Evidence map›Paper›PMID 41772480›Full record

ArticleBMC neurology2026

The relationship between low birth weight and neurological disorders: a prospective cohort study in the UK Biobank.

Hongyao Lv, Yang Cai, Daihai Mo, Xiaojiao Gao, Minjing Wei, Jiang Xu, Fengyang Jing, Yue Zhang, Xiaoyu Fang, Wenhui Wu and 2 more

Abstract read
In one paragraph

Article in BMC neurology, 2026. 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
–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

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

12 authors.

Hongyao LvDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China.ORCID http://orcid.org/0000-0003-3702-3751
Yang CaiDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China.
Daihai MoDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China.
Xiaojiao GaoSchool of Public Health, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Minjing WeiDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China.
Jiang XuSchool of Public Health, Southwest Medical University, Luzhou, China.
Fengyang JingDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China.
Yue ZhangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China.
Xiaoyu FangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China. xiaoyufang@tmmu.edu.cn.
Wenhui WuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China. wenhui_wu@tmmu.edu.cn.
Ying XiangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China. shmily777xy@sina.com.
Xiangyu MaDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), No. 30 Gao Tan-Yan Main Street, Shapingba, Chongqing, China. xymacq@hotmail.com.ORCID http://orcid.org/0000-0001-7967-3950

Funding

Chongqing Talents: Exceptional Young Talent Project cstc2021ycjh-bgzxm0008
6 · The paper itself

Abstract

backgroundBirth weight as a marker of fetal growth has been linked to later health outcomes, but its relationship with adult neurological disorders is less well characterised, and few large studies have evaluated multiple neurological disorders within a unified analytical framework.

methodsWe analyzed 279,842 UK Biobank participants with self-reported birth weight. Birth weight was modeled continuously (per 1-kg increment) and categorically (low < 2.5 kg, reference 2.5–4.0 kg, high ≥ 4.0 kg). Incident multiple sclerosis (MS), Alzheimer’s disease (AD), Parkinson’s disease (PD), epilepsy, migraine and cerebrovascular disease (CVD) were ascertained from hospital and registry records (ICD-10). Logistic regression estimated OR and 95% CI, adjusting for age, sex, education, race, and socioeconomic status, with stratification by sex and age.

resultsLow birth weight was associated with higher risk of AD (OR = 1.31, 95% CI 1.14–1.51), epilepsy (OR = 1.37, 95% CI 1.24–1.51), and CVD (OR = 1.32, 95% CI 1.25–1.40). AD showed a U-shaped pattern, with high birth weight increasing risk (OR = 1.19, 95% CI 1.04–1.36). Each 1-kg increase in birth weight corresponded to 12% lower odds of epilepsy (OR = 0.88, 95% CI 0.84–0.93) and 11% lower odds of CVD (OR = 0.89, 95% CI 0.85–0.94). Findings were consistent across sex and age strata, and no associations were observed for MS, PD, or migraine after full adjustment.

conclusionsLow birth weight was independently associated with increased risk of AD, epilepsy, and CVD in adulthood, but not with MS, PD, or migraine, after adjustment for measured confounders. These observational findings, which remain susceptible to residual confounding and measurement error, support the Developmental Origins of Health and Disease framework and underscore the enduring influence of early-life growth on neurological health. Future research should incorporate objective birth records, encompass more diverse populations, and explore how birth weight can be integrated into life-course risk prediction models and prenatal preventive strategies.

Indexed as

Infant, Low Birth WeightNervous System DiseasesAdultAgedBiological Specimen BanksCohort StudiesEpilepsyFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUK BiobankUnited KingdomCohort studyLow birth weightNeurological disordersUK Biobank

Identifiers

PMID41772480
PMCPMC13064004

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LicenceCC BY-NC-ND
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Registered trials

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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.