National University of Singapore
Singapore, 119077
NCT Number: NCT05026619
Singapore's fertility rate is currently below 1.2, raising concerns about population ageing and long-term sustainability. The fertility decline is characterized by falling birth rates among women in their 20s with almost no recuperation among women in their 30s. This project explores a) whether informational imperfections help to account for high intended ages at childbearing in Singapore, b) whether informational interventions significantly affect ideal and expected ages at marriage and childbearing, and expected probability of undergoing social egg freezing, and c) whether informational interventions significantly affect expected and actual educational outcomes and labor market outcomes.
Our hypotheses are:
1. University students have knowledge gaps about age-related onset of infertility, assisted reproductive technologies and local policy initiatives related to age at marriage and childbearing, especially among male students. 2. Being exposed to accurate information in these domains leads to significantly lower ideal/expected ages at marriage and childbearing, and higher expected probability of undergoing social egg freezing, immediately after the intervention. 3. Being exposed to accurate information in these domains does not lead to lower educational and labor market expectations immediately after the intervention among either male or female students, or to significant differences in module choices, Cumulative Average Point (CAP), starting salary and employment status of university students in the following academic semester and six months after graduation, among either male or female students.
This study is active but is not currently recruiting participants.
20 year–24 year
All sexes
Interventional
Not applicable
Singapore, 119077
The project conducts a randomized controlled trial involving 1000 full-time undergraduate students at NUS. The trial has three stages.
In the first stage, participants will be recruited through campus advertisements.
In the second stage, participants who meet the eligibility criteria will complete a 30-40 minute online survey. The survey includes the following:
In the third stage, the students' responses are linked to the Educational Data Lake managed by ALSET, Provost's Office, NUS, which collects data on students' module choices (whether within the same major, in a different major within the same faculty or in a different faculty) and CAP in the following academic semester and at graduation, graduation status, and starting salary and employment status six months after graduation. All participants are informed and these linkages are mentioned in the consent form.
After the data collection is completed, we will analyse the data using a difference-in-differences econometric model. Our model compares three sets of dependent variables at different points in time:
The results are compared by gender, faculty, educational and career expectations, and other background characteristics, including dating history and mental wellbeing.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The following information is provided:
Age and fertility IVF success rates and side effects
The following information is provided:
Assisted reproductive technology treatment subsidies Other fertility-related policies
The following information is provided:
Diabetes risk factors and treatment Diabetes-related policies
Time frame: Within one year and two years of initial survey
During initial survey: Continuous
Time frame: Within one year and two years of initial survey
During initial survey: Continuous percent chance by the following ages A. 25 B. 30 C. 35 D. 40
Time frame: Within one year and two years of initial survey
During initial survey: Continuous percent chance of social egg freezing if available at the following ages:
A. 25 B. 30 C. 35 D. 40
Time frame: Within one year and two years of initial survey
During initial survey: Continuous percent chance:
A. Less than Bachelor's Degree B. Bachelor's Degree or higher C. Master's Degree or higher D. Doctoral Degree or higher
Time frame: Within one year and two years of initial survey
During initial survey: Continuous at the following ages:
A. 25 B. 30 C. 35 D. 40
Time frame: Within one year and two years of initial survey
During initial survey: Continuous percent chance by the following ages A. 25 B. 30 C. 35 D. 40
Time frame: Within one year and two years of initial survey
During initial survey: Continuous percent chance:
A. Full-time homemaker B. Manager or administrator in a private company C. Manager or administrator in the government/education sector D. Professional without doctoral degree (e.g. engineer, architect, accountant, social worker, teacher) E. Professional with doctoral degree or equivalent (lawyer, physician, scientist, college professor) F. Sales (e.g. insurance agent, real estate) G. Other (e.g. small business owner, etc.)
Time frame: Within one year and two years of initial survey
During initial survey: Continuous percentage
Time frame: Within one year and two years of initial survey
During initial survey: Strongly disagree, Disagree, Neither agree nor disagree, Agree, Strongly agree
Time frame: Within two years and six years of initial survey
Measured in the following academic semester and at graduation
Time frame: Within two years and six years of initial survey
Whether within the same major, in a different major within the same faculty or in a different faculty, in the following academic semester and at graduation
Time frame: Within six years of initial survey
Whether graduated and class of honours
Time frame: Within six years of initial survey
Whether employed, full-time status
Time frame: Within six years of initial survey
Continuous
National University of Singapore
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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