Evidence map›Paper›PMID 31221048›Full record

ArticleInternational journal of circumpolar health2019

Season of birth, stillbirths, and neonatal mortality in Sweden: the Sami and non-Sami population, 1800-1899.

Lena Karlsson, Erling Häggström Lundevaller, Barbara Schumann

Open access · goldAbstract read
In one paragraph

Article in International journal of circumpolar health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Ambient temperature and stillbirth risks in northern Sweden, 1880-1950.Environmental epidemiology (Philadelphia, Pa.) · 2021
    Article
  2. Article
  3. Article
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 at 1 institution in 1 country.

Lena Karlssona Centre for Demographic and Ageing Research (CEDAR) , Umeå University , Umeå , Sweden.ORCID 0000-0002-7406-7836
Erling Häggström Lundevallera Centre for Demographic and Ageing Research (CEDAR) , Umeå University , Umeå , Sweden.ORCID 0000-0002-1561-4094
Barbara Schumanna Centre for Demographic and Ageing Research (CEDAR) , Umeå University , Umeå , Sweden.ORCID 0000-0002-9722-0370
Umeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal patterns of neonatal mortality and stillbirths have been found around the world. However, little is known about the association between season of birth and infant mortality of pre-industrial societies in a subarctic environment. In this study, we compared how season of birth affected the neonatal and stillbirth risk among the Sami and non-Sami in Swedish Sápmi during the nineteenth century. Using digitised parish records from the Demographic Data Base at Umeå University, we applied logistic regression models for estimating the association of season of birth with stillbirths and neonatal mortality, respectively. Higher neonatal mortality was found among the winter- and autumn-born Sami, compared to summer-born infants. Stillbirth risk was higher during autumn compared to summer among the Sami, whereas we found no seasonal differences in mortality among the non-Sami population. We relate the higher neonatal mortality risk among winter-born Sami to differences in seasonality of living conditions associated with reindeer herding.

Indexed as

SeasonsArctic RegionsBreast FeedingFemaleHumansInfantInfant MortalityMaleSocioeconomic FactorsStillbirthSwedenindigenous populationNeonatal mortalityseason of birthSweden

Identifiers

PMID31221048
PMCPMC6598521
OpenAlexW2953260213

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.