baseline
University in transition
7 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
Time frame: baseline
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