Cited by 26Climate Change and Health ImpactsAir Quality and Health ImpactsPneumonia and Respiratory Infections

Prenatal exposure to diurnal temperature variation and early childhood pneumonia

Zeng, Ji, Lu, Chan, Deng, Qihong·2017·Journal of Thermal Biology

Abstract

Background Childhood pneumonia is one of the leading single causes of mortality and morbidity in children worldwide, but its etiology still remains unclear.Objective We investigate the association between childhood pneumonia and exposure to diurnal temperature variation (DTV) in different timing windows.Methods We conducted a prospective cohort study of 2,598 children aged 3-6 years in Changsha, China. The lifetime prevalence of pneumonia was assessed by a questionnaire administered by the parents. Individual exposure to DTV during both prenatal and postnatal periods was estimated. Logic regression models was used to examine the association between childhood pneumonia and DTV exposure in terms of odds ratios (OR) and 95% confidence interval (CI).Results Lifetime prevalence of childhood pneumonia in preschool children in Changsha was high up to 38.6%. We found that childhood pneumonia was significantly associated with prenatal DTV exposure, with adjusted OR (95%CI) =1.19 (1.02-1.38), particularly during the second trimester. However, childhood pneumonia not associated with postnatal DTV exposure. Sensitivity analysis indicated that boys are more susceptible to the pneumonia risk of diurnal temperature variation than girls. We further observed that the prevalence of childhood pneumonia was decreased in recent years as DTV shrinked.Conclusions Early childhood pneumonia was associated with prenatal exposure to the diurnal temperature variation (DTV) during pregnancy, particularly in the second trimester, which suggests fetal origin of childhood pneumonia.

Integrity signals

Registry

Crossref · 10.1016/j.jtherbio.2017.02.012

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 49 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Zeng, J., Lu, C., & Deng, Q.
Affiliations
Central South University (CN)
Corresponding author
Deng, Qihong
Venue
Journal of Thermal Biology
Publisher
Elsevier BV
Published
2017-04
Volume
65
Pages
105-112
ISSN
0306-4565 (ISSN-L)
OpenAlex
W2589722081
Cited by
26
References
49
Citations by year
2026: 2 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 6 · 2020: 1 · 2019: 3 · 2018: 4 · 2017: 4
FWCI
1.77
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Thermal Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China (51178466)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Health Sciences › Medicine › Epidemiology › Pneumonia and Respiratory Infections
Keywords
pediatric pneumonia, diurnal temperature range, prenatal exposure, second trimester, postnatal exposure, preschool children, sex differences in susceptibility
MeSH terms
Child, Child, Preschool, China, Environmental Exposure, Female, Humans, Male, Pneumonia, Pregnancy, Prenatal Exposure Delayed Effects, Risk Factors, Temperature, Cohort Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review