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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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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Thyroid Function in Korean Adolescents with Obesity: Results from the Korea National Health and Nutrition Examination Survey VI (2013–2015) by Won Kyoung Cho, Hyo-Kyoung Nam, Jae Hyun Kim, Young-Jun Rhie, Sochung Chung, Kee-Hyoung Lee, Byung-Kyu Suh

“…Study participants were classified into normal weight [body mass index (BMI) below 85th percentile, 80.7%], overweight (85th ≤ BMI< 95th percentile, 8.7%), and obesity (BMI ≥ 95th percentile, 10.6%). …”
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Impact of interpregnancy weight change on the risk of gestational diabetes mellitus during a second pregnancy in Chinese population: a retrospective cohort study by Ying Wang, Juan Yang, Chang Xu, Yuzhen Liu, Ao Yang, Shilin Zhong

“…Objectives This study aimed to investigate the impact of interpregnancy weight changes (IPWC) on the gestational diabetes mellitus (GDM) in the second pregnancy.Design A single-centre retrospective cohort study was conducted in China.Setting Data were collected in Peking University Shenzhen Hospital from 2013 January to 2021 February.Participants Participants include women who had two consecutive singleton deliveries after 28 gestational weeks (n=2372).Outcomes The GDM in the second pregnancy (s-GDM) was set as the outcome.Methods IPWC was defined as the change in body mass index between the first trimester of the second pregnancy and that of the first pregnancy, categorised into four groups with −1 kg/m² to &lt;1 kg/m² as the reference. …”
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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

“…Using this model, the five most important variables predicting 12-month abatacept retention were low body mass index (BMI), low American College of Rheumatology functional status class, anti-citrullinated protein antibody (ACPA) positivity, low Patient Global Assessment, and younger age. …”
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A novel nomogram to predict all‐cause readmission or death risk in Chinese elderly patients with heart failure by Mengxi Yang, Liyuan Tao, Hui An, Gang Liu, Qiang Tu, Hu Zhang, Li Qin, Zhu Xiao, Yu Wang, Jiaxai Fan, Dongping Feng, Yan Liang, Jingyi Ren

“…The independent risk factors associated with both 30 day and 1 year readmission or death were older age, stroke, diastolic blood pressure < 60 mmHg, body mass index ≤ 18.5 kg/m2, lower estimated glomerular filtration rate, and BNP > 400 pg/mL (all P < 0.05). …”
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Nissen-Sleeve procedure versus laparoscopic Roux-en-Y gastric bypass in patients with morbid obesity and gastro-oesophageal reflux disease: protocol for a non-inferiority randomise... by Jan A Apers, Martin Dunkelgrun, Ivonne Leeuwenburgh, Judith W H 't Hart, Bo J Noordman, Laser U Biter

“…Exclusion criteria are achalasia, neoplastic abnormalities diagnosed during endoscopy, super obesity (body mass index ≥50 kg/m2), Crohn’s disease and medical history of major abdominal surgery. …”
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The relationship between walking speed and changes in cardiovascular risk factors during a 12-day walking tour to Santiago de Compostela: a cohort study by Frank L J Visseren, Yolanda van der Graaf, Wilko Spiering, Remy H H Bemelmans, Paulus P Blommaert, Annemarie M J Wassink, Blai Coll

“…A 1 km/h higher walking speed was related to an increase in HDL-c (0.24; 95% CI 0.12 to 0.30 mmol/l), LDL-c (0.18; 95% CI −0.16 to 0.42 mmol/l) and total cholesterol (0.36; 95% CI 0.12 to 0.60 mmol/l), adjusted for age, gender, smoking, body mass index and heart rate, during the whole walking tour.Conclusions Walking the same distance faster improves HDL-c more, while LDL-c and total cholesterol decrease more with lower walking speed independent of changes in body weight in healthy middle-aged subjects.…”
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Tryptanthrin exerts anti-breast cancer effects both in vitro and in vivo through modulating the inflammatory tumor microenvironment by Zeng Qingfang, Luo Cairong, Cho Junlae, Lai Donna, Shen Xiangchun, Zhang Xiaoyan, Zhou Wei

“…According to the results from in vivo experiment, tryptanthrin was effective in inhibiting tumor growth, and it showed favorable safety without inducing the fluctuations of body mass and organ coefficient (p > 0.05). In addition, tryptanthrin also suppressed the expression levels of NOS1, COX-2 and NF-κB in mouse tumor tissues, and regulated those of IL-2, IL-10 and TNF-α in the serum of tumor cells-transplanted mice. …”
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Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis by Haoyuan Lyu, Na Fan, Hao Wen, Xin Zhang, Herong Mao, Qinglai Bian, Jiaxu Chen

“…Abstract Background This study aims to explore the interplay between body mass index (BMI), neutrophils, triglyceride levels, and uric acid (UA). …”
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