Singapore Population Research on Integrated exposoMe & Early Menopause

NCT ID: NCT07100639

Last Updated: 2025-08-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

400 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-08-06

Study Completion Date

2028-04-01

Brief Summary

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Brief Summary

The goal of this observational study is to learn how environmental factors, lifestyle choices, and social conditions affect the timing of menopause in Asian women aged 40-50 years living in Singapore. The main aims of the project are the following:

* Do environmental pollutants and lifestyle exposures contribute to earlier menopause in Asian women?
* What biological changes occur when women are exposed to harmful environmental factors during menopause transition?

Participants will be followed for 18 months and will complete questionnaires about their health history, lifestyle, diet, and environmental exposures. Participants will provide blood, urine, stool, hair, and nail samples for laboratory analysis and undergo basic health assessments including weight, blood pressure, and bone density measurements. Participants will wear activity monitors and air pollution sensors for 7 days and attend follow-up visits at 6 months, 12 months, and 18 months to track changes in their health. This data will be obtained during the baseline visit.

Detailed Description

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Detailed Description

Background and Rationale: Early menopause, defined as cessation of ovarian function before age 45, affects approximately 5-12% of women globally and is associated with increased risks of cardiovascular disease, osteoporosis, and cognitive decline. Growing evidence suggests that environmental exposures, including persistent organic pollutants, air pollution, and endocrine-disrupting chemicals, may accelerate ovarian aging and contribute to earlier menopausal timing. The exposome concept involves the totality of environmental exposures experienced by individuals throughout their lifetimes, including chemical, physical, biological, and social factors.

Study Hypothesis We hypothesize that combined exposure to environmental pollutants, lifestyle factors, and social conditions accelerates biological aging processes and leads to earlier menopause onset in women. These exposome effects are mediated through changes in gene expression patterns, metabolic profiles, and gut microbiome composition, ultimately increasing the risk of adverse health outcomes.

Study Design: This is a prospective observational cohort study employing a longitudinal design with 18-month follow-up. The study integrates comprehensive exposome assessment with multi-omics profiling to investigate the complex relationships between environmental factors and menopausal health outcomes in a multi-ethnic Asian population.

Population and Setting: Four hundred women aged 40-50 years will be recruited from diverse communities across Singapore. Participants must have experienced no menstruation for the last 2 months or irregular menstrual cycles in the last 6 months, be proficient in English, and plan to reside in Singapore for the study duration. The study will include Chinese, Malay, and Indian ethnicities reflecting Singapore's demographic composition.

Data Collection Methods: Exposome characterization includes external environmental monitoring through air pollution assessment, climate data collection, green space quantification, and personal exposure measurement using wearable devices. Biological samples including blood, urine, stool, hair, and nail specimens will undergo multi-omics analysis encompassing metabolomics, lipidomics, epigenetics, transcriptomics, and microbiome profiling. Clinical assessments include anthropometric measurements, blood pressure monitoring, and bone density evaluation.

Analysis Plan: Multi-layered analytical approaches will include exposome-wide association studies, machine learning techniques for predictive modeling, and causal inference methods to examine relationships between exposome factors and menopausal outcomes. Advanced statistical methods will account for the high-dimensional nature of exposome data and temporal relationships between exposures and health outcomes.

Eligibility Criteria

Inclusion Criteria:

* Female participants aged 40-50 years
* No menstruation for the last 2 months or irregular menstrual cycles in the last 6 months
* Chinese, Malay, or Indian ethnicity
* Proficient in English language
* Planning to reside in Singapore for next 2 years
* Willing to provide informed consent and comply with study procedures

Exclusion Criteria:

* In menopause (12 consecutive months without menstruation)
* Currently pregnant or planning to conceive
* History of bilateral oophorectomy and/or hysterectomy
* Currently receiving hormone therapy, including estradiol replacement therapy or oral contraceptives
* Diagnosed with premature ovarian insufficiency before 40 years of age
* Diagnosis of autoimmune conditions and/or chromosomal abnormalities known to affect ovarian function
* Diagnosis of severe cognitive impairment and/or mental disorders
* Received cancer treatment in the past 12 months

Target Sample Size 400 participants

Conditions

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Early Menopause

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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SG-PRIME

no interventions

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

Female participants aged 40-50 years No menstruation for the last 2 months or irregular menstrual cycles in the last 6 months Chinese, Malay, or Indian ethnicity Proficient in English language Planning to reside in Singapore for next 2 years Willing to provide informed consent and comply with study procedures

Exclusion Criteria

In menopause (12 consecutive months without menstruation) Currently pregnant or planning to conceive History of bilateral oophorectomy and/or hysterectomy Currently receiving hormone therapy, including estradiol replacement therapy or oral contraceptives Diagnosed with premature ovarian insufficiency before 40 years of age Diagnosis of autoimmune conditions and/or chromosomal abnormalities known to affect ovarian function Diagnosis of severe cognitive impairment and/or mental disorders Received cancer treatment in the past 12 months
Minimum Eligible Age

40 Years

Maximum Eligible Age

50 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Institute for Human Development and Potential (IHDP), Singapore

OTHER

Sponsor Role lead

Responsible Party

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Kothandaraman Narasimhan, Ph.D.

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Narasimhan Kothandaraman, Ph.D

Role: CONTACT

+65 64074057

Other Identifiers

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MOH-001786-00

Identifier Type: OTHER

Identifier Source: secondary_id

2050-50

Identifier Type: -

Identifier Source: org_study_id

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