Prevalence and associated factors of metabolic syndrome among people living with HIV in a medical center of Northern Taiwan by Chien-An Tu, Chien-Feng Kuo, Chun-Ming Lee, Chang-Pan Liu, Hsiang-Kuang Tseng, Tseng-Yu Huang, Chih-Chen Lin, Hsun Chang, Winter Yu-Ning Lee, Fang-Ju Sun, Zu-Yi Sun, Pei-Ching Lian, Ming-Wei Cheng, Alice Ying-Jung Wu

“…A modified National Cholesterol Education Program ATP III definition of metabolic syndrome was used to define metabolic syndrome and body mass index was used as surrogate for waist circumference. 809 PLWH participated in the study, in which 81.3% of patients were on integrase inhibitor-based HAART regimen. …”
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Children’s Eating Behavior Questionnaire Correlated with Body Compositions of Thai Children and Adolescents with Obesity: A Pilot Study by Ekkarit Panichsillaphakit, Yuda Chongpison, Puthita Saengpanit, Tanisa Kwanbunbumpen, Jaraspong Uaariyapanichkul, Sirinuch Chomtho, Chitsanu Pancharoen, Chonnikant Visuthranukul

“…Eating behaviors were assessed by the Children’s Eating Behavior Questionnaire (CEBQ), which is a parent or self-reported research instrument conducted by face-to-face interviews. Body mass index (BMI), BMI-for-age Z-score, waist and hip circumferences, and body compositions were assessed. …”
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Development of a core outcome set for school-based intervention studies on preventing childhood overweight and obesity: study protocol by Mai Chinapaw, Teatske M Altenburg, Tessa J Roseboom, Jo Salmon, Deirdre Harrington, Lotte W de Vries, Iris Grooten, Janneke Van 't Hooft, Arend van Deutekom

“…Next, an expert panel will identify all unique outcomes (eg, body composition) from the results of the scoping review and focus groups, ruling out how outcomes were defined and measured (eg, body mass index, body fat). In the next phase, a group of international stakeholders will participate in a Delphi study in which they will rate all unique outcomes on a 9-point Likert scale over three rounds to reach consensus on a COS. …”
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Prevalence, Awareness, and Treatment of Hypertension in Patients with Type 1 Diabetes: A Nationwide Multicenter Study in Brazil by Marilia B. Gomes, Lucianne Righeti Monteiro Tannus, Alessandra Saldanha de Mattos Matheus, Roberta Arnoldi Cobas, Catia C. Sousa Palma, Aline Tiemi Kano Silva, Carlos Antonio Negrato, Sergio Atala Dib, Melanie Rodacki, João Soares Felício, Luis Henrique Canani

“…Hypertensive patients were older, exhibited longer duration of diabetes, and had higher body mass index (BMI), total cholesterol, triglycerides, and LDL-C values (P<0.001, for all comparisons), but only 370 (53.7%) received treatment. …”
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Prevalence of anaemia and its associated factors among HIV-infected adults at the time of ART initiation at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia: a r... by Agazhe Aemro, Belayneh Shetie Workneh, Enyew Getaneh Mekonen, Mulugeta Wassie, Basazinew Chekol

“…After multivariate analysis, an increased risk of anaemia was seen among males (adjusted OR (AOR)=2.45; 95% CI: 1.51 to 3.98); those not attending formal education (AOR=2.38; 95% CI: 1.12 to 5.05); those who had baseline CD4+ T cell count ≤200 cells/mm3 (AOR=4.67; 95% CI: 2.78 to 7.85); had body mass index (BMI) &lt;18.5 kg/m2 (AOR=2.43; 95% CI: 1.42 to 4.16) and had ambulatory/bedridden baseline functional status (AOR=2.69; 95% CI: 1.41 to 5.12).Conclusion The current study showed that a significant proportion of HIV-infected adults developed anaemia at the time of ART initiation. …”
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The influencing factors of the erythropoietin resistance index and its association with all-cause mortality in maintenance hemodialysis patients by Xinju Zhao, Liangying Gan, Fan Fan Hou, Xinling Liang, Xiaonong Chen, Yuqing Chen, Zhaohui Ni, Li Zuo

“…Multivariate logistic regression showed that dialysis vintage (OR 0.957, 95% CI: 0.929–0.986), white blood cells (OR 0.900, 95% CI: 0.844–0.960), high flux dialyzer use (OR 0.866, 95% CI: 0.755–0.993), body mass index (OR 0.860, 95% CI: 0.828–0.892), males (OR 0.708, 95% CI: 0.625–0.801), and albumin (OR 0.512, 95% CI: 0.389–0.673) had a negative association with high ERI baseline (all p < 0.05). …”
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Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

“…We tracked allele frequency changes as a function of viability across different age bins and prioritized 34 variants with an immediate implication on lipid metabolism, body mass index (BMI), and cognitive performance, among other traits, revealed by PheWAS analysis in the UK Biobank. …”
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Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach by Dongmei Pei, Chengpu Zhang, Yu Quan, Qiyong Guo

“…Nine variables, including age, gender, body mass index (BMI), hypertension, history of cardiovascular disease or stroke, family history of diabetes, physical activity, work-related stress, and salty food preference, were considered. …”
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Serum N-Glycan Profiling Predicts Prognosis in Patients Undergoing Hemodialysis by Shingo Hatakeyama, Maho Amano, Yuki Tobisawa, Tohru Yoneyama, Megumi Tsushima, Kazuko Hirose, Takahiro Yoneyama, Yasuhiro Hashimoto, Takuya Koie, Hisao Saitoh, Kanemitsu Yamaya, Tomihisa Funyu, Shin-Ichiro Nishimura, Chikara Ohyama

“…Cox regression multivariate analysis showed cardiovascular events, body mass index, maximum intima media thickness, and the serum N-glycan intensity of peak number 49 were predictive indicators for overall survival. …”
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Ethnic inequalities in mental and physical multimorbidity in women of reproductive age: a data linkage cohort study by Amelia Jewell, Matthew Broadbent, Stephani Hatch, Mark Ashworth, Megan Pritchard, Sarah Dorrington, Louise Howard, Raquel Catalao

“…Objectives Explore inequalities in risk factors, mental and physical health morbidity in non-pregnant women of reproductive age in contact with mental health services and how these vary per ethnicity.Design Retrospective cohort study.Setting Data from Lambeth DataNet, anonymised primary care records of this ethnically diverse London borough, linked to anonymised electronic mental health records (‘CRIS secondary care database’).Participants Women aged 15–40 years with an episode of secondary mental health care between January 2008 and December 2018 and no antenatal or postnatal Read codes (n=3817) and a 4:1 age-matched comparison cohort (n=14 532).Main outcome measures Preconception risk factors including low/high body mass index, smoking, alcohol, substance misuse, micronutrient deficiencies and physical diagnoses.Results Women in contact with mental health services (whether with or without severe mental illness (SMI)) had a higher prevalence of all risk factors and physical health diagnoses studied. …”
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Combination of autoimmune hepatitis to non-alcoholic steatohepatitis (Clinical case) by A. A. Driga, M. V. Mayevskaya, V. T. Ivashkin

“…In physical status asthenia, body mass index of 49,8 kg/m2, subicteric sclerae drawn attention. …”
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Mortality and Its Predictors among Adult Human Immune-Deficiency Virus-Infected Patients Attending Their Antiretroviral Treatment at Health Centers, Addis Ababa, Ethiopia: Multicen... by Selam Tesfayohannes, Sisay Shine, Abinet Mekuria, Sisay Moges

“…Age category over 50, TB comorbidity, WHO stage IV, lack of medication adherence, co-trimoxazole therapy, body mass index under 18.5 kg/m2, and CD4 cell count under 200/dl were predictors of mortality. …”
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AMH Is a Good Predictor of Metabolic Risk in Women with PCOS: A Cross-Sectional Study by Miaoxian Ou, Pei Xu, Han Lin, Kaichi Ma, Mingxing Liu

“…AMH was negatively associated with HOMA-IR (odds ratio (OR) −0.279, 95% confidence interval (CI) −0.36 to −0.20), fasting insulin (OR −0.282, 95% CI −0.36 to −0.20), 1-hour postprandial insulin (OR −0.184, 95% CI −0.28 to −0.11), 2-hour postprandial insulin (−0.180, 95%CI −0.28 to −0.11), 3-hour postprandial insulin (OR −0.198, 95% CI –0.30 to −0.13), waist-hip ratio (OR −0.235, 95% CI −0.31 to −0.14), and body mass index (OR −0.350, 95% CI −0.43 to −0.27). There was no statistically significant relationship between blood pressure, serum glucose profile, or lipid levels and AMH. …”
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Time in Range, as a Novel Metric of Glycemic Control, Is Reversely Associated with Presence of Diabetic Cardiovascular Autonomic Neuropathy Independent of HbA1c in Chinese Type 2 D... by Qingyu Guo, Pu Zang, Shaoying Xu, Wenjing Song, Zhen Zhang, Chunyan Liu, Zhanhong Guo, Jing Chen, Bin Lu, Ping Gu, Jiaqing Shao

“…The logistic regression was applied to analyze the relationship between TIR and CAN by adjusting for the age, duration of diabetes, sex, lipid situation, serum creatinine, body mass index, blood pressure, HbA1c (%), and other glycemic variability (GV) metrics. …”
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Overweight and obesity among adolescents: health-conscious behaviours, acceptance, and the health behaviours of their parents by Anna Lewandowska, Grzegorz Rudzki, Tomasz Lewandowski, Anna Bartosiewicz, Michał Próchnicki, Aleksandra Stryjkowska-Góra, Barbara Laskowska, Małgorzata Sierpińska, Sławomir Rudzki, Sergii Pavlov

“…The study used a questionnaire, body mass index assessment, physical activity assessment, and a health behaviour inventory. …”
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Cross-Sectional Relationship between Carotid-Femoral Pulse Wave Velocity and Biomarkers in Vascular-Related Diseases by Jinbo Liu, Kuanting Wang, Huan Liu, Hongwei Zhao, Wei Huang, Na Zhao, Lihong Li, Hongyu Wang

“…Multivariate analysis showed that pulse pressure, age, fasting plasma glucose, diastolic blood pressure, body mass index, and Log UAE were independent associating factors of CFPWV in all subjects (β = 0.334, p<0.001; β = 0.333, p<0.001; β = 0.126, p=0.004; β = 0.137, p=0.003; β = −0.142, p=0.002; and β = 0.098, p=0.031). …”
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Postpartum depression in relation to chronic diseases and multimorbidity in women’s mid-late life: a prospective cohort study of UK Biobank by Yue Zhang, Yangyang Cheng, Rodrigo M. Carrillo-Larco, Yaguan Zhou, Hui Wang, Xiaolin Xu

“…We observed no interaction or mediation effects of physical activity, smoking, alcohol drinking, and dietary factors on the association between PPD and multimorbidity; however, women’s body mass index at baseline contributed to the association, with the mediation proportion of 6.38% (2.56–10.20%). …”
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Are noise and air pollution related to the incidence of dementia? A cohort study in London, England by Derek G Cook, Frank J Kelly, Iain M Carey, H Ross Anderson, David P Strachan, Richard W Atkinson, Sean D Beevers, David Dajnak, John Gulliver

“…HRs from Cox models were adjusted for age, sex, ethnicity, smoking and body mass index, with further adjustments explored for area deprivation and comorbidity.Results 2181 subjects (1.7%) received an incident diagnosis of dementia (39% mentioning Alzheimer’s disease, 29% vascular dementia). …”
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Retrospective cross-sectional study on bronchiectasis in adult Aboriginal Australians: disease characteristics and comparison with ethnically diverse global bronchiectasis registry... by Timothy Howarth, Subash Heraganahally, Claire Gibbs, Lata Jayaram, Asanga Abeyaratne, Shiidheshwar J Ravichandran, Davaadorj Erdenebayar, Winnie Chen, Hubertus Jersmann

“…In comparison with international and non-Aboriginal Australian national cohorts, Aboriginal Australians were younger (median 56 years (IQR (48, 65)); however, sex distribution (55% female) and body mass index (23 kg/m2 (IQR 19.4–27)) were comparable . …”
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…The strongest predictors of readmission were body mass index (> 33.5 kg/m2), age (> 69 years), and male sex. …”
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