A latent class assessment of healthcare access factors and disparities in breast cancer care timeliness. by Matthew R Dunn, Didong Li, Marc A Emerson, Caroline A Thompson, Hazel B Nichols, Sarah C Van Alsten, Mya L Roberson, Stephanie B Wheeler, Lisa A Carey, Terry Hyslop, Jennifer Elston Lafata, Melissa A Troester

“…We used latent class analysis (LCA) to group participants based on patterns of factors within 3 separate domains: socioeconomic status ("SES"), "care barriers," and "care use." …”
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Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts by Rafaela Costa Martins, Bruna Gonçalves C. da Silva, Cauane Blumenberg, Luiza Isnardi Ricardo, Shana Ginar da Silva, João Pedro Ribeiro, Alicia Matijasevich, Ana Maria Baptista Menezes, Helen Gonçalves, Fernando César Wehrmeister, Iná dos Santos, Inácio Crochemore-Silva, Aluísio JD Barros

“…Almost all imputed estimates were comparable to the complete cases, and the highest difference found was 0.7 mg for the first quintile of socioeconomic status of the 1993 birth cohort. Multiple imputation is a positive technique to deal with missing data from objectively measured physical activity. …”
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Joint effect of modifiable risk factors on Parkinson’s disease: a large-scale longitudinal study by Panlong Li, Xirui Zhu, Min Liu, Yanfeng Wang, Chun Huang, Junwei Sun, Shan Tian, Yuna Li, Yuan Qiao, Junting Yang, Shanshan Cao, Chaohua Cong, Lei Zhao, Jingjing Su, Dandan Tian

“…A broad exposure association study was conducted across seven domains: socioeconomic status, medical history, psychosocial factors, physical measures, early life, local environment, and lifestyle. …”
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Evolving racial/ethnic disparities in AML survival in the novel therapy era by Xin Wang, Phyllis A. Gimotty, Andrew H. Matthews, Ronac Mamtani, Selina M. Luger, Elizabeth O. Hexner, Daria V. Babushok, Shannon R. McCurdy, Noelle V. Frey, Ximena Jordan Bruno, Saar Gill, Mary Ellen Martin, Vikram R. Paralkar, Ivan Maillard, David L. Porter, Alison W. Loren, Alexander E. Perl, Keith W. Pratz, Kelly D. Getz, Catherine Lai

“…Non-Hispanic Black (NHB) and Hispanic patients were younger and more likely to have lower socioeconomic status than non-Hispanic White (NHW) patients, with no differences in the distributions of key disease features. …”
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Decomposing the Poor-Non-Poor Gap in the Prevalence of Undiagnosed and Untreated Hypertension Among Bangladeshi Population by Mosiur Rahman, Mahfuza Khatun, Asrafun Naher Pinkey, Syed Emdadul Haque, Farhana Akhter Liza, Md. Nuruzzaman Haque, Prosannajid Sarkar, Tapan Kumar Roy, G. M. Rabiul Islam, Md. Rashed Alam, Mahmudul Hasan, Izzeldin Fadl Adam, Nguyen Huu Chau Duc, Saber Al-Sobaihi, Abid Hasan

“…Objectives: Our objectives were to ascertain: the prevalence and socio-economic distribution of hypertension, as well as the rates of undiagnosed and untreated hypertension; the association between socioeconomic status (SES) and the occurrence of hypertension, as well as the rates of undiagnosed and untreated hypertension; and the factors influencing the poor-non-poor gap in terms of the prevalence, diagnosis, and treatment of hypertension. …”
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Strategies and resources used by public health units to encourage COVID-19 vaccination among priority groups: a behavioural science-informed review of three urban centres in Canada by Tori Langmuir, Mackenzie Wilson, Nicola McCleary, Andrea M. Patey, Karim Mekki, Hanan Ghazal, Elizabeth Estey Noad, Judy Buchan, Vinita Dubey, Jana Galley, Emily Gibson, Guillaume Fontaine, Maureen Smith, Amjad Alghamyan, Kimberly Thompson, Jacob Crawshaw, Jeremy M. Grimshaw, Trevor Arnason, Jamie Brehaut, Susan Michie, Melissa Brouwers, Justin Presseau

“…Methods We reviewed the online and in-person strategies/resources used by three PHUs in Ontario, Canada to promote COVID-19 vaccine uptake among priority groups (Black and Eastern European populations, and/or neighbourhoods with low vaccine uptake or socioeconomic status). Strategies/resources were identified from PHU websites, social media, and PHU liaison. …”
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Variables associated with cognitive function: an exposome-wide and mendelian randomization analysis by Yong-Li Zhao, Yi-Ning Hao, Yi-Jun Ge, Yi Zhang, Lang-Yu Huang, Yan Fu, Dan-Dan Zhang, Ya-Nan Ou, Xi-Peng Cao, Jian-Feng Feng, Wei Cheng, Lan Tan, Jin-Tai Yu

“…Subsequently, our multivariable analyses identified 41 variables that were significantly associated with at least one cognitive function, spanning categories such as education, socioeconomic status, lifestyle factors, body measurements, mental health, medical conditions, early life factors, and household characteristics. …”
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Risk factors and prediction model of breast cancer-related lymphoedema in a Chinese cancer centre: a prospective cohort study protocol by Yue Wang, Xin Li, Ying Wang, Hongmei Zhao, Qian Lu, Yujie Zhou, Liyuan Zhang, Aomei Shen, Jingru Bian, Wanmin Qiang, Jingming Ye, Hongmeng Zhao, Yubei Huang, Zhongning Zhang, Peipei Wu

“…Potential risk factors are classified into innate personal traits, behavioural lifestyle, interpersonal networks, socioeconomic status and macroenvironmental factors, based on health ecology model. …”
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Wealth-based inequalities in tuberculosis prevalence among households having children and young adults in India: insights from Indian demographic and health surveys (2015–2021) by Saurabh Singh, Quazi Syed Zahiruddin, Sorabh Lakhanpal, Suhas Ballal, Sanjay Kumar, Mahakshit Bhat, Shilpa Sharma, M Ravi Kumar, Yogesh Kumar Dhandh, Sarvesh Rustagi, Mohammed Alissa, Muhammad A. Halwani, Mohammed Garout, Hayam A Alrasheed, Maha F. Al-Subaie, Nawal A. Al Kaabi, Ali A. Rabaan, Sanjit Sah, Muhammed Shabil, Mahalaqua Nazli Khatib, Prakasini Satapathy

“…This study aims to bridge this gap by examining the association between TB and various socio-demographic factors, including socioeconomic status, nutritional status, and environmental conditions. …”
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Resting-state functional brain connectivity in female adolescents with first-onset anorexia nervosa by Katrien F.M. Bracké, Laura Monteiro Rente Dias, Marisha N. Meijer, Cathelijne P.M. Steegers, Laurinde F. den Heijer, Tess van der Harst, Marjolein H.G. Dremmen, Meike W. Vernooij, Gwen C. Dieleman, Tonya White

“…Two statistical models were used: model 1 adjusted for age and socioeconomic status (SES), and model 2 additionally adjusted for baseline anxiety and depressive symptoms. …”
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Predicted impact of banning nonessential, energy-dense food and beverages in schools in Mexico: A microsimulation study. by Ana Basto-Abreu, Martha Carnalla, Francisco Reyes-Sánchez, Alan Reyes-García, Michelle M Haby, Isabel Junquera-Badilla, Lianca Sartoris-Ayala, Juan A Rivera, Barry M Popkin, Tonatiuh Barrientos-Gutiérrez

“…The TEI after the intervention was estimated under 4 scenarios: (1) using national data to inform the intervention effect; (2) varying law compliance; (3) using meta-analytic data to inform the intervention effect size on calories; and (4) using national data to inform the intervention effect by sex and socioeconomic status (SES). We used Hall's microsimulation model to estimate the potential impact on body weight and obesity prevalence of children and adolescents 1 year after implementing the intervention in Mexican schools. …”
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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<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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Epilepsy care pathway: The Finnish model by Reetta Kälviäinen, Zakarya Hadj‐Allal, Jarkko Kirjavainen, Reina Roivainen, Tarja Linnankivi, Jukka Peltola, Kai Eriksson, Salla Lamusuo, Tuire Lähdesmäki, Johanna Annunen, Päivi Vieira, Virpi Tarkiainen, Leena Jutila, Anni Saarela, Leena Kämppi, Liisa Metsähonkala, Eija Gaily, Niina Lähde, Jaana Antinmaa, Sini Erme, Anna‐Leena Pirttisalo, Jari Virolainen, Milla Ylijoki, Laura Kela, Jonna Komulainen‐Ebrahim, Paula Sorjonen, Finnish Severe Epilepsy Coordination Group

“…Abstract Objective Integrated care pathways are essential for consistent, effective epilepsy care, offering equal access and quality regardless of socioeconomic status. They must align with the WHO Global Action Plan on Epilepsy, ensuring best practices and cost‐effective management. …”
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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

“…Results Patients living in areas of medium socioeconomic status (SES) vulnerability had lower odds of initiating pre-test genetic services (adjusted OR [aOR] = 0.81, 95% CI: 0.67, 0.98) compared to patients living in low SES vulnerability areas. …”
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Comparative Ethics of Modern Payment Models by Jacob Riegler

“…Yet, none of them ensure a just distribution of care to those of low socioeconomic status. Future models must work towards incentivizing principles of distributive justice. …”
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Scrutinizing Generation Z's Interpretation of Social Justice: A Case Study in Khomeinishahr, Iran by Akbar Zareshahabadi, Alireza Asgari, Reza Javadian

“…In the economic sphere, they encountered discriminatory practices that resulted in disparities related to livelihood, employment, and socioeconomic status. Within families, common experiences of discrimination included parental favoritism among siblings or grandchildren, as well as restrictions placed on daughters. …”
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Long-term ambient air pollution and the risk of major mental disorder: A prospective cohort study by Chuyu Pan, Bolun Cheng, Shiqiang Cheng, Li Liu, Xuena Yang, Peilin Meng, Xin Qi, Na Zhang, Xiaoyue Qin, Dan He, Wenming Wei, Jingni Hui, Yan Wen, Yumeng Jia, Huan Liu, Feng Zhang

“…We also observed joint effects of socioeconomic status or genetic risk with air pollution on the MD risk. …”
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Differences in dialysis modality choice between immigrant and native populations in Barcelona, Spain by María Dolores Arenas-Jiménez, Jose Luis Fernandez-Martin, Isabel Galcerán Herrera, Marisol Fernández-Chamarro, Guillermo Pedreira-Robles, Silvia Collado Nieto, Julia Farrera Núñez, Eva Rodríguez García, Alicia Moreno Rodríguez, Laura Morro Fernández, Marta Crespo Barrio, Julio Pascual Santos

“…Keywords: advanced chronic kidney disease, socioeconomic status, demographic factors, shared decision making, renal replacement therapy, peritoneal dialysis, conservative care, hemodialysis, renal transplantation, language barrier, social determinants of health, immigration, social determinants of health. …”
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Prevalence of chronic kidney disease among Chinese adults with diabetes: a nationwide population-based cross-sectional studyResearch in context by Weiping Jia, Rong Yu, Limin Wang, Dalong Zhu, Lixin Guo, Jianping Weng, Hong Li, Mei Zhang, Xiaoqi Ye, Zhiguang Zhou, Dajin Zou, Qiuhe Ji, Xiaohui Guo, Yinan Zhang, Dong Lang, Jiarui Wu, Jing Wu, Xuhong Hou, Xiaohui Guo, Kai Wu, Liming Chen, Demin Liu, Guangyao Song, Linyi Shu, Jing Yang, Yan Wang, Dongmei Li, Qiansha Guo, Ling Li, Na Wu, Yadong Sun, Huifang Cheng, Hongyu Kuang, Huijuan Zhang, Weiping Jia, Xuhong Hou, Dalong Zhu, Jian Zhu, Hong Li, Fenping Zheng, Qiu Zhang, Honglin Hu, Gang Chen, Xingquan Yang, Xiaoyang Lai, Jianping Liu, Li Chen, Ming Dong, Zhigang Zhao, Jian Liu, Guangda Xiang, Junxia Zhang, Zhiguang Zhou, Jian Peng, Jianping Weng, Longyi Zeng, Yuzhen Liang, Guoqiao Li, Kaining Chen, Leweihua Lin, Qifu Li, Qingfeng Cheng, Xingwu Ran, Dawei Chen, Hong Li, Xin Nian, Lihui Yang, Shuyou Meng, Jing Xu, Junhong Long, Jing Liu, Qi Zhang, Qingxiang Dai, Xiaomin Xie, Guirong Bai, Jun Li, Tao Li, Zhong Dong, Tao Zhang, Sijia Liu, Yong Yang, Kun Geng, Wenlong Zheng, Zhihong Li, Hui Wang, Zuojun Wu, Miao Wang, Jixin Sun, Jianwei Zhou, Jun An, Huaqing Shen, Yanfang Li, Zeping Ren, Xiuli Xue, Shaohui Jia, Yongping Zheng, Jiaoxia Li, Yonggang Qian, Ping Ma, Yan Su, Liang Cao, Xuyi Yang, Guowei Pan, Guangzhi Pan, Ling Jin, Quanfu Yu, Yunfei Liu, Yingli Zhu, Zhifang Cheng, Jun Yang, Chundi Jia, Qing Wang, Shichun Yan, Jingyang Huang, Yumei Chi, Li Zhang, Ruifa Pang, Yan Shi, Yan Lu, Yiling Wu, Jie Yu, Chunxiang Wu, Jinyi Zhou, Yunxia Wu, Ning Zhang, Jing Sun, Xiumei Tian, Jieming Zhong, Jingying Chen, Kaixu Xie, Lingjuan Fu, Xiaohua Wang, Yeji Chen, Ling Zeng, Zhenqian Cao, Maomin Yang, Biao Hu, Wenling Zhong, Qingyan Liu, Zhiding Huang, Qingbin Lai, Yuyu Zhang, Liping Zhu, Yujing Zhao, Wuming Tao, Yonghai Tu, Lin Zhou, Xiaolei Guo, Benzheng Chai, Liping Ding, Yuewei Zou, Dongzhi Li, Li Hua, Shixian Feng, Jianli Guo, Wanguang Liu, Qingxiang Li, Yunzhi Zheng, Minli Xu, Lan Zhang, Chunbo Li, Yingchao Wan, Chi Hu, Shengping Xu, Biyun Chen, Huilin Liu, Xiaojia Bian, Wenwei Chen, Honghua Li, Yanjun Xu, Fan Weng, Hong Wu, Weijin Zhang, Liankai Zhu, Jun Meng, Jin Yang, Yongsong Zeng, Gaoke Zhai, Lingfeng Qin, Yi Lu, Zhenwang Fu, Shukuan Wu, Caigang Li, Na Wang, Lianfen Chen, Xianbin Ding, Qi Zhou, Yiling Xie, Rui Chen, Dongsheng Yang, Ying Deng, Youping Hu, Bo Huang, Ping Wang, Peng Cai, Changyan Peng, Xiaofang Chen, Ling Li, Liang Xiao, Chenglin Wang, Chaogang Tan, Daobin Chen, Min Chen, Mingfang Qin, Zhaomin Lei, Jianzhi Qiu, Wei Yu, Yunfei Li, Guoxia Bai, Ying Wang, Lin Qiu, Ning Wang, Xudong Zhao, Ani Yan, Jianfei Liu, Tingcai Wang, Kaihua Hao, Zaihong Zhang, Zhanqi Xian, Tenghuan Ma, Zhihua Xu, Yi Yang, Hongli Wang, Rong Li, Zhonggang Zhao, Caixia Fan, Purhati, Hongjun Xu, Liping Gao

“…The associations of albuminuria and decreased eGFR with potential associated factors, including CVH, socioeconomic status, clinical characteristics, sub-regional divisions, comorbidities, treatments, and metabolic controls, were evaluated using survey logistic regression. …”
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Multi-cancer early detection tests for general population screening: a systematic literature review by Ros Wade, Sarah Nevitt, Yiwen Liu, Melissa Harden, Claire Khouja, Gary Raine, Rachel Churchill, Sofia Dias

“…Ethnicity and socioeconomic status of included participants were not well reported. …”
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