Women’s Health Study (WENDY)—a protocol of a population-based study assessing gynecological and metabolic health in women in their mid-30s - Scorecard - MDSpire
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Women’s Health Study (WENDY)—a protocol of a population-based study assessing gynecological and metabolic health in women in their mid-30s
Clinical Scorecard: WENDY Study: A Protocol for Investigating Gynecological and Metabolic Health Among Women Aged 33 to 37 in a Population-Based Cohort
At a Glance
Category
Detail
Condition
Gynecological conditions and metabolic health impairments in women
Key Mechanisms
Association between gynecological symptoms/diseases and metabolic factors influencing overall health and quality of life
Target Population
Women aged 33 to 37 years born in northern Finland between 1985 and 1987
Care Setting
Population-based cohort study with clinical, biological, and questionnaire data collection in research settings linked to national health registers
Key Highlights
Largest data set worldwide linking gynecological and metabolic health data from fetal stage to adulthood in women.
Comprehensive data collection including clinical measurements, biological samples, ultrasound, questionnaires, menstrual cycle follow-up, and cognitive testing.
Data linkage to high-quality Finnish national registers and birth cohort data enables longitudinal and multifactorial health analyses.
Guideline-Based Recommendations
Diagnosis
Utilize comprehensive clinical assessments including ultrasound and biological sampling for gynecological and metabolic health evaluation.
Incorporate detailed questionnaires covering reproductive history, physical and mental health, lifestyle, and quality of life.
Management
Focus on early recognition and awareness of common gynecological conditions such as heavy menstrual bleeding, PCOS, endometriosis, and vulvodynia.
Address metabolic derangements as part of holistic gynecological health management.
Monitoring & Follow-up
Employ menstrual cycle tracking and cognitive testing via mobile applications for ongoing symptom and health monitoring.
Leverage register-based data linkage for longitudinal follow-up and health outcome tracking.
Risks
Recognize delays in diagnosis and treatment due to lack of awareness and social/cultural barriers.
Consider the impact of metabolic health impairments on gynecological disease progression and quality of life.
Patient & Prescribing Data
Women aged 33 to 37 years in northern Finland with linked longitudinal health data
Data support targeted interventions addressing both gynecological symptoms and metabolic health to improve quality of life and reduce diagnostic delays.
Clinical Best Practices
Integrate multidisciplinary approaches combining gynecological, metabolic, and mental health assessments.
Utilize population-based cohort data and national register linkages to inform personalized care and public health strategies.
Promote health awareness and education to reduce stigma and improve symptom reporting among women.
by Terhi T Piltonen, Maria Ohtamaa, Riikka K Arffman, Lotta Vuokila, Elisa Hurskainen, Minna Männikkö, Laura Huilaja, Suvi-Päivikki Sinikumpu, Tero Rautio, Katariina Kilpivaara, Jari Jokelainen, Eetu Kiviniemi, Pekka Pinola, Minna Törnävä, Elina Komsi, Marika H Kangasniemi, Maria Rajecki, Kaisu Luiro, Jenni Kinnunen, Susanna M Savukoski
