Tag: low-income populations

Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study

Abstract:

Background:

Previous research has shown that socioeconomic status (SES) is a strong predictor of chronic disease. However, to the best of our knowledge, there has been no studies of how SES affects the risk of Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) that has not been based upon self-reporting or retrospectively screening of symptoms. As far as we know, this is therefore the first study that isolate and describe socioeconomic determinants of ME/CFS and calculate how these factors relate to the risk of ME/CFS diagnosis by utilizing individual level registry data, which allows for objective operationalization of the ME/CFS population, and the utilization of different control groups.

Data and methods: We utilize health registry data from all adult patients diagnosed with ME/CFS from 2016-2018 in Norway, coupled with socioeconomic data from statistics Norway from 2009-2018. We operationalize SES as household income and educational attainment fixed at the beginning of the study period. We compare the effects of SES on the risk of ME/CFS diagnosis to a population of patients with hospital diagnoses that share clinical characteristics of ME/CFS and a healthy random sample of the Norwegian population. Our models are estimated by logistic regression analyses.Results: When comparing the risk of ME/CFS diagnosis with a population consisting of people with four specific chronic diseases, we find that high educational attainment is associated with a 19% increase (OR: 1.19) in the risk of ME/CFS and that high household income is associated with a 18% increase (OR:0.82) in risk of ME/CFS. In model 2, when comparing with a healthy population sample, we find that low educational attainment is associated with 69% decrease (OR:0.31) in the risk of ME/CFS and that low household income is associated with a 53% increase (OR: 1.53).

Conclusion: We find statistically significant associations between SES and the risk of ME/CFS. However, our more detailed analyses shows that our findings vary according to which population we compare the ME/CFS patients with, and that the effect of SES is larger when comparing with a healthy population sample, as opposed to controls with selected hospital diagnoses.

Source: Hilland GH, Anthun KS. Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study. Research Square; 2023. DOI: 10.21203/rs.3.rs-2755999/v1. https://europepmc.org/article/ppr/ppr646979 (Full text available as PDF file)

Inequity and disparities mar existing global research evidence on Long COVID

Abstract:

Since the pandemic began in December 2019, SARS-Cov2 has accentuated the wide gap and disparities in socioeconomic and healthcare access at individual, community, country, and regional levels. More than two years into the current pandemic, up to three-fourths of the patients are reporting continued signs and symptoms beyond the acute phase of COVID-19, and Long COVID portends to be a major challenge in the future ahead.

With a comprehensive overview of the literature, we found that most studies concerning long COVID came from high and upper-middle income countries, and people of low-income and lower-and-middle income regions and vulnerable groups with comorbid conditions have been neglected. Apart from the level of income, there is a significant geographical heterogeneity in investigating the Post-Acute Sequelae of COVID-19 (PASC) or what we call now, long COVID. We believe that these recognizing health disparities is crucial from equity perspective and is the first step toward global health promotion.

Source: Taghrir MH, Akbarialiabad H, Abdollahi A, Ghahramani N, Bastani B, Paydar S, Razani B, Mwangi J, Asadi-Pooya AA, Roozbeh J, Malekmakan L, Kumar M. Inequity and disparities mar existing global research evidence on Long COVID. Glob Health Promot. 2022 Aug 12:17579759221113276. doi: 10.1177/17579759221113276. Epub ahead of print. PMID: 35962520. https://pubmed.ncbi.nlm.nih.gov/35962520/

Chronic fatigue syndrome: have flawed assumptions been derived from treatment-based studies?

Abstract:

Chronic fatigue syndrome is a disabling disorder that has been studied primarily in clinical settings. In the absence of an adequate epidemiological database, cultural stereotypes have influenced the characterization of chronic fatigue syndrome as “the yuppie flu,” similar to the 19th century characterization of neurasthenia as a disease of the affluent. The limited epidemiological data available and the overall medical-sociological literature call this assumption into question. Only a community “true” prevalence study that is unbiased by help seeking and access to health care can provide an accurate assessment of the risk factors for and the public health ramifications of this disease.

 

Source: Richman JA, Flaherty JA, Rospenda KM. Chronic fatigue syndrome: have flawed assumptions been derived from treatment-based studies? Am J Public Health. 1994 Feb;84(2):282-4. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1615008/

You can read the full article here: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1615008/pdf/amjph00453-0124.pdf