Hubungan Aktivitas Fisik terhadap Kadar Hemoglobin pada Mahasiswa Anggota UKM Pandekar Universitas Andalas by Laura Kosasi, Fadil Oenzil, Amel Yanis

“…Study of correlation between physical activity and hemoglobin level at students of UKM Pandekar’s members; University of Andalas has been conducted at April 2013 in PKM University of Andalas Padang at students of UKM Pandekar’s members University of Andalas with normal Body Mass Index and not smoking. The study did by measuring the hemoglobin levels and filling the questionnaires of physical activity levels based on three scores, that works index score, sports index score, and free time index score. …”
Get full text

Risk of All-Cause Mortality in US Adults With Preserved Ratio Impaired Spirometry: An Observational Study by Xiao S, Ou J, Qiu W, Ye C, Li N, Chen S, Lai Y, Deng Z, Wu F, Shen Y

“…Subgroup analyses by sex, age, smoking status, race, body mass index, level of education, poverty-to-income ratio, respiratory symptoms, and comorbidities were performed in participants with the different spirometry classifications.Results: Overall, 24,691 participants were included, with a median follow-up time of 25.7 years. …”
Get full text

Evaluating the use of coronary artery calcium scoring as a tool for coronary artery disease (CAD) risk stratification and its association with coronary stenosis and CAD risk factor... by Afrose Liaquat, Ameerdad Khan, Saeed Ullah Shah, Hania Iqbal, Safa Iqbal, Atif Iqbal Rana, Habib Ur Rahman

“…The study population was analysed for presence of conventional risk factors (gender, age, diabetes, hypertension, body mass index, dyslipidaemia) and association with CACS (zero: n=534; minimal: 0 to ≤10, n=70; mild: >10 to ≤100, n=130; moderate: >100 to ≤400, n=118; and severe: >400, n=49). …”
Get full text

Anthropometric and metabolic parameters associated with visceral fat in non-obese type 2 diabetes individuals by Ming Jiao, Jiaoli Chen, Xiaoling Wang, Wenyu Tao, Yunhua Feng, Huijun Yang, Haiying Yang, Shanshan Zhao, Ying Yang, Yiping Li

“…Abstract Background and Aim Visceral fat (VF) was proved to be a more precise predictor of atherosclerotic cardiovascular disease (ASCVD) risk in individuals with type 2 diabetes mellitus (T2DM) than body mass index (BMI) itself. Even when the BMI was normal, visceral fat area (VFA) ≥ 90 cm² could raise the ten-year risk of developing ASCVD. …”
Get full text

Relationship between obesity indicators and hypertension–diabetes comorbidity among adults: a population study from Central China by Li Li, Ling Li, Ying Wang, Wenwen Wu, Xiaodong Tan, Fen Yang, Jinru Yang, Yifan Wu, Donghan Sun, Ziling Ni, Yaofei Xie

“…Eventually, 25 356 participants were available for the present analysis.Main outcome measures Data were subjected to univariable and multivariable logistic regression to examine the association between obesity indicators (body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR)) and HDC prevalence. …”
Get full text

The Age-Specific Association of Waist Circumference and Risk of Chronic Kidney Disease in Patients with Type 2 Diabetes Mellitus in Shandong, China by Lingling Xu, Weihong Yu, Ping Huang, Chunying Li, Yan Li, Meng Wang, Qun Xu, Jing Wang, Caixia Zheng, Bin Qu, Yanping Zhao, Meng Niu, Ou Wang, Fengying Gong

“…To examine the association of three most common obesity measures including body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) with chronic kidney disease (CKD) risk in patients with type 2 diabetes mellitus (T2D). …”
Get full text

Three-way relationships between gut microbiota, helminth assemblages and bacterial infections in wild rodent populations by Bouilloud, Marie, Galan, Maxime, Dubois, Adelaide, Diagne, Christophe, Marianneau, Philippe, Roche, Benjamin, Charbonnel, Nathalie

“…We found geographic variations of the Firmicutes/Bacteroidetes ratio, that correlated positively with body mass index. We found positive correlations between the specific richness of the gut bacteriota and of the helminth community, as well as between the composition of these two communities, even when accounting for the influence of geographical distance. …”
Get full text

Increased DHEAS and Decreased Total Testosterone Serum Levels in a Subset of Men with Early-Onset Androgenetic Alopecia: Does a Male PCOS-Equivalent Exist? by Rossella Cannarella, Rosita A. Condorelli, Federica Dall’Oglio, Sandro La Vignera, Laura M. Mongioì, Giuseppe Micali, Aldo E. Calogero

“…Among men with AGA, we identified Group 1 (n = 21), as those with at least one of the following parameters: body mass index (BMI) >25 kg/m2, insulin resistance (IR), and/or SHBG <25 nmol/l. …”
Get full text

Probiotics supplementation for management of type II diabetes risk factors in adults with polycystic ovarian syndrome: a meta-analysis of randomized clinical trial by Chengcheng Zhang, Yingyue Sheng, Jinchi Jiang, Yuzheng Xue, Leilei Yu, Fengwei Tian, Jianxin Zhao, Hao Zhang, Jian Jin, Qixiao Zhai

“…The FBG-reducing effect decreased as the baseline body mass index (BMI) and mean age of the participants increased. …”
Get full text

Catheter ablation versus antiarrhythmic drugs with risk factor modification for treatment of atrial fibrillation: a protocol of a randomised controlled trial (PRAGUE-25 trial) by Stepan Havranek, Jiri Jarkovsky, Otakar Jiravský, Pavel Osmancik, Veronika Bulková, Jan Chovančík, Tomáš Roubíček, Dalibor Heřman, Zuzana Čarná, Vladimír Tuka, Martin Matoulek, Martin Fiala, Sylvie Stregl-Hruskova, Adam Latiňák, Jiřina Kotryová

“…Patients with symptomatic AF and a body mass index &gt;30 will be enrolled and randomised to the CA or RFM arm (RFM+AAD) in a 1:1 ratio. …”
Get full text

Endogenous sex hormone levels are associated with the revised Framingham Stroke Risk Profile in postmenopausal women: a longitudinal study in a Swedish cohort by Kristin Ottarsdottir, Åsa Tivesten, Claes Ohlsson, Ying Li, Margareta Hellgren, Ulf Lindblad, Bledar Daka

“…Regression analyses of log-transformed rFSRP were fitted against levels of sex hormones (17-α-OH-progesterone, estrone, estradiol, progesterone, dihydrotestosterone, dehydroepiandrosterone, testosterone and androstenedione), adjusting for body mass index (BMI) or waist-to-hip ratio (WHR), C-reactive protein (CRP) and cholesterol level. …”
Get full text

Dietary Beliefs and Their Association with Overweight and Obesity in the Spanish Child Population by María Teresa Murillo-Llorente, Alma María Palau-Ferrè, María Ester Legidos-García, Javier Pérez-Murillo, Francisco Tomás-Aguirre, Blanca Lafuente-Sarabia, Adalberto Asins-Cubells, Miriam Martínez-Peris, Ignacio Ventura, Jorge Casaña-Mohedo, Marcelino Pérez-Bermejo

“…Statistical analyses were used to identify associations between dietary beliefs and body mass index. Results: In total, 29.5% of participants were overweight or obese. …”
Get full text

Analysis of influencing factors of washed microbiota transplantation in treating patients with metabolic syndrome by De-Jiang Lin, Dong-Xia Hu, Qing-Ting Wu, Lin-Gui Huang, Zi-Han Lin, Jia-Ting Xu, Xing-Xiang He, Lei Wu, Lei Wu

“…Not only the changes in body mass index [BMI = weight (kg)/height (m)2], blood glucose, blood lipids, and blood pressure were analyzed, but also the influencing factors of WMT in treating MS patients were carried out based on Logistic Regression. …”
Get full text

Mechanisms of the Effect of Starvation Duration on the Regulation of Feeding Rhythm and Metabolic Physiology of Cultured Large Yellow Croaker (<i>Larimichthys crocea</i>) by Xiaomeng Wang, Huang Liu, Chenglin Zhang, Chen Zhu, Huiyi Liu

“…Therefore, in order to further promote the technological advancement of large yellow croaker in the field of deep-sea aquaculture, this experiment aimed to investigate the effects of varying starvation durations on the feeding rhythm and physiological state of large yellow croaker. With an initial body mass of 122.62 ± 11.08 g and a body length of (17.9 ± 1.04) cm as the samples, the experiment was divided into five groups, which were starved for 0 d (S0), 2 d (S2), 4 d (S4), 8 d (S8), and 16 d (S16) before resumption of feeding. …”
Get full text

Correlations between Traditional and Nontraditional Indicators of Adiposity, Inflammation, and Monocyte Subtypes in Patients with Stable Coronary Artery Disease by Silvia Bueno Garofallo, Vera Lucia Portal, Melissa Medeiros Markoski, Lucinara Dadda Dias, Alexandre Schaan de Quadrosa, Aline Marcadenti

“…Traditional anthropometric indicators of adiposity (body mass index (BMI); waist, hip, and neck circumferences; and waist-hip ratio) and nontraditional anthropometric indicators of adiposity (lipid accumulation product index (LAP), visceral adiposity index (VAI), and deep-abdominal-adipose-tissue index (DAAT)) were determined. …”
Get full text

Multi-omics architecture of childhood obesity and metabolic dysfunction uncovers biological pathways and prenatal determinants by Nikos Stratakis, Augusto Anguita-Ruiz, Lorenzo Fabbri, Léa Maitre, Juan R. González, Sandra Andrusaityte, Xavier Basagaña, Eva Borràs, Hector C. Keun, Lida Chatzi, David V. Conti, Jesse Goodrich, Regina Grazuleviciene, Line Småstuen Haug, Barbara Heude, Wen Lun Yuan, Rosemary McEachan, Mark Nieuwenhuijsen, Eduard Sabidó, Rémy Slama, Cathrine Thomsen, Jose Urquiza, Theano Roumeliotaki, Marina Vafeiadi, John Wright, Mariona Bustamante, Martine Vrijheid

“…Further, by incorporating comprehensive information from the environmental risk-scape of the critical pregnancy period, we identify pre-pregnancy body mass index and environmental pollutants like perfluorooctanoate and mercury as important determinants of the high-risk cluster. …”
Get full text

Pharmacological and Toxicological Threshold of Bisammonium Tetrakis 4-(N,N-Dimethylamino)pyridinium Decavanadate in a Rat Model of Metabolic Syndrome and Insulin Resistance by Samuel Treviño, Alfonso Díaz, Eduardo Sánchez-Lara, Víctor Enrique Sarmiento-Ortega, José Ángel Flores-Hernández, Eduardo Brambila, Francisco J. Meléndez, Enrique González-Vergara

“…Then, an improvement on each of the following parameters was observed at a 5 µmol dose: weight reduction, abdominal perimeter, fatty index, body mass index, oral glucose tolerance test, lipid profile, and adipokine and insulin resistance indexes. …”
Get full text

Tomographic features of lung damage associate with D-Dimer levels and further clinical outcome in patients with acute respiratory distress syndrome due to COVID-19 by Juan Antonio Suárez-Cuenca, José Fernando Flores-Zaleta, Leslie Andrea Corona-Rojas, Pablo Guzmán-Rullán, Luis Alfonso Camacho-Barajas, Uzziel Aguilera-Ontiveros, Alberto Melchor-López, Alejandro González-Mora, Perla Marlene Guzmán-Ramírez, Janicia Rodríguez-Solis

“…Larger lung damage was associated with older age, male gender and higher pro-inflammatory mediators like leukocytes and ferritin; whilst consolidation pattern was related to higher Body Mass Index. Higher values of D-Dimer were related either to a larger extent of lung involvement or late consolidation pattern. …”
Get full text

Associations between night-time sleep duration and fasting glucose and ratio of triglyceride to high-density lipoprotein cholesterol among adults free of type 2 diabetes or without... by Rong Zhang, Li Zhang, Qiang Li, Minying Zhang, Feng Liu, Shuo Chen, Yu-Jie Niu, Xin Qi, Chunjun Li, Jiangshan He, Chenglin Hong, Yuxue Wang, Yaqi Fan, Pei Guo, Binbin Zhang, Shitao Ma, Mianzhi Zhang

“…Objectives We aimed to assess the associations between night-time sleep duration and fasting glucose (FG), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio and body mass index (BMI) among adults free of type 2 diabetes (T2D) or without diagnosed T2D.Design Cross-sectional study.Setting Medical examination centres at six hospitals in Beijing-Tianjin-Hebei region, China.Participants Participants were recruited via multistage, stratified cluster sampling. …”
Get full text

Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…Additionally, we developed an algorithm for the calculation of T-Score calculated as (measurement value-Young adult mean)/(Young adult SD) using the Aggregation Pipeline by MongoDB, with the mean and standard deviation for skeletal muscle area (SMA), SMA/height2, SMA/weight, and SMA/body mass index (BMI) for both sexes and different age groups. …”
Get full text