Investigating the socioeconomic status impact on amyotrophic lateral sclerosis

Ali Shojaie; Ahmad Al Khleifat; Sarah  Garrahy; Haniah Habash-Bailey; Rachel Thomson; Sarah Martin; Sara  Javidnia; P Nigel Leigh; Ammar Al-Chalabi

Investigating the socioeconomic status impact on amyotrophic lateral sclerosis

Ali Shojaie, Ahmad Al Khleifat, Sarah Garrahy, Haniah Habash-Bailey, Rachel Thomson, Sarah Martin, Sara Javidnia, P Nigel Leigh, Ammar Al-Chalabi

Research output: Contribution to journal › Article › peer-review

Abstract

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the gradual death of motor neurons in the brain and spinal cord, leading to fatal paralysis. Socioeconomic status (SES) is a measure of an individual’s shared economic and social status, which has been shown to have an positive association with better health outcomes. Understanding the impact of SES on health conditions is crucial, as it can influence and be influenced by health-related variables. T he role of socioeconomic status in influencing the risk and progression of ALS has not been established, and understanding the various factors that impact ALS is important in developing strategies for treatment and prevention. To investigate this relationship, we recruited 413 participants with definite, probable, or possible ALS according to the El Escorial criteria, from three tertiary centers in London, Sheffield, and Birmingham. Logistic regression was used to examine the association between case-control status, socioeconomic criteria, and ALS risk. Linear regression was used to examine the association between age of onset, diagnostic delay, and socioeconomic variables. Two sensitivity analyses were performed, one using an alternative occupational classifier, and the other using Mendelian Randomization analysis to examine association. There was no significant relationship between any variables and ALS risk. We found an inverse relationship between mean lifetime salary and age of ALS onset (Beta = −0.157, p = 0.011), but no effect of education or occupation on the age of onset. T he finding was confirmed in both sensitivity analyses and in Mendelian Randomization. We find that a higher salary is associated with a younger age of ALS onset taking into account sex, occupation, years of education, and clinical presentation.

Original language	English
Journal	Amyotrophic lateral sclerosis & frontotemporal degeneration
Publication status	Published - 2 Sept 2024

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@article{fdbc8c0e841146388b8858033c87fa8a,

title = "Investigating the socioeconomic status impact on amyotrophic lateral sclerosis",

abstract = "Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the gradual death of motor neurons in the brain and spinal cord, leading to fatal paralysis. Socioeconomic status (SES) is a measure of an individual{\textquoteright}s shared economic and social status, which has been shown to have an positive association with better health outcomes. Understanding the impact of SES on health conditions is crucial, as it can influence and be influenced by health-related variables. T he role of socioeconomic status in influencing the risk and progression of ALS has not been established, and understanding the various factors that impact ALS is important in developing strategies for treatment and prevention. To investigate this relationship, we recruited 413 participants with definite, probable, or possible ALS according to the El Escorial criteria, from three tertiary centers in London, Sheffield, and Birmingham. Logistic regression was used to examine the association between case-control status, socioeconomic criteria, and ALS risk. Linear regression was used to examine the association between age of onset, diagnostic delay, and socioeconomic variables. Two sensitivity analyses were performed, one using an alternative occupational classifier, and the other using Mendelian Randomization analysis to examine association. There was no significant relationship between any variables and ALS risk. We found an inverse relationship between mean lifetime salary and age of ALS onset (Beta = −0.157, p = 0.011), but no effect of education or occupation on the age of onset. T he finding was confirmed in both sensitivity analyses and in Mendelian Randomization. We find that a higher salary is associated with a younger age of ALS onset taking into account sex, occupation, years of education, and clinical presentation.",

author = "Ali Shojaie and {Al Khleifat}, Ahmad and Sarah Garrahy and Haniah Habash-Bailey and Rachel Thomson and Sarah Martin and Sara Javidnia and {Nigel Leigh}, P and Ammar Al-Chalabi",

year = "2024",

month = sep,

day = "2",

language = "English",

journal = "Amyotrophic lateral sclerosis & frontotemporal degeneration",

issn = "2167-8421",

publisher = "Taylor & Francis",

}

TY - JOUR

T1 - Investigating the socioeconomic status impact on amyotrophic lateral sclerosis

AU - Shojaie, Ali

AU - Al Khleifat, Ahmad

AU - Garrahy, Sarah

AU - Habash-Bailey, Haniah

AU - Thomson, Rachel

AU - Martin, Sarah

AU - Javidnia, Sara

AU - Nigel Leigh, P

AU - Al-Chalabi, Ammar

PY - 2024/9/2

Y1 - 2024/9/2

N2 - Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the gradual death of motor neurons in the brain and spinal cord, leading to fatal paralysis. Socioeconomic status (SES) is a measure of an individual’s shared economic and social status, which has been shown to have an positive association with better health outcomes. Understanding the impact of SES on health conditions is crucial, as it can influence and be influenced by health-related variables. T he role of socioeconomic status in influencing the risk and progression of ALS has not been established, and understanding the various factors that impact ALS is important in developing strategies for treatment and prevention. To investigate this relationship, we recruited 413 participants with definite, probable, or possible ALS according to the El Escorial criteria, from three tertiary centers in London, Sheffield, and Birmingham. Logistic regression was used to examine the association between case-control status, socioeconomic criteria, and ALS risk. Linear regression was used to examine the association between age of onset, diagnostic delay, and socioeconomic variables. Two sensitivity analyses were performed, one using an alternative occupational classifier, and the other using Mendelian Randomization analysis to examine association. There was no significant relationship between any variables and ALS risk. We found an inverse relationship between mean lifetime salary and age of ALS onset (Beta = −0.157, p = 0.011), but no effect of education or occupation on the age of onset. T he finding was confirmed in both sensitivity analyses and in Mendelian Randomization. We find that a higher salary is associated with a younger age of ALS onset taking into account sex, occupation, years of education, and clinical presentation.

AB - Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the gradual death of motor neurons in the brain and spinal cord, leading to fatal paralysis. Socioeconomic status (SES) is a measure of an individual’s shared economic and social status, which has been shown to have an positive association with better health outcomes. Understanding the impact of SES on health conditions is crucial, as it can influence and be influenced by health-related variables. T he role of socioeconomic status in influencing the risk and progression of ALS has not been established, and understanding the various factors that impact ALS is important in developing strategies for treatment and prevention. To investigate this relationship, we recruited 413 participants with definite, probable, or possible ALS according to the El Escorial criteria, from three tertiary centers in London, Sheffield, and Birmingham. Logistic regression was used to examine the association between case-control status, socioeconomic criteria, and ALS risk. Linear regression was used to examine the association between age of onset, diagnostic delay, and socioeconomic variables. Two sensitivity analyses were performed, one using an alternative occupational classifier, and the other using Mendelian Randomization analysis to examine association. There was no significant relationship between any variables and ALS risk. We found an inverse relationship between mean lifetime salary and age of ALS onset (Beta = −0.157, p = 0.011), but no effect of education or occupation on the age of onset. T he finding was confirmed in both sensitivity analyses and in Mendelian Randomization. We find that a higher salary is associated with a younger age of ALS onset taking into account sex, occupation, years of education, and clinical presentation.

M3 - Article

SN - 2167-8421

JO - Amyotrophic lateral sclerosis & frontotemporal degeneration

JF - Amyotrophic lateral sclerosis & frontotemporal degeneration

ER -

Investigating the socioeconomic status impact on amyotrophic lateral sclerosis

Abstract

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