Plasma circulating cell–free DNA integrity and relative telomere length as diagnostic biomarkers for Parkinson’s disease and multiple system atrophy: a cross-sectional study by Chao Ying, Chao Han, Yuan Li, Mingkai Zhang, Shuying Xiao, Lifang Zhao, Hui Zhang, Qian Yu, Jing An, Wei Mao, Yanning Cai

“…The diagnostic potential of the cell-free DNA parameters was evaluated using receiver operating characteristic (ROC) analysis, and their association with disease prevalence was examined through logistic regression models, adjusting for confounders such as age, sex, body mass index, and education level. The results showed that cell-free DNA integrity was significantly elevated in both Parkinson’s disease and multiple system atrophy patients compared with normal controls (P < 0.001 for both groups), whereas cell-free DNA relative telomere length was markedly shorter (P = 0.003 for Parkinson’s disease and P = 0.010 for multiple system atrophy). …”
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High Serum Asprosin Levels Are Associated with Presence of Metabolic Syndrome by Tao Hong, Jiao-Yang Li, Ya-Di Wang, Xiao-Yan Qi, Zhe-Zhen Liao, Poonam Bhadel, Li Ran, Jing Yang, Bin Yan, Jiang-Hua Liu, Xin-Hua Xiao

“…In all studied subjects, serum asprosin levels were positively correlated with body mass index, waist circumference, triglycerides, fasting plasma glucose, 2-hour plasma glucose, fasting insulin, homeostatic model assessment of insulin resistance (HOMA-IR) index, interleukin-6, and monocyte chemoattractant protein-1 and negatively correlated with high-density lipoprotein cholesterol (P<0.05). …”
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Association between Comorbidities and Progression of Transvalvular Pressure Gradients in Patients with Moderate and Severe Aortic Valve Stenosis by Tim Salinger, Kai Hu, Dan Liu, Scharoch Taleh, Sebastian Herrmann, Daniel Oder, Daniel Gensler, Jonas Müntze, Georg Ertl, Kristina Lorenz, Stefan Frantz, Frank Weidemann, Peter Nordbeck

“…Laboratory parameters, medication, and prevalence of eight known cardiac comorbidities and risk factors (hypertension, diabetes, coronary heart disease, peripheral artery occlusive disease, cerebrovascular disease, renal dysfunction, body mass index ≥30 Kg/m2, and history of smoking) were analyzed. …”
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Lifestyle risk factors for overweight and obesity among rural Indian adults: a community-based prospective cohort study by Rajesh Kumar Rai, Sabri Bromage, Jan-Walter De Neve, Anamitra Barik

“…India’s nutrition transition has led to an increased burden of overweight/obesity (body mass index of ≥23 kg/m2), driven by lifestyle factors like poor diet, inactivity, and substance use, prompting public health interventions. …”
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Interaction of genetics risk score and fatty acids quality indices on healthy and unhealthy obesity phenotype by Niloufar Rasaei, Seyedeh Fatemeh Fatemi, Fatemeh Gholami, Mahsa Samadi, Mohammad Keshavarz Mohammadian, Elnaz Daneshzad, Khadijeh Mirzaei

“…Results We found significant interactions between GRS and N6/N3 in the adjusted model controlling for confounding factors (age, body mass index, energy, and physical activity) (β = 2.26, 95% CI: 0.008 to 4.52, P = 0.049). …”
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Perceived barriers to physical activity and their predictors among adults in the Central Region in Saudi Arabia: Gender differences and cultural aspects. by Osama Abdelhay, Mohammad Altamimi, Qusai Abdelhay, Marwan Manajrah, Ayla M Tourkmani, Mutaz Altamimi, Taghreed Altamimi

“…Additionally, older age, higher body mass index, higher education level, marriage, certain employment statuses, and chronic diseases were significantly associated with increased reported internal and external barriers. …”
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Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes by Yibin Cai, Jianming Ding, XiaoJun Cai, Weikun Su, Guibin Weng, Xinlong Zheng, Shijie Chen, Lin Chen, YiJin Lin, Qiwei Yao, Chunkang Yang

“…Multivariate logistic analyses demonstrated that chemotherapy cycles, tumor length, body mass index (BMI), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) were independent recurrence risk factors (p < 0.05). …”
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The effect of prenatal balanced energy and protein supplementation on gestational weight gain: An individual participant data meta-analysis in low- and middle-income countries. by Dongqing Wang, Uttara Partap, Enju Liu, Janaína Calu Costa, Ilana R Cliffer, Molin Wang, Sudeer Kumar Nookala, Vishak Subramoney, Brittany Briggs, Imran Ahmed, Alemayehu Argaw, Shabina Ariff, Nita Bhandari, Ranadip Chowdhury, Daniel Erchick, Armando García-Guerra, Masoumah Ghaffarpour, Giles Hanley-Cook, Lieven Huybregts, Fyezah Jehan, Fatemeh Kaseb, Nancy F Krebs, Carl Lachat, Tsering Pema Lama, Dharma S Manandhar, Elizabeth M McClure, Sophie E Moore, Ameer Muhammad, Lynnette M Neufeld, Andrew M Prentice, Amado D Quezada-Sánchez, Dominique Roberfroid, Naomi M Saville, Yasir Shafiq, Bhim P Shrestha, Bakary Sonko, Sajid Soofi, Sunita Taneja, James M Tielsch, Laéticia Céline Toe, Naser Valaei, Wafaie W Fawzi

“…The effects of prenatal BEP on GWG outcomes were stronger in studies with a targeted approach, where BEP supplements were provided to participants in the intervention arm under specific criteria such as low body mass index or low GWG, compared to studies with an untargeted approach, where BEP supplements were provided to all participants allocated to the intervention arm.…”
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Risk Factors Associated with Cardiac Autonomic Modulation in Obese Individuals by Camila Oliveira, Erika Aparecida Silveira, Lorena Rosa, Annelisa Santos, Ana Paula Rodrigues, Carolina Mendonça, Lucas Silva, Paulo Gentil, Ana Cristina Rebelo

“…Anthropometric data, biochemical exams, heart rate variability (HRV), accelerometry, and 24 h recall (R24H) of obese patients (body mass index BMI ≥35 kg/m2) were collected. Results. 64 obese patients were analyzed, with a mean age of 39.10 ± 7.74 years (27 to 58 years). …”
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Association between serum testosterone changes and parameters of the metabolic syndrome by Sohei Kuribayashi, Shinichiro Fukuhara, Hiroaki Kitakaze, Go Tsujimura, Takahiro Imanaka, Norichika Ueda, Kentaro Takezawa, Hiroshi Kiuchi, Ayaka Tachi, Jiro Sakamoto, Toyofumi Abe, Go Tanigawa, Yasushi Miyagawa, Takashi Fujimoto, Norio Nonomura

“…Decreased TT tended to increase body weight, body mass index, waist circumference, and visceral fat (p for trend 0.0136, 0.0272, 0.0354, and 0.0032, respectively), and decrease adiponectin level (p for trend 0.0219). …”
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Novel anthropometric indices are superior adiposity indexes to portend visual impairment in middle-aged and older Chinese population by Qing Chen, Yanan Hou, Yifan Zhou, Jianfeng Luo, KaiweiSa Abuduxukuer, Chuchu Wang, Jialong Dong, Yiting Wang, Wenming Shi, Fei Shi, Qing Peng

“…We enrolled six adiposity indices, including the body mass index (BMI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI), a body shape index (ABSI), body roundness index (BRI) and conicity index (ConI). …”
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The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis by Marga Decraene, Kar Hau Chong, Ty Stanford, Dorothea Dumuid, Penny Cross, Greet Cardon, Vera Verbestel, Marieke De Craemer, Anthony Okely

“…Their weight and height were measured using standardized protocols and converted to Body Mass Index (BMI) z-scores using the World Health Organisation growth references. …”
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Clinical Features and Contributing Factors of Excessive Daytime Sleepiness in Chinese Obstructive Sleep Apnea Patients: The Role of Comorbid Symptoms and Polysomnographic Variables by Chuan Shao, Huan Qi, Ruyi Lang, Biyun Yu, Yaodong Tang, Lina Zhang, Xun Wang, Ling Wang

“…The age of patients with severe EDS (49.5 ± 11.3) was slightly greater than that of patients with mild to moderate EDS (44.5 ± 10.2) (p<0.05) and non-EDS patients (45.2 ± 12.0) (p<0.05). Body mass index (BMI) was highest in the severe EDS group (29.1 ± 3.6 kg/m2) (p<0.0001), intermediate in the mild to moderate EDS group (27.9 ± 3.3 kg/m2), and lower in the non-EDS group (26.8 ± 3.3 kg/m2). …”
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Industry of employment and occupational class in relation to cardiovascular health by race/ethnicity, sex/gender, age and income among adults in the USA: a cross-sectional study by Symielle A Gaston, Chandra L Jackson, Jamie A Murkey, Dana M Alhasan, W Braxton Jackson

“…Yet, few studies have included racially/ethnically diverse samples.Methods Using 2004–2018 National Health Interview Survey cross-sectional data, we investigated standardised occupational classifications in relation to ‘ideal’ CVH using a modified ‘ideal’ CVH (mICVH) metric among US adults (n=230 196) by race/ethnicity, sex/gender, age, and income. mICVH was defined as a report of ‘yes’ to the following: never smoked/former smoker; body mass index (≥18.5–25 kg/m2); physical activity (≥150–300 min/week moderate or ≥75–150 min/week vigorous); sleep duration (7–9 hours/night); and no prior diagnosis of dyslipidaemia, hypertension, or diabetes/pre-diabetes. …”
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Serum adropin levels as a potential biomarker for predicting diabetic kidney disease progression by I-Wen Chen, I-Wen Chen, Cheng-Wei Lin, Cheng-Wei Lin, Cheng-Wei Lin, Chia-Ni Lin, Chia-Ni Lin, Szu-Tah Chen, Szu-Tah Chen, Szu-Tah Chen

“…The association with CKD progression was still significant after adjusting for age, gender and body mass index (adjusted odds ratio = 27.188, 95% confidence interval 1.415-522.527, P =0.029).ConclusionsThe above findings suggest that serum adropin could be applied as a potential biomarker for predicting CKD progression in subjects with T2D. …”
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Risk of Dysglycemia in Pregnancy amongst Kenyan Women with HIV Infection: A Nested Case-Control Analysis from the STRiDE Study by Sonak D. Pastakia, Wycliffe K. Kosgei, Astrid Christoffersen-Deb, Benson Kiragu, John N. Hector, Gertrude Anusu, Ponnusamy Saravanan

“…Pregnant women with HIV within the larger STRiDE cohort were matched to non-HIV-infected women within the STRiDE cohort at a 1 : 3 ratio based on body mass index, parity, family history of GDM, gestational age, and family history of hypertension. …”
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Impact of Handgrip Strength on Survival in Hemodialysis Patients by Kyungho Park, Seongyeop Jeong, Hyerim Park, Eu Jin Lee, Young Rok Ham, Ki Ryang Na, Dae Eun Choi

“…<b>Results</b>: Cox proportional hazards regression analysis revealed that lean tissue index (LTI) (HR 3.30, 95% CI 1.75–6.19), body mass index (BMI) (HR 2.65, 95% CI 1.17–6.01), and handgrip strength (HGS) (HR 4.22, 95% CI 2.05–8.70) were significant predictors of survival in the overall dialysis patient cohort. …”
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Aldehyde Dehydrogenase 2 rs671 Polymorphism is Associated with Susceptibility of Coronary Atherosclerosis in Patients with Hypertension by Hou H, Huang S, Huang W, Huang L, Zhang Z, Liang L

“…Logistic analysis showed that body mass index (BMI) ≥ 24.0 kg/m2 (odds ratio (OR): 1.670, 95% confidence interval (CI): 1.185– 2.352, p=0.003), history of smoking (OR: 2.024, 95% CI: 1.263– 3.243, p=0.003), ALDH2 rs671 G/A genotype (OR: 1.821, 95% CI: 1.280– 2.589, p=0.001), high TC (OR: 1.592, 95% CI: 1.021– 2.485, p=0.040), high SII (OR: 2.290, 95% CI: 1.386– 3.784, p=0.001), and high SIRI (OR: 1.727, 95% CI: 1.126– 2.650, p=0.012) were associated with coronary atherosclerosis in patients with hypertension.Conclusion: Overweight (BMI ≥ 24.0 kg/m2), history of smoking, ALDH2 rs671 G/A genotype, high TC, SII, and SIRI levels were associated risk factors for coronary atherosclerosis in patients with hypertension.Keywords: coronary atherosclerosis, hypertension, ALDH2, systemic immune inflammation index, system inflammation response index…”
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Burden of diseases attributable to excess body weight in 204 countries and territories, 1990–2019 by Saeid Safiri, Jessica A. Grieger, Amir Ghaffari Jolfayi, Seyed Ehsan Mousavi, Seyed Aria Nejadghaderi, Asra Fazlollahi, Mark J. M. Sullman, Nahid Karamzad, Fikrettin Sahin, Kuljit Singh, Gary S. Collins, Ali-Asghar Kolahi

“…For adults, EBW was defined as a body mass index (BMI) exceeding 25 kg/m2, while for children aged 1 to 19 years, EBW was determined according to the standards set by the International Obesity Taskforce. …”
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Correlation between liver fibrosis in non-alcoholic fatty liver disease and insulin resistance indicators: a cross-sectional study from NHANES 2017–2020 by Bo Yang, Mingsu Gong, Xiaojie Zhu, Yang Luo, Ruiqiu Li, Hai Meng, Yuhan Wang

“…Compared to non-LF patients, LF patients had significantly higher body mass index (BMI), waist circumference (WC), alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), HbA1c, and fasting blood glucose (FBG) levels (all p &lt; 0.05). …”
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