Background: Burns can cause long-term complications including pain and poor physical function. While neighborhood disadvantage is associated with burn severity, its effect on long-term complications has not been investigated. We hypothesized that patients from areas of higher area of deprivation index (ADI) will report poorer long-term outcomes.
Methods: We linked patient data from the Burn Model System with ADI state decile (1 = least, 10 = most disadvantaged) using year and residence at time of injury. We performed bivariate analyses to identify associations between ADI and patient and burn characteristics and multivariate regressions to determine whether ADI was associated with PROMIS-29 pain and physical function 6- and 24-months post-burn.
Results: We included 780 patients; 69 % male, median age = 46 years, median ADI = 6, and median TBSA = 8 %. Multivariate regressions adjusting for TBSA, race, age, sex, anxiety, depression, and pain interference demonstrated that higher ADI was a significant predictor of higher pain intensity 6- (p = 0.001) and 24-months (p = 0.037) post-burn but not worse physical function 24-months post-burn (p = 0.089).
Conclusions: Higher neighborhood disadvantage was associated with higher long-term pain intensity post-burn. This study highlights the importance of socioeconomic factors that may impact long-term outcomes and the use of aggregate markers to identify patients at risk for worse outcomes.
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http://dx.doi.org/10.1016/j.burns.2024.06.013 | DOI Listing |
Sensors (Basel)
December 2024
School of Mechanical Electrical and Information Engineering, Shandong University, Weihai 264209, China.
Feature selection (FS) is a key process in many pattern-recognition tasks, which reduces dimensionality by eliminating redundant or irrelevant features. However, for complex high-dimensional issues, traditional FS methods cannot find the ideal feature combination. To overcome this disadvantage, this paper presents a multispiral whale optimization algorithm (MSWOA) for feature selection.
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
Department of Social Welfare, Kyungnam University, Changwon 51767, Republic of Korea.
Neighborhood contexts, such as structures and social processes, have been explored to understand the etiology of child maltreatment, through the application of an ecological framework in child maltreatment research. While two comprehensive reviews on the relationship between neighborhood structural characteristics and child maltreatment were conducted in the 2000s, no prior study has synthesized the impacts of neighborhood social processes on child maltreatment. This study critically reviews extant literature on the role of neighborhood social processes in child maltreatment by employing the scoping review method, in accordance with the PRISMA-ScR reporting guidelines.
View Article and Find Full Text PDFBackground: Neighborhood physical disorder has been linked to adverse health outcomes, yet longitudinal assessments of its relationship with metabolic and inflammatory biomarkers in older adults remain limited. This study examined the association between patterns of neighborhood physical disorder exposure and biomarkers among older adults.
Methods: We included community-dwelling Medicare beneficiaries with 2017 biomarker data from the National Health and Aging Trends Study (n = 4,558).
Hepatol Commun
November 2024
Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Background: Texas has the highest HCC rates in the United States, and the greatest burden is among Hispanics. Racial and ethnic disparities in HCC incidence have multiple underpinning factors. We conducted a mediation analysis to examine the role of neighborhood disadvantage (Area Deprivation Index) as a potential mediator of the association between neighborhood race and ethnicity distribution and neighborhood HCC case counts in Texas.
View Article and Find Full Text PDFSSM Popul Health
March 2025
Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
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