Literature DB >> 11034969

Time to pregnancy as a correlate of fecundity: differential persistence in trying to become pregnant as a source of bias.

O Basso1, S Juul, J Olsen.   

Abstract

BACKGROUND: Subfecundity is a frequent and often serious problem and it is important to identify its preventable determinants and to monitor fecundity over time. Since follow-up studies are difficult and expensive to conduct, time to pregnancy (TTP) in pregnant women is often used as a surrogate measure of fecundity. TTP data can be retrieved at low costs and they need no valid population registry as a source for sampling. While TTP may serve as a valid surrogate measure in many situations, its validity rests upon a number of assumptions. We have analysed one of these overlooked assumptions, the importance of persistence in trying to become pregnant.
METHODS: By means of computer simulations we estimated bias caused by differences in persistence in pregnancy attempts. We investigated whether the assumptions made in the simulation were realistic by using empirical data from a European study.
RESULTS: The mean waiting time to pregnancy and other estimates of subfecundity (or infertility) strongly depend upon the persistence of couples in pursuing a pregnancy. We show that even moderate changes in the planning behaviour considerably modify the waiting time distribution. Empirical data confirm that persistence in trying to become pregnant is age-related.
CONCLUSIONS: Persistence in pregnancy attempts affects outcome measures of subfecundity in studies based upon TTP in pregnant women. It is likely that the length of time during which couples keep trying to become pregnant is influenced by a number of factors which would probably change over time or be different between populations to be compared.

Entities:  

Mesh:

Year:  2000        PMID: 11034969     DOI: 10.1093/ije/29.5.856

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  10 in total

1.  Shift work and subfecundity: a causal link or an artefact?

Authors:  J L Zhu; N H Hjollund; H Boggild; J Olsen
Journal:  Occup Environ Med       Date:  2003-09       Impact factor: 4.402

2.  Reduced fecundity in HIV-positive women.

Authors:  A Gemmill; S E K Bradley; S van der Poel
Journal:  Hum Reprod       Date:  2018-06-01       Impact factor: 6.918

3.  Body size and time-to-pregnancy in black women.

Authors:  Lauren A Wise; Julie R Palmer; Lynn Rosenberg
Journal:  Hum Reprod       Date:  2013-08-19       Impact factor: 6.918

4.  Time at risk and intention-to-treat analyses: parallels and implications for inference.

Authors:  Sunni L Mumford; Enrique F Schisterman; Stephen R Cole; Daniel Westreich; Robert W Platt
Journal:  Epidemiology       Date:  2015-01       Impact factor: 4.822

5.  The association between preconception body mass index and subfertility among Hispanic and non-Hispanic women: A cross-sectional study from Utah's Pregnancy Risk Assessment Monitoring System survey (2012-2015).

Authors:  Qingqing Hu; Jihyun Lee; Jeannette Nelson; Marci Harris; Rebekah H Ess; Charles R Rogers; Jessica Sanders; James VanDerslice; Joseph B Stanford; Karen C Schliep
Journal:  Utah Womens Health Rev       Date:  2020-07-31

6.  The prevalence of couple infertility in the United States from a male perspective: evidence from a nationally representative sample.

Authors:  J F Louis; M E Thoma; D N Sørensen; A C McLain; R B King; R Sundaram; N Keiding; G M Buck Louis
Journal:  Andrology       Date:  2013-07-10       Impact factor: 3.842

7.  Fertility in four regions spanning large contrasts in serum levels of widespread persistent organochlorines: a cross-sectional study.

Authors:  Gunnar Toft; Anna Axmon; Aleksander Giwercman; Ane Marie Thulstrup; Anna Rignell-Hydbom; Henning Sloth Pedersen; Jan K Ludwicki; Valentina Zvyezday; Andery Zinchuk; Marcello Spano; Gian Carlo Manicardi; Eva C Bonefeld-Jørgensen; Lars Hagmar; Jens Peter Bonde
Journal:  Environ Health       Date:  2005-11-09       Impact factor: 5.984

8.  Estimating infertility prevalence in low-to-middle-income countries: an application of a current duration approach to Demographic and Health Survey data.

Authors:  Chelsea B Polis; Carie M Cox; Özge Tunçalp; Alexander C McLain; Marie E Thoma
Journal:  Hum Reprod       Date:  2017-05-01       Impact factor: 6.918

9.  Wealth status, mid upper arm circumference (MUAC) and antenatal care (ANC) are determinants for low birth weight in Kersa, Ethiopia.

Authors:  Nega Assefa; Yemane Berhane; Alemayehu Worku
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

10.  The Use of Time to Pregnancy for Estimating and Monitoring Human Fecundity From Demographic and Health Surveys.

Authors:  Niels Keiding; Mohamed M Ali; Frank Eriksson; Thabo Matsaseng; Igor Toskin; James Kiarie
Journal:  Epidemiology       Date:  2021-01       Impact factor: 4.860

  10 in total

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