Evidence on social inequalities in mental health of persons with physical impairments is limited. We therefore investigate associations of individual-level socioeconomic status (SES) and the country-level socioeconomic development (SED) with mental health in persons with spinal cord injury (SCI). We analyzed data from 12,588 participants of the International SCI Community Survey from 22 countries. To investigate individual-level inequalities, SES indicators (education, income, financial hardship, subjective status) were regressed on the SF-36 mental health index (MHI-5), stratified by countries. Country-level inequalities were analyzed with empirical Bayes estimates of random intercepts derived from linear mixed-models adjusting for individual-level SES. Financial hardship and subjective status consistently predicted individual-level mental health inequalities. Country-level SED was inconsistently related to mental health when adjusting for individual-level SES. It however appeared that higher SED was associated with better mental health within higher-resourced countries. Reducing impoverishment and marginalization may present valuable strategies to reduce mental health inequalities in SCI populations. Investigations of country-level determinants of mental health in persons with SCI should consider influences beyond country-level SED, such as cultural factors.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747630 | PMC |
http://dx.doi.org/10.3389/ijph.2022.1604673 | DOI Listing |
J Med Internet Res
January 2025
School of Public Health, Capital Medical University, Beijing, China.
Background: Health inequalities among older adults become increasingly pronounced as aging progresses. In the digital era, some researchers argue that access to and use of digital technologies may contribute to or exacerbate these existing health inequalities. Conversely, other researchers believe that digital technologies can help mitigate these disparities.
View Article and Find Full Text PDFNeurology
February 2025
Division of Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Ontario, Canada.
Pathogenic variants in cause congenital muscular dystrophy through hypoglycosylation of alpha-dystroglycan (OMIM #615350). The established phenotypic spectrum of GMPPB-related disorders includes recurrent rhabdomyolysis, limb-girdle muscular dystrophy, neuromuscular transmission abnormalities, and congenital muscular dystrophy with variable brain and eye anomalies. We report a 9-month-old male infant with congenital muscular dystrophy, infantile spasms, and compound heterozygous pathogenic variants (c.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Instituto Superior Miguel Torga, Coimbra, Portugal.
Personality traits and coping strategies significantly predict predisposition to psychopathology. This study aimed to examine the predictive role of coping strategies in psychological distress during the COVID-19 pandemic in a sample of Portuguese individuals, considering personality and sociodemographic variables. Data were collected using Google Forms from 2402 individuals (86.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Universidade Federal de Alagoas, Maceió, Brasil.
This study aimed to investigate the presence of mental illness in victims of soil instability in neighborhoods affected by rock salt extraction from a mining company located in the city of Maceió, Alagoas, Brazil. It is a quantitative, descriptive-analytical, and cross-sectional study. The sample was intentional and non-probabilistic and consisted of 158 participants, with a 0.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Campinas, Brasil.
This study aimed to identify the existence of therapeutic itineraries shared by users of specialized mental health services in a medium-sized municipality. This is a cross-sectional study, carried out from August to November 2019 including 341 users of specialized mental health services in the municipality of Itatiba, São Paulo State, Brazil. To identify the itineraries, based on a set of variables, the users were grouped with clustering.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!