Long-term risk factors for developing Barrett’s oesophagus in patients with gastro-oesophageal reflux disease: a longitudinal cohort study by John F Dillon, Paul Brennan, James Cotton, James Carberry, Christopher J Byrne

“…Most were Caucasian (n=1188, 99%), had no formal educational qualifications (n=714; 59.6%) and lived with overweight (mean body mass index >25 kg/m2). Many lived in areas of least socioeconomic resource (n=568; 47.4%). 139 (11.6%) had BO at baseline. …”
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Assessment of factors predicting the nutritional status of geriatric people in Tabuk, Saudi Arabia by Samar Lafi Aljohani

“…Compared with participants who were living alone, those living with their spouse were at 86% lower risk for malnutrition (aOR: 0.14, 95% CI: 0.03–0.62, P = 0.010). Overweight and obese subjects were at significant lower risk for malnutrition as compared to underweight subjects (aOR: 0.04, 95% CI: 0.01–0.44, P = 0.008 and aOR: 0.05, 95% CI: 0.01–0.54, P = 0.013, respectively). …”
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Status of sleeping habits and its influence on growth and metabolism of children in Beijing: a population-based cross-sectional study by Yiren Chen, Lijun Wu, Zijun Liao, Yiying Huang, Qin Liu, Shaoli Li, Junting Liu, Xinnan Zong, Jun Tai, Fangfang Chen

“…Logistic regression analysis showed that insufficient sleep was associated with FMP, WHtR, and overweight/obesity in children aged 6–11 years (p < 0.05). …”
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mHealth Intervention for Dementia Prevention through lifestyle Optimisation (MIND-PRO) in a primary care setting: protocol for a randomised controlled trial in people with low SES... by Edo Richard, Esther Van den Berg, Ron Handels, Henrike Galenkamp, Eric P Moll van Charante, Marieke P Hoevenaar-blom, Anne Roos van der Endt, Martien J H Kas

“…Entry criteria include age 50–75 years, low SES and/or migration background, one or more dementia risk factors (hypertension, dyslipidaemia, diabetes mellitus, physical inactivity, smoking, depression and overweight) or manifest cardiovascular disease and possession of a smartphone. …”
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Contemporary Results of Transcatheter Aortic Valve Replacement in Obese Patients by T. Owais, M. El Garhy, P. Lauten, M. Haensig, H. Lapp, P. C. Schulze, T. Kuntze

“…According to the WHO classification, 33% patients had normal weight, 42% were defined as overweight, and 22% were obese. Obese patients showed statistically significant difference in their clinical parameters as having higher incidence of hypertension, diabetes mellitus, pulmonary hypertension, and chronic obstructive pulmonary disease; on the contrary, obese patients were found to be younger than others. …”
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Adipokines and Endothelium Dysfunction Markers in Pregnant Women with Gestational Hypertension by Elżbieta Poniedziałek–Czajkowska, Radzisław Mierzyński, Dominik Dłuski, Bożena Leszczyńska-Gorzelak

“…The comparable adiponectin levels in GH and healthy pregnant patients and the lack of its correlation with BMI may indicate the occurrence of a protective mechanism in pregnancy maintaining its concentration and preserving from the consequences of the decrease in its levels in overweight and obese patients. Since ADMA levels were similar in GH and healthy pregnant women, ADMA seems not to be involved in GH pathogenesis, suggesting that NO synthesis is not impaired in this pregnancy complication. …”
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Colonic Mucosal Microbiota in Colorectal Cancer: A Single-Center Metagenomic Study in Saudi Arabia by Ahmed O. Alomair, Ibrahim Masoodi, Essam J. Alyamani, Abed A. Allehibi, Adel N. Qutub, Khalid N. Alsayari, Musaad A. Altammami, Ali S. Alshanqeeti

“…The majority 11 (37%) of our patients were overweight (BMI = 25–30). Rectal bleeding was the presenting symptom in 18/29 (62%), while symptomatic anemia was the presenting symptom in 11/29 (37%). …”
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Body Fat and Obesity Rates, Cardiovascular Fitness, and the Feasibility of a Low-Intensity Non–Weight-Centric Educational Intervention Among Late Adolescents: Quasi-Experimental St... by Areeg Zuair, Fahad M Alhowaymel, Rola A Jalloun, Naif S Alzahrani, Khalid H Almasoud, Majdi H Alharbi, Rayan K Alnawwar, Mohammed N Alluhaibi, Rawan S Alharbi, Fatima M Aljohan, Bandar N Alhumaidi, Mohammad A Alahmadi

“…Independent tχ ResultsThe prevalence of overweight and obesity based on BAZ was 37.9% (36/95), while 50.5% (48/95) of participants were classified as overfat or obese based on fat percentage. …”
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Association between Abdominal Fat (DXA) and Its Subcomponents (CT Scan) before and after Weight Loss in Obese Postmenopausal Women: A MONET Study by Caroline Y. Doyon, Martin Brochu, Virginie Messier, Marie-Ève Lavoie, May Faraj, Éric Doucet, Rémi Rabasa-Lhoret, Isabelle J. Dionne

“…To determine (1) the associations between AF-DXA and ScF and VF before and after weight loss and (2) the associations between their changes. Methods. 137 overweight/obese postmenopausal women were divided in two groups (1-caloric restriction or 2-caloric restriction + resistance training). …”
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Exploring avocado consumption and health: a scoping review and evidence map by Stephen A. Fleming, Tristen L. Paul, Rachel A. F. Fleming, Alison K. Ventura, Megan A. McCrory, Corrie M. Whisner, Paul A. Spagnuolo, Louise Dye, Jana Kraft, Jana Kraft, Nikki A. Ford

“…Studies were largely conducted in the United States or Latin America and generally included adults, with overweight/obesity, frequently with elevated lipid concentrations. …”
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Discovery of robust and highly specific microbiome signatures of non-alcoholic fatty liver disease by Emmanouil Nychas, Andrea Marfil-Sánchez, Xiuqiang Chen, Mohammad Mirhakkak, Huating Li, Weiping Jia, Aimin Xu, Henrik Bjørn Nielsen, Max Nieuwdorp, Rohit Loomba, Yueqiong Ni, Gianni Panagiotou

“…Moreover, using these signatures coupled with further mediation analysis and metabolic dependency modeling, we propose synergistic defined microbial consortia associated with NAFLD phenotype in overweight and lean individuals, respectively. Conclusion Our study reveals robust and highly specific NAFLD signatures and offers a more realistic microbiome-therapeutics approach over individual species for this complex disease. …”
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Age-stratified analysis of the BMI-kidney stone relationship: findings from a national cross-sectional study by Liuliu Zhou, Wei Gu, Yufeng Jiang, Haimin Zhang

“…BMI was categorized as normal weight (&lt;25.0 kg/m2), overweight (25.0–29.9 kg/m2), and obesity (≥30.0 kg/m2). …”
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Using CT imaging to identify sarcopenia as a risk factor for severe falls in older adults by Nadja Fries, Angeliki Kotti, Mischa Woisetschläger, Anna Spångeus

“…Results The severe fall group showed higher grade of sarcopenia compared to the non-severe fall group (SMI ratio of 71% vs. 83%, p = 0.041) as well as lower, though statistically non-significant, BMI and subcutaneous adipose tissue (SAT) (BMI 22 [20–24] vs. 24 [22–27] kg/m2, p = 0.108, and SAT 95 ± 70 cm² vs. 141 ± 94 cm², p = 0.124). Overweight was more common in non-severe than severe fall group (43% vs. 14%, p = 0.048). …”
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High-Fiber Extruded Purple Sweet Potato ( Ipomoea batatas ) and Kidney Bean ( Phaseolus vulgaris ) Extends the Feeling of Fullness by Eny Palupi, Naufal Muharam Nurdin, Ghina Mufida, Fadhilah Nur Valentine, Ricter Pangestika, Rimbawan Rimbawan, Ahmad Sulaeman, Dodik Briawan, Fitry Filianty

“…This research showed that the consumption of high-fiber extruded sweet potato with kidney bean could significantly extend the feeling of fullness with low energy contribution so that it might prevent excess calorie intake contributing to overweight and obesity.…”
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Impact of Obesity on Clinicopathologic Characteristics and Disease Prognosis in Pre- and Postmenopausal Breast Cancer Patients: A Retrospective Institutional Study by Nehad M. Ayoub, Rami J. Yaghan, Nour M. Abdo, Ismail I. Matalka, Laila M. Akhu-Zaheya, Alia H. Al-Mohtaseb

“…Mean age at diagnosis was significantly higher for overweight and obese patients compared to underweight/normal patients (P<0.001). …”
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Pre-diagnostic risk factors for brain cancer incidence and survival: insights from the Golestan Cohort Study by Parisa Rezanejad-Asl, Peyvand Parhizkar Roudsari, Negar Rezaei, Maryam Sharafkhah, Gholamreza Roshandel, Hossein Poustchi, Sadaf Sepanlou, Reza Malekzadeh

“…In the multiple model, Turkmen ethnicity (Hazard Ratio = 0.42 (0.23–0.76)), urban residence (HR = 0.46 (0.25–0.84)), overweight or obesity (HR = 0.48 (0.25–0.93)), and history of animal contact (HR = 0.43 (0.19–0.96)) were associated with a better survival. …”
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Cardiorenal Involvement in Metabolic Syndrome Induced by Cola Drinking in Rats: Proinflammatory Cytokines and Impaired Antioxidative Protection by Matilde Otero-Losada, Hernán Gómez Llambí, Graciela Ottaviano, Gabriel Cao, Angélica Müller, Francisco Azzato, Giuseppe Ambrosio, José Milei

“…Compared with W, C rats showed (I) overweight (+8%, p<0.05), hyperglycemia (+11%, p<0.05), hypertriglyceridemia (2-fold, p<0.001), higher AIP (2-fold, p<0.01), and lower Q10 level (−55%, p<0.05); (II) increased LV diastolic diameter (+9%, p<0.05) and volume (systolic +24%, p<0.05), posterior wall thinning (−8%, p<0.05), and larger cardiac output (+24%, p<0.05); (III) glomerulosclerosis (+21%, p<0.05), histopathology (+13%, p<0.05), higher tubular expression of IL-6 (7-fold, p<0.001), and TNFα (4-fold, p<0.001). …”
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Prediction of Blood Lipid Phenotypes Using Obesity-Related Genetic Polymorphisms and Lifestyle Data in Subjects with Excessive Body Weight by Omar Ramos-Lopez, Jose I. Riezu-Boj, Fermin I. Milagro, Marta Cuervo, Leticia Goni, J. A. Martinez

“…This cross-sectional study enrolled 304 unrelated overweight/obese adults of self-reported European ancestry. …”
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The Changes of Serum Leptin and Kisspeptin Levels in Chinese Children and Adolescents in Different Pubertal Stages by Hui juan Zhu, Su juan Li, Hui Pan, Naishi Li, Dian xi Zhang, Lin jie Wang, Hong bo Yang, Qinyong Wu, Feng ying Gong

“…In conclusion, kisspeptin levels were firstly found to be notably changed in pubertal stages and nutritional status in Chinese children and adolescents with a significant sexual dimorphism. Obese/overweight girls had higher kisspeptin levels, and there was a positive correlation between kisspeptin and FSH and LH and obesity-related parameters in all boys and girls.…”
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Preventive Adolescent Health Care in Family Practice: A Program Summary by Barry Knishkowy, Moshe Schein, Alexander Kiderman, Aliza Velber, Richard Edman, John Yaphe

“…Common biomedical problems included overweight, acne and dysmenorrhea. Health risk behaviors and psychosocial problems included cigarette or alcohol use, dieting, infrequent/never seat belt use, and feeling depressed. 78% wanted to discuss at least one personal health issue. 27% were invited for follow-up visits. …”
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