ExcelMale
Menu
Home
What's new
Latest activity
Forums
New posts
Search forums
What's new
New posts
Latest activity
Videos
Lab Tests
Doctor Finder
Buy Books
About Us
Men’s Health Coaching
Log in
Register
What's new
Search
Search
Search titles only
By:
New posts
Search forums
Menu
Log in
Register
Navigation
Install the app
Install
More options
Contact us
Close Menu
Forums
General Health & Fitness
Health & Wellness
Have you worked with highly complex data and people and got Parkinsons?
JavaScript is disabled. For a better experience, please enable JavaScript in your browser before proceeding.
You are using an out of date browser. It may not display this or other websites correctly.
You should upgrade or use an
alternative browser
.
Reply to thread
Message
<blockquote data-quote="Vince" data-source="post: 261711" data-attributes="member: 843"><p><h3>Background</h3><p>The etiology of Parkinson's disease (PD) remains unclear, and environmental risk-factors such as occupation have attracted interest.</p><h3>Objective</h3><p>The goal was to investigate occupational complexity in relation to PD.</p><h3>Methods</h3><p>We conducted a population-based cohort study based on the Swedish Twin Registry that included 28,778 twins born between 1886 and 1950. We identified 433 PD cases during the study period. Data on occupation were collected from either the 1970 or 1980 Swedish census, and occupational complexity was assessed via a job exposure matrix. Cox proportional hazard regression analyses with age as the underlying time scale were used to assess PD risk as a function of the three domains of occupational complexity: data, people, and things. Sex and smoking were included as covariates. Analyses stratified by twin pair were conducted to test for confounding by familial factors.</p><h3>Results</h3><p>High occupational complexity with data and people was associated with increased risk overall (Hazard Ratio<hr /><p> = 1.07, 95% confidence interval [CI] 1.02–1.14, and HR = 1.10, 95% CI 1.01–1.21, respectively), and in men (HR = 1.08, 95% CI 1.01–1.16, and HR = 1.15, 95% CI 1.03–1.28, respectively). Complexity with things was not associated with risk of PD. When the analyses were stratified by twin pair, the HRs for occupational complexity with data and people were attenuated in men.</p><h3>Conclusions</h3><p>High complexity of work with data and people is related to increased risk of PD, particularly in men. The attenuation of risk observed in the twin pair-stratified analyses suggests that the association may partly be explained by familial factors, such as inherited traits contributing to occupational selection or other factors shared by twins.</p><p></p><p>[URL unfurl="true"]https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157797/[/URL]</p></blockquote><p></p>
[QUOTE="Vince, post: 261711, member: 843"] [HEADING=2]Background[/HEADING] The etiology of Parkinson's disease (PD) remains unclear, and environmental risk-factors such as occupation have attracted interest. [HEADING=2]Objective[/HEADING] The goal was to investigate occupational complexity in relation to PD. [HEADING=2]Methods[/HEADING] We conducted a population-based cohort study based on the Swedish Twin Registry that included 28,778 twins born between 1886 and 1950. We identified 433 PD cases during the study period. Data on occupation were collected from either the 1970 or 1980 Swedish census, and occupational complexity was assessed via a job exposure matrix. Cox proportional hazard regression analyses with age as the underlying time scale were used to assess PD risk as a function of the three domains of occupational complexity: data, people, and things. Sex and smoking were included as covariates. Analyses stratified by twin pair were conducted to test for confounding by familial factors. [HEADING=2]Results[/HEADING] High occupational complexity with data and people was associated with increased risk overall (Hazard Ratio [HR] = 1.07, 95% confidence interval [CI] 1.02–1.14, and HR = 1.10, 95% CI 1.01–1.21, respectively), and in men (HR = 1.08, 95% CI 1.01–1.16, and HR = 1.15, 95% CI 1.03–1.28, respectively). Complexity with things was not associated with risk of PD. When the analyses were stratified by twin pair, the HRs for occupational complexity with data and people were attenuated in men. [HEADING=2]Conclusions[/HEADING] High complexity of work with data and people is related to increased risk of PD, particularly in men. The attenuation of risk observed in the twin pair-stratified analyses suggests that the association may partly be explained by familial factors, such as inherited traits contributing to occupational selection or other factors shared by twins. [URL unfurl="true"]https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157797/[/URL][/HR] [/QUOTE]
Insert quotes…
Verification
Post reply
Share this page
Facebook
X (Twitter)
Reddit
Pinterest
Tumblr
WhatsApp
Email
Share
Link
Sponsors
Forums
General Health & Fitness
Health & Wellness
Have you worked with highly complex data and people and got Parkinsons?
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.
Accept
Learn more…
Top