Evidence map›Paper›PMID 21561975›Full record

ArticleProceedings. Biological sciences2011

Twinning in humans: maternal heterogeneity in reproduction and survival.

Shannen L Robson, Ken R Smith

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. History of multifetal gestation and long-term maternal mortality.Paediatric and perinatal epidemiology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Complex genetics of female fertility.NPJ genomic medicine · 2018
    Review
  8. Article
  9. Why is lifetime fertility higher in twinning women?Proceedings. Biological sciences · 2012
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Shannen L RobsonDepartment of Anthropology, University of Utah, Salt Lake City, UT, USA. robson@umnh.utah.edu
Ken R Smith

Funding

The Utah Study of Fertility, Longevity and AgingR01AG022095 · NIA · UNIVERSITY OF UTAH · PI SMITH, KEN R · 2003 to 2015
$9.4M
NIA NIH HHS AG022095NIA NIH HHS R01 AG022095
6 · The paper itself

Abstract

While humans usually give birth to singletons, dizygotic twinning occurs at low rates in all populations worldwide. We evaluate two hypotheses that have differing expectations about the effects of bearing twins on maternal lifetime reproduction and survival. The maternal depletion hypothesis argues that mothers of twins will suffer negative outcomes owing to the higher physiological costs associated with bearing multiples. Alternatively, twinning, while costly, may indicate mothers with a greater capacity to bear that cost. Drawing from the vast natural fertility data in the Utah Population Database, we compared the reproductive and survival events of 4603 mothers who bore twins and 54 183 who had not. These mothers were born between 1807 and 1899, lived at least to the age of 50 years and married once to men who were alive when their wives were 50. Results from proportional hazards and regression analyses are consistent with the second hypothesis. Mothers of twins exhibit lower postmenopausal mortality, shorter average inter-birth intervals, later ages at last birth and higher lifetime fertility than their singleton-only bearing counterparts. From the largest historical sample of twinning mothers yet published, we conclude that bearing twins is more likely for those with a robust phenotype and is a useful index of maternal heterogeneity.

Indexed as

AdultBirth IntervalsFemaleFertilityHumansLinear ModelsMaternal AgeMortalityParityPhenotypePostmenopausePregnancyPregnancy, MultipleUtah

Identifiers

PMID21561975
PMCPMC3203505

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.