Joint trajectories of physical activity, health, and income before and after statutory retirement: A 22-year follow-up. by Tea Lallukka, Petteri Kolmonen, Ossi Rahkonen, Eero Lahelma, Jouni Lahti

“…They were also more likely to report low education and more physician-diagnosed chronic diseases and mental disorders.<h4>Conclusions</h4>We identified distinct trajectories in physical activity, general health perceptions, and income over a follow-up of over 20 years. …”
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Sleep duration, sleep disturbances and skeletal muscle mass change over time: A population-based longitudinal analysis in Peru [version 3; peer review: 1 approved, 2 approved with... by Enrique S. Nuñez-del-Arco, Renzo A. Agurto-García, Rodrigo M. Carrillo-Larco, J. Jaime Miranda, Antonio Bernabe-Ortiz

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Examining the Outcomes of Hybrid Coronary Revascularization in Acute STEMI Patients from 2015 to 2022 by Mozhgan Bahramian, Seyed Ali Moezi bady, Maryam Bahramian, Ahmad Amouzeshi

“…The global rise of chronic diseases, especially cardiovascular disease (CVD), poses a significant public health challenge, being a leading cause of death and disability worldwide. …”
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Comparing physiological and psychological effects of virtual reality vs. traditional high-intensity interval training in healthy individuals: results from a preliminary pilot rando... by Jonathan Robinson, Mohammad Haziq Bin Abdul Razak

“…Abstract Background Physical inactivity is a growing concern, contributing significantly to the development of chronic diseases. Virtual reality and active video games have emerged as potential solutions to promote physical activity by integrating immersive experiences with exercise. …”
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Synergistic attenuation of complete freund’s adjuvant-induced inflammation in mice using shinbaro-pelubiprofen: a novel therapeutic complex by Hyunseong Kim, Jin Young Hong, Wan-Jin Jeon, Hyun Kim, Changhwan Yeo, Junseon Lee, Yoon Jae Lee, In-Hyuk Ha

“…However, chronic inflammation can be harmful and significantly contribute to the development and progression of chronic diseases, with macrophage-mediated responses being central to these processes. …”
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Effect of a Multistage Educational Skill-Based Program on Nurse’s Stress and Anxiety in the Intensive Care Setting: A Randomized Controlled Trial by Mohsen Saffari, Farshid Rahimi Bashar, Amir Vahedian-Azimi, Mohamad Amin Pourhoseingholi, Leila Karimi, Morteza Shamsizadeh, Keivan Gohari-moghadam, Amirhossein Sahebkar

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Prospective Application of the Erythrocyte Sedimentation Rate (ESR) as a Possible Inflammatory Marker in Feline Patients by Eleonora Gori, Anna Pasquini, Saverio Paltrinieri, George Lubas, Carlo Militello, Daniela Diamanti, Carlo Carletti, Marianna Pantoli, Veronica Marchetti

“…Cats with acute-on-chronic diseases had the highest ESR (median 47 mm/h; range 35–56 mm/h) compared with acute (median 16 mm/h; range 14–42 mm/h; p=0.003) and chronic cats (median 14 mm/h; range 10–31 mm/h; p<0.0001). …”
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Association of frailty with non-laboratory based cardiovascular disease risk score among older adults and elderly population: insights from longitudinal aging study in India (LASI-... by Pritam Halder, Semanti Das, Anshul Mamgai, Divya Sharma, Ashish Behera, Pulak Syal, Vineeth Rajagopal, Tanvi Kiran

“…Abstract Introduction Frailty is an inevitable part of ageing, which is also associated with a variety of chronic diseases, the most common of which are cardiovascular diseases. …”
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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

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Association of anxiety status and anxiety duration with constipation in adult Americans: a cross-sectional study using data from the NHANES 2007–2010 by Xinran Li, Conghui Bian, Hui Dai, Xingrui Chen, Haihua Qian, Dan Zhang

“…The analysis accounted for potential confounding factors, including gender, age, race/ethnicity, education level, marital status, PIR, BMI, smoking status, drinking status, chronic diseases, and dietary intake. Subgroup analyses were conducted to ensure the stability of the results. …”
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Sleep duration, sleep disturbances and skeletal muscle mass change over time: A population-based longitudinal analysis in Peru [version 4; peer review: 1 approved, 2 approved with... by Enrique S. Nuñez-del-Arco, Renzo A. Agurto-García, Rodrigo M. Carrillo-Larco, J. Jaime Miranda, Antonio Bernabe-Ortiz

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Relationship Between Body Mass Index and Low Skeletal Muscle Mass in Adults Based on NHANES 2011–2018 by Rong-Zhen Xie, Xu-Song Li, Fang-Di Zha, Guo-Qing Li, Wei-Qiang Zhao, Yu-Feng Liang, Jie-Feng Huang

“…Weighted multivariable logistic regression assessed associations between BMI and low muscle mass, adjusting for confounders such as age, gender, ethnicity, income-to-poverty ratio, and chronic diseases (e.g., diabetes and hypertension). Variance inflation factors (VIF) confirmed the absence of multicollinearity. …”
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Factors Associated with the Severity of Stress Urinary Incontinence in Elderly Women by Suting Li, Zhi Wang, Lian Yang, Shaoying Liu, Lili Jing, Li Hong

“…Data collection encompassed demographic information, clinical features (including obstetric history, chronic diseases, Urogenital Distress Inventory-6 (UDI-6), and International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF) scores), as well as physical examinations (including assessments of pelvic floor muscle strength, pelvic organ prolapse quantification (POP-Q) system, and pelvic floor ultrasound imaging). …”
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Insights into youth nutritional status in Serbia: assessing prevalence and trend in the context of social determinants by Sanja Stanisavljević, Aleksandar Milovanović, Anđela Milovanović, Branko Jakovljević, Vesna Bjegović-Mikanović, Divna Kekuš

“…Different factors were associated with different nutritional status levels - for underweight: female gender (OR: 5.29), age 15–19 (OR: 0.06), being married/ in a relationship (OR: 0.69), living in Belgrade region (OR: 1.35), presence of chronic diseases (OR: 0.56), consumption of psychoactive substances (OR:0.56) and non-smoking (OR: 0.70); for pre-obesity: female gender (OR: 0.38), ages 15–19 (OR:0.36) and 20–24 (OR:0.65), being married/ in a relationship (OR: 1.39), having high wealth index (OR:1.30) and non-smoking status (OR:1.32); for obesity: female gender (OR: 0.36), ages 15–19 (OR:0.35) and 20–24 (OR:0.51), being married/ in a relationship (OR:2.31) and primary education level (OR:2.17). …”
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The Effect of the Teach-Back Method on Knowledge, Performance, Readmission, and Quality of Life in Heart Failure Patients by Ali Rahmani, Amir Vahedian-Azimi, Masoud Sirati-Nir, Reza Norouzadeh, Hamid Rozdar, Amirhossein Sahebkar

“…Background. Among chronic diseases, heart failure has always been a serious challenge imposing high costs on health systems and societies. …”
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Glucometabolic-Related Genes as Diagnostic Biomarkers and Therapeutic Targets for Alzheimer’s Disease and Type 2 Diabetes Mellitus: A Bioinformatics Analysis by Shuo Liu, He Chen, Xiao-Dong He, Xiao-Ou Yang

“…These insights are set to enhance our understanding of the complex pathophysiology underlying these widespread chronic diseases.…”
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Impact of urbanisation on the gaps of hypertension prevalence, awareness and treatment among older age in China: a cross-sectional study by Qiutong Yu, Genyong Zuo

“…The Blinder-Oaxaca decomposition suggested that approximately 42% and 39% of the urban–rural gap in hypertension awareness and treatment, respectively, could be attributed to coefficient difference.Conclusions Public health programmes and policies for chronic diseases should adjust with urbanisation and combine individual-centred strategies.…”
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Cardiometabolic index as a predictor of gallstone incidence in U.S. adults: insights from NHANES 2017–2020 by Ji Li, Shou-jun Bai

“…Methods This study utilized data from the National Health and Nutrition Examination Survey(NHANES)(2017–2020) to assess the association between CMI and GSD, adjusting for confounders such as age, sex, race, chronic diseases, and lifestyle factors. Multivariable logistic regression models and subgroup analyses were employed. …”
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Uptake and hesitancy of the second booster dose of COVID-19 vaccine among the general population in China after the surge period of the COVID-19 pandemic: a large-scale national st... by Xin Liu, You Xin, Ling Zhang, Yijin Wu, Shu Jing, Zhenwei Dai, Tianrui Ren, Xiaoyang Liu, Jiaqi Fu, Xu Chen, Weijun Xiao, Hao Wang, Yiman Huang, Wenjun Wang, Xiaofen Gu, Li Ma, Shaokai Zhang, Yanqin Yu, Li Li, Tianzuo Gao, Tianyou Zhao, Yimin Qu, Xinyan Liu, Xiaoyou Su, Youlin Qiao

“…The highest hesitancy rate was observed among participants who had not completed primary immunization (71.4%), followed by those with chronic diseases (48.6%) and those aged 60 and above (33.2%). …”
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AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcareMendeley Data by Mayen Uddin Mojumdar, Dhiman Sarker, Md Assaduzzaman, Md. Anisul Haque Sajeeb, Md. Mohaimenur Rahman, Md Shadikul Bari, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty

“…Common causes include blood loss, chronic diseases, and iron and vitamin deficiencies. This dataset captures various hematological parameters of patients suffering from anemia, including sex, age, Hemoglobin level (Hb), oxygen transportation (RBC), packed cell volume (PCV), mean corpuscular volume (MCV), Mean Corpuscular Hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC). …”
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