The aim of the present nationwide Greek study is to assess whether survival from acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) is modified by socioeconomic status (SES) and area remoteness. Detailed precoded information derived from a personal interview conducted by specially trained health personnel with the child guardians was available for 883 ALL and 111 AML incident childhood cases registered in the Nationwide Registry for Childhood Hematological Malignancies during the period 1996-2010. Parental socioprofessional category was recorded on the basis of ISCO68 and ISCO88 codes; the exact traveling distance between residence and the treating hospital was ad hoc calculated. Multivariate Cox's proportional hazards models were applied to examine the mutually adjusted associations between survival and potential predictors. Children from a lower parental socioprofessional category experienced 40% worse survival (P=0.02) independent of age, sex, and ALL subtype, whereas those whose parents were married had better outcomes (rate ratio: 0.47, P=0.01). Urbanization of residence at diagnosis or 'residence to treating hospital' distance was not nominally associated with survival from ALL. By contrast, no noteworthy associations implicating SES were found for AML survival, probably because of the burden of the disease and small numbers. Lower SES indicators and a single-parenthood family milieu seem to be independently associated with unfavorable outcomes from childhood ALL. Area remoteness might not be a significant outcome predictor during recent years, following considerable improvements in the motorway infrastructures and care delivery patterns. This study may provide a valuable snapshot capturing the impact of socioeconomic covariates before the burst of the Greek financial crisis.

Download full-text PDF

Source
http://dx.doi.org/10.1097/CEJ.0b013e32835c7f69DOI Listing

Publication Analysis

Top Keywords

area remoteness
12
socioeconomic status
8
nationwide registry
8
registry childhood
8
childhood hematological
8
hematological malignancies
8
parental socioprofessional
8
socioprofessional category
8
survival
6
childhood
5

Similar Publications

Background: The purposes of this study were to examine the reliability and factorial and convergent validity of a virtual performance measure (VPM) in patients with osteoarthritis (OA) of the hip joint and to compare the known-group validity of the VPM with traditional self-report and performance-based outcomes.

Methods: The VPM score was based on the results of 10 videos showing increasing difficulty in performing specific functional tasks. Patients were requested to choose the video that best reflected their own level of function.

View Article and Find Full Text PDF

Groundwater nitrate response to hydrogeological conditions and socioeconomic load in an agriculture dominated area.

Sci Rep

January 2025

School of Water and Environment, Chang'an University, No.126 Yanta Road, Xi'an, 710054, Shaanxi, China.

Nitrate pollution is widespread environmental concern in most shallow groundwater systems. This study conducts a comprehensive investigation of shallow groundwater, deep groundwater, and surface water in a region of the Chinese Loess Plateau. Nitrate pollution in this area is severe with more than half of the shallow groundwater samples exceeding the limit of nitrate for drinking water (50 mg/L).

View Article and Find Full Text PDF

Integrating genomic, hyperspectral imaging (HSI), and environmental data enhances wheat yield predictions, with HSI providing detailed spectral insights for predicting complex grain yield (GY) traits. Incorporating HSI data with single nucleotide polymorphic markers (SNPs) resulted in a substantial improvement in predictive ability compared to the conventional genomic prediction models. Over the course of several years, the prediction ability varied due to diverse weather conditions.

View Article and Find Full Text PDF

Decoding the drivers of variability in chlorophyll-a concentrations in the Pearl River estuary: Intra-annual and inter-annual analyses of environmental influences.

Environ Res

January 2025

School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519082, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, 519082, China.

Temporal variability and associated driving factors of sea surface chlorophyll-a concentration (Chl-a) in coastal waters have been extensively studied worldwide; however, the importance and spatial heterogeneity of these driving factors remain insufficiently documented. This study addressed this gap by investigating the Pearl River Estuary (PRE) from August 2002 to June 2016, using long-term remote sensing-derived data of Chl-a and potential driving factors, including total suspended solids (TSS), precipitation, photosynthetically active radiation (PAR), and sea surface temperature (SST); and in situ measurements of potential driving factors, including river discharge, wind speed, alongshore wind (u), cross-shore wind (v), and tidal range. A pixel-by-pixel correlation analysis was conducted to preliminarily examine the relationships between these potential driving factors and Chl-a.

View Article and Find Full Text PDF

Monitoring and modelling landscape structure, land use intensity and landscape change as drivers of water quality using remote sensing.

Sci Total Environ

January 2025

Department of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research-UFZ, Permoserstr 15, D-04318 Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, D-04103 Leipzig, Germany; Research Data Management-RDM, Helmholtz Centre for Environmental Research GmbH-UFZ, Permoserstraße 15, D-04318 Leipzig, Germany. Electronic address:

The interactions between landscape structure, land use intensity (LUI), climate change, and ecological processes significantly impact hydrological processes, affecting water quality. Monitoring these factors is crucial for understanding their influence on water quality. Remote sensing (RS) provides a continuous, standardized approach to capture landscape structures, LUI, and landscape changes over long-term time series.

View Article and Find Full Text PDF

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!