Evidence map›Paper›PMID 37679702›Full record

ArticleBMC women's health2023

Spatio-temporal trends of the age-at-menarche percentiles among Portuguese women since 1920.

Vitor Rodrigues, Rui Martins, Bruno de Sousa

Abstract read
In one paragraph

Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Genetic insights into the relationship between age at menarche and mental health-related phenotypes.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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4 · The record

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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

3 authors.

Vitor RodriguesFaculty of Medicine, University of Coimbra, Rua Larga, 3004-504, Coimbra, Portugal.
Rui MartinsDepartamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Portugal; Centro de Estatística e Aplicações da Universidade de Lisboa (CEAUL), Lisboa, Portugal. rmmartins@fc.ul.pt.
Bruno de SousaFaculty of Psychology and Education Sciences (FPCE); Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis work aims to study the spatio-temporal evolution of a woman's age at menarche in the central region of Portugal. One of the concerns of the study is early or late menarches; thus, we consider percentile regression to build the respective curves as opposed to the more traditional mean regression approach.

methodsWe analysed the data from [Formula: see text] women born in the period 1920-1973 who attended a free breast cancer screening program between 1990 and 2019. Distributional regression models inside the package GAMLSS in R were considered. These methods allowed us not only to model the location (mean) of the specific probability distribution of the age at menarche, but also allowed for the scale (variance) parameter of this distribution to depend on covariates. Additionally, a spatial random-effect was considered in order to capture the correlation at the regional level. The obtained clustered spatial effects were analysed to assess geographical differences among the percentiles of the age at menarche by year of birth.

resultsA decreasing trend in the age at menarche (about 1.5 years in 5 decades) and regional differences for all the considered percentiles were found. Women living in the north-central areas of the central region of Portugal tend to have menarche at older ages.

conclusionWe obtained percentile estimates for the age at menarche by year of birth and region of residence and demonstrated that these two explanatory variables have an impact on the explanation about the decreasing trend in age at a woman's first menstruation.

Indexed as

EthnicityMenarcheFemaleHumansPortugalDistributional regressionGAMLSSMenarchePortugalSpatialTemporal

Identifiers

PMID37679702
PMCPMC10486027

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