Background: Quality of life is an important indicator for measuring health status, and information on quality of life of different groups in society can be used to assess the effect of interventions on health.
Aims: This study aimed to assess the relationship between urban poverty and perception of family socioeconomic status, and health-related quality of life in residents of informal settlements.
Methods: A cross-sectional study was conducted among 432 residents of two neighbourhoods of informal settlements in Kermanshah in 2015. To measure poverty, the 16 indicators of 2011 Iranian census were used. The neighbourhoods were classified into three groups: high poverty (9.3%), middle poverty (49.2%) and low poverty (41.5%) levels. Health-related quality of life was assessed with the SF-36 questionnaire. The Pearson correlation coefficient was calculated and regression and ANOVA analyses were done.
Results: There were no statistically significant differences between the SF-36 scores for the three poverty levels, and no relationship between poverty and the health-related quality of life subscales (P > 0.05). A significant positive correlation was found between perception of family socioeconomic status and health-related quality of life (P < 0.05). In regression analysis, having a chronic illness, perception of family socioeconomic status, age and sex predicted the physical health domain of the SF-36, whereas perception of family socioeconomic status and having a chronic illness predicted the mental health domain.
Conclusions: Subjective perception of family socioeconomic status can explain differences in health-related quality of life of low-income people.
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http://dx.doi.org/10.26719/emhj.19.013 | DOI Listing |
Glob Health Res Policy
January 2025
Center for Public Health and Epidemic Preparedness and Response, Peking University, Haidian District, 38Th Xueyuan Road, Beijing, 100191, China.
Background: As population aging intensifies, it becomes increasingly important to elucidate the casual relationship between aging and changes in population health. Therefore, our study proposed to develop a systematic attribution framework to comprehensively evaluate the health impacts of population aging.
Methods: We used health-adjusted life expectancy (HALE) to measure quality of life and disability-adjusted life years (DALY) to quantify the burden of disease for the population of Guangzhou.
Pilot Feasibility Stud
January 2025
Department of Internal Medicine - Cardiology, Virginia Commonwealth University, West Hospital 8th Floor, North Wing, Richmond, VA, 23298, USA.
Background: To determine the feasibility, acceptability, and preliminary efficacy of a 6-month tailored non-linear progressive physical activity intervention (PAI) for lymphoma patients undergoing chemotherapy.
Methods: Patients newly diagnosed with lymphoma (non-Hodgkin (NHL) or Hodgkin (HL)) were randomized into the PAI or healthy living intervention (HLI) control (2:1). Feasibility was assessed by examining accrual, adherence, and retention rates.
Diabetol Metab Syndr
January 2025
Serviço de Endocrinologia (SEMPR) do Hospital das Clínicas da Universidade Federal do Paraná (UFPR), Curitiba, Brazil.
Background: Type 2 diabetes mellitus (T2D) is a global health concern with a rising prevalence, particularly in Brazil. Insulin therapy plays a crucial role in managing T2D, helping to maintain glucose and energy homeostasis. Moreover, early initiation of insulin is crucial for hyperglycemic control and prevention of chronic complications.
View Article and Find Full Text PDFInj Epidemiol
January 2025
Injury Prevention Research Center, University of Iowa, 145 N Riverside Dr., Iowa City, IA, 52242, USA.
Background: Motor vehicle crashes are the second leading cause of injury death among adults aged 65 and older in the U.S., second only to falls.
View Article and Find Full Text PDFBMC Med Genomics
January 2025
Department of Otolaryngology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, WuHua District, Kunming City, Yunnan Province, China.
Hearing loss is a prevalent condition with a significant impact on individuals' quality of life. However, comprehensive studies investigating the differential gene expression and regulatory mechanisms associated with hearing loss are lacking, particularly in the context of diverse patient samples. In this study, we integrated data from 10 patients across different regions, age groups, and genders, with their data retrieved from a public transcriptome database, to explore the molecular basis of hearing loss.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!