Prospective correlational time-series analysis of the influence of weather and air pollution on joint pain in chronic rheumatic diseases

Ziadé, Nelly; Bouzamel, M.; Nakhlé, Myriam Mrad; Karam, George A.; Hmamouchi, Ihsane; Abouqal, Rédouane; Farah, Wehbeh

doi:10.1007/s10067-021-05735-2

Cited by 20 publications

(12 citation statements)

References 45 publications

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“…It indicated that the residual was not independent and does not meet the analysis conditions of OLS [ 24 ]. The SLM revealed that age-standardized prevalence of rheumatic diseases was positively correlated with average relative humidity and illiteracy rate while negatively correlated with average temperature and the proportion of men; this observation was consistent with other studies [ 13 , 14 , 16 , 17 ]. The global Moran’s I for the residual of SLM was −0.092 ( p = 0.372).…”

Section: Discussionsupporting

confidence: 91%

“…Several studies had evaluated the association between rheumatic diseases, temperature, and humidity; however, the findings vary. Temperature had an established negative correlation with rheumatic diseases while relative humidity had a positive correlation with rheumatic diseases [ 16 , 17 ]. However, one study provided evidence against an association between rheumatic diseases and average temperature and average relative humidity [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Spatial Distribution of Rheumatic Diseases and Its Correlation With Temperature and Humidity Among Middle-Aged and Elderly Adults in China

Yu¹,

Sheng²,

Fang³

2022

Int J Public Health

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Objectives: This study aimed to analyze the prevalence of rheumatic diseases and its correlation with temperature and humidity among middle-aged and elderly adults in China from a spatial perspective.Methods: Data on rheumatic diseases among middle-aged and elderly adults were sourced from the 2018 China Health and Retirement Longitudinal Study (CHARLS). Moran’s I was applied to explore the spatial autocorrelation of rheumatic diseases. Spatial lag model (SLM) was established to probe the correlation between rheumatic diseases and temperature and humidity.Results: The age-standardized prevalence of rheumatic diseases was 33.2% for middle-aged and elderly adults in China, varying from 12.0% to 51.4% depending on regions. The Global Moran’s I was 0.506 (p = 0.001). Average temperature had negative correlation while average relative humidity had positive correlation with age-standardized prevalence of rheumatic diseases in the SLM.Conclusion: The age-standardized prevalence of rheumatic diseases of middle-aged and elderly adults showed spatial autocorrelation in China. We recommend taking measures to prevent rheumatic diseases for the middle-aged and elderly adults, especially for those living in cold and humid regions.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Exploring the Spatial Distribution of Rheumatic Diseases and Its Correlation With Temperature and Humidity Among Middle-Aged and Elderly Adults in China

Yu¹,

Sheng²,

Fang³

2022

Int J Public Health

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“…The mechanisms via which PM 2.5 induces osteoarthritis pathways are unclear. One of the main reasons for the increase in outpatient visits after short-term PM 2.5 exposure could be the increase in knee osteoarthritis-associated pain that results from serious air pollution [40]. With regard to the pathophysiological mechanisms, particulate matter may induce the production of reactive oxygen species [41], which could lead to systemic inflammation and the release of proinflammatory cytokines, such as TNF-α, IL-1β, and IL-6 [42,43].…”

Section: Discussionmentioning

confidence: 99%

Impact of Exposure to Ambient Fine Particulate Matter Pollution on Adults with Knee Osteoarthritis

Chen

Wang

et al. 2021

IJERPH

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The impact of exposure to fine particulate matter (PM2.5) on the incidence of knee osteoarthritis is unclear, especially in Beijing which is a highly polluted city. We conducted a time-series study to examine the correlation between PM2.5 exposure and outpatient visits for knee osteoarthritis in Beijing. Changes (in percentage) in the number of outpatient visits corresponding to every 10-μg/m3 increase in the PM2.5 concentration were determined using a generalized additive quasi-Poisson model. There were records of 9,797,446 outpatient visits for knee osteoarthritis in the study period from 1 January 2010 to 31 December 2017. The daily concentration of PM2.5 was 86.8 (74.3) μg/m3 over this period. A 10-μg/m3 increase in PM2.5 concentrations on lag days 0–3 was associated with a 1.41% (95% confidence interval: 1.40–1.41%) increase in outpatient visits for knee osteoarthritis. Females and patients aged above 65 years were more sensitive to the adverse effects of PM2.5 exposure. The present findings demonstrate that short-term exposure to PM2.5 resulted in an increase in the number of outpatient visits for knee osteoarthritis in Beijing. The findings shed light on the effects of air pollution on knee osteoarthritis and could guide risk-mitigating strategies in cities such as Beijing.

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“…Previous studies have suggested some association between ambient temperature and the sensitivity and intensity of pain ( 11 – 13 ). A recent research conducted by Ziadé et al found that pain was associated negatively with temperature, and a drop of 10°C in ambient temperature corresponded to an increase of 0.5 points on the pain numerical scale, which means temperature could explain 22% of pain variance ( 14 ). In contrast, related molecular biology experiments also revealed there is a relationship between ambient temperature and pain.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Ambient Temperature on Lumbar Disc Herniation: A Retrospective Study

Wang

Liu

et al. 2022

Front. Med.

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PurposeThis article was designed to provide critical evidence into the relationship between ambient temperature and intensity of back pain in people with lumbar disc herniation (LDH).MethodsData concerning patient's age, gender, diagnostic logout, admission time, discharge time, residence area, and work area (residence area and work area were used to ensure research area) from 2017 to 2019 were obtained from the Neck-Shoulder and Lumbocrural Pain Hospital in Jinan, China. A total of 1,450 hospitalization records were collected in total. The distributed lag non-linear model (DLNM) was used to evaluate the relationship between lag–response and exposure to ambient temperature. Stratification was based on age and gender. Days 1, 5, 20, and 28 prior to admission were denoted as lags 0, 5, 20, and 28, respectively.ResultsAn average daily temperature of 15–23°C reduced the risk of hospitalization the most in men. Conversely, temperatures <10°C drastically increased hospitalization in men, particularly in lags 0–5 and lags 20–28. Men aged between 40 and 50 years old showed less effect in pain sensation during ambient temperature.ConclusionHigh or low ambient temperature can increase the hospitalization risk of LDH, and sometimes, the temperature effect is delayed.

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Prospective correlational time-series analysis of the influence of weather and air pollution on joint pain in chronic rheumatic diseases

Cited by 20 publications

References 45 publications

Exploring the Spatial Distribution of Rheumatic Diseases and Its Correlation With Temperature and Humidity Among Middle-Aged and Elderly Adults in China

Exploring the Spatial Distribution of Rheumatic Diseases and Its Correlation With Temperature and Humidity Among Middle-Aged and Elderly Adults in China

Impact of Exposure to Ambient Fine Particulate Matter Pollution on Adults with Knee Osteoarthritis

The Effects of Ambient Temperature on Lumbar Disc Herniation: A Retrospective Study

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