Evidence map›Paper›PMID 30257658›Full record

ArticleBMC cancer2018

Greater family size is associated with less cancer risk: an ecological analysis of 178 countries.

Wenpeng You, Frank J Rühli, Renata J Henneberg, Maciej Henneberg

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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  15. Birth Rate as a Determinant of Dementia Incidence: A Comprehensive Global Analysis.American journal of Alzheimer's disease and other dementias
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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

4 authors.

Wenpeng YouAdelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia. wenpeng.you@adelaide.edu.au.ORCID http://orcid.org/0000-0002-6229-1064
Frank J RühliInstitute of Evolutionary Medicine, University of Zurich, Zürich, Switzerland.
Renata J HennebergBiological Anthropology and Comparative Anatomy Unit, Adelaide Medical School, The University of Adelaide, Adelaide, Australia.
Maciej HennebergAdelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGreater family size measured with total fertility rate (TFR) and with household size, may offer more life satisfaction to the family members. Positive psychological well-being has been postulated to decrease cancer initiation risk. This ecological study aims to examine the worldwide correlation between family size, used as the measure of positive psychological well-being, and total cancer incidence rates.

methodsCountry specific estimates obtained from United Nations agencies on total cancer incidence rates (total, female and male rates in age range 0-49 years and all ages respectively), all ages site cancer incidence (bladder, breast, cervix uteri, colorectum, corpus uteri, lung, ovary and stomach), TFR, household size, life expectancy, urbanization, per capita GDP PPP and self-calculated Biological State Index (I

resultsWorldwide, TFR and household size were significantly and negatively correlated to all the cancer incidence variables. These correlations remained significant in partial correlation analysis when GDP, life expectancy, I

conclusionsCountries with greater family size have lower cancer risk in both females, and especially males. Our results seem to suggest that it may be worthwhile further examining correlations between family size and cancer risk in males and females through the cohort and case-control studies based on large samples.

Indexed as

Family CharacteristicsAdolescentAdultChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornLife ExpectancyMaleMiddle AgedNeoplasmsRegression AnalysisRisk FactorsCancer initiationFamily lifeHousehold sizePsychological well-beingTotal fertility rate

Identifiers

PMID30257658
PMCPMC6156945

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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.