Trajectories of self-rated health in an older general population and their determinants: the Lifelines Cohort Study by Barbara C van Munster, Nynke Smidt, Sophia E de Rooij, Marlies Feenstra, Janet L MacNeil Vroomen

“…Covariates included demographics (age, gender, education), chronic diseases, health-risk behaviour (physical activity, smoking, drinking) and physiological markers (body mass index, cardiovascular function, lung function, glucose metabolism, haematological condition, endocrine function, renal function, liver function and cognitive function).Results Four stable trajectories were identified, including excellent (n=607, 6%), good (n=2111, 19%), moderate (n=7677, 65%) and poor SRH (n=1205, 10%). …”
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Photobiomodulation on Bax and Bcl-2 Proteins and SIRT1/PGC-1α Axis mRNA Expression Levels of Aging Rat Skeletal Muscle by Fang-Hui Li, Yan-Ying Liu, Fei Qin, Qing Luo, Hai-Ping Yang, Quan-Guang Zhang, Timon Cheng-Yi Liu

“…Gastrocnemius muscle weights, gastrocnemius mass/body mass, Bcl-2/BAX ratio, Bcl-2 protein, IGF-1 protein, and the mRNA contents in SIRT1, PGC-1α, NRF1, TMF, and SOD2 were significantly (P<0.05) increased by LLLI compared to CON group without LLLI. …”
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Relationship of serum irisin levels, physical activity, and metabolic syndrome biomarkers in obese individuals with low-calorie intake and non-obese individuals with high-calorie i... by Jalal Hejazi, Bijan Ghobadian, Nasrin Ghasemi, Hossein Sadeh, Nasim Abedimanesh, Mehran Rahimlou

“…We observed a noteworthy and favorable association between irisin concentration and total body water (TBW), lean body mass (LBM), and soft lean mass (SLM) in the non-obese group. …”
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Evaluation of Preptin and other Biomarkers in Coronary Artery Disease Patients with and without Diabetes Mellitus by Saja T. Yassen, Layla O. Farhan

“…The waist-to-hip ratio (WHR) and body mass index (BMI) were also computed. There was a significance level below 0.05 using the Mann-Whitney tests. …”
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Causal relationships between plasma lipidome and diabetic neuropathy: a Mendelian randomization study by Zhaoxiang Wang, Zhong Liu, Qichao Yang, Qichao Yang, Huibo Qiao, Huibo Qiao, Yong Yin, Yong Yin, Zhiyong Zhao, Zhiyong Zhao, Xuejing Shao, Xuejing Shao

“…Further multivariable MR (MVMR) analysis demonstrated the effect of genetically predicted phosphatidylcholine (16:1_18:1) remained after adjusting for body mass index (BMI) and glycated hemoglobin (HbA1c). …”
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The association between lipid-related obesity indicators and severe headache or migraine: a nationwide cross sectional study from NHANES 1999 to 2004 by Xu Sun, Jimei Song, Rixun Yan, Jianwei Diao, Yibo Liu, Zhangzhi Zhu, Weichi Lu

“…Methods After the values of waist-to-height ratio (WHtR), body-mass index (BMI), body roundness index (BRI), visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose index (TyG), cardiac metabolism index (CMI), waist triglyceride Index (WTI), conicity index (CI) and weight-adjusted waist index (WWI) were estimated, with minimal sufficient adjustment for confounders determined by directed acyclic graph (DAG), weighted univariable and multivariable logistic regression analyses were carried out to ascertain the relationship between them and migraine. …”
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Evaluating the effects of time-restricted eating on overweight and obese women with polycystic ovary syndrome: A randomized controlled trial study protocol. by Hui Liu, Fuliang Shangguan, Fen Liu, Yu Guo, Huixi Yu, Hanbing Li, Yinhua Su, Zhongyu Li

“…The primary outcomes, including changes in weight and body mass index (BMI), will be assessed weekly. Secondary outcomes, encompassing alterations in sex hormones, metabolic parameters, body composition, sleep quality, quality of life, anxiety, and depression, will be evaluated monthly. …”
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Causal links between obesity, lipids, adipokines, and cognition: a bidirectional Mendelian-randomization analysis by Meng Gong, Haichao Liu, Zhixiang Liu, Yongshen Wang, Shiyi Qi, Hong Guo, Song Jin

“…BackgroundThe aim of this study was to explore the genetic level association between obesity, lipids, adipokines, and cognitive ability using bidirectional Mendelian randomization (MR) strategies.MethodsSummary data for three obesity indicators [body mass index (BMI), body fat percentage (BFP) and waist-hip ratio (WHR)], three lipid indicators [HDL cholesterol (HDL), LDL cholesterol (LDL) and triglycerides (TG)], three adipokines [circulating leptin (LEP), Agouti-related protein (AgRP) and Adiponectin (APDN)], and four cognitive ability indicators [cognitive function (CF), cognitive performance (CP), simple reaction time (SRT) and fluid intelligence score (FIS)] were collected. …”
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Decreased Sex Hormone-Binding Globulin Indicated Worse Biometric, Lipid, Liver, and Renal Function Parameters in Women with Polycystic Ovary Syndrome by Xi Luo, Xin-Ming Yang, Wang-Yu Cai, Hui Chang, Hong-Li Ma, Yan Peng, Xiao-Ke Wu

“…In comparative analyses, PCOS women with lower SHBG levels had higher body mass index, waist circumference, insulin, homeostatic model assessment-insulin resistance (HOMA-IR) index, systolic and diastolic blood pressure, triglycerides, apolipoprotein B (APOB), low-density lipoprotein (LDL), aspartate transferase (AST), alanine transferase (ALT), and blood urea nitrogen (BUN), but lower high-density lipoprotein (HDL) and apolipoprotein A1 (APOA1). …”
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Associations between surrogate insulin resistance indexes and osteoarthritis: NHANES 2003–2016 by Youmian Lan, Qiongbing Zheng, Meijing Li, Jiexin Chen, Dongyang Huang, Ling Lin

“…TyG, glucose triglyceride-waist circumference (TyG-WC), glucose triglyceride-body mass index (TyG-BMI), glucose triglyceride-waist height ratio (TyG-WHtR), VAI and LAP were significantly and positively associated with the prevalence of OA (all p < 0.01). …”
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Changes in Vitamin D Status in Overweight Middle-Aged Adults with or without Impaired Glucose Metabolism in Two Consecutive Nordic Summers by Petra Lundström, Kenneth Caidahl, Maria J. Eriksson, Tomas Fritz, Anna Krook, Juleen R. Zierath, Anette Rickenlund

“…Methods. 158 participants from Sweden (87 women, 71 men; mean age, 60 ± 5 y; body mass index ≥ 25 kg/m2) and 25[OH]D were measured and evaluated in relation to normal or impaired glucose tolerance, body composition, and dietary habits during summer season. …”
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Blood lead levels and bladder cancer among US participants: NHANES 1999–2018 by Mei Huang, Hongxiao Li, Jiahui Chen, Liuqiang Li, Yifei Zhan, Yuxuan Du, Jun Bian, Meiling Chen, Dehui Lai

“…Results This study included a total of 40,486 participants, the body mass index (BMI) of the participants is 28.71 ± 6.68 kg/m2. …”
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Anthropometric and Body Composition Measurements Related to Osteoporosis in Geriatric Population by Sadiye Murat, Bilinç Doğruöz Karatekin, Filiz Demirdağ, Esma Nur Kolbaşı

“…Objective: This study aimed to evaluate different anthropometric and body composition measurements, including weight, body mass index (BMI), body fat percentage (fat%), skeletal muscle index (SMI), a body shape index (ABSI), waist circumference (WC), and hip circumference (HC), in relation to bone mineral density. …”
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Sex-based differences in lung cancer susceptibility and molecular genetics in the 2020s by Berta Mosleh, Pavla Sarova, Sonja Zehetmayer, Felicitas Oberndorfer, Joachim Widder, Helmut Prosch, Marco Idzko, Clemens Aigner, Mir Alireza Hoda, Daniela Gompelmann

“…There were no significant differences in age at diagnosis, body mass index, lung function parameters, histological subtypes, PD-L1 protein expression, disease stage, and survival between men and women (all p > 0.05). …”
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The Association of General and Central Obesity with Dietary Patterns and Socioeconomic Status in Adult Women in Botswana by Boitumelo Motswagole, Jose Jackson, Rosemary Kobue-Lekalake, Segametsi Maruapula, Tiyapo Mongwaketse, Lemogang Kwape, Tinku Thomas, Sumathi Swaminathan, Anura V. Kurpad, Maria Jackson

“…The dietary patterns were identified using principal component analysis, and their associations with the body mass index and the weight-for-height ratio were examined. …”
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Efficacy and Safety of the Triple Therapy Containing Ilaprazole, Levofloxacin, and Amoxicillin as First-Line Treatment in Helicobacter pylori Infections by Hyo Jun Ahn, Dong Pil Kim, Myeong Su Chu, Hyeon Jeong Yun, Seok-Hwan Kim, Seung Woo Lee, Dong Soo Lee

“…Demographic factors such as age, gender, body mass index (BMI), alcohol, smoking, hypertension, diabetes mellitus, and peptic ulcer did not affect the eradication rate. …”
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Serum Cystatin C, Markers of Chronic Kidney Disease, and Retinopathy in Persons with Diabetes by Chee Wai Wong, Boon Wee Teo, Ecosse Lamoureux, Mohammad Kamran Ikram, Jie Jin Wang, E. Shyong Tai, Sunil Sethi, Tien Yin Wong, Charumathi Sabanayagam

“…The associations of CKD defined by each of the three markers alone and in combination with moderate DR were examined using logistic regression models adjusted for potential confounding factors including duration of diabetes, smoking, body mass index, systolic blood pressure, and HbA1c. …”
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Intrauterine metformin exposure and adiposity outcomes in children: a systematic review and meta-analysis by George Tomlinson, Jill Hamilton, Kellie E Murphy, Jennifer Fu, Najla Tabbara, Denice S Feig

“…At the oldest age of follow-up reported (weighted mean age of 4.4 years), children with metformin exposure for any maternal indication had comparable body mass index (BMI) with their non-exposed peers (standardised mean difference (SMD) −0.02; 95% CI: −0.11, 0.07; low certainty). …”
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Lifestyle scores and their potential to estimate the risk of multiple non-communicable disease-related endpoints: a systematic review by Jie Ding, Ruojin Fu, Tanwei Yuan, Hermann Brenner, Michael Hoffmeister

“…., blood pressure, blood glucose, and waist circumference) aside from major risk factors (i.e., Body Mass Index (BMI), smoking, and diet) seemed to have a stronger ability to estimate NCDs risk than scores including only major risk factors. …”
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Associations between lifestyle factors and COVID-19 infection rates: a cross-sectional analysis in the USA by Abdullah Alismail, Razaz Shaheen, W Lawrence Beeson, Michael Paalani, Hildemar Dos Santos, Rhonda K Spencer-Hwang

“…Excluding individuals under 18 or residing outside the USA, the survey captured data on diet, body mass index, smoking status, alcohol consumption, physical activity, sleep duration, COVID-19 infection status, socio-demographics and other potential confounders. …”
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