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        <title>Experimental Biology and Medicine | Population Health section | New and Recent Articles</title>
        <link>https://www.ebm-journal.org/journals/experimental-biology-and-medicine/sections/population-health</link>
        <description>RSS Feed for Population Health section in the Experimental Biology and Medicine journal | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-04-23T19:32:12.742+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10815</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10815</link>
        <title><![CDATA[Inflammatory indicators derived from complete blood counts in relation to osteoarthritis prevalence: findings from the NHANES 2007–2020 cross-sectional survey]]></title>
        <pubdate>2026-01-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Zimo Ye</author><author>Tianran Zhao</author><author>Xinlin Huang</author><author>Yingxue Song</author><author>Luyi Cheng</author><author>Yunyi Liu</author><author>Mingde Qiu</author><author>Ruke Long</author><author>Weihao Chen</author><author>Yu Wang</author><author>Hao Xie</author><author>Lei Fan</author><author>Xiaolong Hu</author>
        <description><![CDATA[Although multiple studies have confirmed the importance of chronic low-grade inflammation in the development of osteoarthritis (OA), the association between complete blood count (CBC)-derived inflammatory indicators and osteoarthritis prevalence remains unclear. The present study aims to explore the association between CBC-derived inflammatory indicators and OA prevalence. We used NHANES data from 2007 to 2020 for a cross-sectional analysis. Multivariate logistic regression models were used to evaluate the association between CBC-derived inflammatory indicators and OA prevalence. Restricted cubic spline function (RCS) and threshold analysis were used to assess potential nonlinear associations. In addition, subgroup and sensitivity analyses were performed to assess the stability of the results. Finally, we used LASSO regression to identify the variables most associated with OA outcomes to construct a prediction model, and the model’s validity was verified. Among the 24,112 patients in this study, 3,195 were diagnosed with OA. In the adjusted model, multivariate logistic regression analysis showed that 5 inflammatory indicators (SII, SIRI, MLR, NMLR, NLR) were positively associated with OA prevalence. RCS and threshold analysis showed nonlinear associations between (SII, NMLR, NLR) and OA prevalence. After variable screening, we established an OA risk prediction model with an area under the curve (AUC) of 0.735 (95% CI: 0.726–0.744). Both the decision and calibration curve showed that the model had good clinical significance. The Present study suggests that CBC-derived inflammatory indicators are statistically associated with OA prevalence. Furthermore, MLR and NMLR could be valuable predictors of OA and offer novel perspectives on its assessment and treatment.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10824</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10824</link>
        <title><![CDATA[Diet–lifestyle oxidative balance in relation to cardiometabolic multimorbidity: findings from the national health and nutrition examination survey]]></title>
        <pubdate>2025-12-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Wenrui Shi</author><author>Yu Zhao</author><author>Jieun Park</author><author>Wan Chen</author>
        <description><![CDATA[Oxidative stress is a critical factor in the development of cardiometabolic diseases. The Oxidative Balance Score (OBS), integrating dietary and lifestyle factors, has been proposed as a measure of the balance between pro-oxidants and antioxidants. This study aims to explore the relationship between OBS and prevalent cardiometabolic multimorbidity (CMM), and to evaluate whether adding OBS into clinical practice is associated with better CMM identification in the general population. A total of 26,191 participants were selected from the National Health and Nutrition Examination Survey. CMM was defined as having a history of two or more conditions: diabetes mellitus, stroke, or coronary heart disease. The prevalence of CMM was 2.95%. After adjusting for demographic, anthropometric, laboratory, and medical history data, each standard deviation increase in OBS was associated with a 26.1% reduction in the risk of prevalent CMM. Participants in the highest quartile of OBS had a 0.530-fold risk of prevalent CMM compared to those in the lowest quartile. Smooth curve fitting indicated a proportional reduction in CMM risk with increasing OBS. Sensitivity analysis confirmed significant associations between both dietary and lifestyle OBS with prevalent CMM. ROC analysis revealed that incorporating OBS into conventional cardiometabolic risk factors was associated with a slight improvement in CMM identification (AUC: 0.912 vs. 0.916, P = 0.001). Reclassification analysis further indicated the incremental value of OBS. This study revealed a negative, linear, and robust association between OBS and prevalent CMM in the general population. However, reverse causation cannot be ruled out. Future studies should use longitudinal or Mendelian randomization approaches to establish causality.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10710</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10710</link>
        <title><![CDATA[A case study of long-term disease burden in a rural community near an open burn facility]]></title>
        <pubdate>2025-09-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Arundhati Bakshi</author><author>Liana Baconguis</author><author>Md Abdullah Al-Mamun</author><author>Qingzhao Yu</author><author>Jennifer Richmond-Bryant</author><author>Stephania A. Cormier</author>
        <description><![CDATA[Open burning and open detonation (OB/OD) of explosive and hazardous wastes creates various toxic waste products, including particulate matter, that is released into the atmosphere and capable of generating significant health impacts upon exposure. The last commercially run OB/OD thermal treatment facility in operation in the United States is located near the rural community of Colfax in central Louisiana. To evaluate the community’s concerns about the potential health impacts from air pollution due to the facility’s regular open burning of explosive and hazardous wastes, we examined the disease burden in Colfax compared to the surrounding parish and state. In a cross-sectional study, we analyzed hospitalizations and mortality (2000–2018) where a primary or secondary disease code was associated with cardiovascular, respiratory, thyroid and skin disease. After adjusting for age, sex and race, morbidity and mortality due to cardiovascular and respiratory diseases were significantly higher in Colfax compared to the surrounding areas. In addition, comparing age-adjusted rates across geographies, stratified by race and sex, revealed place-based differences within sub-populations. The higher estimated prevalence of disease conditions is consistent with long-term particulate matter exposure and suggests a need for comprehensive exposure studies within the community. Our data further stress the need for enhanced epidemiological studies and tailored statistical methods to address exposures and environmental health impacts in rural populations, with fewer than 2,500 individuals, like Colfax.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10704</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10704</link>
        <title><![CDATA[Association between systemic immune-inflammation index and 10-year risk of cardiovascular disease in the United States (NHANES 1999–2018)]]></title>
        <pubdate>2025-08-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yapan Yang</author><author>Runqi Tu</author><author>Lijie Zhu</author><author>Guian Xu</author><author>Tingjie Yang</author><author>Qingman Li</author><author>Che Wang</author><author>Honghui Yang</author>
        <description><![CDATA[The relationship between the systemic immune-inflammation index (SII) and the risk of developing cardiovascular disease (CVD) over the next 10 years in the United States is largely unknown. The aim of this study is to assess the association between SII and 10-year CVD risk. This population-based cross-sectional study included 9901 participants aged between 30 and 74 from the National Health and Nutrition Examination Survey (NHANES) 1999–2018. The 10-year CVD risk was calculated using the Framingham cardiovascular risk score (FRS). The Pearson test, generalized linear model (GLM) and restricted cubic splines (RCS) were used to analyze the associations between SII and the FRS. Based on the total population, the Pearson test and GLM revealed that there were positive relationships between Ln-transformed SII (Ln (SII)) and the FRS. After adjusting for confounding factors, the odds ratio (OR) for the FRS was 1.52 (95% confidence interval [CI]: 1.12–2.06) per unit increment in Ln (SII) (P = 0.009). Compared to the lowest quartile (Q1) of Ln (SII), the OR for the FRS in the highest quartile (Q4) was 1.89 (95% CI: 1.20–2.98; P = 0.007). RCS revealed that there was a linear association between Ln (SII) and the FRS (P for non-linearity = 0.972). As Ln (SII) increased, the value of FRS rose gradually (P for overall trend <0.001). However, the relationship between Ln (SII) and FRS showed ethnic heterogeneity. In conclusion, SII exhibits significant associations with 10-year CVD risk as assessed by the FRS. However, this association varies across ethnic groups, necessitating cautious application and further validation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10655</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10655</link>
        <title><![CDATA[Proximity to a hazardous waste thermal treatment facility alters human physiology: a community-driven pilot study]]></title>
        <pubdate>2025-08-15T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Avinash Kumar</author><author>Chuqi Guo</author><author>Qudus Sarumi</author><author>Christopher Courtney</author><author>Shawn Campagna</author><author>Jennifer Richmond-Bryant</author><author>Stephania A. Cormier</author>
        <description><![CDATA[Open burn/open detonation (OB/OD) disposes of explosive waste via uncontrolled combustion, releasing harmful pollutants like toxic gases and particulate matter. Colfax, Louisiana, houses the nation’s only commercially OB/OD thermal treatment (TT) facility, raising concerns about environmental and public health impacts due to its emissions. In this exploratory pilot study, we investigated metabolic alterations indicative of potential health impacts from exposure to emissions from a TT facility through an untargeted metabolomics analysis of urine samples obtained from local residents. Urine samples were collected from 51 residents living within a 30-km radius of the facility, with proximity, race, and sex as key variables. Samples were analyzed using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) to identify metabolic alterations and potential biomarkers of exposure. A total of 217 metabolites were identified, with significant differences in abundance based on proximity to the facility. Key metabolic pathways affected included energy metabolism, amino acid metabolism, and oxidative stress-related pathways. Metabolites associated with oxidative stress, such as glutathione sulfonamide (GSA), were elevated in individuals residing closer to the facility, indicating increased oxidative stress. Alterations in the glutathione/glutathione disulfide (GSH/GSSG) ratio further highlighted redox imbalances. Pathway enrichment analyses revealed perturbations in glycolysis, citric acid cycle, sulfur metabolism, and nucleotide metabolism, which are linked to critical biological functions like energy production and DNA repair. Notable differences in metabolite profiles were also observed between sexes and racial groups, pointing to the interplay of intrinsic biological and environmental factors. These findings demonstrate that exposure to emissions from the TT facility may have significant impacts on human health, including disruptions in cellular metabolism and increased oxidative stress. Further research is crucial to understand the long-term health implications of these metabolic alterations and to develop strategies to mitigate the environmental and health risks associated with this facility.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10585</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10585</link>
        <title><![CDATA[Diagnostic accuracy of PfHRP2-based malaria rapid diagnostic tests and antigenemia persistence in Kenyan children from a holoendemic region: implications for case management and surveillance]]></title>
        <pubdate>2025-05-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Sharley A. Wasena</author><author>Clinton O. Onyango</author><author>Shamim W. Osata</author><author>Samuel B. Anyona</author><author>Evans Raballah</author><author>Ivy Hurwitz</author><author>Philip D. Seidenberg</author><author>Collins Ouma</author><author>Qiuying Cheng</author><author>Kristan A. Schneider</author><author>Douglas J. Perkins</author>
        <description><![CDATA[Malaria remains a significant cause of childhood morbidity and mortality, with Plasmodium falciparum Histidine-Rich Protein 2 (PfHRP2)-based malaria rapid diagnostic tests (mRDTs) widely used in endemic regions where microscopy is sometimes not feasible. While these tests offer high sensitivity, persistent PfHRP2 antigenemia and gene deletions can cause false-positive and false-negative results, compromising their accuracy for malaria case management and surveillance. This study evaluated the diagnostic performance and antigen persistence of PfHRP2-mRDTs using data from a longitudinal birth cohort of 750 children followed monthly from birth to 36 months in a holoendemic region of Kenya. Malaria diagnosis was performed using both microscopy and mRDTs, with a total of 15,006 clinical events recorded from 573 children between 2017 and 2023. Data from an independent acute febrile cohort of 937 children (<5 years) followed for 14 days was analyzed to validate the findings. The mRDT showed a high sensitivity of 97.27% but a moderate specificity of 65.00% in acute febrile illness, indicating frequent false-positive results. The positive predictive value was low (35.10%), suggesting that confirmatory testing is needed, while the negative predictive value was high (98.89%), reinforcing the reliability of mRDTs in ruling out malaria. Persistent PfHRP2 antigenemia was observed, with a median antigen clearance time of 51.14 days, respectively. Higher initial parasite densities (>50,000/μL) were associated with a slower antigen decay rate (p = 0.001), highlighting the challenge of interpreting positive mRDT results after treatment. Validation using the acute febrile cohort showed that mRDT specificity exceeded 95% at initial diagnosis and follow-up. Overall, PfHRP2-based mRDTs remain valuable for frontline malaria diagnosis but are limited by antigen persistence, leading to false positives in follow-up testing. Where feasible, integration of confirmatory diagnostic methods, such as microscopy or molecular assays, could improve the performance of malaria case management and clinical decision making, particularly in high-transmission settings.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10349</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10349</link>
        <title><![CDATA[Research on the online service mechanism of internet hospital in infectious disease prevention and control]]></title>
        <pubdate>2025-04-25T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xin Zhao</author><author>Haitao Huang</author><author>Guojun Zeng</author><author>Qingke Shi</author><author>Peijia Zhu</author><author>Longhao Zhang</author><author>Lei Li</author><author>Lunxu Liu</author><author>Nan Huang</author><author>Wenguang Liu</author><author>Kexin Yu</author>
        <description><![CDATA[Infectious diseases can sometimes lead to pandemics, often transmitted through public and social gatherings, including in-person hospital visits. Consequently, there is an urgent need for innovative approaches to prevent their spread. Taking COVID-19 as an example, we have explored a remote, contactless hospital online model that offers the public online medical consultations, professional psychological counseling, and chronic disease management consultations, thereby mitigating the risk of new transmissions resulting from hospital visits. This model was implemented, validated, and practiced at West China Hospital in China from 29 January 2020, to 12 March 2020. It was also applicable to other infectious diseases, such as influenza A. In this research, we utilized the hospital’s internet platform, supplemented by telephone services, to offer the following to the public: 1) General medical education and consultation related to epidemics and psychological anxiety; 2) Online screening for at-risk populations; 3) Online prescription and medication delivery services for patients with chronic diseases. Consequently, over a period of more than 1 month, the online epidemic platform completed a total of 32,755 cases, including 8,783 internet consultations and 1,082 telephone consultations for the public, as well as 22,890 internet consultations for chronic disease patients. Among these, 289 high-risk individuals were identified, with 3 cases confirmed as COVID-19 during follow-up diagnoses, while no infections were detected in the remaining individuals. In conclusion, this innovative medical model serves as a significant supplement to existing healthcare systems and has the potential to be expanded to other hospitals and other infectious diseases. It is particularly beneficial in scenarios where medical resources are limited, populations are under quarantine, and there is a large demand for medical services and anxiety management during infectious disease pandemics.]]></description>
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