Evidence map›Paper›PMID 34948978›Full record

ArticleInternational journal of environmental research and public health2021

Sibship Size, Height and Cohort Selection: A Methodological Approach.

Ramon Ramon-Muñoz, Josep-Maria Ramon-Muñoz, Begoña Candela-Martínez

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ramon Ramon-MuñozDepartment of Economic History, Institutions, Politics and World Economy, Faculty of Economics and Business, University of Barcelona, Diagonal 690, 08034 Barcelona, Spain.ORCID 0000-0001-5350-1632
Josep-Maria Ramon-MuñozDepartment of Applied Economics, Faculty of Economics and Business, University of Murcia, Campus de Espinardo, 30100 Murcia, Spain.ORCID 0000-0002-4075-7070
Begoña Candela-MartínezDepartment of Applied Economics, Faculty of Economics and Business, University of Murcia, Campus de Espinardo, 30100 Murcia, Spain.ORCID 0000-0001-7149-2688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article deals with the historical relationship between the number of siblings in a family or household and height, a proxy for biological living standards. Ideally, this relationship is better assessed when we have evidence on the exact number of siblings in a family from its constitution onwards. However, this generally requires applying family reconstitution techniques, which, unfortunately, is not always possible. In this latter case, scholars must generally settle for considering only particular benchmark years using population censuses, from which family and household structures are derived. These data are then linked to the height data for the young males of the family or household. Height data are generally obtained from military records. In this matching process, several decisions have to be taken, which, in turn, are determined by source availability and the number of available observations. Using data from late 19th-century Catalonia, we explore whether the methodology used in matching population censuses and military records as described above might affect the relationship between sibship size and biological living standards and, if so, to what extent. We conclude that, while contextual factors cannot be neglected, the methodological decisions made in the initial steps of research also play a role in assessing this relationship.

Indexed as

Body HeightFamily CharacteristicsCohort StudiesHumansMaleSiblingsSocioeconomic Factorsbiological living standardsfamily compositionquantity-quality trade offresource dilution hypothesis

Identifiers

PMID34948978
PMCPMC8703943

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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.