Impact of Ambient Humidity on Child Health: A Systematic Review

Gao, Jinghong; Sun, Yunzong; Lu, Yaogui; Li, Liping

doi:10.1371/journal.pone.0112508

Cited by 48 publications

(32 citation statements)

References 82 publications

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“…These complexities associated with 37 relative humidity may account for some of the contradictions in the epidemiological literature regarding how humidity influences health outcomes (Barnett et al, 2010;Gao et al, 2014;Zhang et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Humidity: A review and primer on atmospheric moisture and human health

Davis

McGregor

Enfield

2016

Environmental Research

300

208

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. cases when the proximity to saturation is not medically relevant. Care must be taken in averaging certain humidity variables daily or seasonally to avoid statistical biasing associated with variables that are inherently diurnal through their relationship to temperature.

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Section: Discussionmentioning

confidence: 99%

Humidity: A review and primer on atmospheric moisture and human health

Davis

McGregor

Enfield

2016

Environmental Research

300

208

View full text Add to dashboard Cite

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“…First, temperature or rainfall anomalies are exogenous and random. Second, weather shocks affect the physiology of children (for a recent literature review, see Gao et al 2014) and therefore are likely correlated with stunting 9…”

Section: Model and Identification Strategymentioning

confidence: 99%

How Much Does Economic Growth Contribute to Child Stunting Reductions?

Mary

2018

Economies

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The role of economic growth in reducing child undernutrition remains an open and highly debated question that holds important implications for food security strategies. The empirical evidence has been quite contrasted, primarily in regard to the magnitude of the impacts. Yet, most studies have not (appropriately) accounted for the reverse causality between economic growth and child stunting. Using a dataset of 74 developing countries observed between 1984 and 2014, this paper develops a novel approach accounting for the reverse causal effect of stunting on GDP per capita and finds that the impacts of economic growth are much lower than estimated in most previous studies. A 10% increase in GDP per capita reduces child stunting prevalence by 2.7%. In other words, economic growth is modestly pro-poor. We also estimate that a percentage point increase in child stunting prevalence results in a 0.4% decrease in GDP per capita. A back-of-the-envelope calculation suggests that stunting costs on average about 13.5% of GDP per capita in developing countries.

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“…Our study found a positive relationship between high humidity and the prevalence of ACLF, which is not surprising considering that moisture environment accelerates bacteria growth 15 and that warm-humid conditions increase the risk of infection. 29 Infection is one of the most important precipitating factors of ACLF. 6,30,31 Therefore, humidity likely has an indirect effect on ACLF onset and high humidity might also explain the small peak of ACLF in July, as we found in our cohort study.…”

Section: Discussionmentioning

confidence: 99%

The Association between Meteorological Factors and the Prevalence of Acute-on-chronic Liver Failure: A Population-based Study, 2007–2016

Lin

Han

Li³

et al. 2019

Journal of Clinical and Translational Hepatology

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Background and Aims: The aim of this study was to investigate the effect(s) of meteorological factors on the prevalence of acute-on-chronic liver failure (ACLF) based on 10-years' worth of population data. Methods: We retrospectively collected ACLF case data from January 2007 to December 2016 from three major hospitals in Fuzhou City, China. Climatic data, including rainfall, mean temperature, differences in temperature (delta temperature) and mean humidity for each month were downloaded from the China Climatic Data Service Center. Following data collection, Poisson regression analysis was used to estimate the effect(s) of climatic factors on the risk of the prevalence of ACLF. Results: The population consisted of a total of 3510 cases, with a mean age of 44.7 ± 14.8 years-old and with 79.8% being male. Upon analyzing the population data, we found a growing trend and seasonal pattern of monthly counts of ACLF-related hospitalization throughout the past decade. Specifically, the primary peak of ACLF prevalence was in January and the secondary peak was in July. Poisson regression showed mean temperature (risk ratio = 0.991, 95%CI = 0.986-0.996) and mean humidity (risk ratio = 1.011, 95%CI = 1.006-1.017) to be independently correlated with the monthly cases of ACLF. The results suggest that every unit increase of mean temperature (1°C) and mean humidity (1%) are associated with 0.991-and 1.011-fold changes of ACLF cases, respectively. Rainfall and delta temperature did not appear to affect the prevalence of this disease. Conclusions: The hospitalization for ACLF peaks in January and July. Low temperature and high humidity appear to function as factors contributing to this seasonal pattern.

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Impact of Ambient Humidity on Child Health: A Systematic Review

Cited by 48 publications

References 82 publications

Humidity: A review and primer on atmospheric moisture and human health

Humidity: A review and primer on atmospheric moisture and human health

How Much Does Economic Growth Contribute to Child Stunting Reductions?

The Association between Meteorological Factors and the Prevalence of Acute-on-chronic Liver Failure: A Population-based Study, 2007–2016

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