The role of social, economic, and medical marginalization in cancer clinical trial participation inequities: A systematic review by Grace Ann Hanvey, Hannah Johnson, Gabriel Cartagena, Duane E. Dede, Janice L. Krieger, Kathryn M. Ross, Deidre B. Pereira

“…Extant literature reveals how patients of marginalized social identities, socioeconomic status (SES), and medical experiences – especially patients of color and older adults – are underrepresented in cancer clinical trials (CCTs). …”
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Relationship Between Weight Status and Health-Related Quality of Life in School-age Children in China by Mandana Zanganeh, Peymané Adab, Bai Li, Miranda Pallan, Wei J. Liu, Lin Rong, Wei Liu, James Martin, Kar K. Cheng, Emma Frew

“…The relationship between HRQOL and weight status was examined using multivariable analyses, adjusting for age, gender, and socioeconomic status. **Results:** Full data were available for 1539 children (mean age, 6 years). …”
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Exploring Early Learning Challenges in Children Utilizing Statistical and Explainable Machine Learning by Mithila Akter Mim, M. R. Khatun, Muhammad Minoar Hossain, Wahidur Rahman, Arslan Munir

“…These include harsh disciplinary practices, low socioeconomic status, limited maternal education, and health-related issues. …”
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The relationship between pre-pregnancy BMI and energy and macronutrients intakes during pregnancy in women from Yucatan, Mexico by Hugo Azcorra, Federico Dickinson, José Luis Batún

“…In this sample of Mexican women belonging to a middle socioeconomic status, we found that after excluding under- and over-reporters from the analyses and accounting for maternal socioeconomic characteristics and perinatal variables, BMI was negatively associated with adequacy intake rates of energy, carbohydrates, and total fats during pregnancy.What are the implications of these findings for clinical practice and/or further research? …”
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Spatio-temporal distribution of Dengue, Zika and Chikungunya in Cali, Colombia: 2014-2016 by José F. Fuertes-Bucheli, Gladys Pérez-Arizabaleta, Andrea Quiroz-Caicedo, Robin A. Olaya, Hoover O. León-Giraldo, Robinson Pacheco-López

“…Conclusions: This study identified critical zones for the three arboviral infections, which are located in areas with low socioeconomic status. Likewise, the results suggest that in addition to eco-epidemiological and bio-psychosocial factors, temperature, precipitation, and the aedic index may play an important role in the spatio-temporal behavior of these diseases. …”
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Risk-factor Model Derivation and Validation for the Detection of Oral Potentially Malignant Disorders among General Population of Towns in Pune District, Maharashtra, India by Khushboo Thakkar, Sahana Hegde Shetiya, Dipti Agarwal, Sudhir L. Jadhav

“…Results: Males in the age group of 46–60 years who belonged to low socioeconomic status and smoked ≥4 cigarettes/bidis per day, used smokeless tobacco >20 years and was slaked lime user and alcohol consumer with poor oral hygiene had higher odds of developing OPMD. …”
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Lifetime Paid Work and Mental Health Problems among Poor Urban 9-to-13-Year-Old Children in Brazil by Isabel A. Bordin, Ivens H. Pires, Cristiane S. Paula

“…Potential correlates include child gender and age, socioeconomic status/SES, maternal education, parental working status, and family social isolation, among others. …”
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Socioeconomic Assessment and Impact of Social Security on Outcome in Patients Admitted with Suspected Coronary Chest Pain in the City of Salta, Argentina by Ricardo A. León de la Fuente, Patrycja A. Naesgaard, Stein Tore Nilsen, Leik Woie, Torbjoern Aarsland, Harry Staines, Dennis W. T. Nilsen

“…Low socioeconomic status is associated with increased mortality from coronary heart disease. …”
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Can Obesity Prevalence Explain COVID-19 Indicators (Cases, Mortality, and Recovery)? A Comparative Study in OECD Countries by Yuval Arbel, Chaim Fialkoff, Amichai Kerner, Miryam Kerner

“…Yet, other scholars argue in favor of the existence of an obesity survival paradox and criticize the former group of studies on the grounds that they lack controls for race, socioeconomic status, or quality of care. The objective of the current study is to analyze the potential relationships between different SARS-CoV-2 virus indicators and obesity on a country-wide level based on an OECD report. …”
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Lifestyle and Dietary Factors Associated with the Evolution of Cardiometabolic Risk over Four Years in West-African Adults: The Benin Study by Charles Sossa, Hélène Delisle, Victoire Agueh, Roger Sodjinou, Gervais Ntandou, Michel Makoutodé

“…To assess in adults from Benin changes in cardiometabolic risk (CMR) using both the Framingham risk score (FRS) and metabolic syndrome (MetS) and to examine the effects of diet, and lifestyles, controlling for location and socioeconomic status. Methods. Apparently healthy subjects (n=541) aged 25–60 years and randomly selected in the largest city, a small town, and rural areas were included in the four-year longitudinal study. …”
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Brighter children? The association between seasonality of birth and child IQ in a population-based birth cohort by Vincent W V Jaddoe, Régine P M Steegers-Theunissen, Henning Tiemeier, Albert Hofman, Frank C Verhulst, Nina H Grootendorst-van Mil

“…We explored how adjusting for socioeconomic status and maternal IQ, childbirth outcomes, pregnancy vitamin D status, nutritional intake, exposure to infections, and child age relative to peers in class changed the relation between season of birth and child IQ.Results We found that spring birth was associated with lower non-verbal IQ (estimate: more than 1 point; β−1.24 (95% CI −2.31 to −0.17), p=0.02; seasonal trend β−0.40 (95% CI −0.74 to −0.07), p=0.02) than birth in summer. …”
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The Impact of Child Dental Caries and the Associated Factors on Child and Family Quality of Life by Marziyeh Shokravi, Fatemeh Khani-Varzgan, Mohammad Asghari-Jafarabadi, Leila Erfanparast, Behjat Shokrvash

“…The predictors of suboptimal ECOHIS related to both general and child dimensions were child age 6 year and above: r (756) = 2.43, and P≤0.001, low-socioeconomic status: r (756) = 3.36 and P<0.001 and high dmft: r (756) = 9.10 and P<0.001. …”
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The socioeconomic impact of kidney disease on African families: a scoping review by Ikponmwosa Jude Ogieuhi, Nicholas Aderinto, Gbolahan Olatunji, Emmanuel Kokori, Victor Oluwatomiwa Ajekiigbe, Komolafe Babajide Ayodeji, Adetola Emmanuel Babalola, Ifeanyichukwu Muogbo, Alabi Badrudeen Olalekan, Aarushi Venkatraman, Oluwaseun Oyewo

“…This review highlighted that the socioeconomic status of a patient is inversely related to chronic kidney failure (CKF). …”
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Urban vs Suburban: Is the Door-to-Balloon Time Affected by Geographic, Socioeconomic, or Racial Differences? A Tale of Two Campuses by Marc Zughaib, Patrick Ters, Robby Singh, Marcel Zughaib

“…To add another layer of complexity, patients with varying socioeconomic status and racial differences experience large disparities in health. …”
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Seroprevalence of COVID-19 among voluntary blood donors by Arumugam Pothipillai, Swathandran Hamsavardhini, Deepa Duraisamy, Lincy Thiyagarajan, Chandrasekaran Kaliyaperumal, Jyotsnaa Grace Velure Mohan Rao

“…There was no statistically significant difference in the COVID-19 IgG/IgM + IgA seropositivity status with age, gender, blood group, occupation, or socioeconomic status. The IgG and IgM/IgA/IgG ELISA kits showed a difference of 13 cases which could be attributed to the higher sensitivity of IgG alone ELISA kit. …”
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Social Inequalities in Adolescents’ Psychological and Somatic Complaints: Cross-National Trends Between 2002 and 2022 and the Role of Societal Changes by Mathilde E. Brons, Paola Berchialla, Marco Helbich, Maxim Dierckens, Michela Lenzi, Joanna C. Inchley, Gonneke W. J. M. Stevens

“…We tested (1) whether the association between family socioeconomic status and psychological and somatic complaints changed between 2002 and 2022, (2) the extent to which these trends varied across countries, and (3) whether changes in income inequality, schoolwork pressure, and internet activity within countries were related to these trends.MethodsUsing data from 903,344 adolescents across 32 countries from the Health Behaviour in School-aged Children (HBSC) study between 2002 and 2022, we employed multilevel models to investigate the research questions.ResultsWe observed a nonlinear increase in psychological and somatic complaints over time. …”
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Sensitivity of Self-reported Opium Use in Cancer Patients: Implications for conducting epidemiological studies by Vahideh Mohseni, Maryam Hadji, Mina Khaki, Omid Nabavian, Kazem Zendehdel, Hamideh Rashidian

“…Additionally, the sensitivity of self-reported opium use was higher among alcohol users and participants with low socioeconomic status compared to their counterparts, although these differences were not statistically significant. …”
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Socioeconomic correlates of urban mobility trends in two Australian cities during transitional periods of the COVID-19 pandemic by Pratyush Kollepara, Subhrasankha Dey, Martin Tomko, Erika Martino, Rebecca Bentley, Michele Tizzoni, Nicholas Geard, Cameron Zachreson

“…To understand the socioeconomic determinants of intervention compliance and discretionary behavioural responses to epidemic threats, we investigate whether changes in human mobility showed a systematic variation by socioeconomic status during two distinct periods of the COVID-19 pandemic in Australia. …”
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Knowledge and Attitude Regarding Substance Use and Its Determinants Among College Students in a Coastal Town of South India by Shyamashree Das, Veena G Kamath, Divya Arvind Prabhu, Samir Kumar Praharaj, Akhilesh Kumar Pandey

“…Paternal education, affluent socioeconomic status and usage of substances significantly correlated with knowledge. …”
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Sleep quality in rheumatoid arthritis by Anil Kumar, Rohini Handa, Sundeep Kumar Upadhyaya, Sirinder Jit Gupta, Deepak Ramchandra Malgutte

“…Disease activity was assessed by simplified disease activity index, functional disability was assessed by the health assessment questionnaire disability index-Centre for Rheumatic Diseases version, and quality of life was evaluated by World Health Organization quality of life-BREF (WHOQOL-BREF). Socioeconomic status was assessed by modified Kuppuswamy scale. …”
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