Evidence map›Paper›PMID 34921802›Full record

ArticleAmerican journal of obstetrics and gynecology2022

Metabolic health status and fecundability in a Singapore preconception cohort study.

See Ling Loy, Daniel Wei Keong Chan, Chee Wai Ku, Yin Bun Cheung, Keith M Godfrey, Karen Mei Ling Tan, Yap-Seng Chong, Lynette Pei-Chi Shek, Kok Hian Tan, Shiao-Yng Chan and 2 more

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In one paragraph

Article in American journal of obstetrics and gynecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 18 citations in OpenAlex.

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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

12 authors at 6 institutions in 3 countries.

See Ling LoyDepartment of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore; Duke-NUS Medical School, Singapore, Singapore. Electronic address: loyseeling@duke-nus.edu.sg.
Daniel Wei Keong ChanDepartment of Pediatrics, KK Women's and Children's Hospital, Singapore, Singapore.
Chee Wai KuDuke-NUS Medical School, Singapore, Singapore; Department of Obstetrics & Gynecology, KK Women's and Children's Hospital, Singapore, Singapore.
Yin Bun CheungProgram in Health Services & Systems Research and Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore; Tampere Centre for Child, Adolescent and Maternal Health Research, Tampere University, Tampere, Finland.
Keith M GodfreyMedical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom.
Karen Mei Ling TanDuke-NUS Medical School, Singapore, Singapore.
Yap-Seng ChongSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore.
Lynette Pei-Chi ShekSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore; Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore.
Kok Hian TanDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore.
Shiao-Yng ChanDepartment of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore.
Jerry Kok Yen ChanDepartment of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore; Duke-NUS Medical School, Singapore, Singapore.
Fabian YapDuke-NUS Medical School, Singapore, Singapore; Department of Pediatrics, KK Women's and Children's Hospital, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
KK Women's and Children's Hospital · SGAgency for Science, Technology and Research · SGNanyang Technological University · SGNational Health Service · GBNational University of Singapore · SGTampere University · FI

Funding

British Heart Foundation RG/15/17/31749Department of Health IS-BRC-1215-20004Department of Health NF-SI-0515-10042Medical Research Council G0400491Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

backgroundObesity compromises metabolic health and female fertility, yet not all obese women are similar in metabolic status. The extent to which fecundability is influenced by the metabolic health status of women who are overweight or obese before conception is unknown.

objectiveThis study aimed to: (1) determine the metabolic health status, and (2) examine the association between metabolic health status and fecundability of overweight and obese women trying to conceive in the Singapore PREconception Study of long-Term maternal and child Outcomes cohort study. STUDY

designWe conducted a prospective preconception cohort study of Asian women (Chinese, Malay, and Indian) aged 18 to 45 years trying to conceive who were treated from 2015 to 2017 in KK Women's and Children's Hospital in Singapore (n=834). We defined women to have metabolically unhealthy status if they: (1) met 3 or more modified Joint Interim Statement metabolic syndrome criteria; or (2) had homeostasis model assessment-insulin resistance index ≥2.5. Body mass index was categorized as normal (18.5-22.9 kg/m

resultsOf 232 overweight women, 28 (12.1%) and 25 (10.8%) were metabolically unhealthy by metabolic syndrome ≥3 criteria and homeostasis model assessment-insulin resistance ≥2.5, respectively. Of 175 obese women, 54 (30.9%) and 93 (53.1%) were metabolically unhealthy by metabolic syndrome ≥3 criteria and homeostasis model assessment-insulin resistance ≥2.5, respectively. Compared with metabolically healthy normal-weight women, lower fecundability was observed in metabolically unhealthy overweight women on the basis of metabolic syndrome criteria (fecundability odds ratios, 0.38 [95% confidence interval, 0.15-0.92]) and homeostasis model assessment-insulin resistance (fecundability odds ratios, 0.68 [95% confidence interval, 0.33-1.39]), with metabolic syndrome criteria showing a stronger association. Metabolically unhealthy obese women showed lower fecundability than the healthy normal-weight reference group by both metabolic syndrome (fecundability odds ratios, 0.35; 95% confidence interval, 0.17-0.72) and homeostasis model assessment-insulin resistance criteria (fecundability odds ratios, 0.43; 95% confidence interval, 0.26-0.71). Reduced fecundability was not observed in overweight or obese women who showed healthy metabolic profiles by either definition.

conclusionOverweight or obesity was not synonymous with having metabolic syndrome or insulin resistance. In our preconception cohort, metabolically unhealthy overweight and obese women showed reduced fecundability, unlike their counterparts who were metabolically healthy. These findings suggest that metabolic health status, rather than simply being overweight and obese per se, plays an important role in fecundability.

Indexed as

Insulin ResistanceMetabolic SyndromeBody Mass IndexChildCohort StudiesFemaleFertilityHealth StatusHumansObesityOverweightPregnancyProspective StudiesSingaporeconceptionfertilityinsulin resistancelipidsmetabolic syndromeobesityoverweightpregnancy planningtime to pregnancy

Identifiers

PMID34921802
PMCPMC7612690
OpenAlexW4200007698

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Registered trials

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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.