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

Loy, See Ling; Ku, Chee Wai; Tiong, Michelle Mei Ying; Ng, Carissa Shi Tong; Cheung, Yin Bun; Godfrey, Keith M.; Lim, Shan Xuan; Colega, Marjorelee T.; Lai, Jun Shi; Chong, Yap Seng; Shek, Lynette Pei Chi; Tan, Kok Hian; Chan, Shiao Yng; Chong, Mary Foong Fong; Yap, Fabian; Chan, Jerry Kok Yen (2023-02)

 
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loy_2023_oi_221557_1674764126.17073.pdf (950.1Kt)
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Loy, See Ling
Ku, Chee Wai
Tiong, Michelle Mei Ying
Ng, Carissa Shi Tong
Cheung, Yin Bun
Godfrey, Keith M.
Lim, Shan Xuan
Colega, Marjorelee T.
Lai, Jun Shi
Chong, Yap Seng
Shek, Lynette Pei Chi
Tan, Kok Hian
Chan, Shiao Yng
Chong, Mary Foong Fong
Yap, Fabian
Chan, Jerry Kok Yen
02 / 2023

Jama Network Open
doi:10.1001/jamanetworkopen.2022.55001
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202303293315

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Peer reviewed
Tiivistelmä
Importance: Although 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. Objective: To 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 Participants: This 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. Exposures: A 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 Measures: Fecundability, measured by time to conception in cycles, was analyzed using discrete-time proportional hazards models with confounder adjustment. Results: A 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 Relevance: Results 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.
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PL 617
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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste