Socioeconomic Risk Factors Research Articles

#2449 Prevalence and determinants of chronic kidney disease among older community-dwelling adults in Ireland

Abstract Background and Aims Chronic Kidney Disease (CKD) is a major global health challenge with substantial morbidity and mortality. In Ireland, a comprehensive understanding of the determinants of CKD is lacking, with limited data on the combined impact of socioeconomic and traditional risk factors. While the Irish Longitudinal Study on Ageing (TILDA) has offered insights into CKD burden, a detailed examination of its determinants remains unexplored. The goal of this study was to explore the prevalence and determinants of CKD at the community level within the Irish population. Method This is a retrospective cohort study that utilised cross sectional data from the first wave of TILDA conducted between 2009 and 2011. Participants aged 50 years and older who had health assessment and kidney function tests performed were included. The 2012 and 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations were employed to calculate estimated glomerular filtration rates (eGFR) based on cystatin C and creatinine levels. CKD was classified as eGFR < 60 ml/min/1.73 m². We determined the weighted prevalence of CKD using sample weights. Stepwise multivariable logistic regression models were used to identify correlates of CKD and models’ performance were assessed using AUC-ROC curves and the Akaike Information Criterion (AIC). Associations were expressed using adjusted odds ratios (AOR) with 95% confidence intervals (CIs). Results Among the 5 386 participants tested for cystatin C and serum creatinine, the weighted CKD prevalence was 11.3% based on the 2021 CKD-EPI definition (excluding race) and 13.9% using the 2012 definition. Prevalence was significantly higher in women than men, and increased with age, reaching about 45% in women over 71 years versus 29% in men. Burden of comorbid conditions in CKD individuals varied from 11% (for cancer) to 89% (for hypertension) and were significantly higher than non-CKD individuals (P< 0.001). Adjusting for age, sex, education, and employment, the adjusted odds of CKD were significantly higher for individuals with hypertension AOR 2.15 (95% CI: 1.58–2.96), diabetes AOR 2.00 (95% CI: 1.50–2.66), cardiovascular disease AOR 1.72 (95% CI: 1.43–2.21), cancer AOR 1.64 (95% CI: 1.16–2.30), and obesity AOR 2.18 (95% CI: 1.61–2.96). The likelihood of CKD was also higher for patients with a hospital admission in the previous year AOR = 1.50 (95% CI: 1.14–1.96), possession of a medical card AOR 1.41 (95% CI: 1.06–1.89), and unemployed individuals AOR 1.61, (95% CI: 1.06–2.50), while the likelihood was significantly lower for individuals with a tertiary education (versus primary) AOR 0.73 (95% CI: 0.54–0.98). With further adjustment for medications, the magnitude of these associations was greatly attenuated with increasing odds of CKD for those receiving higher medication burden: 2-3 drugs AOR 2.02, (95% CI: 1.29–3.29), 3-4 drugs AOR 2.52 (95% CI: 1. 59–4.11), and > 5 drugs AOR 4.49 (95% CI: 2.81–7.39) (see Fig. 1). The AUC score ranged from 0.84 to 0.88, indicating strong model performance. Conclusion This study brings renewed attention to observed variation in national estimates of CKD prevalence (11.3% vs 13.9%) that are derived from current prediction equations with important implications for the strategic planning and resourcing of CKD care. This study emphasises the impact of socioeconomic factors, such as health coverage and financial barriers to heath care, education attainment, and employment, on CKD beyond traditional risk factors. Furthermore, the attenuation of known risk factors with increasing medication use highlights the influence of these treatments on CKD dynamics. These findings provide valuable insights for targeted public health strategies and awareness programs in Irish communities to address the increasing burden of CKD.

Relationship between Maternal Socioeconomic Factors and Preterm Birth in Latvia.

Background and Objectives: Worldwide, preterm birth (PTB) stands as the primary cause of mortality among children under 5 years old. Socioeconomic factors significantly impact pregnancy outcomes, influencing both maternal well-being and newborn health. Understanding and addressing these socioeconomic factors is essential for developing effective public health interventions and policies aimed at improving pregnancy outcomes. This study aims to analyse the relationship between socioeconomic factors (education level, marital status, place of residence and nationality) and PTB in Latvia, considering mother's health habits, health status, and pregnancy process. Materials and Methods: A cross-sectional study was conducted using data from the Medical Birth Register (MBR) of Latvia about women with singleton pregnancies in 2022 (n = 15,431). Data analysis, involving crosstabs, chi-square tests, and multivariable binary logistic regression, was performed. Adjusted Odds ratios (aOR) with 95% confidence intervals (CI) were estimated. Results: Lower maternal education was statistically significantly associated with increased odds of PTB. Mothers with education levels below secondary education had over two times higher odds of PTB (aOR = 2.07, p < 0.001, CI 1.58-2.70) and those with secondary or vocational secondary education had one and a half times higher odds (aOR = 1.58, p < 0.001, CI 1.33-1.87) after adjusting for other risk factors. Study results also showed the cumulative effect of socioeconomic risk factors on PTB. Additionally, mothers facing two or three socioeconomic risk factors in Latvia exhibited one and a half times higher odds of PTB (aOR = 1.59, p = 0.021). Conclusions: The study highlights the cumulative impact of socioeconomic risk factors on PTB, with higher maternal education demonstrating the highest protective effect against it. This underscores the importance of education in promoting optimal foetal development. Since the influence of socioeconomic factors on PTB is not a widely studied issue in Latvia, further research is needed to improve understanding of this complex topic.

Abstract A008: Racial differences in characteristics and outcomes of adjuvant nivolumab for muscle-invasive urothelial carcinoma (MIUC) in the real-world setting

Abstract Objectives: Historically, African-American/Black patients with bladder cancer have worse clinical outcomes compared with White/Caucasian patients. In the CheckMate 274 trial, nivolumab demonstrated a significant improvement in disease-free survival compared with placebo among patients with MIUC at high risk of recurrence following radical surgery; however, African-American/Black patients were underrepresented (&amp;lt; 1%). The objective of this analysis was to describe the characteristics and outcomes of MIUC patients treated with adjuvant nivolumab across different racial subgroups in a real-world setting. Methods: This US retrospective medical chart review included African-American/Black and White/Caucasian patients with MIUC treated with adjuvant nivolumab following radical resection between 01-Sep-2021 and 10-Sep-2022. Patient characteristics and outcomes were abstracted from the medical charts by treating oncologists. Patient characteristics and landmark survival estimates based on Kaplan-Meier analyses were summarized descriptively. Results: The analysis included 223 patients (African-American/Black: 62; White/Caucasian: 161). A numerically higher proportion of African-American/Black vs White/Caucasian patients, respectively, was male (74.2% vs 66.5%), less than 60 years old (27.4% vs 20.5%), unemployed (16.1% vs 5.6%), and had Medicaid at therapy initiation (14.5% vs 6.2%). Similar proportions in both groups had ECOG performance status 0-1 (82.3% vs 82.6%), received neoadjuvant therapy (58.1% vs 56.5%), and completed adjuvant therapy (67.7% vs 66.5%). The median follow-up time (12.5 months vs 13.1 months) and median duration of adjuvant therapy (11.0 months vs 11.3 months) were comparable. Similar estimates were observed for 12-month overall survival (96.7% vs 91.4%), 12-month disease-free survival (88.3% vs 88.4%), and 12-month distant metastasis-free survival (88.3% vs 88.4%). Conclusions: Despite higher rates of socio-economic risk factors among African-American/Black patients, this real-world study suggests similar effectiveness of adjuvant nivolumab among MIUC patients across African-American/Black and White/Caucasian patient populations. Citation Format: Regina Barragan-Carrillo, Alexander Chehrazi-Raffle, Bruce Feinberg, William S. John, Taavy A. Miller, Sarah Lucht, Prathamesh Pathak, Emily Bland, Sarah Gordon, JaLyna Laney, Andrew J. Klink, Hedyeh Ebrahimi, Nisha Singh, Carmelo Alonso, Miraj Patel, Lisa Rosenblatt, Xin Yin. Racial differences in characteristics and outcomes of adjuvant nivolumab for muscle-invasive urothelial carcinoma (MIUC) in the real-world setting [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr A008.

Adverse Obstetric and Perinatal Outcomes Among Birthing People in Same-Sex and Different-Sex Relationships in Louisiana.

Purpose: We investigated sexual orientation disparities in several obstetric and perinatal outcomes in Louisiana and examined whether these disparities differed among Black, Latine, and White populations. Methods: We analyzed cross-sectional vital records data on singleton live births in Louisiana (2016-2022). Same-sex relationships (SSR) vs. different-sex relationships (DSR) were classified based on the sex of the parents listed on the birth certificate. Using modified Poisson regression, we estimated adjusted risk ratios and 95% confidence intervals among birthing persons in SSR vs. DSR for preterm birth (PTB), low birthweight (LBW), spontaneous labor, Cesarean delivery, gestational hypertension, and gestational diabetes. We examined within and across group disparities in models stratified by sexual orientation and race/ethnicity. Results: In the total birthing population, those in SSR experienced higher risk of gestational hypertension and gestational diabetes and were less likely to have spontaneous labor compared with persons in DSR. The risk of PTB and LBW was two-fold higher among Black birthing people in SSR compared with White birthing people in SSR and DSR. Latine birthing people in SSR experienced higher risk of gestational hypertension and gestational diabetes compared with their peers in DSR and White people in DSR. Some of these disparities were partially explained by including socioeconomic and health risk factors. Conclusion: Sexual orientation-related disparities exist across and within racial/ethnic groups among birthing people in Louisiana. Adopting an intersectional approach that considers the mutually constituted nature of heterosexism and racism is critical to addressing sexual orientation-related inequities in reproductive and perinatal health.

A Bayesian spatio-temporal model of COVID-19 spread in England

Exploring the spatio-temporal variations of COVID-19 transmission and its potential determinants could provide a deeper understanding of the dynamics of disease spread. This study aimed to investigate the spatio-temporal spread of COVID-19 infections in England, and examine its associations with socioeconomic, demographic and environmental risk factors. We obtained weekly reported COVID-19 cases from 7 March 2020 to 26 March 2022 at Middle Layer Super Output Area (MSOA) level in mainland England from publicly available datasets. With these data, we conducted an ecological study to predict the COVID-19 infection risk and identify its associations with socioeconomic, demographic and environmental risk factors using a Bayesian hierarchical spatio-temporal model. The Bayesian model outperformed the ordinary least squares model and geographically weighted regression model in terms of prediction accuracy. The spread of COVID-19 infections over space and time was heterogeneous. Hotspots of infection risk exhibited inconsistent clustering patterns over time. Risk factors found to be positively associated with COVID-19 infection risk were: annual household income [relative risk (RR) = 1.0008, 95% Credible Interval (CI) 1.0005–1.0012], unemployment rate [RR = 1.0027, 95% CI 1.0024–1.0030], population density on the log scale [RR = 1.0146, 95% CI 1.0129–1.0164], percentage of Caribbean population [RR = 1.0022, 95% CI 1.0009–1.0036], percentage of adults aged 45–64 years old [RR = 1.0031, 95% CI 1.0024–1.0039], and particulate matter (PM2.5\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ ext {PM}_{2.5}$$\\end{document}) concentrations [RR = 1.0126, 95% CI 1.0083–1.0167]. The study highlights the importance of considering socioeconomic, demographic, and environmental factors in analysing the spatio-temporal variations of COVID-19 infections in England. The findings could assist policymakers in developing tailored public health interventions at a localised level.

Abstract PO4-09-07: Overall Survival According to Race and Socioeconomic Status Among Women Treated for BreastCancer at Ascension Health Hospitals in Metropolitan Detroit

Abstract Background: Despite increasing public awareness and education regarding racial inequality, African American (AA) patients continue to carry higher likelihood of death from breast cancer due to both cancer phenotype and remediable factors of access to care and socioeconomic status. Patients and Methods: We identified 3,241 patients treated for breast cancer between 2006 and 2015 at Ascension St John Hospital (Detroit MI), Ascension Macomb Oakland Hospital (Warren MI) and Ascension Providence Hospital (Southfield MI). Of these, 2530 (78.1%) were categorized as White (W), 658 (20.3%) as African American (AA), and 53 (1.6%) as Other. We considered known risk factors of race and zip code as well as marital status and having any Medicaid insurance (7.4%). 58.55% of patients were married, 15.88% never married, 13.9% widowed, and 11.6% divorced or separated. There were 632 (19.5%) cases represented from the 50 most affluent zip codes in Michigan (median income $83,125 to $140,372), 400 (12.3%) from the 50 least affluent zip codes (median income $14,909 to $33,500), 2199 (67.8%) from the intermediate zip codes, and 10 (0.31%) unknown or out of state. Tumors subtypes were 62% Luminal A (HR+/HER2-), 9.5% Basal (HR-/HER2-), 3.74% Her2 Enriched (HR-/HER2+), and 8% Triple Positive (HR+/HER2+). There were 279 Stage T0 Receptor positive DCIS and 64 Receptor Negative DCIS. 57.3% had lumpectomy or partial mastectomy as the first course of surgery, 27.9% had some form of mastectomy and 14.7 percent mastectomy with reconstruction. SAS for Windows 9.4, Cary, NC and Tableau 2023.1 was used for descriptive and crude analysis. Results: As expected overall survival was highly statistically associated (p&amp;lt; 0.0001) with the variables: age, race, subtype, node positivity and AJCC pathologic stage. Socioeconomic risk factors including zip code (p&amp;lt; 0.0001), marital status (p=0.0006), and carrying Medicaid insurance (p&amp;lt; 0.0001) statistically influenced overall survival. When considering the 50 most affluent zip codes, just 3.79% were African American (AA), with a greater proportion diagnosed at Stage I (49.85%) as compared to the 50 least affluent zip codes (81.97% AA; 37.74% Stage I, p= 0.022). Conclusions: As expected, breast cancer survival was influenced by race, tumor, and patient characteristics. This analysis allows for evaluation of the relative influence of biologic factors (e.g.tumor subtype and cancer stage) and socioeconomic indicators including zip code (stratified by median income) and insurance status. Citation Format: Shaveena Sivapalan, Khalid Berdi, Ali Shamsa, Maria Vlachaki, Aye Thet, Jeffrey Falk, Carrie Dul, Paul Chuba. Overall Survival According to Race and Socioeconomic Status Among Women Treated for BreastCancer at Ascension Health Hospitals in Metropolitan Detroit [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-09-07.

Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin.

The environmental justice literature demonstrates consistently that low-income and minority communities are disproportionately exposed to environmental hazards. In this case study, we examined cumulative multipollutant, multidomain, and multimatrix environmental exposures in Milwaukee County, Wisconsin for the year 2015. We identified spatial hot spots in Milwaukee County both individually (using local Moran's I) and through clusters (using K-means clustering) across a profile of environmental pollutants that span regulatory domains and matrices of exposure, as well as socioeconomic indicators. The cluster with the highest exposures within the urban area was largely characterized by low socioeconomic status and an overrepresentation of the Non-Hispanic Black population relative to the county as a whole. In this cluster, average pollutant concentrations were equivalent to the 78th percentile in county-level blood lead levels, 67th percentile in county-level NO2, 79th percentile in county-level CO, and 78th percentile in county-level air toxics. Simultaneously, this cluster had an average equivalent to the 62nd percentile in county-level unemployment, 70th percentile in county-level population rate lacking a high school diploma, 73rd percentile in county-level poverty rate, and 28th percentile in county-level median household income. The spatial patterns of pollutant exposure and SES indicators suggested that these disparities were not random but were instead structured by socioeconomic and racial factors. Our case study, which combines environmental pollutant exposures, sociodemographic data, and clustering analysis, provides a roadmap to identify and target overburdened communities for interventions that reduce environmental exposures and consequently improve public health.

MortalityMinder: Visualization and AI Interpretations of Social Determinants of Premature Mortality in the United States

MortalityMinder enables healthcare researchers, providers, payers, and policy makers to gain actionable insights into where and why premature mortality rates due to all causes, cancer, cardiovascular disease, and deaths of despair rose between 2000 and 2017 for adults aged 25–64. MortalityMinder is designed as an open-source web-based visualization tool that enables interactive analysis and exploration of social, economic, and geographic factors associated with mortality at the county level. We provide case studies to illustrate how MortalityMinder finds interesting relationships between health determinants and deaths of despair. We also demonstrate how GPT-4 can help translate statistical results from MortalityMinder into actionable insights to improve population health. When combined with MortalityMinder results, GPT-4 provides hypotheses on why socio-economic risk factors are associated with mortality, how they might be causal, and what actions could be taken related to the risk factors to improve outcomes with supporting citations. We find that GPT-4 provided plausible and insightful answers about the relationship between social determinants and mortality. Our work is a first step towards enabling public health stakeholders to automatically discover and visualize relationships between social determinants of health and mortality based on available data and explain and transform these into meaningful results using artificial intelligence.

Optimal Method for Assessing Right Ventricular to Pulmonary Arterial Coupling in Older Healthy Adults: The Multi-Ethnic Study of Atherosclerosis

Right ventricular (RV) to pulmonary arterial (PA) coupling describes the ability of the RV to augment contractility in response to increased afterload. Several echocardiographic indexes of RV-PA coupling have been defined; however, the optimal numerator in the coupling ratio is unclear. We sought to establish which of these ratios is best for assessing RV-PA coupling based on their relations with 6-minute walk distance (6MWD), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and the Kansas City Cardiomyopathy Questionnaire (KCCQ) in aging adults. In this study of 1,611 Multi-Ethnic Study of Atherosclerosis participants who underwent echocardiography at Exam 6, we evaluated the association between different numerators, including tricuspid annular planar systolic excursion (TAPSE), fractional area change (FAC), RV free wall strain, and tissue Doppler imaging S' velocity to pulmonary artery systolic pressure (PASP) with 6MWD, NT-proBNP, and KCCQ score, adjusted for socioeconomic and cardiovascular disease risk factors. Our cohort had a mean age of 73 ± 8 years, 54% female, 17% Chinese American, 22% African American, 22% Hispanic, and 39% White participants. The mean ( ± SD) TAPSE/PASP, FAC/PASP, tissue Doppler imaging S' velocity/PASP, and RV free wall strain:PASP ratios were 0.7 ± 0.2, 1.3 ± 0.3, 0.5 ± 0.1, and 0.8 ± 0.2, respectively. All RV-PA coupling indices decreased with age (p <0.0001 for all). TAPSE:PASP ratio was lower in older (³85 years) female (0.59 ± 0.14) versus male (0.65 ± 0.17) participants (p = 0.01), whereas FAC/PASP ratio was higher in the same female versus male participants (p <0.01). TAPSE/PASP and FAC/PASP ratios were significantly and strongly associated with all NT-proBNP, 6MWD, and KCCQ scores in fully adjusted and receiver operating characteristic analysis. In older community-dwelling adults free of heart failure and pulmonary hypertension, both FAC/PASP and TAPSE:PASP ratios are optimal for assessment of RV-PA coupling based on its association with 6MWD, NT-proBNP, and KCCQ score. FAC/PASP ratio has the additional benefit of reflecting age and gender-related geometric and functional changes.

Socioeconomic and Other Risk Factors for Retear after Arthroscopic Surgery for Nontraumatic Rotator Cuff Tear.

Background and Objectives: Few studies have investigated the socioeconomic factors associated with retear after rotator cuff repair. This study aimed to identify the risk factors, including socioeconomic factors, for rotator cuff retear in patients who underwent arthroscopic rotator cuff repair. Materials and Methods: This retrospective study included 723 patients diagnosed with full-thickness rotator cuff tears who underwent arthroscopic rotator cuff repair from March 2010 to March 2021. The outcome variable was rotator cuff retear observed on postoperative magnetic resonance imaging or ultrasonography. Sex, age, obesity, diabetes, symptom duration, and tear size were the independent variables. Socioeconomic variables included occupation, educational level, type of medical insurance, and area of residence. We compared patients with and without retear and estimated the effects of the independent factors on retear risk. Results: The mean age of the patients, symptom duration, and tear size were 62.4 ± 8.0 years, 1.8 ± 1.7 years, and 21.8 ± 12.5 mm, respectively. The age, type of medical insurance, diabetes, tear size, and symptom duration differed significantly between patients with and without retearing (p < 0.05). Age, occupation, type of medical insurance, diabetes, initial tear size, and symptom duration significantly affected the risk of retear. Patients who performed manual labor had a significantly higher retear rate (p = 0.005; OR, 1.95; 95% CI, 1.23-3.11). The highest retear risk was seen in patients with Medicaid insurance (p < 0.001; OR, 4.34; 95% CI, 2.09-9.02). Conclusions: Age, initial tear size, and symptom duration significantly affect retear risk after arthroscopic rotator cuff repair. Occupation and type of medical insurance were also risk factors for retear. Socioeconomically vulnerable patients may be at a greater risk of retear. Proactive efforts are required to expand early access to medical care.

Flock level socio-economic and other associated risk factors for Peste des petits ruminants (PPR) exposure in sheep and goats in Madhya Pradesh state, India.

To effectively control and eradicate PPR, the comprehensive understanding of risk factors associated with PPR exposure is vital. Hence, this study investigated socioeconomic and other associated risk determinants for PPR exposure at flock level in sheep and goats in a non-vaccination programme implemented Madhya Pradesh state India. A total of 410 sheep and goat flocks, comprised mostly of goats but also some mixed flocks, were surveyed during 2016 using a multistage random sampling procedure. Further, 230 blood samples were also collected from the farmers-reported PPR affected flocks and sera were tested using c-ELISA to confirm PPR exposure. The primary data on socioeconomic factors, farm management factors, health status, vaccination details and other epidemiological risk factors were collected from flock owners and descriptive statistics, chi-square analysis and logistic regression models were fitted to identify the significant risk factors for PPR incidence. The farmer's education, flock size, rearing pattern, and awareness of PPR vaccination were found to be significant pre-disposing risk factors for PPR exposure in the flocks. Hence, the control and eradication strategy need to be designed comprehensively considering the key social factors like education and vaccination awareness along with other flock level risk factors to eradicate PPR by 2030 in consonance with the global plan.

Global trends and spatial drivers of diabetes mellitus mortality, 1990-2019: a systematic geographical analysis.

Diabetes mellitus is the leading cause of death worldwide, and multiple risk factors associated with diabetes mortality. Employing spatial statistics, we characterized the spatial distribution and patterns of diabetes mortality, and revealed the spatial relationship between diabetes mortality and 11 socioeconomic and environmental risk factors at the country level, from 1990 to 2019. Globally, significantly high rates of diabetes mortality were primarily clustered in countries with limited land areas or located on islands, such as Fiji, Kiribati, Eswatini, and Trinidad and Tobago. Countries with weaker economic independence are more likely to have higher diabetes mortality rates. In addition, the impact of socioeconomic and environmental factors was significant at the country level, involving health expenditure, number of physicians, household and ambient air pollution, smoking, and alcohol consumption. Notably, the spatial relationship between diabetes mortality and ambient air pollution, as well as alcohol consumption, showed negative correlations. Countries with high diabetes mortality rates generally had lower levels of ambient air pollution and alcohol consumption. The study highlights the spatial clustering of diabetes mortality and its substantial variation. While many risk factors can influence diabetes mortality, it's also essential to consider the level of these factors at the country level. Tailoring appropriate interventions based on specific national circumstances holds the potential to more effectively mitigate the burden of diabetes mortality.

Environmental and socio-demographic factors associated with cutaneous leishmaniasis in district Khyber, Pakistan; alarming spread of the disease to new foci

Cutaneous leishmaniasis (CL) is a sand fly-borne infection of significant public health concern in Pakistan (endemic for CL). This study aimed to scrutinize the environmental and socio-economic risk factors for CL in district Khyber (located on Pak-Afghan border), Pakistan. Clinically confirmed 2881 CL case records for (January–December) 2017 and 2020 were obtained from district hospital. In addition, a questionnaire for CL risk factors assessment was administered to 525 households (175 in 2017 and 350 in 2020) in 40 villages throughout the district in a household survey. Higher number of CL cases were recorded in 2020 (N = 1824 belonging to 90 villages) compared to 2017 (N = 1057 from 42 villages). Highest number of CL patient cases were recorded in tehsil Jamrud (N = 2248, 39.01 %), followed by Landi Kotal (N = 398, 6.91 %) and Bara (N = 235, 4.08 %). Records showed higher number of CL cases in males (N = 1,659, 57.58 %) compared to females (N = 1,222, 42.41 %). In 2017 and 2020 the disease burden peaked in January. GIS-based spatial analyses of hospital records revealed that CL cases were abundant at 294-1,916 m elevation, in agriculture and range lands. Univariate logistic regression model analysis of risk factors suggested that higher education, family size >15, knowledge of CL, having family member/s that suffered from CL in the past, knowledge about biting time of sand flies, use of mosquito spray, presence of Afghan refugees in the village/s and living in mud-made houses increased the risk of acquiring CL. The multivariable logistic regression model showed none of the risk factors to be statistically significant. Findings of the study are crucial towards effective and targeted control of CL in district Khyber.

The Effect of Education Using Booklet Media on Knowledge of Fall Prevention in the Elderly

A fall is an event that causes a person to suddenly lie down accidentally on the ground or floor or lower level. This condition is often experienced by 1 in 3 elderly people every year. Falls can be caused by behavioral, biological, environmental and socio-economic risk factors. Nurses can make efforts to reduce the risk of falls in the elderly through education for the elderly and their families. This study aims to determine the extent of the influence of fall prevention education for the elderly using booklets on the knowledge of the elderly in the family context. This study used a quasi-experiment, two group pretest posttest, education was carried out using a fall prevention booklet for the elderly in the intervention group and without a booklet in the control group. Through the purposive sampling method using inclusion criteria, 60 respondents were obtained, consisting of 30 respondents in the intervention group and 30 respondents in the control group, with 6 interactions carried out. The results of research using the independent sample t test showed that there was a difference in the average posttest value of fall prevention knowledge between the group that received education using booklets and the group that received education without using booklets with a p-value of 0.000. The conclusion of the research is that educational interventions in nursing practice using booklet media in preventing falls in the elderly can increase client and family understanding compared to without using booklet media. The suggestion is to create an attractive media booklet containing concise information and attractive images to obtain optimal client understanding.

Applications and Best Practices for Geospatial Analysis Research in Dermatology

Dermatologic diseases often exhibit distinct geographic patterns, underscoring the significant role of regional environmental, genetic, and sociocultural factors in driving their prevalence and manifestations. Geographic information and geospatial analysis enable researchers to investigate the spatial distribution of adverse health outcomes and their relationship with socioeconomic and environmental risk factors that are inherently geographic. Health geographers and spatial epidemiologists have developed numerous geospatial analytical tools to collect, process, visualize, and analyze geographic data. These tools help provide vital spatial context to the comprehension of the underlying dynamics behind health outcomes. By identifying areas with high rates of dermatologic disease and areas with barriers to access to quality dermatologic care, findings from studies utilizing geospatial analysis can inform the design and targeting of policy and intervention to help improve dermatologic healthcare outcomes and promote health equity. This article emphasizes the significance of geospatial data and analysis in dermatology research. We explore the common processes in data acquisition, harmonization, and geospatial analytics while conducting spatially and dermatologically relevant research. The article also highlights the practical application of geospatial analysis through instances drawn from the dermatology literature.

Relationship between Socioeconomic Risk Factors, Psychological Inflexibility, and Depression among Individuals Living in Rural Areas

Introduction: A high prevalence of depression in rural areas has led to increases in suicidality. Our study aim is to investigate the role of psychological inflexibility as a mediator in the relationship between socioeconomic risk factors and depression in a rural population in Borneo. Methods: 115 participants were enlisted in this cross-sectional study that utilized convenience sampling of all participants in a community healthcare program. Three questionnaires were used: the sociodemographic risk factor questionnaire, the PHQ-9 questionnaire to measure depression, and the AAQ-II questionnaire to measure psychological inflexibility. The sociodemographic data was analyzed and described using descriptive statistics using IBM SPSS version 28.0. The statistical analysis of the mediating model was carried out using PLS-SEM and SmartPLS 4.0 (Henseler et al., 2016). An indirect effects analysis was performed on the structural model to explain the mediating effect of psychological inflexibility between socioeconomic factors and depression. Results: The analysis showed that psychological inflexibility acts as a mediator in the relationship between both being married and native, and depression. Other socioeconomic risk factors such as gender, employment, and education level did not mediate between psychological inflexibility and depression. Conclusion: Marriage and native ethnicity are identified as a buffer and protective factor from psychological inflexibility and depression. Future research should focus on establishing a clearer picture of how marital status and native ethnicity of Sabah affects psychological flexibility and mental health.

Prevalence and determinants of gestational diabetes mellitus among pregnant women in India: an analysis of National Family Health Survey Data

BackgroundGestational diabetes mellitus (GDM) is a type of diabetes with its first recognition during pregnancy. GDM is a high-risk maternal and neonatal condition which increases the risk of Type 2 diabetes in mothers and their infants. It is essential to detect and treat GDM since its inception when mothers suffer from Type 1 diabetes while carrying the foetus during the gestational period.MethodsThe study analysed individual data from the National Family Health Survey (NFHS) surveyed in 2015–2016 (4th round) and 2019–2021 (5th round) covering a total of approximately 6 lakhs and 7 lakhs women, respectively. Among them, 32,072 women in 2015–2016 and 28,187 in 2019–2021 were pregnant, of whom 180 women in 2014–2015 and 247 women in 2019–2021 had diabetes during their gestational periods, allowing the percentage prevalence calculation of GDM. The analysis of Poisson regression estimates examined the socioeconomic and demographic risk factors for GDM among pregnant women.ResultsThe overall prevalence of GDM in women showed an increase from 0.53% in 2015–16 to 0.80% in 2019–20 at the national level, and a similar increase in many states of India was witnessed, with a few exceptions. The GDM prevalence has shown a gradient over age, with a low prevalence in 15–19- and 25–29-year-olds and the highest prevalence in 40–44-year-olds. Concerning the rural and urban divide, its prevalence in both urban and rural areas has increased from 0.61 to 0.85% and 0.51 to 0.78% between 2015 and 16 and 2019–21. The results of the Poisson regression analysis reveal that older adults with high Body Mass Index (BMI), thyroid disorder, and heart disease have a greater risk of GDM among pregnant women in India. The states of Kerala, Meghalaya, and Goa show a high prevalence of GDM.ConclusionThe low prevalence of GDM may not be clinically significant but has negative repercussions on the mother and her child cannot be overlooked. Thus, it is essential to curb GDM since its inception and save a generation ahead from the risk of diabetes and other diseases.

Socioeconomic Disparities in Anal Cancer: Effect on Treatment Delay and Survival.

Socioeconomic inequities have implications for access to health care and may be associated with disparities in treatment and survival. To investigate the impact of socioeconomic inequities on time to treatment and survival of anal squamous-cell carcinoma. This is a retrospective study using a nationwide data set. The patients were selected from the National Cancer Database and enrolled from 2004 to 2016. We identified patients with stage I to III squamous-cell carcinoma of the anus who were treated with chemoradiation therapy. Socioeconomic factors, including race, insurance status, median household income, and percentage of the population with no high school degrees, were included. The association of these factors with treatment delay and overall survival was investigated. A total of 24,143 patients who underwent treatment for grade I to III squamous-cell carcinoma of the anus were identified. The median age was 60 years, and 70% of patients were women. The median time to initiation of treatment was 33 days. Patients from zip codes with lower median income, patients with a higher percentage of no high school degree, and patients with other government insurance followed by Medicaid insurance had treatment initiated after 60 days from diagnosis. Kaplan-Meier survival analysis showed that the late-treatment group had worse overall survival compared to the early treatment group (98 vs 125 months; p < 0.001). No detailed information is available about the chemoradiotherapy regimen, completion of treatment, recurrence, disease-free survival, and individual-level socioeconomic condition and risk factors. Patients from communities with lower median income, level of education, and enrolled in public insurance had longer time to treatment. Lower socioeconomic status was also associated with poorer overall survival. These results warrant further analysis and measures to improve access to care to address this disparity. See Video Abstract . ANTECEDENTES:Las desigualdades socio-económicas tienen implicaciones en el acceso a la atención médica y pueden estar asociadas con disparidades en el tratamiento y la sobrevida.OBJETIVO:Indagar el impacto de las desigualdades socio-económicas sobre el tiempo de retraso en el tratamiento y la sobrevida en casos de carcinoma a células escamosas del ano (CCEA).DISEÑO:Estudio retrospectivo utilizando un conjunto de datos a nivel nacional.AJUSTES:Todos aquellos pacientes inscritos entre 2004 a 2016 y que fueron seleccionados de la Base Nacional de Datos sobre el Cáncer.PACIENTES:Identificamos pacientes con CCEA en estadíos I-III y que fueron tratados con radio-quimioterápia.PRINCIPALES MEDIDAS DE RESULTADOS:Se incluyeron factores socio-económicos tales como la raza, el tipo de seguro de salud, el ingreso familiar medio y el porcentaje de personas sin bachillerato de secundaria (SBS). Se investigó la asociación entre estos factores con el retraso en iniciar el tratamiento y la sobrevida global.RESULTADOS:Se identificaron un total de 24.143 pacientes que recibieron tratamiento para CCEA estadíos I-III. La mediana de edad fue de 60 años donde 70% eran de sexo femenino. La mediana del tiempo transcurrido desde el diagnóstico hasta el inicio del tratamiento fue de 33 días. Los pacientes residentes en zonas de código postal con ingresos medios más bajos, con un mayor porcentaje de individuos SBS y los pacientes con otro tipo de seguro gubernamental de salud, seguidos del seguro tipo Medicaid iniciaron el tratamiento solamente después de 60 días al diagnóstico inicial de CCEA. El análisis de Kaplan-Meier de la sobrevida mostró que el grupo de tratamiento tardío tuvo una peor supervivencia general comparada con el grupo de tratamiento precoz o temprano (98 frente a 125 meses; p <0,001).LIMITACIONES:No se dispone de información detallada sobre el tipo de radio-quimioterapia utilizada, ni sobre la finalización del tratamiento o la recurrencia, tampoco acerca de la sobrevida libre de enfermedad ni sobre las condiciones socio-económicas o aquellos factores de riesgo a nivel individual.CONCLUSIÓN:Los pacientes de comunidades con ingresos medios más bajos, con un nivel de educación limitado e inscritos en un seguro público tardaron mucho más tiempo en recibir el tratamiento prescrito. El nivel socio-económico más bajo también se asoció con una sobrevida global más baja. Los presentes resultados justifican mayor análisis y medidas mas importantes para mejorar el acceso a la atención en salud y poder afrontar esta disparidad. (Traducción-Dr. Xavier Delgadillo ).

Barriers to healthcare utilization among married women in Afghanistan: the role of asset ownership and women’s autonomy

Women face multiple socio-economic, cultural, contextual, and perceived barriers in health service utilization. Moreover, poor autonomy and financial constraints act as crucial factors to their healthcare accessibility. Therefore, the objective of the present study is to study the association between health care utilization barriers and women empowerment, including asset ownership among currently married women in Afghanistan. Data of 28,661 currently married women from Afghanistan demographic health survey (2015) was used to carry out this study. Barriers to access healthcare were computed based on problems related to permission, money, distance, and companionship, whereas women empowerment and asset ownership were computed as potential covariates along with other socio-economic risk factors. Bivariate and logistic analysis was carried out to study the association and odds of explanatory variables. Our results confirm the significant and strong association between the barriers to access healthcare and various explanatory variables. Women having any decision-making autonomy are less likely to face any odds [(AOR = 0.56, p < 0.001), CI: 0.51–0.61] among the currently married women than those who don’t have any decision-making authority. Similarly, women who justify their beating for some specific reasons face the greater difficulty of accessing health care [(AOR = 1.76, p < 0.001), CI: 1.61–1.93]. In terms of asset ownership, women having any asset ownership (land or household) are less likely to face any barriers in health services utilization given the lower odds [(AOR = 0.91, p < 0.001), CI: 0.90–0.98]. Accessing maternal health is a crucial policy challenge in Afghanistan. A substantial proportion of women face barriers related to approval, money, distance, and companionship while accessing the health services utilization in Afghanistan. Similarly, women empowerment and asset ownership are significantly associated with health service accessibility. This paper therefore suggests for some policy interventions to strengthen the healthcare needs of women and ensure healthcare accessibility by scaling down these potential barriers like poor autonomy, asset ownership and domestic violence.

Risk factors and provider awareness of sexually transmitted enteric pathogens among men who have sex with men.

Our work adds several key findings to the growing body of literature describing the epidemiology of enteric pathogens as sexually transmitted infections among men who have sex with men (MSM). We analyzed clinical test results, housing status, provider awareness, sexual behaviors, and symptoms for 361 patients. We found that any sexual activity was associated with an increased risk of diarrheal pathogen detection, whereas being unhoused was not a risk factor. These findings suggest separate transmission networks between unhoused persons, who are also at risk of infectious diarrhea, and MSM. Moreover, our study suggested low awareness among patient-facing clinicians that diarrheal pathogens can be sexually transmitted. Together, our findings indicate an important opportunity to disrupt transmission cycles by educating clinicians on how to assess and counsel MSM patients.