Evidence map›Paper›PMID 41578268›Full record

Trial reportNutrition journal2026

Preconception dietary patterns and time-to-conception in the high-income multi-country NiPPeR study.

Jun S Lai, Shan Xuan Lim, Sheila J Barton, Elizabeth Huiwen Tham, Sarah El-Heis, Benjamin B Albert, Caroline E Childs, Cathryn A Conlon, Marjorelee T Colega, Vanessa Cox and 6 more

Registry-linked trialAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Nutrition journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02509988 (Nutritional Intervention Preconception and During Pregnancy to Maintain Healthy Glucose Metabolism and Offspring Health "), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02509988 nacompletednot on this map

Nutritional Intervention Preconception and During Pregnancy to Maintain Healthy Glucose Metabolism and Offspring Health "(NiPPeR)"

TypeinterventionalSponsorUniversity of SouthamptonRan2015 to 2022Enrolled1,729ConditionsHyperglycemiaArmsStudy nutritional drink, Standard nutritional drink
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jun S Lai *Institute for Human Development and Potential, Agency for Science, Technology and Research, Singapore, 117609, Singapore. junshilai@gmail.com.
Shan Xuan Lim *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549, Singapore.
Sheila J BartonMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO17 1BJ, UK.
Elizabeth Huiwen ThamDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, 119228, Singapore.
Sarah El-HeisMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO17 1BJ, UK.
Benjamin B AlbertLiggins Institute and A Better Start - National Science Challenge, The University of Auckland, Auckland, 1023, New Zealand.
Caroline E ChildsHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK.
Cathryn A ConlonCollege of Health, Massey University, Palmerston North, 4442, New Zealand.
Marjorelee T ColegaInstitute for Human Development and Potential, Agency for Science, Technology and Research, Singapore, 117609, Singapore.
Vanessa CoxMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO17 1BJ, UK.
Heidi NieldMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO17 1BJ, UK.
See Ling LoyDepartment of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore.
Wayne S CutfieldLiggins Institute and A Better Start - National Science Challenge, The University of Auckland, Auckland, 1023, New Zealand.
Mary F-F ChongSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549, Singapore.
Keith M Godfrey *MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO17 1BJ, UK.
Shiao-Yng Chan *Institute for Human Development and Potential, Agency for Science, Technology and Research, Singapore, 117609, Singapore.

Funding

Agency for Science, Technology and Research H22P0M0008; H17/01/a0/005British Heart Foundation RG/15/17/3174European Union Erasmus+ Programme ImpENSA 598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JPMedical Research Council MC_UU_12011/4National Institute for Health and Care Research NF-SI-0515-10042; 17/63/154; IS-BRC-1215-20004National Medical Research Council MOH-001537-01National Medical Research Council NMRC/TCR/012-NUHS/2014
6 · The paper itself

Abstract

backgroundDietary patterns rich in plant-based foods, fish, and healthier fats are reportedly beneficial for fertility, but forming generalizable recommendations has been hindered by the lack of studies examining dietary patterns and time-to-conception (TTC) in cohorts with different ethnicities across geographical regions. To study the association of preconception dietary patterns with TTC in the multi-country NiPPeR trial.

methodsThis study is a secondary analysis of data collected in the NiPPeR randomized controlled trial. Women planning to conceive, without known fertility impairment, were recruited from the community in the UK, Singapore, and New Zealand (NZ). Dietary intake was assessed at preconception prior randomization, and across-site (“pooled”) data-driven dietary patterns were derived (n = 1406). TTC, derived as the number of days between recruitment and the estimated date of achieving a clinical pregnancy, and the chance of achieving a clinical pregnancy within a year, expressed as hazard ratios (HR), were analyzed using Cox proportional hazards models adjusted for preconception body mass index, age and gravidity.

resultsTwo pooled dietary patterns were identified: “Vegetables, Fruits and Nuts” (VFN), and “Fried potatoes, Processed meat and Sweetened beverages” (FPS). Compared with the lowest quartile of VFN score, those in the highest quartile took a shorter time to conceive [Days till 20% conceived (95% CI): 73.0 (60.6, 91.5) vs 166.5 (120.0, 229.5)], and showed a higher chance of conception within a year [HR (95% CI): 2.15 (1.66, 2.78)]. This difference was most evident in Singapore, where the overall adherence to a VFN diet was substantially lower than in the UK and NZ [median (IQR) VFN score (expressed as standard deviation scores): Singapore -0.88 (-1.11, -0.57), UK 0.45 (0.07, 0.92), NZ 0.47 (-0.02, 0.90)]. There was no association between the FPS diet and TTC in the cohort.

conclusionConsuming a diet rich in vegetables, fruits and nuts may shorten TTC and improve the chances of conception, particularly in populations with low intakes of such foods. CLINICAL

trial registrationClinicalTrials.gov, identifier: NCT02509988, Universal Trial Number U1111-1171–8056. Registered on 16 July 2015.

Indexed as

DietFeeding BehaviorPreconception CareTime-to-PregnancyAdultFemaleFruitHumansNew ZealandNutsPregnancyProportional Hazards ModelsSingaporeUnited KingdomVegetablesDietary patternsFertilityNiPPeR trialPreconceptionTime-to-conception

Identifiers

PMID41578268
PMCPMC12910744

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.