Oral Health Differences Between Middle-Aged and Older Adults in South Korea by Yoonjung Ji, Wonhee Baek

“…However, cognitive function, dental visits, body mass index, severe pain, functional limitations, and cognitive function exhibited distinct patterns between the age groups. …”
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Early Subclinical Atherosclerosis in Gestational Diabetes: The Predictive Role of Routine Biomarkers and Nutrigenetic Variants by Marica Franzago, Federica Fraticelli, Marta Di Nicola, Francesco Bianco, Daniela Marchetti, Claudio Celentano, Marco Liberati, Raffaele De Caterina, Liborio Stuppia, Ester Vitacolonna

“…We also found significant associations between the APOA5 CC genotype and cIMT after adjustments for age and body mass index (p=0.045) and between the interaction CC APOA5/CC LDLR and cIMT (p=0.010). …”
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Epidemiology of clinically significant migraine in Israel: a retrospective database study by A. Shifrin, E. Domany, M. Tirosh, D. Davidovici, S. Vinker, I. Forschner, A. Israel

“…Compared to a matched control population, migraine patients showed a higher prevalence of low body mass index (BMI) and higher diastolic blood pressure (BP). …”
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The relationships among food neophobia, mediterranean diet adherence, and eating disorder risk among university students: a cross-sectional study by Nilufer Ozkan, Fatma Hazan Gul

“…Results Most participants (67.7%) had a normal body mass index (BMI), 19.3% were classified as overweight, and 3.7% were classified as obese. …”
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The Magnitude of Salt Intake Behaviors and Its Predictors among Saqez Urban Population of Kurdistan District in Iran: A Cross-Sectional Study by Kolsom Khoram, Mohammad Asghari-Jafarabadi, Mehrangiz Ebrahimi-Mamagani, Behjat Shokrvash, Maral Hariri-Akbari

“…Data collection was performed using valid questionnaires, demographic, family economic status, knowledge, perception, intention, salt intake behaviors, and salt control methods, along with measuring body mass index (BMI) and hypertension levels. Descriptive, analytical statistical methods and multivariate logistic regression analysis were used to determine the predictors of desirable salt control methods. …”
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Interaction of genetics risk score and fatty acids quality indices on healthy and unhealthy obesity phenotype by Niloufar Rasaei, Seyedeh Fatemeh Fatemi, Fatemeh Gholami, Mahsa Samadi, Mohammad Keshavarz Mohammadian, Elnaz Daneshzad, Khadijeh Mirzaei

“…Results We found significant interactions between GRS and N6/N3 in the adjusted model controlling for confounding factors (age, body mass index, energy, and physical activity) (β = 2.26, 95% CI: 0.008 to 4.52, P = 0.049). …”
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Analysis of the morbidity characteristics and related factors of pulmonary nodules in patients with type 2 diabetes mellitus: a retrospective study by Jie Yang, Wenna Wang, Yizhen Lu, Chunyao Li, Shuwu Wei, Weiwei Sun

“…Results Compared to the non-PNs group, the PNs Patients in the group had a longer duration of diabetes, higher age, serum creatinine (SCR), blood urea nitrogen (BUN) and the lower albumin (ALB) and body mass index (BMI); women, diabetic retinopathy (DR), diabetic peripheral neuropathy (DPN), and estimated glomerular filtration rate (eGFR) < 60 ml/min1.73m2 were more represented in the PNs group; there were fewer patients with overweight in the PNs group. …”
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Association Between Cardiometabolic Comorbidity Burden and Outcomes in Heart Failure by Carine E. Hamo, Xiyue Li, Chiadi E. Ndumele, Amrita Mukhopadhyay, Samrachana Adhikari, Saul Blecker

“…Severely uncontrolled comorbidities were defined as systolic blood pressure ≥160 mm Hg, hemoglobin A1c ≥8%, and body mass index ≥35 kg/m2. Cox regression models were used to assess the association between cardiometabolic comorbidity burden and time to all‐cause and HF hospitalization at 1 year, adjusting for age, sex, race or ethnicity, and insurance status, smoking, prior hospitalization, and Elixhauser comorbidity index. …”
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Obesity and the Odds of Weight Gain following Androgen Deprivation Therapy for Prostate Cancer by Lior Z. Braunstein, Ming-Hui Chen, Marian Loffredo, Philip W. Kantoff, Anthony V. D'Amico

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Liver fibrosis and markers of endothelial function at metabolic syndrome and early disorders of carbohydrate metabolism by L. V. Chesnokova, I. M. Petrov, Ye. A. Sidorova, I. A. Troshina, Yu. A. Petrova

“…Overall 67 patients with metabolic syndrome (MS) in combination to early carbohydrate metabolism disorders (71,6% women), mean age was 47,5 (42–49 years), body mass index — 34,6 kg/m2 (32,4–38,4 kg/m2) were investigated. …”
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Impacts of stigma and discrimination on people with obesity who smoke cigarettes by Liza A. Kolbasov, Arryn A. Guy, Cara M. Murphy

“…This study examined associations between stigma, discrimination, and health for people with overweight or obesity (body mass index [BMI] ≥ 25) who smoke cigarettes (cigarettes smoked/day ≥ 5) who reported interest in quitting smoking and minimizing weight gain. …”
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Association between Serum Uric Acid to HDL-Cholesterol Ratio and Nonalcoholic Fatty Liver Disease in Lean Chinese Adults by Ya-Nan Zhang, Qin-Qiu Wang, Yi-Shu Chen, Chao Shen, Cheng-Fu Xu

“…A cross-sectional study was performed among 6285 lean Chinese adults (body mass index < 24 kg/m2) who took their annual health checkups. …”
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Association between weekend catch-up sleep and chronic kidney disease: insights from NHANES 2017–2020 by Sheng Chen, Ting Zhang, Hongjun Gao, Jianqiang Zhang

“…Subgroup analyses showed stronger negative associations (p < 0.05) for men and women with a WCS of 2-3 h, adults under 60 years of age with a WCS of 2-3 h, those with less than 1 h of catch-up sleep on weekends and a body mass index (BMI) of 25-29.9, those with a BMI of less than 25 or greater than or equal to 30 with a WCS of 2-3 h, and those with less than 7 h of sleep on weekdays and 2-3 h of catch-up sleep on weekends.Conclusion Our findings suggest that when weekday sleep duration is < 7 h, WCS in 2-3 h is strongly associated with a lower prevalence of CKD.…”
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Relationship between plasma uric acid levels, antioxidant capacity, and oxidative damage markers in overweight and obese adults: A cross-sectional study. by Natalia Albuja-Quintana, Aida M Chisaguano-Tonato, Maria E Herrera-Fontana, Sandra Figueroa-Samaniego, José M Alvarez-Suarez

“…This cross-sectional study included 93 adult volunteers (28 men and 65 women) from the city of Machala, El Oro, Ecuador, divided into three study groups according to Body Mass Index (normal weight, overweight, and obese). …”
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The Polymorphism rs2725220 Is Associated with Hyperuricemia in the Korean Population by Jae Woong Sull, Seung-Ju Yang, Soriul Kim, Sun Ha Jee

“…When analyzed by gender, the association with ABCG2 was stronger in men than in women. The association with ABCG2 was much stronger in male subjects with body mass index (BMI) ≥ 26.4 (odds ratio, 5.09; 95% confidence interval, 2.41 to 10.8) than in male subjects with BMI < 26.4. …”
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Association between chronic fatigue syndrome/myalgic encephalomyelitis and cardiovascular disease by Mawulorm K. I. Denu, Ritika Revoori, Cherita Eghan, Fredrick Larbi Kwapong, Andrew Hillman, Cornelius A. Normeshie, Kofi Poku Berko, Emily L. Aidoo, Maame Araba E. Buadu

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Association of Circulating Neprilysin with BMI, Cardiovascular Health, and Kidney Function in High-Risk Pregnancies: A Pilot Study by Kaltrina Kutllovci Hasani, Azra Kulovic-Sissawo, Adam Saloň, Christina Stern, Karoline Mayer-Pickel, Mila Cervar-Zivkovic, Nandu Goswami, Herbert Fluhr, Ursula Hiden

“…Methods: Observed parameters were analyzed in 29 high-risk pregnant women across early, mid-, and late pregnancy. sNEP levels were analyzed alongside body mass index (BMI), endothelial dysfunction (ADMA), arterial stiffness (pulse wave velocity, PWV), retinal microvasculature (central retinal arteriolar and venular equivalents, CRAE and CRVE), and kidney function markers. …”
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Principles of effective out-patient diagnostics of diffuse liver diseases by Komova A. G., M. V. Mayevskaya, V. T. Ivashkin

“…Risk factors for diseases, defined by one-way ANOVA test, were: male gender (p&lt;0,001), excessive body weight and obesity (body mass index &gt;25 kg/m2 (p&lt;0,001)), hyperglycemia (p&lt;0,001), hypertriglyceridemia (p&lt;0,001). …”
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Cohort profile: Noncommunicable diseases and ideal cardiovascular health among people living with and without HIV in Zambia and Zimbabwe (NCDzz cohort) by Gilles Wandeler, Samuel Bosomprah, Cleophas Chimbetete, Belinda Varaidzo Chihota, Guy Muula, Carolyn Bolton-Moore, Tinei Shamu, Ardele Mandiriri, Esau Banda

“…Overall, 60% of participants met the criteria of ICVH metrics (5–7 ideal components) and among individual components of the LS7, more females had poor body mass index (BMI) than males, regardless of HIV status (27% vs 3%, p&lt;0.001). …”
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Lifestyle risk factors for overweight and obesity among rural Indian adults: a community-based prospective cohort study by Rajesh Kumar Rai, Sabri Bromage, Jan-Walter De Neve, Anamitra Barik

“…India’s nutrition transition has led to an increased burden of overweight/obesity (body mass index of ≥23 kg/m2), driven by lifestyle factors like poor diet, inactivity, and substance use, prompting public health interventions. …”
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