Evidence map›Paper›PMID 39373747›Full record

ArticleDie Naturwissenschaften2024

Human life expectancy and season of birth in Taiwan: A retrospective cohort study.

Tsutomu Nishimura, Eiji Nakatani, Mei-Chen Lin, Hiroyuki Yamauchi, Masanori Fukushima, Chung Y Hsu

Abstract read
In one paragraph

Article in Die Naturwissenschaften, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

6 authors.

Tsutomu NishimuraInstitute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, Kyoto, 606-8507, Japan. tnishimu@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-1691-8436
Eiji NakataniDepartment of Biostatistics and Health Data Science, Graduate School of Medical Science, Nagoya City University, Nagoya, 467-8601, Japan.
Mei-Chen LinManagement Office for Health Data, China Medical University Hospital, Taichung, 404, Taiwan.
Hiroyuki YamauchiStatistical Analysis Division, Earthquake Prediction Research Center, Tokyo, 103-0014, Japan.
Masanori FukushimaIntelligent Health Promotion Division, Learning Health Society Institute, Nagoya, 451-6005, Japan.
Chung Y HsuDepartment of Biostatistics and Health Data Science, Graduate School of Medical Science, Nagoya City University, Nagoya, 467-8601, Japan.

Funding

Academia Sinica Stroke Biosignature Project BM10701010021Japan Society for the Promotion of Science London 20K1049Ministry of Health and Welfare MOHW108-TDU-B-212-133004MOST Clinical Trial Consortium for Stroke MOST 107-2321-B-039-004
6 · The paper itself

Abstract

Prior research has indicated a correlation between the birth season and life expectancy; however, many of these studies did not sufficiently account for comorbidities. In this comprehensive investigation, we aimed to meticulously explore the association between the birth month and life expectancy, giving due consideration to comorbidities. We used a robust dataset derived from Taiwan's National Health Insurance Research Database (2000-2013), which allowed us to conduct a thorough examination. We divided our participants into four groups based on their season of birth: spring, summer, autumn, and winter. Propensity score matching was used to ensure an equitable distribution of demographic and clinical characteristics across the groups. Propensity scores were computed using logistic regression. Our model incorporated a broad range of demographic factors and comorbidities, providing rigorous adjustment for potential confounders. Our findings revealed a significantly increased risk of all-cause mortality among individuals born in spring, even after stringent adjustment for demographic factors and comorbidities. People born in spring demonstrated a 1.05-fold increase in the risk of all-cause mortality, with a hazard ratio of 1.05 and a 95% confidence interval of 1.01-1.09. Our study provides compelling evidence that helps understand the potential long-term impacts of a person's birth season, which acts as a proxy for pregnancy / early-life environmental exposure, on life expectancy. These findings underscore the crucial need for additional research to illuminate the underlying biological and environmental mechanisms linking the birth season and lifespan of a person. The elucidation of these links could guide the development of innovative health promotion and disease prevention strategies that are tailored to an individual's birth season.

Indexed as

Life ExpectancySeasonsAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedParturitionRetrospective StudiesTaiwanBirth monthEnvironmental factorsLife expectancy

Identifiers

PMID39373747
PMCPMC11458742

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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.