The aim of Health Surveillance is to analyze and describe the state of health of students at Constructor University, key influencing factors and individual resources by using mixed-method design.
The aim of Health Surveillance plus the additional research by means of qualitative interviews is to analyze and describe the state of stress and health of students at Constructor University (CU) by using a mixed-methods approach, as well as explore the association and mechanism between stress and health of students at CU (and employees at HAW Hamburg), key influencing factors and individual resources. In areas where there is a need for action, the Health Surveillance plus this project the additional qualitative interviews 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 and departments). In addition, the Health Surveillance plus the additional interviews at CU contributes to comparability with surveys at other German universities through the use of validated and standardized measuring instruments and in-depth qualitative interviews with qualitative content analysis. Main hypotheses are 1. The Health Surveillance gives insights into state of stress and health of students at CU, key influencing factors and individual resources by using a mixed-methods approach. 2. With the Health Surveillance the health-promotion at CU by using a mixed-methods approach, as well as explore the association and mechanism between stress and health of students at CU (and employees at HAW Hamburg), can be guided and promotion of mental health (including the reduction of loneliness and discrimination) can be strengthened. 3. The health of students (and employees at HAW Hamburg), their perceived stress, loneliness and discrimination/minorization (disadvantage) as well as substance use 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., J-peers)?
Study Type
OBSERVATIONAL
Enrollment
363
Constructor University (formerly known as Jacobs University)
Bremen, Germany
NOT_YET_RECRUITINGConstructor University Bremen
Bremen, Germany
RECRUITINGLoneliness
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 Loneliness in private and study context - 9 Items (Techniker Krankenkasse, 2024), Range 1 (often) - 4 (never), higher scores mean better outcomes
Time frame: Baseline
Health literacy
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
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
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
Student satisfaction
Student satisfaction - 1 Item (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
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