Background: Sand and dust storms (SDSs) cause considerable health risks worldwide. China is a country seriously affected by SDSs, however only few studies researched the risk of SDS in China. The insufficient evidence on SDS hampers effective measures to mitigate its harm.

Objective: To reveal the mortality risks associated with SDSs in Jinan City and identify sensitive populations vulnerable to these events.

Methods: For this time-stratified case-crossover study, we collected daily data on all-cause, circulatory, and respiratory deaths, as well as air pollution and meteorological information from Jinan City in China between January 1, 2013, and November 30, 2022. We initially utilized a time-stratified case-crossover design and logistic regression model to examine the short-term relationship between SDSs and mortality risks, adjusting for specific variables such as mean temperature, humidity, wind speeds, and holidays. Subsequently, we conducted stratified analyses by age, gender, and season.

Results: A total of 53 SDSs were observed, lasting for 88 days during the study period, which accounted for 2% of the study period. The excess mortality risks associated with SDSs were 13% (95% CI: 4-22%), 4% (95% CI: 1-8%), and 3% (95% CI: 1-6%) for respiratory, circulatory, and all-cause death, respectively. Females and people over 65 years of age are vulnerable to respiratory deaths caused by SDSs.

Conclusion: Short-term exposure to SDSs caused the significantly elevated risks of respiratory, circulatory and all-cause death. Females and individuals over the age of 65 are particularly vulnerable to the effects of SDSs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11799952PMC
http://dx.doi.org/10.3389/fpubh.2025.1535543DOI Listing

Publication Analysis

Top Keywords

jinan city
12
mortality risks
12
sand dust
8
dust storms
8
city china
8
sdss
8
risks associated
8
associated sdss
8
time-stratified case-crossover
8
respiratory deaths
8

Similar Publications

PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

BMC Res Notes

March 2025

Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, 510630, China.

Objectives: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bone mineral density (BMD) testing, which has limitations in early detection. This study aims to develop and validate a machine learning approach for osteoporosis identification by integrating demographic data, laboratory and questionnaire data, offering a more practical and effective screening alternative.

Methods: In this study, data from the National Health and Nutrition Examination Survey were analyzed to explore factors linked to osteoporosis.

View Article and Find Full Text PDF

Effects of orelabrutinib, a BTK inhibitor, on antibody-mediated platelet destruction in primary immune thrombocytopenia.

Br J Haematol

March 2025

Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan City, Shandong Province, China.

Primary immune thrombocytopenia (ITP) is a haemorrhagic disorder with a complex pathogenesis, wherein autoreactive B-cell-mediated platelet destruction plays a crucial role. Bruton's tyrosine kinase (BTK) is widely expressed and essential for immune cells. Several BTK inhibitors have been used clinically to treat haematological malignancies, while few studies are focusing on the regulatory role of BTK in ITP.

View Article and Find Full Text PDF

Objective: The objective of this study was to investigate the effects of total dietary energy intake on asthma.

Study Selection: The study was a retrospective cross-sectional study of Americans aged 1-18 year. Comprehensive demographic, dietary, examination, laboratory, and asthma questionnaire data were collected for each participant.

View Article and Find Full Text PDF

First Report of Brown Stripe Disease Caused by on Rice in Guangxi (China).

Plant Dis

March 2025

Shenyang Agricultural University, College of Plant Protection, Dongling Road 120, Shenhe District, Liaoning Province, China, Shenyang, Liaoning Province, China, 110866.

Rice, being the most important food crop in China, is also the world's largest producer and consumer, accounting for 30% of global production and consumption. In 2023, brown stripes were observed on the leaf sheaths of diseased rice seedlings in a Jingxi rice field (22°51'N, 105°56'E) in Guangxi, China. The investigated area of rice fields, which was about 1.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!