Road Injuries Associated With Cellular Phone Use While Walking or Riding a Bicycle or an Electric Bicycle: A Case-Crossover Study

2020 ◽  
Vol 190 (1) ◽  
pp. 37-43
Author(s):  
Jun Ren ◽  
Yue Chen ◽  
Fenfen Li ◽  
Cheng Xue ◽  
Xiaoya Yin ◽  
...  

Abstract Vulnerable road users (pedestrians, bicyclists, and motorcyclists) account for an increasing proportion of traffic injuries. We used a case-crossover study design to examine the association between cell-phone usage and traffic injuries among pedestrians, bicyclists, and electric bicycle riders during the course of their travel. We studied 643 pedestrians, bike riders, and electric bike riders aged 10–35 years who were involved in a road injury, visited the emergency department in one of the 3 hospitals in Shanghai, China, in 2019, and owned a cell phone. Half of the participants (n = 323; 50.2%) had used a cell phone within 1 minute before the injury happened. A pedestrian’s or rider’s use of a mobile phone up to 1 minute before a road injury was associated with a 3-fold increase in the likelihood of injury (odds ratio = 3.00, 95% confidence interval: 2.04, 4.42; P < 0.001). The finding was consistent across subgroups by sex, occupation, reason for travel, mode of transportation, and location of injury. Use of a cell phone when walking or riding was associated with an increased risk of road injury. Measures should be taken to make people aware of this detrimental impact on the risk of road injury.

PLoS Medicine ◽  
2021 ◽  
Vol 18 (10) ◽  
pp. e1003759
Author(s):  
Dan Lewer ◽  
Brian Eastwood ◽  
Martin White ◽  
Thomas D. Brothers ◽  
Martin McCusker ◽  
...  

Background Hospital patients who use illicit opioids such as heroin may use drugs during an admission or leave the hospital in order to use drugs. There have been reports of patients found dead from drug poisoning on the hospital premises or shortly after leaving the hospital. This study examines whether hospital admission and discharge are associated with increased risk of opioid-related death. Methods and findings We conducted a case-crossover study of opioid-related deaths in England. Our study included 13,609 deaths between January 1, 2010 and December 31, 2019 among individuals aged 18 to 64. For each death, we sampled 5 control days from the period 730 to 28 days before death. We used data from the national Hospital Episode Statistics database to determine the time proximity of deaths and control days to hospital admissions. We estimated the association between hospital admission and opioid-related death using conditional logistic regression, with a reference category of time neither admitted to the hospital nor within 14 days of discharge. A total of 236/13,609 deaths (1.7%) occurred following drug use while admitted to the hospital. The risk during hospital admissions was similar or lower than periods neither admitted to the hospital nor recently discharged, with odds ratios 1.03 (95% CI 0.87 to 1.21; p = 0.75) for the first 14 days of an admission and 0.41 (95% CI 0.30 to 0.56; p < 0.001) for days 15 onwards. 1,088/13,609 deaths (8.0%) occurred in the 14 days after discharge. The risk of opioid-related death increased in this period, with odds ratios of 4.39 (95% CI 3.75 to 5.14; p < 0.001) on days 1 to 2 after discharge and 2.09 (95% CI 1.92 to 2.28; p < 0.001) on days 3 to 14. 11,629/13,609 deaths (85.5%) did not occur close to a hospital admission, and the remaining 656/13,609 deaths (4.8%) occurred in hospital following admission due to drug poisoning. Risk was greater for patients discharged from psychiatric admissions, those who left the hospital against medical advice, and those leaving the hospital after admissions of 7 days or more. The main limitation of the method is that it does not control for time-varying health or drug use within individuals; therefore, hospital admissions coinciding with high-risk periods may in part explain the results. Conclusions Discharge from the hospital is associated with an acute increase in the risk of opioid-related death, and 1 in 14 opioid-related deaths in England happens in the 2 weeks after the hospital discharge. This supports interventions that prevent early discharge and improve linkage with community drug treatment and harm reduction services.


TH Open ◽  
2019 ◽  
Vol 03 (01) ◽  
pp. e50-e57
Author(s):  
Vânia Morelli ◽  
Joakim Sejrup ◽  
Birgit Småbrekke ◽  
Ludvig Rinde ◽  
Gro Grimnes ◽  
...  

AbstractStroke is associated with a short-term increased risk of subsequent venous thromboembolism (VTE). It is unclear to what extent this association is mediated by stroke-related complications that are potential triggers for VTE, such as immobilization and infection. We aimed to investigate the role of acute stroke as a trigger for incident VTE while taking other concomitant VTE triggers into account. We conducted a population-based case-crossover study with 707 VTE patients. Triggers were registered during the 90 days before a VTE event (hazard period) and in four preceding 90-day control periods. Conditional logistic regression was used to estimate odds ratios with 95% confidence intervals (CIs) for VTE according to triggers. Stroke was registered in 30 of the 707 (4.2%) hazard periods and in 6 of the 2,828 (0.2%) control periods, resulting in a high risk of VTE, with odds ratios of 20.0 (95% CI: 8.3–48.1). After adjustments for immobilization and infection, odds ratios for VTE conferred by stroke were attenuated to 6.0 (95% CI: 1.6–22.1), and further to 4.0 (95% CI: 1.1–14.2) when other triggers (major surgery, red blood cell transfusion, trauma, and central venous catheter) were added to the regression model. A mediation analysis revealed that 67.8% of the total effect of stroke on VTE risk could be mediated through immobilization and infection. Analyses restricted to ischemic stroke yielded similar results. In conclusion, acute stroke was a trigger for VTE, and the association between stroke and VTE risk appeared to be largely mediated by immobilization and infection.


Author(s):  
Vijendra Ingole ◽  
Marc Marí-Dell’Olmo ◽  
Anna Deluca ◽  
Marcos Quijal ◽  
Carme Borrell ◽  
...  

Numerous studies have demonstrated the relationship between summer temperatures and increased heat-related deaths. Epidemiological analyses of the health effects of climate exposures usually rely on observations from the nearest weather station to assess exposure-response associations for geographically diverse populations. Urban climate models provide high-resolution spatial data that may potentially improve exposure estimates, but to date, they have not been extensively applied in epidemiological research. We investigated temperature-mortality relationships in the city of Barcelona, and whether estimates vary among districts. We considered georeferenced individual (natural) mortality data during the summer months (June–September) for the period 1992–2015. We extracted daily summer mean temperatures from a 100-m resolution simulation of the urban climate model (UrbClim). Summer hot days (above percentile 70) and reference (below percentile 30) temperatures were compared by using a conditional logistic regression model in a case crossover study design applied to all districts of Barcelona. Relative Risks (RR), and 95% Confidence Intervals (CI), of all-cause (natural) mortality and summer temperature were calculated for several population subgroups (age, sex and education level by districts). Hot days were associated with an increased risk of death (RR = 1.13; 95% CI = 1.10–1.16) and were significant in all population subgroups compared to the non-hot days. The risk ratio was higher among women (RR = 1.16; 95% CI= 1.12–1.21) and the elderly (RR = 1.18; 95% CI = 1.13–1.22). Individuals with primary education had similar risk (RR = 1.13; 95% CI = 1.08–1.18) than those without education (RR = 1.10; 95% CI= 1.05–1.15). Moreover, 6 out of 10 districts showed statistically significant associations, varying the risk ratio between 1.12 (95% CI = 1.03–1.21) in Sants-Montjuïc and 1.25 (95% CI = 1.14–1.38) in Sant Andreu. Findings identified vulnerable districts and suggested new insights to public health policy makers on how to develop district-specific strategies to reduce risks.


2014 ◽  
Vol 18 (1) ◽  
pp. 10-19
Author(s):  
Stacey O. Irwin ◽  

Perception and reciprocity are key understandings in the lived experience of driving while using a cellular phone. When I talk on a cell phone while driving, I interpret the world through a variety of technologically mediated perceptions. I interpret the bumps in the road and the bug on the windshield. I perceive the information on the dashboard and the conversation with the Other on the other end of the technological “line” of the phone. This reflection uses hermeneutical phenomenology to address the things themselves in life with which we relate and interact with in our everydayness, as we talk on a cell phone while driving.


Cephalalgia ◽  
2014 ◽  
Vol 35 (3) ◽  
pp. 203-210 ◽  
Author(s):  
Jen-Feng Liang ◽  
Yung-Tai Chen ◽  
Jong-Ling Fuh ◽  
Szu-Yuan Li ◽  
Tzeng-Ji Chen ◽  
...  

Background Headaches resulting from proton pump inhibitor (PPI) use could cause discontinuation of PPI in as many as 40% of patients who experience such headaches. Previous studies focusing on acute headache risk from PPI use are rare and limited to clinical trials of a single PPI. Objectives To investigate the association between PPI use and headache with a nationwide population-based case-crossover study. Methods Records containing the first diagnosis of any headache, including migraine and tension-type headaches, were retrieved from Taiwan National Health Insurance Database (1998–2010). We compared the rates of PPI use for cases and controls during time windows of 7, 14, and 28 days. The adjusted self-matched odds ratios (ORs) and 95% confidence intervals (CIs) from a conditional logistic regression model were used to determine the association between PPI use and headache. Results Overall, 314,210 patients with an initial diagnosis of any headache during the study period were enrolled. The adjusted ORs for headache risk after PPI exposure were calculated for three time periods (within 7 days = 1.41, p = 0.002, 95% CI 1.14–1.74; within 14 days = 1.36, p < 0.001, 95% CI 1.16–1.59; within 28 days = 1.20, p = 0.002, 95% CI 1.07–1.35). Subgroup analyses showed female patients had an increased risk of headache. Among PPIs, lansoprazole and esomeprazole had the highest risks of headache incidence, which were similar to that of nitrates. Conclusion PPI usage is associated with an increased risk for acute headache. Female patients and use of lansoprazole or esomeprazole present the greatest risks of headache.


Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Yi-Cheng Chang ◽  
Chia-Hsuin Chang ◽  
Jou Wei Lin ◽  
Lee-Ming Chuang ◽  
Mei-Shu Lai

Introduction: Dipeptidyl-peptidiase 4 (DPP4) inhibitors, a new type of oral hypoglycemic agents, have been widely used in the treatment of type 2 diabetes mellitus (DM). However, recent studies showed that the use of DPP4 inhibitors, especially saxagliptin, could be associated with an increased risk of heart failure (HF). Methods: We conducted a retrospective case-crossover study by identifying DM patients aged 20 years and above hospitalized for HF between 2009 and 2011 from Taiwan National Health Insurance Database. Diagnosis codes from inpatient claims databases were used to ascertain the index date of hospitalization. For each patient, we defined case period as 1 to 30 days before the index date and control period as 91 to 120 days before the index date. The use of DPP4 inhibitors during the case and control periods were identified from the pharmacy claims database. Odds ratios (OR) and 95% confidence intervals (CIs) were estimated by a conditional logistic regression model. Results: A total of 47,506 patients hospitalized for HF (48.2% mean and 51.8% women) was included in the analysis (mean age: 72.7±12.4 years). Among them, 2,874 patients (6.05%) used sitagliptin in the case period, and 2,318 (4.88%) did in the control period. Use of other DPP4 inhibitors, i.e., saxagliptin and vildagliptin, was rare. The analysis of the discordant medication in the two periods showed that sitagliptin use was associated with an increased risk of HF (OR: 2.85, 95% CI: 2.46-3.30). Additional analyses using different time frames as the control period showed similar results. In contrast, there was no increased risk for HF in the use of sulfonylureas or metformin. Conclusions: The nationwide case-crossover study demonstrated that sitagliptin was associated with an increased risk of hospitalization for HF. Further studies are needed to examine whether the potential risk of HF is a class effect of DPP4 inhibitors.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lamiae Grimaldi-Bensouda ◽  
Bernard Begaud ◽  
Jacques Benichou ◽  
Clementine Nordon ◽  
Olivia Dialla ◽  
...  

AbstractPharmacovigilance reports of cerebral and cardiovascular events in those who use decongestants have triggered alerts related to their use. We aimed to assess the risk of stroke and myocardial infarction (MI) associated with the use of decongestants. We conducted a nested case-crossover study of patients with incident stroke and MI identified in France between 2013 and 2016 in two systematic disease registries. Decongestant use in the three weeks preceding the event was assessed using a structured telephone interview. Conditional logistic multivariable models were used to estimate the odds of incident MI and stroke, also accounting for transient risk factors and comparing week 1 (index at-risk time window, immediately preceding the event) to week 3 (reference). Time-invariant risk factors were controlled by design. In total, 1394 patients with MI and 1403 patients with stroke, mainly 70 years old or younger, were interviewed, including 3.2% who used decongestants during the three weeks prior to the event (1.0% definite exposure in the index at-risk time window, 1.1% in the referent time window; adjusted odds ratio (aOR), 0.78; 95%CI, 0.43–1.42). Secondary analysis yielded similar results for individual events (MI/stroke). We observed no increased risk of MI or stroke for patients 70 years of age and younger without previous MI or stroke who used decongestants.


2011 ◽  
Vol 21 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Yao-Hsu Yang ◽  
Jung-Nien Lai ◽  
Chang-Hsing Lee ◽  
Jung-Der Wang ◽  
Pau-Chung Chen

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e024909 ◽  
Author(s):  
Abdallah Y Naser ◽  
Ian Chi Kei Wong ◽  
Cate Whittlesea ◽  
Maedeh Y Beykloo ◽  
Kenneth K C Man ◽  
...  

ObjectiveTo assess whether the use of multiple antidiabetic medications is associated with an increased risk of hypoglycaemia in patients with type 2 diabetes mellitus.DesignA case-crossover study.SettingCases were enrolled from the National Center for Diabetes, Endocrinology and Genetics in Amman, Jordan.ParticipantsPatients were those with diabetes mellitus and reported incident of a hypoglycaemic event in their medical records during the period January 2007 to July 2017. Patients with multiple antidiabetic medications were those with at least two antidiabetic medications.Primary outcomeHistory of antidiabetic medication use was extracted from the pharmacy records. The use of multiple antidiabetic medications during the risk window (before hypoglycaemia) was compared with a control window(s) (earlier time) of the same length after a washout period. Conditional logistic regression was applied to evaluate the OR of hypoglycaemia between the treatment groups. A secondary analysis was performed in patients with a blood glucose measurement of ≤70 mg/dL.Results182 patients (106 females, 58.2%) were included in the study with an average age of 59.9 years (SD=9.9). The patients’ average body mass index was 31.7 kg/m2 (SD=6.2). Compared with monotherapy, the OR of hypoglycaemic events for patients with multiple antidiabetic medications was 5.00 (95% CI 1.10 to 22.82). The OR was 6.00 (95% CI 0.72 to 49.84) for the secondary analysis patient group (n=94). Ten-fold increased risk was found in patients (n=155) with insulin and sulfonylurea-based combination therapy (OR 10.00;95% CI 1.28 to 78.12).ConclusionThis study shows that the use of multiple antidiabetic medications appears to increase the risk of hypoglycaemic events. Patients and healthcare professionals should be extra vigilant when patients are on multiple antidiabetic medications therapy, especially the combination of sulfonylurea and insulin.


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