scholarly journals Effect of ambient temperature on outpatient admission for osteoarthritis and rheumatoid arthritis in a subtropical Chinese city

2020 ◽  
Author(s):  
Desheng Zhao ◽  
Jian Cheng ◽  
Ping Bao ◽  
Yanwu Zhang ◽  
Fengjuan Liang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Ambient Temperature ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Individual Characteristics ◽  
Effect Of Temperature ◽  
Temperature Decrease ◽  
Distributed Lag ◽  
The Impact ◽  
The Relationship

Abstract Background Current findings on the impact of weather conditions on osteoarthritis (OA) and rheumatoid arthritis (RA) are sparse and not conclusive. This study aimed to investigate the relationship between temperature change and OA/RA admission. Methods Daily OA/RA admission and meteorological data from 1 January 2014 to 31 December 2017 in Hefei, China, were collected. We quantified the relationship between ambient temperature and OA/RA admission using a distributed lag nonlinear model (DLNM). The effect modifications by gender and age were also examined. Results Sudden temperature decrease was significantly associated with RA admission (25th percentile of temperature versus 50th percentile of temperature), with the acute and largest effect at current days lag (RR: 1.063, 95%CI: 1.010–1.118). However, no association between temperature and OA admission was observed. When conducting subgroup analyses by individual characteristics, we found that females and patients aged 41–65 years were more vulnerable to temperature decrease than males, patients aged 0–40 and ≧ 66 years, respectively. Conclusions This study suggested that sudden temperature decrease was a risk factor for increase RA admission. Females and patients aged 41–65 years were particularly vulnerable to the effect of temperature decrease.

scholarly journals The modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Rui Zhang ◽  
Yujie Meng ◽  
Hejia Song ◽  
Ran Niu ◽  
Yu Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
High Temperature ◽  
Air Pollutants ◽  
Meteorological Data ◽  
Effect Of Temperature ◽  
Distributed Lag ◽  
Modification Effect ◽  
Incidence Risk ◽  
The Impact ◽  
The Relationship

Abstract Background Although exposure to air pollution has been linked to many health issues, few studies have quantified the modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China. Methods The data of daily incidence of influenza and the relevant meteorological data and air pollution data in Ningbo from 2014 to 2017 were retrieved. Low, medium and high temperature layers were stratified by the daily mean temperature with 25th and 75th percentiles. The potential modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo was investigated through analyzing the effects of air pollutants stratified by temperature stratum using distributed lag non-linear model (DLNM). Stratified analysis by sex and age were also conducted. Results Overall, a 10 μg/m3 increment of O3, PM2.5, PM10 and NO2 could increase the incidence risk of influenza with the cumulative relative risk of 1.028 (95% CI 1.007, 1.050), 1.061 (95% CI 1.004, 1.122), 1.043 (95% CI 1.003, 1.085), and 1.118 (95% CI 1.028, 1.216), respectively. Male and aged 7–17 years were more sensitive to air pollutants. Through the temperature stratification analysis, we found that temperature could modify the impacts of air pollution on daily incidence of influenza with high temperature exacerbating the impact of air pollutants. At high temperature layer, male and the groups aged 0–6 years and 18–64 years were more sensitive to air pollution. Conclusion Temperature modified the relationship between air pollution and daily incidence of influenza and high temperature would exacerbate the effects of air pollutants in Ningbo.

scholarly journals Effects of Ambient Temperature and Fall Related Injuries in Ma'anshan, Anhui Province, China: A Distributed Lag Non-linear Analysis

2021 ◽  
Author(s):  
Mingming Liang ◽  
Xiuxiu Ding ◽  
Zhenhai Yao ◽  
Leilei Duan ◽  
Xiuya Xing ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Economic Cost ◽  
Injury Prediction ◽  
Fall Injuries ◽  
Distributed Lag ◽  
Exposure Response ◽  
Distributed Lag Nonlinear Model ◽  
The Impact

Abstract Despite the significant economic cost of falls and injuries to individuals and communities, little is known about the impact of meteorological factors on the incidence of fall-related injuries (FRIs). Therefore, a time-series study was conducted to explore the effects of meteorological factors on FRIs in Ma'anshan City, East China. Injury data from 2011 to 2017 were collected from the National Injury Monitoring Station in Ma'anshan City. Meteorological data were obtained from the National Meteorological Information Center. A distributed lag nonlinear model was used in this study to evaluate the correlation between ambient temperature and fall injuries. The results showed a significant exposure-response relationship between temperature and FRIs in Ma'anshan City. There was an asymmetric U-shaped relationship between ambient temperature and injuries, if the lowest risk temperature (4°C) was used as the reference temperature. The high temperatures increases the risk of FRIs (RR = 1.110, 95%CI:1.005–1.225). Sensitivity to ambient temperature varied by different ages and genders, and the ≥ 60 years subgroup seemed to be more sensitive in low temperature (RR = 1.071, 95༅CI:1.024–1.120). The cumulative result is similar to the single-day effect. This study would help the establishment of fall-related injury prediction and provide evidence for the formulation and implementation of preventive strategies and measures in the future.

scholarly journals Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China

2021 ◽  
Author(s):  
Ling-Shuang Lv ◽  
Chun-Liang Zhou ◽  
Dong-Hui Jin ◽  
Wen-Jun Ma ◽  
Tao Liu ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Ambient Temperature ◽  
Global Climate ◽  
Meteorological Data ◽  
Premature Death ◽  
Cold Temperature ◽  
Central China ◽  
Hunan Province ◽  
Distributed Lag ◽  
The Impact

Abstract Background In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temperature. In this study, we aimed to assess the relationship between ambient temperature and life loss and estimate the impact of ambient temperature on life loss per death. Methods We collected daily time series of mortality and meteorological data from 70 locations in Hunan province, central China, in periods ranging from Jan. 1, 2013, to Dec. 31, 2017. Crude rates of YLL were calculated per 100,000 people per year (YLL/100,000 population) for each location. A distributed lag nonlinear model and multivariate meta-regression were used to estimate the associations between ambient temperature and YLL rates. Then, the average life loss per death attributable to ambient temperature was calculated. Results There were 711,484 CVD deaths recorded within the study period. The exposure-response curve between ambient temperature and YLL rates was inverted J or U-shaped. Relative to the minimum YLL rate temperature, the life loss risk of extreme cold temperature lasted for 10 to 12 days, whereas the risk of extreme hot temperature appeared immediately and lasted for 3 days. On average, the life loss per death attributable to non-optimum ambient temperatures was 1.89 (95% CI, 1.21-2.56) years. Life loss was mainly caused by cold temperature (1.13, 95% CI, 0.89‑1.37), particularly moderate cold (1.00, 95% CI, 0.78‑1.23). For demographic characteristics, the mean life loss per death was relatively higher for males (2.07, 95% CI, 1.44‑2.68) and younger populations (3.72, 95% CI, 2.06‑5.46) than for females (1.88, 95% CI, 1.21-2.57) and elderly people (1.69, 95% CI, 1.28-2.10), respectively. Conclusions We found that both cold and hot temperatures significantly aggravated premature death from CVDs. Our results indicated that the whole range of effects of ambient temperature on CVDs should be given attention.

scholarly journals Weather and Aggressive Behavior among Patients in Psychiatric Hospitals—An Exploratory Study

2020 ◽  
Vol 17 (23) ◽  
pp. 9121
Author(s):  
Jakub Lickiewicz ◽  
Katarzyna Piotrowicz ◽  
Patricia Paulsen Hughes ◽  
Marta Makara-Studzińska
Keyword(s):  
Aggressive Behavior ◽  
Meteorological Data ◽  
Rank Correlation ◽  
Psychiatric Hospitals ◽  
Weather Conditions ◽  
Mental Illnesses ◽  
Weather Factors ◽  
Coercive Measures ◽  
The Impact ◽  
The Relationship

Background: The number of meteoropaths, or people negatively affected by weather conditions, is rising dramatically. Meteoropathy is developing rapidly due to ever poorer adaptations of people to changes in weather conditions. Strong weather stimuli may not only exacerbate symptoms in people with diseases of the cardiovascular and respiratory systems but may also induce aggressive behavior. Researchers have shown that patients suffering from mental illnesses are most vulnerable to changes in the weather and postulate a connection between the seasons and aggressive behavior. Methods: The goal of the study was to analyze the relationship between coercive measures and weather factors. The researchers identified what meteorological conditions prevailed on days with an increased number of incidents of aggressive behavior leading to the use of physical coercion towards patients in a psychiatric hospital in Poland. In order to determine the impact of weather conditions on the frequency at which physical coercion measures were used, the hospital’s “coercion sheets” from 1 January 2015 to 31 March 2017 were analyzed. The data were correlated with meteorological data. In order to determine the relationship between the occurrence of specific weather conditions and the number of coercive interventions (N), researchers utilized Spearman’s rank correlation analysis together with two-dimensional scatter diagrams (dependency models), multiple regression, stepwise regression, frequencies, and conditional probability (%). Results: Lower barometric pressure and foehn wind increased aggressive behavior in patients that led to coercive measures. For temperature (positive correlation) and humidity (negative correlation), there was a poor but statistically significant correlation. Conclusions: Monitoring weather conditions might be useful in predicting and preventing aggression by patients who are susceptible to weather changes

scholarly journals Changes in ambient temperature increase hospital outpatient visits for allergic rhinitis in Xinxiang, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianhui Gao ◽  
Mengxue Lu ◽  
Yinzhen Sun ◽  
Jingyao Wang ◽  
Zhen An ◽  
...  
Keyword(s):  
Allergic Rhinitis ◽  
Ambient Temperature ◽  
Positive Association ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Hospital Outpatient ◽  
Distributed Lag ◽  
Outpatient Visits ◽  
Daily Data ◽  
The Relationship

Abstract Background The effect of ambient temperature on allergic rhinitis (AR) remains unclear. Accordingly, this study aimed to explore the relationship between ambient temperature and the risk of AR outpatients in Xinxiang, China. Method Daily data of outpatients for AR, meteorological conditions, and ambient air pollution in Xinxiang, China were collected from 2015 to 2018. The lag-exposure-response relationship between daily mean temperature and the number of hospital outpatient visits for AR was analyzed by distributed lag non-linear model (DLNM). Humidity, long-time trends, day of the week, public holidays, and air pollutants including sulfur dioxide (SO2), and nitrogen dioxide (NO2) were controlled as covariates simultaneously. Results A total of 14,965 AR outpatient records were collected. The relationship between ambient temperature and AR outpatients was generally M-shaped. There was a higher risk of AR outpatient when the temperature was 1.6–9.3 °C, at a lag of 0–7 days. Additionally, the positive association became significant when the temperature rose to 23.5–28.5 °C, at lag 0–3 days. The effects were strongest at the 25th (7 °C) percentile, at lag of 0–7 days (RR: 1.32, 95% confidence intervals (CI): 1.05–1.67), and at the 75th (25 °C) percentile at a lag of 0–3 days (RR: 1.15, 95% CI: 1.02–1.29), respectively. Furthermore, men were more sensitive to temperature changes than women, and the younger groups appeared to be more influenced. Conclusions Both mild cold and mild hot temperatures may significantly increase the risk of AR outpatients in Xinxiang, China. These findings could have important public health implications for the occurrence and prevention of AR.

scholarly journals It’s the Weather: Quantifying the Impact of Weather on Retail Sales

2021 ◽  
Author(s):  
Natalie Rose ◽  
Les Dolega
Keyword(s):  
Weather Condition ◽  
Weather Conditions ◽  
Influential Factor ◽  
Retail Sector ◽  
Retail Sales ◽  
Weather Impact ◽  
High Street ◽  
Sector Decision ◽  
The Impact ◽  
The Relationship

AbstractThe weather is considered as an influential factor on consumer purchasing behaviours and plays a significant role in many aspects of retail sector decision making. As a result, better understanding of the magnitude and nature of the influence of variable UK weather conditions can be beneficial to many retailers and other stakeholders. This study addresses the dearth of research in this area by quantifying the relationship between different weather conditions and trading outcomes. By employing comprehensive daily sales data for a major high street retailer with over 2000 stores across England and adopting a random forest methodology, the study quantifies the influence of various weather conditions on daily retail sales. Results indicate that weather impact is greatest in the summer and spring months and that wind is consistently found to be the most influential weather condition. The top five most weather-dependent categories cover a range of different product types, with health foods emerging as the most susceptible to the weather. Also, sales from out-of-town stores show a far more complex relationship with the weather than those from traditional high street stores with the regions London and the South East experiencing the greatest levels of influence. Various implications of these findings for retail stakeholders are discussed and the scope for further research outlined.

scholarly journals Association between temperature and back pain among lumbar disc herniation patients

2020 ◽  
Author(s):  
Cai Chen ◽  
Dandan Wang ◽  
Fanjie Liu ◽  
Hao Qin ◽  
Xiyuan Li ◽  
...  
Keyword(s):  
Back Pain ◽  
Ambient Temperature ◽  
Lumbar Disc Herniation ◽  
Disc Herniation ◽  
Linear Models ◽  
Lumbar Disc ◽  
Average Temperature ◽  
Distributed Lag ◽  
And Gender ◽  
The Relationship

AbstractPurposeThis paper was designed to critically provide empirical evidence for the relationship between temperature and intensity of back pain among people with lumbar disc herniation (LDH).MethodsDistributed lag linear and non-linear models (DLNM) was used to evaluate the relationship between lag-response and exposure to ambient temperature. Stratification was based on age and gender.ResultsWhen daily average temperature was on the rage of 15-23□, the risk of hospitalization was at the lowest level for men group. About below 10□, risk for male hospitalization could keep increase when lag day were during lag0-lag5 and lag20-lag28. 40<age≤50 group was little affected when they exposed to ambient temperature.

scholarly journals How Does Urban Green Space Impact Residents’ Mental Health: A Literature Review of Mediators

2021 ◽  
Vol 18 (22) ◽  
pp. 11746
Author(s):  
Kaili Chen ◽  
Tianzheng Zhang ◽  
Fangyuan Liu ◽  
Yingjie Zhang ◽  
Yan Song
Keyword(s):  
Mental Health ◽  
Green Space ◽  
Urban Green Space ◽  
Individual Characteristics ◽  
Policy Implications ◽  
Space Planning ◽  
Urban Green ◽  
And Gender ◽  
The Impact ◽  
The Relationship

In recent years, the interest in the relationship between urban green space and residents’ mental health has gradually risen. A number of researchers have investigated the causal relationship and possible mediators between the two, although few have summarized these mediators. For this reason, we searched for relevant studies and filtered them by criteria and quality score, and analyzed the mediators and paths of the impact of urban green space on residents’ mental health. The mediators can be divided into environmental factors, outdoor activity, and social cohesion. From the perspective of heterogeneity, both individual characteristics (e.g., age and gender) and group characteristics (e.g., level of urban development and urban density) of residents are considered to be the cause of various mediating effects. Types of urban green space tend to affect residents’ mental health through different paths. Furthermore, this review discusses the details of each part under the influence paths. Finally, the policy implications for urban green space planning from three mediator levels are put forward based on an analysis of the situation in different countries.

Income and healthcare financing system in the United States: an asymmetric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehdi Barati ◽  
Hadiseh Fariditavana
Keyword(s):  
The United States ◽  
Set Covering ◽  
Healthcare Financing ◽  
Financing System ◽  
Data Set ◽  
Content Type ◽  
Funding Sources ◽  
Distributed Lag ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this study is to first assess how the US healthcare financing system is influenced by income variation. Then, it examines whether or not the impact of income variation is asymmetric.Design/methodology/approachFor the analyses of this paper, the autoregressive distributed lag (ARDL) model is implemented to a data set covering the period from 1960 to 2018.FindingsThe results provide evidence that major funding sources of aggregate healthcare expenditure (HCE) respond differently to changes in income. The results also imply that the effect of income is not always symmetric.Originality/valueMany studies have attempted to identify the relationship between income and HCE. A common feature of past studies is that they have only focused on aggregate HCE, while one might be interested in knowing how major funders of aggregate HCE would be affected by changes in income. Another common feature of past studies is that they have assumed that the relationship between income and HCE is symmetric.

Impact of Adulthood Stage and Social-Environmental Context on Body Mass Index and Physical Activity of Individuals With Intellectual Disability

2015 ◽  
Vol 53 (2) ◽  
pp. 100-113 ◽  
Author(s):  
Kelly Hsieh ◽  
Tamar Heller ◽  
Julie Bershadsky ◽  
Sarah Taub
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Intellectual Disability ◽  
Community Participation ◽  
Body Mass ◽  
Environmental Context ◽  
Individual Characteristics ◽  
Social Environmental ◽  
The Impact ◽  
The Relationship

Abstract Individuals with intellectual disability (ID) are at risk for obesity and physical inactivity. We analyzed a subset of 2009–2010 National Core Indicators (NCI) database to examine (1) the impact of three adulthood stages– younger (20–39 years), middle (40–59 years), and older (60 years and older) on Body Mass Index (BMI) and physical activity (PA); and (2) the relationship between social-environmental context (i.e., residence type, everyday choices, and community participation) and BMI and PA, with adjustment for individual characteristics of the adults with ID. Findings highlight the need to pay more attention to obesity by providing health education and emphasizing healthy choices. Results also suggest the importance of community participation as a way of promoting more physical activity.

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