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Modifiable risk factor score and fecundability in a preconception cohort in Singapore

Modifiable risk factor score and fecundability in a preconception cohort in Singapore
Modifiable risk factor score and fecundability in a preconception cohort in Singapore
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.
e2255001
Loy, See Ling
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Ku, Chee Wai
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Tiong, Michelle Mei Ying
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Ng, Carissa Shi Tong
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Cheung, Yin Bun
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Godfrey, Keith M.
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Lim, Shan-Xuan
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Colega, Marjorelee T.
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Lai, Jun Shi
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Chong, Yap-Seng
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Shek, Lynette Pei-Chi
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Tan, Kok Hian
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Chan, Shiao-Yng
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Chong, Mary Foong-Fong
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Yap, Fabian
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Chan, Jerry Kok Yen
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Loy, See Ling
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Ku, Chee Wai
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Tiong, Michelle Mei Ying
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Ng, Carissa Shi Tong
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Cheung, Yin Bun
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Godfrey, Keith M.
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Lim, Shan-Xuan
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Colega, Marjorelee T.
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Lai, Jun Shi
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Chong, Yap-Seng
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Shek, Lynette Pei-Chi
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Tan, Kok Hian
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Chan, Shiao-Yng
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Chong, Mary Foong-Fong
1e188259-b1ab-4448-9e65-5b6a0fd99502
Yap, Fabian
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Chan, Jerry Kok Yen
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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 and Chan, Jerry Kok Yen (2023) Modifiable risk factor score and fecundability in a preconception cohort in Singapore. JAMA Network Open, 6 (2), e2255001, [e2255001]. (doi:10.1001/jamanetworkopen.2022.55001).

Record type: Article

Abstract

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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Accepted/In Press date: 15 December 2022
e-pub ahead of print date: 7 February 2023

Identifiers

Local EPrints ID: 485722
URI: http://eprints.soton.ac.uk/id/eprint/485722
PURE UUID: 41b6a43e-f10c-43a8-9119-5dda05343806
ORCID for Keith M. Godfrey: ORCID iD orcid.org/0000-0002-4643-0618

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Date deposited: 15 Dec 2023 17:37
Last modified: 18 Mar 2024 02:38

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Contributors

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

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