Alzheimer’s disease mortality among taxi and ambulance drivers: population based cross sectional study

Objective To analyze mortality attributed to Alzheimer’s disease among taxi drivers and ambulance drivers, occupations that demand frequent spatial and navigational processing, compared with other occupations. Design Population based cross-sectional study. Setting Use of death certificates from the National Vital Statistics System in the United States, which were linked to occupation, 1 January 2020-31 December 2022. Participants Deceased adults aged 18 years and older. Main outcomes measures Among 443 occupations studied, percentage of deaths attributed to Alzheimer’s disease for taxi drivers and ambulance drivers and each of the remaining 441 occupations, adjusting for age at death and other sociodemographic factors. Results Of 8 972 221 people who had died with occupational information, 3.88% (348 328) had Alzheimer’s disease listed as a cause of death. Among taxi drivers, 1.03% (171/16 658) died from Alzheimer’s disease, while among ambulance drivers, the rate was 0.74% (10/1348). After adjustment, ambulance drivers (0.91% (95% confidence interval 0.35% to 1.48%)) and taxi drivers (1.03% (0.87% to 1.18%)) had the lowest proportion of deaths due to Alzheimer’s disease of all occupations examined. This trend was not observed in other transportation related jobs that are less reliant on real time spatial and navigational processing or for other types of dementia. Results were consistent whether Alzheimer’s disease was recorded as an underlying or contributing cause of death. Conclusions Taxi drivers and ambulance drivers, occupations involving frequent navigational and spatial processing, had the lowest proportions of deaths attributed to Alzheimer’s disease of all occupations. Data are publicly available.

The BMJ
📢 March's newsletter is online! Read about:
🏡 #DecentralisedTrials & #HealthcareAtHome
🦠 Innovations to help fight drug-resistant pneumonia #AMR
🧠Advancing diagnosis & care of #AlzheimersDisease
& more!
🗞️ Read it: https://link.europa.eu/DhRfFM
#HorizonEU #WeekendReading #EU #Science #Research #Health
🧠 The PREDICTOM project showed that a brain scan called an EEG can distinguish between healthy people & those with subtle symptoms of #AlzheimersDisease. 🙌 EEGs are low-cost & widely accessible, enabling early detection & better outcomes.
👉 https://lnkd.in/e37arNq9
#BrainResearch #HorizonEU #BrainAwarenessWeek #BrainWeek

The article discusses a study that uses non-invasive brain scanning combined with computer modeling to measure how the Alzheimer’s drug memantine interacts with brain receptors in living patients, aiming to confirm drug action without invasive procedures. It also shows how these methods can track changes in brain activity over time in people with cognitive impairment or Alzheimer’s disease.

This approach is of interest to psychology readers because it demonstrates how brain activity and receptor dynamics relate to cognitive function and disease progression, and it highlights innovative methods for studying brain mechanisms in living humans.

Article Title: New brain scanning method safely tracks how Alzheimer’s drugs work in living patients

Link to PsyPost Article: https://www.psypost dot org/new-brain-scanning-method-safely-tracks-how-alzheimers-drugs-work-in-living-patients/

Copy and paste broken link above into your browser and replace "dot" with "." for link to work. We have to do it this way to avoid displaying copyrighted images.

#neuroimaging #alzheimersdisease #memantine #nmda-receptors #magnetoencephalography

Emmerdale and Hollyoaks siblings share heartbreak as mum dies on Mother's Day after 'awful illness'

https://fed.brid.gy/r/https://www.manchestereveningnews.co.uk/news/showbiz-news/emmerdale-hollyoaks-siblings-share-heartbreak-33597130

Blood Tests Could Provide Early Warning Of Alzheimers Disease

Alzheimer’s disease remains a frustratingly difficult condition to manage for the millions of patients affected worldwide and their families. The cause of the disease is still not properly un…

Hackaday