Social determinants of mental health in asthma: an exploratory study by Sarah A. Hiles, Sarah A. Hiles, Hayley Lewthwaite, Hayley Lewthwaite, Vanessa L. Clark, Vanessa L. Clark, Anne E. Vertigan, Anne E. Vertigan, Anne E. Vertigan, Amber Smith, Amber Smith, Vanessa M. McDonald, Vanessa M. McDonald, Vanessa M. McDonald

“…As part of a multidimensional assessment, participants self-reported age, sex, ethnicity, country of birth, living arrangements, employment, and postcode. …”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…Broadcasting in discussions that often occur on social media, often users of social media consciously or unconsciously have created content that contains issues of ethnicity, religion, race (nationality) and intergroup (SARA). …”
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High prevalence of overweight/obesity and central obesity among women in a rural district of Nepal in 2012–2013: a population-based study by Chandra Yogal, Chandra Yogal, Astrid Kamilla Stunes, Astrid Kamilla Stunes, Sunila Shakya, Biraj Karmarcharya, Rajendra Koju, Mats P. Mosti, Mats P. Mosti, Miriam K. Gustafsson, Miriam K. Gustafsson, Bjørn Olav Åsvold, Bjørn Olav Åsvold, Berit Schei, Unni Syversen, Unni Syversen

“…The majority belonged to the Adhivasi/Janajati ethnicity, were uneducated and worked in agriculture. …”
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Recruitment of Young Gay, Bisexual, and Other Men Who Have Sex With Men for a Web-Based Human Papillomavirus Vaccination Intervention: Differences in Participant Characteristics an... by Daniel J Marshall, Amy L Gower, Mira L Katz, José A Bauermeister, Abigail B Shoben, Paul L Reiter

“…ResultsMost demographic and health-related characteristics differed by web-based recruitment source, including race or ethnicity (P<.001), relationship status (P<.001), education level (P<.001), employment status (P<.001), sexual self-identity (P<.001), health insurance status (P<.001), disclosure of sexual orientation (P=.048), and connectedness to the LGBTQ (lesbian, gay, bisexual, transgender, queer) community (P<.001) The type of device used by participants during study enrollment also differed across groups, with smartphone use higher among participants recruited via dating apps (n=660, 96.6%) compared to those recruited via social media (n=318, 78.9%) or other digital sources (n=85, 60.3%; P<.001). …”
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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

“…Stepwise Logistic regression identified age, gender, BMI, ethnicity, education level, income level, being informed of hypertension, being informed of prehypertension, being informed of pregnancy-induced hypertension, current use of antihypertensive medication, being informed of hyperlipidemia, being informed of diabetes, smoking status, alcohol consumption within the last 30 days, heavy drinking status, and self-assessed health as factors influencing CHD. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…Furthermore, the microbiome can serve as a biomarker for geographic origin inference, which has immense application value in forensic science.IMPORTANCEMicrobial communities in human hosts play a significant role in health and disease, varying in species, quantity, and composition due to factors such as gender, ethnicity, health status, lifestyle, and living environment. …”
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Prevalence and Related Risk Factors of Intestinal Parasitosis among Private School-Going Pupils of Dharan Submetropolitan City, Nepal by Bijay Kumar Shrestha, Manita Tumbahangphe, Jenish Shakya, Anu Rai, Kabita Dhakal, Bidhya Dhungana, Romika Shrestha, Jyoti Limbu, Kabiraj Khadka, Santoshi Ghimire, Sujata Chauhan, Lata Chalise, Ashu Ghimire

“…However, the prevalence of parasitic infection was strongly associated with the ethnicity of the pupils (P=0.001). The strong associated risk factors of intestinal parasitic infections were nail-biting habit, source of drinking water, biannual deworming, thumb-sucking, hand sanitation before having food and after toilet, knowledge of parents on parasitosis, health and sanitation, keeping cat/dog as pet, and wearing protective shoes during play (P=0.001). …”
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Endoscopic retrograde cholangiopancreatography combined with extracorporeal shock wave lithotripsy for the removal of large gallbladder stones: a pilot study by Liang Zhu, Jinli He, Zhenzhen Yang, Xi Huang, Junbo Hong, Xiaojiang Zhou, Youxiang Chen, Guohua Li

“…Methods In total, six patients (aged 23–72 years, 3 males and 3 females, Han ethnicity) who had large gallbladder stones (diameter ≥ 1 cm) complicated with common bile duct (CBD) stones and who underwent ERCP combined with ESWL at the First Affiliated Hospital of Nanchang University from July 2022 to December 2022 were enrolled. …”
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A qualitative study on general practitioners’ perspectives on late-life depression in Singapore—part II: system- and physician-related factorsResearch in context by Anna Szücs, V Vien Lee, Laurie J. Goldsmith, Alicia H. Ong, Tim J. Hart, Victor W.K. Loh, Monica Lazarus, Choon Kit Leong, Vivien M.E. Lee, Foon Leng Leong, Doris Young, Andrea B. Maier, Jose M. Valderas

“…GPs were purposively sampled across age, gender, and ethnicity. Analysis followed a reflexive thematic approach and focused on physician- and system-related factors. …”
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Identifying pre-diabetes ‘hotspots’ in Northern California using geospatial analysis: opportunities to target diabetes prevention strategies and improve health equity by Tannaz Moin, Luis A Rodriguez, Obidiugwu Kenrik Duru, Julie Schmittdiel, Tainayah W Thomas, Maher Yassin, Yelba Castellon-Lopez

“…Census tracts within hotspots had lower levels of household income (HL estimate: −3651.00, 95% CI –7256.00 to –25.00), per cent of adults with bachelor’s degrees or higher (HL estimate: −9.08, 95% CI –10.94 to –7.24) and median home values (HL estimate: −113 200.00, 95% CI –140 600.00 to –85 700.00) and higher rates of household poverty (HL estimate: 0.96, 95% CI 0.55 to 1.37), unemployment (HL estimate: 0.39, 95% CI 0.24 to 0.54), household public assistance (HL estimate: 0.97, 95% CI 0.76 to 1.18) and per cent receiving Medicaid (HL estimate: 4.56, 95% CI 3.40 to 5.76) (p&lt;0.05 for all).Conclusions We found that individual-level and census tract-level socioeconomic status, obesity prevalence and race and ethnicity categories of patients living in pre-diabetes hotspots differed from those not identified as a hotspot. …”
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Combining Charlson comorbidity and VACS indices improves prognostic accuracy for all-cause mortality for patients with and without HIV in the Veterans Health Administration by Kathleen A. McGinnis, Amy C. Justice, Amy C. Justice, Vincent C. Marconi, Vincent C. Marconi, Maria C. Rodriguez-Barradas, Maria C. Rodriguez-Barradas, Ronald G. Hauser, Ronald G. Hauser, Krisann K. Oursler, Krisann K. Oursler, Sheldon T. Brown, Kendall J. Bryant, Janet P. Tate, Janet P. Tate, for the Veterans Aging Cohort Study

“…We compared accuracy using C-statistics and calibration curves in validation overall and within subgroups (gender, age &lt;/≥65 years, race/ethnicity, and CCI score). We then applied VACS-CCI in PWH and compared its accuracy to age, VACS Index 2.0, CCI and VACS-CCI with CD4 and HIV RNA added.ResultsThe analytic sample consisted of 6,588,688 PWoH and 30,539 PWH. …”
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Effectiveness of late and very late antivenom administration on recovery from snakebite-induced coagulopathy in French Guiana: a population-based studyResearch in context by Jean Marc Pujo, Stephanie Houcke, Guy Roger Lontsi Ngoulla, Vivian Laurent, Boubacar Signaté, Rémi Mutricy, Alexis Frémery, Flaubert Nkontcho, Ibtissem Ben Amara, José María Gutiérrez, Dabor Resiere, Hatem Kallel

“…The median age of patients was 42 years (IQR: 29–53), 65.4% were male and 34.6% were female (104 and 55 out of 159 patients) without difference regarding the demographic parameters between groups. Data regarding ethnicity was not available. The median time from SB to AV was 8.5 h (IQR: 6.9–10) in the late AV group and 21.1 h (IQR: 16.7–27.4) in the very late AV group (p < 0.001). …”
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Longitudinal Outcomes of Patients with Aortic Stenosis Stratified by Sex: An Asian Perspective by Joy Y. S. Ong, Aloysius S. T. Leow, Chun Yi Ng, Poay Huan Loh, Swee Chye Quek, William K. F. Kong, Tiong Cheng Yeo, Ching Hui Sia, Kian Keong Poh

“…In the severe AS cohort, female sex remained an independent predictor for subsequent heart failure (aHR 2.89, 95% CI 1.01–8.29, <i>p</i> = 0.048) and CV hospitalization (aHR 20.0, 95% CI 1.19–335, <i>p</i> = 0.037) after adjustments for age, ethnicity, body mass index (BMI), comorbidities, left ventricular ejection fraction (LVEF), and AV intervention. …”
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Associations between local COVID-19 policies and anxiety in the USA: a longitudinal digital cohort study by Jeffrey E Olgin, Gregory M Marcus, Rita Hamad, John Kornak, Carmen R Isasi, Ana Sanchez-Birkhead, Mark Pletcher, Soo Park, Natasha Williams, Thomas Carton, Aaron E Cozen, Madelaine Faulkner Modrow, Amy Chiang, Matthew Brandner, Jaime H Orozco, Kristen Azar, Sylvia E K Sudat, Pelin Ozluk, Heather Kitzman, Sara J Knight

“…For public health policy, associations differed by race and ethnicity (p=0.0016), with elevated anxiety under maximal policy among participants identifying as non-Hispanic Black (+1.71; 95% CI 0.26, 3.16) or non-Hispanic Asian (+0.74; 95% CI 0.05, 1.43) and lower anxiety among Hispanic participants (−0.63, 95% CI −1.26 to –0.006). …”
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Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility by Jemar R. Bather, Melody S. Goodman, Adrian Harris, Guilherme Del Fiol, Rachel Hess, David W. Wetter, Daniel Chavez-Yenter, Lingzi Zhong, Lauren Kaiser-Jackson, Rachelle Chambers, Richard Bradshaw, Wendy Kohlmann, Sarah Colonna, Whitney Espinel, Rachel Monahan, Saundra S. Buys, Ophira Ginsburg, Kensaku Kawamoto, Kimberly A. Kaphingst, on behalf of the BRIDGE research team

“…Covariates included study arm, study site, age, sex, race/ethnicity, language preference, rural residence, having a recorded primary care provider, and number of algorithm criteria met. …”
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Can social adversity and mental, physical and oral multimorbidity form a syndemic? A concept and protocol paper by Easter Joury, Easter Joury, Eliana Nakhleh, Ed Beveridge, Derek Tracy, Derek Tracy, Derek Tracy, Derek Tracy, Ellie Heidari, Ellie Heidari, David Shiers, David Shiers, David Shiers, Silke Vereeken, Emily Peckham, Simon Gilbody, Simon Gilbody, Jayati Das-Munshi, Farida Fortune, Farida Fortune, Vishal R. Aggarwal, Masuma Mishu, Masuma Mishu, Joseph Firth, Joseph Firth, Kamaldeep Bhui, Kamaldeep Bhui, Kamaldeep Bhui, Kamaldeep Bhui

“…Thus, the present project aimed to (i) test for syndemic interactions between social adversity (socioeconomic adversity and traumatic events) and mental, physical and oral multimorbidity using the syndemic theoretical framework; and (ii) determine whether the syndemic relationships vary by age, sex and ethnicity.MethodsData from three large-scale population-based databases: UK BioBank, US National Health and Nutrition Examination Survey (NHANES) and the Research with East London Adolescents Community Health Survey (RELACHS) will be analysed. …”
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Use of inpatient palliative care in metastatic testicular cancer patients undergoing critical care therapy: insights from the national inpatient sample by Cristina Cano Garcia, Reha-Baris Incesu, Francesco Barletta, Simone Morra, Lukas Scheipner, Andrea Baudo, Stefano Tappero, Mattia Luca Piccinelli, Zhe Tian, Fred Saad, Shahrokh F. Shariat, Carlo Terrone, Ottavio De Cobelli, Luca Carmignani, Sascha Ahyai, Nicola Longo, Derya Tilki, Alberto Briganti, Severine Banek, Luis A. Kluth, Felix K. H. Chun, Pierre I. Karakiewicz

“…In multivariable analyses, DNR status (OR 10.23, p < 0.001) and African American race/ethnicity (OR 4.69, p = 0.003) were identified as independent predictors of higher IPC use. …”
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A retrospective analysis of outcomes and complications of living- and deceased-donor split-liver transplantation in Johannesburg, South Africa by R Crawford, J Loveland, P Gaylard, J Fabian, K Kinandu, B Bobat, A Mahomed, D Parbhoo, M Beretta, S Berkenfeld, S Rambarran, F van der Schyff, L Brannigan, B Strobele

“…All comparisons were made unadjusted, and adjusted for recipient age, recipient ethnicity, donor sex, and graft-weight-to-recipient-weight ratio (GWRWR) (for the paediatric cohort); and for donor age and GWRWR (for the adult cohort). …”
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A prospective cohort study on the impact of healthy lifestyles on all-cause and cardiovascular disease mortality among adult residents in Guizhou province by Jie ZHOU, Ling LI, Ji ZHANG, Lisha YU, Yujin REN, Wei JI, Yingjiao MU, Tao LIU

“…After adjusting for confounding factors such as sex, age, ethnicity, education level, marital status, residence, systolic blood pressure, diastolic blood pressure, fasting blood glucose (FBG), 2-hour postprandial blood glucose (PBG), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), the multivariable Cox proportional hazards regression analysis showed that the risks of all-cause mortality among adult residents in Guizhou province with 4, 5, 6, and ≥ 7 healthy lifestyle factors were 0.732 times (HR = 0.732, 95%CI: 0.542 – 0.990), 0.667 times (HR = 0.667, 95%CI: 0.499 – 0.893), 0.664 times (HR = 0.664, 95%CI: 0.490 – 0.900), and 0.566 times (HR = 0.566, 95%CI: 0.391 – 0.820) that of those with ≤ 3 healthy lifestyle factors, respectively. …”
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