Evidence map›Paper›PMID 31612311›Full record

ArticleInternational journal of biometeorology2020

Lag effect of air temperature on the incidence of respiratory diseases in Lanzhou, China.

Guorong Chai, Hua He, Yana Su, Yongzhong Sha, Shengliang Zong

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of biometeorology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Associations between Frailty and Ambient Temperature in Winter: Findings from a Population-Based Study.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Guorong ChaiSchool of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Hua HeSchool of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Yana SuSchool of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Yongzhong ShaSchool of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China. shayzh@lzu.edu.cn.
Shengliang ZongSchool of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China.

Funding

Belt and Road Special Project of Lanzhou University No. 2018ldbryb026Chengguan District of Lanzhou City No.2018-7-10China Postdoctoral Science Foundation 2016M600827Key Project of China Ministry of Education for Philosophy and Social Science 16JZD023National Natural Science Foundation of China 71472079National Natural Science Foundation of China 71861026Natural Science Foundation of Gansu Province, China 18JR3RA354the Fundamental Research Funds for the Central Universities of Lanzhou University No. 18LZUJBWZD07
6 · The paper itself

Abstract

Previous studies have found that ambient temperature was associated with respiratory disease. However, little evidence is available in Lanzhou, a semi-arid region in northwest China, and respiratory disease is not well understood. This study evaluated the risk of outpatient visits for respiratory diseases associated with ambient temperatures from 2007 to 2016 in Lanzhou. We used a distributed lag non-linear model coupled with a generalized additive model to estimate the association between daily temperature and hospital visits for respiratory diseases in age- and sex-specific groups. Over 10 years, 1,042,656 hospital visits were recorded for respiratory disease, the ratio between males and females was 1.21:1. The peak period of onset occurs from November of the current year to March of the following year. Both low and high temperatures were associated with an increased risk of hospital visits for respiratory illness. The results showed that a large temperature decrease was associated with a significant risk for respiratory disease, the maximum effect of a temperature drop was reached at lag 1~2 days, the extreme low temperature (- 16 °C) had the maximum RR at lag 1, and the RR value was 1.082 (95 % CI 1.025-1.142). The high temperatures (23 °C) had maximum RR for respiratory disease on the current day, and the RR value was 1.099 (95 % CI 1.049-1.152). The high temperatures had acute and short-term effects and declined quickly over time, while the effects in low-temperature ranges were persistent over longer lag periods. Females suffered more from cold-associated morbidity than males. The effects of both hot and cold temperatures were greater among adolescents aged 6-14 years. Our study suggests that ambient temperatures are associated with hospital visits for respiratory illness in Lanzhou, particularly for those who are female and young. Caregivers and health practitioners should be made aware of the potential threat posed by cold and hot temperatures.

Indexed as

Air PollutionRespiration DisordersAdolescentChildChinaCold TemperatureFemaleHot TemperatureHumansIncidenceMaleTemperatureAir temperatureCumulativeHarmful effectLagRespiratory diseases

Identifiers

What OpenQuestion holds

Textmetadata
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.