AI Article Synopsis

  • Study Context:
  • The research examines the relationship between leprosy and social determinants of health, particularly focusing on how socioeconomic factors influence the severity of disabilities in leprosy-affected individuals in Salem, Tamil Nadu, India.
  • Methodology & Findings:
  • A total of 123 participants (33% women, 67% men) were analyzed using regression analysis, revealing that older age and less living space significantly correlated with higher disabilities, as measured by the Eyes-Hands-Feet (EHF) score.
  • Conclusion:
  • The study concludes that social inequalities, particularly related to age and housing space, play a crucial role in the severity of disabilities among those affected by leprosy, highlighting the need for

Article Abstract

A consistent relationship has been found between leprosy and inequities in social determinants of health. It, however, remains unclear which aspect of these social determinants contributes most to the risk of infection, and even less clear are the risk factors for the development of leprosy-related disabilities. The objective of this study was to elicit the differential impact of social determinants of health in leprosy-affected persons, and determine whether structural inequities in accessibility to societal resources and lower socioeconomic parameters correlated with higher severity of disabilities. This analysis was based on a sampled population affected by leprosy in Salem, Tamil Nadu, India. Persons enrolled in the study were covered by a nongovernmental lifelong care program, had completed a multidrug therapy for leprosy and/or were slit-skin-smear negative, and showed Grade 1 or higher disabilities due to leprosy. Multiple stepwise linear regression analysis was performed. The Eyes-Hands-Feet (EHF) score was the outcome variable, and gender, age, time after release from treatment, monthly income, and living space were explanatory variables. There were 123 participants, comprised of 41 (33.33%) women and 82 (66.67%) men. All study participants belonged to India's Backward classes; 81.30% were illiterate and the average monthly income was 1252 Indian rupee (INR) (US$19.08 or €17.16). The average EHF score was 7.016 (95% CI, 6.595 to 7.437). Stepwise multiple linear regression analysis built a significant model, where (2, 120) = 13.960, ≤ 0.001, effect size (Cohen's f2) = 0.81, explaining 18.9% of the variance in EHF scores (² = 0.189). Significant predictors of a higher EHF score in persons affected by leprosy were found to be higher age (beta = 0.340, 95% CI, 0.039 to 0.111, < 0.001), as well as less living space (beta = -0.276, 95% CI, -0.041 to -0.011, = 0.001). Our results suggest that inequalities in social determinants of health correspond to higher disability scores, which indicates that poor living standards are a common phenomenon in those living with leprosy-related disabilities. Further research is needed to dissect the exact development of impairments after release from treatment (RFT) in order to take targeted actions against disability deterioration.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313506PMC
http://dx.doi.org/10.3390/ijerph15122769DOI Listing

Publication Analysis

Top Keywords

social determinants
20
determinants health
16
ehf score
12
disability scores
8
leprosy-affected persons
8
salem tamil
8
tamil nadu
8
nadu india
8
leprosy-related disabilities
8
linear regression
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!