Modifiable Risk Factor Score and Fecundability in a Preconception Cohort in Singapore

Author:

Loy See Ling12,Ku Chee Wai12,Tiong Michelle Mei Ying3,Ng Carissa Shi Tong4,Cheung Yin Bun56,Godfrey Keith M.78,Lim Shan Xuan9,Colega Marjorelee T.10,Lai Jun Shi10,Chong Yap-Seng410,Shek Lynette Pei-Chi101112,Tan Kok Hian213,Chan Shiao-Yng1014,Chong Mary Foong-Fong910,Yap Fabian21516,Chan Jerry Kok Yen12

Affiliation:

1. Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore

2. Duke-NUS Medical School, Singapore, Singapore

3. KK Women’s and Children’s Hospital, Singapore, Singapore

4. Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore

5. Program in Health Services and Systems Research and Center for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore

6. Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, Tampere, Finland

7. Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom

8. National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom

9. Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore

10. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore

11. Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore

12. Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital, National University Health System, Singapore, Singapore

13. Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore

14. Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore

15. Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore, Singapore

16. Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

Abstract

ImportanceAlthough multiple modifiable risk factors have been identified for reduced fecundability (defined as lower probability of conception within a menstrual cycle), no scoring system has been established to systematically evaluate fecundability among females who are attempting to conceive.ObjectiveTo examine the association of a risk score based on 6 modifiable factors with fecundability, and to estimate the percentage reduction in incidence of nonconception if all study participants achieved a minimal risk score level.Design, Setting, and ParticipantsThis population-based cohort study obtained data from the S-PRESTO (Singapore Preconception Study of Long-Term Maternal and Child Outcomes) prospective cohort study. Females of reproductive age who were trying to conceive were enrolled from February 2015 to October 2017 and followed for 1 year, ending in November 2018. Data were analyzed from March to May 2022.ExposuresA reduced fecundability risk score was derived by giving participants 1 point for each of the following factors: unhealthy body mass index, unhealthy diet, smoking, alcohol intake, folic acid supplement nonuser, and older maternal age. Total scores ranged from 0 to 6 and were classified into 5 levels: level 1 (score of 0 or 1), level 2 (score of 2), level 3 (score of 3), level 4 (score of 4), and level 5 (score of 5 or 6).Main Outcomes and MeasuresFecundability, measured by time to conception in cycles, was analyzed using discrete-time proportional hazards models with confounder adjustment.ResultsA total of 937 females (mean [SD] age, 30.8 [3.8] years) were included, among whom 401 (42.8%) spontaneously conceived within 1 year of attempting conception; the median (IQR) number of cycles before conception was 4 (2-7). Compared with participants with a level 1 risk score, those with level 2, 3, 4, and 5 risk scores had reductions in fecundability of 31% (adjusted fecundability ratio [FR], 0.69; 95% CI, 0.54-0.88), 41% (FR, 0.59; 95% CI, 0.45-0.78), 54% (FR, 0.46; 95% CI, 0.31-0.69) and 77% (FR, 0.23; 95% CI, 0.07-0.73), respectively. Assessment of the population attributable fraction showed that all participants achieving a minimal (level 1) risk level would be associated with a reduction of 34% (95% CI, 30%-39%) in nonconception within a year.Conclusions and RelevanceResults of this study revealed the co-occurrence of multiple modifiable risk factors for lowered fecundability and a substantially higher conception rate among participants with no or minimal risk factors. The risk assessment scoring system proposed is a simple and potentially useful public health tool for mitigating risks and guiding those who are trying to conceive.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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